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市場調查報告書

商品編碼

1577062

人工智慧 (AI) 晶片組市場、機會、成長動力、產業趨勢分析與預測，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個工作天內

價格

簡介目錄

2023 年，全球人工智慧 (AI) 晶片組市場價值為 350.5 億美元，預計 2024 年至 2032 年將以超過 34% 的年複合成長率(CAGR) 成長。需求適用於智慧家庭和智慧城市。人工智慧晶片組使智慧揚聲器、恆溫器和安全系統等設備能夠提供智慧家庭中的語音識別和能源管理等高級功能。在智慧城市中，這些晶片組透過即時處理大量資料來促進基礎設施管理、交通控制和公共安全。對能源效率、增強安全性和提高生活水準的關注正在推動人工智慧晶片組在城市規劃和家庭應用中的採用，使該領域成為市場擴張的重要貢獻者。

汽車產業是人工智慧晶片組的另一個主要採用者，利用它們來提高車輛安全性、效率和整體用戶體驗。先進駕駛輔助系統(ADAS) 和自動駕駛等人工智慧技術在很大程度上依賴這些晶片組來進行即時資料處理和決策。人工智慧晶片組運行機器學習演算法，可實現自適應巡航控制和自動緊急煞車等功能。隨著業界向全自動駕駛汽車發展，對高性能人工智慧晶片組的需求將持續成長。消費者對更安全、更便利的駕駛體驗的需求以及全球安全法規推動了這一趨勢，使汽車產業成為市場成長的關鍵驅動力。

AI晶片組市場依產品分為GPU、ASIC、FPGA和CPU。 2023年，GPU細分市場佔據主導地位，佔超過47%的佔有率。 GPU 因其卓越的平行處理能力而受到青睞，這對於處理複雜的人工智慧和機器學習任務至關重要。它們同時執行多個運算的能力使它們成為深度學習模型訓練和大規模人工智慧演算法執行的理想選擇，從而加速資料處理任務。 GPU 在消費者和企業人工智慧應用中的廣泛採用增強了它們的重要性。

從垂直產業來看，2023年汽車產業成長最快，複合年成長率超過40%。到 2032 年，在自動駕駛技術進步和 ADAS 功能需求不斷成長的推動下，該細分市場的市場價值預計將超過 660 億美元。

2023年，亞太地區在AI晶片組市場處於領先地位，佔超過50%的佔有率。該地區的主導地位源於其對先進技術的快速採用以及對人工智慧研發的大量投資，特別是在中國、日本和韓國。

產業生態系統分析
供應商矩陣
技術和創新格局
專利分析
重要新聞和舉措
監管環境
衝擊力
- 成長動力
  - 汽車產業需求不斷成長
  - 全球對智慧家庭和智慧城市的需求不斷成長
  - 人工智慧在智慧型手機和智慧型穿戴裝置中的整合度不斷提高
  - 全球工業自動化不斷發展
  - 資料中心人工智慧推理硬體的成長
- 產業陷阱與挑戰
  - 開發和生產成本高
  - 散熱和功耗問題
成長潛力分析
波特的分析
PESTEL分析

第 4 章：競爭格局

公司市佔率分析
競爭定位矩陣
戰略展望矩陣

第 5 章：市場估計與預測：按產品分類，2021-2032 年

主要趨勢
圖形處理器
專用積體電路
FPGA
中央處理器

第 6 章：市場估計與預測：按技術分類，2021-2032 年

主要趨勢
自然語言處理
機器人程式自動化
電腦視覺
網路安全
其他

第 7 章：市場估計與預測：按加工類型，2021-2032 年

主要趨勢
邊緣
雲

第 8 章：市場估計與預測：按產業垂直分類，2021-2032 年

主要趨勢
消費性電子產品
媒體與廣告
BFSI
資訊科技和電信
零售
衛生保健
汽車
其他

第 9 章：市場估計與預測：按地區，2021-2032 年

主要趨勢
北美洲
- 美國
- 加拿大
歐洲
- 英國
- 德國
- 法國
- 義大利
- 西班牙
- 歐洲其他地區
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 澳新銀行
- 亞太地區其他地區
拉丁美洲
- 巴西
- 墨西哥
- 拉丁美洲其他地區
MEA
- 阿拉伯聯合大公國
- 沙烏地阿拉伯
- 南非
- MEA 的其餘部分

第 10 章：公司簡介

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

簡介目錄

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