AI加速器晶片市场：现况分析与预测（2023-2030）

AI Accelerator Chips Market: Current Analysis and Forecast (2023-2030)

出版日期: 2024年01月30日 | 出版商:

UnivDatos Market Insights Pvt Ltd | 英文 149 Pages | 商品交期: 最快1-2个工作天内

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简介目录

2022年AI加速器晶片市场估值为151亿美元，在预测期内（2023-2030年）将成长约37.4%，预计稳定成长。此外，世界各地的公司不断探索新技术相关领域（例如基于量子力学原理的神经拟态计算）的研究和开发举措，将带来比目前使用的传统方法更高的效率。我们的目标是改进。此外，对人工智慧新创公司的投资和人工智慧相关项目的资金正在迅速增加，导致对人工智慧加速器的需求增加。例如，2023 年 11 月 30 日，Microsoft宣布计划未来三年向英国注资 25 亿英镑（32 亿美元），这可能会支持人工智慧的未来成长。

依晶片类型，市场分为 GPU、ASIC、FPGA、CPU 等。其中，专用积体电路（ASIC）领域目前引领细分市场。这一趋势是由深度学习、自然语言处理和电脑视觉等各种应用对高效能运算的需求不断增长所推动的。此外，与通用图形处理单元 (GPGPU) 和现场可编程闸阵列 (FPGA) 等其他类型的晶片相比，ASIC 提供最佳化的性能和功效，从而推动了需求。

依处理类型，市场分为边缘和云。其中，由于越来越多地采用基于云端的服务和平台，云端领域目前在AI加速器晶片市场中占有很大份额。这是因为与其他解决方案相比，云端运算提供了可扩展性、灵活性和成本节约。此外，Amazon网路服务 (AWS)、Microsoft Azure 和Google云端平台等云端供应商正在大力投资开发自己的人工智慧加速器，以支援各自的机器学习和人工智慧计画。

依产业划分，市场分为汽车、家电、医疗保健、製造业等。其中，消费性电子领域由于智慧型手机、平板电脑、游戏机等智慧型设备的需求不断增长，正在引领AI加速器晶片市场。这些设备需要先进的人工智慧演算法来支援语音助理、影像辨识和自然语言处理等功能。此外，扩增实境（AR）和虚拟实境（VR）等技术的出现进一步推动了消费性电子产品对高效能人工智慧处理器的需求。

为了更了解AI加速晶片的市场介绍，市场分为北美（美国、加拿大等北美地区）、欧洲（德国、英国、法国、西班牙、义大利等欧洲地区）、亚太地区（中国、日本、印度、世界其他地区（亚太地区）和世界其他地区。由于Google、Microsoft、IBM和NVIDIA等科技巨头的强劲存在，推动人工智慧研发的创新和投资，北美人工智慧加速器晶片市场预计在预测期内将大幅成长。此外，云端运算服务和边缘人工智慧应用在医疗保健、製造和零售等行业的日益采用也将有助于市场扩张。此外，政府支持人工智慧技术发展的举措，特别是在自动驾驶汽车和智慧城市领域，可能会为人工智慧加速器晶片创造新的商机。

AI accelerator chips are specialized microprocessors designed specifically for speeding up complex artificial intelligence computations like deep learning neural networks (DNNs), which require massive amounts of data processing power along with low latency requirements so they can perform real-time tasks efficiently without any lag issues whatsoever. The market for AI accelerator chips has been growing rapidly in recent years due to the increasing demand for AI applications in various industries such as technology, healthcare, finance, retail, and more.

The AI Accelerator Chips Market was valued at 15.1 billion in 2022 and is expected to grow at a steady rate of around 37.4% in the forecasted period (2023-2030) owing to increasing demand for AI applications in various industries such as technology, healthcare, finance, retail, and more. Moreover, continuous research & development initiatives by companies worldwide exploring new technologies related fields like neuromorphic computing based on quantum mechanics principles aiming even greater efficiency gains than traditional methods used nowadays. Also, rapidly increasing investment in AI startups and funding for AI-related projects, leading to an increase in demand for AI accelerators. For instance, on 30 November 2023, Microsoft announced a plan to pump £2.5 billion ($3.2 billion) into Britain over the next three years, which will underpin future growth in artificial intelligence.

Based on chip type, the market is categorised into GPU, ASIC, FPGA, CPU, and others. Among these, the Application-Specific Integrated Circuit (ASIC) segment currently leads the AI accelerator chips market. The growing demand for high-performance computing in various applications such as deep learning, natural language processing, and computer vision has driven this trend. Additionally, ASICs offer optimized performance and power efficiency compared to other types of chips like General Purpose Graphics Processing Units (GPGPUs) or Field Programmable Gate Arrays (FPGAs) which drives its demand.

Based on the processing type, the market is bifurcated into edge, and cloud. Among these, the Cloud segment currently holds a larger share in the AI accelerator chips market due to the increasing adoption of cloud-based services and platforms. This is because cloud computing offers scalability, flexibility, and cost savings compared to other solutions. Furthermore, cloud providers like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform are investing heavily in developing their own AI accelerators to support their respective machine learning and artificial intelligence initiatives.

Based on the industry, the market is segmented into automotive, consumer electronics, healthcare, manufacturing, and others. Among these, the Consumer Electronics segment leads the AI accelerator chips market due to the growing demand for smart devices such as smartphones, tablets, and gaming consoles. These devices require advanced AI algorithms to enhance features like voice assistants, image recognition, and natural language processing. Additionally, the emergence of technologies like Augmented Reality (AR) and Virtual Reality (VR) has further fueled the need for high-performance AI processors in consumer electronics.

For a better understanding of the market adoption of AI Accelerator Chips, the market is analyzed based on its worldwide presence in countries such as North America (U.S., Canada, and the Rest of North America), Europe (Germany, U.K., France, Spain, Italy, Rest of Europe), Asia-Pacific (China, Japan, India, Rest of Asia-Pacific), Rest of World. The AI accelerator chips market in North America is poised for significant growth during the forecast period due to the region's strong presence of technology giants like Google, Microsoft, IBM, and NVIDIA driving innovation and investment in AI research and development. Moreover, the growing adoption of cloud computing services and edge AI applications in industries like healthcare, manufacturing, and retail will also contribute to market expansion. Furthermore, government initiatives supporting the development of AI technologies, particularly in the fields of autonomous vehicles and smart cities, will create new opportunities for AI accelerator chips.

Some of the major players operating in the market include NVIDIA Corporation; Intel technologies; Qualcomm Technologies Inc.; International Business Machines Corporation.; Micron Technology Inc.; Microsoft Corporation; Alphabet Inc. (Google Inc.); NXP Semiconductors N.V.; Advanced Micro Devices Inc. (AMD); Graphcore Limited.

1 MARKET INTRODUCTION

1.1. Market Definitions
1.2. Main Objective
1.3. Stakeholders
1.4. Limitation

2 RESEARCH METHODOLOGY OR ASSUMPTIONS

2.1. Research Process of the AI ACCELERATOR CHIPS MARKET
2.2. Research Methodology of the AI ACCELERATOR CHIPS MARKET
2.3. Respondent Profile

3 MARKET SYNOPSIS

4 EXECUTIVE SUMMARY

5 AI ACCELERATOR CHIPS MARKET REVENUE (USD BN), 2020-2030F

6 MARKET INSIGHTS BY CHIP TYPE

6.1. GPU
6.2. ASIC
6.3. FPGA
6.4. CPU
6.5. Others

7 MARKET INSIGHTS BY PROCESSING TYPE

7.1. Edge
7.2. Cloud

8 MARKET INSIGHTS BY INDUSTRY

8.1. Automotive
8.2. Consumer Electronics
8.3. Healthcare
8.4. Manufacturing
8.5. Others

9 MARKET INSIGHTS BY REGION

9.1. North America
- 9.1.1. U.S.
- 9.1.2. Canada
- 9.1.3. Rest of North America
9.2. Europe
- 9.2.1. Germany
- 9.2.2. U.K.
- 9.2.3. France
- 9.2.4. Italy
- 9.2.5. Spain
- 9.2.6. Rest of Europe
9.3. Asia-Pacific
- 9.3.1. China
- 9.3.2. Japan
- 9.3.3. India
- 9.3.4. Rest of Asia-Pacific
9.4. Rest of the World