Global Artificial Intelligence (Chipsets) Market Size, Trends & Analysis - Forecasts to 2027 By Hardware (Processor, Memory, Network), By Technology (Machine Learning, Deep Learning, Natural Language Processing, Context-aware Computing, Computer Vision, Predictive Analysis), By End-User Industry (Healthcare, Manufacturing, Automotive, Agriculture, Retail, Cybersecurity, Human Resources, Marketing, Law, Fintech, Government), By Region (North America, Asia Pacific, Central and South America, Europe, and the Middle East and Africa), Company Market Share Analysis, and Competitor Analysis
The Global Artificial Intelligence (Chipsets) Market is projected to grow from USD 8.2 Billion in 2022 to USD 57.8 Billion by 2027 at a CAGR value of 42.5% from 2022 to 2027.
Artificial intelligence-based applications have positively impacted the world with the technology being used in self-driven cars, recommendation systems, web search engines and medical imaging, However, Artificial Intelligence requires a large computation capacity and hence faces challenges on that aspect. Artificial Intelligence chipsets reduce this problem by providing a cost-effective alternative along with the same high speed and efficiency. This is possible due to artificial intelligence chipset’s ability to integrate smaller transistors together to work faster and consume lesser energy than a larger transistor. This makes them efficient, energy saving and also a product that can kickstart the beginning of AI in a small-scale industry. Artificial Intelligence chipsets are also multifaceted and are used in a variety of devices such as mobile phones, laptops and smart devices.
The market will be driven during the forecast period by the increasing adoption of machine learning in semiconductor industry, rising awareness regarding quantum computing technologies and neural networks, rising penetration of smartphones, laptops and smart devices, & wearables, growing demand for faster and efficient data management technologies and increasing investments in the development of new-age technologies across developing regions.
Furthermore, the rise of Industry 4.0 and the rising usage of smart technology by firms and other end-user verticals to increase their market growth act as additional factors that will boost the artificial intelligence chipsets market.
The COVID-19 pandemic has urged consumers to shift to e-commerce and online stores for their daily needs. This has led to huge generation of data, and has led to the prominence of artificial intelligence chipsets to make use of this data and to process it efficiently. The growing need for home electronics during the pandemic has also propelled the need for artificial intelligence chipset based smart devices. There has also been a rise in innovative ed-tech given the pandemic situation. Several ed-tech companies are using artificial intelligence-based technology in order to propagate new ways of teaching and imparting knowledge. Artificial intelligence-based technology is expected to grow during the COVID-19 pandemic due to the immergence of dependence on smart technology.
Based on the hardware, the Artificial Intelligence (Chipsets) market is divided into processor, memory and network. The memory segment is expected to be the fastest-growing segment in the market from 2022 to 2027.
Growing amounts of data require increasing memory bandwidth and capacity. Development of high bandwidth memory would lead to minimization of problems with respect to big data storage. Innovation in high bandwidth memory based artificial intelligence chipsets is ought to store huge data while increasing the efficiency of the output.
Based on the technology, the Artificial Intelligence (Chipsets) market is divided into machine leaning, deep learning, natural language processing, context-aware computing, computer vision and predictive analysis. The deep learning segment is expected to be the fastest-growing segment in the market from 2022 to 2027.
Deep learning uses techniques such as multi-layered perceptrons (MLP), convolutional neural networks (CNN) and long short-term memory recurrent neural networks (LSTM-RNN) to form information based on data. These techniques resemble the working of the neurons in the human brain. Hence, deep learning as a technology is more advanced and perfects the AI technology processed information.
Based on the end-user industry, the Artificial Intelligence (Chipsets) market is divided into healthcare, manufacturing, automotive, agriculture, retail, cybersecurity, human resources, marketing, law, fintech and government. The cybersecurity segment is expected to have the largest segment in the market from 2022 to 2027. The rise in the use of smartphone and laptop-based applications such as social media networking sites, e-mails, net banking makes personal information vulnerable and can lead to misuse of this information by hackers. Artificial Intelligence help in detection of ransomware and malware attacks.
As per the geographical analysis, the Artificial Intelligence (Chipsets) market can be classified into North America (the United States, Canada, and Mexico), Asia Pacific (India, China, Japan, Malaysia, Singapore, and the Rest of Asia Pacific), Europe (Germany, United Kingdom, Italy, France, Spain, Netherlands, and Rest of Europe), Middle East & Africa (Saudi Arabia, United Arab Emirates, and Rest of the Middle East & Africa) and Central & South America (Brazil, Argentina, and Rest of Central and South America).
North America (the United States, Canada, and Mexico) will have a dominant share in the Artificial Intelligence (Chipsets) market from 2022 to 2027. The major factor driving the growth of the market in the North American region is due to increasing adoption of artificial technology in electronics, smart devices, presence of dominant players in the region and rapid growth of AI technology for national security reasons.
Moreover, the Asia Pacific (India, China, Japan, Malaysia, Singapore, and the Rest of Asia Pacific) region is expected to be the fastest-growing segment in the Artificial Intelligence (Chipsets) market during the forecast period. Rapidly growing demand for advanced technology in devices and increasing need for AI technology to analyse the data generated.
NVIDIA Corporation (NVIDIA), Intel Corporation (Intel), Xilinx, Inc., Samsung Electronics Co., Ltd (Samsung), Micron Technology.Inc (Micron), Qualcomm Technologies, Inc., International Business Machines Corporation Microsoft), Amazon Web Services (an Amazon.com, Inc subsidiary)(AWS), Advanced Micro Devices, Inc.(AMD), General Vision, Inc., Huawei Technologies Co., Ltd. (Huawei), Graphcore Limited (Graphcore), MediaTek Inc (MediaTek), Fujitsu Limited (Fujitsu), Wave Computing Inc (Wave Computing), Mythic, Zero ASIC, Koniku Inc (Koniku), Tenstorrent Inc (Tenstorrent), SambaNova Systems Inc (SambaNova), Kalray Corporation (Kalray), XMOS Limited (XMOS), Greenwaves Technologies among others are the key players in the Artificial Intelligence (Chipsets) market.
Please note: This is not an exhaustive list of companies profiled in the report.
Chapter 1 Methodology
1.1 Market Scope & Definitions
1.2 Estimates & Forecast Calculation
1.3 Historical Data Overview and Validation
1.4 Data Sources
1.4.1 Secondary
1.4.2 Primary
Chapter 2 Report Outlook
2.1 Artificial Intelligence (Chipsets) Industry Overview, 2022-2027
2.1.1 Industry Overview
2.1.2 Hardware Overview
2.1.3 Technology Overview
2.1.4 Function Overview
2.1.5 End-User Industry Overview
2.1.6 Regional Overview
Chapter 3 Artificial Intelligence (Chipsets) Market Trends
3.1 Market Segmentation
3.2 Industry Background, 2022-2027
3.3 Market Key Trends
3.3.1 Positive Trends
3.3.1.1 Advancements in the artificial intelligence technology
3.3.1.2 Growing penetration of AI enabled smart devices in APAC region
3.3.2 Industry Challenges
3.3.2.1 Lack of adequate and skilled workforce
3.4 Prospective Growth Scenario
3.4.1 Hardware Growth Scenario
3.4.2 Technology Growth Scenario
3.4.3 Function Growth Scenario
3.4.4 End-User Industry Growth Scenario
3.5 COVID-19 Influence over Industry Growth
3.6 Porter’s Analysis
3.7 PESTEL Analysis
3.8 Value Chain & Supply Chain Analysis
3.9 Regulatory Framework
3.8.1 North America
3.8.2 Europe
3.8.3 APAC
3.8.4 LATAM
3.8.5 MEA
3.10 End-User Industry Overview
3.11 Market Share Analysis, 2020
3.11.1 Company Positioning Overview, 2020
Chapter 4 Artificial Intelligence (Chipsets) Market, By Hardware
4.1 Hardware Outlook
4.2 Processor
4.2.1 Market Size, By Region, 2022-2027 (USD Billion)
4.3 Memory
4.3.1 Market Size, By Region, 2022-2027 (USD Billion)
4.4 Network
4.4.1 Market Size, By Region, 2022-2027 (USD Billion)
Chapter 5 Artificial Intelligence (Chipsets) Market, By Technology
5.1 Machine Learning
5.1.1 Market Size, By Region, 2022-2027 (USD Billion)
5.2 Deep Learning
5.2.1 Market Size, By Region, 2022-2027 (USD Billion)
5.3 Natural Language Processing
5.3.1 Market Size, By Region, 2022-2027 (USD Billion)
5.4 Context-aware computing
5.4.1 Market Size, By Region, 2022-2027 (USD Billion)
5.5 Computer Vision
5.5.1 Market Size, By Region, 2022-2027 (USD Billion)
5.6 Predictive Analysis
5.5.1 Market Size, By Region, 2022-2027 (USD Billion)
Chapter 6 Artificial Intelligence (Chipsets) Market, By End-User Industry
6.1 Healthcare
6.1.1 Market Size, By Region, 2022-2027 (USD Billion)
6.2.1 Market Size, By Region, 2022-2027 (USD Billion)
6.3 Automotive
6.3.1 Market Size, By Region, 2022-2027 (USD Billion)
6.4 Agriculture
6.4.1 Market Size, By Region, 2022-2027 (USD Billion)
6.5 Retail
6.5.1 Market Size, By Region, 2022-2027 (USD Billion)
6.6 Cybersecurity
6.5.1 Market Size, By Region, 2022-2027 (USD Billion)
6.7 Human Resources
6.6.1 Market Size, By Region, 2022-2027 (USD Billion)
6.7.1 Market Size, By Region, 2022-2027 (USD Billion)
6.8.1 Market Size, By Region, 2022-2027 (USD Billion)
6.10.1 Market Size, By Region, 2022-2027 (USD Billion)
6.11 Government
6.11.1 Market Size, By Region, 2022-2027 (USD Billion)
Chapter 7 Artificial Intelligence (Chipsets) Market, By Region
7.1 Regional outlook
7.2 North America
7.2.1 Market Size, By Country 2022-2027 (USD Billion)
7.2.2 Market Size, By Hardware, 2022-2027 (USD Billion)
7.2.3 Market Size, By Technology, 2022-2027 (USD Billion)
7.2.5 Market Size, By End-User Industry, 2022-2027 (USD Billion)
7.2.6 U.S.
7.2.5.1 Market Size, By Hardware, 2022-2027 (USD Billion)
7.2.4.2 Market Size, By Technology, 2022-2027 (USD Billion)
7.2.4.3 Market Size, By End-User Industry, 2022-2027 (USD Billion)
7.2.7 Canada
7.2.6.1 Market Size, By Hardware, 2022-2027 (USD Billion)
7.2.6.2 Market Size, By Technology, 2022-2027 (USD Billion)
7.2.6.4 Market Size, By End-User Industry, 2022-2027 (USD Billion)
7.3 Europe
7.3.1 Market Size, By Country 2022-2027 (USD Billion)
7.3.2 Market Size, By Hardware, 2022-2027 (USD Billion)
7.3.3 Market Size, By Technology, 2022-2027 (USD Billion)
7.3.5 Market Size, By End-User Industry, 2022-2027 (USD Billion)
7.3.6 Germany
7.3.5.1 Market Size, By Hardware, 2022-2027 (USD Billion)
7.3.5.2 Market Size, By Technology, 2022-2027 (USD Billion)
7.3.5.4 Market Size, By End-User Industry, 2022-2027 (USD Billion)
7.3.7 UK
7.3.6.1 Market Size, By Hardware, 2022-2027 (USD Billion)
7.3.6.2 Market Size, By Technology, 2022-2027 (USD Billion)
7.3.6.4 Market Size, By End-User Industry, 2022-2027 (USD Billion)
7.3.8 France
7.3.7.1 Market Size, By Hardware, 2022-2027 (USD Billion)
7.3.7.2 Market Size, By Technology, 2022-2027 (USD Billion)
7.3.7.4 Market Size, By End-User Industry, 2022-2027 (USD Billion)
7.3.9 Italy
7.3.8.1 Market Size, By Hardware, 2022-2027 (USD Billion)
7.3.8.2 Market Size, By Technology, 2022-2027 (USD Billion)
7.3.8.4 Market Size, By End-User Industry, 2022-2027 (USD Billion)
7.3.10 Spain
7.3.10.1 Market Size, By Hardware, 2022-2027 (USD Billion)
7.3.10.2 Market Size, By Technology, 2022-2027 (USD Billion)
7.3.10.4 Market Size, By End-User Industry, 2022-2027 (USD Billion)
7.3.11 Russia
7.3.11.1 Market Size, By Hardware, 2022-2027 (USD Billion)
7.3.11.2 Market Size, By Technology, 2022-2027 (USD Billion)
7.3.11.4 Market Size, By End-User Industry, 2022-2027 (USD Billion)
7.4 Asia Pacific
7.4.1 Market Size, By Country 2022-2027 (USD Billion)
7.4.2 Market Size, By Hardware, 2022-2027 (USD Billion)
7.4.3 Market Size, By Technology, 2022-2027 (USD Billion)
7.4.5 Market Size, By End-User Industry, 2022-2027 (USD Billion)
7.4.6 China
7.4.5.1 Market Size, By Hardware, 2022-2027 (USD Billion)
7.4.5.2 Market Size, By Technology, 2022-2027 (USD Billion)
7.4.5.4 Market Size, By End-User Industry, 2022-2027 (USD Billion)
7.4.7 India
7.4.6.1 Market Size, By Hardware, 2022-2027 (USD Billion)
7.4.6.2 Market Size, By Technology, 2022-2027 (USD Billion)
7.4.6.4 Market Size, By End-User Industry, 2022-2027 (USD Billion)
7.4.8 Japan
7.4.7.1 Market Size, By Hardware, 2022-2027 (USD Billion)
7.4.7.2 Market Size, By Technology, 2022-2027 (USD Billion)
7.4.7.4 Market Size, By End-User Industry, 2022-2027 (USD Billion)
7.4.9 Australia
7.4.8.1 Market Size, By Hardware, 2022-2027 (USD Billion)
7.4.8.2 Market size, By Technology, 2022-2027 (USD Billion)
7.4.8.4 Market Size, By End-User Industry, 2022-2027 (USD Billion)
7.4.10 South Korea
7.4.10.1 Market Size, By Hardware, 2022-2027 (USD Billion)
7.4.10.2 Market Size, By Technology, 2022-2027 (USD Billion)
7.4.10.4 Market Size, By End-User Industry, 2022-2027 (USD Billion)
7.5 Central and South America
7.5.1 Market Size, By Country 2022-2027 (USD Billion)
7.5.2 Market Size, By Hardware, 2022-2027 (USD Billion)
7.5.5 Market Size, By End-User Industry, 2022-2027 (USD Billion)
7.5.6 Brazil
7.5.5.1 Market Size, By Hardware, 2022-2027 (USD Billion)
7.5.5.2 Market Size, By Technology, 2022-2027 (USD Billion)
7.5.5.4 Market Size, By End-User Industry, 2022-2027 (USD Billion)
7.5.7 Mexico
7.5.6.1 Market Size, By Hardware, 2022-2027 (USD Billion)
7.5.6.2 Market Size, By Technology, 2022-2027 (USD Billion)
7.5.6.4 Market Size, By End-User Industry, 2022-2027 (USD Billion)
7.5.8 Argentina
7.5.7.1 Market Size, By Hardware, 2022-2027 (USD Billion)
7.5.7.2 Market Size, By Technology, 2022-2027 (USD Billion)
7.5.7.4 Market Size, By End-User Industry, 2022-2027 (USD Billion)
7.6 MEA
7.5.1 Market Size, By Country 2022-2027 (USD Billion)
7.5.2 Market Size, By Hardware, 2022-2027 (USD Billion)
7.5.3 Market Size, By Technology, 2022-2027 (USD Billion)
7.5.5 Market Size, By End-User Industry, 2022-2027 (USD Billion)
7.5.6 Saudi Arabia
7.5.5.1 Market Size, By Hardware, 2022-2027 (USD Billion)
7.5.5.2 Market Size, By Technology, 2022-2027 (USD Billion)
7.5.5.4 Market Size, By End-User Industry, 2022-2027 (USD Billion)
7.5.7 UAE
7.5.6.1 Market Size, By Hardware, 2022-2027 (USD Billion)
7.5.6.2 Market Size, By Technology, 2022-2027 (USD Billion)
7.5.6.4 Market Size, By End-User Industry, 2022-2027 (USD Billion)
7.5.8 South Africa
7.5.7.1 Market Size, By Hardware, 2022-2027 (USD Billion)
7.5.7.2 Market Size, By Technology, 2022-2027 (USD Billion)
7.5.7.4 Market Size, By End-User Industry, 2022-2027 (USD Billion)
Chapter 8 Company Landscape
8.1 Competitive Analysis, 2020
8.2 NVIDIA Corporation (NVIDIA)
8.2.1 Company Overview
8.2.2 Financial Analysis
8.2.3 Strategic Positioning
8.2.4 Info Graphic Analysis
8.3 Intel Corporation (Intel)
8.3.1 Company Overview
8.3.2 Financial Analysis
8.3.3 Strategic Positioning
8.3.4 Info Graphic Analysis
8.4 Xilinx, In. (Xilinx)
8.4.1 Company Overview
8.4.2 Financial Analysis
8.4.3 Strategic Positioning
8.4.4 Info Graphic Analysis
8.5 Samsung Electronics Co., Ltd. (Samsung)
8.5.1 Company Overview
8.5.2 Financial Analysis
8.5.3 Strategic Positioning
8.5.4 Info Graphic Analysis
8.6 Micron Technology (Micron)
8.5.1 Company Overview
8.5.2 Financial Analysis
8.5.3 Strategic Positioning
8.5.4 Info Graphic Analysis
8.7 Qualcomm Technologies, Inc.
8.6.1 Company Overview
8.6.2 Financial Analysis
8.6.3 Strategic Positioning
8.6.4 Info Graphic Analysis
8.8 International Business Machines Corporation (IBM)
8.7.1 Company Overview
8.7.2 Financial Analysis
8.7.3 Strategic Positioning
8.7.4 Info Graphic Analysis
8.9 Google Inc. (Google)
8.8.1 Company Overview
8.8.2 Financial Analysis
8.8.3 Strategic Positioning
8.8.4 Info Graphic Analysis
8.10 Microsoft Corporation (Microsoft)
8.10.1 Company Overview
8.10.2 Financial Analysis
8.10.3 Strategic Positioning
8.10.4 Info Graphic Analysis
8.11 Amazon Web Services (an Amazon.com subsidiary) (AWS)
8.11.1 Company Overview
8.11.2 Financial Analysis
8.11.3 Strategic Positioning
8.11.4 Info Graphic Analysis
8.12 Advanced Micro Devices, Inc. (AMD)
8.12.1 Company Overview
8.12.2 Financial Analysis
8.12.3 Strategic Positioning
8.12.4 Info Graphic Analysis
8.14 General Vision Inc.
8.14.1 Company Overview
8.14.2 Financial Analysis
8.14.3 Strategic Positioning
8.14.4 Info Graphic Analysis
8.15 Huawei Technologies Co. Ltd. (Huawei)
8.15.1 Company Overview
8.15.2 Financial Analysis
8.15.3 Strategic Positioning
8.15.4 Info Graphic Analysis
8.16 Graphcore Limited (Graphcore)
8.15.1 Company Overview
8.15.2 Financial Analysis
8.15.3 Strategic Positioning
8.15.4 Info Graphic Analysis
8.17 MediaTek Inc (MediaTek)
8.16.1 Company Overview
8.16.2 Financial Analysis
8.16.3 Strategic Positioning
8.16.4 Info Graphic Analysis
8.18 Fujitsu Limited (Fujitsu)
8.17.1 Company Overview
8.17.2 Financial Analysis
8.17.3 Strategic Positioning
8.17.4 Info Graphic Analysis
8.19 Wave Computing Inc (Wave Computing)
8.18.1 Company Overview
8.18.2 Financial Analysis
8.18.3 Strategic Positioning
8.18.4 Info Graphic Analysis
8.20 Mythic
8.20.1 Company Overview
8.20.2 Financial Analysis
8.20.3 Strategic Positioning
8.20.4 Info Graphic Analysis
8.21 Zero ASIC
8.21.1 Company Overview
8.21.2 Financial Analysis
8.21.3 Strategic Positioning
8.21.4 Info Graphic Analysis
8.22.1 Company Overview
8.22.2 Financial Analysis
8.22.3 Strategic Positioning
8.22.4 Info Graphic Analysis
8.23 Tenstorrent Inc. (Tenstorrent)
8.23.1 Company Overview
8.23.2 Financial Analysis
8.23.3 Strategic Positioning
8.23.4 Info Graphic Analysis
8.24 SambaNova Systems Inc (SambaNova)
8.24.1 Company Overview
8.24.2 Financial Analysis
8.24.3 Strategic Positioning
8.24.4 Info Graphic Analysis
8.25 Kalray Corporation (Kalray)
8.25.1 Company Overview
8.25.2 Financial Analysis
8.25.3 Strategic Positioning
8.25.4 Info Graphic Analysis
8.26 XMOS Limited (XMOS)
8.25.1 Company Overview
8.25.2 Financial Analysis
8.25.3 Strategic Positioning
8.25.4 Info Graphic Analysis
8.27 Greenwaves Technologies
8.26.1 Company Overview
8.26.2 Financial Analysis
8.26.3 Strategic Positioning
8.26.4 Info Graphic Analysis
The Global Artificial Intelligence (Chipsets) Market has been studied from the year 2019 till 2027. However, the CAGR provided in the report is from the year 2022 to 2027. The research methodology involved three stages: Desk research, Primary research, and Analysis & Output from the entire research process.
The desk research involved a robust background study which meant referring to paid and unpaid databases to understand the market dynamics; mapping contracts from press releases; identifying the key players in the market, studying their product portfolio, competition level, annual reports/SEC filings & investor presentations; and learning the demand and supply-side analysis for the Artificial Intelligence (Chipsets) Market.
The primary research activity included telephonic conversations with more than 50 tier 1 industry consultants, distributors, and end-use product manufacturers.
Finally, based on the above thorough research process, an in-depth analysis was carried out considering the following aspects: market attractiveness, current & future market trends, market share analysis, SWOT analysis of the company and customer analytics.
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