Product Recommendation Engine Global Market Report 2025

Description

A product recommendation engine is a software tool or algorithm that suggests products to users based on various data points and patterns. It is widely used in e-commerce and online platforms to personalize the shopping experience for customers. Product recommendation engines help businesses increase sales by providing a more tailored shopping experience, boosting customer satisfaction, and enhancing engagement.

The main types of product recommendation engines are collaborative filtering, content-based filtering, hybrid recommendation systems, and others. Collaborative filtering is a method used by recommendation engines to suggest products or services based on the preferences and behaviors of similar users. These engines can be deployed both on-premise and cloud, serving a variety of end-user industries such as information technology and telecommunications, banking, financial services, and insurance (BFSI), retail, media and entertainment, healthcare, and others.

The product recommendation engine market research report is one of a series of new reports from The Business Research Company that provides product recommendation engine market statistics, including product recommendation engine industry global market size, regional shares, competitors with a product recommendation engine market share, detailed product recommendation engine market segments, market trends and opportunities, and any further data you may need to thrive in the product recommendation engine industry. This product recommendation engine market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The product recommendation engine market size has grown exponentially in recent years. It will grow from $7.42 billion in 2024 to $10.13 billion in 2025 at a compound annual growth rate (CAGR) of 36.5%. The growth in the historic period can be attributed to a rise in the digitalization rate, increasing demand for personalization, the rise of e-commerce, enhanced customer engagement, growth in mobile commerce, and growth in subscription services.

The product recommendation engine market size is expected to see exponential growth in the next few years. It will grow to $34.77 billion in 2029 at a compound annual growth rate (CAGR) of 36.1%. The growth in the forecast period can be attributed to increased average order value (AOV), rising competitive advantage, improved customer retention, rising demand for real-time recommendations, and rising expectations for customer support. Major trends in the forecast period include technological advancements, hybrid recommendation systems, artificial intelligence integration, a focus on customer experience, and cross-platform integration.

The growth of e-commerce is anticipated to drive the expansion of the product recommendation engine market in the coming years. E-commerce involves buying and selling goods and services online through digital platforms. This growth can be attributed to the convenience of shopping from anywhere at any time and the increased use of mobile devices, which facilitate easier access to online platforms. Product recommendation engines enhance the e-commerce experience by personalizing shopping, suggesting products based on users' past behaviors and preferences, and boosting customer engagement. For example, a report published in September 2023 by IAB Australia, a non-profit organization based in Australia, found that 73% of online shoppers purchased non-grocery retail products online at least once a month, a trend that has remained steady since 2022. As a result, the rise in e-commerce is fueling the growth of the product recommendation engine market.

Major companies in the product recommendation engine market are concentrating on developing advanced solutions, such as AI-powered intelligent product recommendation engines, to improve user experience and create personalized shopping experiences. AI-driven product recommendation engines are sophisticated systems that utilize artificial intelligence and machine learning to analyze user data and offer tailored product suggestions. For example, in June 2023, SAP SE, a Germany-based software company, introduced a new AI-powered solution named SAP Intelligent Product Recommendation. This tool enhances the sales process and customer experience by using machine learning and historical data to deliver personalized product recommendations based on customer needs, thereby streamlining the quotation process for configurable products. This launch is part of SAP's broader strategy to integrate AI capabilities across its applications, helping organizations make better decisions and improve operational efficiency with advanced technologies.

In December 2022, GetResponse, a Poland-based software development company, acquired Recostream for an undisclosed sum. This acquisition is intended to enhance GetResponse's email marketing platform with advanced AI-driven product recommendations, which will enable more personalized engagement and improve conversion rates in e-commerce. Recostream, based in the US, specializes in providing customized product recommendations for e-commerce businesses.

Major companies operating in the product recommendation engine market are Amazon.com Inc., Google plc, Microsoft Corporation, Alibaba Group Holding Limited, Intel Corporation, International Business Machines Corporation, Oracle Corporation, SAP SE, Salesforce Inc., Adobe Inc., Outbrain Inc., Cloudera Inc., Bloomreach Inc., Emarsys eMarketing Systems AG, Piano Software Inc., Coveo Solutions Inc., Dynamic Yield Ltd., Muvi LLC, Nosto Solutions Oy, Unbxd Inc., Certona Corporation, Recombee s.r.o.

Asia-Pacific was the largest region in the product recommendation engine market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the product recommendation engine market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the product recommendation engine market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The product recommendation engine market includes revenues earned by entities by providing services such as data collection, algorithm development, data analytics, cloud hosting, API integration, and user experience design. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Product Recommendation Engine Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on product recommendation engine market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

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Outperform competitors using forecast data and the drivers and trends shaping the market.
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Where is the largest and fastest growing market for product recommendation engine ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The product recommendation engine market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The market characteristics section of the report defines and explains the market.
The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

Market segmentations break down the market into sub markets.
The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

Markets Covered:1) By Type: Collaborative Filtering; Content-Based Filtering; Hybrid Recommendation Systems; Other Types
2) By Deployment Mode: On-Premise; Cloud
3) By End-User Industry: Information Technology And Telecommunication; Banking, Financial Services, And Insurance (BFSI); Retail; Media And Entertainment; Healthcare; Other End-User Industries
Subsegments:
1) By Collaborative Filtering: User-Based Collaborative Filtering; Item-Based Collaborative Filtering; Matrix Factorization Techniques
2) By Content-Based Filtering: Profile-Based Recommendations; Textual Content Analysis; Keyword-Based Recommendations
3) By Hybrid Recommendation Systems: Combining Collaborative and Content-Based Approaches; Weighted Hybrid Methods; Model-Based Hybrid Systems
4) By Other Types: Knowledge-Based Recommendation Systems; Demographic-Based Recommendations; Context-Aware Recommendation Systems
Companies Mentioned: Amazon.com Inc.; Google plc; Microsoft Corporation; Alibaba Group Holding Limited; Intel Corporation
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery format: PDF, Word and Excel Data Dashboard.

Product Code: r33531

1. Executive Summary

2. Product Recommendation Engine Market Characteristics

3. Product Recommendation Engine Market Trends And Strategies

4. Product Recommendation Engine Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics And Covid And Recovery On The Market

5. Global Product Recommendation Engine Growth Analysis And Strategic Analysis Framework

5.1. Global Product Recommendation Engine PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
5.2. Analysis Of End Use Industries
5.3. Global Product Recommendation Engine Market Growth Rate Analysis
5.4. Global Product Recommendation Engine Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
5.5. Global Product Recommendation Engine Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
5.6. Global Product Recommendation Engine Total Addressable Market (TAM)

6. Product Recommendation Engine Market Segmentation

6.1. Global Product Recommendation Engine Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Collaborative Filtering
Content-Based Filtering
Hybrid Recommendation Systems
Other Types
6.2. Global Product Recommendation Engine Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
On-Premise
Cloud
6.3. Global Product Recommendation Engine Market, Segmentation By End-User Industry, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Information Technology And Telecommunication
Banking, Financial Services, And Insurance (BFSI)
Retail
Media And Entertainment
Healthcare
Other End-User Industries
6.4. Global Product Recommendation Engine Market, Sub-Segmentation Of Collaborative Filtering, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
User-Based Collaborative Filtering
Item-Based Collaborative Filtering
Matrix Factorization Techniques
6.5. Global Product Recommendation Engine Market, Sub-Segmentation Of Content-Based Filtering, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Profile-Based Recommendations
Textual Content Analysis
Keyword-Based Recommendations
6.6. Global Product Recommendation Engine Market, Sub-Segmentation Of Hybrid Recommendation Systems, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Combining Collaborative and Content-Based Approaches
Weighted Hybrid Methods
Model-Based Hybrid Systems
6.7. Global Product Recommendation Engine Market, Sub-Segmentation Of Other Types, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Knowledge-Based Recommendation Systems
Demographic-Based Recommendations
Context-Aware Recommendation Systems

7. Product Recommendation Engine Market Regional And Country Analysis

7.1. Global Product Recommendation Engine Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
7.2. Global Product Recommendation Engine Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Product Recommendation Engine Market

8.1. Asia-Pacific Product Recommendation Engine Market Overview
Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
8.2. Asia-Pacific Product Recommendation Engine Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
8.3. Asia-Pacific Product Recommendation Engine Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
8.4. Asia-Pacific Product Recommendation Engine Market, Segmentation By End-User Industry, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Product Recommendation Engine Market

9.1. China Product Recommendation Engine Market Overview
9.2. China Product Recommendation Engine Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
9.3. China Product Recommendation Engine Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
9.4. China Product Recommendation Engine Market, Segmentation By End-User Industry, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Product Recommendation Engine Market

10.1. India Product Recommendation Engine Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
10.2. India Product Recommendation Engine Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
10.3. India Product Recommendation Engine Market, Segmentation By End-User Industry, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Product Recommendation Engine Market

11.1. Japan Product Recommendation Engine Market Overview
11.2. Japan Product Recommendation Engine Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
11.3. Japan Product Recommendation Engine Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
11.4. Japan Product Recommendation Engine Market, Segmentation By End-User Industry, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Product Recommendation Engine Market

12.1. Australia Product Recommendation Engine Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
12.2. Australia Product Recommendation Engine Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
12.3. Australia Product Recommendation Engine Market, Segmentation By End-User Industry, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Product Recommendation Engine Market

13.1. Indonesia Product Recommendation Engine Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
13.2. Indonesia Product Recommendation Engine Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
13.3. Indonesia Product Recommendation Engine Market, Segmentation By End-User Industry, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Product Recommendation Engine Market

14.1. South Korea Product Recommendation Engine Market Overview
14.2. South Korea Product Recommendation Engine Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
14.3. South Korea Product Recommendation Engine Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
14.4. South Korea Product Recommendation Engine Market, Segmentation By End-User Industry, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Product Recommendation Engine Market

15.1. Western Europe Product Recommendation Engine Market Overview
15.2. Western Europe Product Recommendation Engine Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
15.3. Western Europe Product Recommendation Engine Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
15.4. Western Europe Product Recommendation Engine Market, Segmentation By End-User Industry, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Product Recommendation Engine Market

16.1. UK Product Recommendation Engine Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
16.2. UK Product Recommendation Engine Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
16.3. UK Product Recommendation Engine Market, Segmentation By End-User Industry, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Product Recommendation Engine Market

17.1. Germany Product Recommendation Engine Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
17.2. Germany Product Recommendation Engine Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
17.3. Germany Product Recommendation Engine Market, Segmentation By End-User Industry, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Product Recommendation Engine Market

18.1. France Product Recommendation Engine Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
18.2. France Product Recommendation Engine Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
18.3. France Product Recommendation Engine Market, Segmentation By End-User Industry, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Product Recommendation Engine Market

19.1. Italy Product Recommendation Engine Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
19.2. Italy Product Recommendation Engine Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
19.3. Italy Product Recommendation Engine Market, Segmentation By End-User Industry, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Product Recommendation Engine Market

20.1. Spain Product Recommendation Engine Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
20.2. Spain Product Recommendation Engine Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
20.3. Spain Product Recommendation Engine Market, Segmentation By End-User Industry, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Product Recommendation Engine Market

21.1. Eastern Europe Product Recommendation Engine Market Overview
21.2. Eastern Europe Product Recommendation Engine Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
21.3. Eastern Europe Product Recommendation Engine Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
21.4. Eastern Europe Product Recommendation Engine Market, Segmentation By End-User Industry, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Product Recommendation Engine Market

22.1. Russia Product Recommendation Engine Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
22.2. Russia Product Recommendation Engine Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
22.3. Russia Product Recommendation Engine Market, Segmentation By End-User Industry, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Product Recommendation Engine Market

23.1. North America Product Recommendation Engine Market Overview
23.2. North America Product Recommendation Engine Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
23.3. North America Product Recommendation Engine Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
23.4. North America Product Recommendation Engine Market, Segmentation By End-User Industry, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Product Recommendation Engine Market

24.1. USA Product Recommendation Engine Market Overview
24.2. USA Product Recommendation Engine Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
24.3. USA Product Recommendation Engine Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
24.4. USA Product Recommendation Engine Market, Segmentation By End-User Industry, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Product Recommendation Engine Market

25.1. Canada Product Recommendation Engine Market Overview
25.2. Canada Product Recommendation Engine Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
25.3. Canada Product Recommendation Engine Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
25.4. Canada Product Recommendation Engine Market, Segmentation By End-User Industry, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Product Recommendation Engine Market

26.1. South America Product Recommendation Engine Market Overview
26.2. South America Product Recommendation Engine Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
26.3. South America Product Recommendation Engine Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
26.4. South America Product Recommendation Engine Market, Segmentation By End-User Industry, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Product Recommendation Engine Market

27.1. Brazil Product Recommendation Engine Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
27.2. Brazil Product Recommendation Engine Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
27.3. Brazil Product Recommendation Engine Market, Segmentation By End-User Industry, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Product Recommendation Engine Market

28.1. Middle East Product Recommendation Engine Market Overview
28.2. Middle East Product Recommendation Engine Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
28.3. Middle East Product Recommendation Engine Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
28.4. Middle East Product Recommendation Engine Market, Segmentation By End-User Industry, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Product Recommendation Engine Market

29.1. Africa Product Recommendation Engine Market Overview
29.2. Africa Product Recommendation Engine Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
29.3. Africa Product Recommendation Engine Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
29.4. Africa Product Recommendation Engine Market, Segmentation By End-User Industry, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Product Recommendation Engine Market Competitive Landscape And Company Profiles

30.1. Product Recommendation Engine Market Competitive Landscape
30.2. Product Recommendation Engine Market Company Profiles
- 30.2.1. Amazon.com Inc. Overview, Products and Services, Strategy and Financial Analysis
- 30.2.2. Google plc Overview, Products and Services, Strategy and Financial Analysis
- 30.2.3. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
- 30.2.4. Alibaba Group Holding Limited Overview, Products and Services, Strategy and Financial Analysis
- 30.2.5. Intel Corporation Overview, Products and Services, Strategy and Financial Analysis

31. Product Recommendation Engine Market Other Major And Innovative Companies

31.1. International Business Machines Corporation
31.2. Oracle Corporation
31.3. SAP SE
31.4. Salesforce Inc.
31.5. Adobe Inc.
31.6. Outbrain Inc.
31.7. Cloudera Inc.
31.8. Bloomreach Inc.
31.9. Emarsys eMarketing Systems AG
31.10. Piano Software Inc.
31.11. Coveo Solutions Inc.
31.12. Dynamic Yield Ltd.
31.13. Muvi LLC
31.14. Nosto Solutions Oy
31.15. Unbxd Inc.

32. Global Product Recommendation Engine Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Product Recommendation Engine Market

34. Recent Developments In The Product Recommendation Engine Market

35. Product Recommendation Engine Market High Potential Countries, Segments and Strategies

35.1 Product Recommendation Engine Market In 2029 - Countries Offering Most New Opportunities
35.2 Product Recommendation Engine Market In 2029 - Segments Offering Most New Opportunities
35.3 Product Recommendation Engine Market In 2029 - Growth Strategies
- 35.3.1 Market Trend Based Strategies
- 35.3.2 Competitor Strategies

36. Appendix

36.1. Abbreviations
36.2. Currencies
36.3. Historic And Forecast Inflation Rates
36.4. Research Inquiries
36.5. The Business Research Company
36.6. Copyright And Disclaimer
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