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機械学習チップ市場:世界の産業動向、シェア、規模、成長機会、2023-2028年予測Machine Learning Chip Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2023-2028 |
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機械学習チップ市場:世界の産業動向、シェア、規模、成長機会、2023-2028年予測 |
出版日: 2023年06月14日
発行: IMARC
ページ情報: 英文 138 Pages
納期: 2~3営業日
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世界の機械学習チップ市場規模は2022年に78億米ドルに達しました。今後、IMARC Groupは、2023年から2028年にかけて25.4%の成長率(CAGR)を示し、2028年までに350億米ドルに達すると予測しています。量子コンピューティングの急速な台頭、計算問題を解決する効率的なシステムに対する需要の高まり、スマートシティやスマートホームの市場開拓の高まりなどが、市場を牽引する主な要因となっています。
機械学習(ML)チップは、深層学習ベースのアプリケーションをサポートするように設計された人工知能(AI)技術で構成されています。システムオンチップ(SoC)、マルチチップモジュール、システムインパッケージなどさまざまな技術が含まれ、ハードウェアインフラにはコンピューティング、ストレージ、ネットワーキングが含まれます。知的財産コアを強化し、設計とツールフローを改善するためにシステムにインストールされます。費用対効果が高く、ワークフローにおけるエラーを防止し、膨大なデータを効率的に保存します。高速、高効率を実現し、大型のトランジスタに比べて消費エネルギーが少ないです。これに加えて、性能、消費電力、最適化、分析の向上にも役立っています。その結果、MLチップは世界中の自動車、ヘルスケア、小売、メディア・広告、情報技術(IT)・通信、銀行・金融サービス・保険(BFSI)業界で広く採用されています。
現在、世界中でデジタル化の傾向が高まり、IT・通信産業が拡大していることは、市場の成長を支える重要な要因の一つとなっています。また、サイバー攻撃の増加により、企業はデータベース管理や不正検知システムを利用するようになっており、これが市場の成長を後押ししています。これとは別に、世界中のスマートシティやスマートホームの開発によるMLチップの需要の高まりは、業界の投資家に有利な成長機会を提供しています。さらに、量子コンピューティングの台頭の増加は、世界中の人間の介入とエラーを減らすためのロボット工学へのMLチップの実装とともに、市場にプラスの影響を与えています。これに加えて、数学的および計算問題を解決するための効率的なシステムに対する需要が高まっていることから、MLチップの採用が増加しており、市場の見通しが明るくなっています。さらに、ビッグデータ解析とクラウドコンピューティングの統合が進み、世界中の数多くの産業で強化されたサービスが提供されていることも、市場の成長に寄与しています。これは、リアルタイムの消費者行動洞察のためのMLチップの利用の増加と相まって、市場の成長を促しています。さらに、ゲーム業界では、いくつかの複雑なタスクを実行するために、CPUからGPUへの嗜好が高まっており、市場の成長を強化しています。
The global machine learning chip market size reached US$ 7.8 Billion in 2022. Looking forward, IMARC Group expects the market to reach US$ 35.0 Billion by 2028, exhibiting a growth rate (CAGR) of 25.4% during 2023-2028. The rapid emergence of quantum computing, increasing demand for efficient systems to solve computational problems, and rising development of smart cities and smart homes represent some of the key factors driving the market.
Machine learning (ML) chip comprises artificial intelligence (AI) technology that that is designed to support deep learning-based applications. It involves various technologies, such as system-on-chip (SoC), multi-chip module, and system-in-package, and its hardware infrastructure includes computing, storing, and networking. It is installed in a system to enhance intellectual property cores and improve design and tool flows. It is cost-effective and assists in preventing errors in a workflow, and efficiently saves a huge amount of data. It offers high speed, increases efficiency, and consumes less energy as compared to larger transistors. Besides this, it aids in improving performance, power, optimization, and analytics. As a result, the ML chip is widely employed in the automotive, healthcare, retail, media and advertising, information technology (IT) and telecommunication, and banking, financial services, and insurance (BFSI) industries across the globe.
At present, the rising trend of digitalization and expansion of the IT and telecommunication industry around the world represent one of the key factors supporting the growth of the market. In addition, the increasing number of cyber-attacks encourages businesses to utilize database management and fraud detection systems, which is propelling the growth of the market. Apart from this, the rising demand for ML chips due to the development of smart cities and smart homes across the globe is offering lucrative growth opportunities to industry investors. Moreover, the increasing emergence of quantum computing, along with the implementation of ML chips in robotics to reduce human intervention and errors around the world, is positively influencing the market. Besides this, the growing adoption of ML chips on account of the escalating demand for efficient systems to solve mathematical and computational problems is offering a positive market outlook. Additionally, the rising integration of big data analytics and cloud computing to provide enhanced services among numerous industries across the globe is contributing to the growth of the market. This, coupled with the increasing utilization of ML chips for real-time consumer behavior insights, is impelling the growth of the market. Furthermore, the rising preference toward GPUs from CPUs to perform several complex tasks in the gaming industry is strengthening the market growth.
IMARC Group provides an analysis of the key trends in each sub-segment of the global machine learning chip market report, along with forecasts at the global, regional and country level from 2023-2028. Our report has categorized the market based on technology, chip type and industry vertical.
System-on-Chip (SoC)
System-in-Package
Multi-chip Module
Others
The report has provided a detailed breakup and analysis of the machine learning chip market based on the technology. This includes system-on-chip (SoC), system-in-package, multi-chip module, and others. According to the report, system-on-chip (SoC) represented the largest segment.
GPU
ASIC
FPGA
CPU
Others
A detailed breakup and analysis of the machine learning chip market based on the chip type has also been provided in the report. This includes GPU, ASIC, FPGA, CPU, and others. According to the report, GPU accounted for the largest market share.
BFSI
IT and Telecom
Media and Advertising
Retail
Healthcare
Automotive
Others
A detailed breakup and analysis of the machine learning chip market based on the industry vertical has also been provided in the report. This includes BFSI, IT and telecom, media and advertising, retail, healthcare, automotive, and others. According to the report, BFSI accounted for the largest market share.
North America
United States
Canada
Asia-Pacific
China
Japan
India
South Korea
Australia
Indonesia
Others
Europe
Germany
France
United Kingdom
Italy
Spain
Russia
Others
Latin America
Brazil
Mexico
Others
Middle East and Africa
The report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America (the United States and Canada) was the largest market for machine learning chip. Some of the factors driving the North America machine learning chip market included the growing concern about security of critical infrastructure, increasing demand for quantum computing, rising utilization in the IT industry, etc.
The report has also provided a comprehensive analysis of the competitive landscape in the global machine learning chip market. Competitive analysis such as market structure, market share by key players, player positioning, top winning strategies, competitive dashboard, and company evaluation quadrant has been covered in the report. Also, detailed profiles of all major companies have been provided. Some of the companies covered include Advanced Micro Devices Inc., Amazon Web Services Inc. (Amazon.com Inc.), Cerebras Inc., Google LLC, Graphcore, Intel Corporation, International Business Machines Corporation, NVIDIA Corporation, Qualcomm Incorporated, Samsung Electronics Co. Ltd., Taiwan Semiconductor Manufacturing Company Limited., etc. Kindly note that this only represents a partial list of companies, and the complete list has been provided in the report.
Key Questions Answered in This Report
1. What was the size of the global machine learning chip market in 2022?
2. What is the expected growth rate of the global machine learning chip market during 2023-2028?
3. What are the key factors driving the global machine learning chip market?
4. What has been the impact of COVID-19 on the global machine learning chip market?
5. What is the breakup of the global machine learning chip market based on the technology?
6. What is the breakup of the global machine learning chip market based on the chip type?
7. What is the breakup of the global machine learning chip market based on the industry vertical?
8. What are the key regions in the global machine learning chip market?
9. Who are the key players/companies in the global machine learning chip market?