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Global AI-based Recommendation Engine Market Growth (Status and Outlook) 2024-2030

May 2024 | 100 pages | ID: G39D0C4C3FB2EN
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AI-based recommendation system is a sophisticated tool that analyzes data to suggest relevant items to users. These systems are the driving force behind the 'You might also like' sections across various digital platforms, whether it be in online shopping, streaming services, or social media. From a technical standpoint, these systems leverage machine learning algorithms to sift through large datasets. They identify patterns, preferences, and behaviors of users to predict what might interest them next. These algorithms can range from simple rule-based engines to complex neural networks that learn and evolve with each user interaction. They analyze past behavior, consider similar user profiles, and sometimes even incorporate external data to make their suggestions as relevant as possible.

The global AI-based Recommendation Engine market size is projected to grow from US$ 1996 million in 2024 to US$ 3147 million in 2030; it is expected to grow at a CAGR of 7.9% from 2024 to 2030.

LPI (LP Information)' newest research report, the “AI-based Recommendation Engine Industry Forecast” looks at past sales and reviews total world AI-based Recommendation Engine sales in 2022, providing a comprehensive analysis by region and market sector of projected AI-based Recommendation Engine sales for 2023 through 2029. With AI-based Recommendation Engine sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI-based Recommendation Engine industry.

This Insight Report provides a comprehensive analysis of the global AI-based Recommendation Engine landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on AI-based Recommendation Engine portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI-based Recommendation Engine market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI-based Recommendation Engine and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global AI-based Recommendation Engine.

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 presents a comprehensive overview, market shares, and growth opportunities of AI-based Recommendation Engine market by product type, application, key players and key regions and countries.

Segmentation by Type:
  • Collaborative Filtering
  • Content Based Filtering
  • Hybrid Recommendation
Segmentation by Application:
  • E-commerce Platform
  • Finance
  • Social Media
  • Others
This report also splits the market by region:
  • Americas
    • United States
    • Canada
    • Mexico
    • Brazil
  • APAC
    • China
    • Japan
    • Korea
    • Southeast Asia
    • India
    • Australia
  • Europe
    • Germany
    • France
    • UK
    • Italy
    • Russia
  • Middle East & Africa
    • Egypt
    • South Africa
    • Israel
    • Turkey
    • GCC Countries
Segmentation by Type:
  • Collaborative Filtering
  • Content Based Filtering
  • Hybrid Recommendation
Segmentation by Application:
  • E-commerce Platform
  • Finance
  • Social Media
  • Others
This report also splits the market by region:
  • Americas
    • United States
    • Canada
    • Mexico
    • Brazil
  • APAC
    • China
    • Japan
    • Korea
    • Southeast Asia
    • India
    • Australia
  • Europe
    • Germany
    • France
    • UK
    • Italy
    • Russia
  • Middle East & Africa
    • Egypt
    • South Africa
    • Israel
    • Turkey
    • GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
  • Microsoft
  • Google
  • Andi Search
  • Metaphor AI
  • Brave
  • Phind
  • Perplexity AI
  • NeevaAI
  • Qubit
  • Dynamic Yield
1 SCOPE OF THE REPORT

1.1 Market Introduction
1.2 Years Considered
1.3 Research Objectives
1.4 Market Research Methodology
1.5 Research Process and Data Source
1.6 Economic Indicators
1.7 Currency Considered
1.8 Market Estimation Caveats

2 EXECUTIVE SUMMARY

2.1 World Market Overview
  2.1.1 Global AI-based Recommendation Engine Market Size 2019-2030
  2.1.2 AI-based Recommendation Engine Market Size CAGR by Region (2019 VS 2023 VS 2030)
  2.1.3 World Current & Future Analysis for AI-based Recommendation Engine by Country/Region, 2019, 2023 & 2030
2.2 AI-based Recommendation Engine Segment by Type
  2.2.1 Collaborative Filtering
  2.2.2 Content Based Filtering
  2.2.3 Hybrid Recommendation
2.3 AI-based Recommendation Engine Market Size by Type
  2.3.1 AI-based Recommendation Engine Market Size CAGR by Type (2019 VS 2023 VS 2030)
  2.3.2 Global AI-based Recommendation Engine Market Size Market Share by Type (2019-2024)
2.4 AI-based Recommendation Engine Segment by Application
  2.4.1 E-commerce Platform
  2.4.2 Finance
  2.4.3 Social Media
  2.4.4 Others
2.5 AI-based Recommendation Engine Market Size by Application
  2.5.1 AI-based Recommendation Engine Market Size CAGR by Application (2019 VS 2023 VS 2030)
  2.5.2 Global AI-based Recommendation Engine Market Size Market Share by Application (2019-2024)

3 AI-BASED RECOMMENDATION ENGINE MARKET SIZE BY PLAYER

3.1 AI-based Recommendation Engine Market Size Market Share by Player
  3.1.1 Global AI-based Recommendation Engine Revenue by Player (2019-2024)
  3.1.2 Global AI-based Recommendation Engine Revenue Market Share by Player (2019-2024)
3.2 Global AI-based Recommendation Engine Key Players Head office and Products Offered
3.3 Market Concentration Rate Analysis
  3.3.1 Competition Landscape Analysis
  3.3.2 Concentration Ratio (CR3, CR5 and CR10) & (2022-2024)
3.4 New Products and Potential Entrants
3.5 Mergers & Acquisitions, Expansion

4 AI-BASED RECOMMENDATION ENGINE BY REGION

4.1 AI-based Recommendation Engine Market Size by Region (2019-2024)
4.2 Global AI-based Recommendation Engine Annual Revenue by Country/Region (2019-2024)
4.3 Americas AI-based Recommendation Engine Market Size Growth (2019-2024)
4.4 APAC AI-based Recommendation Engine Market Size Growth (2019-2024)
4.5 Europe AI-based Recommendation Engine Market Size Growth (2019-2024)
4.6 Middle East & Africa AI-based Recommendation Engine Market Size Growth (2019-2024)

5 AMERICAS

5.1 Americas AI-based Recommendation Engine Market Size by Country (2019-2024)
5.2 Americas AI-based Recommendation Engine Market Size by Type (2019-2024)
5.3 Americas AI-based Recommendation Engine Market Size by Application (2019-2024)
5.4 United States
5.5 Canada
5.6 Mexico
5.7 Brazil

6 APAC

6.1 APAC AI-based Recommendation Engine Market Size by Region (2019-2024)
6.2 APAC AI-based Recommendation Engine Market Size by Type (2019-2024)
6.3 APAC AI-based Recommendation Engine Market Size by Application (2019-2024)
6.4 China
6.5 Japan
6.6 South Korea
6.7 Southeast Asia
6.8 India
6.9 Australia

7 EUROPE

7.1 Europe AI-based Recommendation Engine Market Size by Country (2019-2024)
7.2 Europe AI-based Recommendation Engine Market Size by Type (2019-2024)
7.3 Europe AI-based Recommendation Engine Market Size by Application (2019-2024)
7.4 Germany
7.5 France
7.6 UK
7.7 Italy
7.8 Russia

8 MIDDLE EAST & AFRICA

8.1 Middle East & Africa AI-based Recommendation Engine by Region (2019-2024)
8.2 Middle East & Africa AI-based Recommendation Engine Market Size by Type (2019-2024)
8.3 Middle East & Africa AI-based Recommendation Engine Market Size by Application (2019-2024)
8.4 Egypt
8.5 South Africa
8.6 Israel
8.7 Turkey
8.8 GCC Countries

9 MARKET DRIVERS, CHALLENGES AND TRENDS

9.1 Market Drivers & Growth Opportunities
9.2 Market Challenges & Risks
9.3 Industry Trends

10 GLOBAL AI-BASED RECOMMENDATION ENGINE MARKET FORECAST

10.1 Global AI-based Recommendation Engine Forecast by Region (2025-2030)
  10.1.1 Global AI-based Recommendation Engine Forecast by Region (2025-2030)
  10.1.2 Americas AI-based Recommendation Engine Forecast
  10.1.3 APAC AI-based Recommendation Engine Forecast
  10.1.4 Europe AI-based Recommendation Engine Forecast
  10.1.5 Middle East & Africa AI-based Recommendation Engine Forecast
10.2 Americas AI-based Recommendation Engine Forecast by Country (2025-2030)
  10.2.1 United States Market AI-based Recommendation Engine Forecast
  10.2.2 Canada Market AI-based Recommendation Engine Forecast
  10.2.3 Mexico Market AI-based Recommendation Engine Forecast
  10.2.4 Brazil Market AI-based Recommendation Engine Forecast
10.3 APAC AI-based Recommendation Engine Forecast by Region (2025-2030)
  10.3.1 China AI-based Recommendation Engine Market Forecast
  10.3.2 Japan Market AI-based Recommendation Engine Forecast
  10.3.3 Korea Market AI-based Recommendation Engine Forecast
  10.3.4 Southeast Asia Market AI-based Recommendation Engine Forecast
  10.3.5 India Market AI-based Recommendation Engine Forecast
  10.3.6 Australia Market AI-based Recommendation Engine Forecast
10.4 Europe AI-based Recommendation Engine Forecast by Country (2025-2030)
  10.4.1 Germany Market AI-based Recommendation Engine Forecast
  10.4.2 France Market AI-based Recommendation Engine Forecast
  10.4.3 UK Market AI-based Recommendation Engine Forecast
  10.4.4 Italy Market AI-based Recommendation Engine Forecast
  10.4.5 Russia Market AI-based Recommendation Engine Forecast
10.5 Middle East & Africa AI-based Recommendation Engine Forecast by Region (2025-2030)
  10.5.1 Egypt Market AI-based Recommendation Engine Forecast
  10.5.2 South Africa Market AI-based Recommendation Engine Forecast
  10.5.3 Israel Market AI-based Recommendation Engine Forecast
  10.5.4 Turkey Market AI-based Recommendation Engine Forecast
10.6 Global AI-based Recommendation Engine Forecast by Type (2025-2030)
10.7 Global AI-based Recommendation Engine Forecast by Application (2025-2030)
  10.7.1 GCC Countries Market AI-based Recommendation Engine Forecast

11 KEY PLAYERS ANALYSIS

11.1 Microsoft
  11.1.1 Microsoft Company Information
  11.1.2 Microsoft AI-based Recommendation Engine Product Offered
  11.1.3 Microsoft AI-based Recommendation Engine Revenue, Gross Margin and Market Share (2019-2024)
  11.1.4 Microsoft Main Business Overview
  11.1.5 Microsoft Latest Developments
11.2 Google
  11.2.1 Google Company Information
  11.2.2 Google AI-based Recommendation Engine Product Offered
  11.2.3 Google AI-based Recommendation Engine Revenue, Gross Margin and Market Share (2019-2024)
  11.2.4 Google Main Business Overview
  11.2.5 Google Latest Developments
11.3 Andi Search
  11.3.1 Andi Search Company Information
  11.3.2 Andi Search AI-based Recommendation Engine Product Offered
  11.3.3 Andi Search AI-based Recommendation Engine Revenue, Gross Margin and Market Share (2019-2024)
  11.3.4 Andi Search Main Business Overview
  11.3.5 Andi Search Latest Developments
11.4 Metaphor AI
  11.4.1 Metaphor AI Company Information
  11.4.2 Metaphor AI AI-based Recommendation Engine Product Offered
  11.4.3 Metaphor AI AI-based Recommendation Engine Revenue, Gross Margin and Market Share (2019-2024)
  11.4.4 Metaphor AI Main Business Overview
  11.4.5 Metaphor AI Latest Developments
11.5 Brave
  11.5.1 Brave Company Information
  11.5.2 Brave AI-based Recommendation Engine Product Offered
  11.5.3 Brave AI-based Recommendation Engine Revenue, Gross Margin and Market Share (2019-2024)
  11.5.4 Brave Main Business Overview
  11.5.5 Brave Latest Developments
11.6 Phind
  11.6.1 Phind Company Information
  11.6.2 Phind AI-based Recommendation Engine Product Offered
  11.6.3 Phind AI-based Recommendation Engine Revenue, Gross Margin and Market Share (2019-2024)
  11.6.4 Phind Main Business Overview
  11.6.5 Phind Latest Developments
11.7 Perplexity AI
  11.7.1 Perplexity AI Company Information
  11.7.2 Perplexity AI AI-based Recommendation Engine Product Offered
  11.7.3 Perplexity AI AI-based Recommendation Engine Revenue, Gross Margin and Market Share (2019-2024)
  11.7.4 Perplexity AI Main Business Overview
  11.7.5 Perplexity AI Latest Developments
11.8 NeevaAI
  11.8.1 NeevaAI Company Information
  11.8.2 NeevaAI AI-based Recommendation Engine Product Offered
  11.8.3 NeevaAI AI-based Recommendation Engine Revenue, Gross Margin and Market Share (2019-2024)
  11.8.4 NeevaAI Main Business Overview
  11.8.5 NeevaAI Latest Developments
11.9 Qubit
  11.9.1 Qubit Company Information
  11.9.2 Qubit AI-based Recommendation Engine Product Offered
  11.9.3 Qubit AI-based Recommendation Engine Revenue, Gross Margin and Market Share (2019-2024)
  11.9.4 Qubit Main Business Overview
  11.9.5 Qubit Latest Developments
11.10 Dynamic Yield
  11.10.1 Dynamic Yield Company Information
  11.10.2 Dynamic Yield AI-based Recommendation Engine Product Offered
  11.10.3 Dynamic Yield AI-based Recommendation Engine Revenue, Gross Margin and Market Share (2019-2024)
  11.10.4 Dynamic Yield Main Business Overview
  11.10.5 Dynamic Yield Latest Developments

12 RESEARCH FINDINGS AND CONCLUSION


LIST OF TABLES

Table 1. AI-based Recommendation Engine Market Size CAGR by Region (2019 VS 2023 VS 2030) & ($ millions)
Table 2. AI-based Recommendation Engine Annual Sales CAGR by Country/Region (2019, 2023 & 2030) & ($ millions)
Table 3. Major Players of Collaborative Filtering
Table 4. Major Players of Content Based Filtering
Table 5. Major Players of Hybrid Recommendation
Table 6. AI-based Recommendation Engine Market Size CAGR by Type (2019 VS 2023 VS 2030) & ($ millions)
Table 7. Global AI-based Recommendation Engine Market Size by Type (2019-2024) & ($ millions)
Table 8. Global AI-based Recommendation Engine Market Size Market Share by Type (2019-2024)
Table 9. AI-based Recommendation Engine Market Size CAGR by Application (2019 VS 2023 VS 2030) & ($ millions)
Table 10. Global AI-based Recommendation Engine Market Size by Application (2019-2024) & ($ millions)
Table 11. Global AI-based Recommendation Engine Market Size Market Share by Application (2019-2024)
Table 12. Global AI-based Recommendation Engine Revenue by Player (2019-2024) & ($ millions)
Table 13. Global AI-based Recommendation Engine Revenue Market Share by Player (2019-2024)
Table 14. AI-based Recommendation Engine Key Players Head office and Products Offered
Table 15. AI-based Recommendation Engine Concentration Ratio (CR3, CR5 and CR10) & (2022-2024)
Table 16. New Products and Potential Entrants
Table 17. Mergers & Acquisitions, Expansion
Table 18. Global AI-based Recommendation Engine Market Size by Region (2019-2024) & ($ millions)
Table 19. Global AI-based Recommendation Engine Market Size Market Share by Region (2019-2024)
Table 20. Global AI-based Recommendation Engine Revenue by Country/Region (2019-2024) & ($ millions)
Table 21. Global AI-based Recommendation Engine Revenue Market Share by Country/Region (2019-2024)
Table 22. Americas AI-based Recommendation Engine Market Size by Country (2019-2024) & ($ millions)
Table 23. Americas AI-based Recommendation Engine Market Size Market Share by Country (2019-2024)
Table 24. Americas AI-based Recommendation Engine Market Size by Type (2019-2024) & ($ millions)
Table 25. Americas AI-based Recommendation Engine Market Size Market Share by Type (2019-2024)
Table 26. Americas AI-based Recommendation Engine Market Size by Application (2019-2024) & ($ millions)
Table 27. Americas AI-based Recommendation Engine Market Size Market Share by Application (2019-2024)
Table 28. APAC AI-based Recommendation Engine Market Size by Region (2019-2024) & ($ millions)
Table 29. APAC AI-based Recommendation Engine Market Size Market Share by Region (2019-2024)
Table 30. APAC AI-based Recommendation Engine Market Size by Type (2019-2024) & ($ millions)
Table 31. APAC AI-based Recommendation Engine Market Size by Application (2019-2024) & ($ millions)
Table 32. Europe AI-based Recommendation Engine Market Size by Country (2019-2024) & ($ millions)
Table 33. Europe AI-based Recommendation Engine Market Size Market Share by Country (2019-2024)
Table 34. Europe AI-based Recommendation Engine Market Size by Type (2019-2024) & ($ millions)
Table 35. Europe AI-based Recommendation Engine Market Size by Application (2019-2024) & ($ millions)
Table 36. Middle East & Africa AI-based Recommendation Engine Market Size by Region (2019-2024) & ($ millions)
Table 37. Middle East & Africa AI-based Recommendation Engine Market Size by Type (2019-2024) & ($ millions)
Table 38. Middle East & Africa AI-based Recommendation Engine Market Size by Application (2019-2024) & ($ millions)
Table 39. Key Market Drivers & Growth Opportunities of AI-based Recommendation Engine
Table 40. Key Market Challenges & Risks of AI-based Recommendation Engine
Table 41. Key Industry Trends of AI-based Recommendation Engine
Table 42. Global AI-based Recommendation Engine Market Size Forecast by Region (2025-2030) & ($ millions)
Table 43. Global AI-based Recommendation Engine Market Size Market Share Forecast by Region (2025-2030)
Table 44. Global AI-based Recommendation Engine Market Size Forecast by Type (2025-2030) & ($ millions)
Table 45. Global AI-based Recommendation Engine Market Size Forecast by Application (2025-2030) & ($ millions)
Table 46. Microsoft Details, Company Type, AI-based Recommendation Engine Area Served and Its Competitors
Table 47. Microsoft AI-based Recommendation Engine Product Offered
Table 48. Microsoft AI-based Recommendation Engine Revenue ($ million), Gross Margin and Market Share (2019-2024)
Table 49. Microsoft Main Business
Table 50. Microsoft Latest Developments
Table 51. Google Details, Company Type, AI-based Recommendation Engine Area Served and Its Competitors
Table 52. Google AI-based Recommendation Engine Product Offered
Table 53. Google AI-based Recommendation Engine Revenue ($ million), Gross Margin and Market Share (2019-2024)
Table 54. Google Main Business
Table 55. Google Latest Developments
Table 56. Andi Search Details, Company Type, AI-based Recommendation Engine Area Served and Its Competitors
Table 57. Andi Search AI-based Recommendation Engine Product Offered
Table 58. Andi Search AI-based Recommendation Engine Revenue ($ million), Gross Margin and Market Share (2019-2024)
Table 59. Andi Search Main Business
Table 60. Andi Search Latest Developments
Table 61. Metaphor AI Details, Company Type, AI-based Recommendation Engine Area Served and Its Competitors
Table 62. Metaphor AI AI-based Recommendation Engine Product Offered
Table 63. Metaphor AI AI-based Recommendation Engine Revenue ($ million), Gross Margin and Market Share (2019-2024)
Table 64. Metaphor AI Main Business
Table 65. Metaphor AI Latest Developments
Table 66. Brave Details, Company Type, AI-based Recommendation Engine Area Served and Its Competitors
Table 67. Brave AI-based Recommendation Engine Product Offered
Table 68. Brave AI-based Recommendation Engine Revenue ($ million), Gross Margin and Market Share (2019-2024)
Table 69. Brave Main Business
Table 70. Brave Latest Developments
Table 71. Phind Details, Company Type, AI-based Recommendation Engine Area Served and Its Competitors
Table 72. Phind AI-based Recommendation Engine Product Offered
Table 73. Phind AI-based Recommendation Engine Revenue ($ million), Gross Margin and Market Share (2019-2024)
Table 74. Phind Main Business
Table 75. Phind Latest Developments
Table 76. Perplexity AI Details, Company Type, AI-based Recommendation Engine Area Served and Its Competitors
Table 77. Perplexity AI AI-based Recommendation Engine Product Offered
Table 78. Perplexity AI AI-based Recommendation Engine Revenue ($ million), Gross Margin and Market Share (2019-2024)
Table 79. Perplexity AI Main Business
Table 80. Perplexity AI Latest Developments
Table 81. NeevaAI Details, Company Type, AI-based Recommendation Engine Area Served and Its Competitors
Table 82. NeevaAI AI-based Recommendation Engine Product Offered
Table 83. NeevaAI AI-based Recommendation Engine Revenue ($ million), Gross Margin and Market Share (2019-2024)
Table 84. NeevaAI Main Business
Table 85. NeevaAI Latest Developments
Table 86. Qubit Details, Company Type, AI-based Recommendation Engine Area Served and Its Competitors
Table 87. Qubit AI-based Recommendation Engine Product Offered
Table 88. Qubit AI-based Recommendation Engine Revenue ($ million), Gross Margin and Market Share (2019-2024)
Table 89. Qubit Main Business
Table 90. Qubit Latest Developments
Table 91. Dynamic Yield Details, Company Type, AI-based Recommendation Engine Area Served and Its Competitors
Table 92. Dynamic Yield AI-based Recommendation Engine Product Offered
Table 93. Dynamic Yield AI-based Recommendation Engine Revenue ($ million), Gross Margin and Market Share (2019-2024)
Table 94. Dynamic Yield Main Business
Table 95. Dynamic Yield Latest Developments



LIST OF FIGURES

Figure 1. AI-based Recommendation Engine Report Years Considered
Figure 2. Research Objectives
Figure 3. Research Methodology
Figure 4. Research Process and Data Source
Figure 5. Global AI-based Recommendation Engine Market Size Growth Rate 2019-2030 ($ millions)
Figure 6. AI-based Recommendation Engine Sales by Geographic Region (2019, 2023 & 2030) & ($ millions)
Figure 7. AI-based Recommendation Engine Sales Market Share by Country/Region (2023)
Figure 8. AI-based Recommendation Engine Sales Market Share by Country/Region (2019, 2023 & 2030)
Figure 9. Global AI-based Recommendation Engine Market Size Market Share by Type in 2023
Figure 10. AI-based Recommendation Engine in E-commerce Platform
Figure 11. Global AI-based Recommendation Engine Market: E-commerce Platform (2019-2024) & ($ millions)
Figure 12. AI-based Recommendation Engine in Finance
Figure 13. Global AI-based Recommendation Engine Market: Finance (2019-2024) & ($ millions)
Figure 14. AI-based Recommendation Engine in Social Media
Figure 15. Global AI-based Recommendation Engine Market: Social Media (2019-2024) & ($ millions)
Figure 16. AI-based Recommendation Engine in Others
Figure 17. Global AI-based Recommendation Engine Market: Others (2019-2024) & ($ millions)
Figure 18. Global AI-based Recommendation Engine Market Size Market Share by Application in 2023
Figure 19. Global AI-based Recommendation Engine Revenue Market Share by Player in 2023
Figure 20. Global AI-based Recommendation Engine Market Size Market Share by Region (2019-2024)
Figure 21. Americas AI-based Recommendation Engine Market Size 2019-2024 ($ millions)
Figure 22. APAC AI-based Recommendation Engine Market Size 2019-2024 ($ millions)
Figure 23. Europe AI-based Recommendation Engine Market Size 2019-2024 ($ millions)
Figure 24. Middle East & Africa AI-based Recommendation Engine Market Size 2019-2024 ($ millions)
Figure 25. Americas AI-based Recommendation Engine Value Market Share by Country in 2023
Figure 26. United States AI-based Recommendation Engine Market Size Growth 2019-2024 ($ millions)
Figure 27. Canada AI-based Recommendation Engine Market Size Growth 2019-2024 ($ millions)
Figure 28. Mexico AI-based Recommendation Engine Market Size Growth 2019-2024 ($ millions)
Figure 29. Brazil AI-based Recommendation Engine Market Size Growth 2019-2024 ($ millions)
Figure 30. APAC AI-based Recommendation Engine Market Size Market Share by Region in 2023
Figure 31. APAC AI-based Recommendation Engine Market Size Market Share by Type (2019-2024)
Figure 32. APAC AI-based Recommendation Engine Market Size Market Share by Application (2019-2024)
Figure 33. China AI-based Recommendation Engine Market Size Growth 2019-2024 ($ millions)
Figure 34. Japan AI-based Recommendation Engine Market Size Growth 2019-2024 ($ millions)
Figure 35. South Korea AI-based Recommendation Engine Market Size Growth 2019-2024 ($ millions)
Figure 36. Southeast Asia AI-based Recommendation Engine Market Size Growth 2019-2024 ($ millions)
Figure 37. India AI-based Recommendation Engine Market Size Growth 2019-2024 ($ millions)
Figure 38. Australia AI-based Recommendation Engine Market Size Growth 2019-2024 ($ millions)
Figure 39. Europe AI-based Recommendation Engine Market Size Market Share by Country in 2023
Figure 40. Europe AI-based Recommendation Engine Market Size Market Share by Type (2019-2024)
Figure 41. Europe AI-based Recommendation Engine Market Size Market Share by Application (2019-2024)
Figure 42. Germany AI-based Recommendation Engine Market Size Growth 2019-2024 ($ millions)
Figure 43. France AI-based Recommendation Engine Market Size Growth 2019-2024 ($ millions)
Figure 44. UK AI-based Recommendation Engine Market Size Growth 2019-2024 ($ millions)
Figure 45. Italy AI-based Recommendation Engine Market Size Growth 2019-2024 ($ millions)
Figure 46. Russia AI-based Recommendation Engine Market Size Growth 2019-2024 ($ millions)
Figure 47. Middle East & Africa AI-based Recommendation Engine Market Size Market Share by Region (2019-2024)
Figure 48. Middle East & Africa AI-based Recommendation Engine Market Size Market Share by Type (2019-2024)
Figure 49. Middle East & Africa AI-based Recommendation Engine Market Size Market Share by Application (2019-2024)
Figure 50. Egypt AI-based Recommendation Engine Market Size Growth 2019-2024 ($ millions)
Figure 51. South Africa AI-based Recommendation Engine Market Size Growth 2019-2024 ($ millions)
Figure 52. Israel AI-based Recommendation Engine Market Size Growth 2019-2024 ($ millions)
Figure 53. Turkey AI-based Recommendation Engine Market Size Growth 2019-2024 ($ millions)
Figure 54. GCC Countries AI-based Recommendation Engine Market Size Growth 2019-2024 ($ millions)
Figure 55. Americas AI-based Recommendation Engine Market Size 2025-2030 ($ millions)
Figure 56. APAC AI-based Recommendation Engine Market Size 2025-2030 ($ millions)
Figure 57. Europe AI-based Recommendation Engine Market Size 2025-2030 ($ millions)
Figure 58. Middle East & Africa AI-based Recommendation Engine Market Size 2025-2030 ($ millions)
Figure 59. United States AI-based Recommendation Engine Market Size 2025-2030 ($ millions)
Figure 60. Canada AI-based Recommendation Engine Market Size 2025-2030 ($ millions)
Figure 61. Mexico AI-based Recommendation Engine Market Size 2025-2030 ($ millions)
Figure 62. Brazil AI-based Recommendation Engine Market Size 2025-2030 ($ millions)
Figure 63. China AI-based Recommendation Engine Market Size 2025-2030 ($ millions)
Figure 64. Japan AI-based Recommendation Engine Market Size 2025-2030 ($ millions)
Figure 65. Korea AI-based Recommendation Engine Market Size 2025-2030 ($ millions)
Figure 66. Southeast Asia AI-based Recommendation Engine Market Size 2025-2030 ($ millions)
Figure 67. India AI-based Recommendation Engine Market Size 2025-2030 ($ millions)
Figure 68. Australia AI-based Recommendation Engine Market Size 2025-2030 ($ millions)
Figure 69. Germany AI-based Recommendation Engine Market Size 2025-2030 ($ millions)
Figure 70. France AI-based Recommendation Engine Market Size 2025-2030 ($ millions)
Figure 71. UK AI-based Recommendation Engine Market Size 2025-2030 ($ millions)
Figure 72. Italy AI-based Recommendation Engine Market Size 2025-2030 ($ millions)
Figure 73. Russia AI-based Recommendation Engine Market Size 2025-2030 ($ millions)
Figure 74. Egypt AI-based Recommendation Engine Market Size 2025-2030 ($ millions)
Figure 75. South Africa AI-based Recommendation Engine Market Size 2025-2030 ($ millions)
Figure 76. Israel AI-based Recommendation Engine Market Size 2025-2030 ($ millions)
Figure 77. Turkey AI-based Recommendation Engine Market Size 2025-2030 ($ millions)
Figure 78. GCC Countries AI-based Recommendation Engine Market Size 2025-2030 ($ millions)
Figure 79. Global AI-based Recommendation Engine Market Size Market Share Forecast by Type (2025-2030)
Figure 80. Global AI-based Recommendation Engine Market Size Market Share Forecast by Application (2025-2030)


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