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商品推奨エンジンの世界市場レポート 2025年

Product Recommendation Engine Global Market Report 2025

出版日
ページ情報
英文 175 Pages
納期
2～10営業日
カスタマイズ可能
適宜更新あり
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=146.99円
商品推奨エンジンの世界市場レポート 2025年
出版日: 2025年04月23日
発行: The Business Research Company
ページ情報: 英文 175 Pages
納期: 2～10営業日
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概要

商品推奨エンジン市場規模は、今後数年で飛躍的な成長が見込まれます。2029年にはCAGR36.1％で347億7,000万米ドルに成長します。予測期間の成長は、平均注文額（AOV）の増加、競合優位性の向上、顧客維持率の改善、リアルタイム・レコメンデーションに対する需要の高まり、顧客サポートに対する期待の高まりに起因すると考えられます。予測期間における主な動向としては、技術的進歩、ハイブリッド推奨システム、人工知能統合、顧客体験重視、クロスプラットフォーム統合などが挙げられます。

eコマースの成長は、今後数年間の商品推奨エンジン市場の拡大を牽引すると予測されます。eコマースとは、デジタルプラットフォームを通じてオンラインで商品やサービスを売買することです。この成長は、いつでもどこからでも買い物ができる利便性と、オンライン・プラットフォームへのアクセスを容易にするモバイル・デバイスの使用の増加に起因しています。商品レコメンデーション・エンジンは、ショッピングをパーソナライズし、ユーザーの過去の行動や嗜好に基づいて商品を提案し、顧客エンゲージメントを高めることで、eコマース体験を向上させる。例えば、オーストラリアを拠点とする非営利団体IAB Australiaが2023年9月に発表したレポートによると、オンラインショッピング利用者の73％が食料品以外の小売商品を少なくとも月に1回はオンラインで購入しており、この傾向は2022年以降も安定しています。その結果、eコマースの増加が商品推奨エンジン市場の成長に拍車をかけています。

商品推奨エンジン市場の主要企業は、ユーザーエクスペリエンスを向上させ、パーソナライズされたショッピング体験を実現するために、AIを搭載したインテリジェントな商品推奨エンジンなどの先進ソリューションの開発に注力しています。AI駆動型商品推奨エンジンは、人工知能と機械学習を活用してユーザーデータを分析し、オーダーメイドの商品提案を行う高度なシステムです。例えば、2023年6月、ドイツに本社を置くソフトウェア会社SAP SEは、SAP Intelligent Product Recommendationと名付けられた新しいAI搭載ソリューションを発表しました。このツールは、機械学習と過去のデータを利用して、顧客のニーズに基づいたパーソナライズされた製品推奨を提供することで、販売プロセスと顧客体験を強化し、コンフィギュラブル製品の見積もりプロセスを合理化します。今回の発表は、アプリケーション全体にAI機能を統合するSAPの広範な戦略の一環であり、高度な技術によって組織がより良い意思決定を行い、業務効率を向上させることを支援するものです。

目次

第1章 エグゼクティブサマリー

第2章 市場の特徴

第3章 市場動向と戦略

第4章 市場：金利、インフレ、地政学、コロナ禍、回復が市場に与える影響を含むマクロ経済シナリオ

第5章 世界の成長分析と戦略分析フレームワーク

  • 世界商品推奨エンジンPESTEL分析（政治、社会、技術、環境、法的要因、促進要因と抑制要因）
  • 最終用途産業の分析
  • 世界の商品推奨エンジン市場：成長率分析
  • 世界の商品推奨エンジン市場の実績：規模と成長, 2019-2024
  • 世界の商品推奨エンジン市場の予測：規模と成長, 2024-2029, 2034F
  • 世界商品推奨エンジン総アドレス可能市場（TAM）

第6章 市場セグメンテーション

  • 世界の商品推奨エンジン市場：タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
  • 協調フィルタリング
  • コンテンツベースのフィルタリング
  • ハイブリッド推奨システム
  • その他のタイプ
  • 世界の商品推奨エンジン市場：展開モード別、実績と予測, 2019-2024, 2024-2029F, 2034F
  • オンプレミス
  • クラウド
  • 世界の商品推奨エンジン市場：エンドユーザー業界別、実績と予測, 2019-2024, 2024-2029F, 2034F
  • 情報技術と通信
  • 銀行、金融サービス、保険（BFSI）
  • 小売り
  • メディアとエンターテイメント
  • ヘルスケア
  • その他のエンドユーザー産業
  • 世界の商品推奨エンジン市場協調フィルタリングのサブセグメンテーション（タイプ別）、実績と予測, 2019-2024, 2024-2029F, 2034F
  • ユーザーベースの協調フィルタリング
  • アイテムベースの協調フィルタリング
  • 行列分解技法
  • 世界の商品推奨エンジン市場コンテンツベースフィルタリングのサブセグメンテーション（タイプ別）、実績と予測, 2019-2024, 2024-2029F, 2034F
  • プロファイルベースの推奨事項
  • テキストコンテンツ分析
  • キーワードベースのレコメンデーション
  • 世界の商品推奨エンジン市場ハイブリッドレコメンデーションシステムのタイプ別サブセグメンテーション、実績と予測, 2019-2024, 2024-2029F, 2034F
  • 共同作業とコンテンツベースのアプローチを組み合わせる
  • 加重ハイブリッド法
  • モデルベースハイブリッドシステム
  • 世界の商品推奨エンジン市場、その他のタイプのサブセグメンテーション、タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
  • 知識ベースの推奨システム
  • 人口統計に基づく推奨
  • コンテキスト認識型推奨システム

第7章 地域別・国別分析

  • 世界の商品推奨エンジン市場：地域別、実績と予測, 2019-2024, 2024-2029F, 2034F
  • 世界の商品推奨エンジン市場：国別、実績と予測, 2019-2024, 2024-2029F, 2034F

第8章 アジア太平洋市場

第9章 中国市場

第10章 インド市場

第11章 日本市場

第12章 オーストラリア市場

第13章 インドネシア市場

第14章 韓国市場

第15章 西欧市場

第16章 英国市場

第17章 ドイツ市場

第18章 フランス市場

第19章 イタリア市場

第20章 スペイン市場

第21章 東欧市場

第22章 ロシア市場

第23章 北米市場

第24章 米国市場

第25章 カナダ市場

第26章 南米市場

第27章 ブラジル市場

第28章 中東市場

第29章 アフリカ市場

第30章 競合情勢と企業プロファイル

  • 商品推奨エンジン市場：競合情勢
  • 商品推奨エンジン市場：企業プロファイル
    • 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 その他の大手企業と革新的企業

  • 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 世界の市場競合ベンチマーキングとダッシュボード

第33章 主要な合併と買収

第34章 最近の市場動向

第35章 市場の潜在力が高い国、セグメント、戦略

  • 商品推奨エンジン市場2029：新たな機会を提供する国
  • 商品推奨エンジン市場2029：新たな機会を提供するセグメント
  • 商品推奨エンジン市場2029：成長戦略
    • 市場動向に基づく戦略
    • 競合の戦略

第36章 付録

目次
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