Category Archives: Data Mining
Second-largest indicated-or-better rare earth resource in the US now identified – MINING.COM – MINING.com
According to the 2022 feasibility study, the Elk Creek project contains an estimated 632.9 kilotonnes of contained total rare earth oxides in the indicated mineral resource category. According to US Geological Survey data, this places the Elk Creek mineral resource behind MP Materials Mountain Pass deposit in the US but ahead of all other current rare earth projects in terms of contained TREO from a NI 43-101 rare earth resource of indicated or higher classification, NioCorp said in a media statement.
The company pointed out that the 2022 feasibility study also showed that, in addition to relatively high grades of niobium, scandium, and titanium, the Elk Creek mineral resource contains various amounts of all REEs.
There is potential for NioCorps REEs to be mined, crushed, and placed into solution as part of the process NioCorp plans to use to produce its primary niobium, scandium, and titanium products once project financing is secured, the release states. Depending upon the outcome of metallurgical testing on REE recovery rates from Elk Creek ore, now being conducted at a demonstration plant in Quebec, and whether necessary project financing is secured, NioCorp could produce separated rare earths as a byproduct, placing it at a competitive advantage vis--vis other rare earth projects.
Given these results, the Colorado-based firm plans to commission a new technical report on the Elk Creek project in accordance with NI 43-101.
Using a $180/tonne NSR cut-off that was calculated using solely the contained niobium, scandium, and titanium in the mineral resource, the 2022 feasibility study showed that the Elk Creek Indicated Mineral Resource includes:
In order to update the projects mineral resource to include REE data, NioCorp and its consultants were required to complete additional assays of historical drill core to fill data gaps in the existing resource database and re-model the mineral resource. The mine plan and mineral reserve were also updated, independent of the REE data collection and REE by-product mineral resource.
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Mining companies in Goa asked to take care of ‘pits’ – Investing.com India
Panaji, May 23 (IANS) Admitting that his department will not be in a position to manage any mishap, Goa's Water Resources Department (WRD) Minister Subhas Shirodkar said that Mining companies have been asked to take care of 'pits' during the monsoon season.
Shirodkar, speaking to media persons here, said that his department won't be able to manage these pits all of a sudden. "We can drain out water, but if a landslide occurs then we won't be able to manage it. Hence mining companies are told to take care of it," the WRD minister said.
The state government has recently started the process to take over 88 mining leases by issuing notices to vacate the leases by June 6. Some of the companies while vacating had also started to remove water pumps from pits. However, now they have been asked to take adequate measures to manage pits.
"Mining pits come under the Mining Ministry. The Chief Minister is handling the issue," Shirodkar said.
He said that his department will monitor the situation.
Chief Minister Pramod Sawant had recently said that if mining companies fail to adhere to the request then Water Resources Department (WRD) and Public Works Department (PWD) will take care of the issue.
Mining companies have been asked to maintain the mining pits this year.
--IANS
sanjay/skp/
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Mining companies in Goa asked to take care of 'pits' - Investing.com India
Russia dominates nuclear power supply chains and the West needs to prepare now to be independent in the future – CNBC
Wind turbine and cooling towers of the Cruas-Meysse nuclear power plant in France, April 12, 2021.
Jean-Marie HOSATTE | Gamma-Rapho | Getty Images
Russia's war in Ukraine has pushed countries around the globe to wean themselves from Russian oil and natural gas.
Parallel conversations are imminent in the nuclear energy space, too, because Russia is also a dominant player in global supply chains of nuclear reactor technology, as is detailed by a new paper published Monday from Columbia University's Center on Global Energy Policy.
There were 439 nuclear reactors in operation around the globe in 2021, and 38 of them were in Russia, an additional 42 were made with Russian nuclear reactor technology, and 15 more under construction at the end of 2021 were being built with Russian technology.
Reducing or eliminating dependence on nuclear supply chains from Russia will vary by country and need.
If a country has not yet constructed nuclear reactors, then they can, from the beginning, decide not to contract with Russia. The U.S., France, Korea and China are "viable" supplier options, according to the paper.
Second, if a country already has Russian nuclear reactor models, VVERs, then probably looks to Russia for repair parts and services. (VVER stands for 'water-water energy reactor'in Russian, which is vodo-vodyanoi enyergeticheskiy reaktor in Russian, ergo the acronym.) In this case, countries can get repair assistance from Westinghouse, which is headquartered in Pennsylvania, according the the report.
Then there is the issue of fuel. Nuclear fission reactors are fueled with enriched uranium.
Russia mines approximately 6% of the raw uranium produced annually, according to the report. That's an amount that can be replaced if other countries that mine uranium increase their uranium mining.
However, uranium does not go directly from a mine into a nuclear reactor. It has to go through conversion and enrichment before it can be used as fuel in a nuclear reactor.
Here, Russia is a dominant player. Russia owned 40% of the total uranium conversion infrastructure in the world in 2020, and 46% of the total uranium enrichment capacity in the world in 2018, according to the report. (This was the most up-to-date data publicly available, according to the report authors.)
This is where the U.S. and allied countries would need to focus their attention, according to the report, which was co-authored by Paul Dabbar, a former under secretary of Energy for Science at the Department of Energy, and Matthew Bowen, a research scholar at Columbia's Center on Global Energy Policy.
Besides Russia, these uranium conversion and enrichment capabilities exist in Canada, France, Germany, the Netherlands, the United Kingdom and the United States.
Those capacities "are enough to replace at least some" of the conversion and enrichment that Western nuclear reactors need, but it's not clear that the capacity will be able to fully replace the Russian capacity.
The U.S. also needs to be prepared for fuel that goes into advanced reactors, which are currently in development, and require uranium enriched to 15 to19.75%, where conventional light water reactors that are currently in operation in the United States use uranium enriched to between 3 to 5 %.
This high-assay low-enriched uranium (HALEU) fuel is currently only available at a commercial scale from Russia, according to the report.
"More investment in mining, conversion, and enrichment facilities may be necessary to fully extricate Western nuclear fuel chains from Russian involvement, Dabbar and Bowen write in their report. "However, adding sufficient new conversion capacity and enrichment capacity will take years to accomplish."
But to convince private companies to dedicate money and resources to uranium infrastructure, they need the government to commit to not reverting to Russian supplies.
"Their worry will be that in a year or two, perhaps less, Russian uranium products will be allowed back into national markets and will undercut them, causing them to lose out on their investments," Dabbar and Bowen said.
In the United States, there is only one uranium conversion facility it's in Metropolis, Illinois and it has been on standby since November 2017. Its reopening is "pending market improvement and customer support," according to a power point presentation from the partnership between General Atomics and Honeywell that operates the plant, ConverDyn. It won't be able to return to operability until 2023, when it could convert 7,000 tons of uranium per year. To ramp up to 15,000 tons per year, it will take the one plant longer than 2023.
Therefore, Dabbar and Bowen said it would be prudent for the United States to wean off Russian confinement capacity "a period of years not months."
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IoT in Healthcare Market is projected to grow at a CAGR of 18.0%, reaching US$ 952.3 Billion by 2032 – Digital Journal
[297 Pages Report] The globalIoT in healthcare marketis projected to reach US$ 181.4 Billion in 2022, anticipated to grow at a CAGR of 18.0%, reaching US$ 952.3 Billion by 2032. The market is slated to document a Y-o-Y growth rate of 20.7% from 2021-2022, increasing from the previously registered value of US$ 150.3 Billion.
By enabling real-time patient data access and remote patient monitoring, the Internet of Things (IoT) has the potential to disrupt traditional paper-based healthcare therapy. With the emergence of this digital healthcare technology, the impending need for enhanced diagnostics and targeted therapeutic options was met.
Furthermore, it not only enables physicians to remotely monitor patients, but it also functions as a fitness and wellness tracker for athletes and a dose reminder for patients. The successful implementation of IoT in remote monitoring of diabetic and asthma patients, along with the growing usage of fitness and wellness devices, has resulted in a considerable demand for the IoT healthcare business.
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Key Takeaways from the Market StudyIoT in healthcare experienced a growth rate worth 18.8% between 2015 and 2021
Portable diagnostic devices in the IoT in Healthcare segment to expand at a CAGR of 10.1% during the forecast period
In the U.S., the market is predicted to reach US$ 208.1 Billion while growing at a CAGR of 18.9% during the forecast period
Chinas market is expected to reach a market value of US$ 92.8 Billion with a CAGR of 19.5% during the forecast period
Big data analytics is an area of IoT that is quickly expanding. The most recent breakthroughs in machine learning, logical procedures, computational intelligence, and data mining are required for big data analytics, says an FMI analyst.
Competitive Landscape
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Key players that have been profiled in the report are Apple Inc., Cisco Systems Inc., GE Healthcare Ltd., Google (Alphabet), International Business MachinesCorporation, Medtronic PLC, Microsoft Corporation, Proteus Digital Health, Koninklijke Philips N.V., QUALCOMM Incorporated, and Abbot Laboratories are among companies that offer products and technologies that will allow customers to take advantage of new technologies.
In April 2019, Royal Philips and Spencer Health Solutions expanded their relationship to provide chronically sick patients in selected European Union (EU) nations with in-home medication adherence and the Philips telehealth platform.
Medtronic worked with IBM Watson in January 2019 to provide IQcast, a new feature of its current product Sugar.IQ, for iOS mobile devices in the United States. The software would provide patients with a hypoglycemic episode to monitor their low glucose level by anticipating the occurrence 1 to 4 hours in advance.
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The Worldwide Jewelry Industry is Expected to Reach $459 Billion by 2030 – GlobeNewswire
Dublin, May 20, 2022 (GLOBE NEWSWIRE) -- The "Jewelry Market Share, Size, Trends, Industry Analysis Report, By Product; By Material Type; By Category; By Distribution Channel; By Region; Segment Forecast, 2022 - 2030" report has been added to ResearchAndMarkets.com's offering.
The global jewelry market size is expected to reach USD 459.43 billion by 2030, according to a new study. The report gives a detailed insight into current market dynamics and provides analysis on future market growth.
Ornaments have gained traction in the emerging market due to lifestyle changes and a rise in the prices of precious metal ornaments, contributing to the growth of the industry size. Also, female consumers' increased fashion consciousness and increased acceptance of pieces of ornaments such as necklaces, rings, and bracelets support the growth of the industry. Further, rising investment in jewelry development, rising partnerships, and geographical expansion by the major players drive industry growth.
For instance, Malbar Group would spend Rs. 750 crore (US$ 100 Billion) in a gold refining and jewelry business in Hyderabad in September 2021. Malabar Gold & Diamonds said in April 2021 that it would invest Rs. 1,600 crore (US$ 214 Billion) in FY22 to open 56 outlets, 40 of which would be in India and 16 in international markets.
Moreover, Tanishq will launch antimicrobial jewelry in select areas as a trial project in June 2021. In addition to it, the World Gold Council and the Gem and Jewellery Export Promotion Council struck an agreement in June 2021 to produce gold ornaments in India. In March 2021, Joyalukkas partnered with IBM to design, build, and deploy a cloud-based e-commerce platform across 11 countries. However, obstacles impeding industry growth include rising raw material prices for ornaments, changes in ornaments packaging patterns, and the product's short-term appeal. Thus, these factors are boosting the market growth during the forecast period.
Based on the product, the ring segment accounted for the leading share in the market in 2021. The increased customer interest in the exquisite designs and features of the rin30gs is the primary cause for this jewelry's success. Rings are also thought to be fashionable and elegant. As a result, increased consumption of men's signet rings is likely to drive the industry.
Rings come in a variety of sizes and forms. They are used not only during engagements and anniversaries but also regularly. Silver, for example, is believed to have healing powers and assist with heat production and circulation. As a result, many people are wearing silver rings. The accessibility of custom-made rings and increased awareness of the religious benefits of various metals are predicted to drive the ring product segment throughout the forecast period.
Market players such as Buccellati, Cartier, Chow Tai Fook Jewelry Company Limited, LVMH Group, Malabar Gold & Diamonds, Swarovski, Tata Sons Private Ltd, The Swatch Group AG, are some key players operating in the global market.
Key Topics Covered:
1. Introduction
2. Executive Summary
3. Research Methodology3.1. Overview3.1.1. Data Mining3.2. Data Sources3.2.1. Primary Sources3.2.2. Secondary Sources
4. Global Jewelry Market Insights4.1. Jewelry - Industry Snapshot4.2. Jewelry Market Dynamics4.2.1. Drivers and Opportunities4.2.1.1. Increasing disposable income4.2.1.2. Changing lifestyles and perception of jewelry4.2.2. Restraints and Challenges4.2.2.1. High cost4.3. Porter's Five Forces Analysis4.3.1. Bargaining Power of Suppliers (Moderate)4.3.2. Threats of New Entrants: (Low)4.3.3. Bargaining Power of Buyers (Moderate)4.3.4. Threat of Substitute (Moderate)4.3.5. Rivalry among existing firms (High)4.4. PESTLE Analysis4.5. Jewelry Industry Trends4.6. Value Chain Analysis4.7. COVID-19 Impact Analysis
5. Global Jewelry Market, by Product5.1. Key Findings5.2. Introduction5.2.1. Global Jewelry Market, by Product, 2018 - 2030 (USD Billion)5.3. Necklace5.3.1. Global Jewelry Market, by Necklace, by Region, 2018 - 2030 (USD Billion)5.4. Ring5.4.1. Global Jewelry Market, by Ring, by Region, 2018 - 2030 (USD Billion)5.5. Earrings5.5.1. Global Jewelry Market, by Earrings, by Region, 2018 - 2030 (USD Billion)5.6. Bracelet5.6.1. Global Jewelry Market, by Bracelet, by Region, 2018 - 2030 (USD Billion)5.7. Others5.7.1. Global Jewelry Market, by Others, by Region, 2018 - 2030 (USD Billion)
6. Global Jewelry Market, by Material Type6.1. Key Findings6.2. Introduction6.2.1. Global Jewelry Market, by Material Type, 2018 - 2030 (USD Billion)6.3. Silver6.3.1. Global Jewelry Market, by Silver, by Region, 2018 - 2030 (USD Billion)6.4. Gold6.4.1. Global Jewelry Market, by Gold, by Region, 2018 - 2030 (USD Billion)6.5. Platinum6.5.1. Global Jewelry Market, by Platinum, by Region, 2018 - 2030 (USD Billion)6.6. Diamond6.6.1. Global Jewelry Market, by Diamond, by Region, 2018 - 2030 (USD Billion)6.7. Others6.7.1. Global Jewelry Market, by Others, by Region, 2018 - 2030 (USD Billion)
7. Global Jewelry Market, by Category7.1. Key Findings7.2. Introduction7.2.1. Global Jewelry Market, by Category, 2018 - 2030 (USD Billion)7.3. Branded7.3.1. Global Jewelry Market, by Branded, by Region, 2018 - 2030 (USD Billion)7.4. Unbranded7.4.1. Global Jewelry Market, by Unbranded, by Region, 2018 - 2030 (USD Billion)
8. Global Jewelry Market, by Distribution Channel8.1. Key Findings8.2. Introduction8.2.1. Global Jewelry Market, by Distribution Channel, 2018 - 2030 (USD Billion)8.3. Offline8.3.1. Global Jewelry Market, by Offline, by Region, 2018 - 2030 (USD Billion)8.4. Online8.4.1. Global Jewelry Market, by Online, by Region, 2018 - 2030 (USD Billion)
9. Global Jewelry Market, by Geography
10. Competitive Landscape10.1. Expansion and Acquisition Analysis10.1.1. Expansion10.1.2. Acquisitions10.2. Partnerships/Collaborations/Agreements/Exhibitions
11. Company Profiles11.1. Buccellati11.1.1. Company Overview11.1.2. Financial Performance11.1.3. Product Benchmarking11.1.4. Recent Development11.2. Cartier11.2.1. Company Overview11.2.2. Financial Performance11.2.3. Product Benchmarking11.2.4. Recent Development11.3. Chow Tai Fook Jewelry Company Limited11.3.1. Company Overview11.3.2. Financial Performance11.3.3. Product Benchmarking11.3.4. Recent Development11.4. LVMH Group11.4.1. Company Overview11.4.2. Financial Performance11.4.3. Product Benchmarking11.4.4. Recent Development11.5. Malabar Gold & Diamonds11.5.1. Company Overview11.5.2. Financial Performance11.5.3. Product Benchmarking11.5.4. Recent Development11.6. PANDORA JEWELRY LLC11.6.1. Company Overview11.6.2. Financial Performance11.6.3. Product Benchmarking11.6.4. Recent Development11.7. SHR Jewelry Group11.7.1. Company Overview11.7.2. Financial Performance11.7.3. Product Benchmarking11.7.4. Recent Development11.8. Swarovski11.8.1. Company Overview11.8.2. Financial Performance11.8.3. Product Benchmarking11.8.4. Recent Development11.9. Tata Sons Private Ltd.11.9.1. Company Overview11.9.2. Financial Performance11.9.3. Product Benchmarking11.9.4. Recent Development11.10. The Swatch Group AG11.10.1. Company Overview11.10.2. Financial Performance11.10.3. Product Benchmarking11.10.4. Recent Development
For more information about this report visit https://www.researchandmarkets.com/r/61onfk
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The Worldwide Jewelry Industry is Expected to Reach $459 Billion by 2030 - GlobeNewswire
Global Anomaly Detection Market to Reach US$8.6 Billion by the Year 2026 – Yahoo Finance
ReportLinker
Abstract: What`s New for 2022? - Global competitiveness and key competitor percentage market shares. - Market presence across multiple geographies - Strong/Active/Niche/Trivial.
New York, May 16, 2022 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Global Anomaly Detection Industry" - https://www.reportlinker.com/p05797895/?utm_source=GNW - Online interactive peer-to-peer collaborative bespoke updates - Access to our digital archives and MarketGlass Research Platform - Complimentary updates for one year - Global Anomaly Detection Market to Reach US$8.6 Billion by the Year 2026
- Anomaly detection, also referred to as outlier detection, in data mining, refers to the identification of observations, events or items that are rare and which create suspicions by way of being significantly different from majority or rest of data. Detecting anomalies or abnormalities in datasets, in the early stages of their occurrence is critical. Growth in the global market is attributed to increasing incident of internal threats and cyber frauds that have established anomaly detection as a mega trend with universal recognition. These solutions are gaining traction among businesses to detect strange patterns in network data traffic indicating hacking attempt and fraudulent activities. The use of anomaly detection is not only limited to fraud detection in online transactions, but also entails detection of faults in operating environments. Anomaly detection is finding increasing attention from proliferation of the IoT and growing demand for advanced solutions to monitor associated use cases. The market growth is favored by increasing use of anomaly detection solutions in software testing along with rising attention on high-performance data analysis (HPDA). Global demand for anomaly detection is also attributed to increasing introduction of advanced solutions with new functions and features. Various companies serving the market are exploiting machine learning and AI technologies for developing solutions intended to assist users in quickly identifying abrupt changes in patterns and behavior.
- Amid the COVID-19 crisis, the global market for Anomaly Detection estimated at US$4.8 Billion in the year 2022, is projected to reach a revised size of US$8.6 Billion by 2026, growing at a CAGR of 15.8% over the analysis period. Solutions, one of the segments analyzed in the report, is projected to grow at a 16.4% CAGR to reach US$7.2 Billion by the end of the analysis period. After a thorough analysis of the business implications of the pandemic and its induced economic crisis, growth in the Services segment is readjusted to a revised 14.2% CAGR for the next 7-year period. This segment currently accounts for a 27.9% share of the global Anomaly Detection market. The U.S. Market is Estimated at $2.1 Billion in 2022, While China is Forecast to Reach $997.4 Million by 2026
- The Anomaly Detection market in the U.S. is estimated at US$2.1 Billion in the year 2022. The country currently accounts for a 43.18% share in the global market. China, the world`s second largest economy, is forecast to reach an estimated market size of US$997.4 Billion in the year 2026 trailing a CAGR of 16.7% through the analysis period. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at 15% and 14.7% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 15.9% CAGR while Rest of European market (as defined in the study) will reach US$545.5 Million by the close of the analysis period. North America maintains the leading position in the global anomaly detection market owing to extensive uptake of the cloud and IoT technology, the bring-your-own-device (BYOD) trend and the presence of major players. The BYOD culture in the region along with proliferation of IoT and connected devices is resulting in high incident of anomalies and network breach. The trend is prompting an increasing number of organizations to embrace anomaly detection solutions and services for safeguarding business-critical information. The regional market is also gaining from high uptake of anomaly detection services among security and government agencies. Europe represents the second-leading market for anomaly detection due to technological advancements and significant investments by companies to come up with new solutions. In addition, various small-sized companies are partnering with major vendors for offering better solutions and extending their customer base. On the other hand, the anomaly detection market in Asia-Pacific is predicted to register the fastest growth owing to continuous expansion of the IT sector and increasing uptake of emerging technologies like the IoT, cyber-security, the cloud, augmented reality and big data & analytics. Select Competitors (Total 94 Featured) Broadcom, Inc. Cisco Systems, Inc. Dell Technologies, Inc. Happiest Minds Technologies Limited Hewlett Packard Enterprise Development LP International Business Machines Corporation Microsoft Corporation Nippon Telegraph and Telephone Corporation SAS Institute Inc. Securonix, Inc. Splunk, Inc. Trend Micro Incorporated Verint Systems Inc. Wipro Limited WSO2, Inc.
Read the full report: https://www.reportlinker.com/p05797895/?utm_source=GNW
I. METHODOLOGY
II. EXECUTIVE SUMMARY
1. MARKET OVERVIEW The Race Between the Virus & Vaccines Intensifies. Amidst this Chaotic Battle, Where is the World Economy Headed? Progress on Vaccinations: Why Should Businesses Care? COVID-19-Led Shift to Remote Working Industries Expedite Digital Transformation Strategies: AI Gains Significant Interest Applications of AI in War against the Pandemic Machine Learning Benefits Healthcare Organizations Retailers Rely on AI to Stay Afloat & Embrace New Normal Competitive Scenario EXHIBIT 1: Anomaly Detection - Global Key Competitors Percentage Market Share in 2022 (E) Competitive Market Presence - Strong/Active/Niche/Trivial for Players Worldwide in 2022 (E) Global Market Prospects & Outlook Emerging Threat Landscape Augurs Well for Global Anomaly Detection Market Anomaly Detection Goes Common with Favorable Trends & Drivers With IMF?s Upward Revision of Global GDP Forecasts, Most Companies are Bullish about an Economic Comeback Despite a Continuing Pandemic EXHIBIT 2: A Strong Yet Exceedingly Patchy & Uncertain Recovery Shaped by New Variants Comes Into Play: World Economic Growth Projections (Real GDP, Annual % Change) for 2020 through 2022 EXHIBIT 3: Easing Unemployment Levels in 2021 Although Moderate Will Infuse Hope for Industries Reliant on Consumer Discretionary Incomes: Global Number of Unemployed People (In Million) for Years 2019, 2020, 2021, and 2022 Analysis by Technology EXHIBIT 4: Global Anomaly Detection Market by Component (2021 & 2027): Percentage Breakdown of Revenues for Solutions, and Services EXHIBIT 5: Global Anomaly Detection Market by Technology (2021 & 2027): Percentage Breakdown of Revenues for Big Data Analytics, Data Mining & Business Intelligence, and Machine Learning & Artificial Intelligence Analysis by End-Use EXHIBIT 6: Global Anomaly Detection Market by End-Use (2021 & 2027): Percentage Breakdown of Revenues for BFSI, IT & Telecom, Government & Defense, Manufacturing, Healthcare, and Other End-Uses Regional Analysis EXHIBIT 7: World Anomaly Detection Market by Region (2021 & 2027): Percentage Breakdown of Revenues for Developed and Developing Regions EXHIBIT 8: World Data Governance Market - Geographic Regions Ranked by CAGR (Revenues) for 2020-2027: China, Asia-Pacific, USA, Europe, Japan, Canada, and Rest of World An Introduction to Anomaly Detection Technique Categories Anomaly Detection Settings Time-Series Anomalies: Types & Detection Methods Benefits and Use Cases of Anomaly Detection Applications Recent Market Activity Select Global Brands Emphasis on Technology Adoption Elicits AI Implementation in Manufacturing Industry
2. FOCUS ON SELECT PLAYERS
3. MARKET TRENDS & DRIVERS The Pace of Digital Transformation to Determine Pace of Demand for Anomaly Detection EXHIBIT 9: Digital Transformation by Industry: 2020 EXHIBIT 10: Industry Adoption of Artificial Intelligence (AI) by Function: 2020 Anomaly Detection Emerges as Future-Proof Strategy for Businesses Anomaly Detection, Analytics & Cognitive Intelligence Real-Time Anomaly Detection & Analytics Get Intertwined with Cognitive Intelligence Real-Time Anomaly Detection in Clusters Trends in Big Data to Shape Future of AI and Anomaly Detection Edge Computing Critical to IoT Anomaly Detection Hosting at Edge to Drive Growth EXHIBIT 11: Global Edge Computing Market in US$ Billion: 2020, 2024, and 2026 Convergence of AI and IoT to Bring in Efficiencies EXHIBIT 12: Global Breakdown of Investments in Manufacturing IoT (in US$ Billion) for the Years 2016, 2018, 2020 and 2025 EXHIBIT 13: Industry 4.0 Technologies with Strongest Impact on Organizations: 2020 ML-based Anomaly Detection Machine Learning and AI-Assisted Platforms Personalize Customer Experiences in Marketing Applications Leading to Demand Growth of Anomaly Detection MLAD Holds Potential to Identify Anomalies Anomaly Detection: Real Opportunities to Identify Time-Series Data Anomalies Anomalous Data Detection with Self-Supervised Learning: A Review Anomaly Detection Emerges as Hot Trend in Ad Tech Landscape Financial Sector: AI and ML Offer Numerous Gains for Anomaly Detection EXHIBIT 14: Top Technology Investments in BFSI Sector: 2021 EXHIBIT 15: Post Pandemic Focus of Banks on Digital Transformation to Benefit Anomaly Detection: % of Organizations Citing Priority for 2020 Anomaly Detection through AI Technology Steps into Manufacturing Space to Transform Diverse Aspects Industrial AI to Influence Manufacturing in a Major Way Industrial IoT, Robotics and Big Data to Stimulate Anomaly Detection EXHIBIT 16: Global Investments on Industry 4.0 Technologies (in US$ Billion) for the Years 2017, 2020, & 2023 EXHIBIT 17: Global Predictive Maintenance by Market in US$ Billion for Years 2020, 2022, 2024, and 2026 Challenges in Anomaly Detection Ad Fraud: The Implications & Anomaly Detection
4. GLOBAL MARKET PERSPECTIVE Table 1: World Recent Past, Current & Future Analysis for Anomaly Detection by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2020 through 2027 and % CAGR
Table 2: World Historic Review for Anomaly Detection by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2015 through 2019 and % CAGR
Table 3: World 12-Year Perspective for Anomaly Detection by Geographic Region - Percentage Breakdown of Value Revenues for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets for Years 2015, 2021 & 2027
Table 4: World Recent Past, Current & Future Analysis for Solutions by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2020 through 2027 and % CAGR
Table 5: World Historic Review for Solutions by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2015 through 2019 and % CAGR
Table 6: World 12-Year Perspective for Solutions by Geographic Region - Percentage Breakdown of Value Revenues for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2021 & 2027
Table 7: World Recent Past, Current & Future Analysis for Services by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2020 through 2027 and % CAGR
Table 8: World Historic Review for Services by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2015 through 2019 and % CAGR
Table 9: World 12-Year Perspective for Services by Geographic Region - Percentage Breakdown of Value Revenues for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2021 & 2027
Table 10: World Recent Past, Current & Future Analysis for Big Data Analytics by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2020 through 2027 and % CAGR
Table 11: World Historic Review for Big Data Analytics by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2015 through 2019 and % CAGR
Table 12: World 12-Year Perspective for Big Data Analytics by Geographic Region - Percentage Breakdown of Value Revenues for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2021 & 2027
Table 13: World Recent Past, Current & Future Analysis for Data Mining & Business Intelligence by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2020 through 2027 and % CAGR
Table 14: World Historic Review for Data Mining & Business Intelligence by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2015 through 2019 and % CAGR
Table 15: World 12-Year Perspective for Data Mining & Business Intelligence by Geographic Region - Percentage Breakdown of Value Revenues for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2021 & 2027
Table 16: World Recent Past, Current & Future Analysis for Machine Learning & Artificial Intelligence by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2020 through 2027 and % CAGR
Table 17: World Historic Review for Machine Learning & Artificial Intelligence by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2015 through 2019 and % CAGR
Table 18: World 12-Year Perspective for Machine Learning & Artificial Intelligence by Geographic Region - Percentage Breakdown of Value Revenues for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2021 & 2027
Table 19: World Recent Past, Current & Future Analysis for BFSI by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2020 through 2027 and % CAGR
Table 20: World Historic Review for BFSI by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2015 through 2019 and % CAGR
Table 21: World 12-Year Perspective for BFSI by Geographic Region - Percentage Breakdown of Value Revenues for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2021 & 2027
Table 22: World Recent Past, Current & Future Analysis for IT & Telecom by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2020 through 2027 and % CAGR
Table 23: World Historic Review for IT & Telecom by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2015 through 2019 and % CAGR
Table 24: World 12-Year Perspective for IT & Telecom by Geographic Region - Percentage Breakdown of Value Revenues for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2021 & 2027
Table 25: World Recent Past, Current & Future Analysis for Government & Defense by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2020 through 2027 and % CAGR
Table 26: World Historic Review for Government & Defense by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2015 through 2019 and % CAGR
Table 27: World 12-Year Perspective for Government & Defense by Geographic Region - Percentage Breakdown of Value Revenues for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2021 & 2027
Table 28: World Recent Past, Current & Future Analysis for Manufacturing by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2020 through 2027 and % CAGR
Table 29: World Historic Review for Manufacturing by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2015 through 2019 and % CAGR
Table 30: World 12-Year Perspective for Manufacturing by Geographic Region - Percentage Breakdown of Value Revenues for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2021 & 2027
Table 31: World Recent Past, Current & Future Analysis for Healthcare by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2020 through 2027 and % CAGR
Table 32: World Historic Review for Healthcare by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2015 through 2019 and % CAGR
Table 33: World 12-Year Perspective for Healthcare by Geographic Region - Percentage Breakdown of Value Revenues for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2021 & 2027
Table 34: World Recent Past, Current & Future Analysis for Other End-Uses by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2020 through 2027 and % CAGR
Table 35: World Historic Review for Other End-Uses by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2015 through 2019 and % CAGR
Table 36: World 12-Year Perspective for Other End-Uses by Geographic Region - Percentage Breakdown of Value Revenues for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2021 & 2027
III. MARKET ANALYSIS
UNITED STATES Anomaly Detection Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United States for 2022 (E) Market Analytics Table 37: USA Recent Past, Current & Future Analysis for Anomaly Detection by Component - Solutions and Services - Independent Analysis of Annual Revenues in US$ Million for the Years 2020 through 2027 and % CAGR
Table 38: USA Historic Review for Anomaly Detection by Component - Solutions and Services Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2015 through 2019 and % CAGR
Table 39: USA 12-Year Perspective for Anomaly Detection by Component - Percentage Breakdown of Value Revenues for Solutions and Services for the Years 2015, 2021 & 2027
Table 40: USA Recent Past, Current & Future Analysis for Anomaly Detection by Technology - Big Data Analytics, Data Mining & Business Intelligence and Machine Learning & Artificial Intelligence - Independent Analysis of Annual Revenues in US$ Million for the Years 2020 through 2027 and % CAGR
Table 41: USA Historic Review for Anomaly Detection by Technology - Big Data Analytics, Data Mining & Business Intelligence and Machine Learning & Artificial Intelligence Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2015 through 2019 and % CAGR
Table 42: USA 12-Year Perspective for Anomaly Detection by Technology - Percentage Breakdown of Value Revenues for Big Data Analytics, Data Mining & Business Intelligence and Machine Learning & Artificial Intelligence for the Years 2015, 2021 & 2027
Table 43: USA Recent Past, Current & Future Analysis for Anomaly Detection by End-Use - BFSI, IT & Telecom, Government & Defense, Manufacturing, Healthcare and Other End-Uses - Independent Analysis of Annual Revenues in US$ Million for the Years 2020 through 2027 and % CAGR
Table 44: USA Historic Review for Anomaly Detection by End-Use - BFSI, IT & Telecom, Government & Defense, Manufacturing, Healthcare and Other End-Uses Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2015 through 2019 and % CAGR
Table 45: USA 12-Year Perspective for Anomaly Detection by End-Use - Percentage Breakdown of Value Revenues for BFSI, IT & Telecom, Government & Defense, Manufacturing, Healthcare and Other End-Uses for the Years 2015, 2021 & 2027
CANADA Anomaly Detection Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Canada for 2022 (E) Market Analytics Table 46: Canada Recent Past, Current & Future Analysis for Anomaly Detection by Component - Solutions and Services - Independent Analysis of Annual Revenues in US$ Million for the Years 2020 through 2027 and % CAGR
Table 47: Canada Historic Review for Anomaly Detection by Component - Solutions and Services Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2015 through 2019 and % CAGR
Table 48: Canada 12-Year Perspective for Anomaly Detection by Component - Percentage Breakdown of Value Revenues for Solutions and Services for the Years 2015, 2021 & 2027
Table 49: Canada Recent Past, Current & Future Analysis for Anomaly Detection by Technology - Big Data Analytics, Data Mining & Business Intelligence and Machine Learning & Artificial Intelligence - Independent Analysis of Annual Revenues in US$ Million for the Years 2020 through 2027 and % CAGR
Table 50: Canada Historic Review for Anomaly Detection by Technology - Big Data Analytics, Data Mining & Business Intelligence and Machine Learning & Artificial Intelligence Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2015 through 2019 and % CAGR
Table 51: Canada 12-Year Perspective for Anomaly Detection by Technology - Percentage Breakdown of Value Revenues for Big Data Analytics, Data Mining & Business Intelligence and Machine Learning & Artificial Intelligence for the Years 2015, 2021 & 2027
Table 52: Canada Recent Past, Current & Future Analysis for Anomaly Detection by End-Use - BFSI, IT & Telecom, Government & Defense, Manufacturing, Healthcare and Other End-Uses - Independent Analysis of Annual Revenues in US$ Million for the Years 2020 through 2027 and % CAGR
Table 53: Canada Historic Review for Anomaly Detection by End-Use - BFSI, IT & Telecom, Government & Defense, Manufacturing, Healthcare and Other End-Uses Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2015 through 2019 and % CAGR
Table 54: Canada 12-Year Perspective for Anomaly Detection by End-Use - Percentage Breakdown of Value Revenues for BFSI, IT & Telecom, Government & Defense, Manufacturing, Healthcare and Other End-Uses for the Years 2015, 2021 & 2027
JAPAN Anomaly Detection Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Japan for 2022 (E) Market Analytics Table 55: Japan Recent Past, Current & Future Analysis for Anomaly Detection by Component - Solutions and Services - Independent Analysis of Annual Revenues in US$ Million for the Years 2020 through 2027 and % CAGR
Table 56: Japan Historic Review for Anomaly Detection by Component - Solutions and Services Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2015 through 2019 and % CAGR
Table 57: Japan 12-Year Perspective for Anomaly Detection by Component - Percentage Breakdown of Value Revenues for Solutions and Services for the Years 2015, 2021 & 2027
Table 58: Japan Recent Past, Current & Future Analysis for Anomaly Detection by Technology - Big Data Analytics, Data Mining & Business Intelligence and Machine Learning & Artificial Intelligence - Independent Analysis of Annual Revenues in US$ Million for the Years 2020 through 2027 and % CAGR
Table 59: Japan Historic Review for Anomaly Detection by Technology - Big Data Analytics, Data Mining & Business Intelligence and Machine Learning & Artificial Intelligence Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2015 through 2019 and % CAGR
Table 60: Japan 12-Year Perspective for Anomaly Detection by Technology - Percentage Breakdown of Value Revenues for Big Data Analytics, Data Mining & Business Intelligence and Machine Learning & Artificial Intelligence for the Years 2015, 2021 & 2027
Table 61: Japan Recent Past, Current & Future Analysis for Anomaly Detection by End-Use - BFSI, IT & Telecom, Government & Defense, Manufacturing, Healthcare and Other End-Uses - Independent Analysis of Annual Revenues in US$ Million for the Years 2020 through 2027 and % CAGR
Table 62: Japan Historic Review for Anomaly Detection by End-Use - BFSI, IT & Telecom, Government & Defense, Manufacturing, Healthcare and Other End-Uses Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2015 through 2019 and % CAGR
Table 63: Japan 12-Year Perspective for Anomaly Detection by End-Use - Percentage Breakdown of Value Revenues for BFSI, IT & Telecom, Government & Defense, Manufacturing, Healthcare and Other End-Uses for the Years 2015, 2021 & 2027
CHINA Table 64: China Recent Past, Current & Future Analysis for Anomaly Detection by Component - Solutions and Services - Independent Analysis of Annual Revenues in US$ Million for the Years 2020 through 2027 and % CAGR
Table 65: China Historic Review for Anomaly Detection by Component - Solutions and Services Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2015 through 2019 and % CAGR
Table 66: China 12-Year Perspective for Anomaly Detection by Component - Percentage Breakdown of Value Revenues for Solutions and Services for the Years 2015, 2021 & 2027
Table 67: China Recent Past, Current & Future Analysis for Anomaly Detection by Technology - Big Data Analytics, Data Mining & Business Intelligence and Machine Learning & Artificial Intelligence - Independent Analysis of Annual Revenues in US$ Million for the Years 2020 through 2027 and % CAGR
Table 68: China Historic Review for Anomaly Detection by Technology - Big Data Analytics, Data Mining & Business Intelligence and Machine Learning & Artificial Intelligence Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2015 through 2019 and % CAGR
Table 69: China 12-Year Perspective for Anomaly Detection by Technology - Percentage Breakdown of Value Revenues for Big Data Analytics, Data Mining & Business Intelligence and Machine Learning & Artificial Intelligence for the Years 2015, 2021 & 2027
Table 70: China Recent Past, Current & Future Analysis for Anomaly Detection by End-Use - BFSI, IT & Telecom, Government & Defense, Manufacturing, Healthcare and Other End-Uses - Independent Analysis of Annual Revenues in US$ Million for the Years 2020 through 2027 and % CAGR
Table 71: China Historic Review for Anomaly Detection by End-Use - BFSI, IT & Telecom, Government & Defense, Manufacturing, Healthcare and Other End-Uses Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2015 through 2019 and % CAGR
Table 72: China 12-Year Perspective for Anomaly Detection by End-Use - Percentage Breakdown of Value Revenues for BFSI, IT & Telecom, Government & Defense, Manufacturing, Healthcare and Other End-Uses for the Years 2015, 2021 & 2027
EUROPE Anomaly Detection Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Europe for 2022 (E) Market Analytics Table 73: Europe Recent Past, Current & Future Analysis for Anomaly Detection by Geographic Region - France, Germany, Italy, UK and Rest of Europe Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2020 through 2027 and % CAGR
Table 74: Europe Historic Review for Anomaly Detection by Geographic Region - France, Germany, Italy, UK and Rest of Europe Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2015 through 2019 and % CAGR
Table 75: Europe 12-Year Perspective for Anomaly Detection by Geographic Region - Percentage Breakdown of Value Revenues for France, Germany, Italy, UK and Rest of Europe Markets for Years 2015, 2021 & 2027
Table 76: Europe Recent Past, Current & Future Analysis for Anomaly Detection by Component - Solutions and Services - Independent Analysis of Annual Revenues in US$ Million for the Years 2020 through 2027 and % CAGR
Table 77: Europe Historic Review for Anomaly Detection by Component - Solutions and Services Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2015 through 2019 and % CAGR
Table 78: Europe 12-Year Perspective for Anomaly Detection by Component - Percentage Breakdown of Value Revenues for Solutions and Services for the Years 2015, 2021 & 2027
Table 79: Europe Recent Past, Current & Future Analysis for Anomaly Detection by Technology - Big Data Analytics, Data Mining & Business Intelligence and Machine Learning & Artificial Intelligence - Independent Analysis of Annual Revenues in US$ Million for the Years 2020 through 2027 and % CAGR
Table 80: Europe Historic Review for Anomaly Detection by Technology - Big Data Analytics, Data Mining & Business Intelligence and Machine Learning & Artificial Intelligence Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2015 through 2019 and % CAGR
Table 81: Europe 12-Year Perspective for Anomaly Detection by Technology - Percentage Breakdown of Value Revenues for Big Data Analytics, Data Mining & Business Intelligence and Machine Learning & Artificial Intelligence for the Years 2015, 2021 & 2027
Table 82: Europe Recent Past, Current & Future Analysis for Anomaly Detection by End-Use - BFSI, IT & Telecom, Government & Defense, Manufacturing, Healthcare and Other End-Uses - Independent Analysis of Annual Revenues in US$ Million for the Years 2020 through 2027 and % CAGR
Table 83: Europe Historic Review for Anomaly Detection by End-Use - BFSI, IT & Telecom, Government & Defense, Manufacturing, Healthcare and Other End-Uses Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2015 through 2019 and % CAGR
Table 84: Europe 12-Year Perspective for Anomaly Detection by End-Use - Percentage Breakdown of Value Revenues for BFSI, IT & Telecom, Government & Defense, Manufacturing, Healthcare and Other End-Uses for the Years 2015, 2021 & 2027
FRANCE Table 85: France Recent Past, Current & Future Analysis for Anomaly Detection by Component - Solutions and Services - Independent Analysis of Annual Revenues in US$ Million for the Years 2020 through 2027 and % CAGR
Table 86: France Historic Review for Anomaly Detection by Component - Solutions and Services Markets - Independent Analysis of Annual Revenues in US$ Million for Years 2015 through 2019 and % CAGR
Table 87: France 12-Year Perspective for Anomaly Detection by Component - Percentage Breakdown of Value Revenues for Solutions and Services for the Years 2015, 2021 & 2027
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Global Anomaly Detection Market to Reach US$8.6 Billion by the Year 2026 - Yahoo Finance
Kriya Therapeutics Scores $270 Million to Support Gene Therapy Pipeline – BioSpace
Kriya Therapeutics secured $270 million in Series C financing that will be used to support the advancement of the companys fully integrated gene therapy pipeline and expand its engineering, manufacturing and computational platforms.
Since the turn of the year, Redwood City, Calif.-based Kriya, which was one of BioSpaces Class of 2021 life sciences startups to watch, has expanded its gene therapy programs through the acquisition of exclusive rights to preclinical assets from Warden Bio, as well as an antibody discovery agreement withTwist Bioscience.
In January of this year, the company forged an exclusive agreement with theMedical University of South Carolina Foundation for Research Development to license next-generation complement-targeted gene therapies for the treatment of geographic atrophy, also known as atrophic age-related macular degeneration, and other ocular diseases.
The company also scaled its machine learning-enabled technology and cloud computing architecture, dubbed Sirve. The scaling was critical in order to support the integration of large datasets generated by the companys high throughput screening, next-generation sequencing, and algorithmic data mining platforms, Kriya said.
In addition to the expansion of its pipeline and technology platform, Kriya also opened the doors to its new scalable GMP manufacturing space in North Carolina that will bolster the manufacturing of its gene therapies for oncology, diabetes, severe obesity, ophthalmology and other indications.
Shankar Ramaswamy, co-founder and CEO of Kriya, said the company was founded on the vision of addressing some of the issues related to the earliest generations of gene therapies. The Series C financing will support the companys continued growth as it pushes into the clinic and scales its platform.
We believe gene therapy has the potential to redefine medicine over the next decade. However, the field has been constrained by technological and operational challenges that make it difficult and expensive to deliver new products, Ramaswamy said in a statement. He added that the financing will allow the company to achieve our ultimate vision of expanding the reach and unlocking the full potential of gene therapy as a modality.
The Series C financing was led by Patient Square Capital. The $270 million round was supported by Bluebird Ventures, CAM Capital, Dexcel Pharma, Foresite Capital, JDRF T1D Fund, Lightswitch Capital, Narya Capital, QVT, Transhuman Capital, as well as other undisclosed investors.
Jim Momatazee, the managing partner of Patient Square Capital and a member of the Kriya Board of Directors, said the company has made tremendous strides over the past few years. In addition to the partnerships the company forged, Kriya has also tapped world-class talent and scaled its infrastructure to unlock the full potential of gene therapy, he said.
We believe the company has the potential to be the clear leader in the evolving gene therapy field, consistent with Patient Square Capitals focus to build and support category leading companies in health care, Momatazee said in a statement.
For Kriya, the latest financing is more than double the amount it raised less than one year ago. In July 2021, the company raised $100 million in a Series B financing round, which built on the $80.5 million it raised the previous year in a Series A financing round.
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Kriya Therapeutics Scores $270 Million to Support Gene Therapy Pipeline - BioSpace
High-performance Computing (HPC) Market worth $49.9 billion by 2027 – Exclusive Report by MarketsandMarkets – PR Newswire
CHICAGO, May 16, 2022 /PRNewswire/ --According to a research report "High-performance Computing (HPC) Market with COVID-19 Impact Analysis, by Component, Computation Type (Parallel Computing, Distributed computing and Exascale Computing), Industry, Deployment, Server Price Band, Verticals & Region - Global Forecast to 2027", published by MarketsandMarkets,the High performance computing (HPC) market is expected to grow from USD 36.0 billion in 2022 to USD 49.9 billion by 2027, at a CAGR of 6.7%. The market growth can be attributed to several factors, such as increasing demand for high performance computing in Banking, financial services and insurance (BFSI) applications.
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Services segment of high performance computing to grow with the highest CAGR during the forecast period
HPC services are required to be highly customized to be free from product design overheads. HPC services help employees within an organization to meet their ultimate objective of improved operability and energy and resource utilization. The growing complexities in the installation and deployment of HPC systems are expected to boost the demand for HPC services. HPC services are only available for deployment via the cloud. HPC systems can be hosted over managed cloud services such as AWS (Amazon Web Services) and Microsoft Azure. By making use of HPC over the managed cloud, organizations can tap into the power of these HPC systems without requiring to set up HPC systems manually. The use of HPC hosted over the cloud follows a pay-as-you-go pricing model.
Parallel computing to hold the largest share of the market during the forecast period
In parallel computing, multiple processing elements run simultaneously to solve complex problems. These problems are divided into smaller problems, and a dedicated computing resource is assigned to solve them. Parallel computing has gained popularity across various applications in the industrial sector. The use of other computing techniques has physical constraints that prevent frequency scaling, thereby reducing the system's capability of operating at optimal computational speeds. Parallel computing has become the dominant standard in computer architecture, as it is being increasingly used in modern multi-core processors due to its less power consumption and heat generation features in data processing.
Browsein-depth TOC on"High-performance Computing (HPC) Market130 Tables 54 Figures 206 Pages
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North America for High performance computing is expected to witness the highest growth during the forecast period.
North America is expected to hold the largest market share (~44%) during the forecast period as it is a technologically advanced region and has a significant presence of major market players. Moreover, the region has the largest presence of cloud service providers and is witnessing an increase in the investments in the technological development of existing infrastructures, which is fueling the deployment rate of HPC systems. The region is also experiencing a high demand for compute and on-demand access to process and analyze data. Thus, the market for HPC server solutions is expected to hold a major share of the regional market during the forecast period. The top countries contributing to the growth of the HPC market in North America include the US and Canada. Many major IT companies are based in the US and have invested heavily in setting up high-capacity storage and high-speed data analysis facilities that handle and analyze complex global data.
Some of the key companies operating in the market are Advanced Micro Devices (US), Intel (US), HPE (US), IBM (US), Dell (US), Lenovo (China), Fujitsu (Japan), Atos (France), CISCO (US), Nvidia (Japan), NEC Corporation (Japan) and so on.
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Quantum Computing Market by Offering (Systems and Services), Deployment (On Premises and Cloud Based), Application, Technology, End-use Industry and Region (2021-2026)
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Mawson Infrastructure Group Announces Financial Results for First Quarter 2022 – Business Wire
SYDNEY & NEW YORK--(BUSINESS WIRE)--Mawson Infrastructure Group Inc. (NASDAQ:MIGI) (Mawson), a digital infrastructure provider, is pleased to announce business highlights and financial results for the first quarter of 2022.
Q1 2022 Financial and Business Highlights
Subsequent to Quarter End
2022 Strategic Focus
James Manning, CEO and Founder of Mawson Infrastructure, said, "Q1 2021 was a solid operational quarter for our business. We significantly increased our Bitcoin self-mining operational footprint, producing 459 Bitcoin in Q1, delivered Q1 revenue of $19.4 million, up 178% vs Q1 2021, delivered Q1 gross profit of $11.0 million, up 138% vs Q1 2021, and posted Q1 non-GAAP EBITDA of $4.5 million, up 160% vs Q1 2021. Our hosting co-location business accelerated in Q1 - we signed new 100-megawatt hosting co-location customer Celsius Mining LLC, as well as new 12-megawatt hosting co-location customer Foundry Digital LLC. In very exciting news, we gained approval to expand our Georgia Bitcoin Mining facility to 230-megawatts, which is capable of accommodating up to 7.5 Exahash. The pipeline of strong demand for our hosting co-location business which adds an additional revenue stream for the group continues to expand, and we look forward to updating stockholders on this front in due course.
Conference Call Details:
The company has scheduled a webcast for May 16, 2022 at 5:00 p.m. Eastern Time, to discuss results for the first quarter of 2022.
A new Investor Presentation will be available on the website at http://www.mawsoninc.com prior to the call.
Conference Call Information:
Date: Monday, May 16, 2022Time: 5:00 p.m. Eastern TimeDial in Number for U.S. Callers: 1-877-407-4018Dial in Number for International Callers: 1-201-689-8471Please Reference Conference ID: 13729849
The call will also be accompanied live by webcast and will be accessible at:https://viavid.webcasts.com/starthere.jsp?ei=1548153&tp_key=96463d1f1a
To join the live conference call, please dial in to the above referenced telephone numbers five to ten minutes prior to the scheduled conference call time.
A replay will be available starting on May 16, 2022 at approximately 8:00 p.m. ET through May 30, 2022 at 11:59 P.M. ET. To access the replay, please dial 1-844-512-2921 in the U.S. and 1-412-317-6671 for international callers. The conference ID# is 13729849.
About Mawson Infrastructure
Mawson Infrastructure Group (NASDAQ: MIGI) is a digital infrastructure provider, with multiple operations throughout the USA and Australia. Mawsons vertically integrated model is based on a long-term strategy to promote the global transition to the new digital economy. Mawson matches sustainable energy infrastructure with next-generation mobile data centre (MDC) solutions, enabling low-cost Bitcoin production and on-demand deployment of infrastructure assets. With a strong focus on shareholder returns and an aligned board and management, Mawson Infrastructure Group is emerging as a global leader in ESG focused Bitcoin mining and digital infrastructure.
For more information, visit: http://www.mawsoninc.com
CAUTIONARY NOTE REGARDING FORWARD-LOOKING STATEMENTS
Mawson cautions that statements in this press release that are not a description of historical fact are forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995. Forward-looking statements may be identified by the use of words referencing future events or circumstances such as expect, intend, plan, anticipate, believe, and will, among others. Because such statements are subject to risks and uncertainties, actual results may differ materially from those expressed or implied by such forward-looking statements. These forward-looking statements are based upon Mawsons current expectations and involve assumptions that may never materialize or may prove to be incorrect. Actual results and the timing of events could differ materially from those anticipated in such forward-looking statements as a result of various risks and uncertainties, which include, without limitation, the possibility that Mawsons need and ability to raise additional capital, the development and acceptance of digital asset networks and digital assets and their protocols and software, the reduction in incentives to mine digital assets over time, the costs associated with digital asset mining, the volatility in the value and prices of cryptocurrencies and further or new regulation of digital assets. More detailed information about the risks and uncertainties affecting Mawson is contained under the heading Risk Factors included in Mawsons Annual Report on Form 10-K filed with the SEC on March 21, 2022 and Mawsons Quarterly Report on Form 10-Q filed with the SEC on May 16, 2022, and in other filings Mawson has made and may make with the SEC in the future. One should not place undue reliance on these forward-looking statements, which speak only as of the date on which they were made. Because such statements are subject to risks and uncertainties, actual results may differ materially from those expressed or implied by such forward-looking statements. Mawson undertakes no obligation to update such statements to reflect events that occur or circumstances that exist after the date on which they were made, except as may be required by law.
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Mawson Infrastructure Group Announces Financial Results for First Quarter 2022 - Business Wire
CAREER Award: Teaching machines the art of human decision-making – EurekAlert
image:Jundong Li, University of Virginia assistant professor of electrical and computer engineering, computer science and data science, earned a National Science Foundation CAREER program award, one of the NSFs most prestigious awards for early-career faculty. The award recognizes Li's potential for leadership in research and education and his expertise in data mining, machine learning, and artificial intelligence. view more
Credit: Tom Cogill
Children attend pre-school and kindergarten to develop the skills they need to thrive. They practice sharing and making friends. They learn to use words and numbers. They gain confidence through movement and self-control. Teachers have an array of techniques to help children develop these skills.
But how should they help students who struggle? Theres no shortage of opinions from educators, parents and policy-makers about effective ways to teach children, based on observations of what happens in classrooms and childrens behavior in and out of school. These observations may be missing something important, however - factors that are unseen, unrecognized or unreported but are powerful influences on a students performance.
Jundong Li, University of Virginia assistant professor of electrical and computer engineering, computer science and data science, is conducting research that could help teachers and administrators more accurately determine which learning methods are best for their youngest pupils.
Li has earned a prestigious National Science Foundation CAREER award to better understand cause and effect in human decision-making in the era of big data. Li will use his $600,000 five-year award to develop a suite of sophisticated algorithms and mathematical models, informed by human experience and intuition, to find cause-and-effect relationships in a huge amount of data. His work has the potential for broad applications in public health and medicine in addition to education.
The CAREER program, one of the NSFs most prestigious awards for early-career faculty, recognizes the recipients potential for leadership in research and education. Lis award recognizes his expertise in data mining, machine learning, and artificial intelligence, which are part of a research strength area for the Charles L. Brown Department of Electrical and Computer Engineering within UVAs School of Engineering and Applied Science.
The basic problem here is that machine learning and data mining alone are often insufficient to make decisions for humans, Li said. Typically, given a large amount of data, machine learning models can find correlations and then use those correlations to make inferences and predict outcomes.
Because machines cannot really understand human needs, expectations and behaviors, their predictions and recommendations may be based on spurious correlations.
We all know that correlation does not necessarily imply causation, Li said. In order to make a decision, typically we need to have a better understanding of what is cause and what is outcome. We want to find causal relations between variables at play. This means creating what Li calls a causal inference model, which quantifies the strength of cause-and-effect relationships between different variables and uses the strongest to make a decision.
Nowadays, research to make machine learning algorithms and models better at reasoning is largely data-driven, Li said. For my CAREER award project, I want to incorporate prior human knowledge into these algorithms, to give the model the benefit of human wisdom as it processes data and interprets decision-making scenarios.
Li has had preliminary success in his proposed approach, working in the public health arena supported by a RAPID grant from the UVAs Global Infectious Diseases Institute. Li collaborated with Daniel Mietchen, formerly with UVAs School of Data Science and now a researcher at the Fraunhofer Institute for Biomedical Engineering in Germany, to assess the impact of COVID-19 related policies on outbreaks. Three members of Lis research group assisted with the study.
The teams model shows how COVID-19 policies such as social distancing affected outbreaks at the county level, taking into account peoples vigilance over the virus over time.
A county government may issue policies to enforce social distancing at an early stage of the pandemic, but if residents in the county tend to be more alert to COVID-19, they likely would have a lower probability of infection. In this case, vigilance is a confounding variable, influencing both the treatment, or the policy of social distancing, and the outcome, or the number of individuals who get sick.
Publicly available information online provided an important resource. For example, the team used the popularity of Google searches about COVID-19 at different time periods as a measure of residents vigilance. Using this indicator and others, the team developed a framework that captures information from different time periods and handles information among counties to estimate how various policies affected COVID-19 outbreaks. The framework shows the cause and effect of policies at different degrees of specificity, from a category of policies with a certain goal, to a single policy.
The team members presented the results of their study in a research paper, Assessing the Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in the US, published in the proceedings of the Association for Computing Machinerys Web Conference 2022 in April.
Our web conference paper captures outbreak dynamics more accurately than statistical methods alone, Li said. Additionally, our assessment of policies is more consistent with existing epidemiological studies of COVID-19. This suggests that public health officials can use our framework when randomized controlled trials, the gold standard of cause-and-effect estimation, are not feasible.
Lis next step involves collaboration with individuals who are knowledgeable about the application areas, such as medical doctors, public health officials and experts in learning and development. He will also identify publicly available data in the areas of health and education that he can mine to further test and develop his decision-making framework.
Ultimately, Li envisions developing sophisticated algorithms that will pinpoint cause and effect, so physicians can use them to customize treatments based on patient information, and decision-makers can plug the algorithms into their own data systems to deliver policies that improve their constituents health, economic well-being and quality of life.
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CAREER Award: Teaching machines the art of human decision-making - EurekAlert