Recommendation Engine Market Global Growth, Trends, Analysis and Forecast to 2023

Global Recommendation Engine Market 2018 by Manufacturers, Countries, Type and Application, Forecast to 2023 Provides in-depth analysis of parent market trends, macro-economic indicators and governing factors along with market attractiveness as per segments.

Global Recommendation Engine Market 2018-2023

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 Global Recommendation Engine Market Report

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.

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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 2017 and is expected to reach xx million USD by the end of 2023, growing at a CAGR of xx% between 2017 and 2023.

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 2017 and will be xx million USD in 2023, with a CAGR of xx%.

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This report covers Analysis of Global Recommendation Engine Market Segment by Manufacturers

IBM
Google
AWS
Microsoft
Salesforce
Sentient Technologies
HPE
Oracle
Intel
SAP

Global Recommendation Engine Market Segment by regional analysis covers 

North America (USA, Canada and Mexico)
Europe (Germany, France, UK, Russia and Italy)
Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
South America (Brazil, Argentina, Columbia etc.)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

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Global Recommendation Engine Market Segment by Type

Collaborative filtering
Content-based filtering
Hybrid recommendation

Global Recommendation Engine Market Segment by Applications, can be divided into

Manufacturing
Healthcare
BFSI
Media and entertainment
Transportation
Others

Some of the Points cover in Global Recommendation Engine Market Research Report is:

Chapter 1: Describe Recommendation Engine  Industry

  • Introduction,
  • Product Scope,
  • Market Overview,
  • Market Opportunities,
  • Market Risk,
  • Market Driving Force

Chapter 2: To analyze the top manufacturers of Recommendation Engine Industry in 2016 and 2017

  • Sales
  • Revenue and price

Chapter 3: Competitive analysis among the top manufacturers in 2016 and 2017

  • Sales
  • Revenue and market share

Chapter 4: Global Recommendation Engine  Market by regions from 2013 to 2018

  • Sales
  • Revenue and market share

Chapter 5, 6, 7 and 8: Global Recommendation Engine Market by key countries in these regions

  • Sales
  • Revenue and market share

Chapter 9 and 10: Global Recommendation Engine Market by type and application from 2013 to 2018

  • Sales
  • Revenue and market share
  • Growth rate

Chapter 11:Recommendation Engine Industry Market forecast from 2018 to 2023

  • Regions
  • Type and application with sales and revenue

Chapter 12 and 13:Recommendation Engine Industry

  • Sales channel
  • Distributors
  • Traders and dealers
  • Appendix
  • Data source

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