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レポート概要
| 360iResearch社の本市場調査資料では、世界の人工ニューラルネットワーク（ANN）市場規模が、2021年に159.11百万ドル、2022年に172.44百万ドルになり、その後CAGR 8.55％で成長して2027年までに260.38百万ドルに達すると予測しています。本書は、人工ニューラルネットワーク（ANN）の世界市場を対象とした調査・分析結果をまとめたものであり、序論、調査方法、エグゼクティブサマリー、市場概要、市場インサイト、コンポーネント別分析（プラットフォーム/API、サービス、ソリューション）、組織規模別分析（大企業、中小企業）、用途別分析（データマイニング、画像認識、信号認識）、産業別分析（金融、政府＆防衛、医療＆ライフサイエンス、製造業、小売＆Eコマース）、地域別分析（南北アメリカ、アメリカ、カナダ、ブラジル、アジア太平洋、日本、中国、インド、韓国、台湾、ヨーロッパ/中東/アフリカ、イギリス、ドイツ、フランス、ロシア、その他）、競争状況、企業情報などの内容を掲載しています。なお、本書内の企業情報には、Alyuda、Clarifai、GMDH, LLC、Google、IBM、Intel、Microsoft、Neurala、Neuralware、Oracle、Qualcomm、Starmind、Ward Systemsなどが含まれています。 ・序論 ・調査方法 ・エグゼクティブサマリー ・市場概要 ・市場インサイト ・世界の人工ニューラルネットワーク（ANN）市場規模：コンポーネント別 - プラットフォーム/APIの市場規模 - サービスの市場規模 - ソリューションの市場規模 ・世界の人工ニューラルネットワーク（ANN）市場規模：組織規模別 - 大企業における市場規模 - 中小企業における市場規模 ・世界の人工ニューラルネットワーク（ANN）市場規模：用途別 - データマイニングにおける市場規模 - 画像認識における市場規模 - 信号認識における市場規模 ・世界の人工ニューラルネットワーク（ANN）市場規模：産業別 - 金融における市場規模 - 政府＆防衛における市場規模 - 医療＆ライフサイエンスにおける市場規模 - 製造業における市場規模 - 小売＆Eコマースにおける市場規模 ・世界の人工ニューラルネットワーク（ANN）市場規模：地域別 - 南北アメリカの人工ニューラルネットワーク（ANN）市場規模 アメリカの人工ニューラルネットワーク（ANN）市場規模 カナダの人工ニューラルネットワーク（ANN）市場規模 ブラジルの人工ニューラルネットワーク（ANN）市場規模 ... - アジア太平洋の人工ニューラルネットワーク（ANN）市場規模 日本の人工ニューラルネットワーク（ANN）市場規模 中国の人工ニューラルネットワーク（ANN）市場規模 インドの人工ニューラルネットワーク（ANN）市場規模 韓国の人工ニューラルネットワーク（ANN）市場規模 台湾の人工ニューラルネットワーク（ANN）市場規模 ... - ヨーロッパ/中東/アフリカの人工ニューラルネットワーク（ANN）市場規模 イギリスの人工ニューラルネットワーク（ANN）市場規模 ドイツの人工ニューラルネットワーク（ANN）市場規模 フランスの人工ニューラルネットワーク（ANN）市場規模 ロシアの人工ニューラルネットワーク（ANN）市場規模 ... - その他地域の人工ニューラルネットワーク（ANN）市場規模 ・競争状況 ・企業情報 |
The Global Artificial Neural Network Market size was estimated at USD 159.11 million in 2021 and expected to reach USD 172.44 million in 2022, and is projected to grow at a CAGR 8.55% to reach USD 260.38 million by 2027.
Market Statistics:
The report provides market sizing and forecast across 7 major currencies – USD, EUR, JPY, GBP, AUD, CAD, and CHF. It helps organization leaders make better decisions when currency exchange data is readily available. In this report, the years 2018 and 2020 are considered as historical years, 2021 as the base year, 2022 as the estimated year, and years from 2023 to 2027 are considered as the forecast period.
Market Segmentation & Coverage:
This research report categorizes the Artificial Neural Network to forecast the revenues and analyze the trends in each of the following sub-markets:
Based on Component, the market was studied across Platform/API, Services, and Solution.
Based on Organization Size, the market was studied across Large Enterprises and Small and Medium-Sized Enterprises.
Based on Application, the market was studied across Data Mining, Image Recognition, and Signal Recognition.
Based on Deployment Mode, the market was studied across On-Cloud and On-Premises.
Based on Industry Vertical, the market was studied across Banking, Financial Services, and Insurance, Government and Defense, Healthcare and Life Sciences, Manufacturing, Retail and eCommerce, Telecommunications and IT, and Transportation and Logistics.
Based on Region, the market was studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.
Cumulative Impact of COVID-19:
COVID-19 is an incomparable global public health emergency that has affected almost every industry, and the long-term effects are projected to impact the industry growth during the forecast period. Our ongoing research amplifies our research framework to ensure the inclusion of underlying COVID-19 issues and potential paths forward. The report delivers insights on COVID-19 considering the changes in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments. The updated study provides insights, analysis, estimations, and forecasts, considering the COVID-19 impact on the market.
Cumulative Impact of 2022 Russia Ukraine Conflict:
We continuously monitor and update reports on political and economic uncertainty due to the Russian invasion of Ukraine. Negative impacts are significantly foreseen globally, especially across Eastern Europe, European Union, Eastern & Central Asia, and the United States. This contention has severely affected lives and livelihoods and represents far-reaching disruptions in trade dynamics. The potential effects of ongoing war and uncertainty in Eastern Europe are expected to have an adverse impact on the world economy, with especially long-term harsh effects on Russia.This report uncovers the impact of demand & supply, pricing variants, strategic uptake of vendors, and recommendations for Artificial Neural Network market considering the current update on the conflict and its global response.
Competitive Strategic Window:
The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies to help the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. It describes the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth during a forecast period.
FPNV Positioning Matrix:
The FPNV Positioning Matrix evaluates and categorizes the vendors in the Artificial Neural Network Market based on Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.
Market Share Analysis:
The Market Share Analysis offers the analysis of vendors considering their contribution to the overall market. It provides the idea of its revenue generation into the overall market compared to other vendors in the space. It provides insights into how vendors are performing in terms of revenue generation and customer base compared to others. Knowing market share offers an idea of the size and competitiveness of the vendors for the base year. It reveals the market characteristics in terms of accumulation, fragmentation, dominance, and amalgamation traits.
Competitive Scenario:
The Competitive Scenario provides an outlook analysis of the various business growth strategies adopted by the vendors. The news covered in this section deliver valuable thoughts at the different stage while keeping up-to-date with the business and engage stakeholders in the economic debate. The competitive scenario represents press releases or news of the companies categorized into Merger & Acquisition, Agreement, Collaboration, & Partnership, New Product Launch & Enhancement, Investment & Funding, and Award, Recognition, & Expansion. All the news collected help vendor to understand the gaps in the marketplace and competitor’s strength and weakness thereby, providing insights to enhance product and service.
Company Usability Profiles:
The report profoundly explores the recent significant developments by the leading vendors and innovation profiles in the Global Artificial Neural Network Market, including Alyuda, Clarifai, GMDH, LLC, Google, IBM, Intel, Microsoft, Neurala, Neuralware, Oracle, Qualcomm, Starmind, and Ward Systems.
The report provides insights on the following pointers:
1. Market Penetration: Provides comprehensive information on the market offered by the key players
2. Market Development: Provides in-depth information about lucrative emerging markets and analyze penetration across mature segments of the markets
3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments
4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players
5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and breakthrough product developments
The report answers questions such as:
1. What is the market size and forecast of the Global Artificial Neural Network Market?
2. What are the inhibiting factors and impact of COVID-19 shaping the Global Artificial Neural Network Market during the forecast period?
3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Artificial Neural Network Market?
4. What is the competitive strategic window for opportunities in the Global Artificial Neural Network Market?
5. What are the technology trends and regulatory frameworks in the Global Artificial Neural Network Market?
6. What is the market share of the leading vendors in the Global Artificial Neural Network Market?
7. What modes and strategic moves are considered suitable for entering the Global Artificial Neural Network Market?
1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Limitations
1.7. Assumptions
1.8. Stakeholders
2. Research Methodology
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update
3. Executive Summary
4. Market Overview
5. Market Insights
5.1. Market Dynamics
5.1.1. Drivers
5.1.1.1. Increased demand due to enhanced processing power, learning ability, and speed of neural networks
5.1.1.2. Demand to train large volumes of data sets with low supervision
5.1.1.3. Increased demand for prediction solutions such as predicting consumer behavior and sales forecasting
5.1.2. Restraints
5.1.2.1. Difficulty in tracking the results of in-process stages
5.1.2.2. Lack of trained professionals
5.1.3. Opportunities
5.1.3.1. Increased use of ANN in IoT
5.1.3.2. Advanced driver assistance technology in vehicles and other self-driving vehicles
5.1.4. Challenges
5.1.4.1. Reduced trust due to unexplained behavior of the network
5.2. Cumulative Impact of COVID-19
6. Artificial Neural Network Market, by Component
6.1. Introduction
6.2. Platform/API
6.3. Services
6.4. Solution
7. Artificial Neural Network Market, by Organization Size
7.1. Introduction
7.2. Large Enterprises
7.3. Small and Medium-Sized Enterprises
8. Artificial Neural Network Market, by Application
8.1. Introduction
8.2. Data Mining
8.3. Image Recognition
8.4. Signal Recognition
9. Artificial Neural Network Market, by Deployment Mode
9.1. Introduction
9.2. On-Cloud
9.3. On-Premises
10. Artificial Neural Network Market, by Industry Vertical
10.1. Introduction
10.2. Banking, Financial Services, and Insurance
10.3. Government and Defense
10.4. Healthcare and Life Sciences
10.5. Manufacturing
10.6. Retail and eCommerce
10.7. Telecommunications and IT
10.8. Transportation and Logistics
11. Americas Artificial Neural Network Market
11.1. Introduction
11.2. Argentina
11.3. Brazil
11.4. Canada
11.5. Mexico
11.6. United States
12. Asia-Pacific Artificial Neural Network Market
12.1. Introduction
12.2. Australia
12.3. China
12.4. India
12.5. Indonesia
12.6. Japan
12.7. Malaysia
12.8. Philippines
12.9. Singapore
12.10. South Korea
12.11. Taiwan
12.12. Thailand
12.13. Vietnam
13. Europe, Middle East & Africa Artificial Neural Network Market
13.1. Introduction
13.2. Denmark
13.3. Egypt
13.4. Finland
13.5. France
13.6. Germany
13.7. Israel
13.8. Italy
13.9. Netherlands
13.10. Nigeria
13.11. Norway
13.12. Poland
13.13. Qatar
13.14. Russia
13.15. Saudi Arabia
13.16. South Africa
13.17. Spain
13.18. Sweden
13.19. Switzerland
13.20. Turkey
13.21. United Arab Emirates
13.22. United Kingdom
14. Competitive Landscape
14.1. FPNV Positioning Matrix
14.1.1. Quadrants
14.1.2. Business Strategy
14.1.3. Product Satisfaction
14.2. Market Ranking Analysis, By Key Player
14.3. Market Share Analysis, By Key Player
14.4. Competitive Scenario
14.4.1. Merger & Acquisition
14.4.2. Agreement, Collaboration, & Partnership
14.4.3. New Product Launch & Enhancement
14.4.4. Investment & Funding
14.4.5. Award, Recognition, & Expansion
15. Company Usability Profiles
15.1. Alyuda
15.1.1. Business Overview
15.1.2. Key Executives
15.1.3. Product & Services
15.2. Clarifai
15.2.1. Business Overview
15.2.2. Key Executives
15.2.3. Product & Services
15.3. GMDH, LLC
15.3.1. Business Overview
15.3.2. Key Executives
15.3.3. Product & Services
15.4. Google
15.4.1. Business Overview
15.4.2. Key Executives
15.4.3. Product & Services
15.5. IBM
15.5.1. Business Overview
15.5.2. Key Executives
15.5.3. Product & Services
15.6. Intel
15.6.1. Business Overview
15.6.2. Key Executives
15.6.3. Product & Services
15.7. Microsoft
15.7.1. Business Overview
15.7.2. Key Executives
15.7.3. Product & Services
15.8. Neurala
15.8.1. Business Overview
15.8.2. Key Executives
15.8.3. Product & Services
15.9. Neuralware
15.9.1. Business Overview
15.9.2. Key Executives
15.9.3. Product & Services
15.10. Oracle
15.10.1. Business Overview
15.10.2. Key Executives
15.10.3. Product & Services
15.11. Qualcomm
15.11.1. Business Overview
15.11.2. Key Executives
15.11.3. Product & Services
15.12. Starmind
15.12.1. Business Overview
15.12.2. Key Executives
15.12.3. Product & Services
15.13. Ward Systems
15.13.1. Business Overview
15.13.2. Key Executives
15.13.3. Product & Services
16. Appendix
16.1. Discussion Guide
16.2. License & Pricing