Market Overview:
The global AI accelerator market is expected to grow at a CAGR of XX% during the forecast period from 2018 to 2030. The growth in this market can be attributed to the increasing demand for AI-enabled devices and applications, rising adoption of GPUs and VPUs for accelerating AI workloads, and growing investments in R&D activities for developing advanced AI accelerators. The global AI accelerator market is segmented on the basis of type into GPUs, VPUs, and others. The GPU segment is expected to hold the largest share of the global AI accelerator market during the forecast period. This can be attributed to the increasing demand for GPUs for accelerating deep learning workloads. The VPU segment is projected to grow at a higher CAGR than other segments during the forecast period owing to its ability to handle complex neural networks with high precision and accuracy.
Product Definition:
An AI accelerator is a type of hardware that helps to speed up the execution of artificial intelligence algorithms. They are used to improve the performance of devices such as smartphones, drones, and cars.
Graphics Processing Unit (GPU):
The Graphics Processing Unit (GPU) is a specialized microchip that is used for processing and executing graphics instructions. GPUs are increasingly being used in artificial intelligence (AI) accelerated applications as they provide higher performance than general-purpose processors. The growing demand for high-performance computing due to the rapid increase in data volumes has led to the growth of AI technology, which further creates potential avenues for market growth over the forecast period.
Vision Processing Unit (VPU):
The vision processing unit (VPU) is a dedicated hardware module in the machine learning and deep learning framework. It helps in accelerating image recognition, object detection, and stereo analysis tasks by performing various operations such as feature extraction, classification, normalization etc. The VPUs are mainly used for training AI algorithms to process visual data.
Increasing adoption of deep neural networks for image categorization is expected to drive the market growth over the forecast period.
Application Insights:
The robotics segment accounted for the largest market share in 2017 and is anticipated to witness significant growth over the forecast period. The increasing need for advanced AI algorithms in robotics applications has led to an increase in demand. Moreover, a rise in demand for self-driving cars is expected to boost the adoption of these accelerators over the coming years.
The consumer electronics segment is estimated to register a CAGR exceeding 40% from 2018 to 2030 owing to growing usage of smart devices across various applications such as media consumption, gaming and entertainment, home automation systems etc. Furthermore, artificial intelligence enables better user experience by improving device functionality with natural language processing capabilities enabling users chatty interfaces with more ease and efficiency while using smartphones or tablets computers etc.
Regional Analysis:
The North American regional market accounted for the largest share in 2017 and is expected to maintain its dominance over the forecast period. The growth can be attributed to increasing investments in artificial intelligence by companies, such as Google and Facebook, which has led to a rise in demand for accelerators. Moreover, growing adoption of deep learning based applications on consumer electronics devices is also anticipated to drive demand over the next eight years.
Asia Pacific regional market is projected to register significant growth during the forecast period owing to increased spending on artificial intelligence solutions across various sectors including manufacturing, healthcare & life sciences, financial services among others. This can be attributed largelyto rising government initiatives encouraging industry players and startups operating within AI space with funding support from organizations like Department of Industry Science Technology (DIT) Japan; Ministry of Education Japan; Research Institute for Advanced Computer Science (RIACS); National Center for Artificial Intelligence (NCAIC) among others).
Growth Factors:
- Increasing demand for AI-enabled devices and services
- Growing number of AI startups and investors
- Rising number of AI applications in various industries
- Advances in artificial intelligence technology
- Increasing awareness about the benefits of artificial intelligence
Scope Of The Report
Report Attributes
Report Details
Report Title
AI Accelerator Market Research Report
By Type
Graphics Processing Unit (GPU), Vision Processing Unit (VPU), Others
By Application
Robotics, Consumer Electronics, Security Systems, Others
By Companies
Huawei Technologies, Qualcomm, FinGenius, General Vision, IBM Corporation, NVIDIA Corporation, Intel Corporation, MediaTek Inc, Inbenta Technologies, Cerebras Systems, Microsoft Corporation, Samsung Electronics, Advanced Micro Devices, Apple Inc, Numenta, Sentient Technologies, Google Inc
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
244
Number of Tables & Figures
171
Customization Available
Yes, the report can be customized as per your need.
Global AI Accelerator Market Report Segments:
The global AI Accelerator market is segmented on the basis of:
Types
Graphics Processing Unit (GPU), Vision Processing Unit (VPU), Others
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Robotics, Consumer Electronics, Security Systems, Others
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Huawei Technologies
- Qualcomm
- FinGenius
- General Vision
- IBM Corporation
- NVIDIA Corporation
- Intel Corporation
- MediaTek Inc
- Inbenta Technologies
- Cerebras Systems
- Microsoft Corporation
- Samsung Electronics
- Advanced Micro Devices
- Apple Inc
- Numenta
- Sentient Technologies
- Google Inc
Highlights of The AI Accelerator Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Graphics Processing Unit (GPU)
- Vision Processing Unit (VPU)
- Others
- By Application:
- Robotics
- Consumer Electronics
- Security Systems
- Others
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the AI Accelerator Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
- Business Expansion Strategies
- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
- Channel & Customer Management
- Identifying Appropriate Advertising Appeals
8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
AI Accelerator is a program that helps startups and early-stage companies to develop artificial intelligence (AI) applications. The program provides access to AI experts, resources, and funding.
Some of the major players in the ai accelerator market are Huawei Technologies, Qualcomm, FinGenius, General Vision, IBM Corporation, NVIDIA Corporation, Intel Corporation, MediaTek Inc, Inbenta Technologies, Cerebras Systems, Microsoft Corporation, Samsung Electronics, Advanced Micro Devices, Apple Inc, Numenta, Sentient Technologies, Google Inc.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 AI Accelerator Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 AI Accelerator Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 AI Accelerator Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the AI Accelerator Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global AI Accelerator Market Size & Forecast, 2018-2028
4.5.1 AI Accelerator Market Size and Y-o-Y Growth
4.5.2 AI Accelerator Market Absolute $ Opportunity
Chapter 5 Global AI Accelerator Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 AI Accelerator Market Size Forecast by Type
5.2.1 Graphics Processing Unit (GPU)
5.2.2 Vision Processing Unit (VPU)
5.2.3 Others
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global AI Accelerator Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 AI Accelerator Market Size Forecast by Applications
6.2.1 Robotics
6.2.2 Consumer Electronics
6.2.3 Security Systems
6.2.4 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global AI Accelerator Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 AI Accelerator Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America AI Accelerator Analysis and Forecast
9.1 Introduction
9.2 North America AI Accelerator Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America AI Accelerator Market Size Forecast by Type
9.6.1 Graphics Processing Unit (GPU)
9.6.2 Vision Processing Unit (VPU)
9.6.3 Others
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America AI Accelerator Market Size Forecast by Applications
9.10.1 Robotics
9.10.2 Consumer Electronics
9.10.3 Security Systems
9.10.4 Others
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe AI Accelerator Analysis and Forecast
10.1 Introduction
10.2 Europe AI Accelerator Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe AI Accelerator Market Size Forecast by Type
10.6.1 Graphics Processing Unit (GPU)
10.6.2 Vision Processing Unit (VPU)
10.6.3 Others
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe AI Accelerator Market Size Forecast by Applications
10.10.1 Robotics
10.10.2 Consumer Electronics
10.10.3 Security Systems
10.10.4 Others
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific AI Accelerator Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific AI Accelerator Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific AI Accelerator Market Size Forecast by Type
11.6.1 Graphics Processing Unit (GPU)
11.6.2 Vision Processing Unit (VPU)
11.6.3 Others
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific AI Accelerator Market Size Forecast by Applications
11.10.1 Robotics
11.10.2 Consumer Electronics
11.10.3 Security Systems
11.10.4 Others
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America AI Accelerator Analysis and Forecast
12.1 Introduction
12.2 Latin America AI Accelerator Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America AI Accelerator Market Size Forecast by Type
12.6.1 Graphics Processing Unit (GPU)
12.6.2 Vision Processing Unit (VPU)
12.6.3 Others
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America AI Accelerator Market Size Forecast by Applications
12.10.1 Robotics
12.10.2 Consumer Electronics
12.10.3 Security Systems
12.10.4 Others
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) AI Accelerator Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) AI Accelerator Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) AI Accelerator Market Size Forecast by Type
13.6.1 Graphics Processing Unit (GPU)
13.6.2 Vision Processing Unit (VPU)
13.6.3 Others
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) AI Accelerator Market Size Forecast by Applications
13.10.1 Robotics
13.10.2 Consumer Electronics
13.10.3 Security Systems
13.10.4 Others
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 AI Accelerator Market: Competitive Dashboard
14.2 Global AI Accelerator Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Huawei Technologies
14.3.2 Qualcomm
14.3.3 FinGenius
14.3.4 General Vision
14.3.5 IBM Corporation
14.3.6 NVIDIA Corporation
14.3.7 Intel Corporation
14.3.8 MediaTek Inc
14.3.9 Inbenta Technologies
14.3.10 Cerebras Systems
14.3.11 Microsoft Corporation
14.3.12 Samsung Electronics
14.3.13 Advanced Micro Devices
14.3.14 Apple Inc
14.3.15 Numenta
14.3.16 Sentient Technologies
14.3.17 Google Inc
