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市场调查报告书

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1577062

人工智慧 (AI) 晶片组市场、机会、成长动力、产业趋势分析与预测，2024-2032 年

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

出版日期: 2024年08月07日 | 出版商:

Global Market Insights Inc. | 英文 250 Pages | 商品交期: 2-3个工作天内

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简介目录

2023 年，全球人工智慧 (AI) 晶片组市场价值为 350.5 亿美元，预计 2024 年至 2032 年将以超过 34% 的年复合成长率(CAGR) 成长。需求适用于智慧家庭和智慧城市。人工智慧晶片组使智慧扬声器、恆温器和安全系统等设备能够提供智慧家庭中的语音识别和能源管理等高级功能。在智慧城市中，这些晶片组透过即时处理大量资料来促进基础设施管理、交通控制和公共安全。对能源效率、增强安全性和提高生活水平的关注正在推动人工智慧晶片组在城市规划和家庭应用中的采用，使该领域成为市场扩张的重要贡献者。

汽车产业是人工智慧晶片组的另一个主要采用者，利用它们来提高车辆安全性、效率和整体用户体验。先进驾驶辅助系统(ADAS) 和自动驾驶等人工智慧技术在很大程度上依赖这些晶片组来进行即时资料处理和决策。人工智慧晶片组运行机器学习演算法，可实现自适应巡航控制和自动紧急煞车等功能。随着业界向全自动驾驶汽车发展，对高性能人工智慧晶片组的需求将持续成长。消费者对更安全、更便利的驾驶体验的需求以及全球安全法规推动了这一趋势，使汽车产业成为市场成长的关键驱动力。

AI晶片组市场依产品分为GPU、ASIC、FPGA和CPU。 2023年，GPU细分市场占据主导地位，占超过47%的份额。 GPU 因其卓越的平行处理能力而受到青睐，这对于处理复杂的人工智慧和机器学习任务至关重要。它们同时执行多个运算的能力使它们成为深度学习模型训练和大规模人工智慧演算法执行的理想选择，从而加速资料处理任务。 GPU 在消费者和企业人工智慧应用中的广泛采用增强了它们的重要性。

从垂直产业来看，2023年汽车产业成长最快，复合年增长率超过40%。到 2032 年，在自动驾驶技术进步和 ADAS 功能需求不断增长的推动下，该细分市场的市场价值预计将超过 660 亿美元。

2023年，亚太地区在AI晶片组市场处于领先地位，占超过50%的份额。该地区的主导地位源于其对先进技术的快速采用以及对人工智慧研发的大量投资，特别是在中国、日本和韩国。

产业生态系统分析
供应商矩阵
技术和创新格局
专利分析
重要新闻和倡议
监管环境
衝击力
- 成长动力
  - 汽车产业需求不断成长
  - 全球对智慧家庭和智慧城市的需求不断增长
  - 人工智慧在智慧型手机和智慧型穿戴装置中的整合度不断提高
  - 全球工业自动化不断发展
  - 资料中心人工智慧推理硬体的成长
- 产业陷阱与挑战
  - 开发和生产成本高
  - 散热和功耗问题
成长潜力分析
波特的分析
PESTEL分析

第 4 章：竞争格局

公司市占率分析
竞争定位矩阵
战略展望矩阵

第 5 章：市场估计与预测：按产品分类，2021-2032 年

主要趋势
图形处理器
专用积体电路
FPGA
中央处理器

第 6 章：市场估计与预测：按技术划分，2021-2032 年

主要趋势
自然语言处理
机器人程式自动化
电脑视觉
网路安全
其他的

第 7 章：市场估计与预测：按加工类型，2021-2032 年

主要趋势
边缘
云

第 8 章：市场估计与预测：按产业垂直划分，2021-2032 年

主要趋势
消费性电子产品
媒体与广告
BFSI
资讯科技和电信
零售
卫生保健
汽车
其他的

第 9 章：市场估计与预测：按地区，2021-2032 年

主要趋势
北美洲
- 我们
- 加拿大
欧洲
- 英国
- 德国
- 法国
- 义大利
- 西班牙
- 欧洲其他地区
亚太地区
- 中国
- 印度
- 日本
- 韩国
- 澳新银行
- 亚太地区其他地区
拉丁美洲
- 巴西
- 墨西哥
- 拉丁美洲其他地区
MEA
- 阿联酋
- 沙乌地阿拉伯
- 南非
- MEA 的其余部分

第 10 章：公司简介

Alphabet Inc.
AMD (Advanced Micro Devices)
Analog Devices, Inc.
Apple Inc.
Arm Ltd.
Blaize
Graphcore
Groq, Inc.
Hailo
Huawei Technologies Co., Ltd.
IBM
Imagination Technologies
Infineon Technologies Inc
Intel Corporation
Kalray
LG Electronics
MediaTek Inc.
Micron Technology Inc
NVIDIA Corporation
NXP Semiconductors
Qualcomm Technologies, Inc
ROHM Co., Ltd.
Samsung Electronics Co., Ltd.
STMicroelectronics
Texas Instruments Incorporated

简介目录

Product Code: 4267

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.

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