Recommendation Engine Market, By Technology (Context aware, Geospatial aware), Application (Personalized campaigns and customer discovery, Product planning), Type, Deployment Mode, End-user, Region - Global Forecast to 2028
The Recommendation Engine Market size is estimated to grow from USD XX Billion in 2021 to USD XX Billion by 2028, growing at a CAGR of XX% during the forecast year from 2021 to 2028.
The latest report on Recommendation Engine Market understands market size estimates, forecasts, market shares, competition analysis, along with industry trends of Recommendation Engine with emphasis on market timelines and technology roadmaps analysis.
The Recommendation Engine market is segmented by Technology, Application, Type, Deployment Mode, End-user, Region. The research covers the current and historic Recommendation Engine market size and its growth trend with company outline of key players: IBM (US), SAP (Germany), Salesforce (US), HPE (US), Oracle (US), Google (US), Microsoft (US), Intel (US), AWS (US), and Sentient Technologies (US).
Analysis of the global market with special focus on high growth application in each vertical and fast-growing market segments. It includes detailed competitive landscape with identification of the key players with respect to each type of market, in-depth market share analysis with individual revenue, market shares, and top players rankings. Impact analysis of the market dynamics with factors currently driving and restraining the growth of the market, along with their impact in the short, medium, and long-term landscapes. Competitive intelligence from the company profiles, key player strategies, game-changing developments such as product launches and acquisitions.
The objective of this study is to identify the market opportunities and estimate market size by segments and countries for last few years and to forecast the values to the next five years. The report incorporates both the qualitative and quantitative aspects of the industry with respect to each of the regions and countries involved in the study. The report also covers qualitative analysis on the market, by incorporating complete pricing and cost analysis of components & products, Porter’s analysis and PEST (Political, Economic, Social & Technological factor) analysis of the market. The report also profiles all major companies active in this field.
Market Analysis and Insights: Recommendation Engine Market Analysis & Insights
Recommendation Engine Market Scope and Market Size
Recommendation Engine market is segmented by Technology, Application, Type, Deployment Mode, End-user, Region. Players, stakeholders, and other participants in the global Recommendation Engine market will be able to gain a strong position as this report will surely benefit their marketing strategies. The market analysis focuses on revenue and forecast by region/countries and by application in terms of revenue and forecast for the period 2022-2028.
Report further studies the market development status and future and Recommendation Engine Market trend across the world. Also, it splits Recommendation Engine market segmentation by Technology, Application, Type, Deployment Mode, End-user, Region to deep dive research and reveals market profile and prospects.
Recommendation Engine Market Segments Covered in the Report
By Technology:
Context aware
Geospatial aware
By Application:
Personalized campaigns and customer discovery
Product planning
Strategy and operations planning
Proactive asset management
By Type:
Collaborative filtering
Content-based filtering
Hybrid recommendation
By Deployment Mode:
Cloud
On-premises
By End-user:
Manufacturing
Healthcare
BFSI
Media and entertainment
Transportation
Others (telecom, energy and utilities, manufacturing, and education)
By Region
North America
US
Canada
Europe
UK
Germany
Franc
Rest of Europe
Asia-Pacific (APAC)
China
Japan
India
Rest of APAC
Rest of the World (RoW)
Middle East
Africa
South America
Reason to purchase this Recommendation Engine Market Report:
Determine prospective investment areas based on a detailed trend analysis of the global Recommendation Engine Market over the next years.
Gain an in-depth understanding of the underlying factors driving demand for different and Recommendation Engine market segments in the top spending countries across the world and identify the opportunities offered by each of them.
Strengthen your understanding of the market in terms of demand drivers, industry trends, and the latest technological developments, among others.
Identify the major channels that are driving the global Recommendation Engine market, providing a clear picture of future opportunities that can be tapped, resulting in revenue expansion.
Channelize resources by focusing on the ongoing programs that are being undertaken by the different countries within the global market.
Make correct business decisions based on a thorough analysis of the total competitive landscape of the sector with detailed profiles of the top market providers around the world which include information about their products, alliances, recent contract wins and financial analysis wherever available.
The latest report on Recommendation Engine Market understands market size estimates, forecasts, market shares, competition analysis, along with industry trends of Recommendation Engine with emphasis on market timelines and technology roadmaps analysis.
The Recommendation Engine market is segmented by Technology, Application, Type, Deployment Mode, End-user, Region. The research covers the current and historic Recommendation Engine market size and its growth trend with company outline of key players: IBM (US), SAP (Germany), Salesforce (US), HPE (US), Oracle (US), Google (US), Microsoft (US), Intel (US), AWS (US), and Sentient Technologies (US).
Analysis of the global market with special focus on high growth application in each vertical and fast-growing market segments. It includes detailed competitive landscape with identification of the key players with respect to each type of market, in-depth market share analysis with individual revenue, market shares, and top players rankings. Impact analysis of the market dynamics with factors currently driving and restraining the growth of the market, along with their impact in the short, medium, and long-term landscapes. Competitive intelligence from the company profiles, key player strategies, game-changing developments such as product launches and acquisitions.
The objective of this study is to identify the market opportunities and estimate market size by segments and countries for last few years and to forecast the values to the next five years. The report incorporates both the qualitative and quantitative aspects of the industry with respect to each of the regions and countries involved in the study. The report also covers qualitative analysis on the market, by incorporating complete pricing and cost analysis of components & products, Porter’s analysis and PEST (Political, Economic, Social & Technological factor) analysis of the market. The report also profiles all major companies active in this field.
Market Analysis and Insights: Recommendation Engine Market Analysis & Insights
Recommendation Engine Market Scope and Market Size
Recommendation Engine market is segmented by Technology, Application, Type, Deployment Mode, End-user, Region. Players, stakeholders, and other participants in the global Recommendation Engine market will be able to gain a strong position as this report will surely benefit their marketing strategies. The market analysis focuses on revenue and forecast by region/countries and by application in terms of revenue and forecast for the period 2022-2028.
Report further studies the market development status and future and Recommendation Engine Market trend across the world. Also, it splits Recommendation Engine market segmentation by Technology, Application, Type, Deployment Mode, End-user, Region to deep dive research and reveals market profile and prospects.
Recommendation Engine Market Segments Covered in the Report
By Technology:
Context aware
Geospatial aware
By Application:
Personalized campaigns and customer discovery
Product planning
Strategy and operations planning
Proactive asset management
By Type:
Collaborative filtering
Content-based filtering
Hybrid recommendation
By Deployment Mode:
Cloud
On-premises
By End-user:
Manufacturing
Healthcare
BFSI
Media and entertainment
Transportation
Others (telecom, energy and utilities, manufacturing, and education)
By Region
North America
US
Canada
Europe
UK
Germany
Franc
Rest of Europe
Asia-Pacific (APAC)
China
Japan
India
Rest of APAC
Rest of the World (RoW)
Middle East
Africa
South America
Reason to purchase this Recommendation Engine Market Report:
Determine prospective investment areas based on a detailed trend analysis of the global Recommendation Engine Market over the next years.
Gain an in-depth understanding of the underlying factors driving demand for different and Recommendation Engine market segments in the top spending countries across the world and identify the opportunities offered by each of them.
Strengthen your understanding of the market in terms of demand drivers, industry trends, and the latest technological developments, among others.
Identify the major channels that are driving the global Recommendation Engine market, providing a clear picture of future opportunities that can be tapped, resulting in revenue expansion.
Channelize resources by focusing on the ongoing programs that are being undertaken by the different countries within the global market.
Make correct business decisions based on a thorough analysis of the total competitive landscape of the sector with detailed profiles of the top market providers around the world which include information about their products, alliances, recent contract wins and financial analysis wherever available.
1. EXECUTIVE SUMMARY
2. INTRODUCTION
2.1. Key Takeaways
2.2. Report Description
2.3. Market Scope & Definition
2.4. Stakeholders
2.5. Research Methodology
2.5.1. Market Size
2.5.2. Key Data Points From Primary Sources
2.5.3. Key Data Points From Secondary Sources
2.5.4. List Of Primary Sources
2.5.5. List Of Secondary Sources
3. MARKET OVERVIEW
3.1. Industry Segmentation
3.2. Market Trends Analysis
3.3. Major Funding & Investments
3.4. Market Dynamics
3.4.1. Drivers
3.4.2. Restraints
3.4.3. Opportunities
3.5. Value Chain Analysis
3.6. Pricing Analysis
4. IMPACT OF COVID-19 ON RECOMMENDATION ENGINE MARKET
4.1. Impact Of Covid-19 On Market, By Technology
4.2. Impact Of Covid-19 On Market, By Application
4.3. Impact Of Covid-19 On Market, By Type
4.4. Impact Of Covid-19 On Market, By Deployment Mode
4.5. Impact Of Covid-19 On Market, By End-user
4.6. Impact of Covid-19 On Market, By Region
5. RECOMMENDATION ENGINE MARKET, BY TECHNOLOGY
5.1. Introduction
5.2. Context aware
5.3. Geospatial aware
6. RECOMMENDATION ENGINE MARKET, BY APPLICATION
6.1. Introduction
6.2. Personalized campaigns and customer discovery
6.3. Product planning
6.4. Strategy and operations planning
6.5. Proactive asset management
7. RECOMMENDATION ENGINE MARKET, BY TYPE
7.1. Introduction
7.2. Collaborative filtering
7.3. Content-based filtering
7.4. Hybrid recommendation
8. RECOMMENDATION ENGINE MARKET, BY DEPLOYMENT MODE
8.1. Introduction
8.2. Cloud
8.3. On-premises
9. RECOMMENDATION ENGINE MARKET, BY END-USER
9.1. Introduction
9.2. Manufacturing
9.3. Healthcare
9.4. BFSI
9.5. Media and entertainment
9.6. Transportation
9.7. Others (telecom, energy and utilities, manufacturing, and education)
10. RECOMMENDATION ENGINE MARKET, BY GEOGRAPHY
10.1. Introduction
10.2. North America
10.2.1. U.S.
10.2.2. Canada
10.3. Europe
10.3.1. Germany
10.3.2. U.K.
10.3.3. France
10.3.4. Rest of Europe
10.4. Asia Pacific
10.4.1. China
10.4.2. Japan
10.4.3. India
10.4.4. Rest Of Asia Pacific
10.5. Rest of the World
10.5.1. Middle East
10.5.2. Africa
10.5.3. Latin America
11. COMPETITIVE ANALYSIS
11.1. Introduction
11.2. Top Companies Ranking
11.3. Market Share Analysis
11.4. Recent Developments
11.4.1. New Product Launch
11.4.2. Mergers & Acquisitions
11.4.3. Collaborations, Partnerships & Agreements
11.4.4. Rewards & Recognition
12. COMPANY PROFILES
12.1. IBM (US)
12.2. SAP (Germany)
12.3. Salesforce (US)
12.4. HPE (US)
12.5. Oracle (US)
12.6. Google (US)
12.7. Microsoft (US)
12.8. Intel (US)
12.9. AWS (US)
12.10. Sentient Technologies (US)
2. INTRODUCTION
2.1. Key Takeaways
2.2. Report Description
2.3. Market Scope & Definition
2.4. Stakeholders
2.5. Research Methodology
2.5.1. Market Size
2.5.2. Key Data Points From Primary Sources
2.5.3. Key Data Points From Secondary Sources
2.5.4. List Of Primary Sources
2.5.5. List Of Secondary Sources
3. MARKET OVERVIEW
3.1. Industry Segmentation
3.2. Market Trends Analysis
3.3. Major Funding & Investments
3.4. Market Dynamics
3.4.1. Drivers
3.4.2. Restraints
3.4.3. Opportunities
3.5. Value Chain Analysis
3.6. Pricing Analysis
4. IMPACT OF COVID-19 ON RECOMMENDATION ENGINE MARKET
4.1. Impact Of Covid-19 On Market, By Technology
4.2. Impact Of Covid-19 On Market, By Application
4.3. Impact Of Covid-19 On Market, By Type
4.4. Impact Of Covid-19 On Market, By Deployment Mode
4.5. Impact Of Covid-19 On Market, By End-user
4.6. Impact of Covid-19 On Market, By Region
5. RECOMMENDATION ENGINE MARKET, BY TECHNOLOGY
5.1. Introduction
5.2. Context aware
5.3. Geospatial aware
6. RECOMMENDATION ENGINE MARKET, BY APPLICATION
6.1. Introduction
6.2. Personalized campaigns and customer discovery
6.3. Product planning
6.4. Strategy and operations planning
6.5. Proactive asset management
7. RECOMMENDATION ENGINE MARKET, BY TYPE
7.1. Introduction
7.2. Collaborative filtering
7.3. Content-based filtering
7.4. Hybrid recommendation
8. RECOMMENDATION ENGINE MARKET, BY DEPLOYMENT MODE
8.1. Introduction
8.2. Cloud
8.3. On-premises
9. RECOMMENDATION ENGINE MARKET, BY END-USER
9.1. Introduction
9.2. Manufacturing
9.3. Healthcare
9.4. BFSI
9.5. Media and entertainment
9.6. Transportation
9.7. Others (telecom, energy and utilities, manufacturing, and education)
10. RECOMMENDATION ENGINE MARKET, BY GEOGRAPHY
10.1. Introduction
10.2. North America
10.2.1. U.S.
10.2.2. Canada
10.3. Europe
10.3.1. Germany
10.3.2. U.K.
10.3.3. France
10.3.4. Rest of Europe
10.4. Asia Pacific
10.4.1. China
10.4.2. Japan
10.4.3. India
10.4.4. Rest Of Asia Pacific
10.5. Rest of the World
10.5.1. Middle East
10.5.2. Africa
10.5.3. Latin America
11. COMPETITIVE ANALYSIS
11.1. Introduction
11.2. Top Companies Ranking
11.3. Market Share Analysis
11.4. Recent Developments
11.4.1. New Product Launch
11.4.2. Mergers & Acquisitions
11.4.3. Collaborations, Partnerships & Agreements
11.4.4. Rewards & Recognition
12. COMPANY PROFILES
12.1. IBM (US)
12.2. SAP (Germany)
12.3. Salesforce (US)
12.4. HPE (US)
12.5. Oracle (US)
12.6. Google (US)
12.7. Microsoft (US)
12.8. Intel (US)
12.9. AWS (US)
12.10. Sentient Technologies (US)
