Category Archives: Data Mining
Lifesciences Data Mining and Visualization Market: Global Industry Analysis and Opportunity Assessment 2016-2026, Tableau Software,SAP SE,IBM,SAS…
Market Overview
Global Lifesciences Data Mining and Visualization market 2020 research report provides detailed information regarding market size, trends, share, growth, structure, capacity, cost, revenue, and forecast 2026. This report also entails the overall and comprehensive study of the Lifesciences Data Mining and Visualization market with various aspects influencing the growth of the market.
Starting from the basic overview of the industry including applications, classifications, and structure, the research report provides the detailed Lifesciences Data Mining and Visualization market analysis for the international markets including development trends, key regions growth status, and competitive landscape analysis. Further, the report also discusses the development policies and plans along with analysis of manufacturing processes and cost structures. This report also states supply and demand numbers, cost, import/export consumption, revenue, and gross margins.
Overall, the report offers a snapshot of key competition, expected growth rates, market trends with forecast over the next 5 years, and the key factors driving and impacting the growth of Lifesciences Data Mining and Visualization. Market data and analytics used in this report are derived from a combination of primary and secondary sources.
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At present, the Lifesciences Data Mining and Visualization market has seen a growth of x% from 2020 to 2026. But due to the rise in demand and the popularity of Lifesciences Data Mining and Visualization market, the compound growth rate is expected to rise considerably in the years to come. A recent study conducted on Lifesciences Data Mining and Visualization market shows why the market has been growing and what are the factors affecting its growth over the years.
Major Companies Included in Research Report are- Tableau Software,SAP SE,IBM,SAS Institute,Microsoft,Oracle,TIBCO Software,Information Builders,Dundas Data Visualization,Pentaho,InetSoft Technology,MicroStrategy
Market Segmentation
For the purpose of the study, the Lifesciences Data Mining and Visualization market was segmented into type, application, end user, and region. The segmentation helped to understand how the Lifesciences Data Mining and Visualization market penetration into the global market can be improved. The study conducted on these segments provided various inputs that were implemented to ensure that the Lifesciences Data Mining and Visualization market had every opportunity to grow in the global market. There were several constraints that needed to be resolved for market penetration which ideally were looked into before the Lifesciences Data Mining and Visualization market went global.
Regional Analysis
The various segments helped in thorough understanding on how the Lifesciences Data Mining and Visualization market can be improved, where it needs improvement. But to clearly understand the global market, we segmented the market regionally. Regional segmentation was necessary to ensure that market penetration is a success. For the purpose of the study, the market was segmented into China, India, Australia, Philippines, and Malaysia in Asia Pacific; Germany, UK, France, and others in Europe; United States, and Canada in North America; Brazil and others in South America, Middle East and Africa. The global market is dominated by Asia-Pacific due to its origin. Rise in income of the population and growing interest of the people are reasons for the boost in demand in other regions.
Drivers and Risks
The Lifesciences Data Mining and Visualization market has penetrated the global market recently. Though there is an increase in demand for the products and services, limited resource is considered a major threat. As per the study, there is a steady demand for Lifesciences Data Mining and Visualization market, but the supply is limited due to limited available resources. There is a need for investment in the manufacturing sector so that the demand in the global market is fulfilled.
Research Methodology
We made use of SWOT analysis in our study. The need to understand the Lifesciences Data Mining and Visualization market, its strengths, weaknesses, global opportunities and threats were vital. The study was conducted after Lifesciences Data Mining and Visualization market penetrated globally. The study was initiated to understand whether Lifesciences Data Mining and Visualization market was a global market, and whether there will be increase in demand in the coming years. SWOT analysis helped understand where and how Lifesciences Data Mining and Visualization market needed improvement following which it would see potential growth in 2026.
The objectives of the report are:
To analyze and forecast the market size of Lifesciences Data Mining and Visualization Industry in the global market.
To study the global key players, SWOT analysis, value and global market share for leading players.
To determine, explain and forecast the market different attributes of the products or services. This information would help the companies to understand the prominent trends that are emerging in the market and would also provide a wider by type, end use, and region.
To analyze the market potential and advantage, opportunity and challenge, restraints and risks of global key regions.
To find out significant trends and factors driving or restraining the market growth.
To analyze the opportunities in the market for stakeholders by identifying the high growth segments.
To critically analyze each submarket in terms of individual growth trend and their contribution to the market.
To understand competitive developments such as agreements, expansions, new product launches, and possessions in the market.
To strategically outline the key players and comprehensively analyze their growth strategies.
Key questions answered in the report:
What is the growth potential of the Lifesciences Data Mining and Visualization market?
Which product segment will grab a lions share?
Which regional market will emerge as a frontrunner in the coming years?
Which application segment will grow at a robust rate?
What are the growth opportunities that may emerge in the Lifesciences Data Mining and Visualization industry in the years to come?
What are the key challenges that the global Lifesciences Data Mining and Visualization market may face in the future?
Which are the leading companies in the global Lifesciences Data Mining and Visualization market?
Which are the key trends positively impacting the market growth?
Which are the growth strategies considered by the players to sustain hold in the global Lifesciences Data Mining and Visualization market
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Table of Contents
Chapter 1: Global Lifesciences Data Mining and Visualization Market Overview
Chapter 2: Lifesciences Data Mining and Visualization Market Data Analysis
Chapter 3: Lifesciences Data Mining and Visualization Technical Data Analysis
Chapter 4: Lifesciences Data Mining and Visualization Government Policy and News
Chapter 5: Global Lifesciences Data Mining and Visualization Market Manufacturing Process and Cost Structure
Chapter 6: Lifesciences Data Mining and Visualization Productions Supply Sales Demand Market Status and Forecast
Chapter 7: Lifesciences Data Mining and Visualization Key Manufacturers
Chapter 8: Up and Down Stream Industry Analysis
Chapter 9: Marketing Strategy Lifesciences Data Mining and Visualization Analysis
Chapter 10: Lifesciences Data Mining and Visualization Development Trend Analysis
Chapter 11: Global Lifesciences Data Mining and Visualization Market New Project Investment Feasibility Analysis
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Gordon Bell Prize Winner Breaks Ground in AI-Infused Ab Initio Simulation – HPCwire
The race to blend deep learning and first-principle simulation to speed up solutions and scale up problems tackled is one of the most exciting research areas in computational science today. This years ACM Gordon Bell Prize winner announced today at SC20 makes significant progress in that direction.
The work by a team of researchers from China and the U.S. Pushing the limit of molecular dynamics with ab initio accuracy to 100 million atoms with machine learning used a machine learning protocol while retaining rigorousab initio accuracy. The authors and their affiliations are listed at the end of the article. Heres an excerpt from their paper:
We report that a machine learning-based simulation protocol (Deep Potential Molecular Dynamics), while retaining ab initio accuracy, can simulate more than 1 nanosecond-long trajectory of over 100 million atoms per day, using a highly optimized code (GPU DeePMD-kit) on the Summit supercomputer. Our code can efficiently scale up to the entire Summit supercomputer, attaining 91 PFLOPS in double precision (45.5% of the peak) and 162/275 PFLOPS in mixed-single/half precision.
The great accomplishment of this work is that it opens the door to simulating unprecedented size and time scales with ab initio accuracy. It also poses new challenges to the next-generation supercomputer for a better integration of machine learning and physical modeling, they write.
Not only is the work impressive on its own, but it has implication for the forthcoming of exascale machines. The optimization strategy presented in this paper can also be applied to other many-core architectures. For example, it can be easily converted to the Heterogeneous-compute Interface for Portability (HIP) programming model to run on the next exascale supercomputer Frontier, which will be based on AMD GPUs, wrote the researchers[i].
Frontier (at OLCF) is now expected to the first U.S. exascale system brought online.
In presenting the award, Bronis R. de Supinski, chair of the 2020 Gordon Bell Award committee and CTO of Lawrence Livermore National Laboratory, praised the innovative approach and said The work achieved outstanding levels of performance on the summit supercomputer at Oak Ridge National Laboratory, in addition to showing that the overall approach significantly lowers time to solution for computationally demanding problems.
It is best to read their paper directly. Heres what the researchers say about their key contributions:
To effectively harness the computing power offered by the heterogeneous system architecture of Summit, our goal is to migrate to GPUs almost all computational tasks and a significant amount of communication tasks. Due to the relatively limited size of the computational granularity in the DP model, a straightforward GPU implementation encounters many bottlenecks and is thus not efficient. As such, our main algorithmic innovations are the following:
This year there were six finalists for the Gordon Bell Prize each impressive in its own right. One review a successful simulation Square Kilometer Array project to simulate its data processing workflow on Summit. The data flow for SKA will be immense. Another looked at accelerating graph-based datamining (also on Summit) with an eye towards scanning of bio-research literature and a third GBP finalist ran high-resolution weather simulations on Fugaku.
Here are summaries of the other five with links to their papers:
A 1024-member ensemble data assimilation with 3.5-km mesh global weather simulations
Numerical weather prediction (NWP) supports our daily lives. Weather models require higher spatiotemporal resolutions to prepare for extreme weather disasters and reduce the uncertainty of predictions. The accuracy of the initial state of the weather simulation is also critical; thus, we need more advanced data assimilation (DA) technology. By combining resolution and ensemble size, we have achieved the worlds largest weather DA experiment using a global cloud-resolving model and an ensemble Kalman filter method. The number of grid points was ~4.4 trillion, and 1.3 PiB of data was passed from the model simulation part to the DA part. We adopted a data-centric application design and approximate computing to speed up the overall system of DA. Our DA system, named NICAM-LETKF, scales to 131,072 nodes (6,291,456 cores) of the supercomputer Fugaku with a sustained performance of 29 PFLOPS and 79 PFLOPS for the simulation and DA parts, respectively. (link to paper)
Processing full-scale square kilometre array data on the summit supercomputer
This work presents a workflow for simulating and processing the full-scale low-frequency telescope data of the Square Kilometre Array (SKA) Phase 1. The SKA project will enter the construction phase soon, and once completed, it will be the worlds largest radio telescope and one of the worlds largest data generators. The authors used Summit to mimic an end-to-end SKA workflow, simulating a dataset of a typical 6 hour observation and then processing that dataset with an imaging pipeline. This workflow was deployed and run on 4,560 compute nodes, and used 27,360 GPUs to generate 2.6 PB of data. This was the first time that radio astronomical data were processed at this scale. Results show that the workflow has the capability to process one of the key SKA science cases, an Epoch of Reionization observation. This analysis also helps reveal critical design factors for the next-generation radio telescopes and the required dedicated processing facilities. (link to paper)
Toward realization of numerical towing-tank tests by wall-resolved large eddy simulation based on 32 billion grid finite-element computation
To realize numerical towing-tank tests by substantially shortening the time to the solution, a general-purpose Finite-Element flow solver, named FrontFlow/blue (FFB), has been fully optimized so as to achieve maximum possible sustained memory throughputs with three of its four hot kernels. A single-node sustained performance of 179.0 GFLOPS, which corresponds to 5.3% of the peak performance, has been achieved on Fugaku, the next flagship computer of Japan. A weak-scale benchmark test has confirmed that FFB runs with a parallel efficiency of over 85% up to 5,505,024 compute cores, and an overall sustained performance of 16.7 PFLOPS has been achieved. As a result, the time needed for large-eddy simulation using 32 billion grids has been significantly reduced from almost two days to only 37 min., or by a factor of 71. This has clearly indicated that a numerical towing-tank could actually be built for ship hydrodynamics within a few years. (link to paper)
Accelerating large-scale excited-state GW calculations on leadership HPC systems
Large-scale GW calculations are the state-of-the-art approach to accurately describe many-body excited-state phenomena in complex materials. This is critical for novel device design but due to their extremely high computational cost, these calculations often run at a limited scale. In this paper, we present algorithm and implementation advancements made in the materials science code BerkeleyGW to scale calculations to the order of over 10,000 electrons utilizing the entire Summit at OLCF. Excellent strong and weak scaling is observed, and a 105.9 PFLOP/s double-precision performance is achieved on 27,648 V100 GPUs, reaching 52.7% of the peak. This work for the first time demonstrates the possibility to perform GW calculations at such scale within minutes on current HPC systems, and leads the way for future efficient HPC software development in materials, physical, chemical, and engineering sciences. (link to paper)
Scalable knowledge graph analytics at 136 petaflop/s
We are motivated by newly proposed methods for data mining large-scale corpora of scholarly publications, such as the full biomedical literature, which may consist of tens of millions of papers spanning decades of research. In this setting, analysts seek to discover how concepts relate to one another. They construct graph representations from annotated text databases and then formulate the relationship-mining problem as one of computing all-pairs shortest paths (APSP), which becomes a significant bottleneck. In this context, we present a new high-performance algorithm and implementation of the Floyd-Warshall algorithm for distributed-memory parallel computers accelerated by GPUs, which we call dSnapshot (Distributed Accelerated Semiring All-Pairs Shortest Path). For our largest experiments, we ran dSnapshot on a connected input graph with millions of vertices using 4,096 nodes (24,576 GPUs) of the Oak Ridge National Laboratorys Summit supercomputer system. We find dSnapshot achieves a sustained performance of 1361015floating-point operations per second (136 petaflop/s) at a parallel efficiency of 90% under weak scaling and, in absolute speed, 70% of the best possible performance given our computation (in the single-precision tropical semiring or min-plus algebra). Looking forward, we believe this novel capability will enable the mining of scholarly knowledge corpora when embedded and integrated into artificial intelligence-driven natural language processing workflows at scale. (link to paper)
[i] Authors for Pushing the limit of molecular dynamics with ab initio accuracy to 100 million atoms with machine learning: Weile Jia (UC Berkeley), Han Wang (Institute of Applied Physics and Computational Mathematics, Beijing), Mohan Chen (College of Engineering, Peking University), Denghui Lu (College of Engineering, Peking University), Lin Lin (UC Berkeley), Roberto Car (Princeton University), Weinan E (Princeton University), Linfeng Zhang (Princeton University)
Dont forget to check ourcoverage of the winners and finalistsfor the2020 Gordon Bell Special Prize for High Performance Computing-Based COVID-19 Research.
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Gordon Bell Prize Winner Breaks Ground in AI-Infused Ab Initio Simulation - HPCwire
EHR market expected to grow 6% per year through 2025 – Healthcare IT News
A new report released this week predicted that the electronic health record market would grow at a compound annual growth rate of 6% over the next five years.
The report, from Research and Markets, noted the roles of chronic diseases, government funding and patient engagement as likely contributing factors to the increase.
"The increasing adoption of software solutions such as data mining, clinical decision support systems and clinical trial management systems will propel the demand for EHR systems," wrote report authors.
WHY IT MATTERS
Unsurprisingly, the report named EHR heavy-hitters Allscripts, athenahealth, Cerner, eClinicalWorks and Epic Systems as the major vendors, specifically noting Epic as amassing a greater share of the U.S. hospital market in 2019.
That year, noted authors, the hospital segment was the largest end-user segment andnearly 90% of the country's hospitals using EHR systems in 2018.
The report pointed to clinical EHR applications as a major segment of the market, noting that using EHRs as a source of data in clinical investigations could involve additional considerations, planning and management.
"The demand for complete, up-to-date, and accurate medical records drives the adoption of EHR in the clinical segment," researchers said.
Authors predicted that the cloud-based segment will be particularly viable, noting the lower cost when compared to on-premise products. (Cloud-based EHRs can also be remotely installed helpful amidthe COVID-19 pandemic.)
THE LARGER TREND
More than a decade after the HITECH Act including the meaningful use incentive program, and its more recent overhauls it's perhaps not especially surprising that the EHR market has exploded.
But pitfalls remain. Namely, clinicians perennially cite EHRs' usability (or lack thereof) as a leading cause for burnout, leading to all kinds of proposed solutions.
"Too many physicians have experienced the demoralizing effects of cumbersome EHRs that interfere with providing first-rate medical care to patients," said the American Medical Association in 2019 with regard to a Mayo Clinic study on burnout.
ON THE RECORD
"An increase in the prevalence of acute and chronic diseases, including several heart diseases, diabetes, cancer, [pandemics] such as COVID-19, [and] high awareness regarding the benefits of electronic healthcare records are likely to fuel the growth of the market in the U.S.," wrote report authors.
Kat Jercich is senior editor of Healthcare IT News.Twitter: @kjercichEmail: kjercich@himss.orgHealthcare IT News is a HIMSS Media publication.
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EHR market expected to grow 6% per year through 2025 - Healthcare IT News
Global Wireless Charger Market 2026 Trends Forecast Analysis by Manufacturers, Regions, Type and Application – The Daily Philadelphian
The Wireless Charger market research report providesan in-depth analysis of parent market trends, macro-economic indicators, and governing factors, along with market attractiveness as per segment. The report also maps the qualitative impact of various market factors on market segments and geographies.Wireless Charger Market Research Report is a Professional and In-Depth Study on the Existing State of Wireless Charger Industry.
This Report Focuses on the Wireless Charger Definition, Scope, Market Forecast Estimation & Approach, Insights and Growth Relevancy Mapping, Data mining & efficiency, Strategic Analysis, Competition Outlook, Covid19 aftermath Analyst view, Market Dynamics (DROC, PEST Analysis), Market Impacting Trends, Market News & many more. It also Provides Granular Analysis of Market Share, Segmentation, Revenue Forecasts and Regional Analysis till 2026.
Further, Wireless Charger Market report also covers the development policies and plans, manufacturing processes and cost structures, marketing strategies followed by top players, distributors analysis, marketing channels, potential buyers and Wireless Charger development history. This report also states import/export, supply, and consumption figures as well as cost, price, revenue and gross margin by regions.
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The Wireless Charger market report covers major market players like
Wireless Charger Market is segmented as below:
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Breakup by Application:
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Impact of COVID-19 on Wireless Charger Market
The report also contains the effect of the ongoing worldwide pandemic, i.e., COVID-19, on the Wireless Charger Market and what the future holds for it. It offers an analysis of the impacts of the epidemic on the international Market. The epidemic has immediately interrupted the requirement and supply series. The Wireless Charger Market report also assesses the economic effect on firms and monetary markets. Futuristic Reports has accumulated advice from several delegates of this business and has engaged from the secondary and primary research to extend the customers with strategies and data to combat industry struggles throughout and after the COVID-19 pandemic.
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Wireless Charger Market Report Provides Comprehensive Analysis as Following:
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Peloton Collaborates with Sfile Technology | Texas | tylerpaper.com – Tyler Morning Telegraph
HOUSTON, Nov. 19, 2020 /PRNewswire/ --Peloton is pleased to announce that our Well Data Lifecycle Team is now collaborating with Sfile, a cognitive computing company.
The opportunity to align Sfile's technology with Peloton's Platform solutions, will enhance our clients' ability to access and analyze their operational data, improve decision making and optimize opportunities.
Sfileuses cognitive computing and machine learning to train bots and AI agents that autonomously mine unstructured data to accelerate and exchange advanced analytics. With Sfile, Peloton's Well Data Lifecycle Team realizes the opportunity to apply new approaches to two old challenges. First, how to best transform disparate unstructured data sets into structured and consistently coded information. Second, the application of data science techniques to the analysis of the data. The solution is to leverage Sfile's tools to mine the data, load it into our data platforms and apply advanced analytics to the data.
Fiona Hamilton, Vice President - Well Data Lifecycle Solution for Peloton, says, "Here is an opportunity to apply ML/AI to data loading and analytics for our products. A big win for our clients! A strategy to find, import and in some cases create the data to support their desired analysis."
About Peloton
The Peloton Platform energizes the oil and gas digital transformation through mobility, automation and data integration by providing fully integrated well data lifecycle, production data lifecycle and land data management solutions. Today, over 600 oil and gas clients worldwide rely on Peloton technology to equip their stakeholders with the tools and information necessary to manage, simplify and optimize their operations. For more information about Peloton, visit http://www.peloton.com.
About Sfile
Sfile is a Cognitive Computing company and provider of Artificial Intelligence and Machine Learning solutions to synthesize vast amounts of raw unstructured, unnormalized, "dark data" into continuous flows of qualitative normalized understanding and features. Sfile's AI and ML driven solutions transform fragmented information into qualitative datasets by data-mining all your well records (internal and external) using its machine learned clustering engines and artificial intelligence-driven bots to extract, normalize, and validate information from any form of disparate data.
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Peloton Collaborates with Sfile Technology | Texas | tylerpaper.com - Tyler Morning Telegraph
Cybercrime To Cost The World $10.5 Trillion Annually By 2025 – GlobeNewswire
PLANO, Texas, Nov. 18, 2020 (GLOBE NEWSWIRE) -- Cybersecurity Venturespredicts global cybercrime costs will grow by 15 percent per year over the next five years, reaching $10.5 trillion USD annually by 2025, up from $3 trillion USD in 2015. This prediction is part of a special report conducted by Cybersecurity Ventures and sponsored by INTRUSION, Inc. (NASDAQ: INTZ).
This represents the greatest transfer of economic wealth in history, risks the incentives for innovation and investment, is exponentially larger than the damage inflicted from natural disasters in a year, and will be more profitable than the global trade of all major illegal drugs combined.
"Cybercrime costs include damage and destruction of data, stolen money, lost productivity, theft of intellectual property, theft of personal and financial data, embezzlement, fraud, post-attack disruption to the normal course of business, forensic investigation, restoration and deletion of hacked data and systems, and reputational harm," says Steve Morgan, founder of Cybersecurity Ventures and editor-in-chief at Cybercrime Magazine.
"Cybercriminals know they can hold businesses and our economy hostage through breaches, ransomware, denial of service attacks and more. This is cyberwarfare, and we need to shift our mindset around cybersecurity in order to protect against it," says Jack B. Blount, President and CEO at INTRUSION, Inc.
Organized cybercrime entities are joining forces, and their likelihood of detection and prosecution is estimated to be as low as 0.05 percentin the U.S., according to the World Economic Forum's 2020 Global Risk Report.
"Every American organization in the public and private sector has been or will be hacked, is infected with malware, and is a target of hostile nation-state cyber intruders," adds Blount, who is also the former CIO at the United States Department of Agriculture (USDA).
Blount's assertion is backed up by some of the nation's top cyberwarfare and cybersecurity experts, and Fortune 500 chief information security officers, in a roundtable discussionwhich recently aired on the Cybercrime Radio podcast channel.
Cybersecurity Ventures and INTRUSION, Inc. have partnered on a series of initiatives aimed at providing thought leadership and guidance to CISOs and cybersecurity teams in the U.S. and globally.
About
Cybersecurity Venturesis the world's leading researcher and publisher covering the global cyber economy, and a trusted source for cybersecurity facts, figures, predictions, and statistics.
INTRUSION, Inc.is a global provider of entity identification, high speed data mining, cybercrime and advanced persistent threat detection products.
Related Linkshttps://cybersecurityventures.comhttps:/intrusion.com
Cautionary Statement Regarding Forward Looking Information
This release may contain certain forward-looking statements, which reflect management's expectations regarding future events and operating performance and speak only as of the date hereof. These forward- looking statements involve a number of risks and uncertainties. These statements are made under the "safe harbor" provisions of the Private Securities Litigation Reform Act of 1995 and involve risks and uncertainties which could cause actual results to differ materially from those in the forward-looking statements, including, risks that we have detailed in the Company's most recent reports on Form 10-K and Form 10-Q, particularly under the heading Risk Factors.
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Cybercrime To Cost The World $10.5 Trillion Annually By 2025 - GlobeNewswire
Global Trend Expected to Guide Data Center Colocation Market from 2020-2026: Growth Analysis by Manufacturers, Regions, Type and Application – PRnews…
Data Center Colocationmarket has been analyzed by utilizing the best combination of secondary sources and in-house methodology along with a unique blend of primary insights. The real-time assessment of the Data Center Colocation market is an integral part of our market sizing and forecasting methodology, wherein our industry experts and team of primary participants helped in compiling the best quality with realistic parametric estimations.
In4Researchs latest market research report on theData Center Colocation market, with the help of a complete viewpoint, provides readers with an estimation of the global market landscape. This report on the Data Center Colocation market analyzes the scenario for the period of 2020 to 2026, wherein, 2019 is the base year. This report enables readers to make important decisions regarding their business, with the help of a variety of information enclosed in the study.
This report on the Data Center Colocation market also provides data on the developments made by important key companies and stakeholders in the market, along with competitive intelligence. The report also covers an understanding of strengths, weaknesses, threats, and opportunities, along with the market trends and restraints in the landscape.
Questions Answered in Data Center Colocation Market Report:
Request for a sample copy of the report to get extensive insights into Data Center Colocation market @https://www.in4research.com/sample-request/295 Based on Product type, Data Center Colocation market can be segmented as:
Based on Application,Data Center Colocation market can be segmented:
The Data Center Colocation industry study concludes with a list of leading companies/suppliers operating in this industry at different stages of the value chain.
List of key players profiled in the report:
If you are planning to invest into new products or trying to understand this growing market, this report is your starting point.
Ask for more details or request custom reports from our industry experts @https://www.in4research.com/customization/295
Regional Overview & Analysis of Data Center Colocation Market:
Analysis of COVID-19 Impact & Post Pandemic Opportunities in Data Center Colocation Market:The outbreak of COVID-19 has brought along a global recession, which has impacted several industries. Along with this impact COVID Pandemic has also generated few new business opportunities for Data Center Colocation market. Overall competitive landscape and market dynamics of Data Center Colocation has been disrupted due to this pandemic. All these disruptions and impacts has been analysed quantifiably in this report, which is backed by market trends, events and revenue shift analysis. COVID impact analysis also covers strategic adjustments for Tier 1, 2 and 3 players of Data Center Colocation market.
Table of Content: Global Data Center Colocation Market
Chapter 1. Research Objective1.1 Objective, Definition & Scope1.2 Methodology1.2.1 Primary Research1.2.2 Secondary Research1.2.3 Market Forecast Estimation & Approach1.2.4 Assumptions & Assessments1.3 Insights and Growth Relevancy Mapping1.3.1 FABRIC Platform1.4 Data mining & efficiency
Chapter 2. Executive Summary2.1 Data Center Colocation Market Overview2.2 Interconnectivity & Related markets2.3 Ecosystem Map2.4 Data Center Colocation Market Business Segmentation2.5 Data Center Colocation Market Geographic Segmentation2.6 Competition Outlook2.7 Key Statistics
Chapter 3. Strategic Analysis3.1 Data Center Colocation Market Revenue Opportunities3.2 Cost Optimization3.3 Covid19 aftermath Analyst view3.4 Data Center Colocation Market Digital Transformation
Chapter 4. Market Dynamics4.1 DROC4.1.1 Drivers4.1.2 Restraints4.1.3 Opportunities4.1.4 Challenges4.2 PEST Analysis4.2.1 Political4.2.2 Economic4.2.3 Social4.2.4 Technological4.3 Market Impacting Trends4.3.1 Positive Impact Trends4.3.2 Adverse Impact Trends4.4 Porters 5-force Analysis4.5 Market News By Segments4.5.1 Organic News4.5.2 Inorganic News
Chapter 5. Segmentation & Statistics5.1 Segmentation Overview5.2 Demand Forecast & Market Sizing
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Data Center Infrastructure Market 2026 Growth Forecast Analysis by Manufacturers, Regions, Type and Application – The Daily Philadelphian
The Data Center Infrastructure market research report providesan in-depth analysis of parent market trends, macro-economic indicators, and governing factors, along with market attractiveness as per segment. The report also maps the qualitative impact of various market factors on market segments and geographies.Data Center Infrastructure Market Research Report is a Professional and In-Depth Study on the Existing State of Data Center Infrastructure Industry.
This Report Focuses on the Data Center Infrastructure Definition, Scope, Market Forecast Estimation & Approach, Insights and Growth Relevancy Mapping, Data mining & efficiency, Strategic Analysis, Competition Outlook, Covid19 aftermath Analyst view, Market Dynamics (DROC, PEST Analysis), Market Impacting Trends, Market News & many more. It also Provides Granular Analysis of Market Share, Segmentation, Revenue Forecasts and Regional Analysis till 2026.
Further, Data Center Infrastructure Market report also covers the development policies and plans, manufacturing processes and cost structures, marketing strategies followed by top players, distributors analysis, marketing channels, potential buyers and Data Center Infrastructure development history. This report also states import/export, supply, and consumption figures as well as cost, price, revenue and gross margin by regions.
Request for Sample Copy of Data Center Infrastructure Market with Complete TOC and Figures & Graphs @ https://www.in4research.com/sample-request/2004
The Data Center Infrastructure market report covers major market players like
Data Center Infrastructure Market is segmented as below:
By Product Type:
Breakup by Application:
Get a complete briefing on Data Center Infrastructure Market Report @ https://www.in4research.com/speak-to-analyst/2004
Along with Data Center Infrastructure Market research analysis, buyer also gets valuable information about global Data Center Infrastructure Production and its market share, Revenue, Price and Gross Margin, Supply, Consumption, Export, Import volume and values for following Regions:
Impact of COVID-19 on Data Center Infrastructure Market
The report also contains the effect of the ongoing worldwide pandemic, i.e., COVID-19, on the Data Center Infrastructure Market and what the future holds for it. It offers an analysis of the impacts of the epidemic on the international Market. The epidemic has immediately interrupted the requirement and supply series. The Data Center Infrastructure Market report also assesses the economic effect on firms and monetary markets. Futuristic Reports has accumulated advice from several delegates of this business and has engaged from the secondary and primary research to extend the customers with strategies and data to combat industry struggles throughout and after the COVID-19 pandemic.
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Data Center Infrastructure Market Report Provides Comprehensive Analysis as Following:
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Fog Computing Market Report Aims To Outline and Forecast , Organization Sizes, Top Vendors, Industry Research and End User Analysis By 2026 – Cheshire…
Fog Computingmarket has been analyzed by utilizing the best combination of secondary sources and in-house methodology along with a unique blend of primary insights. The real-time assessment of the Fog Computing market is an integral part of our market sizing and forecasting methodology, wherein our industry experts and team of primary participants helped in compiling the best quality with realistic parametric estimations.
In4Researchs latest market research report on theFog Computing market, with the help of a complete viewpoint, provides readers with an estimation of the global market landscape. This report on the Fog Computing market analyzes the scenario for the period of 2020 to 2026, wherein, 2019 is the base year. This report enables readers to make important decisions regarding their business, with the help of a variety of information enclosed in the study.
This report on the Fog Computing market also provides data on the developments made by important key companies and stakeholders in the market, along with competitive intelligence. The report also covers an understanding of strengths, weaknesses, threats, and opportunities, along with the market trends and restraints in the landscape.
Questions Answered in Fog Computing Market Report:
Request for a sample copy of the report to get extensive insights into Fog Computing market @https://www.in4research.com/sample-request/1183 Based on Product type, Fog Computing market can be segmented as:
Based on Application,Fog Computing market can be segmented:
The Fog Computing industry study concludes with a list of leading companies/suppliers operating in this industry at different stages of the value chain.
List of key players profiled in the report:
If you are planning to invest into new products or trying to understand this growing market, this report is your starting point.
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Regional Overview & Analysis of Fog Computing Market:
Analysis of COVID-19 Impact & Post Pandemic Opportunities in Fog Computing Market:The outbreak of COVID-19 has brought along a global recession, which has impacted several industries. Along with this impact COVID Pandemic has also generated few new business opportunities for Fog Computing market. Overall competitive landscape and market dynamics of Fog Computing has been disrupted due to this pandemic. All these disruptions and impacts has been analysed quantifiably in this report, which is backed by market trends, events and revenue shift analysis. COVID impact analysis also covers strategic adjustments for Tier 1, 2 and 3 players of Fog Computing market.
Table of Content: Global Fog Computing Market
Chapter 1. Research Objective1.1 Objective, Definition & Scope1.2 Methodology1.2.1 Primary Research1.2.2 Secondary Research1.2.3 Market Forecast Estimation & Approach1.2.4 Assumptions & Assessments1.3 Insights and Growth Relevancy Mapping1.3.1 FABRIC Platform1.4 Data mining & efficiency
Chapter 2. Executive Summary2.1 Fog Computing Market Overview2.2 Interconnectivity & Related markets2.3 Ecosystem Map2.4 Fog Computing Market Business Segmentation2.5 Fog Computing Market Geographic Segmentation2.6 Competition Outlook2.7 Key Statistics
Chapter 3. Strategic Analysis3.1 Fog Computing Market Revenue Opportunities3.2 Cost Optimization3.3 Covid19 aftermath Analyst view3.4 Fog Computing Market Digital Transformation
Chapter 4. Market Dynamics4.1 DROC4.1.1 Drivers4.1.2 Restraints4.1.3 Opportunities4.1.4 Challenges4.2 PEST Analysis4.2.1 Political4.2.2 Economic4.2.3 Social4.2.4 Technological4.3 Market Impacting Trends4.3.1 Positive Impact Trends4.3.2 Adverse Impact Trends4.4 Porters 5-force Analysis4.5 Market News By Segments4.5.1 Organic News4.5.2 Inorganic News
Chapter 5. Segmentation & Statistics5.1 Segmentation Overview5.2 Demand Forecast & Market Sizing
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Advanced Analytics Market Analysis, COVID-19 Impact,Outlook, Opportunities, Size, Share Forecast and Supply Demand 2021-2027|Trusted Business Insights…
Trusted Business Insights answers what are the scenarios for growth and recovery and whether there will be any lasting structural impact from the unfolding crisis for the Advanced Analytics market.
Trusted Business Insights presents an updated and Latest Study on Advanced Analytics Market 2020-2029. The report contains market predictions related to market size, revenue, production, CAGR, Consumption, gross margin, price, and other substantial factors. While emphasizing the key driving and restraining forces for this market, the report also offers a complete study of the future trends and developments of the market.The report further elaborates on the micro and macroeconomic aspects including the socio-political landscape that is anticipated to shape the demand of the Advanced Analytics market during the forecast period (2020-2029).It also examines the role of the leading market players involved in the industry including their corporate overview, financial summary, and SWOT analysis.
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Report Overview: Advanced Analytics Market
The global advanced analytics market size was valued at USD 8.7 billion in 2020 and is excepted to register a CAGR of 14.2% from 2021 to 2027. Advanced analytics is the autonomous examination of data or content using sophisticated techniques and tools such as data mining, machine learning, neural networks, semantic analysis, and multivariate statistics. Companies in various sectors such as BFSI, IT and telecom, and energy and utilities are leveraging advanced analytics for seamless data processing and make prompt decisions to maintain their competitive edge in the market. The increasing adoption of analytical solutions in the retail sector for activities such as demand forecasting, behavior analytics, and trade promotion optimization, is a significant factor responsible for the growth of the market.
In recent years, there has been a tremendous rise in the demand for database management tools owing to the vast adoption of unorganized data generated from streaming activities for media subscription services such as Netflix, Amazon Prime Video, and Hulu. This has translated into growth in demand for advanced analytics. Moreover, continuous advancements in the location-based services and the integration of this technology with a Geographical Information System (GIS) has resulted in increased geospatial data. As a result, various companies are adopting advanced analytics for locating their customers on the map through geospatial data and drafting their strategies accordingly. Furthermore, the growth of the e-commerce sector has resulted in a rise in demand for advanced analytics solutions.
The increasing demand for advanced analytics that has become an essential tool for prediction and forecast of electricity consumption, trade market, and traffic trend predictions, has boosted the market growth. The use of advanced analytics in demand forecasting can help organizations in making informed decisions and augmenting their profitability. Government agencies, as well as incumbents of various industries, such as banking, manufacturing, and professional services, have been investing aggressively in big data analytics that bodes well for the growth of the market. For instance, the banking industry had invested USD 20.8 billion in big data analytics in 2016.In large enterprises, the amount of data generated is enormous, which has resulted in a rising demand for solutions such as big data analytics and predictive analytics that is a crucial factor driving the market. According to research conducted by Seagate Technology LLC, the volume of data created worldwide is anticipated to grow to 163 zettabytes by 2025 from 12 zettabytes in 2015. Furthermore, the tremendous rise in demand for IoT predictive solutions that collect data from various sensors connected to the IoT network, such as air quality sensors, temperature sensors, and motion sensors, is expected to drive the adoption of advanced analytical tools. The synergy of cellular networks and advanced analytics have enabled IoT to enhance the efficiency of organizations by improving the speed and accuracy of the information and data shared without human intervention.
Various healthcare institutes are extensively using advanced analytical tools to derive clinically meaningful outcomes through investigational mining of Electronic Health Records (EHRs) of patient. This will aid in identifying medical inaccuracies in the database to offer cost-effective treatments to patients while reducing wastage of resources. Furthermore, the increase in demand for real-time monitoring among various pharmaceutical companies and research centers will create new opportunities for advanced analytical solutions to gain insightful clinical outcomes. This is a significant factor in driving the growth of the advanced analytics market.
Type Insights: Advanced Analytics Market
The big data analytics segment accounted for a significantly high share of the market in 2019 owing to the rise in the number of virtual online offices and the increasing popularity of social media that is producing an enormous amount of data. Initially, big data analytics was able to cater to only a single need out of several requirements of businesses. However, the development of Software as a Service (SaaS)-based big data analytics has added convenience to the process of automation and allowed advanced analytical models to be built in a self-service model. Furthermore, the increasing adoption of big data analytics from the companies operating in the industrial sector has propelled segment growth, significantly.
The customer analytics segment is anticipated to grow significantly on account of rising demand for better customer retention, lead management, and customer experience enhancement. Moreover, the integration of various CRM suites with multiple data processing tools for mining unstructured contact data of potential customers is the prime focus of end users. This, in turn, is driving the demand for customer analytics. The increasing demand for omnichannel experience among the customers of the retail industry has propelled market growth. Furthermore, companies in the retail sector are emphasizing the adoption of customer analytics for the development of personalized communications and marketing programs. This, in turn, is further driving segment growth.
Deployment Insights: Advanced Analytics Market
Enterprises opting for on-premise deployment have better control of the IT infrastructure as well as the flexibility to customize the IT infrastructure whenever required. The on-premise deployment helps in reducing the dependency on the internet and protecting the data from potential losses and frauds. Such benefits are expected to encourage enterprises to opt for on-premise deployment. Furthermore, organizations operating in the BFSI sector are preferring the on-premise model owing to the growing concerns towards the frauds such as new account frauds and account takeovers. Organizations utilizing the on-premise model are more immune to these frauds that bodes well for segment growth.
Companies operating in the market such as IBM Corporation, SAP SE, and Microsoft Corporation, are emphasizing on their advanced analytics solutions through their cloud platforms, thereby driving segment growth. For instance, Microsoft offers its big data analytics software through Microsoft Azure. Furthermore, some of the companies are deploying advanced analytics solutions through their existing products such as Customer Relationship Management (CRM) and Enterprise Asset Management (EAM). As these solutions are provided through the cloud, the demand for cloud-based deployment has risen significantly. However, concerns regarding security and privacy are the major hindrances observed in cloud deployment that is negatively impacting segment growth.
Enterprise Size Insights: Advanced Analytics Market
The advanced analytics market is expected to witness significant adoption across the large enterprise segment, which can be attributed to the growing adoption of advanced analytics solutions such as customer analytics and business analytics for efficiently managing the vast databases of customers and assets. In large enterprises, the amount of data generated is enormous that has resulted in a rising demand for solutions such as big data analytics and predictive analytics, which is a significant factor boosting the growth of the segment. Large enterprises are prioritizing location intelligence, data governance, and enterprise planning, which is a significant factor in driving the segment. Moreover, large enterprises in the retail sector are leveraging advanced analytics for improving the accuracy of their sales forecasting models and reducing inventories.
The exponential rise in the number of small and medium enterprises in countries such as Australia, China, and Singapore is a significant factor driving the demand for advanced analytics. The significant role of governments in the provision of funds to small and medium enterprises for the adoption of cloud-based solutions is expected to further drive the demand for advanced analytics by small and medium enterprises. For instance, the Government of Australia provides funds to start-ups for the adoption of cloud-based advanced analytics solutions under its Digital Australia 2020 initiative. Furthermore, SMEs are opting for advanced analytics solutions such as business analytics and customer analytics for providing enhanced customer service and making better decisions in-line with the inherent risks.
End-use Insights: Advanced Analytics Market
The BFSI segment held the largest share in the market in 2019, owing to the rising need to optimize processes, alleviate frauds, and risk handling. Advanced analytics is helping banks sort through unstructured data for analyzing global and regulatory compliance that depends on the region of operation. Moreover, credit risk management, capital planning, and insurance risk management are increasingly important owing to regulatory requirements. Furthermore, incumbents operating in the BFSI sector is emphasizing on the replacement of traditional anti-fraud technology tools with advanced analytics.
The demand for these solutions is anticipated to grow significantly in the IT and telecom sector on account of the growing demand for collaboration tools such as web conferencing and video conferencing. Furthermore, the companies in this sector are adopting advanced analytical tools for the prevention of frauds, such as illegal access, authorization, or cloning. Moreover, as telecom companies serve a large number of customers, the use of big data analytics will enable them to build micro-segmentations. This will, in turn, allow these companies to personalize every customers needs and determine the most valuable customers. Additionally, the incumbents of the IT and telecom sector are emphasizing the adoption of advanced analytics for network optimization, enabling them to serve their customers at all times.
Regional Insights: Advanced Analytics Market
In 2019, North American dominated the market owing to the adoption of technologies such as artificial intelligence and big data analytics and the presence of supporting infrastructure. The growth of the regional market is driven by the increasing adoption of advanced analytical tools by automotive manufacturers in the region. For instance, in October 2018, SAS Institute Inc. bagged a contract from Volvo Trucks North America for providing its advanced analytics platform. This helped Volvo Trucks North America strengthen its portfolio of uptime-boosting services by improving remote diagnostics. The growth of the regional market is further propelled by the rising adoption of social media that has fueled the demand for advanced analytical solutions.
The Asia Pacific region is anticipated to grow at phenomenal rate over the forecast period owing to the rise in the number of frauds in the regions BFSI sector. The growth of the e-commerce industry in countries such as China, India, and Singapore has resulted in increased demand for solutions such as demand forecasting and predictive analytics. Furthermore, various enterprises in the region are investing heavily in customer analytics to improve business efficiency and productivity. Moreover, travel companies in the region such as China Ways LLC, TNT Korea Travel, and Trafalgar, are extensively adopting advanced analytical solutions for tracking buses, train schedules, breakdowns, and traffic management. This, in turn, bodes well for the growth of the regional market.
Advanced Analytics Market Share Insights: Advanced Analytics Market
Some of the major players in the market include
Although the market is dominated by a few large players, the emergence of niche players offering industry-specific solutions has changed the market dynamics. Some of the players operating in the market such as IBM Corporation, Microsoft Corporation, and Trianz have adopted strategies such as mergers, acquisitions, and collaborations for enhancing their market share. For instance, in January 2018, Trianz acquired CBIG Consulting to strengthen its analytics practice.
Companies such as IBM Corporation and Microsoft Corporation are also focusing on R&D activities for the development of new products. For instance, IBM Corporation invests more than USD 5 billion on its R&D expenses annually enabling it to launch innovative cutting-edge solutions and products. For instance, in February 2019, IBM Corporation launched a new portfolio of IoT solutions that use a combination of advanced analytics and artificial intelligence. These IoT solutions enable asset-intensive organizations, such as the Metropolitan Atlanta Rapid Transit Authority (MARTA) to improve their maintenance strategies. Moreover, they reduce the risk of failure from physical assets, such as manufacturing robots, vehicles, mining equipment, turbines, elevators, and electrical transformers.This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2016 to 2027. For the purpose of this study, Trusted Business Insights has segmented the global advanced analytics market report based on type, deployment, enterprise size, end use, and region.
Type Outlook (Revenue, USD Million, 2016 2027)
Deployment Outlook (Revenue, USD Million, 2016 2027)
Enterprise Size Outlook (Revenue, USD Million, 2016 2027)
End-use Outlook (Revenue, USD Million, 2016 2027)
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