Global Edge Ai Hardware Market
Market Size in USD Billion
CAGR :
% 
 Forecast Period |
2023 –2030 |
 Market Size (Base Year) |
USD 744.03 Million |
 Market Size (Forecast Year) |
USD 4,030.32 Million |
 CAGR |
% |
| Major Markets Players |
|
Global Edge Artificial Intelligence (AI) Hardware Market, By Device (Smartphones, Cameras, Robots, Wearable, Smart Speaker, Automotive, Smart Mirror), Processors (Central Processing Unit (CPU), Graphics Processing Unit (GPU), Application-Specific Integrated Circuit (ASIC) and Others), Power Consumption (Less than 1W, 1-3W, 3-5W, 5-10W, More than 10W), Process (Training, Inference), End User Industry (Consumer Electronics, Smart Home, Automotive and Transportation, Government, Healthcare, Industrial, Aerospace and Defence, Construction, Others) - Industry Trends and Forecast to 2030.
Edge Artificial Intelligence (AI) Hardware Market Analysis and Size
Artificial Intelligence has witnessed tremendous growth and development in past years and will be even more widespread in a couple of brief years. Edge artificial intelligence (AI) hardware makes the world of artificial intelligence optimized and more streamlined. It is considered an effective approach for companies to analyze the data in less time or based on real-time.
Data Bridge Market Research analyses that the global edge artificial intelligence (AI) hardware market is valued at USD 744.03 million in 2022 and is expected to reach USD 4030.32 million by 2030, registering a CAGR of 20.84% during the forecast period of 2023-2030. “Consumer Electronics “account for the largest end user industry segment in the respective market owing to the rising consumer spending and demand for consumer electronics. In addition to the insights on market scenarios such as market value, growth rate, segmentation, geographical coverage, and major players, the market reports curated by the Data Bridge Market Research also include depth expert analysis, , pricing analysis, and regulatory framework.
Edge Artificial Intelligence (AI) Hardware Market Scope and Segmentation
|
Report Metric |
Details |
|
Forecast Period |
2023 to 2030 |
|
Base Year |
2022 |
|
Historic Years |
2021 (Customizable to 2015-2020) |
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Quantitative Units |
Revenue in USD Million, Volumes in Units, Pricing in USD |
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Segments Covered |
Device (Smartphone, Cameras, Robots, Wearable, Smart Speaker, Automotive, Smart Mirror), Processors (Central Processing Unit (CPU), Graphics Processing Unit (GPU), Application-Specific Integrated Circuit (ASIC) and Others), Power Consumption (Less than 1W, 1-3W, 3-5W, 5-10W, More than 10W), Process (Training, Inference), End User Industry (Consumer Electronics, Smart Home, Automotive and Transportation, Government, Healthcare, Industrial, Aerospace and Defence, Construction, Others) |
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Countries Covered |
U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of the Middle East and Africa |
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Market Players Covered |
Cisco (U.S.), IBM (U.S.), Intel Corporation (U.S.), SAMSUNG (South Korea), Google (U.S.), Microsoft (U.S.), Micron Technology, Inc (U.S.), NVIDIA Corporation (U.S.), Oracle (U.S.), Arm Limited (UK), Xilinx (U.S.), Advanced Micro Devices, Inc (U.S.), Dell (U.S.), Hewlett Packard Enterprises Development LP (U.S.), Habana Labs Ltd (U.S.), Facebook, Inc (U.S.), Synopsys, Inc (U.S.), Nutanix (U.S.), Pure Storage, Inc (U.S.), Amazon Web Services, Inc (U.S.) |
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Market Opportunities |
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Market Definition
The edge AI hardware is a set of devices and equipment that are used to process and power artificial intelligent-based robots and devices. These devices and equipment are used to integrate and improve the processing of artificial intelligence devices by processing the data in the device itself. And no cloud computing of cloud systems is required in this process. This ability makes the devices take independent decisions.
Global Edge Artificial Intelligence (AI) Hardware Market Dynamics
Drivers
- Rise in Awareness regarding Artificial Intelligence (AI)
The increase in awareness regarding the incorporation of artificial intelligence (AI) into business processes among enterprises is one of the major factors driving the edge artificial intelligence (AI) hardware market. This technology enhances operational efficiency while reducing costs through automation of process flows.
- Emergence of AI Coprocessors
The rise in the emergence of AI coprocessors for edge computing along with an increase in IoT application by various end user industries such as consumer electronics and automotive, among others, accelerate the market growth.
- Increase in Number of AI Devices
The surge in the number of edge AI devices across businesses across the globe to decline operational costs in critical cases further influence the market. The increase in demand for edge artificial intelligence (AI) hardware to perform AI inference without having to transfer the data assist in the expansion of the market.
Additionally, rapid urbanization, change in lifestyle, surge in investments and increased consumer spending positively impact the edge artificial intelligence (AI) hardware market.
Opportunities
- Dedicated AI processors for on-device image analytics
Furthermore, dedicated AI processors for on-device image analytics and emergence of the 5G network to bring IT and telecom together extend profitable opportunities to the market players in the forecast period of 2023 to 2030. The increase in demand for edge computing in IoT will further expand the market.
Restraints/Challenges
- , Limited On-Device Training And Limited Number of AI Experts
On the other hand, limited on-device training and limited number of AI experts are expected to obstruct market growth. Also, high power consumption and size constraint, and issues with optimization of edge AI standards are projected to challenge the edge artificial intelligence (AI) hardware market in the forecast period of 2023-2030.
This global edge artificial intelligence (AI) hardware market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, the impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on the variable frequency drive market contact the Data Bridge Market Research for an Analyst Brief, our team will help you make an informed market decision to achieve market growth.
Recent Development
- Intel unveiled its 3rd Gen Intel Xeon Scalable processor in April’2021. This processor aims to provide a balanced architecture with built-in artificial intelligence, advanced security capabilities and crypto acceleration
- Hyundai Motor joined hands with NVIDIA in November’2020 to utilize NVIDIA DRIVE infotainment and AI platforms for its future Kia, Hyundai, and Genesis models.
Global Edge Artificial Intelligence (AI) Hardware Market Scope
The global edge artificial intelligence (AI) hardware market is segmented on the basis of device, processors, power consumption, and end user industry. The growth amongst these segments will help you analyze meager growth segments in the industries and provide the users with a valuable market overview and insights to help them make strategic decisions for identifying core market applications.
Device
- Smartphones
- Cameras
- Robots
- Wearable
- Smart Speaker
- Automotive Smart Mirror
Processors
- Central Processing Unit (CPU)
- Graphics Processing Unit (GPU)
- Application-Specific Integrated Circuit (ASIC)
- Others
Power Consumption
- Less than 1W
- 1-3W
- 3-5W
- 5-10W
- More than 10W
Process
- Training
- Inference
End User Industry
- Consumer Electronics
- Smartphones
- Wearable
- Entertainment Robots
- Smart Home
- Automotive and Transportation
- Government
- Healthcare
- Industrial
- Aerospace and Defence
- Construction
- Others
Global Edge Artificial Intelligence (AI) Hardware Market Country Analysis/Insights
The global edge artificial intelligence (AI) hardware market is analyzed and market size insights and trends are provided by country, device, processors, power consumption and end user industry as referred above.
The regions covered in the global edge artificial intelligence (AI) hardware market are North America, South America, Europe, Asia-Pacific, and the Middle East and Africa. The countries covered in the global edge artificial intelligence (AI) hardware market report are U.S., Canada, Mexico, Brazil, Argentina, the Rest of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of the Middle East and Africa.
North America is expected to dominate the edge artificial intelligence (AI) hardware market due to the high adoption rate of AI based servers and the presence of prominent AI technology providers within the region.
Asia-Pacific is expected to witness significant growth during the forecast period of 2023 to 2030 because of the construction of "new infrastructure" projects, such as 5G networks and data centers in the region.
The region section of the report also provides individual market-impacting factors and changes in regulation in the market domestically that impact the current and future trends of the market. Data points like downstream and upstream value chain analysis, technical trends, and Porter’s five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and the challenges faced due to large or scarce competition from local and domestic brands, the impact of domestic tariffs, and trade routes are considered while providing forecast analysis of the region data.
The global edge artificial intelligence (AI) hardware market also provides you with a detailed market analysis for every region’s growth in AI sector for capital equipment, installed base of different kinds of products for the global edge artificial intelligence (AI) hardware market, the impact of technology using lifeline curves, and changes in battery regulatory scenarios and their impact on the variable frequency drive market. The data is available for the historic period 2010-2020.
Competitive Landscape and Global Edge Artificial Intelligence (AI) Hardware Market Share Analysis
The global edge artificial intelligence (AI) hardware market competitive landscape provides details of competitors. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, and application dominance. The above data points provided are only related to the companies' focus related to the global edge artificial intelligence (AI) hardware market.
Some of the major players operating in the global edge artificial intelligence (AI) hardware market are:
- Cisco (U.S.)
- IBM (U.S.)
- Intel Corporation (U.S.)
- SAMSUNG (South Korea)
- Google (U.S.)
- Microsoft (U.S.)
- Micron Technology, Inc (U.S.)
- NVIDIA Corporation (U.S.)
- Oracle (U.S.)
- Arm Limited (UK)
- Xilinx (U.S.)
- Advanced Micro Devices, Inc (U.S.)
- Dell (U.S.)
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Research Methodology
Data collection and base year analysis are done using data collection modules with large sample sizes. The stage includes obtaining market information or related data through various sources and strategies. It includes examining and planning all the data acquired from the past in advance. It likewise envelops the examination of information inconsistencies seen across different information sources. The market data is analysed and estimated using market statistical and coherent models. Also, market share analysis and key trend analysis are the major success factors in the market report. To know more, please request an analyst call or drop down your inquiry.
The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market and primary (industry expert) validation. Data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Patent Analysis, Pricing Analysis, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.
Customization Available
Data Bridge Market Research is a leader in advanced formative research. We take pride in servicing our existing and new customers with data and analysis that match and suits their goal. The report can be customized to include price trend analysis of target brands understanding the market for additional countries (ask for the list of countries), clinical trial results data, literature review, refurbished market and product base analysis. Market analysis of target competitors can be analyzed from technology-based analysis to market portfolio strategies. We can add as many competitors that you require data about in the format and data style you are looking for. Our team of analysts can also provide you data in crude raw excel files pivot tables (Fact book) or can assist you in creating presentations from the data sets available in the report.
