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The artificial intelligence chip market was valued at US$ 5658.1 million in 2018 and is projected to reach US$ 83,252.7 million by 2027; it is expected to grow at a CAGR of 35.0% during 2019–2027.
With the availability of enormous amount of data and vast scalability of cloud-based compute power, artificial intelligence has become a massive trend across industries in these past few years. In today’s digital world, information is the key for enterprises to be successful and to maintain sustainable growth. Most industries especially service sector rely deeply on analytics to provide them with useful business insights and enable them to remain competitive in the market. Enterprises have been continuously automating their business processes that were earlier conducted either programmatically or manually. With advancement in AI chips and introduction of application-specific custom chips, enterprises now have the capability to collect real-time analytics and to transform data into actionable insights. There are numerous use cases available in the Artificial Intelligence Chip market of AI being successfully implemented across various verticals.
The major artificial intelligence applications for which AI chips are being used include Machine Learning (ML), Natural Language Processing (NLP), Expert Systems, Automated Speech Recognition, AI Planning, and Computer Vision.
Lucrative Regions for Artificial Intelligence Chip Market
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- Sample PDF showcases the content structure and the nature of the information with qualitative and quantitative analysis.
- Request discounts available for Start-Ups & Universities
Market Insights– Artificial Intelligence Chip Market
Increasing Investments in AI Chip Start-Ups will Fuel the Market during the forecast period
Artificial intelligence and its applications such as machine learning and deep learning have been growing tremendously over the last few years. AI is being utilized extensively in numerous areas ranging from cloud computing applications to digital assistants and self-driving/autonomous vehicles. With ever increasing use cases of AI and the evolving market landscape, the advancements in present chips have become a necessity. AI is majorly used in data center training market where NVIDIA is a market leader. However, the demand for application-specific custom AI chips and inference on edge and data center are the fast-growing segments in AI chip market, and many new startups are coming up to tap this market
Segment Insights
Based on segment, the artificial intelligence chip market is bifurcated into Data center/Cloud and edge applications. The Data Center accounted for the largest share in the global market share in 2018. Presently, the major application of artificial chips is in data center/cloud applications. AI chips in data centers are used for both training and inference purposes. Training is a process in which AI algorithms analyze the data, learn and then use that information to respond to real-world problems. Huge amount of data is analyzed by AI algorithms during the training process. In order to help developers in shortening their AI technology development processes, chip manufacturers should not only focus on increasing processor performance but to provide an entire ecosystem that includes hardware, framework and other supportive tools
Type Insights
Based on type, the artificial intelligence chip market is bifurcated into CPU, ASIC, GPU, FPGA and others. The GPU type segment accounted for the largest share in the global market share in 2018. Presently in artificial intelligence applications, Graphics Processing Units or GPUs are the most widely used hardware. High parallelism and memory bandwidth of GPUs make them the most viable option for machine and deep learning applications especially in training. GPUs were initially used to accelerate large number of multiply and add calculations executed in graphics rendering. With increase in demand of high performance graphics, the demand of powerful GPUs also grew.
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Artificial Intelligence Chip Market: Strategic Insights
Market Size Value in US$ 5658.1 Million in 2018 Market Size Value by US$ 83,252.7 Million by 2027 Growth rate CAGR of 35.0% from 2019-2027 Forecast Period 2019-2027 Base Year 2019
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We can optimize and tailor the analysis and scope which is unmet through our standard offerings. This flexibility will help you gain the exact information needed for your business planning and decision making.
Artificial Intelligence Chip Market: Strategic Insights

Market Size Value in | US$ 5658.1 Million in 2018 |
Market Size Value by | US$ 83,252.7 Million by 2027 |
Growth rate | CAGR of 35.0% from 2019-2027 |
Forecast Period | 2019-2027 |
Base Year | 2019 |

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The market players focus on new product innovations and developments by integrating advanced technologies and features in their products to compete with the competitors.
- In March 2019, AMD entered into a partnership with ScaleMP enable AMD server OEMs to create systems with 4, 8, and up to 128 processor sockets, up to 8,192 CPUs and 256 terabytes of shared memory.
- In July 2018, Google unveiled tiny new AI chips, Edge TPU, for on-device machine learning. Edge TPU is Google’s purpose-built application-specific integrated circuit (ASIC) designed to run AI at the edge. It delivers high performance in a small physical and power footprint, enabling the deployment of high-accuracy AI at the edge.
The Global Artificial Intelligence Chip Market has been Segmented as Follows:
Artificial Intelligence Chip Market– by Segment
- Data Center
- Edge
Artificial Intelligence Chip Market – by Type
- CPU
- GPU
- ASIC
- FPGA
- Others
Artificial Intelligence Chip Market – by Industry Vertical
- BFSI
- Retail
- IT & Telecom
- Automotive & Transportation
- Healthcare
- Media & Entertainment
- Others
Artificial Intelligence Market –by Geography
North America
- US
- Canada
- Mexico
Europe
- France
- Germany
- Italy
- Russia
- UK
- Rest of Europe
Asia Pacific (APAC)
- South Korea
- China
- India
- Australia
- Japan
- Rest of Asia Pacific
Middle East & Africa (MEA)
- Saudi Arabia
- UAE
- South Africa
- Rest of MEA
South America (SAM)
- Brazil
- Argentina
- Rest of South America (SAM)
Artificial Intelligence Chip Market –Companies Profiles
- Advanced Micro Devices, Inc.
- Google, Inc.
- Huawei Technologies Co., Ltd
- IBM
- Intel Corporation
- Micron Technology, Inc.
- NVIDIA Corporation
- QUALCOMM Incorporated
- Samsung Electronics Co., Ltd.
- Xilinx, Inc.

Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends

Segment Covered
Segment ; Type ; and Industry Vertical

Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America

Country Scope
US, Canada, Mexico, UK, Germany, Spain, Italy, France, India, China, Japan, South Korea, Australia, UAE, Saudi Arabia, South Africa, Brazil, Argentina
The List of Companies - Artificial Intelligence Chip Market
- Advanced Micro Devices, Inc.
- Alphabet Inc. (Google)
- Huawei Technologies Co., Ltd.
- IBM Corporation
- Intel Corporation
- Micron technology, Inc.
- NVIDIA Corporation
- Qualcomm Incorporated
- Samsung electronics Co., Ltd.
- Xilinx, Inc.
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- Data Collection and Secondary Research:
As a market research and consulting firm operating from a decade, we have published many reports and advised several clients across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.
Several associations trade associates, technical forums, institutes, societies and organizations are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in the last 3 years are scrutinized and analyzed to understand the current market trends.
- Primary Research:
The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.
For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/Sales Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.
A typical research interview fulfils the following functions:
- Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
- Validates and strengthens in-house secondary research findings
- Develops the analysis team’s expertise and market understanding
Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:
- Industry participants: VPs, business development managers, market intelligence managers and national sales managers
- Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.
Below is the breakup of our primary respondents by company, designation, and region:
Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.
- Data Analysis:
Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.
- 3.1 Macro-Economic Factor Analysis:
We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.
- 3.2 Country Level Data:
Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.
- 3.3 Company Profile:
The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.
- 3.4 Developing Base Number:
Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.
- Data Triangulation and Final Review:
The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.
We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.
We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.
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