Category Archives: Cloud Computing
Alibaba approves cloud computing unit spin-off, prepares for grocery and logistics arms to go public – Yahoo Finance
HONG KONG (AP) Alibaba plans to spin-off of its cloud computing business and said Thursday that its logistics and grocery units will explore initial public offerings as the Chinese e-commerce company kickstarts a restructuring of its operations in hopes of spurring growth.
The company in March announced plans to reshape itself into six business divisions with plans to allow all but its core e-commerce business to raise external capital and go public.
In an earnings call Thursday, Alibaba CEO Daniel Zhang said that the Alibaba plans to fully spin off its cloud computing unit and complete a public listing in the next 12 months, allowing it to optimize operations, Zhang said.
Alibabas board of directors approved the full spin-off of the cloud computing unit via a stock dividend distribution to shareholders, the company said.
Zhang also said that Freshippo, its groceries arm, as well as logistics arm Cainiao, are ready to go public.
Alibabas board has approved plans to begin Freshippos IPO process and Cainiao will explore an IPO in the next 12 to 18 months, he said.
Other units such as Alibabas international digital commerce group, which operates Singapore-based e-commerce platform Lazada, will also explore raising external capital as it seeks to expand globally.
Alibaba Group Holding on Thursday posted a lower-than-expected 2% rise in revenue for the quarter ended March, suggesting that spending has been slow to bounce back in China since the removal of COVID-19 restrictions amid slowing economic growth.
The company reported revenues of 208.2 billion yuan ($29.6 billion) for its March quarter. It also reversed losses from the same quarter last year, posting a net income of 23.5 billion yuan ($3.3 billion) due to one-off gains from its equity investments.
Revenue from its China commerce business Alibabas largest business unit by revenue declined 3% compared with the same period last year. Its cloud computing unit also declined 2% in revenue.
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Alibaba approves cloud computing unit spin-off, prepares for grocery and logistics arms to go public - Yahoo Finance
Public cloud contribution to UAE could reach $181bn by 2033 – Trade Arabia
UAE can unlock $181 billion or 2.5% of the its cumulative GDP in additional economic value over the next decade (2023-2033) by accelerating adoption of cloud, says Amazon Web Services (AWS) in a new report.
The study, performed by Telecom Advisory Services, and directed by Raul Katz, Director of Business Strategy Research at the Columbia Institute for Tele-information (Columbia Business School), provides a cutting-edge econometrical method for calculating the aggregate productivity gains realised by economies that adopt cloud computing. It extends previous economic research focused on firm-level productivity by establishing cloud adoption as a driver of national productivity and economic growth.
Unleashing economic power of cloud computing
In 2021, public cloud adoption made a significant impact on the UAE's economy. According to the report, it contributed 2.26% to the countrys GDP, generating an economic value of $9.5 billion, the largest public cloud contribution to GDP in the region. This "productivity" effect is in addition to the "construction" effect of building and operating cloud infrastructures in the UAE, which, in the case of AWS UAE Region, are projected to contribute $11.2 billion to the UAE economy by 2036 and support nearly 6,000 full-time equivalent jobs annually.
In the Mena, the UAE is where cloud adoption is driving the most economic growth in terms of spillovers. The report finds that a 1% increase in cloud adoption by UAE organisations will result in a 0.21% (854.7 million) average GDP growth, which is three times the Mena average and the highest in the region.
Over 91% of this impact, can be attributed to the national productivity gains or so-called spillover effects on the economy, while the remainder (9%) is driven by cloud spending from UAE public and private organisations. As an economic stimulant, cloud computing is 17% more effective in the UAE than mobile broadband.
Tremendous opportunity
Yasser Hassan, Managing Director, Commercial Sector, MenaT at AWS, said: "The findings of our report highlight the tremendous opportunity for the UAE to accelerate economic growth and position the country as an attractive and influential economic hub, in line with the government's We the UAE 2031 vision launched by His Highness Sheikh Mohammed bin Rashid Al Maktoum, Vice President and Prime Minister of the UAE and Ruler of Dubai. As cloud computing continues to gain momentum, it is imperative for the UAE to continue to support cloud adoption and develop a skilled workforce to enhance the country's competitiveness on a global scale. With the support of AWS, the UAE can accelerate its digital transformation and unlock new opportunities for economic growth and social development."
The study demonstrates that the economic impact of cloud computing is guided by returns to scale, - greater adoption of cloud computing will lead to proportionally greater productivity gains and economic impact.
The UAE has ambitious plans to diversify its economies through digitisation. In 2021, 43% of organisations in the UAE region adopted cloud computing, versus 49% in Western Europe and North America. With the government's focus on digital transformation, it is well-positioned to become a hub for cloud computing in the region.
Increased efficiency
The widespread adoption of cloud has already led to increased efficiency, cost savings, and job creation in various industries. As more businesses and organisations continue to migrate to the cloud, the economic benefits are expected to grow even further, added Yasser.
The report identifies four key advantages of cloud computing: First, it enhances business efficiency and effectiveness, streamlining processes and improving outcomes; second, it offers access to a wide range of services, enabling businesses to leverage advanced technologies; third, it boosts productivity by facilitating collaboration, mobility, and agility within the workforce; fourth, cloud computing promotes environmental sustainability by reducing carbon emissions per unit of data transmitted.-- TradeArabia News Service
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Public cloud contribution to UAE could reach $181bn by 2033 - Trade Arabia
Women at Suncorp skill up with cloud training program – IT Brief Australia
Over 700 women at Suncorp Group will lead the charge in addressing Australias technology skills shortage, taking part in a cloud technology in-house training program.
Increasing digital transformation across all sectors in Australia has increased the demand for highly skilled technology workers with digital and cloud expertise.
Delivered in collaboration with Amazon Web Services (AWS), the AWS CloudUp for Her Cloud Practitioner, is a flexible, eight-week, community-based learning program for women to learn the basics of cloud computing.
No technical or IT experience is required to start, making it suitable for any type of role at any level. Suncorp Group says it can also be an entry point for deeper technical certifications.
Adam Bennett,Chief Information Officer at Suncorp, says the program is tackling misconceptions about tech roles and breaking down perceived barriers to careers in tech.
Cloud computing is the way of the future, and as an early adopter, we know that cloud computing can enable our Suncorp team to offer more innovative, digital insurance solutions for our customers; at lower cost and increased agility, says Mr Bennet.
We are blown away by the response, which has seen 1 in 12 of our female employees put their hand up to participate in the first cohort.
Even more impressive is that around 70% come from non-technology roles as our people look to build basic cloud knowledge, future-proof their skills and potentially create new career pathways.
We recognise our talent is our competitive advantage, so this is not only an investment in them and their careers, but helping shape our workforce of the future, Mr Bennet says.
A recent AWS and Gallup study identified that 65% of Australian workers with advanced digital skills expressed higher levels of job satisfaction, earned 24% higher annual salaries, and increased their opportunities for promotion by 32%.
Suncorp and AWS have worked together for the past decade on the insurers migration to the cloud for its mission-critical apps, including its customer apps and pricing engine.
Through Suncorps cloud strategy, the company has committed to exit owned or leased data centres by early 2024, migrating 90% of its workloads to the cloud.
This transformation is expected to enable faster service updates, boost security and risk management capabilities, increase cost efficiencies, create a more agile and resilient architecture, and enhance opportunities for innovation, resulting in more positive customer experiences.
Rianne Van Veldhuizen, Managing Director for Australia and New Zealand, AWS, says: We have worked together with Suncorp to unlock the power of AWS to accelerate digital transformation and growth, enabling them to meet and exceed the constantly-changing and high demands that its customers are expecting.
To continue this modernisation journey, Suncorp will need employees with the right cloud skills to help the organisation innovate.
Its inspiring to see many women at Suncorp eager to start and continue their cloud learning journey.
Were committed to building and bringing a diverse pipeline of talent into the cloud workforce, and Suncorps implementation of the AWS CloudUp for Her Cloud Practitioner is a great step towards this goal, says Ms Van Veldhuizen.
Lori Richardson, a project manager from Brisbane taking part in the program, says the program has opened new doors for her regarding career options.
Ive already learned so much and can see how this knowledge will benefit my current role. Im learning the language, which will help me build credibility with my stakeholders."
But I also see this as a great entry point to think about what possibilities there might be for me in this field down the track," says Richardson.
The Australian Government has also pledged to address the growing IT skills shortage and aims to have 1.2 million technology-related jobs by 2030.
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Women at Suncorp skill up with cloud training program - IT Brief Australia
Oracle almost missed the bus on cloud. Can a late charge help it catch up with AWS, Azure, et al.? – Economic Times
Oracle Executive Chairman of the Board and Chief Technology Officer, Larry Ellison, delivers a keynote address during the 2014 Oracle Open World conference.
Synopsis
12 mins read, Last Updated: May 24, 2023, 04:04 PM IST
Oracle Corp was late to the cloud party because its mercurial founder Larry Ellison thought cloud computing was complete gibberish. That led to a multi-year delay before the company had a radical rethink and launched Oracle Cloud Infrastructure (OCI) products in 2016.The late start clearly shows in the cloud providers pecking order. The USD500 billion cloud market is led by Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform
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Oracle almost missed the bus on cloud. Can a late charge help it catch up with AWS, Azure, et al.? - Economic Times
Global Edge Computing Technology Market Report 2023: Increasing Usage of 5G Network to Deliver Instant Communication Experiences Presents…
Company Logo
Global Edge Computing Technology Market Market
Global Edge Computing Technology Market Market
Dublin, May 23, 2023 (GLOBE NEWSWIRE) -- The "Global Edge Computing Technology Market: Trends and Forecast to 2027" report has been added to ResearchAndMarkets.com's offering.
This report studies the global as well as regional markets for edge computing technologies, identifying newer markets and exploring the expansion of the current application market for various end-users.
A realistic five-year forecast has been made for the future global markets for different types of components in edge computing. The end uses for edge computing are discussed to establish global as well as regional usage. A future forecast has been made for all end-user industries.
Before the concept of a centralized data processing architecture dependent on a cloud data center, much of the processing occurred locally. This method was more expensive and less flexible than cloud computing, but local processing provided faster response time and more computing power close to the application, enabling solid performance.
With the move to cloud computing, most of the processing occurs at the data center, requiring the data to traverse multiple network interconnection points. These hops between internet nodes and gateways can lead to significant bottlenecks that increase latency, delaying application performance.
As the current generation of applications, including big data analytics, cognitive computing, and the Internet of Things, requires high bandwidth and low latency, the cloud model is causing performance degradation. Edge computing uses a new architecture to stage processing for part of the application workload closer to the user. Enabled by cloud technologies, edge computing provides local scaled-down network nodes and mini-data centers that can be deployed within a distributed infrastructure. The goal is to improve application performance without incurring the cost and inflexibility of local processing.
The market drivers of edge computing are creating new installations of software, hardware, and network technologies at the edge of the network, resulting in a market of nearly $41.4 billion in 2021, growing to $124.7 billion in 2027 at a CAGR of 21.9% during the period 2022-2027.
In terms of industry, the healthcare and life sciences segment is expected to see significant growth in the edge computing market, driven by the need for real-time data processing and analysis in areas such as remote patient monitoring and telemedicine. The manufacturing industry is also expected to be a major contributor to the growth of the edge computing market, as companies look for ways to improve their supply chain management and manufacturing processes.
In terms of geographical regions, North America is currently the largest market for edge computing, with the U.S. accounting for most of the market share. North America leads the edge computing market with a nearly $18.6 billion segment value in 2021 and a CAGR of 22.4%. However, the Asia-Pacific region is expected to see the highest growth over the next few years, driven by the increasing adoption of IoT devices and the rollout of 5G networks in countries such as China and South Korea. The Asia-Pacific has invested in edge computing and is quickly picking up the pace with a CAGR of 24.8% to achieve $27.8 billion by 2027. Coinciding with the adoption of software-defined technologies, edge computing in Asia is advancing ahead of Europe.
Overall, the edge computing market is experiencing strong growth and is expected to continue to expand rapidly in the coming years as more businesses adopt edge computing technologies to improve their data processing and analysis capabilities.
Story continues
Market Dynamics
Market Drivers
Rising Demand for Low-Latency Processing and Real-Time Automated Decision-Making Solutions
Rapid Growth in the Consumer Electronics Sector
Growing Adoption of the Internet of Things (Iot)
Increasing Demand for Video Analytics
Market Restraints
Market Challenges
Market Opportunities
Increasing Usage of 5G Network to Deliver Instant Communication Experiences
The Emergence of Autonomous Vehicles and Connected Car Infrastructure
Growing Demand for Edge-As-A-Service (EaaS)
Report Includes
An updated overview and in-depth analysis of the global markets for edge computing technologies
Analyses of the global market trends, with historical market revenue data (sales figures) for 2021, estimates for 2022, forecasts for 2023, and projections of compound annual growth rates (CAGRs) through 2027
Discussion of industry growth driving factors and major technology issues and challenges affecting the market for edge computing technologies as a basis for projecting demand in the next few years (2022-2027)
Estimation of the actual market size and revenue forecast for global edge computing market, and corresponding market share analysis by business segment, provider type, end-use industry, and region
Updated information on recent market dynamics, industry shifts and regulations, and the impact of Covid-19 and other macroeconomic variables that will influence this market over the analysis period
Analysis of market opportunities with a holistic review of Porter's five forces analysis and value chain analysis considering both micro
and macro environmental factors prevailing in the market
Review of key granted patents and patents published on edge computing technologies by Mar 2023
A look at the major growth strategies adopted by leading players operating in the edge computing industry, along with their recent developments, strategic alliances, and competitive benchmarking
Identification of the major stakeholders and analysis of the competitive landscape based on recent developments and segmental revenues
Key Attributes:
Report Attribute
Details
No. of Pages
180
Forecast Period
2022 - 2027
Estimated Market Value (USD) in 2022
$46.3 Billion
Forecasted Market Value (USD) by 2027
$124.7 Billion
Compound Annual Growth Rate
21.9%
Regions Covered
Global
Key Topics Covered:
Chapter 1 Introduction
Chapter 2 Summary and Highlights
Chapter 3 Market and Technology Background
Chapter 4 Market Dynamics
Chapter 5 Market Breakdown by Business Segment
Chapter 6 Market Breakdown by Industry
Chapter 7 Market Breakdown by Region
Introduction
North American Market Outlook
European Market Outlook
Asia-Pacific Market Outlook
Rest of the World (Row) Market Outlook
Chapter 8 Patent Analysis
Chapter 9 Competitive Landscape
Chapter 10 M&A and Funding Outlook
Chapter 11 Company Profiles
Companies Mentioned
Alphabet Inc.
Amazon.Com Inc.
Barracuda Networks Inc.
Capgemini Se
Check Point Software Technologies Ltd.
Cisco Systems, Inc.
Dell Technologies Inc.
Edgeiq
Ekinops Sa
Fortinet Inc.
Fujitsu Ltd.
General Electric Co.
Hewlett Packard Enterprise Co.
Honeywell International Inc.
Huawei Technologies Co. Ltd.
International Business Machines Corp.
Intel Corp.
Juniper Networks Inc.
Litmus Automation
Microsoft Corp.
Oracle Corp.
Rockwell Automation Inc.
Sap Se
Siemens AG
Vmware Inc.
Western Digital Corp.
Emerging Start-Ups in the Edge Computing Industry
For more information about this report visit https://www.researchandmarkets.com/r/cvkym8
About ResearchAndMarkets.comResearchAndMarkets.com is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.
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Global Edge Computing Technology Market Report 2023: Increasing Usage of 5G Network to Deliver Instant Communication Experiences Presents...
Dow futures slip as Fitch places United States’ AAA rating on negative watch: Live updates – CNBC
An Hour Ago
European stocks extended the previous session's sharp losses early Thursday, with the Stoxx 600 index 0.13% lower.
Sectors were mixed, with technology 1.65% higher but few other gains. Media and retail stocks led losses, both down around 1.2%.
Germany's DAX fell 0.4% after statistics showed the country entered a technical recession in the first quarter. The U.K.'s FTSE 100 and France's CAC 40 lost 0.5% and 0.6%, respectively.
See Chart...
Stoxx 600 index.
6 Hours Ago
Reserve Bank of New Zealand's governor Adrian Orr said the current interest rate of 5.5% will be "sufficiently restrictive" to bring down the country's inflation to its target of 1-3%.
The central bank on Wednesday raised its benchmark interest rate by 25 basis points to 5.5% while indicating that rates will be on hold at the current rate.
Reuters added that the central bank signaled that the RBNZ's rate hikes are done with its hiking cycle.
Orr told CNBC's "Squawk Box Asia," explained that "central banks will never say [they're] done."
"What we're saying is our projection ahead is for a very flat 5.50% Official Cash Rate for the foreseeable future. But we retain options," Orr said.
He said that New Zealand's inflation expectations and economic growth is slowing, and "that gives us confidence that we can watch worry and wait, hopefully, and achieve our inflation target."
Despite the country's inflation rate standing at 6.7% in March, Orr predicts that inflation will reach 3% by the middle of 2024, and then to 2% by the middle of 2025.
"From now on, we hope to see headline CPI inflation to continue to fall and the economy achieve a relatively soft landing, although it probably won't feel like that for most people, because we like to spend," he quips.
Lim Hui Jie
8 Hours Ago
The Bank of Korea is expected to start cutting its benchmark interest rate early next year, Deutsche Bank's head of APAC Economic Research Juliana Lee said.
Lee added that she expects the central bank's policy pivot to come in tandem with the U.S. Federal Reserve.
"There are some signs that it's (exports) have hit the bottom in terms of contraction, but in terms of the rebound, we're not expecting until the fourth quarter, hence why we have a more bearish view" for growth than the central bank, Lee told CNBC's "Squawk Box Asia."
Lee added that she expects the South Korean won to remain widely unchanged until the central bank starts cutting rates.
Jihye Lee
8 Hours Ago
The Bank of Korea held its benchmark interest rate for the third consecutive time at 3.50% on Thursday.
The decision was in line with a consensus forecast by economists surveyed by Reuters that expected the central bank to pause.
The central bank governor earlier this month told CNBC that it was 'premature' to be discussing a rate cut, citing inflation rates in the nation that are still above the Bank of Korea's target of 2%.
South Korea is slated to release its consumer price index for May next Friday.
10 Hours Ago
Dow futures briefly slipped by about 100 points, or 0.3%, around 6:40 p.m. ET.
Top losers in the index include Cisco Systems, which fell 0.95%, and Intel, which dropped 0.9%.
Prior to the action, Fitch placed the United States' AAA rating on negative watch, citing debt ceiling brinksmanship around the debt ceiling negotiations and the approaching X-date, which Treasury Secretary Janet Yellen has said could be as early as June 1.
-Darla Mercado
11 Hours Ago
Check out the companies making headlines after hours.
Read the full story here.
Sarah Min
11 Hours Ago
Based on extended trading Wednesday, Nvidia's market cap neared $1 trillion after its strong earnings report.
The AI beneficiary hit $975 billion, adding $220 billion during the after-hours trading session. That's about the entire market cap of Advanced Micro Devices alone. As of Wednesday's close, AMD's market cap was $174 billion. Meanwhile, Salesforce is worth $209 billion.
Investors should be aware that even though Nvidia shares surged 26% in after-hours trading, there is no guarantee that those gains will carry into regular trading Thursday morning and result in a real market cap of that magnitude.
For Nvidia, the earnings beat was its biggest since May 2018, and its biggest revenue beat since November 2017.
See Chart...
Nvidia shares 1-day
Robert Hum, Sarah Min
11 Hours Ago
Nasdaq 100 futures rallied Wednesday night after a strong earnings beat from Nvidia.
Nasdaq 100 futures jumped 1.7%. Dow Jones Industrial Average futures were flat, while S&P 500 futures gained 0.66%.
Sarah Min
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Dow futures slip as Fitch places United States' AAA rating on negative watch: Live updates - CNBC
Clore.ai Introduces Secure Cloud: Unprecedented Affordability and … – Digital Journal
PRESS RELEASE
Published May 18, 2023
KASTANOVA, CZECH REPUBLIC / ACCESSWIRE / May 18, 2023 / Clore.ai, an innovative six-month-old platform disrupting the tech industry by enabling individuals to rent out their computing resources, today announced the launch of its groundbreaking Secure Cloud system. Offering unprecedented access to top-performing video cards like the 3090 for as low as $0.25 per hour, Secure Cloud is set to redefine the cloud computing landscape.
Secure Cloud emerges from Clore.ai's strategic acquisition of a European data center, enhancing the firm's capabilities in the cloud computing sector. The system offers users high-end computing at an unparalleled price, complete anonymity, and an ultra-stable computing environment.
"Clore.ai is committed to democratizing access to high-quality computing resources," said a spokesperson for Clore.ai. "Secure Cloud is a major milestone in our mission, providing our users with unmatched stability, unbeatable pricing, and the flexibility to manage their computational needs."
Clore.ai stands apart with its unique benefit for Clore Coin holders. Users who acquire Clore Coin and engage in Proof of Holding - a staking system where coins are held in the user's personal wallet - can enjoy up to a 50% discount on service commissions. This feature enhances the affordability and appeal of Secure Cloud, making it even more accessible to a broader range of users.
Moreover, individuals who rent out their computing resources through Clore.ai are rewarded with bonuses in the form of Clore Coin, further incentivizing participation in this growing ecosystem.
Secure Cloud also guarantees the highest level of user anonymity and system stability. Users can rely on Secure Cloud for high-intensity computing needs, such as training neural networks or mining new cryptocurrencies, without concerns about system downtime or interruptions.
"Clore.ai's Secure Cloud is set to revolutionize the traditional cloud computing market," added the company spokesperson. "We are thrilled to see how this system empowers our users and reshapes the cloud computing landscape."
About Clore.ai:
Despite being just six months old, Clore.ai has already disrupted the tech industry by enabling users to rent out their computing resources. With the launch of Secure Cloud, Clore.ai continues to redefine the boundaries of cloud computing, making top-tier computing accessible, affordable, and rewarding for all.
For more information, visit https://clore.ai and explore Secure Cloud at https://clore.ai/secure-cloud
Media Details:Name: CloreEmail: [emailprotected]City: KatanovCounty: Czech Republic
SOURCE: Clore
View source version on accesswire.com: https://www.accesswire.com/755668/Cloreai-Introduces-Secure-Cloud-Unprecedented-Affordability-and-Anonymity-in-High-End-Cloud-Computing
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Clore.ai Introduces Secure Cloud: Unprecedented Affordability and ... - Digital Journal
Size of the Prize: Assessing the Market for Edge Computing in Space – Via Satellite
Via Satellite illustration.
This is the second of a two-part series analyzing the value of edge computing in space by the Boston Consulting Group. Read Part One:Size of the Prize: How Will Edge Computing in Space Drive Value Creation?
What key drivers are necessary to ensure that edge computing in space is widely adopted to the degree that it reaches an inflection point of affordability? We at the Boston Consulting Group believe that cybersecurity, cost, and ESG will drive the market for edge computing in space.
Cybersecurity is an area in which edge computing offers distinct advantages. Cloud computing is vulnerable to the ever-increasing risk of cybersecurity breaches, which can lead to major data theft or loss. Organizations across industries that collect personally identifiable information on a public cloud expose themselves to liability and/or compliance concerns, while sensitive intellectual property and proprietary industry data can become vulnerable to cybersecurity attacks at various nodes of transmission particularly given growing dependency on cloud computing.
The main challenge presented by the current cloud computing landscape is that corporate services and data are entrusted to third parties and are exposed to a higher level of risk, both in terms of security and privacy. The top three threats to cloud systems are unsafe API interfaces, data loss or theft, and hardware failure. The widespread use of virtualization in the implementation of cloud infrastructure also creates security problems because it alters the relationship between operating systems and underlying hardware, introducing an additional level that must be managed and protected.
In contrast, edge computing introduces multiple advantages for cybersecurity since data is processed locally. This eliminates risks stemming from data transfers, which are typically encrypted and inevitable when using typical terrestrial cloud solutions. With edge computing, complex calculations occur at the IoT device/perimeter server level and the only transfer is that of the final result to the user. The risk of data loss is driven more by damage to local servers, rather than cybersecurity vulnerabilities.
[Hear more: Sita Sonty talks with N2K Space about edge computing in the T-Minus Space Daily podcast]
Cost also presents an area of advantage to edge computing. Organizations could achieve operational cost savings by using edge computing due to the minimal need to move data to the cloud. Since data is processed at the same location where it is generated (in this case, on the satellites themselves, collecting imagery through hyperspectral or SAR capability or remote sensing data), processing these batches of data on the same satellite would also yield a significant reduction in the bandwidth needed to handle the data load.
Hosting applications and data on centralized hosting platforms or centers creates latency when users try to use them over the internet. Large physical distances coupled with network congestion or outages can delay data movement across the network. This then delays any analytics and decision-making processes.
Edge computing in space, in this context, could enable data to be accessed and processed with little or no obstacles, even when there is poor internet connectivity. Importantly, if there is failure with one edge device, it will not destroy the operation of the other edge devices in the ecosystem, facilitating a reliable, connected system.
Finally, there are potential gains to be achieved in terms of ESG metrics by adopting in-space edge computing capability. With the cloud business model dominating, there are emerging concerns about the environmental effects of centralized processing. Processing centers require enormous resources to function; they contribute to carbon emissions, accounting for0.6% of all greenhouse gas emissions, and produce electronic waste, adding to the burden humans put on the environment in pursuit of advancement.
Edge computing has become a potential alternative to moving data centers to greener practices. The edge helps reduce the networking traffic coming in and out of centralized servers, reducing bandwidth and energy drains. This frees up bandwidth at the data center itself and bandwidth for the organization, overall, in terms of any centralized servers on-premises. Moving edge computing to space would achieve even further reductions in energy consumption required at the terrestrial data center level, while the needs for temperature control and cooling would be eliminated by the freezing temperatures in LEO.
In order to estimate an overall market for edge computing in space and explain why in-space edge computing capability and associated user interface applications need to be built, we triangulated three approaches to the market: Supply, Demand, and Cost.
Today, roughly 20% of data processing and analysis occurs locally, with 80% happening in centralized data centers and computing facilities.
We developed ahigh, low, and base casefor estimating the share of industry addressable by space solutions, and as a core assumption of the model, we used reliance on cybersecurity to gauge what share of industry would be addressable by space. With this model, we expectan estimated $250 million market by 2030with defense and satcom as leading industries for application. However, it is important to note that the estimated $250 million market is addressed by only one segment of the total scope available as one looks at the Edge Computing in Space Capability Stack (Figure 2).
Figure 2: The capability stack for edge computing in space demonstrates the breadth of functions which could be enabled and supported for different end users. Source: BCG analysis.
Further upside would emerge as addressable market opportunity for connectivity service providers (satcom/telecom), applications developers (who would be responsible for developing the apps for the specific government customer to interpret processed information, for example); terminals/user interface manufacturers; and the residual flow down to data centers for cloud computing purposes. Other segments of Edge Computing in Space Capability Stack would see further value unlocked as Edge in Space comes online, delivers key capabilities to the highest need customer groups (e.g., those in defense), and brings the cost curve down for commercial use cases and applications to emerge.
By estimating demand for cloud computing across target industries, supply for satellite revenue in the aggregate space market, and comparing the cost of terrestrial and space data storage centers, we believe that there is more demand for cloud computing in space than the supply of satcom providers.
Our model indicates that the cost to host data in space will closely approach terrestrial data costs past 2030, while on supply and demand, we anticipate more demand for cloud computing space than supply of satcom providers.
In light of these differentiating factors and our model research, demand for edge computing is established and expected to grow (Figure 3). We project all of Satellite IoT spending, $1.5 billion by 2030, to be addressable given the importance of cybersecurity. We estimate the relevant edge computing market (excluding hardware and non-core service software) to be $0.3 billion by 2030, of which 75% would be in-scope. Finally, we estimate up to 2% of the total $1.2 billion cloud compute market by 2030 to be in-scope due to the selective applicability of cybersecurity and latency needs for real-time analysis.
Figure 3: Demand Model Methodology and Driver Tree
However, research indicates that supply is currently lagging behind expected need due to insufficient public and private investment, with key implications for government and private investors.
The key drivers to understanding which companies will unlock the potential of edge computing in space include prioritizing cybersecurity, lowering cost burden, and adopting ESG practices. With increasing digitalization, the space economy will further benefit from integrating edge computing into space-based business models. However, companies and governments must help develop the needed supply that our current space investment demands.
While cloud computing will remain an integral part of the overall market for the foreseeable future, the advantages offered by edge computing in space are clear enough that actors in the most promising markets of defense and agriculture should be considering the questions posed earlier. For government, how can they leverage this technology to enhance the security of critical assets and information? How should government invest in developing the market for space-based edge computing, and how can they effectively support its growth? What role will incentives play will they be tied to ESG targets?
For industry, there are questions around how to sell to target customers in key markets such as government and agriculture. Are the start-up and non-recurring engineering costs prohibitive and what investments and partnerships will be required? What scenarios exist for the development of requisite ground infrastructure?
Go to market success will require integrating the edge computing in space-as-a-service capability into a suite of other services that could already be on offer. In addition, as commercial space stations look to develop edge computing in space offerings, successful methods will integrate this capability among others in orbit, such as where and how remote sensors collect the data, where and how the data analytics are performed, and potentially offering various data streams to the same group(s) of customers utilizing the same sensors to optimize quality and quantity of output.
The space industry is no stranger to partnering closely with suppliers and customers, including governments, to develop and deliver new technology and advance the art of the possible. By making the right investments, governments, investors, and users in edge computing can turn democratizing space from an expression into a reality.
This paper is the second two-part series analyzing the value of edge computing in space by the Boston Consulting Group. Read Part One:Size of the Prize: How Will Edge Computing in Space Drive Value Creation?
S. Sita Sonty leads Boston Consulting Groups Commercial Space team. John Wenstrup is a senior leader in BCGs Technology, Media & Telecommunications practice. Cameron Scott is Global Sector Lead for Defense and Security. AndDr. Hillary Child is a Project Leader from BCGs Chicago office.
Additional research by Avril Prakash, Sarvani Yellayi, Ansh Prasad, and John Kim
Originally posted here:
Size of the Prize: Assessing the Market for Edge Computing in Space - Via Satellite
Edge Computing Impact: What Does It Do? – Dataconomy
The advent of edge computing is poised to have a significant influence on various industries, exerting its effect on both current and forthcoming verticals. Although certain sectors have already experienced the initial waves of this impact, others are anticipated to adopt it at a relatively slower pace. Consequently, telecommunications companies must exercise caution and prudence in their vertical selection process, ensuring that they choose the most appropriate target area in light of the edge computing impact.
Edge computing refers to a distributed computing paradigm that brings data processing and computation closer to the edge of the network, in close proximity to the data source or end-users. Unlike traditional centralized computing models, where data is sent to a remote data center or the cloud for processing, edge computing enables data processing and analysis to occur at or near the point of data generation.
In edge computing, small-scale data centers, known as edge nodes or edge devices, are deployed at the network edge. These nodes can include routers, gateways, servers, or IoT devices. By processing data locally at the edge, edge computing reduces latency, improves real-time responsiveness, and enhances overall system performance.
The key idea behind edge computing is to bring computation closer to the data source, which offers several advantages. It enables faster data analysis and decision-making, reduces reliance on the cloud for processing and storage, and minimizes the amount of data that needs to be transmitted over the network. This approach is particularly beneficial in scenarios where real-time processing, low latency, bandwidth efficiency, and data privacy are critical requirements, such as IoT applications, autonomous vehicles, industrial automation, and smart cities.
Edge computing has the potential to revolutionize various industries by enabling new use cases and applications that require low-latency data processing, real-time analytics, and localized decision-making. It complements cloud computing by providing a decentralized and distributed computing infrastructure that brings computational power and intelligence closer to where it is needed, unlocking the full potential of emerging technologies and enabling innovative solutions.
The main characteristics of edge computing encompass:
There exist four distinct categories of Edge Computing, each serving different purposes within the overall framework.
By categorizing edge computing into these four types, we can better understand the diverse implementations and their respective roles within the broader landscape.
PlanetScale introduces serverless driver for JavaScript: Databases are moving to the edge
Fog computing serves as an extension of cloud networks, which consist of interconnected servers forming a distributed network infrastructure. These networks empower organizations to surpass the resource limitations they would otherwise encounter. A primary advantage of cloud networks lies in their ability to gather data from diverse sources, making it accessible from anywhere via the internet. While fog computing shares similarities with cloud networks, both involving intelligent data processing at the time of creation, a crucial distinction exists between the two in terms of intelligence and computing power.
Fog computing places greater emphasis on intelligence within the local area network (LAN) environment. In this architecture, data originating from endpoints is transmitted to a gateway, which subsequently routes it to appropriate sources for processing. The processed data is then returned to the transmission path. Conversely, cloud networks prioritize computing power and data processing at the edge of the network. This entails performing computational tasks on embedded computing platforms that interface with sensors and controllers.
By deploying fog computing, organizations can leverage local intelligence within their LAN, facilitating efficient and localized processing of data. This approach is particularly beneficial in scenarios where real-time responsiveness, low latency, and optimized resource utilization are critical factors. On the other hand, cloud networks excel in providing substantial computing power and enabling data processing on a broader scale, with a focus on centralized cloud-based infrastructure.
Key takeaways:
The emergence of edge computing is poised to have a substantial and far-reaching influence on various industries. While certain verticals have already experienced the initial effects of this transformative technology, others are expected to be slower in adopting edge computing solutions. Understanding this disparity in adoption readiness is crucial for operators seeking to capitalize on the edge computing opportunity and expand revenue streams beyond core connectivity offerings.
The advancements in edge computing, characterized by reduced latency, improved reliability, enhanced security, and increased mobility, unlock a plethora of new use cases across various industries. One prominent example lies in the realm of security solutions, where the deployment of edge computing infrastructure enables video ingest and analytics at the network edge, leading to significant impacts.
As the prevalence of video surveillance continues to rise, there is a corresponding surge in data volumes generated by the growing number of cameras and the improved quality of video recordings. Edge computing effectively addresses the challenge posed by the escalating data volumes by decentralizing traffic and analysis, enabling on-site processing in real-time for monitoring purposes or triggering alarms.
The latency requirements for real-time processing make it impractical to rely solely on cloud-based solutions. By leveraging edge computing, the necessary functionalities can be performed locally at the network edge, ensuring minimal latency and immediate response. Additionally, conducting these operations at the edge enhances data security, as sensitive information is processed and stored closer to its source, reducing the risk associated with transmitting data to a centralized cloud infrastructure.
Thus, edge computing plays a vital role in meeting the demands of processing and analyzing video data, offering improved security, lower latency, and real-time insights for effective monitoring and alarm triggering in the face of growing data volumes and evolving surveillance requirements.
Telcos can assess potential target verticals for edge computing solutions based on various metrics to determine the most attractive opportunities. Here are several key metrics that telcos could consider.
Indeed, the contribution of an industry to the GDP of a country (or countries) where a telco operates can serve as a useful indicator of its ability and willingness to invest in digital solutions. When telcos consider offering edge computing solutions, the financial aspect plays a crucial role, as significant investments are required. Evaluating the target verticals spending capacity becomes essential for telcos aiming to maximize return on investment (ROI).
Industries that make a substantial contribution to a countrys GDP often possess greater financial resources and a stronger appetite for digital transformation. These industries are more likely to prioritize and allocate budget towards innovative solutions such as edge computing. By targeting verticals with a higher GDP contribution, telcos increase their chances of engaging with industries that are financially capable and inclined to invest in digital advancements.
Using GDP as a proxy for spending capacity provides a useful framework for telcos to assess the potential ROI of their edge computing offerings. It helps identify verticals where the likelihood of securing investment and achieving revenue growth is higher, aligning with the telcos strategic objectives and financial sustainability.
IIoT and edge computing are gaining traction in many industries
Telcos venturing into offering verticalized edge solutions must possess a solid comprehension of the pain points faced by enterprise customers in the present context. Additionally, establishing strong anchor customers with whom they can collaborate to test and develop new solutions becomes crucial. Leveraging existing industry expertise and relationships serves as a valuable starting point for telcos in this endeavor.
For instance, TELUS, with its strong vertical focus on healthcare through TELUS Health, can leverage its industry knowledge and relationships to explore an edge-enabled approach within the healthcare sector. By understanding the specific challenges faced by healthcare organizations, TELUS can tailor edge computing solutions to address their pain points and provide enhanced services and experiences.
Similarly, Verizon, known for its strong vertical presence in the transportation industry through Verizon Connect, can leverage its expertise to pursue edge-enabled opportunities within the transport sector. Building upon their existing industry relationships and understanding the unique requirements of the transportation industry, Verizon can develop and deploy edge computing solutions that cater to the specific needs of transportation companies.
Industries that have reached a higher level of digital maturity are more likely to adopt edge computing-enabled solutions earlier. This is because certain prerequisites, such as having operational data stored in a database rather than manually recorded, are necessary for edge solutions to deliver value. Several indicators can be used to measure digital maturity, including digital spending, the level of digitization in business processes, and the extent of work digitization.
By focusing on industries that are already digitally mature, telcos can strategically target their efforts towards sectors that are better prepared for the adoption of edge computing. Leveraging the existing digital infrastructure and capabilities of these industries, telcos can position themselves as partners in their digital transformation journey, offering tailored edge computing solutions to further enhance operational efficiency, data analytics, and real-time decision-making.
10 edge computing innovators to keep an eye on in 2023
When telcos aim to offer verticalized edge solutions, it is crucial for them to assess enterprise verticals based on various factors in order to determine the optimal target. By evaluating these factors, telcos can make informed decisions and identify the right verticals to focus their efforts on. Here are some key factors to consider:
Key takeaways:
Embracing the boundless possibilities of edge computing, telcos embark on a remarkable journey to weave a tapestry of technological marvels across industries. With an astute understanding of enterprise pain points and a collaborative spirit, telcos forge strong alliances with anchor customers, together venturing into uncharted territories of innovation. Guided by their industry expertise, telcos sculpt tailored edge solutions that seamlessly address challenges, empower businesses, and create transformative experiences.
Like a virtuoso conductor, telcos orchestrate the symphony of edge computing impact, harmonizing connectivity, speed, and intelligence. Through this technological symposium, industries witness a metamorphosis, transcending limitations and unleashing unprecedented possibilities. With each interaction, edge computings influence radiates, amplifying the pulse of real-time analytics, unlocking the gates to low latency, and defying the constraints of conventional computing.
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Edge Computing Impact: What Does It Do? - Dataconomy