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市場調查報告書
商品編碼
1713629

2025年全球產品推薦引擎市場報告

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個工作天內

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簡介目錄

預計未來幾年產品推薦引擎市場規模將大幅成長。到 2029 年，這一數字將成長至 347.7 億美元，複合年成長率為 36.1%。預測期內的成長可歸因於平均訂單價值 (AOV) 的增加、競爭優勢的提高、客戶維繫的提高、對即時建議的需求的成長以及對客戶支援的期望的提高。預測期內的關鍵趨勢包括技術進步、混合推薦系統、人工智慧整合、專注於客戶體驗和跨平台整合。

預計電子商務的成長將在未來幾年推動產品推薦引擎市場的擴張。電子商務是透過數位平台在線購買和銷售商品和服務。這種成長歸因於隨時隨地購物的便利性以及行動裝置的使用日益增多，使得存取線上平台變得更加容易。產品建議引擎透過個人化購物、根據用戶過去的行為和偏好提案產品以及提高客戶參與來改善電子商務體驗。例如，根據澳洲非營利組織 IAB Australia 於 2023 年 9 月發布的報告，73% 的網路購物購物者每月至少在線上購買一次非食品雜貨零售商品，並且這一趨勢將在 2022 年後保持穩定。因此，電子商務的興起正在推動產品推薦引擎市場的成長。

產品推薦引擎市場的主要企業正專注於開發先進的解決方案，例如由人工智慧驅動的智慧產品推薦引擎，以改善用戶體驗並實現個人化的購物體驗。人工智慧驅動的產品推薦引擎是一種先進的系統，它使用人工智慧和機器學習來分析用戶數據並提出客製化的產品提案。例如，2023 年 6 月，德國軟體公司 SAP SE 宣布推出一項名為 SAP 智慧產品推薦的全新人工智慧解決方案。該工具利用機器學習和歷史數據，根據客戶需求提供個人化的產品推薦，從而增強銷售流程和客戶體驗，並簡化可配置產品的報價流程。今天的公告是 SAP 更廣泛策略的一部分，該策略旨在將人工智慧功能整合到其應用程式中，使組織能夠利用先進技術做出更好的決策並提高業務效率。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場：宏觀經濟情景，包括利率、通膨、地緣政治、新冠疫情、經濟復甦對市場的影響

第5章 全球成長分析與策略分析框架

  • 全球產品推薦引擎PESTEL分析（政治、社會、技術、環境、法律因素、促進因素與限制因素）
  • 最終用途產業分析
  • 全球產品推薦引擎市場：成長率分析
  • 全球產品推薦引擎市場表現：規模與成長，2019-2024
  • 全球產品推薦引擎市場預測：規模與成長，2024-2029 年，2034 年
  • 全球產品推薦引擎總目標市場（TAM）

第6章市場區隔

  • 全球產品推薦引擎市場：按類型、性能和預測，2019-2024 年、2024-2029 年、2034 年
  • 協同過濾
  • 基於內容的過濾
  • 混合推薦系統
  • 其他類型
  • 全球產品推薦引擎市場：依部署模式、效能和預測，2019-2024 年、2024-2029 年、2034 年
  • 本地
  • 雲
  • 全球產品推薦引擎市場：按最終用戶產業、績效及預測，2019-2024 年、2024-2029 年、2034 年
  • 資訊科技和通訊
  • 銀行、金融服務和保險（BFSI）
  • 零售
  • 媒體和娛樂
  • 衛生保健
  • 其他最終用戶產業
  • 全球產品推薦引擎市場協同過濾細分（按類型）、表現和預測，2019-2024 年、2024-2029 年、2034 年
  • 基於使用者的協同過濾
  • 基於專案的協同過濾
  • 矩陣分解技術
  • 全球產品推薦引擎市場基於內容的過濾細分（按類型）、實際和預測，2019-2024 年、2024-2029 年、2034 年
  • 基於個人資料的推薦
  • 文字內容分析
  • 基於關鍵字的建議
  • 全球產品推薦引擎市場混合建議系統細分（按類型、性能和預測），2019-2024 年、2024-2029 年、2034 年
  • 結合協作和基於內容的方法
  • 加權混合方法
  • 基於模型的混合系統
  • 全球產品推薦引擎市場及其他細分市場，依類型、實際及預測，2019-2024 年、2024-2029 年、2034 年
  • 基於知識的推薦系統
  • 人口統計建議
  • 情境感知推薦系統

第7章 區域和國家分析

  • 全球產品推薦引擎市場：依地區、績效及預測，2019-2024 年、2024-2029 年、2034 年
  • 全球產品推薦引擎市場：依國家、表現及預測，2019-2024 年、2024-2029 年、2034 年

第8章 亞太市場

第9章：中國市場

第10章 印度市場

第11章 日本市場

第12章 澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第17章 德國市場

第18章 法國市場

第19章：義大利市場

第20章：西班牙市場

第21章 東歐市場

第22章 俄羅斯市場

第23章 北美市場

第24章美國市場

第25章：加拿大市場

第26章 南美洲市場

第27章：巴西市場

第28章 中東市場

第29章：非洲市場

第30章競爭格局與公司概況

  • 產品推薦引擎市場：競爭格局
  • 產品推薦引擎市場：公司簡介
    • 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 其他大型創新企業

  • 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 章全球市場競爭基準化分析與儀表板

第33章 重大併購

第34章近期市場趨勢

第 35 章 高市場潛力國家、細分市場與策略

  • 2029 年產品推薦引擎市場：提供新機會的國家
  • 2029 年產品推薦引擎市場：細分市場帶來新機會
  • 2029年產品推薦引擎市場：成長策略
    • 基於市場趨勢的策略
    • 競爭對手的策略

第36章 附錄

簡介目錄
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