Product Code: SE 7017
"THE EDGE AI MARKET IN HARDWARE TO GROW AT CAGR OF 20.64% FROM 2019 TO 2024"
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.
Breakdown of Profiles of Primary Participants:
- By Company Type: Tier 1 = 30%, Tier 2 = 30%, and Tier 3 = 40%
- By Designation: C-Level Executives = 45%, Directors = 30%, and Others = 25%
- By Region: North America = 30%, Europe = 40%, APAC = 25%, and RoW = 5%
Research Coverage:
- Market by processor type covers CPU, GPU, FPGA, ASICS
- Market by power consumption less than 1W, 1-3 W, 3-5 W, 5-10 W, More than 10 W
- Market by process covers Training and Inference
- Market by devices covers Smartphones, Surveillance cameras, robots, wearables, Smart Speakers, automotive, smart mirror
- Market by end-user industry Smart home, government, healthcare, automotive and transportation, industrial, aerospace and defense, consumer electronics, construction, and others
- The geographic analysis is based on 4 major regions-North America, Europe, APAC, and RoW
Key Benefits of Buying the Report:
The report will help the leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the Edge AI hardware market and sub segments. This report will help stakeholders understand the competitive landscape and gain more insights to better position their businesses and to plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.
TABLE OF CONTENTS
1 INTRODUCTION
- 1.1 STUDY OBJECTIVES
- 1.2 DEFINITION
- 1.3 STUDY SCOPE
- 1.3.1 MARKETS COVERED
- 1.3.2 GEOGRAPHIC SCOPE
- 1.3.3 YEARS CONSIDERED
- 1.4 CURRENCY
- 1.5 LIMITATIONS
- 1.6 STAKEHOLDERS
2 RESEARCH METHODOLOGY
- 2.1 RESEARCH DATA
- 2.1.1 SECONDARY AND PRIMARY RESEARCH
- 2.1.1.1 Key industry insights
- 2.1.2 SECONDARY DATA
- 2.1.2.1 List of major secondary sources
- 2.1.2.2 Secondary sources
- 2.1.3 PRIMARY DATA
- 2.1.3.1 Breakdown of primaries
- 2.1.3.2 Primary sources
- 2.2 MARKET SIZE ESTIMATION
- 2.2.1 BOTTOM-UP APPROACH
- 2.2.1.1 Demand-side analysis
- 2.2.2 TOP-DOWN APPROACH
- 2.2.2.1 Supply-side analysis
- 2.3 MARKET BREAKDOWN AND DATA TRIANGULATION
- 2.4 RESEARCH ASSUMPTIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
- 4.1 ATTRACTIVE OPPORTUNITIES IN EDGE AI HARDWARE MARKET
- 4.2 EDGE AI HARDWARE MARKET, BY DEVICE
- 4.3 EDGE AI HARDWARE MARKET FOR ROBOTS, BY TYPE
- 4.4 EDGE AI HARDWARE MARKET FOR SURVEILLANCE CAMERA, BY END-USER INDUSTRY AND REGION
- 4.5 EDGE AI HARDWARE MARKET, BY GEOGRAPHY
5 MARKET OVERVIEW
- 5.1 INTRODUCTION
- 5.2 MARKET DYNAMICS
- 5.2.1 DRIVERS
- 5.2.1.1 Growing demand for low latency and real-time processing on
edge devices 41
- 5.2.1.2 Emergence of AI coprocessors for edge computing
- 5.2.1.3 Reduction in data storage and operations cost
- 5.2.2 RESTRAINTS
- 5.2.2.1 Limited on-device training
- 5.2.2.2 Limited number of AI experts
- 5.2.3 OPPORTUNITIES
- 5.2.3.1 Dedicated AI processors for on-device image analytics
- 5.2.3.2 Growing demand for edge computing in IoT
- 5.2.4 CHALLENGES
- 5.2.4.1 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 46
- 6.3 CAMERAS
- 6.3.1 SURVEILLANCE EXPECTED TO BE A MAJOR APPLICATION FOR AI
BASED CAMERAS 49
- 6.4 ROBOTS
- 6.4.1 ROBOTICS IS ONE OF THE FASTEST GROWING MARKET FOR EDGE
AI HARDWARE 56
- 6.5 WEARABLES
- 6.5.1 EYE WEAR EXPECTED TO BE MAJOR MARKET EDHE AI HARDWARE
IN WEARABLES 74
- 6.6 SMART SPEAKER
- 6.6.1 SMART SPEAKERS ARE NOW BEING USED TO CONTROL SMART
HOME PRODUCTS 78
- 6.7 AUTOMOTIVE
- 6.7.1 SEMI-AUTONOMOUS AND AUTONOMOUS VEHICLES TO DRIVE EDHE
AI HARDWARE MARKET FOR AUTOMOTIVE 81
- 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 93
- 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
- 10.2.1.1 On-device AI uses dedicated AI chipsets that will become prominent in all smartphones in the near future
- 10.2.2 WEARABLES
- 10.2.2.1 The implementation of AI in AR/VR technology offers very fast and immersive experience for gaming
- 10.2.3 ENTERTAINMENT ROBOTS
- 10.2.3.1 On-device AI on robotic pets market has opportunity to grow exponentially
- 10.3 SMART HOME
- 10.3.1 SMART SPEAKER
- 10.3.1.1 Smart speaker are being used to control smart home devices
- 10.3.2 SMART CAMERA
- 10.3.2.1 Power-efficient solutions for vision and artificial intelligence are now entering the market.
- 10.3.3 DOMESTIC ROBOTS
- 10.3.3.1 On-device AI in domestic robot improves its capabilities of acquiring new knowledge and skills.
- 10.4 AUTOMOTIVE & TRANSPORTATION
- 10.4.1 AUTOMOBILE
- 10.4.1.1 AI addresses the issue of safety through advanced driver assistance system (ADAS)
- 10.4.2 SURVEILLANCE CAMERA
- 10.4.2.1 Vehicle number late recognition, vehicle count, and vehicle recognition are the major applications
- 10.4.3 LOGISTICS ROBOTS
- 10.4.3.1 Logistics Robot expected to be a major application of edge AI
in transportation 104
- 10.5 GOVERNMENT
- 10.5.1 SURVEILLANCE CAMERA
- 10.5.1.1 AI based surveillance cameras will be used for law enforcement
- 10.5.2 DRONES
- 10.5.2.1 AI based Drones to be utilized for police operations & investigations
- 10.6 HEALTHCARE
- 10.6.1 MEDICAL ROBOTS
- 10.6.1.1 AI-based robots are being introduced for patient assistance and medicine dispensing.
- 10.6.2 WEARABLES
- 10.6.2.1 Wearables to dominate edge AI hardware market in healthcare
- 10.7 INDUSTRIAL
- 10.7.1 INDUSTRIAL ROBOTS
- 10.7.1.1 Robots needs AI in order to respond to environment
- 10.7.2 DRONES
- 10.7.2.1 AI based drones to automate the inspection process related to infrastructure.
- 10.7.3 CAMERAS
- 10.7.3.1 AI-based cameras are capable of observing and learning from the past, acting in the present, and anticipating future.
- 10.8 AEROSPACE & DEFENSE
- 10.8.1 SERVICE ROBOTS
- 10.8.1.1 Service robots to drive edge AI hardware market in aerospace industry
- 10.9 CONSTRUCTION
- 10.9.1 SERVICE ROBOTS
- 10.9.1.1 AI based robots are in the early stage of deployment in
the construction industry 110
- 10.9.2 DRONES
- 10.9.2.1 Construction companies have started using AI drones to scan
and map building sites. 110
- 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
- 11.2.1.1 US to drive Edge AI hardware market in North America
- 11.2.2 CANADA
- 11.2.2.1 Canada holds significant opportunities for Edge AI hardware growth in North America
- 11.2.3 MEXICO
- 11.2.3.1 Mexico to exhibit highest growth in Edge AI hardware growth
in North America 118
- 11.3 EUROPE
- 11.3.1 GERMANY
- 11.3.1.1 Germany is one of the fastest growing market edge AI hardware
in Europe 120
- 11.3.2 UK
- 11.3.2.1 The UK to dominate edge AI hardware market in Europe
- 11.3.3 FRANCE
- 11.3.3.1 Growing demand for surveillance to drive edge AI hardware market
in France 120
- 11.3.4 REST OF EUROPE (ROE)
- 11.4 ASIA PACIFIC (APAC)
- 11.4.1 CHINA
- 11.4.1.1 AI based surveillance to drive edge AI hardware market in China
- 11.4.2 JAPAN
- 11.4.2.1 Robotics to drive edge AI hardware market in Japan
- 11.4.3 SOUTH KOREA
- 11.4.3.1 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)
- 11.5.1.1 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
- 11.5.2.1 South America to account for the largest share of edge AI hardware market in RoW
12 COMPETITIVE LANDSCAPE
- 12.1 OVERVIEW
- 12.2 RANKING ANALYSIS OF KEY PLAYERS IN EDGE AI HARDWARE MARKET
- 12.3 COMPETITIVE SITUATIONS AND TRENDS
- 12.3.1 PRODUCT LAUNCHES
- 12.3.2 AGREEMENTS, PARTNERSHIPS, COLLABORATIONS, & CONTRACTS
- 12.3.3 ACQUISITIONS
- 12.4 COMPETITIVE LEADERSHIP MAPPING
- 12.4.1 VISIONARY LEADERS
- 12.4.2 DYNAMIC DIFFERENTIATORS
- 12.4.3 INNOVATORS
- 12.4.4 EMERGING COMPANIES
13 COMPANY PROFILES
(Business overview, Products offered, Recent developments, MNM view, SWOT analysis)*
- 13.1.1 INTEL CORPORATION
- 13.1.2 NVIDIA CORPORATION
- 13.1.3 HUAWEI
- 13.1.4 QUALCOMM
- 13.1.5 SAMSUNG ELECTRONICS
- 13.1.6 APPLE
- 13.1.7 MICROSOFT
- 13.1.8 MICRON TECHNOLOGY
- 13.1.9 XILINX
- 13.1.10 ARM
- 13.1.11 ALPHABET
- 13.1.12 MEDIATEK
- 13.1.13 APPLIED BRAIN RESEARCH
- 13.1.14 HORIZON ROBOTICS
- 13.1.15 CADENCE
- 13.1.16 CEVA
- 13.1.17 IMAGINATION TECHNOLOGIES
- 13.1.18 SYNOPSYS INC
- 13.1.19 HAILO
- 13.1.20 SECURERF CORPORATION
- 13.2 OTHER KEY PLAYERS
- 13.2.1 THINCI
- 13.2.2 GENERAL VISION
- 13.2.3 MYTHIC
- 13.2.4 ADAPTEVA, INC.
- 13.2.5 TENSTORRENT
- 13.2.6 VERISILICON
- 13.2.7 VIDEANTIS
Business overview, Products offered, Recent developments, MNM view, SWOT analysis might not be captured in case of unlisted companies.
14 APPENDIX
- 14.1 INSIGHTS OF INDUSTRY EXPERTS
- 14.2 DISCUSSION GUIDE
- 14.3 KNOWLEDGE STORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
- 14.4 AVAILABLE CUSTOMIZATIONS
- 14.5 RELATED REPORTS
- 14.6 AUTHOR DETAILS
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