レコメンデーションエンジンの世界市場（～2026年）

• 英文タイトル：Global Recommendation Engine Market Size, Status and Forecast 2020-2026

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レポート概要

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当調査資料はレコメンデーションエンジンのグローバル市場について調査・分析したレポートです。種類別（協調フィルタリング、コンテンツベースフィルタリング、ハイブリッドレコメンデーション）市場規模、用途別（製造業、医療、金融、メディア・エンターテインメント、運輸、その他）市場規模、地域別（北米、米国、カナダ、ヨーロッパ、ドイツ、フランス、イギリス、イタリア、ロシア、アジア、日本、中国、韓国、インド、オーストラリア、台湾、中南米、メキシコ、ブラジル、アルゼンチン、中東・アフリカ、トルコ、サウジアラビア、UAE等）市場規模データ、主な企業情報と企業別市場シェア等が収録されています。 ・調査範囲 ・エグゼクティブサマリー ・企業別レコメンデーションエンジンの競争状況、市場シェア ・世界のレコメンデーションエンジン市場：種類別市場規模 2015年-2020年（協調フィルタリング、コンテンツベースフィルタリング、ハイブリッドレコメンデーション） ・世界のレコメンデーションエンジン市場：種類別市場規模予測 2021年-2026年（協調フィルタリング、コンテンツベースフィルタリング、ハイブリッドレコメンデーション） ・世界のレコメンデーションエンジン市場：用途別市場規模 2015年-2020年（製造業、医療、金融、メディア・エンターテインメント、運輸、その他） ・世界のレコメンデーションエンジン市場：用途別市場規模予測 2021年-2026年（製造業、医療、金融、メディア・エンターテインメント、運輸、その他） ・北米のレコメンデーションエンジン市場分析：米国、カナダ ・ヨーロッパのレコメンデーションエンジン市場分析：ドイツ、フランス、イギリス、イタリア、ロシア等 ・アジアのレコメンデーションエンジン市場分析：日本、中国、韓国、インド、オーストラリア、台湾等 ・中南米のレコメンデーションエンジン市場分析：メキシコ、ブラジル、アルゼンチン等 ・中東・アフリカのレコメンデーションエンジン市場分析：トルコ、サウジアラビア、UAE等 ・企業情報（企業概要、製品概要、販売量、企業動向） - 掲載企業（変更可能性あり）：IBM、Google、AWS、Microsoft、Salesforce、Sentient Technologies、HPE、Oracle、Intel、SAP、Fuzzy.AI、Infinite Analytics ・地域別市場規模予測（2021年-2026年）：北米市場、ヨーロッパ市場、アジア市場、中南米市場、中東・アフリカ市場 ・市場機会、課題、リスク、環境分析 ・バリューチェーン、販売チャネル分析 ・調査の結論

Market Analysis and Insights: Global Recommendation Engine Market
The global Recommendation Engine market size is projected to reach US$ XX million by 2026, from US$ XX million in 2020, at a CAGR of XX%% during 2021-2026.

Global Recommendation Engine Scope and Market Size
Recommendation Engine market is segmented by Type, and by Application. Players, stakeholders, and other participants in the global Recommendation Engine market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2015-2026.

The key players covered in this study
IBM
Google
AWS
Microsoft
Salesforce
Sentient Technologies
HPE
Oracle
Intel
SAP
Fuzzy.AI
Infinite Analytics

Market segment by Type, the product can be split into
Collaborative Filtering
Content-based Filtering
Hybrid Recommendation
Market segment by Application, split into
Manufacturing
Healthcare
BFSI
Media and entertainment
Transportation
Others

Market segment by Regions/Countries, this report covers
North America
Europe
China
Japan
Southeast Asia
India

レポート目次

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1 Report Overview
1.1 Study Scope
1.2 Key Market Segments
1.3 Players Covered: Ranking by Recommendation Engine Revenue
1.4 Market by Type
1.4.1 Global Recommendation Engine Market Size Growth Rate by Type: 2020 VS 2026
1.4.2 Collaborative Filtering
1.4.3 Content-based Filtering
1.4.4 Hybrid Recommendation
1.5 Market by Application
1.5.1 Global Recommendation Engine Market Share by Application: 2020 VS 2026
1.5.2 Manufacturing
1.5.3 Healthcare
1.5.4 BFSI
1.5.5 Media and entertainment
1.5.6 Transportation
1.5.7 Others
1.6 Study Objectives
1.7 Years Considered

2 Global Growth Trends
2.1 Global Recommendation Engine Market Perspective (2015-2026)
2.2 Global Recommendation Engine Growth Trends by Regions
2.2.1 Recommendation Engine Market Size by Regions: 2015 VS 2020 VS 2026
2.2.2 Recommendation Engine Historic Market Share by Regions (2015-2020)
2.2.3 Recommendation Engine Forecasted Market Size by Regions (2021-2026)
2.3 Industry Trends and Growth Strategy
2.3.1 Market Top Trends
2.3.2 Market Drivers
2.3.3 Market Challenges
2.3.4 Porter’s Five Forces Analysis
2.3.5 Recommendation Engine Market Growth Strategy
2.3.6 Primary Interviews with Key Recommendation Engine Players (Opinion Leaders)

3 Competition Landscape by Key Players
3.1 Global Top Recommendation Engine Players by Market Size
3.1.1 Global Top Recommendation Engine Players by Revenue (2015-2020)
3.1.2 Global Recommendation Engine Revenue Market Share by Players (2015-2020)
3.1.3 Global Recommendation Engine Market Share by Company Type (Tier 1, Tier 2 and Tier 3)
3.2 Global Recommendation Engine Market Concentration Ratio
3.2.1 Global Recommendation Engine Market Concentration Ratio (CR5 and HHI)
3.2.2 Global Top 10 and Top 5 Companies by Recommendation Engine Revenue in 2019
3.3 Recommendation Engine Key Players Head office and Area Served
3.4 Key Players Recommendation Engine Product Solution and Service
3.5 Date of Enter into Recommendation Engine Market
3.6 Mergers & Acquisitions, Expansion Plans

4 Market Size by Type (2015-2026)
4.1 Global Recommendation Engine Historic Market Size by Type (2015-2020)
4.2 Global Recommendation Engine Forecasted Market Size by Type (2021-2026)

5 Market Size by Application (2015-2026)
5.1 Global Recommendation Engine Market Size by Application (2015-2020)
5.2 Global Recommendation Engine Forecasted Market Size by Application (2021-2026)

6 North America
6.1 North America Recommendation Engine Market Size (2015-2020)
6.2 Recommendation Engine Key Players in North America (2019-2020)
6.3 North America Recommendation Engine Market Size by Type (2015-2020)
6.4 North America Recommendation Engine Market Size by Application (2015-2020)

7 Europe
7.1 Europe Recommendation Engine Market Size (2015-2020)
7.2 Recommendation Engine Key Players in Europe (2019-2020)
7.3 Europe Recommendation Engine Market Size by Type (2015-2020)
7.4 Europe Recommendation Engine Market Size by Application (2015-2020)

8 China
8.1 China Recommendation Engine Market Size (2015-2020)
8.2 Recommendation Engine Key Players in China (2019-2020)
8.3 China Recommendation Engine Market Size by Type (2015-2020)
8.4 China Recommendation Engine Market Size by Application (2015-2020)

9 Japan
9.1 Japan Recommendation Engine Market Size (2015-2020)
9.2 Recommendation Engine Key Players in Japan (2019-2020)
9.3 Japan Recommendation Engine Market Size by Type (2015-2020)
9.4 Japan Recommendation Engine Market Size by Application (2015-2020)

10 Southeast Asia
10.1 Southeast Asia Recommendation Engine Market Size (2015-2020)
10.2 Recommendation Engine Key Players in Southeast Asia (2019-2020)
10.3 Southeast Asia Recommendation Engine Market Size by Type (2015-2020)
10.4 Southeast Asia Recommendation Engine Market Size by Application (2015-2020)

11 India
11.1 India Recommendation Engine Market Size (2015-2020)
11.2 Recommendation Engine Key Players in India (2019-2020)
11.3 India Recommendation Engine Market Size by Type (2015-2020)
11.4 India Recommendation Engine Market Size by Application (2015-2020)

12 Central & South America
12.1 Central & South America Recommendation Engine Market Size (2015-2020)
12.2 Recommendation Engine Key Players in Central & South America (2019-2020)
12.3 Central & South America Recommendation Engine Market Size by Type (2015-2020)
12.4 Central & South America Recommendation Engine Market Size by Application (2015-2020)

13 Key Players Profiles
13.1 IBM
13.1.1 IBM Company Details
13.1.2 IBM Business Overview
13.1.3 IBM Recommendation Engine Introduction
13.1.4 IBM Revenue in Recommendation Engine Business (2015-2020))
13.1.5 IBM Recent Development
13.2 Google
13.2.1 Google Company Details
13.2.2 Google Business Overview
13.2.3 Google Recommendation Engine Introduction
13.2.4 Google Revenue in Recommendation Engine Business (2015-2020)
13.2.5 Google Recent Development
13.3 AWS
13.3.1 AWS Company Details
13.3.2 AWS Business Overview
13.3.3 AWS Recommendation Engine Introduction
13.3.4 AWS Revenue in Recommendation Engine Business (2015-2020)
13.3.5 AWS Recent Development
13.4 Microsoft
13.4.1 Microsoft Company Details
13.4.2 Microsoft Business Overview
13.4.3 Microsoft Recommendation Engine Introduction
13.4.4 Microsoft Revenue in Recommendation Engine Business (2015-2020)
13.4.5 Microsoft Recent Development
13.5 Salesforce
13.5.1 Salesforce Company Details
13.5.2 Salesforce Business Overview
13.5.3 Salesforce Recommendation Engine Introduction
13.5.4 Salesforce Revenue in Recommendation Engine Business (2015-2020)
13.5.5 Salesforce Recent Development
13.6 Sentient Technologies
13.6.1 Sentient Technologies Company Details
13.6.2 Sentient Technologies Business Overview
13.6.3 Sentient Technologies Recommendation Engine Introduction
13.6.4 Sentient Technologies Revenue in Recommendation Engine Business (2015-2020)
13.6.5 Sentient Technologies Recent Development
13.7 HPE
13.7.1 HPE Company Details
13.7.2 HPE Business Overview
13.7.3 HPE Recommendation Engine Introduction
13.7.4 HPE Revenue in Recommendation Engine Business (2015-2020)
13.7.5 HPE Recent Development
13.8 Oracle
13.8.1 Oracle Company Details
13.8.2 Oracle Business Overview
13.8.3 Oracle Recommendation Engine Introduction
13.8.4 Oracle Revenue in Recommendation Engine Business (2015-2020)
13.8.5 Oracle Recent Development
13.9 Intel
13.9.1 Intel Company Details
13.9.2 Intel Business Overview
13.9.3 Intel Recommendation Engine Introduction
13.9.4 Intel Revenue in Recommendation Engine Business (2015-2020)
13.9.5 Intel Recent Development
13.10 SAP
13.10.1 SAP Company Details
13.10.2 SAP Business Overview
13.10.3 SAP Recommendation Engine Introduction
13.10.4 SAP Revenue in Recommendation Engine Business (2015-2020)
13.10.5 SAP Recent Development
13.11 Fuzzy.AI
10.11.1 Fuzzy.AI Company Details
10.11.2 Fuzzy.AI Business Overview
10.11.3 Fuzzy.AI Recommendation Engine Introduction
10.11.4 Fuzzy.AI Revenue in Recommendation Engine Business (2015-2020)
10.11.5 Fuzzy.AI Recent Development
13.12 Infinite Analytics
10.12.1 Infinite Analytics Company Details
10.12.2 Infinite Analytics Business Overview
10.12.3 Infinite Analytics Recommendation Engine Introduction
10.12.4 Infinite Analytics Revenue in Recommendation Engine Business (2015-2020)
10.12.5 Infinite Analytics Recent Development

14 Analyst’s Viewpoints/Conclusions

15 Appendix
15.1 Research Methodology
15.1.1 Methodology/Research Approach
15.1.2 Data Source
15.2 Disclaimer
15.3 Author Details

List of Tables
Table 1. Recommendation Engine Key Market Segments
Table 2. Key Players Covered: Ranking by Recommendation Engine Revenue
Table 3. Ranking of Global Top Recommendation Engine Manufacturers by Revenue (US$ Million) in 2019
Table 4. Global Recommendation Engine Market Size Growth Rate by Type (US$ Million): 2020 VS 2026
Table 5. Key Players of Collaborative Filtering
Table 6. Key Players of Content-based Filtering
Table 7. Key Players of Hybrid Recommendation
Table 8. Global Recommendation Engine Market Size Growth by Application (US$ Million): 2020 VS 2026
Table 9. Global Recommendation Engine Market Size by Regions (US$ Million): 2020 VS 2026
Table 10. Global Recommendation Engine Market Size by Regions (2015-2020) (US$ Million)
Table 11. Global Recommendation Engine Market Share by Regions (2015-2020)
Table 12. Global Recommendation Engine Forecasted Market Size by Regions (2021-2026) (US$ Million)
Table 13. Global Recommendation Engine Market Share by Regions (2021-2026)
Table 14. Market Top Trends
Table 15. Key Drivers: Impact Analysis
Table 16. Key Challenges
Table 17. Recommendation Engine Market Growth Strategy
Table 18. Main Points Interviewed from Key Recommendation Engine Players
Table 19. Global Recommendation Engine Revenue by Players (2015-2020) (Million US$)
Table 20. Global Recommendation Engine Market Share by Players (2015-2020)
Table 21. Global Top Recommendation Engine Players by Company Type (Tier 1, Tier 2 and Tier 3) (based on the Revenue in Recommendation Engine as of 2019)
Table 22. Global Recommendation Engine by Players Market Concentration Ratio (CR5 and HHI)
Table 23. Key Players Headquarters and Area Served
Table 24. Key Players Recommendation Engine Product Solution and Service
Table 25. Date of Enter into Recommendation Engine Market
Table 26. Mergers & Acquisitions, Expansion Plans
Table 27. Global Recommendation Engine Market Size by Type (2015-2020) (Million US$)
Table 28. Global Recommendation Engine Market Size Share by Type (2015-2020)
Table 29. Global Recommendation Engine Revenue Market Share by Type (2021-2026)
Table 30. Global Recommendation Engine Market Size Share by Application (2015-2020)
Table 31. Global Recommendation Engine Market Size by Application (2015-2020) (Million US$)
Table 32. Global Recommendation Engine Market Size Share by Application (2021-2026)
Table 33. North America Key Players Recommendation Engine Revenue (2019-2020) (Million US$)
Table 34. North America Key Players Recommendation Engine Market Share (2019-2020)
Table 35. North America Recommendation Engine Market Size by Type (2015-2020) (Million US$)
Table 36. North America Recommendation Engine Market Share by Type (2015-2020)
Table 37. North America Recommendation Engine Market Size by Application (2015-2020) (Million US$)
Table 38. North America Recommendation Engine Market Share by Application (2015-2020)
Table 39. Europe Key Players Recommendation Engine Revenue (2019-2020) (Million US$)
Table 40. Europe Key Players Recommendation Engine Market Share (2019-2020)
Table 41. Europe Recommendation Engine Market Size by Type (2015-2020) (Million US$)
Table 42. Europe Recommendation Engine Market Share by Type (2015-2020)
Table 43. Europe Recommendation Engine Market Size by Application (2015-2020) (Million US$)
Table 44. Europe Recommendation Engine Market Share by Application (2015-2020)
Table 45. China Key Players Recommendation Engine Revenue (2019-2020) (Million US$)
Table 46. China Key Players Recommendation Engine Market Share (2019-2020)
Table 47. China Recommendation Engine Market Size by Type (2015-2020) (Million US$)
Table 48. China Recommendation Engine Market Share by Type (2015-2020)
Table 49. China Recommendation Engine Market Size by Application (2015-2020) (Million US$)
Table 50. China Recommendation Engine Market Share by Application (2015-2020)
Table 51. Japan Key Players Recommendation Engine Revenue (2019-2020) (Million US$)
Table 52. Japan Key Players Recommendation Engine Market Share (2019-2020)
Table 53. Japan Recommendation Engine Market Size by Type (2015-2020) (Million US$)
Table 54. Japan Recommendation Engine Market Share by Type (2015-2020)
Table 55. Japan Recommendation Engine Market Size by Application (2015-2020) (Million US$)
Table 56. Japan Recommendation Engine Market Share by Application (2015-2020)
Table 57. Southeast Asia Key Players Recommendation Engine Revenue (2019-2020) (Million US$)
Table 58. Southeast Asia Key Players Recommendation Engine Market Share (2019-2020)
Table 59. Southeast Asia Recommendation Engine Market Size by Type (2015-2020) (Million US$)
Table 60. Southeast Asia Recommendation Engine Market Share by Type (2015-2020)
Table 61. Southeast Asia Recommendation Engine Market Size by Application (2015-2020) (Million US$)
Table 62. Southeast Asia Recommendation Engine Market Share by Application (2015-2020)
Table 63. India Key Players Recommendation Engine Revenue (2019-2020) (Million US$)
Table 64. India Key Players Recommendation Engine Market Share (2019-2020)
Table 65. India Recommendation Engine Market Size by Type (2015-2020) (Million US$)
Table 66. India Recommendation Engine Market Share by Type (2015-2020)
Table 67. India Recommendation Engine Market Size by Application (2015-2020) (Million US$)
Table 68. India Recommendation Engine Market Share by Application (2015-2020)
Table 69. Central & South America Key Players Recommendation Engine Revenue (2019-2020) (Million US$)
Table 70. Central & South America Key Players Recommendation Engine Market Share (2019-2020)
Table 71. Central & South America Recommendation Engine Market Size by Type (2015-2020) (Million US$)
Table 72. Central & South America Recommendation Engine Market Share by Type (2015-2020)
Table 73. Central & South America Recommendation Engine Market Size by Application (2015-2020) (Million US$)
Table 74. Central & South America Recommendation Engine Market Share by Application (2015-2020)
Table 75. IBM Company Details
Table 76. IBM Business Overview
Table 77. IBM Product
Table 78. IBM Revenue in Recommendation Engine Business (2015-2020) (Million US$)
Table 79. IBM Recent Development
Table 80. Google Company Details
Table 81. Google Business Overview
Table 82. Google Product
Table 83. Google Revenue in Recommendation Engine Business (2015-2020) (Million US$)
Table 84. Google Recent Development
Table 85. AWS Company Details
Table 86. AWS Business Overview
Table 87. AWS Product
Table 88. AWS Revenue in Recommendation Engine Business (2015-2020) (Million US$)
Table 89. AWS Recent Development
Table 90. Microsoft Company Details
Table 91. Microsoft Business Overview
Table 92. Microsoft Product
Table 93. Microsoft Revenue in Recommendation Engine Business (2015-2020) (Million US$)
Table 94. Microsoft Recent Development
Table 95. Salesforce Company Details
Table 96. Salesforce Business Overview
Table 97. Salesforce Product
Table 98. Salesforce Revenue in Recommendation Engine Business (2015-2020) (Million US$)
Table 99. Salesforce Recent Development
Table 100. Sentient Technologies Company Details
Table 101. Sentient Technologies Business Overview
Table 102. Sentient Technologies Product
Table 103. Sentient Technologies Revenue in Recommendation Engine Business (2015-2020) (Million US$)
Table 104. Sentient Technologies Recent Development
Table 105. HPE Company Details
Table 106. HPE Business Overview
Table 107. HPE Product
Table 108. HPE Revenue in Recommendation Engine Business (2015-2020) (Million US$)
Table 109. HPE Recent Development
Table 110. Oracle Business Overview
Table 111. Oracle Product
Table 112. Oracle Company Details
Table 113. Oracle Revenue in Recommendation Engine Business (2015-2020) (Million US$)
Table 114. Oracle Recent Development
Table 115. Intel Company Details
Table 116. Intel Business Overview
Table 117. Intel Product
Table 118. Intel Revenue in Recommendation Engine Business (2015-2020) (Million US$)
Table 119. Intel Recent Development
Table 120. SAP Company Details
Table 121. SAP Business Overview
Table 122. SAP Product
Table 123. SAP Revenue in Recommendation Engine Business (2015-2020) (Million US$)
Table 124. SAP Recent Development
Table 125. Fuzzy.AI Company Details
Table 126. Fuzzy.AI Business Overview
Table 127. Fuzzy.AI Product
Table 128. Fuzzy.AI Revenue in Recommendation Engine Business (2015-2020) (Million US$)
Table 129. Fuzzy.AI Recent Development
Table 130. Infinite Analytics Company Details
Table 131. Infinite Analytics Business Overview
Table 132. Infinite Analytics Product
Table 133. Infinite Analytics Revenue in Recommendation Engine Business (2015-2020) (Million US$)
Table 134. Infinite Analytics Recent Development
Table 135. Research Programs/Design for This Report
Table 136. Key Data Information from Secondary Sources
Table 137. Key Data Information from Primary Sources
List of Figures
Figure 1. Global Recommendation Engine Market Share by Type: 2020 VS 2026
Figure 2. Collaborative Filtering Features
Figure 3. Content-based Filtering Features
Figure 4. Hybrid Recommendation Features
Figure 5. Global Recommendation Engine Market Share by Application: 2020 VS 2026
Figure 6. Manufacturing Case Studies
Figure 7. Healthcare Case Studies
Figure 8. BFSI Case Studies
Figure 9. Media and entertainment Case Studies
Figure 10. Transportation Case Studies
Figure 11. Others Case Studies
Figure 12. Recommendation Engine Report Years Considered
Figure 13. Global Recommendation Engine Market Size YoY Growth 2015-2026 (US$ Million)
Figure 14. Global Recommendation Engine Market Share by Regions: 2020 VS 2026
Figure 15. Global Recommendation Engine Market Share by Regions (2021-2026)
Figure 16. Porter's Five Forces Analysis
Figure 17. Global Recommendation Engine Market Share by Players in 2019
Figure 18. Global Top Recommendation Engine Players by Company Type (Tier 1, Tier 2 and Tier 3) (based on the Revenue in Recommendation Engine as of 2019
Figure 19. The Top 10 and 5 Players Market Share by Recommendation Engine Revenue in 2019
Figure 20. North America Recommendation Engine Market Size YoY Growth (2015-2020) (Million US$)
Figure 21. Europe Recommendation Engine Market Size YoY Growth (2015-2020) (Million US$)
Figure 22. China Recommendation Engine Market Size YoY Growth (2015-2020) (Million US$)
Figure 23. Japan Recommendation Engine Market Size YoY Growth (2015-2020) (Million US$)
Figure 24. Southeast Asia Recommendation Engine Market Size YoY Growth (2015-2020) (Million US$)
Figure 25. India Recommendation Engine Market Size YoY Growth (2015-2020) (Million US$)
Figure 26. Central & South America Recommendation Engine Market Size YoY Growth (2015-2020) (Million US$)
Figure 27. Bottom-up and Top-down Approaches for This Report
Figure 28. Data Triangulation
Figure 29. Key Executives Interviewed

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