Data Bridge Market Research in its report titled of Global Edge AI Hardware Market offers comprehensive insights and detailed research on this market. The report covers the key factors that are propelling the growth of the Edge AI Hardware market, untapped lucrative opportunities for manufacturers, latest trends and latest developments that are shaping the growth of the market and other valuable insights across different market segments.
Edge AI Hardware marketing report provides specific and up to date information about the consumers demands, their preferences, and ideas about the product and their varying likings about particular product. This helps to plan about the advertising and sales promotion strategy more successfully and also helps in taking sound decisions. The report represents a quality of market research data that has been accomplished with transparent research studies. With the proper and throughout utilization of excellent industry experience, talent solutions, industry insight and latest tools and technology, the report has been generated.
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Global Edge Artificial Intelligence (AI) Hardware Market was valued at USD 744.03 million in 2021 and is expected to reach USD 4030.32 million by 2029, registering a CAGR of 20.65% during the forecast period of 2022-2029. 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 market insights such as market value, growth rate, market segments, geographical coverage, market players, and market scenario, the market report curated by the Data Bridge Market Research team also includes in-depth expert analysis, import/export analysis, pricing analysis, production consumption analysis, and pestle analysis.
Edge Artificial Intelligence (AI) Hardware Market Dynamics
This section deals with understanding the market drivers, advantages, opportunities, restraints and challenges. All of this is discussed in detail as below:
Drivers
- Rise in Awareness regarding Artificial Intelligence (AI)
The increase in awareness regarding the incorporation of artificial intelligence (AI) into business processes among enterprises acts as one of the major factors driving the edge artificial intelligence (AI) hardware market. This technology enhances operational efficiency while reducing cost through automation of process flows.
- Emergence of AI Coprocessors
The rise in the emergence of AI coprocessors for edge computing along with 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
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 2022 to 2029. The increase in demand for edge computing in IoT will further expand the market.
Restraints/Challenges
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 2022-2029.
This 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, 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 edge artificial intelligence (AI) hardware market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
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Leading Key Players Operating in the Edge AI Hardware Market Includes:
Cisco (US), IBM (US), Intel Corporation (US), SAMSUNG (South Korea), Google (US), Microsoft (US), Micron Technology, Inc (US), NVIDIA Corporation (US), Oracle (US), Arm Limited (UK), Xilinx (US), Advanced Micro Devices, Inc (US), Dell (US), Hewlett Packard Enterprises Development LP (US), Habana Labs Ltd (US), Facebook, Inc (US), Synopsys, Inc (US), Nutanix (US), Pure Storage, Inc (US), Amazon Web Services, Inc (US), among others.
Recent Developments
- 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.
Key Market Segments:
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
- Smart Speaker
- Smart Camera
- Domestic Robots
- Automotive and Transportation
- Automobile
- Surveillance Camera
- Logistics Robots
- Government
- Surveillance Cameras
- Drones
- Healthcare
- Medical Robots
- Wearable
- Industrial
- Industrial Robots
- Drones
- Cameras
- Aerospace and Defence
- Service Robots
- Construction
- Service Robots
- Drones
- Others
- Surveillance Camera
- Robots
- Wearable
- Smart Mirror
New Business Strategies, Challenges & Policies are mentioned in Table of Content, Request TOC @ https://www.databridgemarketresearch.com/toc/?dbmr=global-edge-ai-hardware-market
Edge AI Hardware Market Regional Analysis/Insights
The countries covered in the Edge AI Hardware market report are U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, France, Italy, U.K., Belgium, Spain, Russia, Turkey, Netherlands, Switzerland, Rest of Europe, Japan, China, India, South Korea, Australia and New Zealand, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, United Arab Emirate, Saudi Arabia, Egypt, Israel, South Africa, Rest of Middle East and Africa.
The country section of the report also provides individual market impacting factors and changes in market regulation that impact the current and future trends of the market. Data points like down-stream 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 their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.
Key questions answered in the report:
- Which are the five top players of the Edge AI Hardware market?
- How will the Edge AI Hardware market change in the next five years?
- Which product and application will take a lion’s share of the Edge AI Hardware market?
- What are the drivers and restraints of the Edge AI Hardware market?
- Which regional market will show the highest growth?
- What will be the CAGR and size of the Edge AI Hardware market throughout the forecast period?
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