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Global AI-Based Recommendation System Market Research Report 2025
Published Date: January 2025
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Report Code: QYRE-Auto-16Y13392
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Global AI Based Recommendation System Market Research Report 2023
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Global AI-Based Recommendation System Market Research Report 2025

Code: QYRE-Auto-16Y13392
Report
January 2025
Pages:89
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DESCRIPTION
TABLE OF CONTENT
TABLES & FIGURES

AI-Based Recommendation System Market Size

The global market for AI-Based Recommendation System was valued at US$ 2041 million in the year 2024 and is projected to reach a revised size of US$ 3384 million by 2031, growing at a CAGR of 7.6% during the forecast period.

AI-Based Recommendation System Market

AI-Based Recommendation System Market

An AI-based recommendation system is a type of software that uses artificial intelligence algorithms to analyze data on user behavior and preferences in order to suggest products, services, or content that the user is likely to be interested in. These systems are commonly used in e-commerce, entertainment, and social media platforms to enhance the user experience and increase engagement.
AI-based recommendation systems can be based on various types of algorithms, including collaborative filtering, content-based filtering, and hybrid models. Collaborative filtering analyzes user behavior and preferences to identify patterns and similarities in order to make recommendations. Content-based filtering, on the other hand, analyzes the features of products or content to recommend similar items to users based on their preferences.
Overall, AI-based recommendation systems have proved to be effective in improving user engagement, increasing sales, and reducing churn rates in various industries.
The global AI-based recommendation system market refers to the use of artificial intelligence (AI) technologies to provide personalized recommendations to individuals based on their preferences, behaviors, and historical data. AI-based recommendation systems utilize algorithms and machine learning techniques to analyze large datasets and offer suggestions for products, services, content, or actions.
The market for AI-based recommendation systems is driven by several factors:
Growing demand for personalized experiences: With the increasing volume of digital content, products, and services available, consumers are seeking personalized experiences that cater to their specific needs and preferences. AI-based recommendation systems help businesses deliver tailored recommendations, enhancing customer engagement, satisfaction, and loyalty.
Rising e-commerce and online streaming activities: The proliferation of e-commerce platforms and online streaming services has generated vast amounts of data regarding consumer preferences and behavior. AI-based recommendation systems analyze this data to provide relevant product recommendations, improve cross-selling and upselling, and enhance the overall customer shopping or content consumption experience.
Advancements in AI and machine learning technologies: The advancements in AI and machine learning algorithms have significantly improved the capabilities of recommendation systems. Deep learning techniques, natural language processing, and collaborative filtering algorithms enable more accurate and effective personalized recommendations, driving the adoption of AI-based recommendation systems across various industries.
Focus on enhancing customer engagement and retention: Businesses are increasingly recognizing the importance of customer engagement and retention for long-term success. AI-based recommendation systems help in creating personalized customer experiences, increasing customer satisfaction, and encouraging repeat purchases or usage, thereby improving customer retention rates and revenue generation.
Integration of recommendation systems in various industries: AI-based recommendation systems are employed in diverse industries, including e-commerce, media and entertainment, healthcare, banking and finance, and travel and hospitality. These systems help in suggesting relevant products, content, treatments, financial services, or travel options, catering to the specific preferences and needs of individuals in each industry.
In conclusion, the global AI-based recommendation system market is witnessing significant growth due to the increased demand for personalized experiences, the rise in e-commerce and online streaming activities, advancements in AI and machine learning technologies, and the focus on customer engagement and retention. By leveraging AI algorithms and techniques, recommendation systems improve customer experiences, drive customer loyalty, and boost business revenue. With the continuous expansion of digital content and services, the AI-based recommendation system market is expected to grow further in the coming years.The global AI-based recommendation system market refers to the use of artificial intelligence (AI) technologies to provide personalized recommendations to individuals based on their preferences, behaviors, and historical data. AI-based recommendation systems utilize algorithms and machine learning techniques to analyze large datasets and offer suggestions for products, services, content, or actions.
The market for AI-based recommendation systems is driven by several factors:
Growing demand for personalized experiences: With the increasing volume of digital content, products, and services available, consumers are seeking personalized experiences that cater to their specific needs and preferences. AI-based recommendation systems help businesses deliver tailored recommendations, enhancing customer engagement, satisfaction, and loyalty.
Rising e-commerce and online streaming activities: The proliferation of e-commerce platforms and online streaming services has generated vast amounts of data regarding consumer preferences and behavior. AI-based recommendation systems analyze this data to provide relevant product recommendations, improve cross-selling and upselling, and enhance the overall customer shopping or content consumption experience.
Advancements in AI and machine learning technologies: The advancements in AI and machine learning algorithms have significantly improved the capabilities of recommendation systems. Deep learning techniques, natural language processing, and collaborative filtering algorithms enable more accurate and effective personalized recommendations, driving the adoption of AI-based recommendation systems across various industries.
Focus on enhancing customer engagement and retention: Businesses are increasingly recognizing the importance of customer engagement and retention for long-term success. AI-based recommendation systems help in creating personalized customer experiences, increasing customer satisfaction, and encouraging repeat purchases or usage, thereby improving customer retention rates and revenue generation.
Integration of recommendation systems in various industries: AI-based recommendation systems are employed in diverse industries, including e-commerce, media and entertainment, healthcare, banking and finance, and travel and hospitality. These systems help in suggesting relevant products, content, treatments, financial services, or travel options, catering to the specific preferences and needs of individuals in each industry.
In conclusion, the global AI-based recommendation system market is witnessing significant growth due to the increased demand for personalized experiences, the rise in e-commerce and online streaming activities, advancements in AI and machine learning technologies, and the focus on customer engagement and retention. By leveraging AI algorithms and techniques, recommendation systems improve customer experiences, drive customer loyalty, and boost business revenue. With the continuous expansion of digital content and services, the AI-based recommendation system market is expected to grow further in the coming years.
This report aims to provide a comprehensive presentation of the global market for AI-Based Recommendation System, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI-Based Recommendation System.
The AI-Based Recommendation System market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. This report segments the global AI-Based Recommendation System market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the AI-Based Recommendation System companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation

Scope of AI-Based Recommendation System Market Report

Report Metric Details
Report Name AI-Based Recommendation System Market
Accounted market size in year US$ 2041 million
Forecasted market size in 2031 US$ 3384 million
CAGR 7.6%
Base Year year
Forecasted years 2025 - 2031
Segment by Type
Segment by Application
By Region
  • North America (United States, Canada)
  • Europe (Germany, France, UK, Italy, Russia) Rest of Europe
  • Nordic Countries
  • Asia-Pacific (China, Japan, South Korea)
  • Southeast Asia (India, Australia)
  • Rest of Asia
  • Latin America (Mexico, Brazil)
  • Rest of Latin America
  • Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of MEA)
By Company AWS, IBM, Google, SAP, Microsoft, Salesforce, Intel, HPE, Oracle, Sentient Technologies, Netflix, Facebook, Alibaba, Huawei, Tencent
Forecast units USD million in value
Report coverage Revenue and volume forecast, company share, competitive landscape, growth factors and trends

Chapter Outline

  • Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
  • Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
  • Chapter 3: Detailed analysis of AI-Based Recommendation System company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
  • Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
  • Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
  • Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
  • Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
  • Chapter 12: The main points and conclusions of the report.

FAQ for this report

How fast is AI-Based Recommendation System Market growing?

Ans: The AI-Based Recommendation System Market witnessing a CAGR of 7.6% during the forecast period 2025-2031.

What is the AI-Based Recommendation System Market size in 2031?

Ans: The AI-Based Recommendation System Market size in 2031 will be US$ 3384 million.

Who are the main players in the AI-Based Recommendation System Market report?

Ans: The main players in the AI-Based Recommendation System Market are AWS, IBM, Google, SAP, Microsoft, Salesforce, Intel, HPE, Oracle, Sentient Technologies, Netflix, Facebook, Alibaba, Huawei, Tencent

What are the Application segmentation covered in the AI-Based Recommendation System Market report?

Ans: The Applications covered in the AI-Based Recommendation System Market report are E-commerce Platform, Online Education, Social Networking, Finance, News and Media, Health Care, Travel, Other

What are the Type segmentation covered in the AI-Based Recommendation System Market report?

Ans: The Types covered in the AI-Based Recommendation System Market report are Collaborative Filtering, Content Based Filtering, Hybrid Recommendation

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1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI-Based Recommendation System Market Size Growth Rate by Type: 2020 VS 2024 VS 2031
1.2.2 Collaborative Filtering
1.2.3 Content Based Filtering
1.2.4 Hybrid Recommendation
1.3 Market by Application
1.3.1 Global AI-Based Recommendation System Market Growth by Application: 2020 VS 2024 VS 2031
1.3.2 E-commerce Platform
1.3.3 Online Education
1.3.4 Social Networking
1.3.5 Finance
1.3.6 News and Media
1.3.7 Health Care
1.3.8 Travel
1.3.9 Other
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI-Based Recommendation System Market Perspective (2020-2031)
2.2 Global AI-Based Recommendation System Growth Trends by Region
2.2.1 Global AI-Based Recommendation System Market Size by Region: 2020 VS 2024 VS 2031
2.2.2 AI-Based Recommendation System Historic Market Size by Region (2020-2025)
2.2.3 AI-Based Recommendation System Forecasted Market Size by Region (2026-2031)
2.3 AI-Based Recommendation System Market Dynamics
2.3.1 AI-Based Recommendation System Industry Trends
2.3.2 AI-Based Recommendation System Market Drivers
2.3.3 AI-Based Recommendation System Market Challenges
2.3.4 AI-Based Recommendation System Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI-Based Recommendation System Players by Revenue
3.1.1 Global Top AI-Based Recommendation System Players by Revenue (2020-2025)
3.1.2 Global AI-Based Recommendation System Revenue Market Share by Players (2020-2025)
3.2 Global AI-Based Recommendation System Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by AI-Based Recommendation System Revenue
3.4 Global AI-Based Recommendation System Market Concentration Ratio
3.4.1 Global AI-Based Recommendation System Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI-Based Recommendation System Revenue in 2024
3.5 Global Key Players of AI-Based Recommendation System Head office and Area Served
3.6 Global Key Players of AI-Based Recommendation System, Product and Application
3.7 Global Key Players of AI-Based Recommendation System, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 AI-Based Recommendation System Breakdown Data by Type
4.1 Global AI-Based Recommendation System Historic Market Size by Type (2020-2025)
4.2 Global AI-Based Recommendation System Forecasted Market Size by Type (2026-2031)
5 AI-Based Recommendation System Breakdown Data by Application
5.1 Global AI-Based Recommendation System Historic Market Size by Application (2020-2025)
5.2 Global AI-Based Recommendation System Forecasted Market Size by Application (2026-2031)
6 North America
6.1 North America AI-Based Recommendation System Market Size (2020-2031)
6.2 North America AI-Based Recommendation System Market Growth Rate by Country: 2020 VS 2024 VS 2031
6.3 North America AI-Based Recommendation System Market Size by Country (2020-2025)
6.4 North America AI-Based Recommendation System Market Size by Country (2026-2031)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI-Based Recommendation System Market Size (2020-2031)
7.2 Europe AI-Based Recommendation System Market Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 Europe AI-Based Recommendation System Market Size by Country (2020-2025)
7.4 Europe AI-Based Recommendation System Market Size by Country (2026-2031)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific AI-Based Recommendation System Market Size (2020-2031)
8.2 Asia-Pacific AI-Based Recommendation System Market Growth Rate by Region: 2020 VS 2024 VS 2031
8.3 Asia-Pacific AI-Based Recommendation System Market Size by Region (2020-2025)
8.4 Asia-Pacific AI-Based Recommendation System Market Size by Region (2026-2031)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America AI-Based Recommendation System Market Size (2020-2031)
9.2 Latin America AI-Based Recommendation System Market Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Latin America AI-Based Recommendation System Market Size by Country (2020-2025)
9.4 Latin America AI-Based Recommendation System Market Size by Country (2026-2031)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI-Based Recommendation System Market Size (2020-2031)
10.2 Middle East & Africa AI-Based Recommendation System Market Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 Middle East & Africa AI-Based Recommendation System Market Size by Country (2020-2025)
10.4 Middle East & Africa AI-Based Recommendation System Market Size by Country (2026-2031)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 AWS
11.1.1 AWS Company Details
11.1.2 AWS Business Overview
11.1.3 AWS AI-Based Recommendation System Introduction
11.1.4 AWS Revenue in AI-Based Recommendation System Business (2020-2025)
11.1.5 AWS Recent Development
11.2 IBM
11.2.1 IBM Company Details
11.2.2 IBM Business Overview
11.2.3 IBM AI-Based Recommendation System Introduction
11.2.4 IBM Revenue in AI-Based Recommendation System Business (2020-2025)
11.2.5 IBM Recent Development
11.3 Google
11.3.1 Google Company Details
11.3.2 Google Business Overview
11.3.3 Google AI-Based Recommendation System Introduction
11.3.4 Google Revenue in AI-Based Recommendation System Business (2020-2025)
11.3.5 Google Recent Development
11.4 SAP
11.4.1 SAP Company Details
11.4.2 SAP Business Overview
11.4.3 SAP AI-Based Recommendation System Introduction
11.4.4 SAP Revenue in AI-Based Recommendation System Business (2020-2025)
11.4.5 SAP Recent Development
11.5 Microsoft
11.5.1 Microsoft Company Details
11.5.2 Microsoft Business Overview
11.5.3 Microsoft AI-Based Recommendation System Introduction
11.5.4 Microsoft Revenue in AI-Based Recommendation System Business (2020-2025)
11.5.5 Microsoft Recent Development
11.6 Salesforce
11.6.1 Salesforce Company Details
11.6.2 Salesforce Business Overview
11.6.3 Salesforce AI-Based Recommendation System Introduction
11.6.4 Salesforce Revenue in AI-Based Recommendation System Business (2020-2025)
11.6.5 Salesforce Recent Development
11.7 Intel
11.7.1 Intel Company Details
11.7.2 Intel Business Overview
11.7.3 Intel AI-Based Recommendation System Introduction
11.7.4 Intel Revenue in AI-Based Recommendation System Business (2020-2025)
11.7.5 Intel Recent Development
11.8 HPE
11.8.1 HPE Company Details
11.8.2 HPE Business Overview
11.8.3 HPE AI-Based Recommendation System Introduction
11.8.4 HPE Revenue in AI-Based Recommendation System Business (2020-2025)
11.8.5 HPE Recent Development
11.9 Oracle
11.9.1 Oracle Company Details
11.9.2 Oracle Business Overview
11.9.3 Oracle AI-Based Recommendation System Introduction
11.9.4 Oracle Revenue in AI-Based Recommendation System Business (2020-2025)
11.9.5 Oracle Recent Development
11.10 Sentient Technologies
11.10.1 Sentient Technologies Company Details
11.10.2 Sentient Technologies Business Overview
11.10.3 Sentient Technologies AI-Based Recommendation System Introduction
11.10.4 Sentient Technologies Revenue in AI-Based Recommendation System Business (2020-2025)
11.10.5 Sentient Technologies Recent Development
11.11 Netflix
11.11.1 Netflix Company Details
11.11.2 Netflix Business Overview
11.11.3 Netflix AI-Based Recommendation System Introduction
11.11.4 Netflix Revenue in AI-Based Recommendation System Business (2020-2025)
11.11.5 Netflix Recent Development
11.12 Facebook
11.12.1 Facebook Company Details
11.12.2 Facebook Business Overview
11.12.3 Facebook AI-Based Recommendation System Introduction
11.12.4 Facebook Revenue in AI-Based Recommendation System Business (2020-2025)
11.12.5 Facebook Recent Development
11.13 Alibaba
11.13.1 Alibaba Company Details
11.13.2 Alibaba Business Overview
11.13.3 Alibaba AI-Based Recommendation System Introduction
11.13.4 Alibaba Revenue in AI-Based Recommendation System Business (2020-2025)
11.13.5 Alibaba Recent Development
11.14 Huawei
11.14.1 Huawei Company Details
11.14.2 Huawei Business Overview
11.14.3 Huawei AI-Based Recommendation System Introduction
11.14.4 Huawei Revenue in AI-Based Recommendation System Business (2020-2025)
11.14.5 Huawei Recent Development
11.15 Tencent
11.15.1 Tencent Company Details
11.15.2 Tencent Business Overview
11.15.3 Tencent AI-Based Recommendation System Introduction
11.15.4 Tencent Revenue in AI-Based Recommendation System Business (2020-2025)
11.15.5 Tencent Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer
List of Tables
 Table 1. Global AI-Based Recommendation System Market Size Growth Rate by Type (US$ Million): 2020 VS 2024 VS 2031
 Table 2. Key Players of Collaborative Filtering
 Table 3. Key Players of Content Based Filtering
 Table 4. Key Players of Hybrid Recommendation
 Table 5. Global AI-Based Recommendation System Market Size Growth by Application (US$ Million): 2020 VS 2024 VS 2031
 Table 6. Global AI-Based Recommendation System Market Size by Region (US$ Million): 2020 VS 2024 VS 2031
 Table 7. Global AI-Based Recommendation System Market Size by Region (2020-2025) & (US$ Million)
 Table 8. Global AI-Based Recommendation System Market Share by Region (2020-2025)
 Table 9. Global AI-Based Recommendation System Forecasted Market Size by Region (2026-2031) & (US$ Million)
 Table 10. Global AI-Based Recommendation System Market Share by Region (2026-2031)
 Table 11. AI-Based Recommendation System Market Trends
 Table 12. AI-Based Recommendation System Market Drivers
 Table 13. AI-Based Recommendation System Market Challenges
 Table 14. AI-Based Recommendation System Market Restraints
 Table 15. Global AI-Based Recommendation System Revenue by Players (2020-2025) & (US$ Million)
 Table 16. Global AI-Based Recommendation System Market Share by Players (2020-2025)
 Table 17. Global Top AI-Based Recommendation System Players by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in AI-Based Recommendation System as of 2024)
 Table 18. Ranking of Global Top AI-Based Recommendation System Companies by Revenue (US$ Million) in 2024
 Table 19. Global 5 Largest Players Market Share by AI-Based Recommendation System Revenue (CR5 and HHI) & (2020-2025)
 Table 20. Global Key Players of AI-Based Recommendation System, Headquarters and Area Served
 Table 21. Global Key Players of AI-Based Recommendation System, Product and Application
 Table 22. Global Key Players of AI-Based Recommendation System, Date of Enter into This Industry
 Table 23. Mergers & Acquisitions, Expansion Plans
 Table 24. Global AI-Based Recommendation System Market Size by Type (2020-2025) & (US$ Million)
 Table 25. Global AI-Based Recommendation System Revenue Market Share by Type (2020-2025)
 Table 26. Global AI-Based Recommendation System Forecasted Market Size by Type (2026-2031) & (US$ Million)
 Table 27. Global AI-Based Recommendation System Revenue Market Share by Type (2026-2031)
 Table 28. Global AI-Based Recommendation System Market Size by Application (2020-2025) & (US$ Million)
 Table 29. Global AI-Based Recommendation System Revenue Market Share by Application (2020-2025)
 Table 30. Global AI-Based Recommendation System Forecasted Market Size by Application (2026-2031) & (US$ Million)
 Table 31. Global AI-Based Recommendation System Revenue Market Share by Application (2026-2031)
 Table 32. North America AI-Based Recommendation System Market Size Growth Rate by Country (US$ Million): 2020 VS 2024 VS 2031
 Table 33. North America AI-Based Recommendation System Market Size by Country (2020-2025) & (US$ Million)
 Table 34. North America AI-Based Recommendation System Market Size by Country (2026-2031) & (US$ Million)
 Table 35. Europe AI-Based Recommendation System Market Size Growth Rate by Country (US$ Million): 2020 VS 2024 VS 2031
 Table 36. Europe AI-Based Recommendation System Market Size by Country (2020-2025) & (US$ Million)
 Table 37. Europe AI-Based Recommendation System Market Size by Country (2026-2031) & (US$ Million)
 Table 38. Asia-Pacific AI-Based Recommendation System Market Size Growth Rate by Region (US$ Million): 2020 VS 2024 VS 2031
 Table 39. Asia-Pacific AI-Based Recommendation System Market Size by Region (2020-2025) & (US$ Million)
 Table 40. Asia-Pacific AI-Based Recommendation System Market Size by Region (2026-2031) & (US$ Million)
 Table 41. Latin America AI-Based Recommendation System Market Size Growth Rate by Country (US$ Million): 2020 VS 2024 VS 2031
 Table 42. Latin America AI-Based Recommendation System Market Size by Country (2020-2025) & (US$ Million)
 Table 43. Latin America AI-Based Recommendation System Market Size by Country (2026-2031) & (US$ Million)
 Table 44. Middle East & Africa AI-Based Recommendation System Market Size Growth Rate by Country (US$ Million): 2020 VS 2024 VS 2031
 Table 45. Middle East & Africa AI-Based Recommendation System Market Size by Country (2020-2025) & (US$ Million)
 Table 46. Middle East & Africa AI-Based Recommendation System Market Size by Country (2026-2031) & (US$ Million)
 Table 47. AWS Company Details
 Table 48. AWS Business Overview
 Table 49. AWS AI-Based Recommendation System Product
 Table 50. AWS Revenue in AI-Based Recommendation System Business (2020-2025) & (US$ Million)
 Table 51. AWS Recent Development
 Table 52. IBM Company Details
 Table 53. IBM Business Overview
 Table 54. IBM AI-Based Recommendation System Product
 Table 55. IBM Revenue in AI-Based Recommendation System Business (2020-2025) & (US$ Million)
 Table 56. IBM Recent Development
 Table 57. Google Company Details
 Table 58. Google Business Overview
 Table 59. Google AI-Based Recommendation System Product
 Table 60. Google Revenue in AI-Based Recommendation System Business (2020-2025) & (US$ Million)
 Table 61. Google Recent Development
 Table 62. SAP Company Details
 Table 63. SAP Business Overview
 Table 64. SAP AI-Based Recommendation System Product
 Table 65. SAP Revenue in AI-Based Recommendation System Business (2020-2025) & (US$ Million)
 Table 66. SAP Recent Development
 Table 67. Microsoft Company Details
 Table 68. Microsoft Business Overview
 Table 69. Microsoft AI-Based Recommendation System Product
 Table 70. Microsoft Revenue in AI-Based Recommendation System Business (2020-2025) & (US$ Million)
 Table 71. Microsoft Recent Development
 Table 72. Salesforce Company Details
 Table 73. Salesforce Business Overview
 Table 74. Salesforce AI-Based Recommendation System Product
 Table 75. Salesforce Revenue in AI-Based Recommendation System Business (2020-2025) & (US$ Million)
 Table 76. Salesforce Recent Development
 Table 77. Intel Company Details
 Table 78. Intel Business Overview
 Table 79. Intel AI-Based Recommendation System Product
 Table 80. Intel Revenue in AI-Based Recommendation System Business (2020-2025) & (US$ Million)
 Table 81. Intel Recent Development
 Table 82. HPE Company Details
 Table 83. HPE Business Overview
 Table 84. HPE AI-Based Recommendation System Product
 Table 85. HPE Revenue in AI-Based Recommendation System Business (2020-2025) & (US$ Million)
 Table 86. HPE Recent Development
 Table 87. Oracle Company Details
 Table 88. Oracle Business Overview
 Table 89. Oracle AI-Based Recommendation System Product
 Table 90. Oracle Revenue in AI-Based Recommendation System Business (2020-2025) & (US$ Million)
 Table 91. Oracle Recent Development
 Table 92. Sentient Technologies Company Details
 Table 93. Sentient Technologies Business Overview
 Table 94. Sentient Technologies AI-Based Recommendation System Product
 Table 95. Sentient Technologies Revenue in AI-Based Recommendation System Business (2020-2025) & (US$ Million)
 Table 96. Sentient Technologies Recent Development
 Table 97. Netflix Company Details
 Table 98. Netflix Business Overview
 Table 99. Netflix AI-Based Recommendation System Product
 Table 100. Netflix Revenue in AI-Based Recommendation System Business (2020-2025) & (US$ Million)
 Table 101. Netflix Recent Development
 Table 102. Facebook Company Details
 Table 103. Facebook Business Overview
 Table 104. Facebook AI-Based Recommendation System Product
 Table 105. Facebook Revenue in AI-Based Recommendation System Business (2020-2025) & (US$ Million)
 Table 106. Facebook Recent Development
 Table 107. Alibaba Company Details
 Table 108. Alibaba Business Overview
 Table 109. Alibaba AI-Based Recommendation System Product
 Table 110. Alibaba Revenue in AI-Based Recommendation System Business (2020-2025) & (US$ Million)
 Table 111. Alibaba Recent Development
 Table 112. Huawei Company Details
 Table 113. Huawei Business Overview
 Table 114. Huawei AI-Based Recommendation System Product
 Table 115. Huawei Revenue in AI-Based Recommendation System Business (2020-2025) & (US$ Million)
 Table 116. Huawei Recent Development
 Table 117. Tencent Company Details
 Table 118. Tencent Business Overview
 Table 119. Tencent AI-Based Recommendation System Product
 Table 120. Tencent Revenue in AI-Based Recommendation System Business (2020-2025) & (US$ Million)
 Table 121. Tencent Recent Development
 Table 122. Research Programs/Design for This Report
 Table 123. Key Data Information from Secondary Sources
 Table 124. Key Data Information from Primary Sources
 Table 125. Authors List of This Report


List of Figures
 Figure 1. AI-Based Recommendation System Picture
 Figure 2. Global AI-Based Recommendation System Market Size Comparison by Type (2020-2031) & (US$ Million)
 Figure 3. Global AI-Based Recommendation System Market Share by Type: 2024 VS 2031
 Figure 4. Collaborative Filtering Features
 Figure 5. Content Based Filtering Features
 Figure 6. Hybrid Recommendation Features
 Figure 7. Global AI-Based Recommendation System Market Size by Application (2020-2031) & (US$ Million)
 Figure 8. Global AI-Based Recommendation System Market Share by Application: 2024 VS 2031
 Figure 9. E-commerce Platform Case Studies
 Figure 10. Online Education Case Studies
 Figure 11. Social Networking Case Studies
 Figure 12. Finance Case Studies
 Figure 13. News and Media Case Studies
 Figure 14. Health Care Case Studies
 Figure 15. Travel Case Studies
 Figure 16. Other Case Studies
 Figure 17. AI-Based Recommendation System Report Years Considered
 Figure 18. Global AI-Based Recommendation System Market Size (US$ Million), Year-over-Year: 2020-2031
 Figure 19. Global AI-Based Recommendation System Market Size, (US$ Million), 2020 VS 2024 VS 2031
 Figure 20. Global AI-Based Recommendation System Market Share by Region: 2024 VS 2031
 Figure 21. Global AI-Based Recommendation System Market Share by Players in 2024
 Figure 22. Global Top AI-Based Recommendation System Players by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in AI-Based Recommendation System as of 2024)
 Figure 23. The Top 10 and 5 Players Market Share by AI-Based Recommendation System Revenue in 2024
 Figure 24. North America AI-Based Recommendation System Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 25. North America AI-Based Recommendation System Market Share by Country (2020-2031)
 Figure 26. United States AI-Based Recommendation System Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 27. Canada AI-Based Recommendation System Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 28. Europe AI-Based Recommendation System Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 29. Europe AI-Based Recommendation System Market Share by Country (2020-2031)
 Figure 30. Germany AI-Based Recommendation System Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 31. France AI-Based Recommendation System Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 32. U.K. AI-Based Recommendation System Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 33. Italy AI-Based Recommendation System Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 34. Russia AI-Based Recommendation System Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 35. Nordic Countries AI-Based Recommendation System Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 36. Asia-Pacific AI-Based Recommendation System Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 37. Asia-Pacific AI-Based Recommendation System Market Share by Region (2020-2031)
 Figure 38. China AI-Based Recommendation System Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 39. Japan AI-Based Recommendation System Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 40. South Korea AI-Based Recommendation System Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 41. Southeast Asia AI-Based Recommendation System Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 42. India AI-Based Recommendation System Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 43. Australia AI-Based Recommendation System Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 44. Latin America AI-Based Recommendation System Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 45. Latin America AI-Based Recommendation System Market Share by Country (2020-2031)
 Figure 46. Mexico AI-Based Recommendation System Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 47. Brazil AI-Based Recommendation System Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 48. Middle East & Africa AI-Based Recommendation System Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 49. Middle East & Africa AI-Based Recommendation System Market Share by Country (2020-2031)
 Figure 50. Turkey AI-Based Recommendation System Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 51. Saudi Arabia AI-Based Recommendation System Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 52. UAE AI-Based Recommendation System Market Size YoY Growth (2020-2031) & (US$ Million)
 Figure 53. AWS Revenue Growth Rate in AI-Based Recommendation System Business (2020-2025)
 Figure 54. IBM Revenue Growth Rate in AI-Based Recommendation System Business (2020-2025)
 Figure 55. Google Revenue Growth Rate in AI-Based Recommendation System Business (2020-2025)
 Figure 56. SAP Revenue Growth Rate in AI-Based Recommendation System Business (2020-2025)
 Figure 57. Microsoft Revenue Growth Rate in AI-Based Recommendation System Business (2020-2025)
 Figure 58. Salesforce Revenue Growth Rate in AI-Based Recommendation System Business (2020-2025)
 Figure 59. Intel Revenue Growth Rate in AI-Based Recommendation System Business (2020-2025)
 Figure 60. HPE Revenue Growth Rate in AI-Based Recommendation System Business (2020-2025)
 Figure 61. Oracle Revenue Growth Rate in AI-Based Recommendation System Business (2020-2025)
 Figure 62. Sentient Technologies Revenue Growth Rate in AI-Based Recommendation System Business (2020-2025)
 Figure 63. Netflix Revenue Growth Rate in AI-Based Recommendation System Business (2020-2025)
 Figure 64. Facebook Revenue Growth Rate in AI-Based Recommendation System Business (2020-2025)
 Figure 65. Alibaba Revenue Growth Rate in AI-Based Recommendation System Business (2020-2025)
 Figure 66. Huawei Revenue Growth Rate in AI-Based Recommendation System Business (2020-2025)
 Figure 67. Tencent Revenue Growth Rate in AI-Based Recommendation System Business (2020-2025)
 Figure 68. Bottom-up and Top-down Approaches for This Report
 Figure 69. Data Triangulation
 Figure 70. Key Executives Interviewed
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