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Research details developments in the global recommendation engine market

Industrial Market Research

Global recommendation engine market based on AI, has been segmented on the basis of major geographic regions into North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America. North America is expected to be the largest revenue-generating region, as there is a high focus on innovations in the US and Canada.

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Download Study Papers of Recommendation Engine Market spread across 143 Pages, Profiling 11 Companies and Supported with 76 Tables and 49 Figures is now available at www.rnrmarketresearch.com/contacts…ple?rname=1412899 .

The global recommendation engine market based on AI, is expected to grow from USD 801.1 Million in 2017 to USD 4414.8 Million by 2022, at a Compound Annual Growth Rate (CAGR) of 40.7% during the forecast period. The major driving factors for the market are growth in focus toward enhancing the customer experience and upsurge in rate of digitalization.

Key Target Audience

  • AI recommendation engine software and platform providers
  • Venture capitalists and angel investors
  • Information Technology (IT) management directors/managers
  • Government organizations
  • Research organizations
  • Consultants/advisory firms
  • IT governance directors/managers
  • AI system integrators
  • Managed Service Providers (MSPs)
  • Value-added Resellers (VARs)

Asia Pacific (APAC) is expected to grow at the highest CAGR in the global recommendation engine market during the forecast period.

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Moreover, several factors, such as rapid expansion of local enterprises, increase in infrastructure developments, and growth in need to analyze customer data have driven the adoption of recommendation engines across different end-users.

More Information on Recommendation Engine Market with Company Profiles at www.rnrmarketresearch.com/contacts/1412899 .

Objective of study is to define, describe, & forecast recommendation engine market powered by AI, on the basis of types (collaborative filtering, content-based filtering, and hybrid recommendations) deployment modes (cloud and on-premises), technologies (context aware and geospatial aware), applications (personalized campaigns and customer discovery, product planning, strategy and operations planning, and proactive asset management), end-users (Banking, Financial Services, and Insurance (BFSI); media and entertainement; healthcare; retail; and transportation), and regions.

AI recommendation engine software and platform providers

  • Venture capitalists and angel investors
  • Information Technology (IT) management directors/managers
  • Government organizations
  • Research organizations
  • Consultants/advisory firms
  • IT governance directors/managers
  • AI system integrators
  • Managed Service Providers (MSPs)
  • Value-added Resellers (VARs)

Recommendation engine market powered by AI, has been segmented on the basis of types (collaborative filtering, content-based filtering, & hybrid recommendation), deployment modes, technologies, applications, end-users, and regions. Recommendation solutions help AI recommendation software and platform providers; venture capitalists/angel investors; IT management directors/managers; and BFSI, healthcare, retail, media and entertainment.

“Recommendation Engine Market by Type (Collaborative Filtering, Content-Based Filtering, and Hybrid Recommendation), Deployment Mode (Cloud and On-Premises), Technology, Application, End-User, and Region - Global Forecast to 2022” report at www.rnrmarketresearch.com/contacts/?rname=1412899 .

The recommendation engine market technologies involved in the recommendation engine market are context aware and geospatial aware. End-users segment includes BFSI, retail, healthcare, media and entertainment, transportation, and others (telecom, energy and utilities, manufacturing, and education).

On the basis of regions, recommendation engine is segmented into North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America.

The report is expected to help the market leaders and new entrants in the recommendation engine market based on AI, in the following ways:

  • The report segments the market into various subsegments, hence it covers the market comprehensively. The report provides the closest approximations of the revenue numbers for the overall market and subsegments. The market numbers are further split into different application areas and regions.
  • The report helps to understand the overall growth of the market. It provides information on the key market drivers, restraints, challenges, and opportunities.
  • The report helps to better understand competitors and gain more insights to strengthen organizations position in the market. In addition, the study presents the positioning of the key players based on their product offerings and business strategies.

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