Artificial Intelligence Chip Market to reach USD 146.93 Mn by 2029, growing at a CAGR of 37.5 percent and forecast (2022-2029)

Artificial Intelligence Chip Market is segmented into Artificial Intelligence Chip Type, Technology, Application and Region. For the estimation of the Artificial Intelligence Chip Market size, the bottom-up approach was used.


Pune, April 28, 2023 (GLOBE NEWSWIRE) -- Maximize Market Research, an international business & consultancy firm has recently published a research report on the “Artificial Intelligence Chip Market”. The total global market for the “Artificial Intelligence Chip Market” was valued at USD 11.5 Bn in 2022 and is expected to grow at a CAGR of 37.5 percent over the forecast period to reach USD 146.93 Bn by 2029.

Market Size in 2021USD 11.5 Bn
Market Size in 2029USD 146.93 Bn
CAGR37.5 percent (2023-2029)        
Forecast Period2023-2029
Base Year2022
Number of Pages265
No. of Tables129
No. of Charts and Figures121
Segment CoveredBy Artificial Intelligence Chip Type, Technology, Application and Region
Regional ScopeNorth America, Europe, Asia Pacific, Middle East and Africa, South America
Report CoverageMarket Share, Size & Forecast by Revenue | 2023−2029, Market Dynamics, Growth Drivers, Restraints, Investment Opportunities, and Key Trends, Competitive Landscape, Key Players Benchmarking, Competitive Analysis, MMR Competition Matrix, Competitive Leadership Mapping, Global Key Players’ Market Ranking Analysis.

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Artificial Intelligence Chip Market Report Scope and Research Methodology

The report provides an extensive analysis of the Artificial Intelligence Chip Market including market drivers, opportunities, challenges and threats. Key players’ growth strategies and the key segment is included in the report for more in-depth details. Top impacting factors & major investment pockets are highlighted and major countries in each region are analyzed and their revenue contribution is mentioned in the report. The report offers an in-depth analysis of changing Artificial Intelligence Chip Market dynamics, major segments, value chains, competitive scenarios, and market regional growth. The Artificial Intelligence Chip Market report analysis guide to leading players, investors, shareholders, and start-ups in devising strategies for sustainable growth and gaining a competitive edge in the market. SWOT analysis was used to compute the strengths and weaknesses of the Artificial Intelligence Chip industry.

Artificial Intelligence Chip Market Overview

AI chips are built with specific architecture and have integrated AI acceleration to support deep learning-based applications, which is known as active natural network (ANN) or deep neural network (DNN). The AI chips with their hardware architectures and complementary packaging, memory, storage and interconnect technology make it possible to infuse AI into a broad spectrum of applications and help turn data into information and then into knowledge.

AI for smart automobiles to Boost the market Growth

Smart AI Chips are used in automation systems and devices such as smartphones and smart vehicles. The chip is intended to handle real-time video signals from several high-resolution cameras in order to provide situational awareness to the car's control system. The projected development of autonomous robotics and the emergence of quantum computing is a responsible driver for the Artificial Intelligence Chip Market growth. However, the smart city demand is expected to create opportunities for market growth. This is due to linked infrastructure and the use of digital and smart technologies to provide automated services to clients.

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Asia Pacific is expected to account for the global Artificial Intelligence Chip Market share over the forecast period

Technological development is a main influencing factor for regional growth. China holds the artificial intelligence chip market in the Asia-Pacific region thanks to the country's access to cutting-edge manufacturing infrastructure through manufacturers. An increase in investment by major companies and government organizations in semiconductor research and chip start-up development, to support smart infrastructure across industrial and manufacturing sectors. Such factors are expected to drive the market growth during the forecast period.

Artificial Intelligence Chip Market Segmentation

By Chip Type:

• GPU
• ASIC
• FPGA
• CPU
• Other
Based on the Chip Type, the CPU segment to dominate the Artificial Intelligence Chip Market over the forecast period

In 2022, the CPU type segment dominated the global Artificial Intelligence Chip Market share. These chips are more effective and power-efficiently to carry out activities like speech recognition. The Ai chip market for CPU chips is highly competitive, which is used in smart vehicles and smartphones. The high demand for automotive vehicles or smart vehicles and the growth of automation robots are expected to drive the market.

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By Technology:

• System on Chip
• System in Package
• Multi-Chip Module
• Other

By Application:
• Nature Language Processing
• Robotic
• Computer Vision
• Network Security
• Other
Based on Application, the Robotics segment accounted for the Artificial Intelligence Chip Market share in 2022

The robotic type segment is expected to grow at a significant CAGR over the forecast period in the Artificial Intelligence Chip Market. The growing need for AI chips in the robotic industry is a responsible factor for market growth. Businesses and various industries’ adoption of cutting-edge production is expected to drive market growth.

Artificial Intelligence Chip Market’s Key Players include:

• Alphabet
• Apple
• Arm
• Intel
• Nvidia
• Advanced Micro Devices
• Baidu
• Graphcore
• Qualcomm
• Adapteva
• Thinci
• Mythic AI
• Samsung
• Taiwan Semiconductor Manufacturing Company
• HiSilicon
• IBM
• Xilinx
• Via
• LG
• Imagination Technologies
• MediaTek
• Wave Computing
• SambaNova
• Groq
• Kalray.

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Key questions answered in the Artificial Intelligence Chip Market are:

  • What are Artificial Intelligence Chips?
  • What was the Artificial Intelligence Chip Market size in 2022?
  • What is the expected Artificial Intelligence Chip Market size by 2029?
  • What is the growth rate of the Artificial Intelligence Chip Market?
  • What are the key benefits of the Artificial Intelligence Chip Market?
  • What are the new trends in Artificial Intelligence Chips?
  • What are the driving, opportunity and restraining factors in the global Artificial Intelligence Chip Market?
  • Which are the factors expected to drive the Artificial Intelligence Chip Market growth?
  • Which factors are expected to restrain the Artificial Intelligence Chip Market growth?
  • Which segment dominated the Artificial Intelligence Chip Market growth?
  • What is the demand pattern for the Artificial Intelligence Chip Market?
  • Which region held the largest share of the Artificial Intelligence Chip Market?
  • Who are the key players in the Artificial Intelligence Chip Market?

Key Offerings:

  • Past Market Size and Competitive Landscape (2018 to 2021)
  • Past Pricing and price curve by region (2018 to 2021)
  • Market Size, Share, Size & Forecast by different segment | 2022−2029
  • Market Dynamics – Growth Drivers, Restraints, Opportunities, and Key Trends by Region
  • Market Segmentation – A detailed analysis by Chip Type, Technology, Application and Region
  • Competitive Landscape – Profiles of selected key players by region from a strategic perspective
    • Competitive landscape – Market Leaders, Market Followers, Regional player
    • Competitive benchmarking of key players by region
  • PESTLE Analysis
  • PORTER’s analysis
  • Value chain and supply chain analysis
  • Legal Aspects of Business by Region
  • Lucrative business opportunities with SWOT analysis
  • Recommendations

Maximize Market Research is a leading Electronics research firm that has also published the following reports:

Artificial Intelligence (AI) Chipset Market: The total market size was valued at USD 10.6 Bn in 2021 and the total revenue is expected to grow at a CAGR of 40 percent from 2022 to 2029, reaching USD 156.43 Bn. The increasingly enormous and complex dataset driving the requirement for AI, and improving computing power and declining hardware cost are expected to drive market growth.

NFC Chips Market: The total market size was valued at USD 4.34 Bn in 2021 and the total revenue is expected to grow at a CAGR of 24.49 percent from 2022 to 2029, reaching USD 25.05 Bn. The increasing need for a reliable and efficient mode of information is expected to drive market growth.

Vehicle Intelligence System Market: The total market size was valued at USD 25.38 Bn in 2021 and the total revenue is expected to grow at a CAGR of 13.11 percent from 2022 to 2029, reaching USD 68.00 Bn. The increasing population and an increase in the per capita income of people are expected to drive market growth.

Envelope Tracking Chips Market: The total market size was valued at USD 1.88 Bn in 2021 and the total revenue is expected to grow at a CAGR of 9.6 percent from 2022 to 2029, reaching USD 3.92 Bn. The increasing demand for highly efficient power management technologies for RF amplifiers is expected to drive market growth.

Wi-Fi Chipset Market: The total market size was valued at USD 20.43 Bn in 2022 and the total revenue is expected to grow at a CAGR of 4.77 percent from 2023 to 2029, reaching USD 28.30 Bn. The increasing technology and growth of smartphone users are expected to drive market growth.

About Maximize Market Research:

Maximize Market Research is a multifaceted market research and consulting company with professionals from several industries. Some of the industries we cover include medical devices, pharmaceutical manufacturers, science and engineering, electronic Industries, industrial equipment, technology, and communication, cars, and automobiles, chemical products and substances, general merchandise, beverages, personal care, and automated systems. To mention a few, we provide market-verified Type estimations, technical trend analysis, crucial market research, strategic advice, competition analysis, production and demand analysis, and client impact studies.

 

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