Global Artificial Intelligence Software Market

Artificial Intelligence Software Comprehensive Study by Type (Deep Learning, Robotics, Digital Personal Assistant, Querying Method, Natural Language Processing, Context Aware Processing), Application (Retail, Transportation, Automation, Manufacturing, Others) Players and Region - Global Market Outlook to 2028

Artificial Intelligence Software Market by XX Submarkets | Forecast Years 2023-2028  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Industry Background:
Global Artificial Intelligence Software Market is evidently booming as various industries have inclined towards automation. Artificial Intelligence makes the system highly capable of performing the tasks and this is rising the demand for it in one and all fields of industry. AI refers to the machine which is designed and operated in such a manner that they think and acts like a human and becomes an important part of daily life. Artificial intelligence software is Software that is capable of intelligent behavior which involves simulating a number of capabilities, including reasoning, learning, problem-solving, perception, and knowledge representation.This growth is primarily driven by Rise in Demand for Intelligent Virtual Assistance .

AttributesDetails
Study Period2018-2028
Base Year2022
Forecast Period2023-2028
Volume UnitN
Value UnitUSD (Billion)
Customization ScopeAvail customization with purchase of this report. Add or modify country, region & or narrow down segments in the final scope subject to feasibility


The Internet Software & Services sector in the region has been increasing at a sustainable rate and further growth is expected to be witnessed over the forecast period, owing to the robust investments and expansion in production facilities in the region. Major Players, such as Datapine (Germany), Salesforce (United States), IBM (United States), NVIDIA (United States), Infosys (India), Infrrd (United States), IPsoft (United States), Astute Solution (United States), H20 (United States), Ada Support (United States), Astute Solution (United States) and Chirpify (United States), etc have either set up their manufacturing facilities or are planning to start new provision in the dominated region in the upcoming years.

Key Developments in the Market:
In October 2018, Oracle a multinational computer technology corporation announced acquisition with DataFox. The startup cloud-based artificial intelligence data engine and derived business content which provides company level information and insightful data
March 2023 Salesforce follows Microsoft with A.I. A tool for salespeople powered by OpenAI. Like Microsoft, Salesforce emphasizes the ability for people to review artificial intelligence-generated information before sharing it more widely. New tools using OpenAI models can author customer service responses and marketing content.

Influencing Trend:
Technology Advancement in AI

Market Growth Drivers:
Rise in Demand for Intelligent Virtual Assistance and Increase in Adoption of Cloud-Based Application and Services

Challenges:
Data Privacy and Security Concerns, Unreliability of Artificial Intelligence Algorithms and Lack of Artificial Intelligence Experts

Restraints:
High-Cost Investment

Opportunities:
Improving Operational Efficiency and Adoption of AI to Improve Customer Service

AMA Research follows a focused and realistic research framework that provides the ability to study the crucial market dynamics in several regions across the world. Moreover, an in-depth assessment is mainly conducted by our analysts on geographical regions to provide clients and businesses the opportunity to dominate in niche markets and expand in emerging markets across the globe. This market research study also showcases the spontaneously changing Players landscape impacting the market's growth. Furthermore, our market researchers extensively analyze the products and services offered by multiple players competing to increase their market share and presence.

Data Sources of Artificial Intelligence Software Market Study

Primary Collection: InMail, LinkedIn Groups, Survey Monkey, Google, and Other professional Forums are some of the mediums utilized to gather primary data through key industry participants and appointees, subject-matter experts, C-level executives of Artificial Intelligence Software Industry, among others including independent industry consultants, experts, to obtain and verify critical qualitative commentary and opinion and quantitative statistics, to assess future market prospects.

The primary interviews and data collected as per the below protocols:
• By Designation: C-Level, D-Level, Others
• By Company Type: Tier 1, Tier 2, Tier 3

Secondary Data Sources such as Annual reports, Press releases, Analyst meetings, Conference calls, Investor presentations, Management statements, and SEC filings of Artificial Intelligence Software players along with Regulatory Sites, Association, World bank, etc were used as sources secondary set of data.

Customization in the Report
AMA Research features not only specific market forecasts but also includes significant value-added commentary on:
- Market Trends
- Technological Trends and Innovations
- Market Maturity Indicators
- Growth Drivers and Constraints
- New Entrants into the Market & Entry/Exit Barriers
- To Seize Powerful Market Opportunities
- Identify Key Business Segments, Market Proposition & Gap Analysis

Against this Challenging Backdrop, Artificial Intelligence Software Study Sheds Light on
— The Artificial Intelligence Software Market status quo and key characteristics. To end this, Analysts at AMA organize and took surveys of the Artificial Intelligence Software industry Players. The resultant snapshot serves as a basis for understanding why and how the industry can be expected to change.
— Where Artificial Intelligence Software industry is heading and what are the top priorities. Insights are drawn from financial analysis, surveys, and interviews with key executives and industry experts.
— How every company in this diverse set of Players can best navigate the emerging competition landscape and follow a strategy that helps them position to hold the value they currently claim or capture the new addressable opportunity.

Report Objectives / Segmentation Covered

By Type
  • Deep Learning
  • Robotics
  • Digital Personal Assistant
  • Querying Method
  • Natural Language Processing
  • Context Aware Processing
By Application
  • Retail
  • Transportation
  • Automation
  • Manufacturing
  • Others
By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Rise in Demand for Intelligent Virtual Assistance
      • 3.2.2. Increase in Adoption of Cloud-Based Application and Services
    • 3.3. Market Challenges
      • 3.3.1. Data Privacy and Security Concerns
      • 3.3.2. Unreliability of Artificial Intelligence Algorithms
      • 3.3.3. Lack of Artificial Intelligence Experts
    • 3.4. Market Trends
      • 3.4.1. Technology Advancement in AI
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Artificial Intelligence Software, by Type, Application and Region (value and price ) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global Artificial Intelligence Software (Value)
      • 5.2.1. Global Artificial Intelligence Software by: Type (Value)
        • 5.2.1.1. Deep Learning
        • 5.2.1.2. Robotics
        • 5.2.1.3. Digital Personal Assistant
        • 5.2.1.4. Querying Method
        • 5.2.1.5. Natural Language Processing
        • 5.2.1.6. Context Aware Processing
      • 5.2.2. Global Artificial Intelligence Software by: Application (Value)
        • 5.2.2.1. Retail
        • 5.2.2.2. Transportation
        • 5.2.2.3. Automation
        • 5.2.2.4. Manufacturing
        • 5.2.2.5. Others
      • 5.2.3. Global Artificial Intelligence Software Region
        • 5.2.3.1. South America
          • 5.2.3.1.1. Brazil
          • 5.2.3.1.2. Argentina
          • 5.2.3.1.3. Rest of South America
        • 5.2.3.2. Asia Pacific
          • 5.2.3.2.1. China
          • 5.2.3.2.2. Japan
          • 5.2.3.2.3. India
          • 5.2.3.2.4. South Korea
          • 5.2.3.2.5. Taiwan
          • 5.2.3.2.6. Australia
          • 5.2.3.2.7. Rest of Asia-Pacific
        • 5.2.3.3. Europe
          • 5.2.3.3.1. Germany
          • 5.2.3.3.2. France
          • 5.2.3.3.3. Italy
          • 5.2.3.3.4. United Kingdom
          • 5.2.3.3.5. Netherlands
          • 5.2.3.3.6. Rest of Europe
        • 5.2.3.4. MEA
          • 5.2.3.4.1. Middle East
          • 5.2.3.4.2. Africa
        • 5.2.3.5. North America
          • 5.2.3.5.1. United States
          • 5.2.3.5.2. Canada
          • 5.2.3.5.3. Mexico
    • 5.3. Global Artificial Intelligence Software (Price)
      • 5.3.1. Global Artificial Intelligence Software by: Type (Price)
  • 6. Artificial Intelligence Software: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2022)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Datapine (Germany)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. Salesforce (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. IBM (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. NVIDIA (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Infosys (India)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Infrrd (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. IPsoft (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Astute Solution (United States)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. H20 (United States)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Ada Support (United States)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
      • 6.4.11. Astute Solution (United States)
        • 6.4.11.1. Business Overview
        • 6.4.11.2. Products/Services Offerings
        • 6.4.11.3. Financial Analysis
        • 6.4.11.4. SWOT Analysis
      • 6.4.12. Chirpify (United States)
        • 6.4.12.1. Business Overview
        • 6.4.12.2. Products/Services Offerings
        • 6.4.12.3. Financial Analysis
        • 6.4.12.4. SWOT Analysis
  • 7. Global Artificial Intelligence Software Sale, by Type, Application and Region (value and price ) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global Artificial Intelligence Software (Value)
      • 7.2.1. Global Artificial Intelligence Software by: Type (Value)
        • 7.2.1.1. Deep Learning
        • 7.2.1.2. Robotics
        • 7.2.1.3. Digital Personal Assistant
        • 7.2.1.4. Querying Method
        • 7.2.1.5. Natural Language Processing
        • 7.2.1.6. Context Aware Processing
      • 7.2.2. Global Artificial Intelligence Software by: Application (Value)
        • 7.2.2.1. Retail
        • 7.2.2.2. Transportation
        • 7.2.2.3. Automation
        • 7.2.2.4. Manufacturing
        • 7.2.2.5. Others
      • 7.2.3. Global Artificial Intelligence Software Region
        • 7.2.3.1. South America
          • 7.2.3.1.1. Brazil
          • 7.2.3.1.2. Argentina
          • 7.2.3.1.3. Rest of South America
        • 7.2.3.2. Asia Pacific
          • 7.2.3.2.1. China
          • 7.2.3.2.2. Japan
          • 7.2.3.2.3. India
          • 7.2.3.2.4. South Korea
          • 7.2.3.2.5. Taiwan
          • 7.2.3.2.6. Australia
          • 7.2.3.2.7. Rest of Asia-Pacific
        • 7.2.3.3. Europe
          • 7.2.3.3.1. Germany
          • 7.2.3.3.2. France
          • 7.2.3.3.3. Italy
          • 7.2.3.3.4. United Kingdom
          • 7.2.3.3.5. Netherlands
          • 7.2.3.3.6. Rest of Europe
        • 7.2.3.4. MEA
          • 7.2.3.4.1. Middle East
          • 7.2.3.4.2. Africa
        • 7.2.3.5. North America
          • 7.2.3.5.1. United States
          • 7.2.3.5.2. Canada
          • 7.2.3.5.3. Mexico
    • 7.3. Global Artificial Intelligence Software (Price)
      • 7.3.1. Global Artificial Intelligence Software by: Type (Price)
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Artificial Intelligence Software: by Type(USD Billion)
  • Table 2. Artificial Intelligence Software Deep Learning , by Region USD Billion (2017-2022)
  • Table 3. Artificial Intelligence Software Robotics , by Region USD Billion (2017-2022)
  • Table 4. Artificial Intelligence Software Digital Personal Assistant , by Region USD Billion (2017-2022)
  • Table 5. Artificial Intelligence Software Querying Method , by Region USD Billion (2017-2022)
  • Table 6. Artificial Intelligence Software Natural Language Processing , by Region USD Billion (2017-2022)
  • Table 7. Artificial Intelligence Software Context Aware Processing , by Region USD Billion (2017-2022)
  • Table 8. Artificial Intelligence Software: by Application(USD Billion)
  • Table 9. Artificial Intelligence Software Retail , by Region USD Billion (2017-2022)
  • Table 10. Artificial Intelligence Software Transportation , by Region USD Billion (2017-2022)
  • Table 11. Artificial Intelligence Software Automation , by Region USD Billion (2017-2022)
  • Table 12. Artificial Intelligence Software Manufacturing , by Region USD Billion (2017-2022)
  • Table 13. Artificial Intelligence Software Others , by Region USD Billion (2017-2022)
  • Table 14. South America Artificial Intelligence Software, by Country USD Billion (2017-2022)
  • Table 15. South America Artificial Intelligence Software, by Type USD Billion (2017-2022)
  • Table 16. South America Artificial Intelligence Software, by Application USD Billion (2017-2022)
  • Table 17. Brazil Artificial Intelligence Software, by Type USD Billion (2017-2022)
  • Table 18. Brazil Artificial Intelligence Software, by Application USD Billion (2017-2022)
  • Table 19. Argentina Artificial Intelligence Software, by Type USD Billion (2017-2022)
  • Table 20. Argentina Artificial Intelligence Software, by Application USD Billion (2017-2022)
  • Table 21. Rest of South America Artificial Intelligence Software, by Type USD Billion (2017-2022)
  • Table 22. Rest of South America Artificial Intelligence Software, by Application USD Billion (2017-2022)
  • Table 23. Asia Pacific Artificial Intelligence Software, by Country USD Billion (2017-2022)
  • Table 24. Asia Pacific Artificial Intelligence Software, by Type USD Billion (2017-2022)
  • Table 25. Asia Pacific Artificial Intelligence Software, by Application USD Billion (2017-2022)
  • Table 26. China Artificial Intelligence Software, by Type USD Billion (2017-2022)
  • Table 27. China Artificial Intelligence Software, by Application USD Billion (2017-2022)
  • Table 28. Japan Artificial Intelligence Software, by Type USD Billion (2017-2022)
  • Table 29. Japan Artificial Intelligence Software, by Application USD Billion (2017-2022)
  • Table 30. India Artificial Intelligence Software, by Type USD Billion (2017-2022)
  • Table 31. India Artificial Intelligence Software, by Application USD Billion (2017-2022)
  • Table 32. South Korea Artificial Intelligence Software, by Type USD Billion (2017-2022)
  • Table 33. South Korea Artificial Intelligence Software, by Application USD Billion (2017-2022)
  • Table 34. Taiwan Artificial Intelligence Software, by Type USD Billion (2017-2022)
  • Table 35. Taiwan Artificial Intelligence Software, by Application USD Billion (2017-2022)
  • Table 36. Australia Artificial Intelligence Software, by Type USD Billion (2017-2022)
  • Table 37. Australia Artificial Intelligence Software, by Application USD Billion (2017-2022)
  • Table 38. Rest of Asia-Pacific Artificial Intelligence Software, by Type USD Billion (2017-2022)
  • Table 39. Rest of Asia-Pacific Artificial Intelligence Software, by Application USD Billion (2017-2022)
  • Table 40. Europe Artificial Intelligence Software, by Country USD Billion (2017-2022)
  • Table 41. Europe Artificial Intelligence Software, by Type USD Billion (2017-2022)
  • Table 42. Europe Artificial Intelligence Software, by Application USD Billion (2017-2022)
  • Table 43. Germany Artificial Intelligence Software, by Type USD Billion (2017-2022)
  • Table 44. Germany Artificial Intelligence Software, by Application USD Billion (2017-2022)
  • Table 45. France Artificial Intelligence Software, by Type USD Billion (2017-2022)
  • Table 46. France Artificial Intelligence Software, by Application USD Billion (2017-2022)
  • Table 47. Italy Artificial Intelligence Software, by Type USD Billion (2017-2022)
  • Table 48. Italy Artificial Intelligence Software, by Application USD Billion (2017-2022)
  • Table 49. United Kingdom Artificial Intelligence Software, by Type USD Billion (2017-2022)
  • Table 50. United Kingdom Artificial Intelligence Software, by Application USD Billion (2017-2022)
  • Table 51. Netherlands Artificial Intelligence Software, by Type USD Billion (2017-2022)
  • Table 52. Netherlands Artificial Intelligence Software, by Application USD Billion (2017-2022)
  • Table 53. Rest of Europe Artificial Intelligence Software, by Type USD Billion (2017-2022)
  • Table 54. Rest of Europe Artificial Intelligence Software, by Application USD Billion (2017-2022)
  • Table 55. MEA Artificial Intelligence Software, by Country USD Billion (2017-2022)
  • Table 56. MEA Artificial Intelligence Software, by Type USD Billion (2017-2022)
  • Table 57. MEA Artificial Intelligence Software, by Application USD Billion (2017-2022)
  • Table 58. Middle East Artificial Intelligence Software, by Type USD Billion (2017-2022)
  • Table 59. Middle East Artificial Intelligence Software, by Application USD Billion (2017-2022)
  • Table 60. Africa Artificial Intelligence Software, by Type USD Billion (2017-2022)
  • Table 61. Africa Artificial Intelligence Software, by Application USD Billion (2017-2022)
  • Table 62. North America Artificial Intelligence Software, by Country USD Billion (2017-2022)
  • Table 63. North America Artificial Intelligence Software, by Type USD Billion (2017-2022)
  • Table 64. North America Artificial Intelligence Software, by Application USD Billion (2017-2022)
  • Table 65. United States Artificial Intelligence Software, by Type USD Billion (2017-2022)
  • Table 66. United States Artificial Intelligence Software, by Application USD Billion (2017-2022)
  • Table 67. Canada Artificial Intelligence Software, by Type USD Billion (2017-2022)
  • Table 68. Canada Artificial Intelligence Software, by Application USD Billion (2017-2022)
  • Table 69. Mexico Artificial Intelligence Software, by Type USD Billion (2017-2022)
  • Table 70. Mexico Artificial Intelligence Software, by Application USD Billion (2017-2022)
  • Table 71. Artificial Intelligence Software: by Type(USD/Units)
  • Table 72. Company Basic Information, Sales Area and Its Competitors
  • Table 73. Company Basic Information, Sales Area and Its Competitors
  • Table 74. Company Basic Information, Sales Area and Its Competitors
  • Table 75. Company Basic Information, Sales Area and Its Competitors
  • Table 76. Company Basic Information, Sales Area and Its Competitors
  • Table 77. Company Basic Information, Sales Area and Its Competitors
  • Table 78. Company Basic Information, Sales Area and Its Competitors
  • Table 79. Company Basic Information, Sales Area and Its Competitors
  • Table 80. Company Basic Information, Sales Area and Its Competitors
  • Table 81. Company Basic Information, Sales Area and Its Competitors
  • Table 82. Company Basic Information, Sales Area and Its Competitors
  • Table 83. Company Basic Information, Sales Area and Its Competitors
  • Table 84. Artificial Intelligence Software: by Type(USD Billion)
  • Table 85. Artificial Intelligence Software Deep Learning , by Region USD Billion (2023-2028)
  • Table 86. Artificial Intelligence Software Robotics , by Region USD Billion (2023-2028)
  • Table 87. Artificial Intelligence Software Digital Personal Assistant , by Region USD Billion (2023-2028)
  • Table 88. Artificial Intelligence Software Querying Method , by Region USD Billion (2023-2028)
  • Table 89. Artificial Intelligence Software Natural Language Processing , by Region USD Billion (2023-2028)
  • Table 90. Artificial Intelligence Software Context Aware Processing , by Region USD Billion (2023-2028)
  • Table 91. Artificial Intelligence Software: by Application(USD Billion)
  • Table 92. Artificial Intelligence Software Retail , by Region USD Billion (2023-2028)
  • Table 93. Artificial Intelligence Software Transportation , by Region USD Billion (2023-2028)
  • Table 94. Artificial Intelligence Software Automation , by Region USD Billion (2023-2028)
  • Table 95. Artificial Intelligence Software Manufacturing , by Region USD Billion (2023-2028)
  • Table 96. Artificial Intelligence Software Others , by Region USD Billion (2023-2028)
  • Table 97. South America Artificial Intelligence Software, by Country USD Billion (2023-2028)
  • Table 98. South America Artificial Intelligence Software, by Type USD Billion (2023-2028)
  • Table 99. South America Artificial Intelligence Software, by Application USD Billion (2023-2028)
  • Table 100. Brazil Artificial Intelligence Software, by Type USD Billion (2023-2028)
  • Table 101. Brazil Artificial Intelligence Software, by Application USD Billion (2023-2028)
  • Table 102. Argentina Artificial Intelligence Software, by Type USD Billion (2023-2028)
  • Table 103. Argentina Artificial Intelligence Software, by Application USD Billion (2023-2028)
  • Table 104. Rest of South America Artificial Intelligence Software, by Type USD Billion (2023-2028)
  • Table 105. Rest of South America Artificial Intelligence Software, by Application USD Billion (2023-2028)
  • Table 106. Asia Pacific Artificial Intelligence Software, by Country USD Billion (2023-2028)
  • Table 107. Asia Pacific Artificial Intelligence Software, by Type USD Billion (2023-2028)
  • Table 108. Asia Pacific Artificial Intelligence Software, by Application USD Billion (2023-2028)
  • Table 109. China Artificial Intelligence Software, by Type USD Billion (2023-2028)
  • Table 110. China Artificial Intelligence Software, by Application USD Billion (2023-2028)
  • Table 111. Japan Artificial Intelligence Software, by Type USD Billion (2023-2028)
  • Table 112. Japan Artificial Intelligence Software, by Application USD Billion (2023-2028)
  • Table 113. India Artificial Intelligence Software, by Type USD Billion (2023-2028)
  • Table 114. India Artificial Intelligence Software, by Application USD Billion (2023-2028)
  • Table 115. South Korea Artificial Intelligence Software, by Type USD Billion (2023-2028)
  • Table 116. South Korea Artificial Intelligence Software, by Application USD Billion (2023-2028)
  • Table 117. Taiwan Artificial Intelligence Software, by Type USD Billion (2023-2028)
  • Table 118. Taiwan Artificial Intelligence Software, by Application USD Billion (2023-2028)
  • Table 119. Australia Artificial Intelligence Software, by Type USD Billion (2023-2028)
  • Table 120. Australia Artificial Intelligence Software, by Application USD Billion (2023-2028)
  • Table 121. Rest of Asia-Pacific Artificial Intelligence Software, by Type USD Billion (2023-2028)
  • Table 122. Rest of Asia-Pacific Artificial Intelligence Software, by Application USD Billion (2023-2028)
  • Table 123. Europe Artificial Intelligence Software, by Country USD Billion (2023-2028)
  • Table 124. Europe Artificial Intelligence Software, by Type USD Billion (2023-2028)
  • Table 125. Europe Artificial Intelligence Software, by Application USD Billion (2023-2028)
  • Table 126. Germany Artificial Intelligence Software, by Type USD Billion (2023-2028)
  • Table 127. Germany Artificial Intelligence Software, by Application USD Billion (2023-2028)
  • Table 128. France Artificial Intelligence Software, by Type USD Billion (2023-2028)
  • Table 129. France Artificial Intelligence Software, by Application USD Billion (2023-2028)
  • Table 130. Italy Artificial Intelligence Software, by Type USD Billion (2023-2028)
  • Table 131. Italy Artificial Intelligence Software, by Application USD Billion (2023-2028)
  • Table 132. United Kingdom Artificial Intelligence Software, by Type USD Billion (2023-2028)
  • Table 133. United Kingdom Artificial Intelligence Software, by Application USD Billion (2023-2028)
  • Table 134. Netherlands Artificial Intelligence Software, by Type USD Billion (2023-2028)
  • Table 135. Netherlands Artificial Intelligence Software, by Application USD Billion (2023-2028)
  • Table 136. Rest of Europe Artificial Intelligence Software, by Type USD Billion (2023-2028)
  • Table 137. Rest of Europe Artificial Intelligence Software, by Application USD Billion (2023-2028)
  • Table 138. MEA Artificial Intelligence Software, by Country USD Billion (2023-2028)
  • Table 139. MEA Artificial Intelligence Software, by Type USD Billion (2023-2028)
  • Table 140. MEA Artificial Intelligence Software, by Application USD Billion (2023-2028)
  • Table 141. Middle East Artificial Intelligence Software, by Type USD Billion (2023-2028)
  • Table 142. Middle East Artificial Intelligence Software, by Application USD Billion (2023-2028)
  • Table 143. Africa Artificial Intelligence Software, by Type USD Billion (2023-2028)
  • Table 144. Africa Artificial Intelligence Software, by Application USD Billion (2023-2028)
  • Table 145. North America Artificial Intelligence Software, by Country USD Billion (2023-2028)
  • Table 146. North America Artificial Intelligence Software, by Type USD Billion (2023-2028)
  • Table 147. North America Artificial Intelligence Software, by Application USD Billion (2023-2028)
  • Table 148. United States Artificial Intelligence Software, by Type USD Billion (2023-2028)
  • Table 149. United States Artificial Intelligence Software, by Application USD Billion (2023-2028)
  • Table 150. Canada Artificial Intelligence Software, by Type USD Billion (2023-2028)
  • Table 151. Canada Artificial Intelligence Software, by Application USD Billion (2023-2028)
  • Table 152. Mexico Artificial Intelligence Software, by Type USD Billion (2023-2028)
  • Table 153. Mexico Artificial Intelligence Software, by Application USD Billion (2023-2028)
  • Table 154. Artificial Intelligence Software: by Type(USD/Units)
  • Table 155. Research Programs/Design for This Report
  • Table 156. Key Data Information from Secondary Sources
  • Table 157. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Artificial Intelligence Software: by Type USD Billion (2017-2022)
  • Figure 5. Global Artificial Intelligence Software: by Application USD Billion (2017-2022)
  • Figure 6. South America Artificial Intelligence Software Share (%), by Country
  • Figure 7. Asia Pacific Artificial Intelligence Software Share (%), by Country
  • Figure 8. Europe Artificial Intelligence Software Share (%), by Country
  • Figure 9. MEA Artificial Intelligence Software Share (%), by Country
  • Figure 10. North America Artificial Intelligence Software Share (%), by Country
  • Figure 11. Global Artificial Intelligence Software: by Type USD/Units (2017-2022)
  • Figure 12. Global Artificial Intelligence Software share by Players 2022 (%)
  • Figure 13. Global Artificial Intelligence Software share by Players (Top 3) 2022(%)
  • Figure 14. Global Artificial Intelligence Software share by Players (Top 5) 2022(%)
  • Figure 15. BCG Matrix for key Companies
  • Figure 16. Datapine (Germany) Revenue, Net Income and Gross profit
  • Figure 17. Datapine (Germany) Revenue: by Geography 2022
  • Figure 18. Salesforce (United States) Revenue, Net Income and Gross profit
  • Figure 19. Salesforce (United States) Revenue: by Geography 2022
  • Figure 20. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 21. IBM (United States) Revenue: by Geography 2022
  • Figure 22. NVIDIA (United States) Revenue, Net Income and Gross profit
  • Figure 23. NVIDIA (United States) Revenue: by Geography 2022
  • Figure 24. Infosys (India) Revenue, Net Income and Gross profit
  • Figure 25. Infosys (India) Revenue: by Geography 2022
  • Figure 26. Infrrd (United States) Revenue, Net Income and Gross profit
  • Figure 27. Infrrd (United States) Revenue: by Geography 2022
  • Figure 28. IPsoft (United States) Revenue, Net Income and Gross profit
  • Figure 29. IPsoft (United States) Revenue: by Geography 2022
  • Figure 30. Astute Solution (United States) Revenue, Net Income and Gross profit
  • Figure 31. Astute Solution (United States) Revenue: by Geography 2022
  • Figure 32. H20 (United States) Revenue, Net Income and Gross profit
  • Figure 33. H20 (United States) Revenue: by Geography 2022
  • Figure 34. Ada Support (United States) Revenue, Net Income and Gross profit
  • Figure 35. Ada Support (United States) Revenue: by Geography 2022
  • Figure 36. Astute Solution (United States) Revenue, Net Income and Gross profit
  • Figure 37. Astute Solution (United States) Revenue: by Geography 2022
  • Figure 38. Chirpify (United States) Revenue, Net Income and Gross profit
  • Figure 39. Chirpify (United States) Revenue: by Geography 2022
  • Figure 40. Global Artificial Intelligence Software: by Type USD Billion (2023-2028)
  • Figure 41. Global Artificial Intelligence Software: by Application USD Billion (2023-2028)
  • Figure 42. South America Artificial Intelligence Software Share (%), by Country
  • Figure 43. Asia Pacific Artificial Intelligence Software Share (%), by Country
  • Figure 44. Europe Artificial Intelligence Software Share (%), by Country
  • Figure 45. MEA Artificial Intelligence Software Share (%), by Country
  • Figure 46. North America Artificial Intelligence Software Share (%), by Country
  • Figure 47. Global Artificial Intelligence Software: by Type USD/Units (2023-2028)
List of companies from research coverage that are profiled in the study
  • Datapine (Germany)
  • Salesforce (United States)
  • IBM (United States)
  • NVIDIA (United States)
  • Infosys (India)
  • Infrrd (United States)
  • IPsoft (United States)
  • Astute Solution (United States)
  • H20 (United States)
  • Ada Support (United States)
  • Astute Solution (United States)
  • Chirpify (United States)
Additional players considered in the study are as follows:
Reach Accountant (India) , Playment (India)
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Apr 2023 207 Pages 54 Tables Base Year: 2022 Coverage: 15+ Companies; 18 Countries

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Global Artificial Intelligence Software Market Quantitative research analysis
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Frequently Asked Questions (FAQ):

Historical year: 2018-2022; Base year: 2022; Forecast period: 2023 to 2028
Companies that are profiled in Global Artificial Intelligence Software Market are Datapine (Germany), Salesforce (United States), IBM (United States), NVIDIA (United States), Infosys (India), Infrrd (United States), IPsoft (United States), Astute Solution (United States), H20 (United States), Ada Support (United States), Astute Solution (United States) and Chirpify (United States) etc.
Retail segment in Global market to hold robust market share owing to "Rise in Demand for Intelligent Virtual Assistance ".
AMA Research predicts that United States Players will contribute to the maximum growth of Global Artificial Intelligence Software market throughout the forecasted period.

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