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Synopsis
Global Recommendation Engine market is projected to reach US$ 16620 million in 2029, increasing from US$ 2138.3 million in 2022, with the CAGR of 33.4% during the period of 2023 to 2029. Influencing issues, such as economy environments, COVID-19 and Russia-Ukraine War, have led to great market fluctuations in the past few years and are considered comprehensively in the whole Recommendation Engine market research.
Key companies engaged in the Recommendation Engine industry include IBM, Google, AWS, Microsoft, Salesforce, Sentient Technologies, HPE, Oracle and Intel, etc. Among those companies, the top 3 players guaranteed % supply worldwide in 2022.
When refers to consumption region, % value of Recommendation Engine were sold to North America, Europe and Asia Pacific in 2022. Moreover, China, plays a key role in the whole Recommendation Engine market and estimated to attract more attentions from industry insiders and investors.
Report Scope
This report, based on historical analysis (2018-2022) and forecast calculation (2023-2029), aims to help readers to get a comprehensive understanding of global Recommendation Engine market with multiple angles, which provides sufficient supports to readers’ strategy and decision making.
By Company
Segment by Type
Segment by Application
By Region
The Recommendation Engine report covers below items:
Chapter 1: Product Basic Information (Definition, Type and Application)
Chapter 2: Global market size, regional market size. Market Opportunities and Challenges
Chapter 3: Companies’ Competition Patterns
Chapter 4: Product Type Analysis
Chapter 5: Product Application Analysis
Chapter 6 to 10: Country Level Value Analysis
Chapter 11: Companies' Outline
Chapter 12: Market Conclusions
Chapter 13: Research Methodology and Data Source
Index
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Recommendation Engine Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
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 Recommendation Engine Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Manufacturing
1.3.3 Healthcare
1.3.4 BFSI
1.3.5 Media and entertainment
1.3.6 Transportation
1.3.7 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Recommendation Engine Market Perspective (2018-2029)
2.2 Recommendation Engine Growth Trends by Region
2.2.1 Global Recommendation Engine Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Recommendation Engine Historic Market Size by Region (2018-2023)
2.2.3 Recommendation Engine Forecasted Market Size by Region (2024-2029)
2.3 Recommendation Engine Market Dynamics
2.3.1 Recommendation Engine Industry Trends
2.3.2 Recommendation Engine Market Drivers
2.3.3 Recommendation Engine Market Challenges
2.3.4 Recommendation Engine Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Recommendation Engine Players by Revenue
3.1.1 Global Top Recommendation Engine Players by Revenue (2018-2023)
3.1.2 Global Recommendation Engine Revenue Market Share by Players (2018-2023)
3.2 Global Recommendation Engine Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Recommendation Engine Revenue
3.4 Global Recommendation Engine Market Concentration Ratio
3.4.1 Global Recommendation Engine Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Recommendation Engine Revenue in 2022
3.5 Recommendation Engine Key Players Head office and Area Served
3.6 Key Players Recommendation Engine Product Solution and Service
3.7 Date of Enter into Recommendation Engine Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Recommendation Engine Breakdown Data by Type
4.1 Global Recommendation Engine Historic Market Size by Type (2018-2023)
4.2 Global Recommendation Engine Forecasted Market Size by Type (2024-2029)
5 Recommendation Engine Breakdown Data by Application
5.1 Global Recommendation Engine Historic Market Size by Application (2018-2023)
5.2 Global Recommendation Engine Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Recommendation Engine Market Size (2018-2029)
6.2 North America Recommendation Engine Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Recommendation Engine Market Size by Country (2018-2023)
6.4 North America Recommendation Engine Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Recommendation Engine Market Size (2018-2029)
7.2 Europe Recommendation Engine Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Recommendation Engine Market Size by Country (2018-2023)
7.4 Europe Recommendation Engine Market Size by Country (2024-2029)
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 Recommendation Engine Market Size (2018-2029)
8.2 Asia-Pacific Recommendation Engine Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Recommendation Engine Market Size by Region (2018-2023)
8.4 Asia-Pacific Recommendation Engine Market Size by Region (2024-2029)
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 Recommendation Engine Market Size (2018-2029)
9.2 Latin America Recommendation Engine Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Recommendation Engine Market Size by Country (2018-2023)
9.4 Latin America Recommendation Engine Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Recommendation Engine Market Size (2018-2029)
10.2 Middle East & Africa Recommendation Engine Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Recommendation Engine Market Size by Country (2018-2023)
10.4 Middle East & Africa Recommendation Engine Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IBM
11.1.1 IBM Company Detail
11.1.2 IBM Business Overview
11.1.3 IBM Recommendation Engine Introduction
11.1.4 IBM Revenue in Recommendation Engine Business (2018-2023)
11.1.5 IBM Recent Development
11.2 Google
11.2.1 Google Company Detail
11.2.2 Google Business Overview
11.2.3 Google Recommendation Engine Introduction
11.2.4 Google Revenue in Recommendation Engine Business (2018-2023)
11.2.5 Google Recent Development
11.3 AWS
11.3.1 AWS Company Detail
11.3.2 AWS Business Overview
11.3.3 AWS Recommendation Engine Introduction
11.3.4 AWS Revenue in Recommendation Engine Business (2018-2023)
11.3.5 AWS Recent Development
11.4 Microsoft
11.4.1 Microsoft Company Detail
11.4.2 Microsoft Business Overview
11.4.3 Microsoft Recommendation Engine Introduction
11.4.4 Microsoft Revenue in Recommendation Engine Business (2018-2023)
11.4.5 Microsoft Recent Development
11.5 Salesforce
11.5.1 Salesforce Company Detail
11.5.2 Salesforce Business Overview
11.5.3 Salesforce Recommendation Engine Introduction
11.5.4 Salesforce Revenue in Recommendation Engine Business (2018-2023)
11.5.5 Salesforce Recent Development
11.6 Sentient Technologies
11.6.1 Sentient Technologies Company Detail
11.6.2 Sentient Technologies Business Overview
11.6.3 Sentient Technologies Recommendation Engine Introduction
11.6.4 Sentient Technologies Revenue in Recommendation Engine Business (2018-2023)
11.6.5 Sentient Technologies Recent Development
11.7 HPE
11.7.1 HPE Company Detail
11.7.2 HPE Business Overview
11.7.3 HPE Recommendation Engine Introduction
11.7.4 HPE Revenue in Recommendation Engine Business (2018-2023)
11.7.5 HPE Recent Development
11.8 Oracle
11.8.1 Oracle Company Detail
11.8.2 Oracle Business Overview
11.8.3 Oracle Recommendation Engine Introduction
11.8.4 Oracle Revenue in Recommendation Engine Business (2018-2023)
11.8.5 Oracle Recent Development
11.9 Intel
11.9.1 Intel Company Detail
11.9.2 Intel Business Overview
11.9.3 Intel Recommendation Engine Introduction
11.9.4 Intel Revenue in Recommendation Engine Business (2018-2023)
11.9.5 Intel Recent Development
11.10 SAP
11.10.1 SAP Company Detail
11.10.2 SAP Business Overview
11.10.3 SAP Recommendation Engine Introduction
11.10.4 SAP Revenue in Recommendation Engine Business (2018-2023)
11.10.5 SAP Recent Development
11.11 Fuzzy.AI
11.11.1 Fuzzy.AI Company Detail
11.11.2 Fuzzy.AI Business Overview
11.11.3 Fuzzy.AI Recommendation Engine Introduction
11.11.4 Fuzzy.AI Revenue in Recommendation Engine Business (2018-2023)
11.11.5 Fuzzy.AI Recent Development
11.12 Infinite Analytics
11.12.1 Infinite Analytics Company Detail
11.12.2 Infinite Analytics Business Overview
11.12.3 Infinite Analytics Recommendation Engine Introduction
11.12.4 Infinite Analytics Revenue in Recommendation Engine Business (2018-2023)
11.12.5 Infinite Analytics Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Published By : QY Research