Market Research Logo

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

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

The recommendation engine market based on AI, is projected to grow at a CAGR of 40.7% during the forecast period
The market for recommendation engine 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 growth in focus toward enhancing the customer experience is a major factor driving the growth of the recommendation engine market. Moreover, enhancing customer experience is important to achieve customer engagement and retention, thereby achieving higher sales and Return on Investment (RoI). However, designing of targeted campings, as well as relevant product and content recommendations, could help organizations engage more customers. Hence, analysis of customer data here plays a vital role to understand the customer behavior and preferences. Furthermore, to analyze a large volume of data and automate the manual and tedious process of designing recommendations, enterprises need to design and lay out a plan of action. This could be accomplished by appropriate implementation of AI recommendation engine solutions into their operations.

Further, concerns related to infrastructure compatibility is expected to be a major restraint for the growth of recommendation engine market. As technological compatibility is linked to proper implementation of AI-based recommendation engines, improper implementation could lead to damages in the working mechanism of AI recommendation engine software and solutions.

The hybrid recommendation type is expected to grow at the fastest rate during the forecast period
Based on type, the recommendation engine market, include collaborative filtering, content-based filtering, and hybrid recommendation. The hybrid recommendation type helps various organizations combine 2 different data filtering types to achieve more accurate recommendations. Hence, this contributes to the adoption of hybrid recommendation type in the AI-powered recommendation systems.

The APAC region is expected to witness the highest growth rate during the forecast period
Asia Pacific (APAC) is expected to grow at the highest CAGR in the global recommendation engine market during the forecast period. 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. The North American region is expected to account for the largest market size during the forecast period. The major driving factors for the market are increase in need to understand the customer behavior and preferences and the need to achieve business insights from a large number of data to formulate various customer engagement strategies.

In the process to determine and verify the market size for several segments and subsegments gathered through secondary research, extensive primary interviews were conducted with key people.
• By Company Type - Tier 1 – 18%, Tier 2 – 47%, and Tier 3 –35%
• By Designation – C-level – 22%, Director-level – 42%, and Others – 36%
• By Region – North America – 24%, Europe– 48%, APAC - 16%, and MEA - 12%

The major vendors in the global recommendation engine market based on AI, are IBM (US), SAP (Germany), Salesforce (US), HPE (US), Oracle (US), Google (US), Microsoft (US), Intel (US), AWS (US), and Sentient Technologies (US).

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)

Research Coverage
The recommendation engine market powered by AI, has been segmented on the basis of types (collaborative filtering, content-based filtering, and hybrid recommendation), deployment modes, technologies, applications, end-users, and regions. The recommendation solutions help AI recommendation software and platform providers; venture capitalists/angel investors; IT management directors/managers; and BFSI, healthcare, retail, media and entertainment, and government organizations to improve business operations, enhance decision-making, and reduce costs. The deployment modes in the recommendation engine market are cloud and on-premises. Applications are segmented into personalized campaigns and customer discovery, product planning, strategy and operations planning, and proactive asset management. The technologies involved in the recommendation engine market are context aware and geospatial aware. The 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:
1. 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.
2. The report helps to understand the overall growth of the market. It provides information on the key market drivers, restraints, challenges, and opportunities.
3. 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.


  • INTRODUCTION
    • OBJECTIVES OF THE STUDY
    • MARKET DEFINITION
    • YEARS CONSIDERED FOR THE STUDY
    • CURRENCY
    • STAKEHOLDERS
  • RESEARCH METHODOLOGY
    • RESEARCH DATA
      • SECONDARY DATA
      • PRIMARY DATA
    • MARKET SIZE ESTIMATION
    • RESEARCH ASSUMPTIONS
      • AI RECOMMENDATION ENGINE MARKET: ASSUMPTIONS
    • LIMITATIONS
  • EXECUTIVE SUMMARY
    • Table GLOBAL AI RECOMMENDATION ENGINE MARKET SIZE AND GROWTH RATE, 2015-2022 (USD MILLION, Y-O-Y %)
  • PREMIUM INSIGHTS
    • ATTRACTIVE MARKET OPPORTUNITIES IN THE AI
    • AI RECOMMENDATION ENGINE MARKET, BY END-USER
    • AI RECOMMENDATION ENGINE MARKET, BY REGION
    • MARKET INVESTMENT SCENARIO
  • MARKET OVERVIEW AND INDUSTRY TRENDS
    • INTRODUCTION
    • AI RECOMMENDATION ENGINE AND DATA FILTERING MODELS
    • AI RECOMMENDATION ENGINE MARKET: USE CASES
      • USE CASE #1: AI-POWERED RECOMMENDATION SOLUTION TO INCREASE REVENUE IN THE ECOMMERCE SECTOR
      • USE CASE #2: AI-POWERED CUSTOMER RELATIONSHIP MANAGEMENT (CRM) SOLUTION TO DRIVE CUSTOMER ENGAGEMENT IN THE HOSPITALITY SECTOR
      • USE CASE: AI-POWERED RECOMMENDATION SOLUTION TO INCREASE CUSTOMER ENGAGEMENT IN THE ECOMMERCE SECTOR
      • USE CASE: AI-POWERED RECOMMENDATION SOLUTION TO GENERATE MORE ORDERS AND INCREASE REVENUE IN THE RETAIL SECTOR
    • MARKET DYNAMICS
      • DRIVERS
      • RESTRAINTS
      • OPPORTUNITIES
      • CHALLENGES
  • AI RECOMMENDATION ENGINE MARKET, BY TYPE
    • INTRODUCTION
      • Table AI RECOMMENDATION ENGINE MARKET SIZE, BY TYPE, 2015-2022 (USD MILLION)
    • COLLABORATIVE FILTERING
      • Table COLLABORATIVE FILTERING: AI RECOMMENDATION ENGINE MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
    • CONTENT-BASED FILTERING
      • Table CONTENT-BASED FILTERING: AI RECOMMENDATION ENGINE MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
    • HYBRID RECOMMENDATION
      • Table HYBRID RECOMMENDATION: AI RECOMMENDATION ENGINE MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • AI RECOMMENDATION ENGINE MARKET, BY TECHNOLOGY
    • INTRODUCTION
      • Table AI RECOMMENDATION ENGINE MARKET SIZE, BY TECHNOLOGY, 2015-2022 (USD MILLION)
    • CONTEXT AWARE
      • Table CONTEXT AWARE: AI RECOMMENDATION ENGINE MARKET SIZE, BY TYPE, 2015-2022 (USD MILLION)
      • Table CONTEXT AWARE: AI RECOMMENDATION ENGINE MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
      • MACHINE LEARNING AND DEEP LEARNING
        • Table MACHINE LEARNING AND DEEP LEARNING MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
      • NATURAL LANGUAGE PROCESSING
        • Table NATURAL LANGUAGE PROCESSING MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
    • GEOSPATIAL AWARE
      • Table GEOSPATIAL AWARE: AI RECOMMENDATION ENGINE MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • AI RECOMMENDATION ENGINE MARKET, BY APPLICATION
    • INTRODUCTION
      • Table AI RECOMMENDATION ENGINE MARKET SIZE, BY APPLICATION, 2015-2022 (USD MILLION)
    • PERSONALIZED CAMPAIGNS AND CUSTOMER DISCOVERY
      • Table PERSONALIZED CAMPAIGNS AND CUSTOMER DISCOVERY: AI RECOMMENDATION ENGINE MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
    • PRODUCT PLANNING
      • Table PRODUCT PLANNING: AI RECOMMENDATION ENGINE MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
    • STRATEGY AND OPERATIONS PLANNING
      • Table STRATEGY AND OPERATIONS PLANNING: AI RECOMMENDATION ENGINE MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
    • PROACTIVE ASSET MANAGEMENT
      • Table PROACTIVE ASSET MANAGEMENT: AI RECOMMENDATION ENGINE MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
    • OTHERS
      • Table OTHERS: AI RECOMMENDATION ENGINE MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • AI RECOMMENDATION ENGINE MARKET, BY DEPLOYMENT MODE
    • INTRODUCTION
      • Table AI RECOMMENDATION ENGINE MARKET SIZE, BY DEPLOYMENT MODE, 2015-2022 (USD MILLION)
    • CLOUD
      • Table CLOUD: AI RECOMMENDATION ENGINE MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
    • ON-PREMISES
      • Table ON-PREMISES: AI RECOMMENDATION ENGINE MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • AI RECOMMENDATION ENGINE MARKET, BY END-USER
    • INTRODUCTION
      • Table AI RECOMMENDATION ENGINE MARKET SIZE, BY END-USER, 2015-2022 (USD MILLION)
    • RETAIL
      • Table RETAIL: AI RECOMMENDATION ENGINE MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
    • MEDIA AND ENTERTAINMENT
      • Table MEDIA AND ENTERTAINMENT: AI RECOMMENDATION ENGINE MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
    • TRANSPORTATION
      • Table TRANSPORTATION: AI RECOMMENDATION ENGINE MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
    • BANKING, FINANCIAL SERVICES, AND INSURANCE
      • Table BANKING, FINANCIAL SERVICES, AND INSURANCE: AI RECOMMENDATION ENGINE MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
    • HEALTHCARE
      • Table HEALTHCARE: AI RECOMMENDATION ENGINE MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
    • OTHERS
      • Table OTHERS: AI RECOMMENDATION ENGINE MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
  • AI RECOMMENDATION ENGINE MARKET, BY REGION
    • INTRODUCTION
      • Table AI RECOMMENDATION ENGINE MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
    • NORTH AMERICA
      • UNITED STATES
      • CANADA
        • Table DATA TRAFFIC IN NORTH AMERICA, 2016-2022 (PETABYTES/MONTH)
        • Table MAJOR ERETAILERS IN NORTH AMERICA
        • Table NORTH AMERICA: AI RECOMMENDATION ENGINE MARKET SIZE, BY COUNTRY, 2015-2022 (USD MILLION)
        • Table NORTH AMERICA: AI RECOMMENDATION ENGINE MARKET SIZE, BY TYPE, 2015-2022 (USD MILLION)
        • Table NORTH AMERICA: AI RECOMMENDATION ENGINE MARKET SIZE, BY TECHNOLOGY, 2015-2022 (USD MILLION)
        • Table NORTH AMERICA: CONTEXT AWARE AI RECOMMENDATION ENGINE MARKET SIZE, BY TYPE, 2015-2022 (USD MILLION)
        • Table NORTH AMERICA: AI RECOMMENDATION ENGINE MARKET SIZE, BY APPLICATION, 2015-2022 (USD MILLION)
        • Table NORTH AMERICA: AI RECOMMENDATION ENGINE MARKET SIZE, BY DEPLOYMENT MODE, 2015-2022 (USD MILLION)
        • Table NORTH AMERICA: AI RECOMMENDATION ENGINE MARKET SIZE, BY END-USER,2015-2022 (USD MILLION)
    • EUROPE
      • UNITED KINGDOM
      • GERMANY
      • SWITZERLAND
      • REST OF EUROPE
        • Table DATA TRAFFIC IN EUROPE, 2016-2022 (PETABYTES/MONTH)
        • Table MAJOR ERETAILERS IN EUROPE
        • Table EUROPE: AI RECOMMENDATION ENGINE MARKET SIZE, BY COUNTRY, 2015-2022 (USD MILLION)
        • Table EUROPE: AI RECOMMENDATION ENGINE MARKET SIZE, BY TYPE, 2015-2022 (USD MILLION)
        • Table EUROPE: AI RECOMMENDATION ENGINE MARKET SIZE, BY TECHNOLOGY, 2015-2022 (USD MILLION)
        • Table EUROPE: CONTEXT AWARE AI RECOMMENDATION ENGINE MARKET SIZE, BY TYPE, 2015-2022 (USD MILLION)
        • Table EUROPE: AI RECOMMENDATION ENGINE MARKET SIZE, BY APPLICATION, 2015-2022 (USD MILLION)
        • Table EUROPE: AI RECOMMENDATION ENGINE MARKET SIZE, BY DEPLOYMENT MODE, 2015-2022 (USD MILLION)
        • Table EUROPE: AI RECOMMENDATION ENGINE MARKET SIZE, BY END-USER, 2015-2022 (USD MILLION)
    • ASIA PACIFIC
      • CHINA
      • JAPAN
      • REST OF ASIA PACIFIC
        • Table DATA TRAFFIC IN ASIA PACIFIC, 2016-2022 (PETABYTES/MONTH)
        • Table MAJOR ERETAILERS IN ASIA PACIFIC
        • Table ASIA PACIFIC: AI RECOMMENDATION ENGINE MARKET SIZE, BY COUNTRY, 2015-2022 (USD MILLION)
        • Table ASIA PACIFIC: AI RECOMMENDATION ENGINE MARKET SIZE, BY TYPE, 2015-2022 (USD MILLION)
        • Table ASIA PACIFIC: AI RECOMMENDATION ENGINE MARKET SIZE, BY TECHNOLOGY, 2015-2022 (USD MILLION)
        • Table ASIA PACIFIC: CONTEXT AWARE AI RECOMMENDATION ENGINE MARKET SIZE, BY TYPE, 2015-2022 (USD MILLION)
        • Table ASIA PACIFIC: AI RECOMMENDATION ENGINE MARKET SIZE, BY APPLICATION, 2015-2022 (USD MILLION)
        • Table ASIA PACIFIC: AI RECOMMENDATION ENGINE MARKET SIZE, BY DEPLOYMENT MODE, 2015-2022 (USD MILLION)
        • Table ASIA PACIFIC: AI RECOMMENDATION ENGINE MARKET SIZE, BY END-USER, 2015-2022 (USD MILLION)
    • MIDDLE EAST AND AFRICA
      • MIDDLE EAST
      • AFRICA
        • Table DATA TRAFFIC IN MIDDLE EAST AND AFRICA, 2016-2022 (PETABYTES/MONTH)
        • Table MIDDLE EAST AND AFRICA: AI RECOMMENDATION ENGINE MARKET SIZE, BY REGION, 2015-2022 (USD MILLION)
        • Table MIDDLE EAST AND AFRICA: AI RECOMMENDATION ENGINE MARKET SIZE, BY TYPE, 2015-2022 (USD MILLION)
        • Table MIDDLE EAST AND AFRICA: AI RECOMMENDATION ENGINE MARKET SIZE, BY TECHNOLOGY, 2015-2022 (USD MILLION)
        • Table MIDDLE EAST AND AFRICA: CONTEXT AWARE AI RECOMMENDATION ENGINE MARKET SIZE, BY TYPE, 2015-2022 (USD MILLION)
        • Table MIDDLE EAST AND AFRICA: AI RECOMMENDATION ENGINE MARKET SIZE, BY APPLICATION, 2015-2022 (USD MILLION)
        • Table MIDDLE EAST AND AFRICA: AI RECOMMENDATION ENGINE MARKET SIZE, BY DEPLOYMENT MODE, 2015-2022 (USD MILLION)
        • Table MIDDLE EAST AND AFRICA: AI RECOMMENDATION ENGINE MARKET SIZE, BY END-USER, 2015-2022 (USD MILLION)
    • LATIN AMERICA
      • BRAZIL
      • REST OF LATIN AMERICA
        • Table DATA TRAFFIC IN LATIN AMERICA, 2016-2022 (PETABYTES/MONTH)
        • Table MAJOR ERETAILERS IN LATIN AMERICA
        • Table LATIN AMERICA: AI RECOMMENDATION ENGINE MARKET SIZE, BY COUNTRY, 2015-2022 (USD MILLION)
        • Table LATIN AMERICA: AI RECOMMENDATION ENGINE MARKET SIZE, BY TYPE, 2015-2022 (USD MILLION)
        • Table LATIN AMERICA: AI RECOMMENDATION ENGINE MARKET SIZE, BY TECHNOLOGY, 2015-2022 (USD MILLION)
        • Table LATIN AMERICA: CONTEXT AWARE AI RECOMMENDATION ENGINE MARKET SIZE, BY TYPE, 2015-2022 (USD MILLION)
        • Table LATIN AMERICA: AI RECOMMENDATION ENGINE MARKET SIZE, BY APPLICATION, 2015-2022 (USD MILLION)
        • Table LATIN AMERICA: AI RECOMMENDATION ENGINE MARKET SIZE, BY DEPLOYMENT MODE, 2015-2022 (USD MILLION)
        • Table LATIN AMERICA: AI RECOMMENDATION ENGINE MARKET SIZE, BY END-USER, 2015-2022 (USD MILLION)
  • COMPETITIVE LANDSCAPE
    • OVERVIEW
    • TOP PLAYERS OPERATING IN THE AI RECOMMENDATION ENGINE MARKET
    • COMPETITIVE SCENARIO
      • NEW PRODUCT LAUNCHES/PRODUCT ENHANCEMENTS
        • Table NEW PRODUCT LAUNCHES/PRODUCT ENHANCEMENTS, 2016-2017
      • PARTNERSHIPS, AGREEMENTS, AND COLLABORATIONS
        • Table PARTNERSHIPS, AGREEMENTS, AND COLLABORATIONS, 2015-2017
      • MERGERS AND ACQUISITIONS
        • Table MERGERS AND ACQUISITIONS, 2016-2017
      • BUSINESS EXPANSIONS
        • Table BUSINESS EXPANSIONS, 2017
  • COMPANY PROFILES
    • INTRODUCTION
    • IBM
      • BUSINESS OVERVIEW
      • PRODUCTS/SOLUTIONS AND SERVICES OFFERED
      • RECENT DEVELOPMENTS
      • SWOT ANALYSIS
      • MNM VIEW
    • GOOGLE
      • BUSINESS OVERVIEW
      • PRODUCTS/SOLUTIONS AND SERVICES OFFERED
      • RECENT DEVELOPMENTS
      • SWOT ANALYSIS
      • MNM VIEW
    • AWS
      • BUSINESS OVERVIEW
      • PRODUCTS/SOLUTIONS AND SERVICES OFFERED
      • RECENT DEVELOPMENTS
      • SWOT ANALYSIS
      • MNM VIEW
    • MICROSOFT
      • BUSINESS OVERVIEW
      • PRODUCTS/SOLUTIONS OFFERED
      • RECENT DEVELOPMENTS
      • SWOT ANALYSIS
      • MNM VIEW
    • SALESFORCE
      • BUSINESS OVERVIEW
      • PRODUCTS/SOLUTIONS OFFERED
      • RECENT DEVELOPMENTS
      • SWOT ANALYSIS
      • MNM VIEW
    • SENTIENT TECHNOLOGIES
      • BUSINESS OVERVIEW
      • SOLUTIONS/PLATFORMS OFFERED
      • RECENT DEVELOPMENTS
      • MNM VIEW
    • HPE
      • BUSINESS OVERVIEW
      • PLATFORMS/SERVICES OFFERED
      • RECENT DEVELOPMENTS
      • MNM VIEW
    • ORACLE
      • BUSINESS OVERVIEW
      • SOLUTIONS OFFERED
      • RECENT DEVELOPMENTS
      • MNM VIEW
    • INTEL
      • BUSINESS OVERVIEW
      • PRODUCTS OFFERED
      • RECENT DEVELOPMENTS
      • MNM VIEW
    • SAP
      • BUSINESS OVERVIEW
      • PRODUCTS/SOLUTIONS AND SERVICES OFFERED
      • RECENT DEVELOPMENTS
      • MNM VIEW
    • KEY INNOVATORS
      • FUZZY.AI
      • INFINITE ANALYTICS
  • APPENDIX
    • DISCUSSION GUIDE
    • KNOWLEDGE STORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
    • INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE
    • AVAILABLE CUSTOMIZATIONS
    • RELATED REPORTS
    • AUTHOR DETAILS

Download our eBook: How to Succeed Using Market Research

Learn how to effectively navigate the market research process to help guide your organization on the journey to success.

Download eBook

Share this report