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Artificial Intelligence (AI) Accelerator Market: Segment Analysis, Trends, Opportunities, Competitive Intensity, and Forecasts 2016-2025
Report Code : IE89029
Published: November 2018
Artificial Intelligence (AI) technology isn’t completely new to us; though the term “AI” initially coined in 1955, scholars have been originating it from centuries. AI and Internet of Things (IOT) have propelled industrial revolution 4.0, which is projected to completely transform our lives. In this report, we are covering market for AI accelerators that are driving the AI technology in various applications. The AI data center accelerator market was valued at USD 2.84 Billion in 2017 and it is projected reach USD 99.1 Billion by 2025, at a CAGR of 55.8% between 2018 and 2025. In this revamp report, we are increasing our growth forecasts (CAGR) from 46.1% to 55.8% CAGR from 2018 to 2025. The revision is made due to the significant growth in new product launches in early 2018.
The report qualitatively and quantitatively analyzes revenue drivers, restraining factors, and opportunities present for active companies in this market. In the coming three to four years, the AI market is projected to grow exceptionally due to the rising demand for AI solutions at edge/device computing.
We analyze the market attractiveness with help of Porter’s five forces model. This model is based on the qualitative and quantitative inputs from primary respondents and secondary data sources such as annual reports, press releases, company websites, and Industry Essence’s paid databases. This model analyzes most influential factors for the market and assists companies in taking key decisions such as exploration of investments avenues, expansion plans, production enhancement, market strategy building, pricing and product positioning, revenue enhancement, and deciding backward/forward integration steps.
AI functions- training and inference are performed either on cloud or at device level (on edge) or in some cases partially on cloud and edge. We’ve segmented AI accelerator market based on the infrastructure computing- data center and on edge. Currently more than 50% AI operations (training and inference) are performed by cloud based accelerators, however, with development of advanced AI processors for smartphones, tablets, driverless cars, Head Mounted Displays (HMDs), Drones, Robots, and many other devices, the market for on edge accelerators will increase exceptionally in coming years.
In this report, we have segmented AI Data Center Accelerator Market by processor types- Central Processing Unit (CPU), Graphics Processing Unit (GPU), Field-programmable Gate Array (FPGA), and Application-specific Integrated Circuits (ASICs). The market for ASICs is projected to grow at a highest CAGR of 91.9% between 2018 and 2022. ASICs have the best performance, power, and efficiency in specific applications and therefore they’re expected to be employed in most of the AI data centers.
AI Data Center Accelerator Market is segmented on the basis of technologies- machine learning, natural language processing, vision computing, and contextual computing. Machine learning market is further sub segmented as- deep learning, supervised learning, un-supervised learning, and reinforcement learning among others.
AI technology is used in various applications around the globe and therefore accelerator market is further segmented as end user industries- agriculture, automotive, FinTech, healthcare, human resources, law, manufacturing, marketing, retail and security. In 2017, more than 30% market was occupied by marketing industry wherein more than 60% market value was attributed to search advertising and social media advertising. In this report, we are comprehensively covering all the sub segments of these industries. AI accelerator market in marketing industry was valued at USD 0.94 Billion in 2017 and it is projected to reach USD 20.17 Billion by 2025 at a CAGR of 45.5%.
Global AI accelerator markets are covered in the report- North America, Europe, APAC, Latin America, and Middle East and Africa. The report further sub segments regional markets by major countries including- US, Canada, Mexico, UK, Germany, France, Italy, Spain, China, Japan, India, Korea, Middle East & Africa, and Latin America among others. North America is the largest market for AI accelerators, largely dominated by US. Most of the AI technology giants are headquartered at US such as- Intel Corp (US), Nvidia (US), Google LLC (US), IBM Corporation (US), Apple Inc (US), Qualcomm Inc (US), and many others along with many startups. China is one of the major AI technology adopter with many AI software startups and with recent government support many organizations have started developing in-house chipsets.
The market for Artificial Intelligence (AI) accelerator market is highly competitive due to the presence of many Tier I, Tier II companies, and startups competing on the basis of innovation and product positioning. In 2016, there were less than 20 companies in AI processor market however, by mid-2018 there are more than 50 companies that are competing in the space around the globe. Apart from US market, which dominates silicon chipset manufacturing business; there are new startups around the globe, serving range of different AI applications by innovation. In this report we have analyzed key organic and inorganic strategies adopted by different companies between 2013 and 2017 to remain competitive in the market. This section helps our clients to understand competitor strategies well and in adapting market needs quickly. The report profiles major companies and their thorough analysis (it includes* business summary, key financials, business diversification, market competence, expansion strategies, and SWOT analysis of major companies).
Table of Contents
1. Artificial Intelligence (AI) Accelerator Market: Market Essence
2. Value Chain & Ecosystem
2.1. Material Suppliers
2.2. Manufacturers & Integrators
2.4. End industry users
2.5. Analyst insights
2.6. Market Ecosystem
3. Market Impression
3.1. Revenue Driving Factors for Artificial Intelligence (AI) Accelerator Market in Next Five to Ten Years
3.2. Restraints Affecting Growth of the Artificial Intelligence (AI) Accelerator Market
3.3. Lucrative Opportunities for Artificial Intelligence (AI) Accelerator Market Stakeholders
4. Organic and Inorganic Strategies By Market Players, 2013-2017
4.1. Organic Strategies Adopted by Companies to Remain Competitive in the Market
4.2. Inorganic Strategies Adopted by Companies to Remain Competitive in the Market
4.3. Analyst Insights
5. Market Attractiveness: Porter’s Five Forces Market Analysis
5.1.1. Bargaining Power of Suppliers
18.104.22.168. Number of Suppliers
22.214.171.124. Switching Costs
126.96.36.199. Forward Integration
188.8.131.52. Product Differentiation
5.1.2. Intensity of Competition
184.108.40.206. Number of Competitors
220.127.116.11. Product Differentiation
18.104.22.168. Switching Costs
22.214.171.124. Rate of Industry Growth
5.1.3. Threat of New Entrants
126.96.36.199. Entry Barriers
188.8.131.52. Capital Requirement
184.108.40.206. Technology Knowhow
5.1.4. Threat of Substitutes
220.127.116.11. Availability Of Substitutes
18.104.22.168. Switching Costs
5.1.5. Bargaining Power of Buyers
22.214.171.124. Number Of Buyers
126.96.36.199. Switching Costs
188.8.131.52. Availability Of Substitutes
184.108.40.206. Product Differentiation
220.127.116.11. Price Sensitivity
6. Artificial Intelligence (AI) Accelerator Market, By Infrastructure
6.1. On Data Center/Cloud (Market Size, Trends, Forecasts, and Analysis)
6.2. On Edge (Market Size, Trends, Forecasts, and Analysis)
6.3. Analyst Insights
7. Artificial Intelligence (AI) Data Center Accelerator Market, By Processor Type (Market Size, Trends, Forecasts, and Analysis)
7.5. Analyst Insights
8. Artificial Intelligence (AI) Data Center Accelerator Market, By Technology (Market Size, Trends, Forecasts, and Analysis)
8.1. Machine Learning
8.1.1. Supervised Learning
8.1.2. Deep Learning
8.1.3. Unsupervised Learning
8.1.4. Reinforcement Learning
8.2. Natural Language Processing
8.3. Contextual Computing
8.4. Vision Computing
8.5. Analyst Insights
9. Artificial Intelligence (AI) Data Center Accelerator Market, By End-Use Industry (Market Size, Trends, Forecasts, and Analysis)
9.11. Analyst Insights
10. Artificial Intelligence (AI) Data Center Accelerator Market, Regional Analysis
10.1. North America (Country Market Size, Trends, Forecasts, and Analysis)
10.2. Europe (Country Market Size, Trends, Forecasts, and Analysis)
10.2.6. Rest Of The Europe
10.3. Asia-Pacific (Country Market Size, Trends, Forecasts, and Analysis)
10.3.3. South Korea
10.3.5. Rest Of The Asia-Pacific
10.4. Middle East & Africa (Country Market Size, Trends, Forecasts, and Analysis)
10.4.3. Rest of Middle East & Africa (MEA)
10.5. Latin America (Country Market Size, Trends, Forecasts, and Analysis)
10.6. Analyst Insights
11. AI Accelerator Market: Vision Matrix
12. AI Accelerator IP Market: Vision Matrix
13. Analysis of Key “Pain Points” of Companies in AI Accelerator Market
13.1. Tech giants and startups face AI accelerators project execution risks due to lengthy product development process
13.1.1. Analyst Insights
13.2. Barriers to entry in AI data center accelerators market
13.2.1. Analyst Insights
13.3. Intense competition in data centers and edge processor market is changing the market dynamics
13.3.1. Analyst Insights
13.4. Low initial Return on Investments (ROI) poses a significant risk to venture capitalists
13.4.1. Analyst Insights
13.4.2. Rapid technological change create major hurdles for companies
18.104.22.168. Analyst Insights
14. Market Participant Profiles (AI Accelerator Suppliers)
14.2. AMD Inc.
14.3. Apple Inc.
14.5. Fuzhou Rockchip
14.6. General Vision
14.7. Google LLC
14.9. Horizon Robotics
14.16. Krtkl Inc.
14.19. Qualcomm Inc.
14.22. Wave Computing
14.23. Xilinx Inc.
15. Market Participant Profiles (AI Accelerator Intellectual Property Suppliers)
15.1. ARM Ltd
15.3. CEVA Inc
15.4. Imagination Tech.
15.5. Synopsys Inc.