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US Artificial Intelligence Software Platform Market

ID: MRFR/ICT/12865-HCR
100 Pages
Kiran Jinkalwad
Last Updated: April 06, 2026
US Artificial Intelligence Software Platform Market Size, Share and Research Report: By Deployment Model (On-Premises, Cloud), By Enterprise Size (Large Enterprises, Small & Medium Enterprises), By Technology (Computer Vision, Data Analytics, Machine Learning, Natural Language Processing, Others), By Application (Automation, Remote Sensing, Medical Diagnosis, Speech Recognition, Text Recognition) and By End Users (BFSI, Manufacturing, Healthcare, Transportation, Retail) - Industry Forecast to 2035
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  1. 1 SECTION I: EXECUTIVE SUMMARY AND KEY HIGHLIGHTS
    1. 1.1 EXECUTIVE SUMMARY
      1. 1.1.1 Market Overview
      2. 1.1.2 Key Findings
      3. 1.1.3 Market Segmentation
      4. 1.1.4 Competitive Landscape
      5. 1.1.5 Challenges and Opportunities
      6. 1.1.6 Future Outlook
  2. 2 SECTION II: SCOPING, METHODOLOGY AND MARKET STRUCTURE
    1. 2.1 MARKET INTRODUCTION
      1. 2.1.1 Definition
      2. 2.1.2 Scope of the study
        1. 2.1.2.1 Research Objective
        2. 2.1.2.2 Assumption
        3. 2.1.2.3 Limitations
    2. 2.2 RESEARCH METHODOLOGY
      1. 2.2.1 Overview
      2. 2.2.2 Data Mining
      3. 2.2.3 Secondary Research
      4. 2.2.4 Primary Research
        1. 2.2.4.1 Primary Interviews and Information Gathering Process
        2. 2.2.4.2 Breakdown of Primary Respondents
      5. 2.2.5 Forecasting Model
      6. 2.2.6 Market Size Estimation
        1. 2.2.6.1 Bottom-Up Approach
        2. 2.2.6.2 Top-Down Approach
      7. 2.2.7 Data Triangulation
      8. 2.2.8 Validation
  3. 3 SECTION III: QUALITATIVE ANALYSIS
    1. 3.1 MARKET DYNAMICS
      1. 3.1.1 Overview
      2. 3.1.2 Drivers
      3. 3.1.3 Restraints
      4. 3.1.4 Opportunities
    2. 3.2 MARKET FACTOR ANALYSIS
      1. 3.2.1 Value chain Analysis
      2. 3.2.2 Porter's Five Forces Analysis
        1. 3.2.2.1 Bargaining Power of Suppliers
        2. 3.2.2.2 Bargaining Power of Buyers
        3. 3.2.2.3 Threat of New Entrants
        4. 3.2.2.4 Threat of Substitutes
        5. 3.2.2.5 Intensity of Rivalry
      3. 3.2.3 COVID-19 Impact Analysis
        1. 3.2.3.1 Market Impact Analysis
        2. 3.2.3.2 Regional Impact
        3. 3.2.3.3 Opportunity and Threat Analysis
  4. 4 SECTION IV: QUANTITATIVE ANALYSIS
    1. 4.1 Information and Communications Technology, BY Application (USD Billion)
      1. 4.1.1 Natural Language Processing
      2. 4.1.2 Machine Learning
      3. 4.1.3 Computer Vision
      4. 4.1.4 Speech Recognition
      5. 4.1.5 Robotic Process Automation
    2. 4.2 Information and Communications Technology, BY Deployment Model (USD Billion)
      1. 4.2.1 On-Premises
      2. 4.2.2 Cloud-Based
      3. 4.2.3 Hybrid
    3. 4.3 Information and Communications Technology, BY End Use (USD Billion)
      1. 4.3.1 Healthcare
      2. 4.3.2 Retail
      3. 4.3.3 Banking
      4. 4.3.4 Automotive
      5. 4.3.5 Manufacturing
    4. 4.4 Information and Communications Technology, BY Technology (USD Billion)
      1. 4.4.1 Deep Learning
      2. 4.4.2 Neural Networks
      3. 4.4.3 Expert Systems
      4. 4.4.4 Fuzzy Logic
      5. 4.4.5 Genetic Algorithms
  5. 5 SECTION V: COMPETITIVE ANALYSIS
    1. 5.1 Competitive Landscape
      1. 5.1.1 Overview
      2. 5.1.2 Competitive Analysis
      3. 5.1.3 Market share Analysis
      4. 5.1.4 Major Growth Strategy in the Information and Communications Technology
      5. 5.1.5 Competitive Benchmarking
      6. 5.1.6 Leading Players in Terms of Number of Developments in the Information and Communications Technology
      7. 5.1.7 Key developments and growth strategies
        1. 5.1.7.1 New Product Launch/Service Deployment
        2. 5.1.7.2 Merger & Acquisitions
        3. 5.1.7.3 Joint Ventures
      8. 5.1.8 Major Players Financial Matrix
        1. 5.1.8.1 Sales and Operating Income
        2. 5.1.8.2 Major Players R&D Expenditure. 2023
    2. 5.2 Company Profiles
      1. 5.2.1 Microsoft (US)
        1. 5.2.1.1 Financial Overview
        2. 5.2.1.2 Products Offered
        3. 5.2.1.3 Key Developments
        4. 5.2.1.4 SWOT Analysis
        5. 5.2.1.5 Key Strategies
      2. 5.2.2 Google (US)
        1. 5.2.2.1 Financial Overview
        2. 5.2.2.2 Products Offered
        3. 5.2.2.3 Key Developments
        4. 5.2.2.4 SWOT Analysis
        5. 5.2.2.5 Key Strategies
      3. 5.2.3 IBM (US)
        1. 5.2.3.1 Financial Overview
        2. 5.2.3.2 Products Offered
        3. 5.2.3.3 Key Developments
        4. 5.2.3.4 SWOT Analysis
        5. 5.2.3.5 Key Strategies
      4. 5.2.4 Amazon (US)
        1. 5.2.4.1 Financial Overview
        2. 5.2.4.2 Products Offered
        3. 5.2.4.3 Key Developments
        4. 5.2.4.4 SWOT Analysis
        5. 5.2.4.5 Key Strategies
      5. 5.2.5 Salesforce (US)
        1. 5.2.5.1 Financial Overview
        2. 5.2.5.2 Products Offered
        3. 5.2.5.3 Key Developments
        4. 5.2.5.4 SWOT Analysis
        5. 5.2.5.5 Key Strategies
      6. 5.2.6 Oracle (US)
        1. 5.2.6.1 Financial Overview
        2. 5.2.6.2 Products Offered
        3. 5.2.6.3 Key Developments
        4. 5.2.6.4 SWOT Analysis
        5. 5.2.6.5 Key Strategies
      7. 5.2.7 SAP (DE)
        1. 5.2.7.1 Financial Overview
        2. 5.2.7.2 Products Offered
        3. 5.2.7.3 Key Developments
        4. 5.2.7.4 SWOT Analysis
        5. 5.2.7.5 Key Strategies
      8. 5.2.8 NVIDIA (US)
        1. 5.2.8.1 Financial Overview
        2. 5.2.8.2 Products Offered
        3. 5.2.8.3 Key Developments
        4. 5.2.8.4 SWOT Analysis
        5. 5.2.8.5 Key Strategies
      9. 5.2.9 Palantir Technologies (US)
        1. 5.2.9.1 Financial Overview
        2. 5.2.9.2 Products Offered
        3. 5.2.9.3 Key Developments
        4. 5.2.9.4 SWOT Analysis
        5. 5.2.9.5 Key Strategies
    3. 5.3 Appendix
      1. 5.3.1 References
      2. 5.3.2 Related Reports
  6. 6 LIST OF FIGURES
    1. 6.1 MARKET SYNOPSIS
    2. 6.2 US MARKET ANALYSIS BY APPLICATION
    3. 6.3 US MARKET ANALYSIS BY DEPLOYMENT MODEL
    4. 6.4 US MARKET ANALYSIS BY END USE
    5. 6.5 US MARKET ANALYSIS BY TECHNOLOGY
    6. 6.6 KEY BUYING CRITERIA OF INFORMATION AND COMMUNICATIONS TECHNOLOGY
    7. 6.7 RESEARCH PROCESS OF MRFR
    8. 6.8 DRO ANALYSIS OF INFORMATION AND COMMUNICATIONS TECHNOLOGY
    9. 6.9 DRIVERS IMPACT ANALYSIS: INFORMATION AND COMMUNICATIONS TECHNOLOGY
    10. 6.10 RESTRAINTS IMPACT ANALYSIS: INFORMATION AND COMMUNICATIONS TECHNOLOGY
    11. 6.11 SUPPLY / VALUE CHAIN: INFORMATION AND COMMUNICATIONS TECHNOLOGY
    12. 6.12 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY APPLICATION, 2024 (% SHARE)
    13. 6.13 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY APPLICATION, 2024 TO 2035 (USD Billion)
    14. 6.14 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY DEPLOYMENT MODEL, 2024 (% SHARE)
    15. 6.15 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY DEPLOYMENT MODEL, 2024 TO 2035 (USD Billion)
    16. 6.16 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY END USE, 2024 (% SHARE)
    17. 6.17 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY END USE, 2024 TO 2035 (USD Billion)
    18. 6.18 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY TECHNOLOGY, 2024 (% SHARE)
    19. 6.19 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY TECHNOLOGY, 2024 TO 2035 (USD Billion)
    20. 6.20 BENCHMARKING OF MAJOR COMPETITORS
  7. 7 LIST OF TABLES
    1. 7.1 LIST OF ASSUMPTIONS
  8. 7.1.1
    1. 7.2 US MARKET SIZE ESTIMATES; FORECAST
      1. 7.2.1 BY APPLICATION, 2025-2035 (USD Billion)
      2. 7.2.2 BY DEPLOYMENT MODEL, 2025-2035 (USD Billion)
      3. 7.2.3 BY END USE, 2025-2035 (USD Billion)
      4. 7.2.4 BY TECHNOLOGY, 2025-2035 (USD Billion)
    2. 7.3 PRODUCT LAUNCH/PRODUCT DEVELOPMENT/APPROVAL
  9. 7.3.1
    1. 7.4 ACQUISITION/PARTNERSHIP
  10. 7.4.1

US Information and Communications Technology Market Segmentation

Information and Communications Technology By Application (USD Billion, 2025-2035)

  • Natural Language Processing
  • Machine Learning
  • Computer Vision
  • Speech Recognition
  • Robotic Process Automation

Information and Communications Technology By Deployment Model (USD Billion, 2025-2035)

  • On-Premises
  • Cloud-Based
  • Hybrid

Information and Communications Technology By End Use (USD Billion, 2025-2035)

  • Healthcare
  • Retail
  • Banking
  • Automotive
  • Manufacturing

Information and Communications Technology By Technology (USD Billion, 2025-2035)

  • Deep Learning
  • Neural Networks
  • Expert Systems
  • Fuzzy Logic
  • Genetic Algorithms