AI加速器晶片市場：現況分析與預測（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個工作天內

價格

簡介目錄

2022年AI加速器晶片市場估值為151億美元，在預測期內（2023-2030年）將成長約37.4%，預計穩定成長。此外，世界各地的公司不斷探索新技術相關領域（例如基於量子力學原理的神經擬態計算）的研究和開發舉措，將帶來比目前使用的傳統方法更高的效率。我們的目標是改進。此外，對人工智慧新創公司的投資和人工智慧相關項目的資金正在迅速增加，導致對人工智慧加速器的需求增加。例如，2023 年 11 月 30 日，Microsoft宣布計劃未來三年向英國注資 25 億英鎊（32 億美元），這可能會支持人工智慧的未來成長。

依晶片類型，市場分為 GPU、ASIC、FPGA、CPU 等。其中，專用積體電路（ASIC）領域目前引領細分市場。這一趨勢是由深度學習、自然語言處理和電腦視覺等各種應用對高效能運算的需求不斷增長所推動的。此外，與通用圖形處理單元 (GPGPU) 和現場可編程閘陣列 (FPGA) 等其他類型的晶片相比，ASIC 提供最佳化的性能和功效，從而推動了需求。

依處理類型，市場分為邊緣和雲。其中，由於越來越多地採用基於雲端的服務和平台，雲端領域目前在AI加速器晶片市場中佔有很大份額。這是因為與其他解決方案相比，雲端運算提供了可擴展性、靈活性和成本節約。此外，Amazon網路服務 (AWS)、Microsoft Azure 和Google雲端平台等雲端供應商正在大力投資開發自己的人工智慧加速器，以支援各自的機器學習和人工智慧計畫。

依產業劃分，市場分為汽車、家電、醫療保健、製造業等。其中，消費性電子領域由於智慧型手機、平板電腦、遊戲機等智慧型設備的需求不斷增長，正在引領AI加速器晶片市場。這些設備需要先進的人工智慧演算法來支援語音助理、影像辨識和自然語言處理等功能。此外，擴增實境（AR）和虛擬實境（VR）等技術的出現進一步推動了消費性電子產品對高效能人工智慧處理器的需求。

為了更了解AI加速晶片的市場介紹，市場分為北美（美國、加拿大等北美地區）、歐洲（德國、英國、法國、西班牙、義大利等歐洲地區）、亞太地區（中國、日本、印度、世界其他地區（亞太地區）和世界其他地區。由於Google、Microsoft、IBM和NVIDIA等科技巨頭的強勁存在，推動人工智慧研發的創新和投資，北美人工智慧加速器晶片市場預計在預測期內將大幅成長。此外，雲端運算服務和邊緣人工智慧應用在醫療保健、製造和零售等行業的日益採用也將有助於市場擴張。此外，政府支持人工智慧技術發展的舉措，特別是在自動駕駛汽車和智慧城市領域，可能會為人工智慧加速器晶片創造新的商機。

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