世界のニューラル処理装置市場2022-2029:用途別(不正利用検知、ハードウェア診断、財務予測、画像最適化、その他用途)、エンドユーザー別、地域別

【英語タイトル】Global Neural Processor Market Size study & Forecast, by Application (Fraud Detection, Hardware Diagnostics, Financial Forecasting, Image Optimization, Other Applications), by End User (BFSI, Healthcare, Retail, Defense Agencies, Media, Logistics, Others) and Regional Analysis, 2022-2029

Bizwit Research & Consultingが出版した調査資料(BZW23MA094)・商品コード:BZW23MA094
・発行会社(調査会社):Bizwit Research & Consulting
・発行日:2023年4月10日
・ページ数:約200
・レポート言語:英語
・レポート形式:PDF
・納品方法:Eメール(受注後3営業日)
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❖ レポートの概要 ❖

Bizwit Research社の本調査資料では、2021年に162.1百万ドルであった世界のニューラル処理装置市場規模が、2022年〜2029年にかけて年平均18.1%で成長すると予測しています。本資料は、ニューラル処理装置の世界市場について市場実態を明らかにするとともに、今後の動向を展望したレポートです。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)、用途別(不正利用検知、ハードウェア診断、財務予測、画像最適化、その他用途)分析、エンドユーザー別(金融、医療、小売、防衛庁、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項目で構成されています。また、主要参入企業として、Hewlett Packard Enterprise Development LP, 、Samsung Electronics Co. Ltd.,、HRL Laboratories, LLC, 、Applied Brain Research, 、Aspinity, Inc.、Bitbrain Technologies, 、Halo Neuroscience,、General Vision, Inc., 、BrainChip, Inc.,、BrainCo, Inc.、、などの情報が含まれています。
・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)
・世界のニューラル処理装置市場規模:用途別
- 不正利用検知における市場規模
- ハードウェア診断における市場規模
- 財務予測における市場規模
- 画像最適化における市場規模
- その他用途における市場規模
・世界のニューラル処理装置市場規模:エンドユーザー別
- 金融における市場規模
- 医療における市場規模
- 小売における市場規模
- 防衛庁における市場規模
- その他エンドユーザーにおける市場規模
・世界のニューラル処理装置市場規模:地域別
- 北米のニューラル処理装置市場規模
- ヨーロッパのニューラル処理装置市場規模
- アジア太平洋のニューラル処理装置市場規模
- 中南米のニューラル処理装置市場規模
- その他地域のニューラル処理装置市場規模
・競争分析
・調査プロセス

Global Neural Processor Market is valued approximately USD 162.1 million in 2021 and is anticipated to grow with a healthy growth rate of more than 18.1% over the forecast period 2022-2029. Neural Processor is a specialized circuit that implements all the control and arithmetic logic required to run machine learning algorithms, often by working on predictive models like artificial neural networks or random forests. Neural processors can be built digitally or analogically. The Neural Processor market is expanding because of factors such as increasing adoption of machine learning and adoption of artificial intelligence. However, lack of skilled workforce may halt market growth.

According to the Statista, in 2021, the market for artificial intelligence was estimated at USD 15.84 billion. The source projected that the value would increase to more than USD 107.5 billion by 2028. Machine learning is a large market, encompassing the majority of AI software and projects. In line with this, the machine learning market is also the largest segment of the AI market. This market is expected to grow from around 22.6 billion U.S. dollars to nearly 126 billion U.S. dollars by 2025. Moreover, the market for quantum computing is likely to be the largest contributor to the market for quantum technologies, as optimistic forecasts suggest that the market revenue has the potential to amount to 93 billion U.S. dollars by 2040. Other segments in the market for quantum technologies include quantum sensing and quantum communications. However, the high cost of Neural Processor stifles market growth throughout the forecast period of 2022-2029.

The key regions considered for the Global Neural Processor Market study include Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America dominated the space in terms of revenue, owing to the dominance of exited key market players. According to the Statista, in 2022, the artificial intelligence (AI) market in North America is projected to be worth 24.9 billion U.S. dollars, making it a major AI regional market. Asia Pacific is expected to grow significantly during the forecast period, owing to factors such as rapid adoption of AI to improve consumer services and reduce operational costs in the market space.

Major market player included in this report are:
Hewlett Packard Enterprise Development LP,
Samsung Electronics Co. Ltd.,
HRL Laboratories, LLC,
Applied Brain Research,
Aspinity, Inc.
Bitbrain Technologies,
Halo Neuroscience,
General Vision, Inc.,
BrainChip, Inc.,
BrainCo, Inc.

Recent Developments in the Market:
 In Nov 2022 Renesas electronics is developing neuromorphic devices for TinyML. It is the latest generation of neural networks called spike neural networks (SNNs), their operation, and the hardware necessary to run those algorithms. And to showcase the variety of advantages SNNs have over conventional artificial neural networks.

 In June 2022 Aspinity, , announced the commercial availability of the glass which has a five-year battery life and eliminates false alerts from normal household noises, integrating the AML100 with the company’s custom glass break algorithms, to implement sensing, processing, and decision-making within the ultra-low-power analogue domain, eliminating the associated wastage of power.

Global Neural Processor 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 Application, End User, 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 Application:
Fraud Detection
Hardware Diagnostics
Financial Forecasting
Image Optimization
Other

By End User:
BFSI
Healthcare
Retail
Defense Agencies
Media
Logistics
Others

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
Rest of the World

グローバル市場調査レポート販売サイトのwww.marketreport.jpです。

❖ 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 Million)
1.2.1. Neural Processor Market, by Region, 2019-2029 (USD Million)
1.2.2. Neural Processor Market, by Application, 2019-2029 (USD Million)
1.2.3. Neural Processor Market, by End User, 2019-2029 (USD Million)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Neural Processor 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 Neural Processor Market Dynamics
3.1. Neural Processor Market Impact Analysis (2019-2029)
3.1.1. Market Drivers
3.1.1.1. Increasing adoption of the machine learning
3.1.1.2. Adoption of AI to improve consumer services and reduce operational cost
3.1.2. Market Challenges
3.1.2.1. Lack of skilled workforce
3.1.3. Market Opportunities
3.1.3.1. Advancements in formulation
Chapter 4. Global Neural Processor 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. Investment Adoption Model
4.5. Analyst Recommendation & Conclusion
4.6. Top investment opportunity
4.7. Top winning strategies
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 Neural Processor Market, by Application
6.1. Market Snapshot
6.2. Global Neural Processor Market by Application, Performance – Potential Analysis
6.3. Global Neural Processor Market Estimates & Forecasts by Application 2019-2029 (USD Million)
6.4. Neural Processor Market, Sub Segment Analysis
6.4.1. Fraud Detection
6.4.2. Hardware Diagnostics
6.4.3. Financial Forecasting
6.4.4. Image Optimization
6.4.5. Other
Chapter 7. Global Neural Processor Market, by End User
7.1. Market Snapshot
7.2. Global Neural Processor Market by End User, Performance – Potential Analysis
7.3. Global Neural Processor Market Estimates & Forecasts by End User 2019-2029 (USD Million)
7.4. Neural Processor Market, Sub Segment Analysis
7.4.1. BFSI
7.4.2. Healthcare
7.4.3. Retail
7.4.4. Defense Agencies
7.4.5. Media
7.4.6. Logistics
7.4.7. Others
Chapter 8. Global Neural Processor Market, Regional Analysis
8.1. Neural Processor Market, Regional Market Snapshot
8.2. North America Neural Processor Market
8.2.1. U.S. Neural Processor Market
8.2.1.1. Application breakdown estimates & forecasts, 2019-2029
8.2.1.2. End User breakdown estimates & forecasts, 2019-2029
8.2.2. Canada Neural Processor Market
8.3. Europe Neural Processor Market Snapshot
8.3.1. U.K. Neural Processor Market
8.3.2. Germany Neural Processor Market
8.3.3. France Neural Processor Market
8.3.4. Spain Neural Processor Market
8.3.5. Italy Neural Processor Market
8.3.6. Rest of Europe Neural Processor Market
8.4. Asia-Pacific Neural Processor Market Snapshot
8.4.1. China Neural Processor Market
8.4.2. India Neural Processor Market
8.4.3. Japan Neural Processor Market
8.4.4. Australia Neural Processor Market
8.4.5. South Korea Neural Processor Market
8.4.6. Rest of Asia Pacific Neural Processor Market
8.5. Latin America Neural Processor Market Snapshot
8.5.1. Brazil Neural Processor Market
8.5.2. Mexico Neural Processor Market
8.6. Rest of The World Neural Processor Market

Chapter 9. Competitive Intelligence
9.1. Top Market Strategies
9.2. Company Profiles
9.2.1. Hewlett Packard Enterprise Development LP
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. Samsung Electronics Co. Ltd.,
9.2.3. HRL Laboratories, LLC,
9.2.4. Applied Brain Research,
9.2.5. Aspinity, Inc.
9.2.6. Bitbrain Technologies,
9.2.7. Halo Neuroscience,
9.2.8. General Vision, Inc.,
9.2.9. BrainChip, Inc.,
9.2.10. BrainCo, 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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