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Artificial Neural Network Market Research Report by Component (Platform/API, Services, and Solution), by Organization Size (Large Enterprises and Small and Medium-Sized Enterprises), by Application, by Deployment Mode , by Industry Vertical - United States Forecast to 2025 - Cumulative Impact of COVID-19
Published Date: August 2020
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Report Code: 360I-Auto-5Y354
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Artificial Neural Network Market Research Report by Component Platform API Services and Solution by Organization Size Large Enterprises and Small and Medium Sized Enterprises by Application by Deployment Mode by Industry Vertical United States Forecast to 2025 Cumulative Impact of COVID 19

Artificial Neural Network Market Research Report by Component (Platform/API, Services, and Solution), by Organization Size (Large Enterprises and Small and Medium-Sized Enterprises), by Application, by Deployment Mode , by Industry Vertical - United States Forecast to 2025 - Cumulative Impact of COVID-19

Code: 360I-Auto-5Y354
Report
August 2020
Pages:99
360iResearch
Description
Table of Content
Tables & Figures
The United States Artificial Neural Network Market is projected to grow with a significant CAGR in the forecast period. Economic development and substantial infrastructure development have constituted regional revenue generation. Further, the patterns associated with domestic production, import and export, and consumption have helped market participants to analyze and capitalize on potential opportunities. Besides, the qualitative and quantitative parameters provided in the report with detailed analysis highlights the driving and restraining factors of the United States Artificial Neural Network Market.

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 Artificial Neural Network Market studied across Platform/API, Services, and Solution.

Based on Organization Size, the Artificial Neural Network Market studied across Large Enterprises and Small and Medium-Sized Enterprises.

Based on Application, the Artificial Neural Network Market studied across Data Mining, Image Recognition, and Signal Recognition.

Based on Deployment Mode , the Artificial Neural Network Market studied across On-Cloud and On-Premises.

Based on Industry Vertical, the Artificial Neural Network Market 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.

Company Usability Profiles:
The report deeply explores the recent significant developments by the leading vendors and innovation profiles in the United States Artificial Neural Network Market including Google, IBM, Intel, Microsoft, and Oracle.

FPNV Positioning Matrix:
The FPNV Positioning Matrix evaluates and categorizes the vendors in the Artificial Neural Network Market on the basis of 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.

Competitive Strategic Window:
The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies. The Competitive Strategic Window helps the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. During a forecast period, it defines 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.

Cumulative Impact of COVID-19:
COVID-19 is an incomparable global public health emergency that has affected almost every industry, so for and, the long-term effects projected to impact the industry growth during the forecast period. Our ongoing research amplifies our research framework to ensure the inclusion of underlaying COVID-19 issues and potential paths forward. The report is delivering 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 forecast, considering the COVID-19 impact on the market.

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 analyzes 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, and manufacturing capabilities of the leading players
5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and new product developments

The report answers questions such as:
1. What is the market size and forecast of the United States Artificial Neural Network Market?
2. What are the inhibiting factors and impact of COVID-19 shaping the United States 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 United States Artificial Neural Network Market?
4. What is the competitive strategic window for opportunities in the United States Artificial Neural Network Market?
5. What are the technology trends and regulatory frameworks in the United States Artificial Neural Network Market?
6. What are the modes and strategic moves considered suitable for entering the United States 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. Stakeholders
2. Research Methodology
2.1. Research Process
2.1.1. Define: Research Objective
2.1.2. Determine: Research Design
2.1.3. Prepare: Research Instrument
2.1.4. Collect: Data Source
2.1.5. Analyze: Data Interpretation
2.1.6. Formulate: Data Verification
2.1.7. Publish: Research Report
2.1.8. Repeat: Report Update
2.2. Research Execution
2.2.1. Initiation: Research Process
2.2.2. Planning: Develop Research Plan
2.2.3. Execution: Conduct Research
2.2.4. Verification: Finding & Analysis
2.2.5. Publication: Research Report
2.3. Research Outcome
3. Executive Summary
3.1. Market Outlook
3.2. Component Outlook
3.3. Organization Size Outlook
3.4. Application Outlook
3.5. Deployment Mode Outlook
3.6. Industry Vertical Outlook
3.7. Competitor Outlook
4. Market Overview
4.1. Introduction
5. Market Dynamics
5.1. Introduction
5.2. Drivers
5.3. Restraints
5.4. Opportunities
5.5. Challenges
6. United States Artificial Neural Network Market, By Component
6.1. Introduction
6.2. Platform/API
6.3. Services
6.4. Solution
7. United States Artificial Neural Network Market, By Organization Size
7.1. Introduction
7.2. Large Enterprises
7.3. Small and Medium-Sized Enterprises
8. United States Artificial Neural Network Market, By Application
8.1. Introduction
8.2. Data Mining
8.3. Image Recognition
8.4. Signal Recognition
9. United States Artificial Neural Network Market, By Deployment Mode
9.1. Introduction
9.2. On-Cloud
9.3. On-Premises
10. United States 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. 360iResearch Competitive Strategic Window
11.1. Introduction
11.2. 360iResearch Competitive Strategic Window, by Component
11.3. 360iResearch Competitive Strategic Window, by Organization Size
11.4. 360iResearch Competitive Strategic Window, by Application
11.5. 360iResearch Competitive Strategic Window, by Deployment Mode
11.6. 360iResearch Competitive Strategic Window, by Industry Vertical
12. Competitive Landscape
12.1. 360iResearch FPNV Positioning Matrix
12.1.1. Quadrants
12.1.2. Business Strategy
12.1.3. Product Satisfaction
12.2. 360iResearch Market Ranking Analysis
12.3. 360iResearch Market Share Analysis
12.4. 360iResearch Competitive Scenario
12.4.1. Merger & Acquisition
12.4.2. Agreement, Collaboration, & Partnership
12.4.3. New Product Launch & Enhancement
12.4.4. Investment & Funding
12.4.5. Award, Recognition, & Expansion
13. Company Usability Profiles
13.1. Google
13.2. IBM
13.3. Intel
13.4. Microsoft
13.5. Oracle
14. Appendix
14.1. Discussion Guide
14.2. Edition Details
14.3. License Details
14.4. Pricing Details
TABLE 1. UNITED STATES ARTIFICIAL NEURAL NETWORK MARKET SIZE, 2017-2025 (USD MILLION)
TABLE 2. UNITED STATES ARTIFICIAL NEURAL NETWORK MARKET SIZE, BY PLATFORM/API, 2017-2025 (USD MILLION)
TABLE 3. UNITED STATES ARTIFICIAL NEURAL NETWORK MARKET SIZE, BY SERVICES, 2017-2025 (USD MILLION)
TABLE 4. UNITED STATES ARTIFICIAL NEURAL NETWORK MARKET SIZE, BY SOLUTION, 2017-2025 (USD MILLION)
TABLE 5. UNITED STATES ARTIFICIAL NEURAL NETWORK MARKET SIZE, BY LARGE ENTERPRISES, 2017-2025 (USD MILLION)
TABLE 6. UNITED STATES ARTIFICIAL NEURAL NETWORK MARKET SIZE, BY SMALL AND MEDIUM-SIZED ENTERPRISES, 2017-2025 (USD MILLION)
TABLE 7. UNITED STATES ARTIFICIAL NEURAL NETWORK MARKET SIZE, BY DATA MINING, 2017-2025 (USD MILLION)
TABLE 8. UNITED STATES ARTIFICIAL NEURAL NETWORK MARKET SIZE, BY IMAGE RECOGNITION, 2017-2025 (USD MILLION)
TABLE 9. UNITED STATES ARTIFICIAL NEURAL NETWORK MARKET SIZE, BY SIGNAL RECOGNITION, 2017-2025 (USD MILLION)
TABLE 10. UNITED STATES ARTIFICIAL NEURAL NETWORK MARKET SIZE, BY ON-CLOUD, 2017-2025 (USD MILLION)
TABLE 11. UNITED STATES ARTIFICIAL NEURAL NETWORK MARKET SIZE, BY ON-PREMISES, 2017-2025 (USD MILLION)
TABLE 12. UNITED STATES ARTIFICIAL NEURAL NETWORK MARKET SIZE, BY BANKING, FINANCIAL SERVICES, AND INSURANCE, 2017-2025 (USD MILLION)
TABLE 13. UNITED STATES ARTIFICIAL NEURAL NETWORK MARKET SIZE, BY GOVERNMENT AND DEFENSE, 2017-2025 (USD MILLION)
TABLE 14. UNITED STATES ARTIFICIAL NEURAL NETWORK MARKET SIZE, BY HEALTHCARE AND LIFE SCIENCES, 2017-2025 (USD MILLION)
TABLE 15. UNITED STATES ARTIFICIAL NEURAL NETWORK MARKET SIZE, BY MANUFACTURING, 2017-2025 (USD MILLION)
TABLE 16. UNITED STATES ARTIFICIAL NEURAL NETWORK MARKET SIZE, BY RETAIL AND ECOMMERCE, 2017-2025 (USD MILLION)
TABLE 17. UNITED STATES ARTIFICIAL NEURAL NETWORK MARKET SIZE, BY TELECOMMUNICATIONS AND IT, 2017-2025 (USD MILLION)
TABLE 18. UNITED STATES ARTIFICIAL NEURAL NETWORK MARKET SIZE, BY TRANSPORTATION AND LOGISTICS, 2017-2025 (USD MILLION)
TABLE 19. UNITED STATES ARTIFICIAL NEURAL NETWORK MARKET: SCORES
TABLE 20. UNITED STATES ARTIFICIAL NEURAL NETWORK MARKET: BUSINESS STRATEGY
TABLE 21. UNITED STATES ARTIFICIAL NEURAL NETWORK MARKET: PRODUCT SATISFACTION
TABLE 22. UNITED STATES ARTIFICIAL NEURAL NETWORK MARKET: RANKING
TABLE 23. UNITED STATES ARTIFICIAL NEURAL NETWORK MARKET: MERGER & ACQUISITION
TABLE 24. UNITED STATES ARTIFICIAL NEURAL NETWORK MARKET: AGREEMENT, COLLABORATION, & PARTNERSHIP
TABLE 25. UNITED STATES ARTIFICIAL NEURAL NETWORK MARKET: NEW PRODUCT LAUNCH & ENHANCEMENT
TABLE 26. UNITED STATES ARTIFICIAL NEURAL NETWORK MARKET: INVESTMENT & FUNDING
TABLE 27. UNITED STATES ARTIFICIAL NEURAL NETWORK MARKET: AWARD, RECOGNITION, & EXPANSION
TABLE 28. UNITED STATES ARTIFICIAL NEURAL NETWORK MARKET: EDITION DETAILS
TABLE 29. UNITED STATES ARTIFICIAL NEURAL NETWORK MARKET: LICENSE DETAILS
TABLE 30. UNITED STATES ARTIFICIAL NEURAL NETWORK MARKET: PRICING DETAILS
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