コンテンツレコメンデーションエンジンの世界市場レポート 2025年

コンテンツレコメンデーションエンジンの市場規模は、今後数年で飛躍的な成長が見込まれます。2029年にはCAGR38.6％で394億米ドルに成長します。予測期間の成長は、クロスプラットフォームの統合、音声や会話インターフェースとの統合、AIの説明能力と透明性、文脈に応じたレコメンデーション、プライバシー対策の強化、動的なユーザープロファイルに起因しています。予測期間の主な動向には、パーソナライゼーションの台頭、データ分析と機械学習の進歩、ストリーミングプラットフォームとの統合、クロスプラットフォームレコメンデーション、文脈を考慮したレコメンデーションなどがあります。

急速なデジタル化がコンテンツレコメンデーションエンジン市場の成長を促進すると予想されます。デジタル化とは、様々なデジタル技術の利用やデジタルアクセスの増加により、ビジネスモデルや価値を生み出す機会を変化させ、高収益を生み出すことです。例えば、フランスを拠点とする政府間機関である国際エネルギー機関（IEA）によると、2023年3月、先進国ではデジタル化のレベルが平均で6％上昇しました。注目すべきは、デジタル化が進んだ分野では、デジタル化レベルの75パーセンタイルと25パーセンタイルを比較した場合、労働生産性の損失が20%も大幅に減少したことです。コンテンツレコメンデーションエンジンは、事業運営を最適化し、最大限の顧客を惹きつけ、顧客エンゲージメントを向上させ、より高い収益を上げるために、多くの企業で広く利用されています。EコマースプラットフォームやEメールマーケティング向けにパーソナライズされたソリューションを提供するイスラエルの企業Barilliance Ltd.が発表した記事によると、2021年9月には、Eコマース収益の約31％が商品レコメンデーションから生み出されるといいます。そのため、ビジネスにおける急速なデジタル化がコンテンツレコメンデーションエンジン市場の成長を促進しています。

インターネットユーザーの増加は、今後のコンテンツレコメンデーションエンジン市場の成長を後押しすると予想されます。インターネットユーザーとは、ウェブサイトの閲覧、電子メールの送受信、オンラインアプリケーションの使用、ソーシャルメディアへの参加、調査、デジタルコンテンツへのアクセスなど、さまざまな目的でインターネットにアクセスし、利用する個人を指します。インターネットユーザーの増加は、コンテンツレコメンデーションエンジンに、より多くのデータ、パーソナライゼーションのより良い機会、より幅広いユーザーベースを提供し、これらは総体として、様々な分野におけるシステムに対する需要の増加につながります。例えば、スイスに本部を置く専門機関である国際通信連合が2022年11月に発表した報告書によると、2022年には世界人口の66％を占める53億人がインターネットを利用すると推定されています。これは2021年からの成長率6.1％を反映しています。したがって、インターネットユーザーの増加がコンテンツレコメンデーションエンジン市場の成長を牽引しています。

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

• 世界のコンテンツレコメンデーションエンジン市場のPESTEL分析（政治、社会、技術、環境、法的要因、促進要因、抑制要因）
• 最終用途産業の分析
• 世界のコンテンツレコメンデーションエンジン市場の成長率分析
• 世界のコンテンツレコメンデーションエンジン市場の実績：規模と成長、2019～2024年
• 世界のコンテンツレコメンデーションエンジン市場の予測：規模と成長、2024～2029年、2034年
• 世界のコンテンツレコメンデーション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

• 世界のコンテンツレコメンデーションエンジン市場：コンポーネント別、実績と予測、2019～2024年、2024～2029年、2034年
• ソリューション
• サービス
• 世界のコンテンツレコメンデーションエンジン市場：フィルタリングアプローチ別、実績と予測、2019～2024年、2024～2029年、2034年
• 協調フィルタリング
• コンテンツベースフィルタリング
• ハイブリッドフィルタリング
• 世界のコンテンツレコメンデーションエンジン市場：組織規模別、実績と予測、2019～2024年、2024～2029年、2034年
• 中小企業
• 大企業
• 世界のコンテンツレコメンデーションエンジン市場：業界別、実績と予測、2019～2024年、2024～2029年、2034年
• Eコマース
• メディア、エンターテイメント、ゲーム
• 小売・消費財
• ホスピタリティ
• IT・通信
• BFSI
• 教育・トレーニング
• ヘルスケア・医薬品
• その他の業種
• 世界のコンテンツレコメンデーションエンジン市場：ソリューションのサブセグメンテーション：タイプ別、実績と予測、2019～2024年、2024～2029年、2034年
• パーソナライゼーションエンジン
• レコメンデーションアルゴリズム
• 分析およびレポートツール
• 統合ソフトウェア
• 世界のコンテンツレコメンデーションエンジン市場：サービスのサブセグメンテーション：タイプ別、実績と予測、2019～2024年、2024～2029年、2034年
• コンサルティングサービス
• 実装サービス
• サポートおよびメンテナンスサービス
• トレーニングサービス

第7章 地域別・国別分析

• 世界のコンテンツレコメンデーションエンジン市場：地域別、実績と予測、2019～2024年、2024～2029年、2034年
• 世界のコンテンツレコメンデーションエンジン市場：国別、実績と予測、2019～2024年、2024～2029年、2034年

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

• コンテンツレコメンデーションエンジン市場：競合情勢
• コンテンツレコメンデーションエンジン市場：企業プロファイル
  • International Business Machines Corporation（IBM）Overview, Products and Services, Strategy and Financial Analysis
  • Amazon Web Services Inc Overview, Products and Services, Strategy and Financial Analysis
  • RevContent Overview, Products and Services, Strategy and Financial Analysis
  • Taboola Overview, Products and Services, Strategy and Financial Analysis
  • Outbrain Inc 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

• Cxense ASA
• Dynamic Yield Ltd
• Curata Inc.
• Adobe Systems Inc.
• Salesforce. com Inc.
• Kibo Commerce
• BloomReach Inc.
• Certona Corporation
• RichRelevance Inc.
• Reflektion Inc.
• Barilliance Inc.
• Strands Labs Inc.
• Qubit Digital Ltd.
• ThinkAnalytics Ltd.
• Episerver Inc.

第32章 世界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 市場の最近の動向

第35章 市場の潜在力が高い国、セグメント、戦略

• コンテンツレコメンデーションエンジン市場2029年-最も新しい機会を提供する国
• コンテンツレコメンデーションエンジン市場2029年-最も新しい機会を提供するセグメント
• コンテンツレコメンデーションエンジン市場2029年-成長戦略
  • 市場動向に基づく戦略
  • 競合の戦略

第36章 付録

The content recommendation engine is a platform that uses data collection, data storage, data analysis, and data filtering to provide personalized content and suggestions to website visitors to optimize their experience, which leads to increased viewership and purchases. The content recommendation engine is used for predicting user behavior based on user visits to a website or user profile and then recommending content, products, or services a customer is likely to consume or engage with.

The main components of a content recommendation engine include solution and service. Content recommendation engine solutions include website development services, application development services for devices, software developments, and others. The different content recommendation engine filtration approaches include collaborative filtering, content-based filtering and hybrid filtering. The organization size for content recommendation engines is small and medium enterprises and large enterprises. The content recommendation engine verticals include e-commerce, media, entertainment, gaming, retail and consumer goods, hospitality, IT and telecommunication, BFSI, education and training, healthcare and pharmaceutical and other verticals.

The content recommendation engine market research report is one of a series of new reports from The Business Research Company that provides content recommendation engine market statistics, including content recommendation engine industry global market size, regional shares, competitors with an content recommendation engine market share, detailed content recommendation engine market segments, market trends and opportunities, and any further data you may need to thrive in the content recommendation engine industry. This content 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 content recommendation engine market size has grown exponentially in recent years. It will grow from $7.93 billion in 2024 to $10.67 billion in 2025 at a compound annual growth rate (CAGR) of 34.5%. The growth in the historic period can be attributed to increasing volume of digital content, user engagement and retention, personalization trends, competition in streaming services.

The content recommendation engine market size is expected to see exponential growth in the next few years. It will grow to $39.4 billion in 2029 at a compound annual growth rate (CAGR) of 38.6%. The growth in the forecast period can be attributed to cross-platform integration, integration with voice and conversational interfaces, ai explain ability and transparency, contextual recommendations, enhanced privacy measures, dynamic user profiles. Major trends in the forecast period include rise of personalization, data analytics and machine learning advances, integration with streaming platforms, cross-platform recommendations, context-aware recommendations.

The rapid digitalization is expected to propel the growth of the content recommendation engine market. Digitalization is the use of various digital technologies and the increase in digital access to change a business model and value-producing opportunities to generate high revenue. For instance, in March 2023, according to the International Energy Agency (IEA), a France-based intergovernmental organization, in advanced economies, the level of digitalization, on average, increased by 6%. Notably, in sectors with greater digitalization, there was a substantial reduction of 20% in labor productivity losses when comparing the 75th percentile to the 25th percentile of digitalization levels. Content recommendation engines are widely used in many firms to optimize business operations and attract maximum customers, improve customer engagement and drive higher revenues. According to the article published by Barilliance Ltd., an Israel-based company that provides personalized solutions for e-commerce platforms and email marketing, in September 2021, approximately 31% of e-commerce revenue is generated from product recommendations. Therefore, rapid digitalization in businesses is driving the content recommendation engine market growth.

The growing internet user is expected to boost the growth of the content recommendation engine market going forward. An internet user refers to an individual who accesses and utilizes the internet for various purposes, such as browsing websites, sending and receiving emails, using online applications, engaging in social media, conducting research, and accessing digital content. The growing number of internet users provides content recommendation engines with more data, better opportunities for personalization, and a broader user base, which collectively leads to increased demand for these systems in a variety of sectors. For instance, in November 2022, according to a report published by the International Telecommunication Union, a Switzerland-based specialized agency, an estimated 5. 3 billion people, accounting for 66 percent of the global population, use the Internet in 2022. This reflects a 6. 1% growth rate from 2021. Therefore, the growing internet user is driving the growth of the content recommendation engine market.

New product innovation is the key trend gaining popularity in the content recommendation engine market. Major companies operating in the content recommendation engine market are focused on product innovations that could give better recommendation solutions used online business platforms and strengthen their position in the market. For instance, in June 2022, Algolia, a US-based company providing personalized solutions for e-commerce platforms, introduced its advanced recommendation platform based on hybrid filtering combined with artificial intelligence known as Algolia recommend spring. Hybrid filtering technology uses both filtering methods to fill gaps in prediction processes, such as content-based filtering for users' current interests and collaborative filtering for preferences and behaviours of users this combination can provide an accurate prediction. The platform is an artificial intelligence-based recommendations engine integrated with a search and discovery platform to connect with users to provide relevant, actionable recommendations to enhance customer engagement.

Major companies operating in the content recommendation engine market are developing innovative products such as personalized content recommendation products to meet larger customer bases, more sales, and increase revenue. A personalized content recommendation product refers to a technology or software solution that uses algorithms and user data to suggest specific content, products, or services to individuals based on their preferences, behaviours, and past interactions. For instance, in February 2023, Amplitude Inc., a US-based software company, launched Amplitude Audiences. A distinctive aspect of this product is its ability to seamlessly integrate AI-powered recommendations with robust audience management features, all within a user-friendly, self-service solution. Amplitude Audiences offers a range of distinctive features, including behavioral segmentation through cohort analysis and computations, predictive modeling and segmentation based on predictions, activation through syncs and profile API, seamless integrations with over 30 destinations such as Braze, HubSpot, Intercom, Iterable, and Marketo, as well as powerful recommendations for achieving personalized 1:1 content experiences.

In April 2022, Taboola, a US-based company operating in content recommendation engine, acquired Gravity R&D for an undisclosed amount. Through this acquisition, Taboola aims to strengthen its product in the portfolio in content recommendations by providing personalized offers to customers to drive sales, increase average order sizes, and build customer loyalty to increase its market presence. Gravity R&D is a Hungry-based company operating in a content recommendation engine market.

Major companies operating in the content recommendation engine market include International Business Machines Corporation (IBM), Amazon Web Services Inc, RevContent, Taboola, Outbrain Inc, Cxense ASA, Dynamic Yield Ltd, Curata Inc., Adobe Systems Inc., Salesforce. com Inc., Kibo Commerce, BloomReach Inc., Certona Corporation, RichRelevance Inc., Reflektion Inc., Barilliance Inc., Strands Labs Inc., Qubit Digital Ltd., ThinkAnalytics Ltd., Episerver Inc., Uberflip, Acquia Inc., Sailthru Inc., Zeta Global, Monetate Inc., Emarsys eMarketing Systems AG, IgnitionOne Inc., Boxever Ltd., BlueConic Inc., Sitecore Corporation A/S

North America was the largest region in the content recommendation engine market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the content recommendation engine market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

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

The content recommendation engine market consists of revenues earned by entities by providing content recommendation engine that are used for data collection and analysis based on user behavior. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

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.

Content 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 content 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 content 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 content 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 Component: Solution; Service
• 2) By Filtering Approach: Collaborative Filtering; Content-Based Filtering; Hybrid Filtering
• 3) By Organization Size: Small And Medium Enterprises; Large Enterprises
• 4) By Vertical: E-Commerce; Media, Entertainment, And Gaming; Retail And Consumer Goods; Hospitality; IT And Telecommunication; BFSI; Education And Training; Healthcare And Pharmaceutical; Other Verticals
• Subsegments:
• 1) By Solution: Personalization Engines; Recommendation Algorithms; Analytics And Reporting Tools; Integration Software
• 2) By Service: Consulting Services; Implementation Services; Support And Maintenance Services; Training Services
• Companies Mentioned: International Business Machines Corporation (IBM); Amazon Web Services Inc; RevContent; Taboola; Outbrain Inc
• 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. Content Recommendation Engine Market Characteristics

3. Content Recommendation Engine Market Trends And Strategies

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

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

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

6. Content Recommendation Engine Market Segmentation

• 6.1. Global Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Solution
• Service
• 6.2. Global Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Collaborative Filtering
• Content-Based Filtering
• Hybrid Filtering
• 6.3. Global Content Recommendation Engine Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Small And Medium Enterprises
• Large Enterprises
• 6.4. Global Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• E-Commerce
• Media, Entertainment, And Gaming
• Retail And Consumer Goods
• Hospitality
• IT And Telecommunication
• BFSI
• Education And Training
• Healthcare And Pharmaceutical
• Other Verticals
• 6.5. Global Content Recommendation Engine Market, Sub-Segmentation Of Solution, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Personalization Engines
• Recommendation Algorithms
• Analytics And Reporting Tools
• Integration Software
• 6.6. Global Content Recommendation Engine Market, Sub-Segmentation Of Service, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Consulting Services
• Implementation Services
• Support And Maintenance Services
• Training Services

7. Content Recommendation Engine Market Regional And Country Analysis

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

8. Asia-Pacific Content Recommendation Engine Market

• 8.1. Asia-Pacific Content 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 Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 8.3. Asia-Pacific Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 8.4. Asia-Pacific Content Recommendation Engine Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Content Recommendation Engine Market

• 9.1. China Content Recommendation Engine Market Overview
• 9.2. China Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
• 9.3. China Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
• 9.4. China Content Recommendation Engine Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Content Recommendation Engine Market

• 10.1. India Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 10.2. India Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 10.3. India Content Recommendation Engine Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Content Recommendation Engine Market

• 11.1. Japan Content Recommendation Engine Market Overview
• 11.2. Japan Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 11.3. Japan Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 11.4. Japan Content Recommendation Engine Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Content Recommendation Engine Market

• 12.1. Australia Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 12.2. Australia Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 12.3. Australia Content Recommendation Engine Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Content Recommendation Engine Market

• 13.1. Indonesia Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 13.2. Indonesia Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 13.3. Indonesia Content Recommendation Engine Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Content Recommendation Engine Market

• 14.1. South Korea Content Recommendation Engine Market Overview
• 14.2. South Korea Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 14.3. South Korea Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 14.4. South Korea Content Recommendation Engine Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Content Recommendation Engine Market

• 15.1. Western Europe Content Recommendation Engine Market Overview
• 15.2. Western Europe Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 15.3. Western Europe Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 15.4. Western Europe Content Recommendation Engine Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Content Recommendation Engine Market

• 16.1. UK Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 16.2. UK Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 16.3. UK Content Recommendation Engine Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Content Recommendation Engine Market

• 17.1. Germany Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 17.2. Germany Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 17.3. Germany Content Recommendation Engine Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Content Recommendation Engine Market

• 18.1. France Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 18.2. France Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 18.3. France Content Recommendation Engine Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Content Recommendation Engine Market

• 19.1. Italy Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 19.2. Italy Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 19.3. Italy Content Recommendation Engine Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Content Recommendation Engine Market

• 20.1. Spain Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 20.2. Spain Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 20.3. Spain Content Recommendation Engine Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Content Recommendation Engine Market

• 21.1. Eastern Europe Content Recommendation Engine Market Overview
• 21.2. Eastern Europe Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 21.3. Eastern Europe Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 21.4. Eastern Europe Content Recommendation Engine Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Content Recommendation Engine Market

• 22.1. Russia Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 22.2. Russia Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 22.3. Russia Content Recommendation Engine Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Content Recommendation Engine Market

• 23.1. North America Content Recommendation Engine Market Overview
• 23.2. North America Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 23.3. North America Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 23.4. North America Content Recommendation Engine Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Content Recommendation Engine Market

• 24.1. USA Content Recommendation Engine Market Overview
• 24.2. USA Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 24.3. USA Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 24.4. USA Content Recommendation Engine Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Content Recommendation Engine Market

• 25.1. Canada Content Recommendation Engine Market Overview
• 25.2. Canada Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 25.3. Canada Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 25.4. Canada Content Recommendation Engine Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Content Recommendation Engine Market

• 26.1. South America Content Recommendation Engine Market Overview
• 26.2. South America Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 26.3. South America Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 26.4. South America Content Recommendation Engine Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Content Recommendation Engine Market

• 27.1. Brazil Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 27.2. Brazil Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 27.3. Brazil Content Recommendation Engine Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Content Recommendation Engine Market

• 28.1. Middle East Content Recommendation Engine Market Overview
• 28.2. Middle East Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 28.3. Middle East Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 28.4. Middle East Content Recommendation Engine Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Content Recommendation Engine Market

• 29.1. Africa Content Recommendation Engine Market Overview
• 29.2. Africa Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 29.3. Africa Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 29.4. Africa Content Recommendation Engine Market, Segmentation By Organization Size, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Content Recommendation Engine Market Competitive Landscape And Company Profiles

• 30.1. Content Recommendation Engine Market Competitive Landscape
• 30.2. Content Recommendation Engine Market Company Profiles
  • 30.2.1. International Business Machines Corporation (IBM) Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.2. Amazon Web Services Inc Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.3. RevContent Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.4. Taboola Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.5. Outbrain Inc Overview, Products and Services, Strategy and Financial Analysis

31. Content Recommendation Engine Market Other Major And Innovative Companies

• 31.1. Cxense ASA
• 31.2. Dynamic Yield Ltd
• 31.3. Curata Inc.
• 31.4. Adobe Systems Inc.
• 31.5. Salesforce. com Inc.
• 31.6. Kibo Commerce
• 31.7. BloomReach Inc.
• 31.8. Certona Corporation
• 31.9. RichRelevance Inc.
• 31.10. Reflektion Inc.
• 31.11. Barilliance Inc.
• 31.12. Strands Labs Inc.
• 31.13. Qubit Digital Ltd.
• 31.14. ThinkAnalytics Ltd.
• 31.15. Episerver Inc.

32. Global Content Recommendation Engine Market Competitive Benchmarking And Dashboard

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

34. Recent Developments In The Content Recommendation Engine Market

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

• 35.1 Content Recommendation Engine Market In 2029 - Countries Offering Most New Opportunities
• 35.2 Content Recommendation Engine Market In 2029 - Segments Offering Most New Opportunities
• 35.3 Content 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