The Report named “Global Recommendation Engine Market” serves crucial perceptions into global Recommendation Engine industry along with newfangled industry details, currently dominating players in Recommendation Engine, chapter wise analysis of each section and looming industry trends, which will guide the readers to target Recommendation Engine market product Specifications and clients driving the long-term market revenue and profitability.
The Scope of the Recommendation Engine Market Report:
This report mainly focuses on Recommendation Engine industry in the global market. This report primarily covers Recommendation Engine market in North America, Recommendation Engine market in Europe, Recommendation Engine market in Middle East and Africa, Recommendation Engine Market in Latin America and Asia Pacific. This report segregates the Recommendation Engine market based on Type, Competitive Players, Regions and Application.
Recommendation Engine Market: Key Players/Manufacturers Analysis
IBM
Google
AWS
Microsoft
Salesforce
Sentient Technologies
HPE
Oracle
Intel
SAP
Recommendation Engine Market: Type Analysis
Collaborative filtering
Content-based filtering
Hybrid recommendation
Recommendation Engine Market: Applications Analysis
Manufacturing
Healthcare
BFSI
Mediaandentertainment
Transportation
Others
Recommendation Engine Market: Regional/Counties Analysis
The market is spread across the globe which not only includes Recommendation Engine market in Europe (Germany, France, Italy, Russia, and UK), Recommendation Engine market in North America (Canada, USA, and Mexico) but also Recommendation Engine market in Asia-Pacific(China, India, Korea and Japan). Now Recommendation Engine industry is also spread in the Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)and Rest of the World. Use of advanced technology is constraining the Recommendation Engine global market in North America. Europe will show a enormous elevation in the growth of global for Recommendation Engine industry due to increased use of Recommendation Engine in various fields. Asia Pacific countries such as China and India will show enormous growth in the Recommendation Engine global market due to rise in job opportunities.
Global Recommendation Engine market report also includes Recommendation Engine Market Business Overview. It also includes Recommendation Engine Market by Applications and Type, Recommendation Engine Revenue, Sales and Price and Recommendation Engine Business Share. This report of Recommendation Engine Market research also consists Global Recommendation Engine Market Competition, by Recommendation Engine market revenue of regions, sales and by Recommendation Engine industry competitive Players, (2015-2020).
Report on (2021 Recommendation Engine Market Report) mainly covers 15 Section and keenly display’s the global Recommendation Engine market:
Chapter 1 describes Recommendation Engine Introduction, product scope, Recommendation Engine market overview, market opportunities, market driving force, market risk;
Chapter 2 analyzes the top competitive players of global Recommendation Engine, with revenue, Recommendation Engine industry sales, and price of Recommendation Engine, in 2019 and 2020;
Chapter 3 displays the competitive situation of Recommendation Engine among the top competitive players, with sales, revenue and market share in Recommendation Engine Market in 2019 and 2020;
Chapter 4 shows the global Recommendation Engine market by regions, with market sales, revenue and share of Recommendation Engine, for each region, from 2016 to 2020;
Chapter 5, 6, 7, 8 and 9 analyzes the critical regions, with revenue, sales, and market share of Recommendation Engine market by key countries in these regions;
Chapter 10 and 11 shows the worldwide Recommendation Engine market by type and application, with sales channel, Recommendation Engine market share and growth rate by type, Recommendation Engine industry application, from 2016 to 2020;
Chapter 12 includes global Recommendation Engine market forecast, by regions, type and application, Recommendation Engine with sales and revenue, from 2021 to 2031;
Chapter 13, 14 and 15 describes Recommendation Engine distributors, dealers, Recommendation Engine traders, sales channel, research findings and conclusion, appendix and data source.
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Table of Contents
1 Recommendation Engine Market Overview
1.1 Product Overview and Scope of Recommendation Engine
1.2 Classification of Recommendation Engine by Types
1.2.1 Global Recommendation Engine Revenue Comparison by Types (2017-2023)
1.2.2 Global Recommendation Engine Revenue Market Share by Types in 2017
1.2.3 Collaborative filtering
1.2.4 Content-based filtering
1.2.5 Hybrid recommendation
1.3 Global Recommendation Engine Market by Application
1.3.1 Global Recommendation Engine Market Size and Market Share Comparison by Applications (2015-2031)
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 Global Recommendation Engine Market by Regions
1.4.1 Global Recommendation Engine Market Size (Million USD) Comparison by Regions (2015-2031)
1.4.1 North America (USA, Canada and Mexico) Recommendation Engine Status and Prospect (2015-2031)
1.4.2 Europe (Germany, France, UK, Russia and Italy) Recommendation Engine Status and Prospect (2015-2031)
1.4.3 Asia-Pacific (China, Japan, Korea, India and Southeast Asia) Recommendation Engine Status and Prospect (2015-2031)
1.4.4 South America (Brazil, Argentina, Colombia) Recommendation Engine Status and Prospect (2015-2031)
1.4.5 Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa) Recommendation Engine Status and Prospect (2015-2031)
1.5 Global Market Size of Recommendation Engine (2015-2031)
2 Manufacturers Profiles
2.1 IBM
2.1.1 Business Overview
2.1.2 Recommendation Engine Type and Applications
2.1.2.1 Product A
2.1.2.2 Product B
2.1.3 IBM Recommendation Engine Revenue, Gross Margin and Market Share (2019-2020)
2.2 Google
2.2.1 Business Overview
2.2.2 Recommendation Engine Type and Applications
2.2.2.1 Product A
2.2.2.2 Product B
2.2.3 Google Recommendation Engine Revenue, Gross Margin and Market Share (2019-2020)
2.3 AWS
2.3.1 Business Overview
2.3.2 Recommendation Engine Type and Applications
2.3.2.1 Product A
2.3.2.2 Product B
2.3.3 AWS Recommendation Engine Revenue, Gross Margin and Market Share (2019-2020)
2.4 Microsoft
2.4.1 Business Overview
2.4.2 Recommendation Engine Type and Applications
2.4.2.1 Product A
2.4.2.2 Product B
2.4.3 Microsoft Recommendation Engine Revenue, Gross Margin and Market Share (2019-2020)
2.5 Salesforce
2.5.1 Business Overview
2.5.2 Recommendation Engine Type and Applications
2.5.2.1 Product A
2.5.2.2 Product B
2.5.3 Salesforce Recommendation Engine Revenue, Gross Margin and Market Share (2019-2020)
2.6 Sentient Technologies
2.6.1 Business Overview
2.6.2 Recommendation Engine Type and Applications
2.6.2.1 Product A
2.6.2.2 Product B
2.6.3 Sentient Technologies Recommendation Engine Revenue, Gross Margin and Market Share (2019-2020)
2.7 HPE
2.7.1 Business Overview
2.7.2 Recommendation Engine Type and Applications
2.7.2.1 Product A
2.7.2.2 Product B
2.7.3 HPE Recommendation Engine Revenue, Gross Margin and Market Share (2019-2020)
2.8 Oracle
2.8.1 Business Overview
2.8.2 Recommendation Engine Type and Applications
2.8.2.1 Product A
2.8.2.2 Product B
2.8.3 Oracle Recommendation Engine Revenue, Gross Margin and Market Share (2019-2020)
2.9 Intel
2.9.1 Business Overview
2.9.2 Recommendation Engine Type and Applications
2.9.2.1 Product A
2.9.2.2 Product B
2.9.3 Intel Recommendation Engine Revenue, Gross Margin and Market Share (2019-2020)
2.10 SAP
2.10.1 Business Overview
2.10.2 Recommendation Engine Type and Applications
2.10.2.1 Product A
2.10.2.2 Product B
2.10.3 SAP Recommendation Engine Revenue, Gross Margin and Market Share (2019-2020)
3 Global Recommendation Engine Market Competition, by Players
3.1 Global Recommendation Engine Revenue and Share by Players (2015-2020)
3.2 Market Concentration Rate
3.2.1 Top 5 Recommendation Engine Players Market Share
3.2.2 Top 10 Recommendation Engine Players Market Share
3.3 Market Competition Trend
4 Global Recommendation Engine Market Size by Regions
4.1 Global Recommendation Engine Revenue and Market Share by Regions
4.2 North America Recommendation Engine Revenue and Growth Rate (2015-2020)
4.3 Europe Recommendation Engine Revenue and Growth Rate (2015-2020)
4.4 Asia-Pacific Recommendation Engine Revenue and Growth Rate (2015-2020)
4.5 South America Recommendation Engine Revenue and Growth Rate (2015-2020)
4.6 Middle East and Africa Recommendation Engine Revenue and Growth Rate (2015-2020)
5 North America Recommendation Engine Revenue by Countries
5.1 North America Recommendation Engine Revenue by Countries (2015-2020)
5.2 USA Recommendation Engine Revenue and Growth Rate (2015-2020)
5.3 Canada Recommendation Engine Revenue and Growth Rate (2015-2020)
5.4 Mexico Recommendation Engine Revenue and Growth Rate (2015-2020)
6 Europe Recommendation Engine Revenue by Countries
6.1 Europe Recommendation Engine Revenue by Countries (2015-2020)
6.2 Germany Recommendation Engine Revenue and Growth Rate (2015-2020)
6.3 UK Recommendation Engine Revenue and Growth Rate (2015-2020)
6.4 France Recommendation Engine Revenue and Growth Rate (2015-2020)
6.5 Russia Recommendation Engine Revenue and Growth Rate (2015-2020)
6.6 Italy Recommendation Engine Revenue and Growth Rate (2015-2020)
7 Asia-Pacific Recommendation Engine Revenue by Countries
7.1 Asia-Pacific Recommendation Engine Revenue by Countries (2015-2020)
7.2 China Recommendation Engine Revenue and Growth Rate (2015-2020)
7.3 Japan Recommendation Engine Revenue and Growth Rate (2015-2020)
7.4 Korea Recommendation Engine Revenue and Growth Rate (2015-2020)
7.5 India Recommendation Engine Revenue and Growth Rate (2015-2020)
7.6 Southeast Asia Recommendation Engine Revenue and Growth Rate (2015-2020)
8 South America Recommendation Engine Revenue by Countries
8.1 South America Recommendation Engine Revenue by Countries (2015-2020)
8.2 Brazil Recommendation Engine Revenue and Growth Rate (2015-2020)
8.3 Argentina Recommendation Engine Revenue and Growth Rate (2015-2020)
8.4 Colombia Recommendation Engine Revenue and Growth Rate (2015-2020)
9 Middle East and Africa Revenue Recommendation Engine by Countries
9.1 Middle East and Africa Recommendation Engine Revenue by Countries (2015-2020)
9.2 Saudi Arabia Recommendation Engine Revenue and Growth Rate (2015-2020)
9.3 UAE Recommendation Engine Revenue and Growth Rate (2015-2020)
9.4 Egypt Recommendation Engine Revenue and Growth Rate (2015-2020)
9.5 Nigeria Recommendation Engine Revenue and Growth Rate (2015-2020)
9.6 South Africa Recommendation Engine Revenue and Growth Rate (2015-2020)
10 Global Recommendation Engine Market Segment by Type
10.1 Global Recommendation Engine Revenue and Market Share by Type (2015-2020)
10.2 Global Recommendation Engine Market Forecast by Type (2021-2031)
10.3 Collaborative filtering Revenue Growth Rate (2015-2031)
10.4 Content-based filtering Revenue Growth Rate (2015-2031)
10.5 Hybrid recommendation Revenue Growth Rate (2015-2031)
11 Global Recommendation Engine Market Segment by Application
11.1 Global Recommendation Engine Revenue Market Share by Application (2015-2020)
11.2 Recommendation Engine Market Forecast by Application (2021-2031)
11.3 Manufacturing Revenue Growth (2015-2020)
11.4 Healthcare Revenue Growth (2015-2020)
11.5 BFSI Revenue Growth (2015-2020)
11.6 Media and entertainment Revenue Growth (2015-2020)
11.7 Transportation Revenue Growth (2015-2020)
11.8 Others Revenue Growth (2015-2020)
12 Global Recommendation Engine Market Size Forecast (2021-2031)
12.1 Global Recommendation Engine Market Size Forecast (2021-2031)
12.2 Global Recommendation Engine Market Forecast by Regions (2021-2031)
12.3 North America Recommendation Engine Revenue Market Forecast (2021-2031)
12.4 Europe Recommendation Engine Revenue Market Forecast (2021-2031)
12.5 Asia-Pacific Recommendation Engine Revenue Market Forecast (2021-2031)
12.6 South America Recommendation Engine Revenue Market Forecast (2021-2031)
12.7 Middle East and Africa Recommendation Engine Revenue Market Forecast (2021-2031)
13 Research Findings and Conclusion
14 Appendix
14.1 Methodology
14.2 Data Source