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市场调查报告书
商品编码
1713629

2025年全球产品推荐引擎市场报告

Product Recommendation Engine Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 175 Pages | 商品交期: 2-10个工作天内

价格
简介目录

预计未来几年产品推荐引擎市场规模将大幅成长。到 2029 年，这一数字将成长至 347.7 亿美元，复合年增长率为 36.1%。预测期内的成长可归因于平均订单价值 (AOV) 的增加、竞争优势的提高、客户维繫的提高、对即时建议的需求的增长以及对客户支援的期望的提高。预测期内的关键趋势包括技术进步、混合推荐系统、人工智慧整合、专注于客户体验和跨平台整合。

预计电子商务的成长将在未来几年推动产品推荐引擎市场的扩张。电子商务是透过数位平台在线购买和销售商品和服务。这种增长归因于随时随地购物的便利性以及行动装置的使用日益增多，使得存取线上平台变得更加容易。产品建议引擎透过个人化购物、根据用户过去的行为和偏好提案产品以及提高客户参与来改善电子商务体验。例如，根据澳洲非营利组织 IAB Australia 于 2023 年 9 月发布的报告，73% 的网路购物购物者每月至少在线上购买一次非食品杂货零售商品，并且这一趋势将在 2022 年后保持稳定。因此，电子商务的兴起正在推动产品推荐引擎市场的成长。

产品推荐引擎市场的主要企业正专注于开发先进的解决方案，例如由人工智慧驱动的智慧产品推荐引擎，以改善用户体验并实现个人化的购物体验。人工智慧驱动的产品推荐引擎是一种先进的系统，它使用人工智慧和机器学习来分析用户数据并提出客製化的产品提案。例如，2023 年 6 月，德国软体公司 SAP SE 宣布推出一项名为 SAP 智慧产品推荐的全新人工智慧解决方案。该工具利用机器学习和历史数据，根据客户需求提供个人化的产品推荐，从而增强销售流程和客户体验，并简化可配置产品的报价流程。今天的公告是 SAP 更广泛策略的一部分，该策略旨在将人工智慧功能整合到其应用程式中，使组织能够利用先进技术做出更好的决策并提高业务效率。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 市场：宏观经济情景，包括利率、通膨、地缘政治、新冠疫情、经济復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球产品推荐引擎PESTEL分析（政治、社会、技术、环境、法律因素、驱动因素与限制因素）
  • 最终用途产业分析
  • 全球产品推荐引擎市场：成长率分析
  • 全球产品推荐引擎市场表现：规模与成长，2019-2024
  • 全球产品推荐引擎市场预测：规模与成长，2024-2029 年，2034 年
  • 全球产品推荐引擎总目标市场（TAM）

第六章市场区隔

  • 全球产品推荐引擎市场：按类型、性能和预测，2019-2024 年、2024-2029 年、2034 年
  • 协同过滤
  • 基于内容的过滤
  • 混合推荐系统
  • 其他类型
  • 全球产品推荐引擎市场：依部署模式、效能和预测，2019-2024 年、2024-2029 年、2034 年
  • 本地
  • 云
  • 全球产品推荐引擎市场：按最终用户产业、绩效及预测，2019-2024 年、2024-2029 年、2034 年
  • 资讯科技和通讯
  • 银行、金融服务和保险（BFSI）
  • 零售
  • 媒体和娱乐
  • 卫生保健
  • 其他最终用户产业
  • 全球产品推荐引擎市场协同过滤细分（按类型）、表现和预测，2019-2024 年、2024-2029 年、2034 年
  • 基于使用者的协同过滤
  • 基于专案的协同过滤
  • 矩阵分解技术
  • 全球产品推荐引擎市场基于内容的过滤细分（按类型）、实际和预测，2019-2024 年、2024-2029 年、2034 年
  • 基于个人资料的推荐
  • 文字内容分析
  • 基于关键字的建议
  • 全球产品推荐引擎市场混合建议系统细分（按类型、性能和预测），2019-2024 年、2024-2029 年、2034 年
  • 结合协作和基于内容的方法
  • 加权混合方法
  • 基于模型的混合系统
  • 全球产品推荐引擎市场及其他细分市场，依类型、实际及预测，2019-2024 年、2024-2029 年、2034 年
  • 基于知识的推荐系统
  • 人口统计建议
  • 情境感知推荐系统

第七章 区域和国家分析

  • 全球产品推荐引擎市场：依地区、绩效及预测，2019-2024 年、2024-2029 年、2034 年
  • 全球产品推荐引擎市场：依国家、表现及预测，2019-2024 年、2024-2029 年、2034 年

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章 澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章 西欧市场

第十六章英国市场

第十七章 德国市场

第十八章 法国市场

第十九章：义大利市场

第20章：西班牙市场

第21章 东欧市场

第22章 俄罗斯市场

第23章 北美市场

第24章美国市场

第25章：加拿大市场

第26章 南美洲市场

第27章：巴西市场

第28章 中东市场

第29章：非洲市场

第30章竞争格局与公司概况

  • 产品推荐引擎市场：竞争格局
  • 产品推荐引擎市场：公司简介
    • Amazon.com Inc. Overview, Products and Services, Strategy and Financial Analysis
    • Google plc Overview, Products and Services, Strategy and Financial Analysis
    • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Alibaba Group Holding Limited Overview, Products and Services, Strategy and Financial Analysis
    • Intel Corporation Overview, Products and Services, Strategy and Financial Analysis

第31章 其他大型创新企业

  • 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.

第 32 章全球市场竞争基准化分析与仪表板

第33章 重大併购

第34章近期市场趋势

第 35 章 高市场潜力国家、细分市场与策略

  • 2029 年产品推荐引擎市场：提供新机会的国家
  • 2029 年产品推荐引擎市场：细分市场带来新机会
  • 2029年产品推荐引擎市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手的策略

第36章 附录

简介目录
Product Code: r33531

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.

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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.

Table of Contents

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
  • 250423_r33531_Product_Recommendation_Engine_GMR_2025