Recommendation Engine Market By Type, By Deployment Model, By Enterprise Size, By Application, By Industry Vertical : Global Opportunity Analysis and Industry Forecast, 2021-2031

Description

List of Tables

A recommendation engine is a type of data filtering tool that uses machine learning algorithms to recommend the most relevant items to a particular user or customer. In addition, it operates on the principle of finding patterns in consumer behavior data, which can be collected implicitly or explicitly.

Rise in adoption of digital technologies and increase in focus enhance customer experience, which boost the growth of the global recommendation engine market. In addition, increase in use of the deep learning technology in AI recommendation engine solution positively impacts the growth of the recommendation engine market. However, lack of skills & expertise and concerns over accessing customers' personal data hamper the recommendation engine market growth. On the contrary, increase in demand to analyze large volume of data is expected to offer remunerative opportunities for expansion of the recommendation engine market during the forecast period.

The recommendation engine market is segmented on the basis of by type, deployment model, application type, enterprise size, industry vertical, and region. On the basis of type, the market is categorized into collaborative filtering, content-based filtering, and hybrid recommendation. On the basis of deployment model, the market is bifurcated into on-premise and cloud. On the basis of enterprise size, the market is bifurcated into large enterprises and SMEs. By application type, the market is divided into personalized campaigns & customer delivery, strategy operations & planning, and product planning & proactive asset management. By industry vertical, it is classified into BFSI, IT & telecom, healthcare & life science, retail & consumer goods, media & entertainment, and others. By region, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

The key players that operate in the recommendation engine market are: Adobe, Amazon Web Services, Google LLC, Hewlett Packard Enterprise Development LP, IBM Corporation, Intel Corporation, Microsoft Corporation, Oracle Corporation, Salesforce, Inc., and SAP SE. These players have adopted various strategies to increase their market penetration and strengthen their position in the industry.

KEY BENEFITS FOR STAKEHOLDERS

The study provides an in-depth analysis of the global recommendation engine market forecast along with the current and future trends to explain the imminent investment pockets.
Information about key drivers, restraints, and opportunities and their impact analysis on global recommendation engine market trend is provided in the report.
The Porter's five forces analysis illustrates the potency of the buyers and suppliers operating in the industry.
The quantitative analysis of the market from 2022 to 2031 is provided to determine the market potential.

Key Market Segments

By Industry Vertical

Retail and Consumer Goods
IT and Telecom
Healthcare and Life Science
BFSI
Media and Entertainment
Others

By Type

Collaborative Filtering
Content-based Filtering
Hybrid recommendation

By Deployment Model

On-Premises
Cloud

By Enterprise Size

Large Enterprises
Small and Medium Enterprises

By Application

Personalized Campaigns and Customer Delivery
Strategy Operations and Planning
Product Planning and Proactive Asset Management

By Region

North America
- U.S.
- Canada
Europe
- UK
- Germany
- France
- Italy
- Spain
- Rest of Europe
Asia-Pacific
- China
- Japan
- South Korea
- India
- Australia
- Rest of Asia-Pacific
LAMEA
- Latin America
- Middle East
- Africa

Key Market Players:

Amazon Web Services
IBM Corporation
Microsoft Corporation
Oracle Corporation
SAP SE
Adobe
Google LLC
Intel Corporation
Salesforce, Inc.
Hewlett Packard Enterprise Development LP

Product Code: A14635

CHAPTER 1: INTRODUCTION

1.1. Report description
1.2. Key market segments
1.3. Key benefits to the stakeholders
1.4. Research Methodology
- 1.4.1. Primary research
- 1.4.2. Secondary research
- 1.4.3. Analyst tools and models

CHAPTER 2: EXECUTIVE SUMMARY

2.1. CXO Perspective

CHAPTER 3: MARKET OVERVIEW

3.1. Market definition and scope
3.2. Key findings
- 3.2.1. Top impacting factors
- 3.2.2. Top investment pockets
3.3. Porter's five forces analysis
- 3.3.1. Bargaining power of suppliers
- 3.3.2. Bargaining power of buyers
- 3.3.3. Threat of substitutes
- 3.3.4. Threat of new entrants
- 3.3.5. Intensity of rivalry
3.4. Market dynamics
- 3.4.1. Drivers
  - 3.4.1.1. Growth in adoption of digital technologies
  - 3.4.1.2. Increase in focus on enhancing the customer experience
  - 3.4.1.3. Increase in use of the deep learning technology in AI recommendation engine solution

3.4.2. Restraints
- 3.4.2.1. Lack of skills and expertise
- 3.4.2.2. Concerns over accessing customers' personal data

3.4.3. Opportunities
- 3.4.3.1. Increase in demand to analyze large volume of data

3.5. COVID-19 Impact Analysis on the market

CHAPTER 4: RECOMMENDATION ENGINE MARKET, BY TYPE

4.1. Overview
- 4.1.1. Market size and forecast
4.2. Collaborative Filtering
- 4.2.1. Key market trends, growth factors and opportunities
- 4.2.2. Market size and forecast, by region
- 4.2.3. Market share analysis by country
4.3. Content-based Filtering
- 4.3.1. Key market trends, growth factors and opportunities
- 4.3.2. Market size and forecast, by region
- 4.3.3. Market share analysis by country
4.4. Hybrid recommendation
- 4.4.1. Key market trends, growth factors and opportunities
- 4.4.2. Market size and forecast, by region
- 4.4.3. Market share analysis by country

CHAPTER 5: RECOMMENDATION ENGINE MARKET, BY DEPLOYMENT MODEL

5.1. Overview
- 5.1.1. Market size and forecast
5.2. On-Premises
- 5.2.1. Key market trends, growth factors and opportunities
- 5.2.2. Market size and forecast, by region
- 5.2.3. Market share analysis by country
5.3. Cloud
- 5.3.1. Key market trends, growth factors and opportunities
- 5.3.2. Market size and forecast, by region
- 5.3.3. Market share analysis by country

CHAPTER 6: RECOMMENDATION ENGINE MARKET, BY ENTERPRISE SIZE

6.1. Overview
- 6.1.1. Market size and forecast
6.2. Large Enterprises
- 6.2.1. Key market trends, growth factors and opportunities
- 6.2.2. Market size and forecast, by region
- 6.2.3. Market share analysis by country
6.3. Small and Medium Enterprises
- 6.3.1. Key market trends, growth factors and opportunities
- 6.3.2. Market size and forecast, by region
- 6.3.3. Market share analysis by country

CHAPTER 7: RECOMMENDATION ENGINE MARKET, BY APPLICATION

7.1. Overview
- 7.1.1. Market size and forecast
7.2. Personalized Campaigns and Customer Delivery
- 7.2.1. Key market trends, growth factors and opportunities
- 7.2.2. Market size and forecast, by region
- 7.2.3. Market share analysis by country
7.3. Strategy Operations and Planning
- 7.3.1. Key market trends, growth factors and opportunities
- 7.3.2. Market size and forecast, by region
- 7.3.3. Market share analysis by country
7.4. Product Planning and Proactive Asset Management
- 7.4.1. Key market trends, growth factors and opportunities
- 7.4.2. Market size and forecast, by region
- 7.4.3. Market share analysis by country

CHAPTER 8: RECOMMENDATION ENGINE MARKET, BY INDUSTRY VERTICAL

8.1. Overview
- 8.1.1. Market size and forecast
8.2. Retail and Consumer Goods
- 8.2.1. Key market trends, growth factors and opportunities
- 8.2.2. Market size and forecast, by region
- 8.2.3. Market share analysis by country
8.3. IT and Telecom
- 8.3.1. Key market trends, growth factors and opportunities
- 8.3.2. Market size and forecast, by region
- 8.3.3. Market share analysis by country
8.4. Healthcare and Life Science
- 8.4.1. Key market trends, growth factors and opportunities
- 8.4.2. Market size and forecast, by region
- 8.4.3. Market share analysis by country
8.5. BFSI
- 8.5.1. Key market trends, growth factors and opportunities
- 8.5.2. Market size and forecast, by region
- 8.5.3. Market share analysis by country
8.6. Media and Entertainment
- 8.6.1. Key market trends, growth factors and opportunities
- 8.6.2. Market size and forecast, by region
- 8.6.3. Market share analysis by country
8.7. Others
- 8.7.1. Key market trends, growth factors and opportunities
- 8.7.2. Market size and forecast, by region
- 8.7.3. Market share analysis by country

CHAPTER 9: RECOMMENDATION ENGINE MARKET, BY REGION

9.1. Overview
- 9.1.1. Market size and forecast By Region
9.2. North America
- 9.2.1. Key trends and opportunities
- 9.2.2. Market size and forecast, by Type
- 9.2.3. Market size and forecast, by Deployment Model
- 9.2.4. Market size and forecast, by Enterprise Size
- 9.2.5. Market size and forecast, by Application
- 9.2.6. Market size and forecast, by Industry Vertical
- 9.2.7. Market size and forecast, by country
  - 9.2.7.1. U.S.
  - 9.2.7.1.1. Key market trends, growth factors and opportunities
  - 9.2.7.1.2. Market size and forecast, by Type
  - 9.2.7.1.3. Market size and forecast, by Deployment Model
  - 9.2.7.1.4. Market size and forecast, by Enterprise Size
  - 9.2.7.1.5. Market size and forecast, by Application
  - 9.2.7.1.6. Market size and forecast, by Industry Vertical
  - 9.2.7.2. Canada
  - 9.2.7.2.1. Key market trends, growth factors and opportunities
  - 9.2.7.2.2. Market size and forecast, by Type
  - 9.2.7.2.3. Market size and forecast, by Deployment Model
  - 9.2.7.2.4. Market size and forecast, by Enterprise Size
  - 9.2.7.2.5. Market size and forecast, by Application
  - 9.2.7.2.6. Market size and forecast, by Industry Vertical
9.3. Europe
- 9.3.1. Key trends and opportunities
- 9.3.2. Market size and forecast, by Type
- 9.3.3. Market size and forecast, by Deployment Model
- 9.3.4. Market size and forecast, by Enterprise Size
- 9.3.5. Market size and forecast, by Application
- 9.3.6. Market size and forecast, by Industry Vertical
- 9.3.7. Market size and forecast, by country
  - 9.3.7.1. UK
  - 9.3.7.1.1. Key market trends, growth factors and opportunities
  - 9.3.7.1.2. Market size and forecast, by Type
  - 9.3.7.1.3. Market size and forecast, by Deployment Model
  - 9.3.7.1.4. Market size and forecast, by Enterprise Size
  - 9.3.7.1.5. Market size and forecast, by Application
  - 9.3.7.1.6. Market size and forecast, by Industry Vertical
  - 9.3.7.2. Germany
  - 9.3.7.2.1. Key market trends, growth factors and opportunities
  - 9.3.7.2.2. Market size and forecast, by Type
  - 9.3.7.2.3. Market size and forecast, by Deployment Model
  - 9.3.7.2.4. Market size and forecast, by Enterprise Size
  - 9.3.7.2.5. Market size and forecast, by Application
  - 9.3.7.2.6. Market size and forecast, by Industry Vertical
  - 9.3.7.3. France
  - 9.3.7.3.1. Key market trends, growth factors and opportunities
  - 9.3.7.3.2. Market size and forecast, by Type
  - 9.3.7.3.3. Market size and forecast, by Deployment Model
  - 9.3.7.3.4. Market size and forecast, by Enterprise Size
  - 9.3.7.3.5. Market size and forecast, by Application
  - 9.3.7.3.6. Market size and forecast, by Industry Vertical
  - 9.3.7.4. Italy
  - 9.3.7.4.1. Key market trends, growth factors and opportunities
  - 9.3.7.4.2. Market size and forecast, by Type
  - 9.3.7.4.3. Market size and forecast, by Deployment Model
  - 9.3.7.4.4. Market size and forecast, by Enterprise Size
  - 9.3.7.4.5. Market size and forecast, by Application
  - 9.3.7.4.6. Market size and forecast, by Industry Vertical
  - 9.3.7.5. Spain
  - 9.3.7.5.1. Key market trends, growth factors and opportunities
  - 9.3.7.5.2. Market size and forecast, by Type
  - 9.3.7.5.3. Market size and forecast, by Deployment Model
  - 9.3.7.5.4. Market size and forecast, by Enterprise Size
  - 9.3.7.5.5. Market size and forecast, by Application
  - 9.3.7.5.6. Market size and forecast, by Industry Vertical
  - 9.3.7.6. Rest of Europe
  - 9.3.7.6.1. Key market trends, growth factors and opportunities
  - 9.3.7.6.2. Market size and forecast, by Type
  - 9.3.7.6.3. Market size and forecast, by Deployment Model
  - 9.3.7.6.4. Market size and forecast, by Enterprise Size
  - 9.3.7.6.5. Market size and forecast, by Application
  - 9.3.7.6.6. Market size and forecast, by Industry Vertical
9.4. Asia-Pacific
- 9.4.1. Key trends and opportunities
- 9.4.2. Market size and forecast, by Type
- 9.4.3. Market size and forecast, by Deployment Model
- 9.4.4. Market size and forecast, by Enterprise Size
- 9.4.5. Market size and forecast, by Application
- 9.4.6. Market size and forecast, by Industry Vertical
- 9.4.7. Market size and forecast, by country
  - 9.4.7.1. China
  - 9.4.7.1.1. Key market trends, growth factors and opportunities
  - 9.4.7.1.2. Market size and forecast, by Type
  - 9.4.7.1.3. Market size and forecast, by Deployment Model
  - 9.4.7.1.4. Market size and forecast, by Enterprise Size
  - 9.4.7.1.5. Market size and forecast, by Application
  - 9.4.7.1.6. Market size and forecast, by Industry Vertical
  - 9.4.7.2. Japan
  - 9.4.7.2.1. Key market trends, growth factors and opportunities
  - 9.4.7.2.2. Market size and forecast, by Type
  - 9.4.7.2.3. Market size and forecast, by Deployment Model
  - 9.4.7.2.4. Market size and forecast, by Enterprise Size
  - 9.4.7.2.5. Market size and forecast, by Application
  - 9.4.7.2.6. Market size and forecast, by Industry Vertical
  - 9.4.7.3. South Korea
  - 9.4.7.3.1. Key market trends, growth factors and opportunities
  - 9.4.7.3.2. Market size and forecast, by Type
  - 9.4.7.3.3. Market size and forecast, by Deployment Model
  - 9.4.7.3.4. Market size and forecast, by Enterprise Size
  - 9.4.7.3.5. Market size and forecast, by Application
  - 9.4.7.3.6. Market size and forecast, by Industry Vertical
  - 9.4.7.4. India
  - 9.4.7.4.1. Key market trends, growth factors and opportunities
  - 9.4.7.4.2. Market size and forecast, by Type
  - 9.4.7.4.3. Market size and forecast, by Deployment Model
  - 9.4.7.4.4. Market size and forecast, by Enterprise Size
  - 9.4.7.4.5. Market size and forecast, by Application
  - 9.4.7.4.6. Market size and forecast, by Industry Vertical
  - 9.4.7.5. Australia
  - 9.4.7.5.1. Key market trends, growth factors and opportunities
  - 9.4.7.5.2. Market size and forecast, by Type
  - 9.4.7.5.3. Market size and forecast, by Deployment Model
  - 9.4.7.5.4. Market size and forecast, by Enterprise Size
  - 9.4.7.5.5. Market size and forecast, by Application
  - 9.4.7.5.6. Market size and forecast, by Industry Vertical
  - 9.4.7.6. Rest of Asia-Pacific
  - 9.4.7.6.1. Key market trends, growth factors and opportunities
  - 9.4.7.6.2. Market size and forecast, by Type
  - 9.4.7.6.3. Market size and forecast, by Deployment Model
  - 9.4.7.6.4. Market size and forecast, by Enterprise Size
  - 9.4.7.6.5. Market size and forecast, by Application
  - 9.4.7.6.6. Market size and forecast, by Industry Vertical
9.5. LAMEA
- 9.5.1. Key trends and opportunities
- 9.5.2. Market size and forecast, by Type
- 9.5.3. Market size and forecast, by Deployment Model
- 9.5.4. Market size and forecast, by Enterprise Size
- 9.5.5. Market size and forecast, by Application
- 9.5.6. Market size and forecast, by Industry Vertical
- 9.5.7. Market size and forecast, by country
  - 9.5.7.1. Latin America
  - 9.5.7.1.1. Key market trends, growth factors and opportunities
  - 9.5.7.1.2. Market size and forecast, by Type
  - 9.5.7.1.3. Market size and forecast, by Deployment Model
  - 9.5.7.1.4. Market size and forecast, by Enterprise Size
  - 9.5.7.1.5. Market size and forecast, by Application
  - 9.5.7.1.6. Market size and forecast, by Industry Vertical
  - 9.5.7.2. Middle East
  - 9.5.7.2.1. Key market trends, growth factors and opportunities
  - 9.5.7.2.2. Market size and forecast, by Type
  - 9.5.7.2.3. Market size and forecast, by Deployment Model
  - 9.5.7.2.4. Market size and forecast, by Enterprise Size
  - 9.5.7.2.5. Market size and forecast, by Application
  - 9.5.7.2.6. Market size and forecast, by Industry Vertical
  - 9.5.7.3. Africa
  - 9.5.7.3.1. Key market trends, growth factors and opportunities
  - 9.5.7.3.2. Market size and forecast, by Type
  - 9.5.7.3.3. Market size and forecast, by Deployment Model
  - 9.5.7.3.4. Market size and forecast, by Enterprise Size
  - 9.5.7.3.5. Market size and forecast, by Application
  - 9.5.7.3.6. Market size and forecast, by Industry Vertical

CHAPTER 10: COMPETITIVE LANDSCAPE

10.1. Introduction
10.2. Top winning strategies
10.3. Product Mapping of Top 10 Player
10.4. Competitive Dashboard
10.5. Competitive Heatmap
10.6. Top player positioning, 2021

CHAPTER 11: COMPANY PROFILES

11.1. Adobe
- 11.1.1. Company overview
- 11.1.2. Key Executives
- 11.1.3. Company snapshot
- 11.1.4. Operating business segments
- 11.1.5. Product portfolio
- 11.1.6. Business performance
- 11.1.7. Key strategic moves and developments
11.2. Amazon Web Services
- 11.2.1. Company overview
- 11.2.2. Key Executives
- 11.2.3. Company snapshot
- 11.2.4. Operating business segments
- 11.2.5. Product portfolio
- 11.2.6. Business performance
- 11.2.7. Key strategic moves and developments
11.3. Google LLC
- 11.3.1. Company overview
- 11.3.2. Key Executives
- 11.3.3. Company snapshot
- 11.3.4. Operating business segments
- 11.3.5. Product portfolio
- 11.3.6. Business performance
- 11.3.7. Key strategic moves and developments
11.4. Hewlett Packard Enterprise Development LP
- 11.4.1. Company overview
- 11.4.2. Key Executives
- 11.4.3. Company snapshot
- 11.4.4. Operating business segments
- 11.4.5. Product portfolio
- 11.4.6. Business performance
11.5. IBM Corporation
- 11.5.1. Company overview
- 11.5.2. Key Executives
- 11.5.3. Company snapshot
- 11.5.4. Operating business segments
- 11.5.5. Product portfolio
- 11.5.6. Business performance
- 11.5.7. Key strategic moves and developments
11.6. Intel Corporation
- 11.6.1. Company overview
- 11.6.2. Key Executives
- 11.6.3. Company snapshot
- 11.6.4. Operating business segments
- 11.6.5. Product portfolio
- 11.6.6. Business performance
- 11.6.7. Key strategic moves and developments
11.7. Microsoft Corporation
- 11.7.1. Company overview
- 11.7.2. Key Executives
- 11.7.3. Company snapshot
- 11.7.4. Operating business segments
- 11.7.5. Product portfolio
- 11.7.6. Business performance
- 11.7.7. Key strategic moves and developments
11.8. Oracle Corporation
- 11.8.1. Company overview
- 11.8.2. Key Executives
- 11.8.3. Company snapshot
- 11.8.4. Operating business segments
- 11.8.5. Product portfolio
- 11.8.6. Business performance
- 11.8.7. Key strategic moves and developments
11.9. Salesforce, Inc.
- 11.9.1. Company overview
- 11.9.2. Key Executives
- 11.9.3. Company snapshot
- 11.9.4. Operating business segments
- 11.9.5. Product portfolio
- 11.9.6. Business performance
- 11.9.7. Key strategic moves and developments
11.10. SAP SE
- 11.10.1. Company overview
- 11.10.2. Key Executives
- 11.10.3. Company snapshot
- 11.10.4. Operating business segments
- 11.10.5. Product portfolio
- 11.10.6. Business performance
- 11.10.7. Key strategic moves and developments