Artificial Intelligence
Rising at 20.2% CAGR, Edge AI Hardware Market Size to Exceed 2160 Million Units by 2026: Facts & Factors
New York, NY, March 11, 2021 (GLOBE NEWSWIRE) — Facts and Factors have published a new research report titled “Edge AI Hardware Market by Device (Smartphones, Cameras, Robots, Automobile, Smart Speakers, Wearable, and Smart Mirror) by Processor (CPU, GPU, ASIC, others) by Power Consumption (Less Than 1 W, 1–3 W, 3–5 W, 5–10 W, and More Than 10 W) by Process (Training, and Interface), and Application (Consumer Electronics, Smart Home, Automotive & Transportation, Government, Healthcare, Industrial, Aerospace & Defense, Construction, and Others): Global Industry Outlook, Market Size, Business Intelligence, Consumer Preferences, Statistical Surveys, Comprehensive Analysis, Historical Developments, Current Trends, and Forecasts, 2020–2026”.
“According to the research report, the global Edge AI Hardware Market was estimated at 594 Million Units in 2019 and is expected to reach 2160 Million Units by 2026. The global Edge AI Hardware Market is expected to grow at a compound annual growth rate (CAGR) of 20.2% from 2019 to 2026”.
Edge is where the data exist and is collected. It enables us to connect in real-time with the customers anywhere. Edge AI is referred to as AI algorithms that are processed on hardware devices locally. For instance, the iPhone has the facility to recognize and register the user’s face to unlock the phone in a fraction of time. In addition, Edge AI offers better solutions to prevalent problems such as latency. The real-time insights and low latency enable in development of better customer experiences.
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1) What was the impact of COVID-19 on the Edge AI Hardware Market?
2) What is the market size, share of the Edge AI Hardware Market?
3) Who are the top market players in Edge AI Hardware Market? 4) What will be the future market of the Edge AI Hardware Market?
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Impact Analysis of COVID-19 Pandemic on Businesses: Know Short Term and Long Term Impact
Most of the businesses are facing a growing litany of business-critical concerns related to the coronavirus outbreak, including supply chain disruptions, a risk of a recession, and a potential drop in consumer spending. All these scenarios will play out differently across various regions and industries, making accurate and timely market research more essential than ever. We at Facts and Factors (http://www.fnfresearch.com) understand how difficult it is for you to plan, strategize, or make business decisions, and as such, we have your back to support you in these uncertain times with our research insights. Our team of consultants, analysts, and experts has developed an analytical model tool for markets that helps us to assess the impact of the virus more effectively on the industrial markets. We are further implementing these insights into our reports for a better understanding of our clients.
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The global edge AI market is primarily driven by increasing demand for real-time processing and low latency on edge devices along with the availability of power-efficient chipsets in the global market. In addition, a reduction in operation cost and data storage is also expected to boost the market in the near future. On a contrary, increasing security concerns related to personal data is expected to hinder the growth of the market. Nonetheless, the rising demand for edge computing in IoT is estimated to open new alluring opportunities in the market over the projected period.
Industry Major Market Players
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The global edge AI market is segmented on the basis of device, processor, end-user, and region. On the basis of the device, the market is segmented into smartphones, cameras, robots, automobiles, smart speakers, wearable, and smart mirrors. The camera is expected to grow at a higher CAGR over the projected period, owing to its central part of several smart devices with smart functions, Wi-Fi support, high speed, and increased performance over the years. However, standalone smart devices cameras that comprise VPU (vision processing units) which enable offering power-efficient solutions for artificial intelligence are also developing their existence in the market. On the basis of the processor, the market is bifurcated into CPU, GPU, ASIC, and others. The power consumption of edge AI hardware devices is less Than 1 W, 1–3 W, 3–5 W, 5–10 W, and more than 10 W. By process, the market is divided into training and interface. Consumer electronics, automotive & transportation smart homes, government, healthcare, industrial, aerospace &defense, construction, and others are the end-users for the market. The report study further includes an in-depth analysis of industry players’ market shares and provides an overview of leading players’ market position in the Edge AI Hardware sector. Key strategic developments in the Edge AI Hardware market competitive landscape such as acquisitions & mergers, inaugurations of different products and services, partnerships & joint ventures, MoU agreements, VC & funding activities, R&D activities, and geographic expansion among other noteworthy activities by key players of the Edge AI Hardware market are appropriately highlighted in the report.
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Increasing adoption of edge AI hardware devices such as smart cameras by governmental bodies in order to control criminal activities and natural calamities are expected to drive the growth of the global edge AI hardware market in the coming years. In addition, the development of reliable cloud computing infrastructure and advancements in artificial intelligence solutions is also expected to drive the growth of the market. On a contrary, the lack of a trained and skilled workforce in context is estimated to hamper the growth of the market in the near future. Nonetheless, the growing demand for the development of human-aware AI systems is expected to open new opportunities in the global edge AI hardware market.
The Edge AI Hardware market research report delivers an acutevaluationand taxonomy of the Edge AI Hardware industry by practically splitting the market on the basis of different devices, processors, power consumption, process, applications, and regions. Through the analysis of the historical and projected trends, all the segments and sub-segments were evaluated through the bottom-up approach, and different market sizes have been projected for FY 2020 to FY 2026.
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On the basis of the device, the global edge AI hardware market is divided into smartphones, cameras, robots, automobiles, smart speakers, wearable, and smart mirrors. By processor, the market is segmented into CPU, GPU, ASIC, and others. On the basis of power consumption, the market is segregated into less than 1 W, 1–3 W, 3–5 W, 5–10 W, and more than 10 W. By process, the market is classified into training and interface. Consumer electronics smart home, automotive & transportation, government, healthcare, industrial, aerospace & defense, construction, and others are the end-users for the market.
North America held the largest market share in 2018, owing to the strong presence of IT giants such as Microsoft, IBM, Google, and AWS which contributes to offering AI platforms to various industries in the region. In addition, the rising number of and growing dependency on IoT devices also expected to fuel the growth of the market in this region. Europe is estimated to witness significant growth in the market over the expected period, owing to a growing number of IT start-ups that offer AI platforms in the region. Asia Pacific is expected to be the fastest-growing region over the estimated time, due to the increasing adoption of artificial intelligence solutions and IT infrastructure by the small and medium-sized enterprises in the region.
Browse the full “Edge AI Hardware Market by Device (Smartphones, Cameras, Robots, Automobile, Smart Speakers, Wearable, and Smart Mirror) by Processor (CPU, GPU, ASIC, others) by Power Consumption (Less Than 1 W, 1–3 W, 3–5 W, 5–10 W, and More Than 10 W) by Process (Training, and Interface), and Application (Consumer Electronics, Smart Home, Automotive & Transportation, Government, Healthcare, Industrial, Aerospace & Defense, Construction, and Others): Global Industry Outlook, Market Size, Business Intelligence, Consumer Preferences, Statistical Surveys, Comprehensive Analysis, Historical Developments, Current Trends, and Forecasts, 2020–2026” report at https://www.fnfresearch.com/edge-ai-hardware-market-by-device-smartphones-cameras-642
Key Insights from Primary Research This report segments the Edge AI Hardware market as follows:
Global Edge AI Hardware Market: By Device Segmentation Analysis
Global Edge AI Hardware Market: By Processor Segmentation Analysis
Global Edge AI Hardware Market: By Power Consumption Segmentation Analysis
Global Edge AI Hardware Market: By Process Segmentation Analysis
Global Edge AI Hardware Market: By Applications Segmentation Analysis
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Artificial Intelligence
Kazakhstan Government Delegation Visited SUPCON
HANGZHOU, China, Sept. 29, 2024 /PRNewswire/ — On September 26, a delegation from the Ministry of Digital Development, Innovations and Aerospace Industry of the Republic of Kazakhstan, led by Minister Madiyev Zhaslan, visited SUPCON. SUPCON’s Chairman and President, Mr.Cui Shan, warmly welcomed the delegation.
The Kazakhstan government representatives expressed their appreciation and recognition of SUPCON’s expertise and innovation in intelligent manufacturing, digital transformation, and industrial AI.
Madiyev Zhaslan expressed a strong interest in industrial AI technologies of SUPCON, particularly their applications in intelligent and low-carbon facilities. He looks forward to exploring extensive collaboration with SUPCON across various sectors in Kazakhstan.
Cui Shan emphasized that as a leading industrial AI company with a global presence, SUPCON will leverage its technological advantages to meet Kazakhstan’s industry development requirements and trends, injecting new momentum into the country’s industrial digitalization.
In 2023, SUPCON established a subsidiary in Kazakhstan as its Central Asia regional headquarters and set up a localized operational system. SUPCON will continue to invest in the long-term development of the Central Asia region, contributing further wisdom and strength to the industrial digital transformation in Kazakhstan and beyond.
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Artificial Intelligence
Huawei Peer-Recognized as a 2024 Gartner® Peer Insights™ Customers’ Choice for Enterprise Wired and Wireless LAN Infrastructure
SHENZHEN, China, Sept. 29, 2024 /PRNewswire/ — On September 24, 2024, Huawei announced that it has been peer-recognized a 2024 Gartner® Peer Insights™ Customers’ Choice in the Voice of the Customer for Enterprise Wired and Wireless LAN Infrastructure thanks to its Xinghe Intelligent Campus offerings. This marks the fifth year in a row that Huawei has received this distinction. Notably, Huawei receives Customers’ Choice distinctions in four of the six customer segments: Midsize Enterprise (50M – 1B USD); Public Sector, Government and Education; Asia/Pacific; and Europe, the Middle East and Africa.
As of June 30, 2024, customers across diverse sectors — including manufacturing, IT services, education, and telecommunication — have reviewed Huawei’s complete Xinghe Intelligent Campus offerings on the Gartner Peer Insights platform. We believe their impressive feedback showed global recognition of Huawei from the industry influence, deployment scales, and mature commercial use perspectives.
“We’re thrilled to be named a Gartner® Peer Insights™ Customers’ Choice for Enterprise Wired and Wireless LAN Infrastructure again,” said Shawn Zhao, President of Huawei’s Campus Network Domain. “Recently, Huawei launched the newly upgraded Xinghe Intelligent Campus that takes wireless, application, and O&M experience to new levels with AI technologies, ultimately accelerating the digital transformation of enterprises.”
Looking ahead, Huawei will further innovate Xinghe Intelligent Campus offerings from wireless, application, and O&M experience upgrade perspectives, helping all industries stride to the future of experience-centric intelligent campus networks.
For more about Gartner® Peer Insights™ Customers’ Choice, visit: https://www.gartner.com/reviews/market/enterprise-wired-wireless-lan-access-infrastructure
Disclaimer:
Gartner, Voice of the Customer for Enterprise Wired and Wireless LAN Infrastructure, Peer Contributors, 12 September 2024
Gartner, Peer Insights, Magic Quadrant and Customers’ Choice badge are trademarks of Gartner, Inc. and/or its affiliates. All rights reserved. Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
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Artificial Intelligence
Huawei Wen Tong: 6G Needs to Embrace AI for Shaping Future Network
SHENZHEN, China, Sept. 29, 2024 /PRNewswire/ — At the 6G Conference held in Istanbul, on September 24, 2024, Dr. Wen Tong, Huawei Wireless CTO, delivered a keynote speech on 6G standardization and innovation. With the release of the ITU-R 6G vision framework, the 3GPP will start 6G standardization in 2025. “6G is a new generation of mobile technology, not a simple upgrade of 5G, it should bring new value to users,” said Dr. Tong, “6G is a true intergenerational technological disruption. 6G standard, key technologies, and network architecture should be re-defined based on application scenarios and requirements from 2030 to 2040. 6G should not be another way to implement 5G. Instead, 6G should embrace the AI revolution with a quantum leap and generate new values for the consumers. In this way, 3GPP standards can truly realize the 6G vision and create greater value for the entire industry.”
Centered “6G Standardization Direction” and “6G Innovation Driving Force”, Dr. Tong shared important views on the future architecture, terminal development, and key technologies of 6G.
In terms of architecture design, 6G should go beyond Service-Based Architecture and move towards Application-Driven Network.
5G has already achieved market success and continues to evolve towards 5G-Advanced. 6G will not simply reuse 5G network architecture, without generational and fundamental innovations, which will limit the mobile industry’s aspiration and imagination to dive the innovation in the 6G era. 6G must have obvious cross-generational characteristics and technical breakpoint.
On the core side, reusing the 5G core network will hinder the innovation in AI. We should use Agentic-AI based technology to re-architect 6G Core that goes beyond 5G Service-Based Architecture and support the foundational capabilities of AI, Sensing and NTN , and thus evolve towards the Application Driven Network .
In terms of terminal evolution, 6G user device calls for a breakthrough to lead the success of the entire industry chain.
It is the law of the mobile industry to drive the evolution of the market with the pioneering technology. The 6G networks and 6G terminals must meet the requirements of consumers and vertical industries in the 6G market phase from 2030 to 2040.
Currently, smartphones are evolving to AI terminals to usher in the mobile AI era. In post-MBB era, breakthroughs in terminal technologies will be the key to the evolution of the mobile industry. Therefore, 6G user device calls for a breakthrough towards “Full-AI”, thus to drive 6G network upgrade and the success of the entire industry ecosystem.
In terms of technology development, AI will become a key enabler for 6G with network paradigm shifting.
Twenty years ago, the Internet was the enabler of the technology innovations. Mobile communications embraced the Internet and achieved great business success. Today, AI maybe the disruptive enabler of the latest technology innovations.
6G should embrace the AI revolution with a quantum leap. However, 6G networks should not be limited to generative AI, Artificial General Intelligence (AGI) and Embodiment-AI are the main directions of future AI development. Therefore, AGI should run through the whole process of sensing, reasoning, decision, and action of terminals, wireless networks, and core networks of 6G, to welcome the arrival of a new network paradigm.
At the end, Dr. Tong Wen emphasized the relationship between 5G and 6G: “The global 5G deployment is on the rise and evolving to 5G-Advanced, which not only meets the current requirements of operators, but also protects their investment. Therefore, 6G technologies should not overlap with 5G in technologies and market space. The specifications, technologies, and architecture of 6G must be based on the scenarios and requirements from 2030 to 2040. We should focus on true generational technology disruption, embrace the new opportunities brought by AI, expand the mobile industry in the next generation.”
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