Artificial Intelligence (AI) Chipsets Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032

Description

The Global Artificial Intelligence (AI) Chipsets Market was valued at USD 35.05 billion in 2023 and is projected to grow at a compound annual growth rate (CAGR) of over 34% from 2024 to 2032. A key driver of this growth is the increasing demand for smart homes and smart cities. AI chipsets enable devices like smart speakers, thermostats, and security systems to provide advanced features such as voice recognition and energy management in smart homes. In smart cities, these chipsets facilitate infrastructure management, traffic control, and public safety by processing large amounts of data in real-time. The focus on energy efficiency, enhanced security, and improved living standards is driving the adoption of AI chipsets in urban planning and household applications, making this sector a significant contributor to the market's expansion.

The automotive industry is another major adopter of AI chipsets, leveraging them to improve vehicle safety, efficiency, and overall user experience. AI-powered technologies like advanced driver assistance systems (ADAS) and autonomous driving rely heavily on these chipsets for real-time data processing and decision-making. AI chipsets run machine learning algorithms that enable features such as adaptive cruise control and automatic emergency braking. As the industry moves toward fully autonomous vehicles, the need for high-performance AI chipsets will continue to grow. This trend is fueled by both consumer demand for safer, more convenient driving experiences and global safety regulations, positioning the automotive sector as a key driver of market growth.

The AI chipsets market is segmented by product into GPU, ASIC, FPGA, and CPU. In 2023, the GPU segment dominated the market, holding over 47% of the share. GPUs are preferred for their superior parallel processing capabilities, essential for handling complex AI and machine learning tasks. Their ability to perform multiple computations simultaneously makes them ideal for deep learning model training and large-scale AI algorithm execution, accelerating data processing tasks. The widespread adoption of GPUs in both consumer and enterprise AI applications reinforces their prominence.

In terms of industry verticals, the automotive segment was the fastest-growing in 2023, with a CAGR exceeding 40%. By 2032, this segment's market value is expected to surpass USD 66 billion, driven by advancements in autonomous driving technologies and the rising demand for ADAS features.

Asia Pacific led the AI chipsets market in 2023, holding over 50% of the share. The region's dominance stems from its rapid adoption of advanced technologies and significant investments in AI research and development, particularly in China, Japan, and South Korea.

Product Code: 4267

Chapter 1 Scope and Methodology

1.1 Market scope and definition
1.2 Base estimates and calculations
1.3 Forecast parameters
1.4 Data sources
- 1.4.1 Primary
- 1.4.2 Secondary
  - 1.4.2.1 Paid sources
  - 1.4.2.2 Public sources

Chapter 2 Executive Summary

2.1 Industry 360° synopsis, 2021-2032

Chapter 3 Industry Insights

3.1 Industry ecosystem analysis
3.2 Vendor matrix
3.3 Technology and innovation landscape
3.4 Patent analysis
3.5 Key news and initiatives
3.6 Regulatory landscape
3.7 Impact forces
- 3.7.1 Growth drivers
  - 3.7.1.1 Rising demand from automotive industry
  - 3.7.1.2 Increasing demand for smart homes and smart cities across the globe
  - 3.7.1.3 Increasing integration of AI in smartphone and smart wearable devices
  - 3.7.1.4 Growing industrial automation across the globe
  - 3.7.1.5 Growth of AI inferencing hardware in data centers
- 3.7.2 Industry pitfalls and challenges
  - 3.7.2.1 High development and production costs
  - 3.7.2.2 Heat dissipation and power consumption issues
3.8 Growth potential analysis
3.9 Porter's analysis
- 3.9.1 Supplier power
- 3.9.2 Buyer power
- 3.9.3 Threat of new entrants
- 3.9.4 Threat of substitutes
- 3.9.5 Industry rivalry
3.10 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

4.1 Company market share analysis
4.2 Competitive positioning matrix
4.3 Strategic outlook matrix

Chapter 5 Market Estimates and Forecast, By Product, 2021-2032 (USD Million and Units)

5.1 Key trends
5.2 GPU
5.3 ASIC
5.4 FPGA
5.5 CPU

Chapter 6 Market Estimates and Forecast, By Technology, 2021-2032 (USD Million and Units)

6.1 Key trends
6.2 NLP
6.3 RPA
6.4 Computer vision
6.5 Network security
6.6 Others

Chapter 7 Market Estimates and Forecast, By Processing Type, 2021-2032 (USD Million and Units)

7.1 Key trends
7.2 Edge
7.3 Cloud

Chapter 8 Market Estimates and Forecast, By Industry Vertical, 2021-2032 (USD Million and Units)

8.1 Key trends
8.2 Consumer electronics
8.3 Media and advertising
8.4 BFSI
8.5 IT and telecom
8.6 Retail
8.7 Healthcare
8.8 Automotive
8.9 Others

Chapter 9 Market Estimates and Forecast, By Region, 2021-2032 (USD Million and Units)

9.1 Key trends
9.2 North America
- 9.2.1 U.S.
- 9.2.2 Canada
9.3 Europe
- 9.3.1 UK
- 9.3.2 Germany
- 9.3.3 France
- 9.3.4 Italy
- 9.3.5 Spain
- 9.3.6 Rest of Europe
9.4 Asia Pacific
- 9.4.1 China
- 9.4.2 India
- 9.4.3 Japan
- 9.4.4 South Korea
- 9.4.5 ANZ
- 9.4.6 Rest of Asia Pacific
9.5 Latin America
- 9.5.1 Brazil
- 9.5.2 Mexico
- 9.5.3 Rest of Latin America
9.6 MEA
- 9.6.1 UAE
- 9.6.2 Saudi Arabia
- 9.6.3 South Africa
- 9.6.4 Rest of MEA

Chapter 10 Company Profiles

10.1 Alphabet Inc.
10.2 AMD (Advanced Micro Devices)
10.3 Analog Devices, Inc.
10.4 Apple Inc.
10.5 Arm Ltd.
10.6 Blaize
10.7 Graphcore
10.8 Groq, Inc.
10.9 Hailo
10.10 Huawei Technologies Co., Ltd.
10.11 IBM
10.12 Imagination Technologies
10.13 Infineon Technologies Inc
10.14 Intel Corporation
10.15 Kalray
10.16 LG Electronics
10.17 MediaTek Inc.
10.18 Micron Technology Inc
10.19 NVIDIA Corporation
10.20 NXP Semiconductors
10.21 Qualcomm Technologies, Inc
10.22 ROHM Co., Ltd.
10.23 Samsung Electronics Co., Ltd.
10.24 STMicroelectronics
10.25 Texas Instruments Incorporated