Recommendation Engine Market Report
RA05597
Recommendation Engine Market, by Type (Collaborative filtering, Content-based filtering, Hybrid recommendation), Application (Personalized campaigns and customer discovery, Product planning, Strategy and operations planning, Proactive asset management), End Use Vertical (Manufacturing, Healthcare, BFSI, Media and entertainment, Transportation, Others), Technology (Context aware, Geospatial aware), Deployment Mode (Cloud, On-premise): Global Opportunity Analysis and Industry Forecast, 2020-2027
The global recommendation engine market is estimated to surpass $24,500.4 million by 2027, exhibiting a CAGR of 40.4% from 2020 to 2027.
OFFERINGS OF THE REPORT
The report offers a clear view of the present scenario and future growth of the global recommendation engine market. The report delivers an exclusive analysis of global recommendation engine market by studying several factors of the market such as key segments, market dynamics, regional market circumstances, investment suitability, and foremost players operating in the market. Moreover, the report offers sharp insights into present and prospective trends & developments in the market.
Moreover, the report articulates key opportunities and factors fueling the market growth. The limitations and threatening factors that have the possibility to impede the market growth are described in the report.
The report reveals statistics by mentioning the predicted market size and forecast by assessing every segment of the global recommendation engine market. Regional market analysis of these segments is also provided in the report. The report segments the global recommendation engine market into four main geographical territories including Asia-Pacific, Europe, North America, and LAMEA. These regions are further sub-divided to offer an exhaustive update of the recommendation engine market across the respective regions.
In addition to these insights, the profiles of top players active in the global recommendation engine market are articulated in the report. An exhaustive summary of 10 foremost players functioning in the global recommendation engine market is delivered to comprehend their position and footmark in the market. The report also provides insights into some of the most recent advancements of the industry.
The report highlights various data points such as short summary of the company, chief company executives, company’s financial status and proceeds, key business strategies executed by company, advanced developments or initiatives taken by company to thrust their position and grasp a remarkable position in the global recommendation engine market. Moreover. Porter’s five forces analysis that explains the bargaining power of consumers and suppliers, competitive landscape, threats of new players, and development of substitutes in the market is also mentioned in the report.
KEY TAKEWAYS FROM THE REPORT
- The report offers the market statistics for the period from 2019 to 2027
- This report delivers inventions, trends, and innovative developments along with an exhaustive quantitative analysis of the recommendation engine market during the period of forecast
- The prevailing and forthcoming investment opportunities along with the strategic assessment of the global recommendation engine market growth is delivered
- The market size and forecasts are derived by scrutinizing market boomers and restraints, and key developments in the recommendation engine market
- Insights into foremost market players, Porter’s Five Analysis, and top winning business strategies is provided
- Growth tactics and initiatives taken by the top market players are outlined to understand the competitive scenario and strength of the market
KEY MARKET SEGMENTS
The report segments the global market into type ,application ,end use vertical ,technology ,deployment mode and region. (Varies depending on market)
- Type: Collaborative filtering, Content-based filtering, Hybrid recommendation
- Application: Personalized campaigns and customer discovery, Product planning, Strategy and operations planning, Proactive asset management
- End Use Vertical: Manufacturing, Healthcare, BFSI, Media and entertainment, Transportation, Others
- Technology: Context aware, Geospatial aware
- Deployment Mode: Cloud, On-premise
Region,
- North America
- U.S.
- Canada
- Mexico
- Europe
- Germany
- UK
- France
- Spain
- Italy
- Rest of Europe
- Asia-Pacific
- Japan
- China
- India
- Australia
- South Korea
- Rest of Asia-Pacific
- LAMEA
- Brazil
- Argentina
- Saudi Arabia
- South Africa
- UAE
- Rest of LAMEA
KEY PLAYERS AND BUSINESS STRATEGIES
The leading players of the global recommendation engine market are included in the report. They are Oracle, HPE, Google, Intel. The report summarizes the business overview including financial and annual performance, newest strategic plans & developments, product range, and SWOT analysis of all the players mentioned in the report.
1. IBM
2. SAP
3. Salesforce
4. HPE
5. Oracle
6. Google
7. Microsoft
8. Intel
9. AWS
10. Sentient Technologies
RESEARCH METHODOLOGY
The research report is drafted by in-house research analysts who sincerely examine the market scenario and form predictions. The market forecasts specified in the report have been derived using proven research approaches and analytical models & tools. The use of such pioneering and effective tools helps market analysts in analyzing, filtering, and providing highly precise statistics and estimates. The report provides an extensive research and analysis backed with factual data obtained from various interviews with market players, reliable and renowned sources of data, and regional intelligence. The insights delivered in the report can help stakeholders in understanding investment suitability and market players to seize opportunities for partnerships, investments, and advancements in the global market.
The research report is formulated by collecting different information, news, and statistics about the recommendation engine market. For instance, detailed interviews and discussions with veteran market players and stakeholders, including upstream and downstream members have been conducted to obtain reliable and realistic data. Even though primary research forms the crucial part of the research report, secondary research plays a significant role in backing the research outcomes. Nearly 5,900 product type literatures, business magazines, company annual reports, and other such significant documents of leading market players have been considered and studied for thorough understanding of the market scenario. In addition, truthful industry bulletins, medical newsletters, trade associations’ journals, and government websites have been explored for tracking down high-value market insights.
-
1. RESEARCH METHODOLOGY
1.1. Desk Research
1.2. Real time insights and validation
1.3. Forecast model
1.4. Assumptions and forecast parameters
1.5. Market size estimation
1.5.1. Top-down approach
1.5.2. Bottom-up approach
-
2. REPORT SCOPE
2.1. Market definition
2.2. Key objectives of the study
2.3. Report overview
2.4. Market segmentation
2.5. Overview of the impact of COVID-19 on Global Recommendation Engine Market
-
3. EXECUTIVE SUMMARY
-
4. MARKET OVERVIEW
4.1. Introduction
4.2. Growth impact forces
4.2.1. Drivers
4.2.2. Restraints
4.2.3. Opportunities
4.3. Market value chain analysis
4.3.1. List of raw material suppliers
4.3.2. List of manufacturers
4.3.3. List of distributors
4.4. Innovation & sustainability matrices
4.4.1. Technology matrix
4.4.2. Regulatory matrix
4.5. Porter’s five forces analysis
4.5.1. Bargaining power of suppliers
4.5.2. Bargaining power of consumers
4.5.3. Threat of substitutes
4.5.4. Threat of new entrants
4.5.5. Competitive rivalry intensity
4.6. PESTLE analysis
4.6.1. Political
4.6.2. Economical
4.6.3. Social
4.6.4. Technological
4.6.5. Environmental
4.7. Impact of COVID-19 on Recommendation Engine Market
4.7.1. Pre-covid market scenario
4.7.2. Post-covid market scenario
-
5. Recommendation Engine Market, By Technology
5.1. Overview
5.2 Collaborative filtering
5.2.1 Definition, key trends, growth factors, and opportunities
5.2.2 Market size analysis, by region, 2020-2027
5.2.3 Market share analysis, by country, 2020-2027
5.3 Content-based filtering
5.3.1 Definition, key trends, growth factors, and opportunities
5.3.2 Market size analysis, by region, 2020-2027
5.3.3 Market share analysis, by country, 2020-2027
5.4 Hybrid recommendation
5.4.1 Definition, key trends, growth factors, and opportunities
5.4.2 Market size analysis, by region, 2020-2027
5.4.3 Market share analysis, by country, 2020-2027
5.5 Research Dive Exclusive Insights
5.5.1 Market attractiveness
5.5.2 Competition heatmap
-
6. Recommendation Engine Market, By Component
6.1. Overview
6.2 Personalized campaigns and customer discovery
6.2.1 Definition, key trends, growth factors, and opportunities
6.2.2 Market size analysis, by region, 2020-2027
6.2.3 Market share analysis, by country, 2020-2027
6.3 Product planning
6.3.1 Definition, key trends, growth factors, and opportunities
6.3.2 Market size analysis, by region, 2020-2027
6.3.3 Market share analysis, by country, 2020-2027
6.4 Strategy and operations planning
6.4.1 Definition, key trends, growth factors, and opportunities
6.4.2 Market size analysis, by region, 2020-2027
6.4.3 Market share analysis, by country, 2020-2027
6.5 Proactive asset management
6.5.1 Definition, key trends, growth factors, and opportunities
6.5.2 Market size analysis, by region, 2020-2027
6.5.3 Market share analysis, by country, 2020-2027
6.6 Research Dive Exclusive Insights
6.6.1 Market attractiveness
6.6.2 Competition heatmap
-
7. Recommendation Engine Market, By Type
7.1. Overview
7.2 Manufacturing
7.2.1 Definition, key trends, growth factors, and opportunities
7.2.2 Market size analysis, by region, 2020-2027
7.2.3 Market share analysis, by country, 2020-2027
7.3 Healthcare
7.3.1 Definition, key trends, growth factors, and opportunities
7.3.2 Market size analysis, by region, 2020-2027
7.3.3 Market share analysis, by country, 2020-2027
7.4 BFSI
7.4.1 Definition, key trends, growth factors, and opportunities
7.4.2 Market size analysis, by region, 2020-2027
7.4.3 Market share analysis, by country, 2020-2027
7.5 Media and entertainment
7.5.1 Definition, key trends, growth factors, and opportunities
7.5.2 Market size analysis, by region, 2020-2027
7.5.3 Market share analysis, by country, 2020-2027
7.6 Transportation
7.6.1 Definition, key trends, growth factors, and opportunities
7.6.2 Market size analysis, by region, 2020-2027
7.6.3 Market share analysis, by country, 2020-2027
7.7 Others
7.7.1 Definition, key trends, growth factors, and opportunities
7.7.2 Market size analysis, by region, 2020-2027
7.7.3 Market share analysis, by country, 2020-2027
7.8 Research Dive Exclusive Insights
7.8.1 Market attractiveness
7.8.2 Competition heatmap
-
8. Recommendation Engine Market, By Spectral Range
8.1. Overview
8.2 Context aware
8.2.1 Definition, key trends, growth factors, and opportunities
8.2.2 Market size analysis, by region, 2020-2027
8.2.3 Market share analysis, by country, 2020-2027
8.3 Geospatial aware
8.3.1 Definition, key trends, growth factors, and opportunities
8.3.2 Market size analysis, by region, 2020-2027
8.3.3 Market share analysis, by country, 2020-2027
8.4 Research Dive Exclusive Insights
8.4.1 Market attractiveness
8.4.2 Competition heatmap
-
9. Recommendation Engine Market, By Vertical
9.1. Overview
9.2 Cloud
9.2.1 Definition, key trends, growth factors, and opportunities
9.2.2 Market size analysis, by region, 2020-2027
9.2.3 Market share analysis, by country, 2020-2027
9.3 On-premise
9.3.1 Definition, key trends, growth factors, and opportunities
9.3.2 Market size analysis, by region, 2020-2027
9.3.3 Market share analysis, by country, 2020-2027
9.4 Research Dive Exclusive Insights
9.4.1 Market attractiveness
9.4.2 Competition heatmap
10. Recommendation Engine Market, By Region
10.1 North America
10.1.1 U.S
10.1.1.1 Market size analysis, By Technology, 2020-2027
10.1.1.2 Market size analysis, By Component, 2020-2027
10.1.1.3 Market size analysis, By Type, 2020-2027
10.1.1.4 Market size analysis, By Spectral Range, 2020-2027
10.1.1.5 Market size analysis, By Vertical, 2020-2027
10.1.2 Canada
10.1.2.1 Market size analysis, By Technology, 2020-2027
10.1.2.2 Market size analysis, By Component, 2020-2027
10.1.2.3 Market size analysis, By Type, 2020-2027
10.1.2.4 Market size analysis, By Spectral Range, 2020-2027
10.1.2.5 Market size analysis, By Vertical, 2020-2027
10.1.3 Mexico
10.1.3.1 Market size analysis, By Technology, 2020-2027
10.1.3.2 Market size analysis, By Component, 2020-2027
10.1.3.3 Market size analysis, By Type, 2020-2027
10.1.3.4 Market size analysis, By Spectral Range, 2020-2027
10.1.3.5 Market size analysis, By Vertical, 2020-2027
10.1.4 Research Dive Exclusive Insights
10.1.4.1 Market attractiveness
10.1.4.2 Competition heatmap
10.2 Europe
10.2.1 Germany
10.2.1.1 Market size analysis, By Technology, 2020-2027
10.2.1.2 Market size analysis, By Component, 2020-2027
10.2.1.3 Market size analysis, By Type, 2020-2027
10.2.1.4 Market size analysis, By Spectral Range, 2020-2027
10.2.1.5 Market size analysis, By Vertical, 2020-2027
10.2.2 UK
10.2.2.1 Market size analysis, By Technology, 2020-2027
10.2.2.2 Market size analysis, By Component, 2020-2027
10.2.2.3 Market size analysis, By Type, 2020-2027
10.2.2.4 Market size analysis, By Spectral Range, 2020-2027
10.2.2.5 Market size analysis, By Vertical, 2020-2027
10.2.3 France
10.2.3.1 Market size analysis, By Technology, 2020-2027
10.2.3.2 Market size analysis, By Component, 2020-2027
10.2.3.3 Market size analysis, By Type, 2020-2027
10.2.3.4 Market size analysis, By Spectral Range, 2020-2027
10.2.3.5 Market size analysis, By Vertical, 2020-2027
10.2.4 Spain
10.2.4.1 Market size analysis, By Technology, 2020-2027
10.2.4.2 Market size analysis, By Component, 2020-2027
10.2.4.3 Market size analysis, By Type, 2020-2027
10.2.4.4 Market size analysis, By Spectral Range, 2020-2027
10.2.4.5 Market size analysis, By Vertical, 2020-2027
10.2.5 Italy
10.2.5.1 Market size analysis, By Technology, 2020-2027
10.2.5.2 Market size analysis, By Component, 2020-2027
10.2.5.3 Market size analysis, By Type, 2020-2027
10.2.5.4 Market size analysis, By Spectral Range, 2020-2027
10.2.5.5 Market size analysis, By Vertical, 2020-2027
10.2.6 Rest of Europe
10.2.6.1 Market size analysis, By Technology, 2020-2027
10.2.6.2 Market size analysis, By Component, 2020-2027
10.2.6.3 Market size analysis, By Type, 2020-2027
10.2.6.4 Market size analysis, By Spectral Range, 2020-2027
10.2.6.5 Market size analysis, By Vertical, 2020-2027
10.2.7 Research Dive Exclusive Insights
10.2.7.1 Market attractiveness
10.2.7.2 Competition heatmap
10.3 Asia-Pacific
10.3.1 China
10.3.1.1 Market size analysis, By Technology, 2020-2027
10.3.1.2 Market size analysis, By Component, 2020-2027
10.3.1.3 Market size analysis, By Type, 2020-2027
10.3.1.4 Market size analysis, By Spectral Range, 2020-2027
10.3.1.5 Market size analysis, By Vertical, 2020-2027
10.3.2 Japan
10.3.2.1 Market size analysis, By Technology, 2020-2027
10.3.2.2 Market size analysis, By Component, 2020-2027
10.3.2.3 Market size analysis, By Type, 2020-2027
10.3.2.4 Market size analysis, By Spectral Range, 2020-2027
10.3.2.5 Market size analysis, By Vertical, 2020-2027
10.3.3 India
10.3.3.1 Market size analysis, By Technology, 2020-2027
10.3.3.2 Market size analysis, By Component, 2020-2027
10.3.3.3 Market size analysis, By Type, 2020-2027
10.3.3.4 Market size analysis, By Spectral Range, 2020-2027
10.3.3.5 Market size analysis, By Vertical, 2020-2027
10.3.4 Australia
10.3.4.1 Market size analysis, By Technology, 2020-2027
10.3.4.2 Market size analysis, By Component, 2020-2027
10.3.4.3 Market size analysis, By Type, 2020-2027
10.3.4.4 Market size analysis, By Spectral Range, 2020-2027
10.3.4.5 Market size analysis, By Vertical, 2020-2027
10.3.5 South Korea
10.3.5.1 Market size analysis, By Technology, 2020-2027
10.3.5.2 Market size analysis, By Component, 2020-2027
10.3.5.3 Market size analysis, By Type, 2020-2027
10.3.5.4 Market size analysis, By Spectral Range, 2020-2027
10.3.5.5 Market size analysis, By Vertical, 2020-2027
10.3.6 Rest of Asia-Pacific
10.3.6.1 Market size analysis, By Technology, 2020-2027
10.3.6.2 Market size analysis, By Component, 2020-2027
10.3.6.3 Market size analysis, By Type, 2020-2027
10.3.6.4 Market size analysis, By Spectral Range, 2020-2027
10.3.6.5 Market size analysis, By Vertical, 2020-2027
10.3.7 Research Dive Exclusive Insights
10.3.7.1 Market attractiveness
10.3.7.2 Competition heatmap
10.4 LAMEA
10.4.1 Brazil
10.4.1.1 Market size analysis, By Technology, 2020-2027
10.4.1.2 Market size analysis, By Component, 2020-2027
10.4.1.3 Market size analysis, By Type, 2020-2027
10.4.1.4 Market size analysis, By Spectral Range, 2020-2027
10.4.1.5 Market size analysis, By Vertical, 2020-2027
10.4.2 Saudi Arabia
10.4.2.1 Market size analysis, By Technology, 2020-2027
10.4.2.2 Market size analysis, By Component, 2020-2027
10.4.2.3 Market size analysis, By Type, 2020-2027
10.4.2.4 Market size analysis, By Spectral Range, 2020-2027
10.4.2.5 Market size analysis, By Vertical, 2020-2027
10.4.3 UAE
10.4.3.1 Market size analysis, By Technology, 2020-2027
10.4.3.2 Market size analysis, By Component, 2020-2027
10.4.3.3 Market size analysis, By Type, 2020-2027
10.4.3.4 Market size analysis, By Spectral Range, 2020-2027
10.4.3.5 Market size analysis, By Vertical, 2020-2027
10.4.4 South Africa
10.4.4.1 Market size analysis, By Technology, 2020-2027
10.4.4.2 Market size analysis, By Component, 2020-2027
10.4.4.3 Market size analysis, By Type, 2020-2027
10.4.4.4 Market size analysis, By Spectral Range, 2020-2027
10.4.4.5 Market size analysis, By Vertical, 2020-2027
10.4.5 Rest of LAMEA
10.4.5.1 Market size analysis, By Technology, 2020-2027
10.4.5.2 Market size analysis, By Component, 2020-2027
10.4.5.3 Market size analysis, By Type, 2020-2027
10.4.5.4 Market size analysis, By Spectral Range, 2020-2027
10.4.5.5 Market size analysis, By Vertical, 2020-2027
10.4.6 Research Dive Exclusive Insights
10.4.6.1 Market attractiveness
10.4.6.2 Competition heatmap
11. Competitive Landscape
11.1 Top winning strategies, 2020-2027
11.1.1 By strategy
11.1.2 By year
11.2 Strategic overview
11.3 Market share analysis, 2020-2027
12. Company Profiles
12.1 IBM
12.1.1 Overview
12.1.2 Business segments
12.1.3 Product portfolio
12.1.4 Financial performance
12.1.5 Recent developments
12.1.6 SWOT analysis
12.2 SAP
12.2.1 Overview
12.2.2 Business segments
12.2.3 Product portfolio
12.2.4 Financial performance
12.2.5 Recent developments
12.2.6 SWOT analysis
12.3 Salesforce
12.3.1 Overview
12.3.2 Business segments
12.3.3 Product portfolio
12.3.4 Financial performance
12.3.5 Recent developments
12.3.6 SWOT analysis
12.4 HPE
12.4.1 Overview
12.4.2 Business segments
12.4.3 Product portfolio
12.4.4 Financial performance
12.4.5 Recent developments
12.4.6 SWOT analysis
12.5 Oracle
12.5.1 Overview
12.5.2 Business segments
12.5.3 Product portfolio
12.5.4 Financial performance
12.5.5 Recent developments
12.5.6 SWOT analysis
12.6 Google
12.6.1 Overview
12.6.2 Business segments
12.6.3 Product portfolio
12.6.4 Financial performance
12.6.5 Recent developments
12.6.6 SWOT analysis
12.7 Microsoft
12.7.1 Overview
12.7.2 Business segments
12.7.3 Product portfolio
12.7.4 Financial performance
12.7.5 Recent developments
12.7.6 SWOT analysis
12.8 Intel
12.8.1 Overview
12.8.2 Business segments
12.8.3 Product portfolio
12.8.4 Financial performance
12.8.5 Recent developments
12.8.6 SWOT analysis
12.9 AWS
12.9.1 Overview
12.9.2 Business segments
12.9.3 Product portfolio
12.9.4 Financial performance
12.9.5 Recent developments
12.9.6 SWOT analysis
12.10 Sentient Technologies
12.10.1 Overview
12.10.2 Business segments
12.10.3 Product portfolio
12.10.4 Financial performance
12.10.5 Recent developments
12.10.6 SWOT analysis
Personalize this research
- Triangulate with your own data
- Request your format and definition
- Get a deeper dive on a specific application, geography, customer or competitor
- + 1-888-961-4454 Toll - Free
- support@researchdive.com
