Edge AI Hardware Market with COVID-19 Impact Analysis by Device, Processor, End User, Function, Power, and Region

Dublin, September 30, 2021 (GLOBE NEWSWIRE) – The “Global Market for Advanced AI Hardware with COVID-19 Impact Analysis by Device, Processor (CPU, GPU, ASIC), End User, Function (Training, Inference ), wattage (Less than 1W, 1-3 W, 3-5 W, 5-10W, More than 10W) ​​and the Region – Forecast to 2026 “report has been added to ResearchAndMarkets.com offer.

The global artificial intelligence hardware market is expected to grow from 920 million units in 2021 to 2,080 million units by 2026; it is expected to grow at a CAGR of 17.7% from 2021 to 2026.

Key factors contributing to market growth include growing demand for low latency and real-time processing on edge devices, emergence of AI coprocessors for edge computing, reduction in storage of data and operating costs, increasing business workloads on the cloud and rapidly growing number of intelligent applications.

Wearable Devices Market in Advanced Artificial Intelligence Hardware Market May Grow At Highest CAGR During Forecast Period

The wearables segment could experience rapid growth during the forecast period. This high growth rate could be attributed to the increase in functionality among portable devices. Wearable devices are getting smarter and the inclusion of advanced AI and computing could further enhance their capabilities.

The consumer electronics market is estimated to account for the largest share during the forecast period in the advanced AI hardware market

The consumer electronics segment holds a significant share in terms of volume. This is due to increasing consumer spending and demand for consumer electronics. The demand for smartphones, connected objects and other devices is growing strongly. Moreover, the innovation and development of new advanced AI use cases could lead to strong growth of consumer electronics in the advanced AI hardware market.

Edge AI Hardware Market in APAC Expected to See Robust Growth During 2021-2026

In APAC, China is the largest market for artificial intelligence, followed by Japan; this makes the region an attractive market for advanced AI hardware applications. The presence of a large number of manufacturing companies, along with the strong presence of automotive, electronics and semiconductor companies, in China and Japan, are driving the growth of the advanced AI hardware market in APAC.

Applications such as smartphones, industrial robots and automobiles have enormous potential. With the increasing penetration of smartphones in China, Japan, India and South Korea, the adoption of smartphones with AI processor in APAC is expected to increase in the coming years. APAC is also one of the largest markets for industrial robots, surveillance cameras and portable devices, which are integrated with vision processing units to speed up AI tasks.

Main topics covered:

1. Introduction

2 Research methodology

3 Executive summary

4 premium information
4.1 Brief market overview
4.2 Market, by device
4.3 Market, by end user
4.4 Market, by function
4.5 Geographic Overview of the Market, 2021-2026

5 Market overview
5.1 Presentation
5.2 Market dynamics
5.2.1 Drivers Growing demand for low latency and real-time processing on edge devices Emergence of AI coprocessors for Edge Computing Reduction of data storage and exploitation costs Increasing enterprise cloud workloads Rapid growth in the number of smart applications
5.2.2 Constraints Limited training on the device Limited number of AI experts
5.2.3 Opportunities Dedicated AI processors for on-device image analysis Demand Growth for Edge Computing in IoT Emergence of the 5G network to bring IT and telecoms closer together
5.2.4 Challenges Energy consumption and size constraint Edge AI standards optimization
5.3 Evolution
5.4 AI Edge Market Ecosystem
5.5 Edge AI Hardware Market: Impact of COVID-19
5.6 Analysis of the case studies
5.6.1 Use case 1: Creating Motion Intelligence with Imagimob’s Sensorbeat AI solution
5.6.2 Use case 2: Using Imagimob’s Sensorbeat AI software for predictive maintenance in manufacturing
5.6.3 Use case 3: Using Anagog Jedai 4.0 to personalize the banking experience
5.6.4 Use case 4: Use of Eurotech’s high-performance on-board computing (HPEC) systems for autonomous driving
5.6.5 Use Case 5: Using Bytelake Edge AI Starter Kit for Retail Grocery Detection
5.6.6 Use Case 6: Using Bytelake Edge AI Starter Kit for Traffic Analysis Using CCTV
5.7 Value chain analysis
5.8 Price analysis
5.9 Technology analysis
5.9.1 Edge AI and Internet of Things (IoT)
5.9.2 Edge AI and 5G
5.9.3 Edge AI and blockchain
5.10 Porter’s five forces analysis
5.11 Patent analysis
5.12 Pricing and regulatory landscape
5.13 Revenue Shift and New Revenue Pockets for Edge AI Hardware Market
5.14 Business analysis

6 Edge AI Hardware Market, By Device
6.1 Presentation
6.2 Smartphones
6.2.1 Smartphones To Dominate The Market During The Forecast Period
6.3 Surveillance cameras
6.3.1 Public safety will be a major application of AI-based cameras
6.4 Robots
6.4.1 Robotics is one of the fastest growing markets for Edge AI hardware
6.5 Portable devices
6.5.1 Eyewear is expected to be a major market for Edge AI hardware in wearable devices
6.6 Edge Servers
6.6.1 AI Edge Servers Have Significant Growth Opportunities in Enterprise and Industry Sector
6.7 Smart speakers
6.7.1 Smart speakers are now used to control smart home products
6.8 Automotive
6.8.1 Semi-autonomous and autonomous vehicles to stimulate the automotive market
6.9 Smart mirrors
6.9.1 Retail will be a major industry for smart mirrors

7 Edge AI Hardware Market, By Power Consumption
7.1 Presentation
7.2 Less than 1W
7.2.1 Portable devices are expected to be the main contributors to the market for less than 1W of power consumption
7.3 1-3W
7.3.1 Smartphones will dominate the Edge AI hardware market for 1-3W
7.4 3-5W
7.4.1 Smart speakers are expected to dominate the market for 3 to 5 W
7.5 5-10W
7.5.1 Surveillance cameras and drones are expected to be major market contributors for 5-10W
7.6 More than 10W
7.6.1 Automobile is expected to grow at the highest market rate for 5-10W

8 Edge AI Hardware Market, per processor
8.1 Presentation
8.2 Processor
8.2.1 CPU to hold the largest market share for processors
8.3 GPU
8.3.1 Automotive and robotics will be major markets for GPUs
8.4 ASIC
8.4.1 CPU to be replaced by ASIC for AI-based applications
8.5 Others

9 Edge AI Hardware Market, by function
9.1 Presentation
9.2 Training
9.2.1 Training is mainly done in the cloud
9.3 Inference
9.3.1 Development of efficient processors to drive the market for edge inference

10 Edge AI Hardware Market, By End User
10.1 Presentation
10.2 Consumer electronics
10.2.1 Smartphones are major contributors to the consumer electronics market
10.2.2 Smartphones
10.2.3 Portable devices
10.2.4 Entertainment robots
10.3 Smart home
10.3.1 Smart speakers are major contributors of Edge AI hardware in smart homes
10.3.2 Smart speakers
10.3.3 Smart cameras
10.3.4 Domestic robots
10.4 Automotive and transport
10.4.1 Vehicle license plate recognition, vehicle count and vehicle recognition are the main applications of cameras in automotive
10.4.2 Automotive
10.4.3 Surveillance cameras
10.4.4 Logistics robots
10.5 Government
10.5.1 Surveillance cameras will be the main contributors of Edge AI hardware in governments
10.5.2 Surveillance cameras
10.5.3 Drones
10.6 Health
10.6.1 Wearable devices to dominate the healthcare market
10.6.2 Medical robots
10.6.3 Portable devices
10.7 Industrial
10.7.1 Machine Vision is Expected to Drive Edge AI Hardware Market in Industrial Sector
10.7.2 Industrial robots
10.7.3 Drones
10.7.4 Cameras
10.8 Aerospace and defense
10.8.1 Service Robots to Boost Aerospace Industry Market
10.9 Building
10.9.1 Drones to stimulate the market in the construction industry
10.9.2 Service robots
10.9.3 Drones
10.10 Others
10.10.1 Surveillance cameras
10.10.2 Robotics
10.10.3 Portable devices
10.10.4 Smart mirrors

11 Geographic analysis

12 Competitive landscape
12.1 Presentation
12.2 Market Share Analysis, 2020
12.2.1 Market share by device type
12.3 Revenue analysis
12.4 Mapping Competitive Leadership
12.4.1 Stars
12.4.2 Invasive players
12.4.3 Emerging leaders
12.4.4 Participants
12.5 SME assessment quadrant
12.5.1 Progressive companies
12.5.2 Responsive companies
12.5.3 Dynamic businesses
12.5.4 Starting blocks
12.6 Competitive situations and trends
12.6.1 Product launches
12.6.2 Offers

13 company profiles
13.1 Presentation
13.2 Key players
13.2.1 Intelligence
13.2.2 Nvidia
13.2.3 Qualcomm Technologies
13.2.4 Huawei Technologies Co. Ltd.
13.2.5 Samsung Electronics
13.2.6 IBM
13.2.7 Micron technology
13.2.8 Xilinx
13.2.9 AMD
13.2.10 Google
13.2.11 Microsoft
13.3 Other players
13.3.1 Technologies of the imagination
13.3.2 Cambricon Technologies
13.3.3 Tensorrent
13.3.4 Blaize
13.3.5 General vision
13.3.6 Mythic
13.3.7 Adapteva inc.
13.3.8 Media library
13.3.9 Applied Brain Research
13.3.10 Robotics Horizon
13.3.11 Ceva
13.3.12 Graphcore
13.3.13 Sambanova
13.3.14 Halio
13.3.15 Veridify Security Inc.

14 Annex

For more information on this report, visit https://www.researchandmarkets.com/r/g4wxyl

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