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
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
Market Segment by Applications, can be divided into
Media and entertainment
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)
1.3.5 Media and entertainment
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
2.1.1 Business Overview
2.1.2 Recommendation Engine Type and Applications
184.108.40.206 Product A
220.127.116.11 Product B
2.1.3 IBM Recommendation Engine Revenue, Gross Margin and Market Share (2017-2018)
2.2.1 Business Overview
2.2.2 Recommendation Engine Type and Applications
18.104.22.168 Product A
22.214.171.124 Product B
2.2.3 G ...
www.decisiondatabases.com is a online aggregator of market and research database which includes databases, reports and profiles. We have started this portal with a aim to become one stop shop provider for marketing and research data requirements for various sector and country databases.