Global Recommendation Engine Market 2019 by Company, Regions, Type and Application, Forecast to 2024
- ID:PD037539
- July 2019
- GIR (GlobalInfoResearch)
The Global Recommendation Engine Market Report is equipped with market data from 2014 to 2024. The report gives a market overview covering key drivers and risks factors. The report is bifurcated by top global manufactures mentioning sales, revenue and prices as applicable. It also evaluates the competitive scenario of the leading players. The report expands to cover regional market data along with type and application. The report forecasts sales and revenue from 2019 to 2024. The detailed sales channel is also covered in the study.
A recommendation engine, also known as a recommender system, is software that analyzes available data to make suggestions for something that a website user might be interested in, such as a book, a video or a job, among other possibilities.
Scope of the Report:
North America is expected to be the largest revenue-generating region, as there is a high focus on innovations in the US and Canada. These countries have the most competitive and rapidly changing market across the globe. APAC is expected to be the fastest-growing region in the market. Moreover, APAC is expected to be the highly potential market due to rise in the eCommerce market and enormous growth of data across all end-users.
The global Recommendation Engine market is valued at xx million USD in 2018 and is expected to reach xx million USD by the end of 2024, growing at a CAGR of xx% between 2019 and 2024.
The Asia-Pacific will occupy for more market share in following years, especially in China, also fast growing India and Southeast Asia regions.
North America, especially The United States, will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of Recommendation Engine.
Europe also play important roles in global market, with market size of xx million USD in 2019 and will be xx million USD in 2024, with a CAGR of xx%.
This report studies the Recommendation Engine market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the Recommendation Engine market by product type and applications/end industries.
Market Segment by Companies, this report covers
- IBM
- AWS
- Microsoft
- Salesforce
- Sentient Technologies
- HPE
- Oracle
- Intel
- SAP
Market Segment by Regions, regional analysis covers
- North America (United States, Canada and Mexico)
- Europe (Germany, France, UK, Russia and Italy)
- Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
- South America (Brazil, Argentina, Colombia)
- Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
Market Segment by Type, covers
- Collaborative filtering
- Content-based filtering
- Hybrid recommendation
Market Segment by Applications, can be divided into
- Manufacturing
- Healthcare
- BFSI
- Media and entertainment
- Transportation
- Others
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 (2019-2024)
1.2.2 Global Recommendation Engine Revenue Market Share by Types in 2018
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 (2014-2024)
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 (2014-2024)
1.4.1 North America (USA, Canada and Mexico) Recommendation Engine Status and Prospect (2014-2024)
1.4.2 Europe (Germany, France, UK, Russia and Italy) Recommendation Engine Status and Prospect (2014-2024)
1.4.3 Asia-Pacific (China, Japan, Korea, India and Southeast Asia) Recommendation Engine Status and Prospect (2014-2024)
1.4.4 South America (Brazil, Argentina, Colombia) Recommendation Engine Status and Prospect (2014-2024)
1.4.5 Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa) Recommendation Engine Status and Prospect (2014-2024)
1.5 Global Market Size of Recommendation Engine (2014-2024)
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 (2017-2018)
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 (2017-2018)
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 (2017-2018)
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 (2017-2018)
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 (2017-2018)
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 (2017-2018)
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 (2017-2018)
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 (2017-2018)
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 (2017-2018)
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 (2017-2018)
3 Global Recommendation Engine Market Competition, by Players
3.1 Global Recommendation Engine Revenue and Share by Players (2014-2019)
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 (2014-2019)
4.3 Europe Recommendation Engine Revenue and Growth Rate (2014-2019)
4.4 Asia-Pacific Recommendation Engine Revenue and Growth Rate (2014-2019)
4.5 South America Recommendation Engine Revenue and Growth Rate (2014-2019)
4.6 Middle East and Africa Recommendation Engine Revenue and Growth Rate (2014-2019)
5 North America Recommendation Engine Revenue by Countries
5.1 North America Recommendation Engine Revenue by Countries (2014-2019)
5.2 USA Recommendation Engine Revenue and Growth Rate (2014-2019)
5.3 Canada Recommendation Engine Revenue and Growth Rate (2014-2019)
5.4 Mexico Recommendation Engine Revenue and Growth Rate (2014-2019)
6 Europe Recommendation Engine Revenue by Countries
6.1 Europe Recommendation Engine Revenue by Countries (2014-2019)
6.2 Germany Recommendation Engine Revenue and Growth Rate (2014-2019)
6.3 UK Recommendation Engine Revenue and Growth Rate (2014-2019)
6.4 France Recommendation Engine Revenue and Growth Rate (2014-2019)
6.5 Russia Recommendation Engine Revenue and Growth Rate (2014-2019)
6.6 Italy Recommendation Engine Revenue and Growth Rate (2014-2019)
7 Asia-Pacific Recommendation Engine Revenue by Countries
7.1 Asia-Pacific Recommendation Engine Revenue by Countries (2014-2019)
7.2 China Recommendation Engine Revenue and Growth Rate (2014-2019)
7.3 Japan Recommendation Engine Revenue and Growth Rate (2014-2019)
7.4 Korea Recommendation Engine Revenue and Growth Rate (2014-2019)
7.5 India Recommendation Engine Revenue and Growth Rate (2014-2019)
7.6 Southeast Asia Recommendation Engine Revenue and Growth Rate (2014-2019)
8 South America Recommendation Engine Revenue by Countries
8.1 South America Recommendation Engine Revenue by Countries (2014-2019)
8.2 Brazil Recommendation Engine Revenue and Growth Rate (2014-2019)
8.3 Argentina Recommendation Engine Revenue and Growth Rate (2014-2019)
8.4 Colombia Recommendation Engine Revenue and Growth Rate (2014-2019)
9 Middle East and Africa Revenue Recommendation Engine by Countries
9.1 Middle East and Africa Recommendation Engine Revenue by Countries (2014-2019)
9.2 Saudi Arabia Recommendation Engine Revenue and Growth Rate (2014-2019)
9.3 UAE Recommendation Engine Revenue and Growth Rate (2014-2019)
9.4 Egypt Recommendation Engine Revenue and Growth Rate (2014-2019)
9.5 Nigeria Recommendation Engine Revenue and Growth Rate (2014-2019)
9.6 South Africa Recommendation Engine Revenue and Growth Rate (2014-2019)
10 Global Recommendation Engine Market Segment by Type
10.1 Global Recommendation Engine Revenue and Market Share by Type (2014-2019)
10.2 Global Recommendation Engine Market Forecast by Type (2019-2024)
10.3 Collaborative filtering Revenue Growth Rate (2014-2024)
10.4 Content-based filtering Revenue Growth Rate (2014-2024)
10.5 Hybrid recommendation Revenue Growth Rate (2014-2024)
11 Global Recommendation Engine Market Segment by Application
11.1 Global Recommendation Engine Revenue Market Share by Application (2014-2019)
11.2 Recommendation Engine Market Forecast by Application (2019-2024)
11.3 Manufacturing Revenue Growth (2014-2019)
11.4 Healthcare Revenue Growth (2014-2019)
11.5 BFSI Revenue Growth (2014-2019)
11.6 Media and entertainment Revenue Growth (2014-2019)
11.7 Transportation Revenue Growth (2014-2019)
11.8 Others Revenue Growth (2014-2019)
12 Global Recommendation Engine Market Size Forecast (2019-2024)
12.1 Global Recommendation Engine Market Size Forecast (2019-2024)
12.2 Global Recommendation Engine Market Forecast by Regions (2019-2024)
12.3 North America Recommendation Engine Revenue Market Forecast (2019-2024)
12.4 Europe Recommendation Engine Revenue Market Forecast (2019-2024)
12.5 Asia-Pacific Recommendation Engine Revenue Market Forecast (2019-2024)
12.6 South America Recommendation Engine Revenue Market Forecast (2019-2024)
12.7 Middle East and Africa Recommendation Engine Revenue Market Forecast (2019-2024)
13 Research Findings and Conclusion
14 Appendix
14.1 Methodology
14.2 Data Source
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