Global Predictive Learning

Predictive Learning Comprehensive Study by Application (Finance and Risk, Operations and Workforce, Customer and Channel, Sales and Marketing, Others), End Use (BFSI, IT and Telecom, Retail, Manufacturing, Others), Organisation Size (SMEs, Large Organisations), Deployment (On Cloud, On Premise) Players and Region - Global Market Outlook to 2028

Predictive Learning Market by XX Submarkets | Forecast Years 2023-2028  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Predictive Learning Market Scope
Predictive Learning is broadly a mechanism utilising machine learning applications, in order to develop sophisticated models or scenarios with multiple possible scenarios, providing businesses with better foresight and thus decision making against uncertainties. The predictive learning takes into account both historical and current data in order to identify plausible patterns. The data provided here can be structure or unstructured in format. Growing adoption of cloud computing tools and data analytic tools is resulting in acceleration of predictive learning applications in businesses. Currently, North America is the most dominant market of predictive learning.

AttributesDetails
Study Period2018-2028
Base Year2022
UnitValue (USD Million)
Key Companies ProfiledSiemens AG (Germany), SAP SE (Germany), IBM Corporation (United States), Microsoft Corporation (United States), Oracle Corporation (United States), Tableau Software (United States), FICO (United States), SAS Institute (United States), Altair Engineering Inc. (United States) and TIBCO Software (United States)
CAGR%


Predictive Learning market companies operating in these industries are focusing more on efficient growth, improvement of operational efficiency and productivity, achieving high safety standards, and focusing on maintaining sustainable development. The market is highly competitive with a few players occupying the major share. The key players are highly focused on developing and innovating new strategies to maintain their market position and customer base. The companies are coming up with partnerships or agreements along with planning strategic activities such as partnerships, product launches, mergers, and acquisitions which will help them to sustain in the market and maintain their competitive edge.

Siemens AG (Germany), SAP SE (Germany), IBM Corporation (United States), Microsoft Corporation (United States), Oracle Corporation (United States), Tableau Software (United States), FICO (United States), SAS Institute (United States), Altair Engineering Inc. (United States) and TIBCO Software (United States) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research are RapidMiner (United States), Alteryx (United States) and H2O.ai (United States).

About Approach
The research aims to propose a patent-based approach in searching for potential technology partners as a supporting tool for enabling open innovation. The study also proposes a systematic searching process of technology partners as a preliminary step to select the emerging and key players that are involved in implementing market estimations. While patent analysis is employed to overcome the aforementioned data- and process-related limitations, as expenses occurred in that technology allows us to estimate the market size by evolving segments as target market from the total available market.

Segmentation Overview
The study have segmented the market of Global Predictive Learning market by Type , by Application (Finance and Risk, Operations and Workforce, Customer and Channel, Sales and Marketing and Others) and Region with country level break-up.

On the basis of geography, the market of Predictive Learning has been segmented into 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). region held largest market share in the year 2022.

Market Leaders and their expansionary development strategies
In 2020, Amplitude, Inc., a US based leader in product intelligence and digital optimization systems has announced acquisition of ClearBrain, which is an innovative predictive analytics startup. The acquisition will enable Amplitude’s customers to access data such as success rate of certain features, campaigns and product bets. The acquisition will further bolster Amplitude’s capabilities in Product Intelligence market.
In 2019, Falkonry Inc., a United States based developer and provider of Operational Artificial Intelligence and Machine Learning platform has announced launch of Falkonry Edge Analyzer, which is Industry’s first machine learning solution specifically designed for non-data scientists to carry out predictive operations in Cloud, on Premises, and at the Edge. This services will benefit many firms in the industries with embedded machine learning capabilities to enhance their capabilities in price optimization, fraud detection and much more.


Influencing Trend:
Finance and Risk Accounts for Significant Portion of the Market Share

Market Growth Drivers:
Growing Adoption of Data Analytics and Cloud Computing Solutions and Advanced in Sophisticated Programs

Challenges:
Early Stages of Development

Restraints:
High Cost of Investments in Research and Development

Opportunities:
SMEs could be Big Potential Beneficiaries of Predictive Learning Solutions enabling them to Make Better Business Decisions

Key Target Audience
Predictive Learning Developers, and Providers, New Entrants/Investors, Venture Capitalists and Private Equity Firms, Research Organizations and End-Use Industries

Report Objectives / Segmentation Covered

By Application
  • Finance and Risk
  • Operations and Workforce
  • Customer and Channel
  • Sales and Marketing
  • Others
By End Use
  • BFSI
  • IT and Telecom
  • Retail
  • Manufacturing
  • Others

By Organisation Size
  • SMEs
  • Large Organisations

By Deployment
  • On Cloud
  • On Premise

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. Growing Adoption of Data Analytics and Cloud Computing Solutions
      • 3.2.2. Advanced in Sophisticated Programs
    • 3.3. Market Challenges
      • 3.3.1. Early Stages of Development
    • 3.4. Market Trends
      • 3.4.1. Finance and Risk Accounts for Significant Portion of the Market Share
  • 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 Predictive Learning, by Application, End Use, Organisation Size , Deployment and Region (value) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global Predictive Learning (Value)
      • 5.2.1. Global Predictive Learning by: Application (Value)
        • 5.2.1.1. Finance and Risk
        • 5.2.1.2. Operations and Workforce
        • 5.2.1.3. Customer and Channel
        • 5.2.1.4. Sales and Marketing
        • 5.2.1.5. Others
      • 5.2.2. Global Predictive Learning by: End Use (Value)
        • 5.2.2.1. BFSI
        • 5.2.2.2. IT and Telecom
        • 5.2.2.3. Retail
        • 5.2.2.4. Manufacturing
        • 5.2.2.5. Others
      • 5.2.3. Global Predictive Learning 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
  • 6. Predictive Learning: 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. Siemens AG (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. SAP SE (Germany)
        • 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 Corporation (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. Microsoft Corporation (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. Oracle Corporation (United States)
        • 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. Tableau Software (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. FICO (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. SAS Institute (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. Altair Engineering Inc. (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. TIBCO Software (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
  • 7. Global Predictive Learning Sale, by Application, End Use, Organisation Size , Deployment and Region (value) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global Predictive Learning (Value)
      • 7.2.1. Global Predictive Learning by: Application (Value)
        • 7.2.1.1. Finance and Risk
        • 7.2.1.2. Operations and Workforce
        • 7.2.1.3. Customer and Channel
        • 7.2.1.4. Sales and Marketing
        • 7.2.1.5. Others
      • 7.2.2. Global Predictive Learning by: End Use (Value)
        • 7.2.2.1. BFSI
        • 7.2.2.2. IT and Telecom
        • 7.2.2.3. Retail
        • 7.2.2.4. Manufacturing
        • 7.2.2.5. Others
      • 7.2.3. Global Predictive Learning 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
  • 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. Predictive Learning: by Application(USD Million)
  • Table 2. Predictive Learning Finance and Risk , by Region USD Million (2017-2022)
  • Table 3. Predictive Learning Operations and Workforce , by Region USD Million (2017-2022)
  • Table 4. Predictive Learning Customer and Channel , by Region USD Million (2017-2022)
  • Table 5. Predictive Learning Sales and Marketing , by Region USD Million (2017-2022)
  • Table 6. Predictive Learning Others , by Region USD Million (2017-2022)
  • Table 7. Predictive Learning: by End Use(USD Million)
  • Table 8. Predictive Learning BFSI , by Region USD Million (2017-2022)
  • Table 9. Predictive Learning IT and Telecom , by Region USD Million (2017-2022)
  • Table 10. Predictive Learning Retail , by Region USD Million (2017-2022)
  • Table 11. Predictive Learning Manufacturing , by Region USD Million (2017-2022)
  • Table 12. Predictive Learning Others , by Region USD Million (2017-2022)
  • Table 13. South America Predictive Learning, by Country USD Million (2017-2022)
  • Table 14. South America Predictive Learning, by Application USD Million (2017-2022)
  • Table 15. South America Predictive Learning, by End Use USD Million (2017-2022)
  • Table 16. South America Predictive Learning, by Organisation Size USD Million (2017-2022)
  • Table 17. South America Predictive Learning, by Deployment USD Million (2017-2022)
  • Table 18. Brazil Predictive Learning, by Application USD Million (2017-2022)
  • Table 19. Brazil Predictive Learning, by End Use USD Million (2017-2022)
  • Table 20. Brazil Predictive Learning, by Organisation Size USD Million (2017-2022)
  • Table 21. Brazil Predictive Learning, by Deployment USD Million (2017-2022)
  • Table 22. Argentina Predictive Learning, by Application USD Million (2017-2022)
  • Table 23. Argentina Predictive Learning, by End Use USD Million (2017-2022)
  • Table 24. Argentina Predictive Learning, by Organisation Size USD Million (2017-2022)
  • Table 25. Argentina Predictive Learning, by Deployment USD Million (2017-2022)
  • Table 26. Rest of South America Predictive Learning, by Application USD Million (2017-2022)
  • Table 27. Rest of South America Predictive Learning, by End Use USD Million (2017-2022)
  • Table 28. Rest of South America Predictive Learning, by Organisation Size USD Million (2017-2022)
  • Table 29. Rest of South America Predictive Learning, by Deployment USD Million (2017-2022)
  • Table 30. Asia Pacific Predictive Learning, by Country USD Million (2017-2022)
  • Table 31. Asia Pacific Predictive Learning, by Application USD Million (2017-2022)
  • Table 32. Asia Pacific Predictive Learning, by End Use USD Million (2017-2022)
  • Table 33. Asia Pacific Predictive Learning, by Organisation Size USD Million (2017-2022)
  • Table 34. Asia Pacific Predictive Learning, by Deployment USD Million (2017-2022)
  • Table 35. China Predictive Learning, by Application USD Million (2017-2022)
  • Table 36. China Predictive Learning, by End Use USD Million (2017-2022)
  • Table 37. China Predictive Learning, by Organisation Size USD Million (2017-2022)
  • Table 38. China Predictive Learning, by Deployment USD Million (2017-2022)
  • Table 39. Japan Predictive Learning, by Application USD Million (2017-2022)
  • Table 40. Japan Predictive Learning, by End Use USD Million (2017-2022)
  • Table 41. Japan Predictive Learning, by Organisation Size USD Million (2017-2022)
  • Table 42. Japan Predictive Learning, by Deployment USD Million (2017-2022)
  • Table 43. India Predictive Learning, by Application USD Million (2017-2022)
  • Table 44. India Predictive Learning, by End Use USD Million (2017-2022)
  • Table 45. India Predictive Learning, by Organisation Size USD Million (2017-2022)
  • Table 46. India Predictive Learning, by Deployment USD Million (2017-2022)
  • Table 47. South Korea Predictive Learning, by Application USD Million (2017-2022)
  • Table 48. South Korea Predictive Learning, by End Use USD Million (2017-2022)
  • Table 49. South Korea Predictive Learning, by Organisation Size USD Million (2017-2022)
  • Table 50. South Korea Predictive Learning, by Deployment USD Million (2017-2022)
  • Table 51. Taiwan Predictive Learning, by Application USD Million (2017-2022)
  • Table 52. Taiwan Predictive Learning, by End Use USD Million (2017-2022)
  • Table 53. Taiwan Predictive Learning, by Organisation Size USD Million (2017-2022)
  • Table 54. Taiwan Predictive Learning, by Deployment USD Million (2017-2022)
  • Table 55. Australia Predictive Learning, by Application USD Million (2017-2022)
  • Table 56. Australia Predictive Learning, by End Use USD Million (2017-2022)
  • Table 57. Australia Predictive Learning, by Organisation Size USD Million (2017-2022)
  • Table 58. Australia Predictive Learning, by Deployment USD Million (2017-2022)
  • Table 59. Rest of Asia-Pacific Predictive Learning, by Application USD Million (2017-2022)
  • Table 60. Rest of Asia-Pacific Predictive Learning, by End Use USD Million (2017-2022)
  • Table 61. Rest of Asia-Pacific Predictive Learning, by Organisation Size USD Million (2017-2022)
  • Table 62. Rest of Asia-Pacific Predictive Learning, by Deployment USD Million (2017-2022)
  • Table 63. Europe Predictive Learning, by Country USD Million (2017-2022)
  • Table 64. Europe Predictive Learning, by Application USD Million (2017-2022)
  • Table 65. Europe Predictive Learning, by End Use USD Million (2017-2022)
  • Table 66. Europe Predictive Learning, by Organisation Size USD Million (2017-2022)
  • Table 67. Europe Predictive Learning, by Deployment USD Million (2017-2022)
  • Table 68. Germany Predictive Learning, by Application USD Million (2017-2022)
  • Table 69. Germany Predictive Learning, by End Use USD Million (2017-2022)
  • Table 70. Germany Predictive Learning, by Organisation Size USD Million (2017-2022)
  • Table 71. Germany Predictive Learning, by Deployment USD Million (2017-2022)
  • Table 72. France Predictive Learning, by Application USD Million (2017-2022)
  • Table 73. France Predictive Learning, by End Use USD Million (2017-2022)
  • Table 74. France Predictive Learning, by Organisation Size USD Million (2017-2022)
  • Table 75. France Predictive Learning, by Deployment USD Million (2017-2022)
  • Table 76. Italy Predictive Learning, by Application USD Million (2017-2022)
  • Table 77. Italy Predictive Learning, by End Use USD Million (2017-2022)
  • Table 78. Italy Predictive Learning, by Organisation Size USD Million (2017-2022)
  • Table 79. Italy Predictive Learning, by Deployment USD Million (2017-2022)
  • Table 80. United Kingdom Predictive Learning, by Application USD Million (2017-2022)
  • Table 81. United Kingdom Predictive Learning, by End Use USD Million (2017-2022)
  • Table 82. United Kingdom Predictive Learning, by Organisation Size USD Million (2017-2022)
  • Table 83. United Kingdom Predictive Learning, by Deployment USD Million (2017-2022)
  • Table 84. Netherlands Predictive Learning, by Application USD Million (2017-2022)
  • Table 85. Netherlands Predictive Learning, by End Use USD Million (2017-2022)
  • Table 86. Netherlands Predictive Learning, by Organisation Size USD Million (2017-2022)
  • Table 87. Netherlands Predictive Learning, by Deployment USD Million (2017-2022)
  • Table 88. Rest of Europe Predictive Learning, by Application USD Million (2017-2022)
  • Table 89. Rest of Europe Predictive Learning, by End Use USD Million (2017-2022)
  • Table 90. Rest of Europe Predictive Learning, by Organisation Size USD Million (2017-2022)
  • Table 91. Rest of Europe Predictive Learning, by Deployment USD Million (2017-2022)
  • Table 92. MEA Predictive Learning, by Country USD Million (2017-2022)
  • Table 93. MEA Predictive Learning, by Application USD Million (2017-2022)
  • Table 94. MEA Predictive Learning, by End Use USD Million (2017-2022)
  • Table 95. MEA Predictive Learning, by Organisation Size USD Million (2017-2022)
  • Table 96. MEA Predictive Learning, by Deployment USD Million (2017-2022)
  • Table 97. Middle East Predictive Learning, by Application USD Million (2017-2022)
  • Table 98. Middle East Predictive Learning, by End Use USD Million (2017-2022)
  • Table 99. Middle East Predictive Learning, by Organisation Size USD Million (2017-2022)
  • Table 100. Middle East Predictive Learning, by Deployment USD Million (2017-2022)
  • Table 101. Africa Predictive Learning, by Application USD Million (2017-2022)
  • Table 102. Africa Predictive Learning, by End Use USD Million (2017-2022)
  • Table 103. Africa Predictive Learning, by Organisation Size USD Million (2017-2022)
  • Table 104. Africa Predictive Learning, by Deployment USD Million (2017-2022)
  • Table 105. North America Predictive Learning, by Country USD Million (2017-2022)
  • Table 106. North America Predictive Learning, by Application USD Million (2017-2022)
  • Table 107. North America Predictive Learning, by End Use USD Million (2017-2022)
  • Table 108. North America Predictive Learning, by Organisation Size USD Million (2017-2022)
  • Table 109. North America Predictive Learning, by Deployment USD Million (2017-2022)
  • Table 110. United States Predictive Learning, by Application USD Million (2017-2022)
  • Table 111. United States Predictive Learning, by End Use USD Million (2017-2022)
  • Table 112. United States Predictive Learning, by Organisation Size USD Million (2017-2022)
  • Table 113. United States Predictive Learning, by Deployment USD Million (2017-2022)
  • Table 114. Canada Predictive Learning, by Application USD Million (2017-2022)
  • Table 115. Canada Predictive Learning, by End Use USD Million (2017-2022)
  • Table 116. Canada Predictive Learning, by Organisation Size USD Million (2017-2022)
  • Table 117. Canada Predictive Learning, by Deployment USD Million (2017-2022)
  • Table 118. Mexico Predictive Learning, by Application USD Million (2017-2022)
  • Table 119. Mexico Predictive Learning, by End Use USD Million (2017-2022)
  • Table 120. Mexico Predictive Learning, by Organisation Size USD Million (2017-2022)
  • Table 121. Mexico Predictive Learning, by Deployment USD Million (2017-2022)
  • Table 122. Company Basic Information, Sales Area and Its Competitors
  • Table 123. Company Basic Information, Sales Area and Its Competitors
  • Table 124. Company Basic Information, Sales Area and Its Competitors
  • Table 125. Company Basic Information, Sales Area and Its Competitors
  • Table 126. Company Basic Information, Sales Area and Its Competitors
  • Table 127. Company Basic Information, Sales Area and Its Competitors
  • Figure 25. Tableau Software (United States) Revenue, Net Income and Gross profit
  • Figure 26. Tableau Software (United States) Revenue: by Geography 2022
  • Table 128. Company Basic Information, Sales Area and Its Competitors
  • Table 129. Company Basic Information, Sales Area and Its Competitors
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • Table 132. Predictive Learning: by Application(USD Million)
  • Table 133. Predictive Learning Finance and Risk , by Region USD Million (2023-2028)
  • Table 134. Predictive Learning Operations and Workforce , by Region USD Million (2023-2028)
  • Table 135. Predictive Learning Customer and Channel , by Region USD Million (2023-2028)
  • Table 136. Predictive Learning Sales and Marketing , by Region USD Million (2023-2028)
  • Table 137. Predictive Learning Others , by Region USD Million (2023-2028)
  • Table 138. Predictive Learning: by End Use(USD Million)
  • Table 139. Predictive Learning BFSI , by Region USD Million (2023-2028)
  • Table 140. Predictive Learning IT and Telecom , by Region USD Million (2023-2028)
  • Table 141. Predictive Learning Retail , by Region USD Million (2023-2028)
  • Table 142. Predictive Learning Manufacturing , by Region USD Million (2023-2028)
  • Table 143. Predictive Learning Others , by Region USD Million (2023-2028)
  • Table 144. South America Predictive Learning, by Country USD Million (2023-2028)
  • Table 145. South America Predictive Learning, by Application USD Million (2023-2028)
  • Table 146. South America Predictive Learning, by End Use USD Million (2023-2028)
  • Table 147. South America Predictive Learning, by Organisation Size USD Million (2023-2028)
  • Table 148. South America Predictive Learning, by Deployment USD Million (2023-2028)
  • Table 149. Brazil Predictive Learning, by Application USD Million (2023-2028)
  • Table 150. Brazil Predictive Learning, by End Use USD Million (2023-2028)
  • Table 151. Brazil Predictive Learning, by Organisation Size USD Million (2023-2028)
  • Table 152. Brazil Predictive Learning, by Deployment USD Million (2023-2028)
  • Table 153. Argentina Predictive Learning, by Application USD Million (2023-2028)
  • Table 154. Argentina Predictive Learning, by End Use USD Million (2023-2028)
  • Table 155. Argentina Predictive Learning, by Organisation Size USD Million (2023-2028)
  • Table 156. Argentina Predictive Learning, by Deployment USD Million (2023-2028)
  • Table 157. Rest of South America Predictive Learning, by Application USD Million (2023-2028)
  • Table 158. Rest of South America Predictive Learning, by End Use USD Million (2023-2028)
  • Table 159. Rest of South America Predictive Learning, by Organisation Size USD Million (2023-2028)
  • Table 160. Rest of South America Predictive Learning, by Deployment USD Million (2023-2028)
  • Table 161. Asia Pacific Predictive Learning, by Country USD Million (2023-2028)
  • Table 162. Asia Pacific Predictive Learning, by Application USD Million (2023-2028)
  • Table 163. Asia Pacific Predictive Learning, by End Use USD Million (2023-2028)
  • Table 164. Asia Pacific Predictive Learning, by Organisation Size USD Million (2023-2028)
  • Table 165. Asia Pacific Predictive Learning, by Deployment USD Million (2023-2028)
  • Table 166. China Predictive Learning, by Application USD Million (2023-2028)
  • Table 167. China Predictive Learning, by End Use USD Million (2023-2028)
  • Table 168. China Predictive Learning, by Organisation Size USD Million (2023-2028)
  • Table 169. China Predictive Learning, by Deployment USD Million (2023-2028)
  • Table 170. Japan Predictive Learning, by Application USD Million (2023-2028)
  • Table 171. Japan Predictive Learning, by End Use USD Million (2023-2028)
  • Table 172. Japan Predictive Learning, by Organisation Size USD Million (2023-2028)
  • Table 173. Japan Predictive Learning, by Deployment USD Million (2023-2028)
  • Table 174. India Predictive Learning, by Application USD Million (2023-2028)
  • Table 175. India Predictive Learning, by End Use USD Million (2023-2028)
  • Table 176. India Predictive Learning, by Organisation Size USD Million (2023-2028)
  • Table 177. India Predictive Learning, by Deployment USD Million (2023-2028)
  • Table 178. South Korea Predictive Learning, by Application USD Million (2023-2028)
  • Table 179. South Korea Predictive Learning, by End Use USD Million (2023-2028)
  • Table 180. South Korea Predictive Learning, by Organisation Size USD Million (2023-2028)
  • Table 181. South Korea Predictive Learning, by Deployment USD Million (2023-2028)
  • Table 182. Taiwan Predictive Learning, by Application USD Million (2023-2028)
  • Table 183. Taiwan Predictive Learning, by End Use USD Million (2023-2028)
  • Table 184. Taiwan Predictive Learning, by Organisation Size USD Million (2023-2028)
  • Table 185. Taiwan Predictive Learning, by Deployment USD Million (2023-2028)
  • Table 186. Australia Predictive Learning, by Application USD Million (2023-2028)
  • Table 187. Australia Predictive Learning, by End Use USD Million (2023-2028)
  • Table 188. Australia Predictive Learning, by Organisation Size USD Million (2023-2028)
  • Table 189. Australia Predictive Learning, by Deployment USD Million (2023-2028)
  • Table 190. Rest of Asia-Pacific Predictive Learning, by Application USD Million (2023-2028)
  • Table 191. Rest of Asia-Pacific Predictive Learning, by End Use USD Million (2023-2028)
  • Table 192. Rest of Asia-Pacific Predictive Learning, by Organisation Size USD Million (2023-2028)
  • Table 193. Rest of Asia-Pacific Predictive Learning, by Deployment USD Million (2023-2028)
  • Table 194. Europe Predictive Learning, by Country USD Million (2023-2028)
  • Table 195. Europe Predictive Learning, by Application USD Million (2023-2028)
  • Table 196. Europe Predictive Learning, by End Use USD Million (2023-2028)
  • Table 197. Europe Predictive Learning, by Organisation Size USD Million (2023-2028)
  • Table 198. Europe Predictive Learning, by Deployment USD Million (2023-2028)
  • Table 199. Germany Predictive Learning, by Application USD Million (2023-2028)
  • Table 200. Germany Predictive Learning, by End Use USD Million (2023-2028)
  • Table 201. Germany Predictive Learning, by Organisation Size USD Million (2023-2028)
  • Table 202. Germany Predictive Learning, by Deployment USD Million (2023-2028)
  • Table 203. France Predictive Learning, by Application USD Million (2023-2028)
  • Table 204. France Predictive Learning, by End Use USD Million (2023-2028)
  • Table 205. France Predictive Learning, by Organisation Size USD Million (2023-2028)
  • Table 206. France Predictive Learning, by Deployment USD Million (2023-2028)
  • Table 207. Italy Predictive Learning, by Application USD Million (2023-2028)
  • Table 208. Italy Predictive Learning, by End Use USD Million (2023-2028)
  • Table 209. Italy Predictive Learning, by Organisation Size USD Million (2023-2028)
  • Table 210. Italy Predictive Learning, by Deployment USD Million (2023-2028)
  • Table 211. United Kingdom Predictive Learning, by Application USD Million (2023-2028)
  • Table 212. United Kingdom Predictive Learning, by End Use USD Million (2023-2028)
  • Table 213. United Kingdom Predictive Learning, by Organisation Size USD Million (2023-2028)
  • Table 214. United Kingdom Predictive Learning, by Deployment USD Million (2023-2028)
  • Table 215. Netherlands Predictive Learning, by Application USD Million (2023-2028)
  • Table 216. Netherlands Predictive Learning, by End Use USD Million (2023-2028)
  • Table 217. Netherlands Predictive Learning, by Organisation Size USD Million (2023-2028)
  • Table 218. Netherlands Predictive Learning, by Deployment USD Million (2023-2028)
  • Table 219. Rest of Europe Predictive Learning, by Application USD Million (2023-2028)
  • Table 220. Rest of Europe Predictive Learning, by End Use USD Million (2023-2028)
  • Table 221. Rest of Europe Predictive Learning, by Organisation Size USD Million (2023-2028)
  • Table 222. Rest of Europe Predictive Learning, by Deployment USD Million (2023-2028)
  • Table 223. MEA Predictive Learning, by Country USD Million (2023-2028)
  • Table 224. MEA Predictive Learning, by Application USD Million (2023-2028)
  • Table 225. MEA Predictive Learning, by End Use USD Million (2023-2028)
  • Table 226. MEA Predictive Learning, by Organisation Size USD Million (2023-2028)
  • Table 227. MEA Predictive Learning, by Deployment USD Million (2023-2028)
  • Table 228. Middle East Predictive Learning, by Application USD Million (2023-2028)
  • Table 229. Middle East Predictive Learning, by End Use USD Million (2023-2028)
  • Table 230. Middle East Predictive Learning, by Organisation Size USD Million (2023-2028)
  • Table 231. Middle East Predictive Learning, by Deployment USD Million (2023-2028)
  • Table 232. Africa Predictive Learning, by Application USD Million (2023-2028)
  • Table 233. Africa Predictive Learning, by End Use USD Million (2023-2028)
  • Table 234. Africa Predictive Learning, by Organisation Size USD Million (2023-2028)
  • Table 235. Africa Predictive Learning, by Deployment USD Million (2023-2028)
  • Table 236. North America Predictive Learning, by Country USD Million (2023-2028)
  • Table 237. North America Predictive Learning, by Application USD Million (2023-2028)
  • Table 238. North America Predictive Learning, by End Use USD Million (2023-2028)
  • Table 239. North America Predictive Learning, by Organisation Size USD Million (2023-2028)
  • Table 240. North America Predictive Learning, by Deployment USD Million (2023-2028)
  • Table 241. United States Predictive Learning, by Application USD Million (2023-2028)
  • Table 242. United States Predictive Learning, by End Use USD Million (2023-2028)
  • Table 243. United States Predictive Learning, by Organisation Size USD Million (2023-2028)
  • Table 244. United States Predictive Learning, by Deployment USD Million (2023-2028)
  • Table 245. Canada Predictive Learning, by Application USD Million (2023-2028)
  • Table 246. Canada Predictive Learning, by End Use USD Million (2023-2028)
  • Table 247. Canada Predictive Learning, by Organisation Size USD Million (2023-2028)
  • Table 248. Canada Predictive Learning, by Deployment USD Million (2023-2028)
  • Table 249. Mexico Predictive Learning, by Application USD Million (2023-2028)
  • Table 250. Mexico Predictive Learning, by End Use USD Million (2023-2028)
  • Table 251. Mexico Predictive Learning, by Organisation Size USD Million (2023-2028)
  • Table 252. Mexico Predictive Learning, by Deployment USD Million (2023-2028)
  • Table 253. Research Programs/Design for This Report
  • Table 254. Key Data Information from Secondary Sources
  • Table 255. 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 Predictive Learning: by Application USD Million (2017-2022)
  • Figure 5. Global Predictive Learning: by End Use USD Million (2017-2022)
  • Figure 6. South America Predictive Learning Share (%), by Country
  • Figure 7. Asia Pacific Predictive Learning Share (%), by Country
  • Figure 8. Europe Predictive Learning Share (%), by Country
  • Figure 9. MEA Predictive Learning Share (%), by Country
  • Figure 10. North America Predictive Learning Share (%), by Country
  • Figure 11. Global Predictive Learning share by Players 2022 (%)
  • Figure 12. Global Predictive Learning share by Players (Top 3) 2022(%)
  • Figure 13. Global Predictive Learning share by Players (Top 5) 2022(%)
  • Figure 14. BCG Matrix for key Companies
  • Figure 15. Siemens AG (Germany) Revenue, Net Income and Gross profit
  • Figure 16. Siemens AG (Germany) Revenue: by Geography 2022
  • Figure 17. SAP SE (Germany) Revenue, Net Income and Gross profit
  • Figure 18. SAP SE (Germany) Revenue: by Geography 2022
  • Figure 19. IBM Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 20. IBM Corporation (United States) Revenue: by Geography 2022
  • Figure 21. Microsoft Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 22. Microsoft Corporation (United States) Revenue: by Geography 2022
  • Figure 23. Oracle Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 24. Oracle Corporation (United States) Revenue: by Geography 2022
  • Figure 27. FICO (United States) Revenue, Net Income and Gross profit
  • Figure 28. FICO (United States) Revenue: by Geography 2022
  • Figure 29. SAS Institute (United States) Revenue, Net Income and Gross profit
  • Figure 30. SAS Institute (United States) Revenue: by Geography 2022
  • Figure 31. Altair Engineering Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 32. Altair Engineering Inc. (United States) Revenue: by Geography 2022
  • Figure 33. TIBCO Software (United States) Revenue, Net Income and Gross profit
  • Figure 34. TIBCO Software (United States) Revenue: by Geography 2022
  • Figure 35. Global Predictive Learning: by Application USD Million (2023-2028)
  • Figure 36. Global Predictive Learning: by End Use USD Million (2023-2028)
  • Figure 37. South America Predictive Learning Share (%), by Country
  • Figure 38. Asia Pacific Predictive Learning Share (%), by Country
  • Figure 39. Europe Predictive Learning Share (%), by Country
  • Figure 40. MEA Predictive Learning Share (%), by Country
  • Figure 41. North America Predictive Learning Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Siemens AG (Germany)
  • SAP SE (Germany)
  • IBM Corporation (United States)
  • Microsoft Corporation (United States)
  • Oracle Corporation (United States)
  • Tableau Software (United States)
  • FICO (United States)
  • SAS Institute (United States)
  • Altair Engineering Inc. (United States)
  • TIBCO Software (United States)
Additional players considered in the study are as follows:
RapidMiner (United States) , Alteryx (United States) , H2O.ai (United States)
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Key Highlights of Report


May 2023 239 Pages 84 Tables Base Year: 2022 Coverage: 15+ Companies; 18 Countries

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Global Predictive Learning Quantitative research analysis
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Frequently Asked Questions (FAQ):

The key segments that are playing vital role in Predictive Learning Market are by end use application [Finance and Risk, Operations and Workforce, Customer and Channel, Sales and Marketing and Others].
The Predictive Learning Market is gaining popularity and expected to see strong valuation by 2028.
  • Growing Adoption of Data Analytics and Cloud Computing Solutions
  • Advanced in Sophisticated Programs

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