AIチップセットの世界市場2022年~2029年:部品別、用途別、地域別

◆英語タイトル:Global AI Chipsets Market Size study & Forecast, by Component (Central Processing Unit (CPU), Graphics Processing Unit (GPU), and Neural Network Processor (NNP)), by Application (Consumer Electronics, Automotive, Healthcare, Automation & Robotics) and Regional Analysis, 2022-2029

Bizwit Research & Consultingが発行した調査報告書(BZW23FE0078)◆商品コード:BZW23FE0078
◆発行会社(リサーチ会社):Bizwit Research & Consulting
◆発行日:2023年1月29日
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❖ レポートの概要 ❖

Bizwit Research社は、2021年に約81.4億ドルであった世界のAIチップセット市場規模は、2022年から2029年の間にCAGR 39%増加すると予想しています。本書は、AIチップセットの世界市場について調査・分析を行い、エグゼクティブサマリー、市場定義・範囲、市場動向、産業分析、リスク分析(新型コロナウイルス感染症の影響)、部品別(中央処理装置(CPU)、画像処理装置(GPU)、ニューラルネットワークプロセッサ(NNP))分析、用途別(家電、自動車、医療、自動化・ロボット、その他)分析、地域別(北米、ヨーロッパ、アジア太平洋、中南米、その他地域)分析、競争分析、調査プロセスなどの内容をまとめています。また、本書で記載されている企業情報には、Intel Corporation、Huawei Technologies Co. Ltd、NVIDIA Corporation、Micron Technology Inc.、International Business Machine Corporationなどが含まれています。

・エグゼクティブサマリー
・市場定義・範囲
・市場動向
・産業分析
・リスク分析(新型コロナウイルス感染症の影響)
・世界AIチップセット市場規模:部品別
- 中央処理装置(CPU)の市場規模
- 画像処理装置(GPU)の市場規模
- ニューラルネットワークプロセッサ(NNP)の市場規模
・世界AIチップセット市場規模:用途別
- 家電における市場規模
- 自動車における市場規模
- 医療における市場規模
- 自動化・ロボットにおける市場規模
- その他用途における市場規模
・世界のAIチップセット市場規模:地域別
- 北米のAIチップセット市場
- ヨーロッパのAIチップセット市場
- アジア太平洋のAIチップセット市場
- 中南米のAIチップセット市場
- その他地域のAIチップセット市場
・競争分析
・調査プロセス

Global AI Chipsets Market is valued at approximately USD 8.14 billion in 2021 and is anticipated to grow with a healthy growth rate of more than 39% over the forecast period 2022-2029. AI Chipsets is an integrated circuit specialized for training and running neural networks, with the AI software architecture. It has the capability to perform demanding deep learning tasks such as object detection and segmentation in real time with minimal power consumption. The AI Chipsets market is expanding because of factors such emergence of quantum computing aid market. It’s an oligopolistic market dominated by IBM Corporation, Intel Corporation, Samsung Semiconductor (Samsung Electronics Co. Ltd) and Huawei Technologies Co. Ltd.
Quantum computing is globally accepted by most enterprises. It can help solve industry technical and business challenges such as cryptography, supply chain problems, financial modelling, and drug development. These are just some of the near-term accelerating challenges that classical computer technology must face in today’s approaches. For example, Google LLC’s Sycamore quantum computer is the fastest computer and can complete a task in about 200 seconds. Technologies such as artificial intelligence, machine learning, computer vision, big data, and AR/VR make quantum computing possible. A better understanding of quantum computing will increase the demand for AI chipsets and drive the growth of the industry. According to Statista, the revenue generated by the global quantum computing market was 412 million USD in 2020, it is expected to be increased to 8.6 billion USD by the time of 2027. Moreover, the rising adoption of cloud-based solutions and increased focus on human-aware AI systems is expected to boost the growth of the AI Chipsets market in the forecasting years. However, the lack of skilled ai potential workforce stifles market growth throughout the forecast period of 2022-2029.

The key regions considered for the Global AI Chipsets Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. Asia Pacific dominated the market in terms of revenue, owing to the dominance of branded products and the region’s increasing technological prevalence. In June 2019, Prime Minister Shinzo Abe announced plans to train 250,000 people a year in AI skills by 2025 for the purpose of human capital development. North America is expected to grow with the highest CAGR during the forecast period, owing to factors such as rising geriatric and target populations, an increase in the number of collaborations for development, geographic expansion of key players, and active participation of government and nonprofits organizations in the market space.

Major market player included in this report are:
Intel Corporation
Huawei Technologies Co. Ltd
NVIDIA Corporation
Micron Technology Inc.
International Business Machine Corporation
Advanced Micro Devices Inc. (AMD)
Xilinx Inc.
Graphcore
Samsung Semiconductor (Samsung Electronics Co. Ltd)
Media Tek Inc

Recent Developments in the Market:
 May 2022 – Intel introduces two new deep learning processors for instruction and inference: Habana Gaudi2 and Habana GrecoTM. These revolutionary processors provide customers with a highly efficient, high-performance deep learning computing option for concurrent training applications and inference installations in data centers, reducing the barrier to entry for AI for organizations of all sizes. Closing the gap in the market by lowering.
 February 2022 – Celestial AI, an AI accelerator company with its own hardware and software for machine learning chipsets, announced a $56 million Series A investment. The new funding will be used for product development and signing with strategic suppliers, including Broadcom.
 January 2022 – Nvidia and AMD have announced that the US government has introduced new restrictions banning China and Russia from high-end AI chips.
 March 2021 – Intel, in collaboration with the Central Board of Secondary Education (CBSE), has launched the AI for All initiative to develop a fundamental understanding of artificial intelligence in various industries.

Global AI Chipsets Market Report Scope:
Historical Data 2019-2020-2021
Base Year for Estimation 2021
Forecast period 2022-2029
Report Coverage Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
Segments Covered Component, Application, Region
Regional Scope North America; Europe; Asia Pacific; Latin America; Rest of the World
Customization Scope Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Component:
Central Processing Unit (CPU)
Graphics Processing Unit (GPU)
Neural Network Processor (NNP)
Other Components

By Application:
Consumer Electronics
Automotive
Healthcare
Automation and Robotics
Other Applications

By Region:
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE
Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
RoLA
Rest of the World

❖ レポートの目次 ❖

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2019-2029 (USD Billion)
1.2.1. AI Chipsets Market, by Region, 2019-2029 (USD Billion)
1.2.2. AI Chipsets Market, by Component, 2019-2029 (USD Billion)
1.2.3. AI Chipsets Market, by Application, 2019-2029 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global AI Chipsets Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global AI Chipsets Market Dynamics
3.1. AI Chipsets Market Impact Analysis (2019-2029)
3.1.1. Market Drivers
3.1.1.1. Emergence of Quantum Computing to Aid Market
3.1.2. Market Challenges
3.1.2.1. Lack of Skilled AI Potential Workforce
3.1.3. Market Opportunities
3.1.3.1. Rising Adoption of Cloud-based Solution
3.1.3.2. Increased Focus on Human-Aware AI System
Chapter 4. Global AI Chipsets Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Futuristic Approach to Porter’s 5 Force Model (2019-2029)
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. Industry Experts Prospective
4.7. Analyst Recommendation & Conclusion
Chapter 5. Risk Assessment: COVID-19 Impact
5.1. Assessment of the overall impact of COVID-19 on the industry
5.2. Pre COVID-19 and post COVID-19 Market scenario
Chapter 6. Global AI Chipsets Market, by Component
6.1. Market Snapshot
6.2. Global AI Chipsets Market by Component, Performance – Potential Analysis
6.3. Global AI Chipsets Market Estimates & Forecasts by Component 2019-2029 (USD Billion)
6.4. AI Chipsets Market, Sub Segment Analysis
6.4.1. Central Processing Unit (CPU)
6.4.2. Graphics Processing Unit (GPU)
6.4.3. Neural Network Processor (NNP)
6.4.4. Other Components
Chapter 7. Global AI Chipsets Market, by Application
7.1. Market Snapshot
7.2. Global AI Chipsets Market by Application, Performance – Potential Analysis
7.3. Global AI Chipsets Market Estimates & Forecasts by Application 2019-2029 (USD Billion)
7.4. AI Chipsets Market, Sub Segment Analysis
7.4.1. Consumer Electronics
7.4.2. Automotive
7.4.3. Healthcare
7.4.4. Automation and Robotics
7.4.5. Other Applications
Chapter 8. Global AI Chipsets Market, Regional Analysis
8.1. AI Chipsets Market, Regional Market Snapshot
8.2. North America AI Chipsets Market
8.2.1. U.S. AI Chipsets Market
8.2.1.1. Component breakdown estimates & forecasts, 2019-2029
8.2.1.2. Application breakdown estimates & forecasts, 2019-2029
8.2.2. Canada AI Chipsets Market
8.3. Europe AI Chipsets Market Snapshot
8.3.1. U.K. AI Chipsets Market
8.3.2. Germany AI Chipsets Market
8.3.3. France AI Chipsets Market
8.3.4. Spain AI Chipsets Market
8.3.5. Italy AI Chipsets Market
8.3.6. Rest of Europe AI Chipsets Market
8.4. Asia-Pacific AI Chipsets Market Snapshot
8.4.1. China AI Chipsets Market
8.4.2. India AI Chipsets Market
8.4.3. Japan AI Chipsets Market
8.4.4. Australia AI Chipsets Market
8.4.5. South Korea AI Chipsets Market
8.4.6. Rest of Asia Pacific AI Chipsets Market
8.5. Latin America AI Chipsets Market Snapshot
8.5.1. Brazil AI Chipsets Market
8.5.2. Mexico AI Chipsets Market
8.5.3. Rest of Latin America AI Chipsets Market
8.6. Rest of The World AI Chipsets Market

Chapter 9. Competitive Intelligence
9.1. Top Market Strategies
9.2. Company Profiles
9.2.1. Intel Corporation
9.2.1.1. Key Information
9.2.1.2. Overview
9.2.1.3. Financial (Subject to Data Availability)
9.2.1.4. Product Summary
9.2.1.5. Recent Developments
9.2.2. Huawei Technologies Co. Ltd
9.2.3. NVIDIA Corporation
9.2.4. Micron Technology Inc.
9.2.5. International Business Machine Corporation
9.2.6. Advanced Micro Devices Inc. (AMD)
9.2.7. Xilinx Inc.
9.2.8. Graphcore Ltd.
9.2.9. Samsung Semiconductor (Samsung Electronics Co. Ltd)
9.2.10. Media Tek Inc.
Chapter 10. Research Process
10.1. Research Process
10.1.1. Data Mining
10.1.2. Analysis
10.1.3. Market Estimation
10.1.4. Validation
10.1.5. Publishing
10.2. Research Attributes
10.3. Research Assumption



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