Global Recommendation Engine Market Growth (Status and Outlook) 2024-2030

Publication ID:

LPI12247684

Publication Date:

December 12, 2024

Pages:

112

Publisher:

LPI

Countries:

Global [1]

USD 3,660.00

Internet [2]

Computing & Electronics [3]

Description:

The global Recommendation Engine market size was valued at US$ 2091.8 million in 2023. With growing demand in downstream market, the Recommendation Engine is forecast to a readjusted size of US$ 16810 million by 2030 with a CAGR of 34.7% during review period.
The research report highlights the growth potential of the global Recommendation Engine market. Recommendation Engine are expected to show stable growth in the future market. However, product differentiation, reducing costs, and supply chain optimization remain crucial for the widespread adoption of Recommendation Engine. Market players need to invest in research and development, forge strategic partnerships, and align their offerings with evolving consumer preferences to capitalize on the immense opportunities presented by the Recommendation Engine market.
Key Features:
The report on Recommendation Engine market reflects various aspects and provide valuable insights into the industry.
Market Size and Growth: The research report provide an overview of the current size and growth of the Recommendation Engine market. It may include historical data, market segmentation by Type (e.g., Collaborative Filtering, Content-based Filtering), and regional breakdowns.
Market Drivers and Challenges: The report can identify and analyse the factors driving the growth of the Recommendation Engine market, such as government regulations, environmental concerns, technological advancements, and changing consumer preferences. It can also highlight the challenges faced by the industry, including infrastructure limitations, range anxiety, and high upfront costs.
Competitive Landscape: The research report provides analysis of the competitive landscape within the Recommendation Engine market. It includes profiles of key players, their market share, strategies, and product offerings. The report can also highlight emerging players and their potential impact on the market.
Technological Developments: The research report can delve into the latest technological developments in the Recommendation Engine industry. This include advancements in Recommendation Engine technology, Recommendation Engine new entrants, Recommendation Engine new investment, and other innovations that are shaping the future of Recommendation Engine.
Downstream Procumbent Preference: The report can shed light on customer procumbent behaviour and adoption trends in the Recommendation Engine market. It includes factors influencing customer ' purchasing decisions, preferences for Recommendation Engine product.
Government Policies and Incentives: The research report analyse the impact of government policies and incentives on the Recommendation Engine market. This may include an assessment of regulatory frameworks, subsidies, tax incentives, and other measures aimed at promoting Recommendation Engine market. The report also evaluates the effectiveness of these policies in driving market growth.
Environmental Impact and Sustainability: The research report assess the environmental impact and sustainability aspects of the Recommendation Engine market.
Market Forecasts and Future Outlook: Based on the analysis conducted, the research report provide market forecasts and outlook for the Recommendation Engine industry. This includes projections of market size, growth rates, regional trends, and predictions on technological advancements and policy developments.
Recommendations and Opportunities: The report conclude with recommendations for industry stakeholders, policymakers, and investors. It highlights potential opportunities for market players to capitalize on emerging trends, overcome challenges, and contribute to the growth and development of the Recommendation Engine market.
Market Segmentation:
Recommendation Engine market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.
Segmentation by type
Collaborative Filtering
Content-based Filtering
Hybrid Recommendation
Segmentation by application
Manufacturing
Healthcare
BFSI
Media and entertainment
Transportation
Others
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
IBM
Google
AWS
Microsoft
Salesforce
Sentient Technologies
HPE
Oracle
Intel
SAP
Fuzzy.AI
Infinite Analytics

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Scope of the Report
1.1 Market Introduction
1.2 Years Considered
1.3 Research Objectives
1.4 Market Research Methodology
1.5 Research Process and Data Source
1.6 Economic Indicators
1.7 Currency Considered
1.8 Market Estimation Caveats
2 Executive Summary
2.1 World Market Overview
2.1.1 Global Recommendation Engine Market Size 2019-2030
2.1.2 Recommendation Engine Market Size CAGR by Region 2019 VS 2023 VS 2030
2.2 Recommendation Engine Segment by Type
2.2.1 Collaborative Filtering
2.2.2 Content-based Filtering
2.2.3 Hybrid Recommendation
2.3 Recommendation Engine Market Size by Type
2.3.1 Recommendation Engine Market Size CAGR by Type (2019 VS 2023 VS 2030)
2.3.2 Global Recommendation Engine Market Size Market Share by Type (2019-2024)
2.4 Recommendation Engine Segment by Application
2.4.1 Manufacturing
2.4.2 Healthcare
2.4.3 BFSI
2.4.4 Media and entertainment
2.4.5 Transportation
2.4.6 Others
2.5 Recommendation Engine Market Size by Application
2.5.1 Recommendation Engine Market Size CAGR by Application (2019 VS 2023 VS 2030)
2.5.2 Global Recommendation Engine Market Size Market Share by Application (2019-2024)
3 Recommendation Engine Market Size by Player
3.1 Recommendation Engine Market Size Market Share by Players
3.1.1 Global Recommendation Engine Revenue by Players (2019-2024)
3.1.2 Global Recommendation Engine Revenue Market Share by Players (2019-2024)
3.2 Global Recommendation Engine Key Players Head office and Products Offered
3.3 Market Concentration Rate Analysis
3.3.1 Competition Landscape Analysis
3.3.2 Concentration Ratio (CR3, CR5 and CR10) & (2022-2024)
3.4 New Products and Potential Entrants
3.5 Mergers & Acquisitions, Expansion
4 Recommendation Engine by Regions
4.1 Recommendation Engine Market Size by Regions (2019-2024)
4.2 Americas Recommendation Engine Market Size Growth (2019-2024)
4.3 APAC Recommendation Engine Market Size Growth (2019-2024)
4.4 Europe Recommendation Engine Market Size Growth (2019-2024)
4.5 Middle East & Africa Recommendation Engine Market Size Growth (2019-2024)
5 Americas
5.1 Americas Recommendation Engine Market Size by Country (2019-2024)
5.2 Americas Recommendation Engine Market Size by Type (2019-2024)
5.3 Americas Recommendation Engine Market Size by Application (2019-2024)
5.4 United States
5.5 Canada
5.6 Mexico
5.7 Brazil
6 APAC
6.1 APAC Recommendation Engine Market Size by Region (2019-2024)
6.2 APAC Recommendation Engine Market Size by Type (2019-2024)
6.3 APAC Recommendation Engine Market Size by Application (2019-2024)
6.4 China
6.5 Japan
6.6 Korea
6.7 Southeast Asia
6.8 India
6.9 Australia
7 Europe
7.1 Europe Recommendation Engine by Country (2019-2024)
7.2 Europe Recommendation Engine Market Size by Type (2019-2024)
7.3 Europe Recommendation Engine Market Size by Application (2019-2024)
7.4 Germany
7.5 France
7.6 UK
7.7 Italy
7.8 Russia
8 Middle East & Africa
8.1 Middle East & Africa Recommendation Engine by Region (2019-2024)
8.2 Middle East & Africa Recommendation Engine Market Size by Type (2019-2024)
8.3 Middle East & Africa Recommendation Engine Market Size by Application (2019-2024)
8.4 Egypt
8.5 South Africa
8.6 Israel
8.7 Turkey
8.8 GCC Countries
9 Market Drivers, Challenges and Trends
9.1 Market Drivers & Growth Opportunities
9.2 Market Challenges & Risks
9.3 Industry Trends
10 Global Recommendation Engine Market Forecast
10.1 Global Recommendation Engine Forecast by Regions (2025-2030)
10.1.1 Global Recommendation Engine Forecast by Regions (2025-2030)
10.1.2 Americas Recommendation Engine Forecast
10.1.3 APAC Recommendation Engine Forecast
10.1.4 Europe Recommendation Engine Forecast
10.1.5 Middle East & Africa Recommendation Engine Forecast
10.2 Americas Recommendation Engine Forecast by Country (2025-2030)
10.2.1 United States Recommendation Engine Market Forecast
10.2.2 Canada Recommendation Engine Market Forecast
10.2.3 Mexico Recommendation Engine Market Forecast
10.2.4 Brazil Recommendation Engine Market Forecast
10.3 APAC Recommendation Engine Forecast by Region (2025-2030)
10.3.1 China Recommendation Engine Market Forecast
10.3.2 Japan Recommendation Engine Market Forecast
10.3.3 Korea Recommendation Engine Market Forecast
10.3.4 Southeast Asia Recommendation Engine Market Forecast
10.3.5 India Recommendation Engine Market Forecast
10.3.6 Australia Recommendation Engine Market Forecast
10.4 Europe Recommendation Engine Forecast by Country (2025-2030)
10.4.1 Germany Recommendation Engine Market Forecast
10.4.2 France Recommendation Engine Market Forecast
10.4.3 UK Recommendation Engine Market Forecast
10.4.4 Italy Recommendation Engine Market Forecast
10.4.5 Russia Recommendation Engine Market Forecast
10.5 Middle East & Africa Recommendation Engine Forecast by Region (2025-2030)
10.5.1 Egypt Recommendation Engine Market Forecast
10.5.2 South Africa Recommendation Engine Market Forecast
10.5.3 Israel Recommendation Engine Market Forecast
10.5.4 Turkey Recommendation Engine Market Forecast
10.5.5 GCC Countries Recommendation Engine Market Forecast
10.6 Global Recommendation Engine Forecast by Type (2025-2030)
10.7 Global Recommendation Engine Forecast by Application (2025-2030)

11 Key Players Analysis
11.1 IBM
11.1.1 IBM Company Information
11.1.2 IBM Recommendation Engine Product Offered
11.1.3 IBM Recommendation Engine Revenue, Gross Margin and Market Share (2019-2024)
11.1.4 IBM Main Business Overview
11.1.5 IBM Latest Developments
11.2 Google
11.2.1 Google Company Information
11.2.2 Google Recommendation Engine Product Offered
11.2.3 Google Recommendation Engine Revenue, Gross Margin and Market Share (2019-2024)
11.2.4 Google Main Business Overview
11.2.5 Google Latest Developments
11.3 AWS
11.3.1 AWS Company Information
11.3.2 AWS Recommendation Engine Product Offered
11.3.3 AWS Recommendation Engine Revenue, Gross Margin and Market Share (2019-2024)
11.3.4 AWS Main Business Overview
11.3.5 AWS Latest Developments
11.4 Microsoft
11.4.1 Microsoft Company Information
11.4.2 Microsoft Recommendation Engine Product Offered
11.4.3 Microsoft Recommendation Engine Revenue, Gross Margin and Market Share (2019-2024)
11.4.4 Microsoft Main Business Overview
11.4.5 Microsoft Latest Developments
11.5 Salesforce
11.5.1 Salesforce Company Information
11.5.2 Salesforce Recommendation Engine Product Offered
11.5.3 Salesforce Recommendation Engine Revenue, Gross Margin and Market Share (2019-2024)
11.5.4 Salesforce Main Business Overview
11.5.5 Salesforce Latest Developments
11.6 Sentient Technologies
11.6.1 Sentient Technologies Company Information
11.6.2 Sentient Technologies Recommendation Engine Product Offered
11.6.3 Sentient Technologies Recommendation Engine Revenue, Gross Margin and Market Share (2019-2024)
11.6.4 Sentient Technologies Main Business Overview
11.6.5 Sentient Technologies Latest Developments
11.7 HPE
11.7.1 HPE Company Information
11.7.2 HPE Recommendation Engine Product Offered
11.7.3 HPE Recommendation Engine Revenue, Gross Margin and Market Share (2019-2024)
11.7.4 HPE Main Business Overview
11.7.5 HPE Latest Developments
11.8 Oracle
11.8.1 Oracle Company Information
11.8.2 Oracle Recommendation Engine Product Offered
11.8.3 Oracle Recommendation Engine Revenue, Gross Margin and Market Share (2019-2024)
11.8.4 Oracle Main Business Overview
11.8.5 Oracle Latest Developments
11.9 Intel
11.9.1 Intel Company Information
11.9.2 Intel Recommendation Engine Product Offered
11.9.3 Intel Recommendation Engine Revenue, Gross Margin and Market Share (2019-2024)
11.9.4 Intel Main Business Overview
11.9.5 Intel Latest Developments
11.10 SAP
11.10.1 SAP Company Information
11.10.2 SAP Recommendation Engine Product Offered
11.10.3 SAP Recommendation Engine Revenue, Gross Margin and Market Share (2019-2024)
11.10.4 SAP Main Business Overview
11.10.5 SAP Latest Developments
11.11 Fuzzy.AI
11.11.1 Fuzzy.AI Company Information
11.11.2 Fuzzy.AI Recommendation Engine Product Offered
11.11.3 Fuzzy.AI Recommendation Engine Revenue, Gross Margin and Market Share (2019-2024)
11.11.4 Fuzzy.AI Main Business Overview
11.11.5 Fuzzy.AI Latest Developments
11.12 Infinite Analytics
11.12.1 Infinite Analytics Company Information
11.12.2 Infinite Analytics Recommendation Engine Product Offered
11.12.3 Infinite Analytics Recommendation Engine Revenue, Gross Margin and Market Share (2019-2024)
11.12.4 Infinite Analytics Main Business Overview
11.12.5 Infinite Analytics Latest Developments
12 Research Findings and Conclusion

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