The edge AI hardware market is expected to register a shipment of 610 million units in 2019 and is likely to reach 1559.3 million units by 2024, at a CAGR of 20.64% during the forecast period.
Major drivers for the market's growth are growing demand for low latency and real-time processing on edge devices and emergence of AI coprocessors for edge computing. Further, underlying opportunities for the edge AI hardware market include growing demand for edge computing in IoT and dedicated AI processors for on-device image analytics. Major restraints for the market are limited on-device training and limited number of AI experts. Power consumption and size constraint pose major challenges to the edge AI hardware market.
"In Processors, ASIC is Expected to Grow at the Highest CAGR During the Forecast Period in Edge AI Hardware Market"
The edge artificial intelligence (AI) hardware market has been segmented on the basis of processors into central processing units (CPU), graphic processing unit (GPU), application-specific integrated circuits (ASICs), and others.
ASIC offers high speed as it is dedicated to performing one particular application only. ASIC offers a user-specific customized solution. An ASIC is dedicated to performing fixed operations extremely fast as the entire chip's logic area is dedicated to a set of narrow functions. Visual processing unit (VPU) is a class of processors that accelerates machine vision tasks. Image processing unit (IPU) is specially designed to support video and graphics processing functions, and interface with video and image sensors and displays. ASICs currently offered in the market include Intel Movidius VPUs and CEVA-XM4 imaging and computer vision processor.
"In Term of Processor Type, the Market for CPU is Expected to Hold the Largest Market Share by 2024 in the Edge AI Hardware Market"
The edge AI hardware market for CPU is expected to witness a shipment of 589 million units in 2019 and is likely to reach 1380 million units by 2024, at a higher CAGR during the forecast period. An MPU contains all, or most of, the CPU functions and is the "engine" that goes into motion when the computer is on. CPU is the most commonly used processor for on-device inference in smartphones, smart speakers, and wearables. CPUs used for edge AI in smartphones include a11 and a12 bionic chip from Apple, Snapdragon 845 and 855 from Qualcomm, Exynos 9820 from Samsung, and Kirin 980 from Huawei.
"In the Edge AI Hardware Market, APAC is Expected to Grow at the Highest CAGR During the Forecast Period"
This market is further divided into China, Japan, South Korea, and the Rest of APAC (RoAPAC). RoAPAC includes Singapore, Malaysia, Thailand, India, Australia, and New Zealand.
In APAC, China is the largest market for artificial intelligence, followed by Japan; this makes the region an attractive market for edge AI hardware applications. The presence of a large number of manufacturing companies, along with the strong presence of automobile and electronics and semiconductor companies, in China and Japan is driving the growth of the edge AI hardware market in APAC. Applications such as smartphones, industrial robots, and automotive have huge potential in APAC.
With the growing penetration of smartphones in China, Japan, India, and South Korea, the adoption of AI processor-enabled smartphones in APAC is expected to increase in the coming years. APAC is also one of the largest markets for industrial robots, surveillance cameras, and wearable devices, which are integrated with vision processing units to accelerate AI tasks.
Key Topics Covered:
2 Research Methodology
3 Executive Summary
4 Premium Insights
5 Market Overview 5.1 Introduction 5.2 Market Dynamics 5.2.1 Drivers 184.108.40.206 Growing Demand for Low Latency and Real-Time Processing on Edge Devices 220.127.116.11 Emergence of AI Coprocessors for Edge Computing 18.104.22.168 Reduction in Data Storage and Operations Cost 5.2.2 Restraints 22.214.171.124 Limited On-Device Training 126.96.36.199 Limited Number of AI Experts 5.2.3 Opportunities 188.8.131.52 Dedicated AI Processors for On-Device Image Analytics 184.108.40.206 Growing Demand for Edge Computing in Iot 5.2.4 Challenges 220.127.116.11 Power Consumption and Size Constraint
6 Edge AI Hardware Market, By Device 6.1 Introduction 6.2 Smartphones 6.2.1 Smartphones to Dominate Edge AI Hardware Market During the Forecast Period 6.3 Cameras 6.3.1 Surveillance Expected to Be A Major Application for AI Based Cameras 6.4 Robots 6.4.1 Robotics is One of the Fastest Growing Market for Edge AI Hardware 6.5 Wearables 6.5.1 Eye Wear Expected to Be Major Market Edhe AI Hardware in Wearables 6.6 Smart Speaker 6.6.1 Smart Speakers are Now Being Used to Control Smart Home Products 6.7 Automotive 6.7.1 Semi-Autonomous and Autonomous Vehicles to Drive Edhe AI Hardware Market for Automotive 6.8 Smart Mirror 6.8.1 Retail to Be A Major Industry for Smart Mirror
7 Edge AI Hardware Market, By Processors 7.1 Introduction 7.2 CPU 7.2.1 CPU to Hold Largest Share of Edge AI Hardware Market for Processors 7.3 GPU 7.3.1 Automotive and Robotics to Be Major Market for GPU 7.4 Asic 7.4.1 CPU to Be Replaced By Asic for AI Based Applications 7.5 Others
8 Edge AI Hardware Market, By Power Consumption 8.1 Introduction 8.2 Less Than 1 W 8.2.1 Wearables Expected to Be the Major Contributors of Edge AI Hardware Market for Less Than 1 W Power Consumption 8.3 1-3 W 8.3.1 Smartphones to Dominate Edge AI Hardware Market for 1-3 W 8.4 3-5 W 8.4.1 Smart Speakers Expected to Lead Edge AI Hardware Market for 3-5 W 8.5 5-10 W 8.5.1 Surveillance Cameras and Drones Expected to Be Major Contributors to the Edge AI Hardware Market for 5-10 W 8.6 More Than 10 W 8.6.1 Automobile Expected to Grow at Highest Rate in Edge AI Hardware Market for 5-10 W
9 Edge AI Hardware Market, By Process 9.1 Introduction 9.2 Training 9.2.1 Training is Mostly Done on Cloud 9.3 Inference 9.3.1 Development of Efficient Processors Driving Edge Inference Market
10 Edge AI Hardware Market, By End-User Industry 10.1 Introduction 10.2 Consumer Electronics 10.2.1 Smartphones 10.2.2 Wearables 10.2.3 Entertainment Robots 10.3 Smart Home 10.3.1 Smart Speaker 10.3.2 Smart Camera 10.3.3 Domestic Robots 10.4 Automotive & Transportation 10.4.1 Automobile 10.4.2 Surveillance Camera 10.4.3 Logistics Robots 10.5 Government 10.5.1 Surveillance Camera 10.5.2 Drones 10.6 Healthcare 10.6.1 Medical Robots 10.6.2 Wearables 10.7 Industrial 10.7.1 Industrial Robots 10.7.2 Drones 10.7.3 Cameras 10.8 Aerospace & Defense 10.8.1 Service Robots 10.9 Construction 10.9.1 Service Robots 10.9.2 Drones 10.10 Others 10.10.1 Surveillance Camera 10.10.2 Robots 10.10.3 Wearables 10.10.4 Smart Mirror
11 Geographic Analysis 11.1 Introduction 11.2 North America 11.2.1 US 18.104.22.168 US to Drive Edge AI Hardware Market in North America 11.2.2 Canada 22.214.171.124 Canada Holds Significant Opportunities for Edge AI Hardware Growth in North America 11.2.3 Mexico 126.96.36.199 Mexico to Exhibit Highest Growth in Edge AI Hardware Growth in North America 11.3 Europe 11.3.1 Germany 188.8.131.52 Germany is One of the Fastest Growing Market Edge AI Hardware in Europe 11.3.2 UK 184.108.40.206 The UK to Dominate Edge AI Hardware Market in Europe 11.3.3 France 220.127.116.11 Growing Demand for Surveillance to Drive Edge AI Hardware Market in France 11.3.4 Rest of Europe (RoE) 11.4 Asia Pacific (APAC) 11.4.1 China 18.104.22.168 AI Based Surveillance to Drive Edge AI Hardware Market in China 11.4.2 Japan 22.214.171.124 Robotics to Drive Edge AI Hardware Market in Japan 11.4.3 South Korea 126.96.36.199 Government Initiative to Drive Edge AI Hardware Market in Japan 11.4.4 Rest of APAC 11.5 Rest of the World (RoW) 11.5.1 Middle East & Africa (MEA) 188.8.131.52 Saudi Arabia, Israel and South Africa are Expected to Be the Major Contributors of Edge AI Hardware Market in Mea 11.5.2 South America 184.108.40.206 South America to Account for the Largest Share of Edge AI Hardware Market in RoW