The global edge AI processor market revenue was US$ 2.9 billion in 2022 and is projected to reach US$ 11.2 billion by 2031, growing at a CAGR of 16% during the forecast period from 2023 to 2031.
Artificial intelligence and edge computing are combined to create edge AI. AI algorithms are processed locally, either on the device or a nearby server. Artificial intelligence (AI) processors are specialized chips that integrate AI and machine learning to make mobile devices intelligent enough to resemble the human brain. AI processors are designed to optimize deep learning workloads. The edge AI processor market is seeing profitable growth prospects due to the increasing demand for and use of artificial intelligence goods and services.
Market Growth Factors
Segmentation Outlook
In terms of Type Insights
In 2021, the global central processing unit segment generated the maximum revenue. As IoT use rises, it is likely that billions of new devices will be connected, requiring faster and more efficient processing. The market for PC processors is likely to grow due to the integration of field programmable gate arrays (FPGAs) and CPUs for high-performance supercomputing or computing applications.
In terms of Device Type Insights
The consumer devices segment is likely to attain the highest growth rate during the forecast period. As 5G networks and edge AI hardware improve, boosting the market for AI-enabled devices, the demand for consumer devices will rise quickly. This is due to the growing importance of home automation and consumer devices among device manufacturers. The growth of IoT and the adoption of smart technologies by consumer electronics and the automotive industry, among many other sectors, are advancing the edge AI processor market.
Geographical Outlook
In 2021, North America held a dominant position and is likely to witness the highest growth rate over the forecast period. The North American edge AI processor market is expanding due to industrial automation and robots being widely used in the manufacturing sector. To enhance productivity while reducing dependency on people, a number of local manufacturing sectors are concentrating on integrating industrial robots and robotic arms into plant infrastructure.
For speech recognition, computer vision, and robotic process automation applications in this automated machinery, edge AI processors are necessary. In 2018, there were 55,212 industrial robot installations in North America, up 20% year over year, according to the World Robotics 2019 study. Additionally, North America held the largest share in 2019 owing to the region's huge concentration of US-based tech behemoths, including NVIDIA, Google, Microsoft, Intel Corporation, Xilinx, and Qualcomm Technologies.
Governments in the North American area continue to invest in AI-related technology and place a greater emphasis on building internal AI applications. In December 2019, the US government increased core funding for AI R&D by US$ 25 billion, following the National AI R&D Strategic Plan. This strategic initiative aims to increase access to high-quality cyberinfrastructure.
The majority of the tech behemoths in the field of edge AI computing are situated in the United States. Additionally, a number of start-ups, including the American business Cerebras Systems, are focusing on developing software. In North America, there will be a major rise in the use of industrial robots, which will open up new growth prospects for the edge AI processor industry.
Leading Competitors
The leading prominent companies profiled in the global edge AI processor market are:
Scope of the Report
The global edge AI processor market segmentation focuses on Type, Device Type, End-User, and Region.
Segmentation based on Type
Segmentation based on Device Type
Segmentation based on End-User
Segmentation based on Region
[TABLE OF CONTENTS]
1 INTRODUCTION OF GLOBAL EDGE AI PROCESSOR MARKET
1.1 OVERVIEW OF THE MARKET
1.2 SCOPE OF REPORT
1.3 ASSUMPTIONS
2 EXECUTIVE SUMMARY
3 RESEARCH METHODOLOGY
3.1 DATA MINING
3.2 VALIDATION
3.3 PRIMARY INTERVIEWS
3.4 LIST OF DATA SOURCES
4 GLOBAL EDGE AI PROCESSOR MARKET OUTLOOK
4.1 OVERVIEW
4.2 MARKET DYNAMICS
4.2.1 DRIVERS
4.2.2 RESTRAINTS
4.2.3 OPPORTUNITIES
4.3 PORTERS FIVE FORCE MODEL
4.4 VALUE CHAIN ANALYSIS
5 GLOBAL EDGE AI PROCESSOR MARKET, BY TYPE
5.1 OVERVIEW
5.2 CENTRAL PROCESSING UNIT (CPU)
5.3 GRAPHICS PROCESSING UNIT (GPU)
5.4 APPLICATION SPECIFIC INTEGRATED CIRCUIT (ASIC)
6 GLOBAL EDGE AI PROCESSOR MARKET, BY DEVICE TYPE
6.1 OVERVIEW
6.2 CONSUMER DEVICES
6.3 ENTERPRISE DEVICES
7 GLOBAL EDGE AI PROCESSOR MARKET, BY END USE
7.1 OVERVIEW
7.2 AUTOMOTIVE AND TRANSPORTATION
7.3 HEALTHCARE
7.4 CONSUMER ELECTRONICS
7.5 RETAIL AND ECOMMERCE
7.6 MANUFACTURING
7.7 OTHERS
8 GLOBAL EDGE AI PROCESSOR MARKET, BY GEOGRAPHY
8.1 OVERVIEW
8.2 NORTH AMERICA
8.2.1 NORTH AMERICA MARKET SNAPSHOT
8.2.2 U.S.
8.2.3 CANADA
8.2.4 MEXICO
8.3 EUROPE
8.3.1 EUROPE MARKET SNAPSHOT
8.3.2 WESTERN EUROPE
8.3.2.1 THE UK
8.3.2.2 GERMANY
8.3.2.3 FRANCE
8.3.2.4 ITALY
8.3.2.5 SPAIN
8.3.2.6 REST OF WESTERN EUROPE
8.3.3 EASTERN EUROPE
8.3.3. 1 POLAND
8.3.3.2 RUSSIA
8.3.3.3 REST OF EASTERN EUROPE
8.4 ASIA PACIFIC
8.4.1 ASIA PACIFIC MARKET SNAPSHOT
8.4.2 CHINA
8.4.3 JAPAN
8.4.4 INDIA
8.4.5 AUSTRALIA & NEW ZEALAND
8.4.6 ASEAN
8.4.7 REST OF ASIA PACIFIC
8.5 MIDDLE EAST & AFRICA
8.5.1 MIDDLE EAST & AFRICA MARKET SNAPSHOT
8.5.2 UAE
8.5.3 SAUDI ARABIA
8.5.4 SOUTH AFRICA
8.5.5 REST OF MEA
8.6 SOUTH AMERICA
8.6.1 SOUTH AMERICA MARKET SNAPSHOT
8.6.2 BRAZIL
8.6.3 ARGENTINA
8.6.4 REST OF SOUTH AMERICA
9 GLOBAL EDGE AI PROCESSOR MARKET COMPETITIVE LANDSCAPE
9.1 OVERVIEW
9.2 COMPANY MARKET RANKING
9.3 KEY DEVELOPMENT STRATEGIES
10 COMPANY PROFILES
10.1 NVIDIA CORPORATION
10.1.1 OVERVIEW
10.1.2 FINANCIAL PERFORMANCE
10.1.3 PRODUCT OUTLOOK
10.1.4 KEY DEVELOPMENTS
10.2 QUALCOMM TECHNOLOGIES, INC.
10.2.1 OVERVIEW
10.2.2 FINANCIAL PERFORMANCE
10.2.3 PRODUCT OUTLOOK
10.2.4 KEY DEVELOPMENTS
10.3 SAMSUNG ELECTRONICS CO LTD
10.3.1 OVERVIEW
10.3.2 FINANCIAL PERFORMANCE
10.3.3 PRODUCT OUTLOOK
10.3.4 KEY DEVELOPMENTS
10.4 ALPHABET INC.
10.4.1 OVERVIEW
10.4.2 FINANCIAL PERFORMANCE
10.4.3 PRODUCT OUTLOOK
10.4.4 KEY DEVELOPMENTS
10.5 ARM LIMITED
10.5.1 OVERVIEW
10.5.2 FINANCIAL PERFORMANCE
10.5.3 PRODUCT OUTLOOK
10.5.4 KEY DEVELOPMENTS
10.6 ADVANCED MICRO DEVICES, INC.
10.6.1 OVERVIEW
10.6.2 FINANCIAL PERFORMANCE
10.6.3 PRODUCT OUTLOOK
10.6.4 KEY DEVELOPMENTS
10.7 HISILICON(SHANGHAI) TECHNOLOGIES CO LIMITED
10.7.1 OVERVIEW
10.7.2 FINANCIAL PERFORMANCE
10.7.3 PRODUCT OUTLOOK
10.7.4 KEY DEVELOPMENTS
10.8 INTEL CORPORATION
10.8.1 OVERVIEW
10.8.2 FINANCIAL PERFORMANCE
10.8.3 PRODUCT OUTLOOK
10.8.4 KEY DEVELOPMENTS
10.9 MYTHIC
10.9.1 OVERVIEW
10.9.2 FINANCIAL PERFORMANCE
10.9.3 PRODUCT OUTLOOK
10.9.4 KEY DEVELOPMENTS
10.10 APPLE INC.
10.10.1 OVERVIEW
10.10.2 FINANCIAL PERFORMANCE
10.10.3 PRODUCT OUTLOOK
10.10.4 KEY DEVELOPMENTS
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