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1392581

2024 年內容建議引擎全球市場報告

Content Recommendation Engine Global Market Report 2024
出版日期: 按訂單生產 | 出版商: The Business Research Company | 英文 200 Pages | 商品交期: 2-10個工作天內

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簡介目錄

近年來內容建議引擎的市場規模迅速擴大。將從2023年的59.5億美元擴大到2024年的80.8億美元，複合年成長率為35.7%。這段歷史性的成長時期是由數位內容數量的增加、用戶參與度和保留率、個人化趨勢以及串流媒體服務的競爭所推動的。

快速數位化預計將推動內容建議引擎市場的成長。數位化意味著改變商業模式和機會，透過使用各種數位技術創造價值並增加數位存取以產生高額收益。例如，總部位於法國的政府間組織國際能源總署（IEA）的數據顯示，2023年3月，已開發國家的數位化水準平均提高了6%。值得注意的是，與數位化水準的 75% 和 25% 相比，高度數位化的產業勞動生產力損失顯著減少了 20%。內容建議引擎被許多公司廣泛用於最佳化業務營運、獲取最大客戶、提高客戶參與並增加收益。根據為電商平台和電子郵件行銷提供個人化解決方案的以色列公司 Barilliance Ltd. 發表的報導，到 2021 年 9 月，約 31% 的電商收益將來自產品建議。因此，業務的快速數位化正在推動內容建議引擎市場的成長。

網路用戶數量的增加預計將推動未來內容建議引擎市場的成長。網路用戶是出於各種目的存取和使用網路的個人，包括瀏覽網站、發送和接收電子郵件、使用線上應用程式、參與社交媒體、進行研究和存取數位內容。越來越多的網路使用者為內容建議引擎提供了更多的資料、個人化的機會和更廣泛的用戶層，從而增加了各個領域對這些系統的需求。例如，根據總部位於瑞士的專門組織國際通訊聯盟2022年11月發布的報告，預計到2022年將有53億人，即世界人口的66%使用網路。這反映出自 2021 年以來成長率為 6.1%。因此，網路用戶數量的增加正在推動內容建議引擎市場的成長。

2023年內容建議引擎市場最大的地區將是北美。預計亞太地區將成為預測期內成長最快的地區。內容建議引擎市場報告涵蓋的地區包括亞太地區、西歐、東歐、北美、南美以及中東和非洲。

目錄

第1章執行摘要

第2章 內容建議引擎市場特點

第3章內容建議引擎市場趨勢與策略

第4章內容建議引擎市場-宏觀經濟情勢

  • 高通膨對市場的影響
  • 烏克蘭與俄羅斯戰爭對市場的影響
  • COVID-19 對市場的影響

第5章 全球內容建議引擎市場規模及成長

  • 全球市場促進因素與抑制因素
    • 市場促進因素
    • 市場抑制因素
  • 2018-2023 年全球市場規模實績與成長
  • 全球市場規模預測與成長，2023-2028、2033

第6章內容建議引擎的市場區隔

  • 全球內容建議引擎市場，依組件區隔、實績和預測，2018-2023、2023-2028F、2033F
  • 解決方案
  • 服務
  • 全球內容建議引擎市場，依過濾方法區隔，實績和預測，2018-2023、2023-2028F、2033F
  • 協同過濾
  • 基於內容的過濾
  • 混合過濾
  • 全球內容建議引擎市場，依組織規模區隔，實績與預測，2018-2023、2023-2028F、2033F
  • 中小企業
  • 主要企業
  • 全球內容建議引擎市場，依產業區隔，2018-2023、2023-2028F、2033F
  • 電子商務
  • 媒體、娛樂、遊戲
  • 零售和消費品
  • 款待
  • 資訊科技/通訊
  • BFSI
  • 教育和培訓
  • 醫療保健和製藥
  • 其他行業

第 7 章內容建議引擎市場的區域與國家分析

  • 全球內容建議引擎市場，依地區、實績和預測，2018-2023、2023-2028、至 2033
  • 全球內容建議引擎市場，依國家、實績和預測，2018-2023、2023-2028、至 2033 年

第8章亞太內容建議引擎市場

  • 概述
  • 區域資訊、COVID-19疾病的影響、市場資訊、背景資訊、政府配合措施、法規、監管機構、主要組織、課稅、企業稅務結構、投資、主要企業
  • 依組成部分、實績和預測區隔，2018-2023、2023-2028F、2033F
  • 依過濾方法區隔，實績與預測，2018-2023、2023-2028F、2033F
  • 產業區隔、實績與預測，2018-2023、2023-2028F、2033F

第9章中國內容建議引擎市場

第10章 印度內容建議引擎市場

第11章 日本內容推薦引擎市場

第12章澳洲內容建議引擎市場

第13章 印尼內容建議引擎市場

第14章韓國內容建議引擎市場

第15章西歐內容推薦引擎市場

  • 概述
  • 依組成部分、實績和預測區隔，2018-2023、2023-2028F、2033F
  • 依過濾方法區隔，實績與預測，2018-2023、2023-2028F、2033F
  • 產業區隔、實績與預測，2018-2023、2023-2028F、2033F

第16章英國內容建議引擎市場

第17章 德國內容建議引擎市場

第18章 法國內容建議引擎市場

第19章 義大利內容建議引擎市場

第20章 西班牙內容建議引擎市場

第21章 東歐內容建議引擎市場

  • 概述
  • 依組成部分、實績和預測區隔，2018-2023、2023-2028F、2033F
  • 依過濾方法區隔，實績與預測，2018-2023、2023-2028F、2033F
  • 產業區隔、實績與預測，2018-2023、2023-2028F、2033F

第22章 俄羅斯內容建議引擎市場

第23章北美內容建議引擎市場

  • 概述
  • 依組成部分、實績和預測區隔，2018-2023、2023-2028F、2033F
  • 依過濾方法區隔，實績與預測，2018-2023、2023-2028F、2033F
  • 產業區隔、實績與預測，2018-2023、2023-2028F、2033F

第24章美國內容建議引擎市場

第25章加拿大內容建議引擎市場

第26章南美洲內容建議引擎市場

  • 概述
  • 依組成部分、實績和預測區隔，2018-2023、2023-2028F、2033F
  • 依過濾方法區隔，實績與預測，2018-2023、2023-2028F、2033F
  • 產業區隔、實績與預測，2018-2023、2023-2028F、2033F

第27章 巴西內容建議引擎市場

第28章中東內容建議引擎市場

  • 概述
  • 依組成部分、實績和預測區隔，2018-2023、2023-2028F、2033F
  • 依過濾方法區隔，實績與預測，2018-2023、2023-2028F、2033F
  • 產業區隔、實績與預測，2018-2023、2023-2028F、2033F

第29章 非洲內容建議引擎市場

  • 概述
  • 依組成部分、實績和預測區隔，2018-2023、2023-2028F、2033F
  • 依過濾方法區隔，實績與預測，2018-2023、2023-2028F、2033F
  • 產業區隔、實績與預測，2018-2023、2023-2028F、2033F

第30章內容建議引擎市場競爭形勢及公司概況

  • 內容建議引擎市場競爭形勢
  • 內容建議引擎市場公司概況
    • International Business Machines Corporation（IBM）
    • Amazon Web Services Inc
    • RevContent
    • Taboola
    • Outbrain Inc

第31章 全球內容建議引擎市場競爭基準化分析

第32章全球內容建議引擎市場競爭儀錶板

第33章內容建議引擎市場的主要併購

第34章 內容建議引擎市場未來前景及潛力分析

第35章附錄

簡介目錄
Product Code: r10269

“Content Recommendation Engine Global Market Report 2024 ” 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.

Reasons to Purchase

  • Gain a truly global perspective with the most comprehensive report available on this market covering 50+ geographies.
  • Understand how the market has been affected by the COVID-19 and how it is responding as the impact of the virus abates.
  • Assess the Russia - Ukraine war's impact on agriculture, energy and mineral commodity supply and its direct and indirect impact on the market.
  • Measure the impact of high global inflation on market growth.
  • Create regional and country strategies on the basis of local data and analysis.
  • Identify growth segments for investment.
  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on the latest market shares.
  • Benchmark performance against key competitors.
  • Suitable for supporting your internal and external presentations with reliable high quality data and analysis
  • Report will be updated with the latest data and delivered to you within 3-5 working days of order along with an Excel data sheet for easy data extraction and analysis.
  • All data from the report will also be delivered in an excel dashboard format.

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.

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
  • 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.

Executive Summary

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 $5. 95 billion in 2023 to $8. 08 billion in 2024 at a compound annual growth rate (CAGR) of 35. 7%. 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 $28. 19 billion in 2028 at a compound annual growth rate (CAGR) of 36. 7%. The growth in the forecast period can be attributed to cross-platform integration, integration with voice and conversational interfaces, ai explainability 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 in the content recommendation engine market report are 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 2023. 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.

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

  • 4.1. Impact Of High Inflation On The Market
  • 4.2. Ukraine-Russia War Impact On The Market
  • 4.3. COVID-19 Impact On The Market

5. Global Content Recommendation Engine Market Size and Growth

  • 5.1. Global Content Recommendation Engine Market Drivers and Restraints
    • 5.1.1. Drivers Of The Market
    • 5.1.2. Restraints Of The Market
  • 5.2. Global Content Recommendation Engine Historic Market Size and Growth, 2018 - 2023, Value ($ Billion)
  • 5.3. Global Content Recommendation Engine Forecast Market Size and Growth, 2023 - 2028, 2033F, Value ($ Billion)

6. Content Recommendation Engine Market Segmentation

  • 6.1. Global Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Solution
  • Service
  • 6.2. Global Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Collaborative Filtering
  • Content-Based Filtering
  • Hybrid Filtering
  • 6.3. Global Content Recommendation Engine Market, Segmentation By Organization Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Small And Medium Enterprises
  • Large Enterprises
  • 6. 4. Global Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • E-Commerce
  • Media, Entertainment, And Gaming
  • Retail And Consumer Goods
  • Hospitality
  • IT And Telecommunication
  • BFSI
  • Education And Training
  • Healthcare And Pharmaceutical
  • Other Verticals

7. Content Recommendation Engine Market Regional And Country Analysis

  • 7.1. Global Content Recommendation Engine Market, Split By Region, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 7.2. Global Content Recommendation Engine Market, Split By Country, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

8. Asia-Pacific Content Recommendation Engine Market

  • 8.1. Asia-Pacific Content Recommendation Engine Market Overview
  • Region Information, Impact Of COVID-19, 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.3. Asia-Pacific Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8. 4. Asia-Pacific Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.3. China Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9. 4. China Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion

10. India Content Recommendation Engine Market

  • 10.1. India Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.2. India Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.3. India Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

11. Japan Content Recommendation Engine Market

  • 11.1. Japan Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.2. Japan Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.3. Japan Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

12. Australia Content Recommendation Engine Market

  • 12.1. Australia Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.2. Australia Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.3. Australia Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

13. Indonesia Content Recommendation Engine Market

  • 13.1. Indonesia Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.2. Indonesia Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.3. Indonesia Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

14. South Korea Content Recommendation Engine Market

  • 14.1. South Korea Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.2. South Korea Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.3. South Korea Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.3. Western Europe Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15. 4. Western Europe Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

16. UK Content Recommendation Engine Market

  • 16.1. UK Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.2. UK Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.3. UK Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

17. Germany Content Recommendation Engine Market

  • 17.1. Germany Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.2. Germany Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.3. Germany Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

18. France Content Recommendation Engine Market

  • 18. 5. France Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18. 6. France Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18. 7. France Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

19. Italy Content Recommendation Engine Market

  • 19. 9. Italy Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.10. Italy Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.11. Italy Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

20. Spain Content Recommendation Engine Market

  • 20.13. Spain Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.14. Spain Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.15. Spain Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.3. Eastern Europe Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21. 4. Eastern Europe Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

22. Russia Content Recommendation Engine Market

  • 22.1. Russia Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.2. Russia Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.3. Russia Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.3. North America Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23. 4. North America Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.3. USA Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24. 4. USA Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.3. Canada Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25. 4. Canada Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.3. South America Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26. 4. South America Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

27. Brazil Content Recommendation Engine Market

  • 27.1. Brazil Content Recommendation Engine Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.2. Brazil Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.3. Brazil Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.3. Middle East Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28. 4. Middle East Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.3. Africa Content Recommendation Engine Market, Segmentation By Filtering Approach, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29. 4. Africa Content Recommendation Engine Market, Segmentation By Vertical, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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)
      • 30.2.1.1. Overview
      • 30.2.1.2. Products and Services
      • 30.2.1.3. Strategy
      • 30.2.1. 4. Financial Performance
    • 30.2.2. Amazon Web Services Inc
      • 30.2.2.1. Overview
      • 30.2.2.2. Products and Services
      • 30.2.2.3. Strategy
      • 30.2.2. 4. Financial Performance
    • 30.2.3. RevContent
      • 30.2.3.1. Overview
      • 30.2.3.2. Products and Services
      • 30.2.3.3. Strategy
      • 30.2.3. 4. Financial Performance
    • 30.2. 4. Taboola
      • 30.2. 4.1. Overview
      • 30.2. 4.2. Products and Services
      • 30.2. 4.3. Strategy
      • 30.2. 4. 4. Financial Performance
    • 30.2. 5. Outbrain Inc
      • 30.2. 5.1. Overview
      • 30.2. 5.2. Products and Services
      • 30.2. 5.3. Strategy
      • 30.2. 5. 4. Financial Performance

31. Global Content Recommendation Engine Market Competitive Benchmarking

32. Global Content Recommendation Engine Market Competitive Dashboard

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

34. Content Recommendation Engine Market Future Outlook and Potential Analysis

  • 34.1 Content Recommendation Engine Market In 2028 - Countries Offering Most New Opportunities
  • 34.2 Content Recommendation Engine Market In 2028 - Segments Offering Most New Opportunities
  • 34. 3 Content Recommendation Engine Market In 2028 - Growth Strategies
    • 34.3.1 Market Trend Based Strategies
    • 34.3.2 Competitor Strategies

35. Appendix

  • 35.1. Abbreviations
  • 35.2. Currencies
  • 35.3. Historic And Forecast Inflation Rates
  • 35. 4. Research Inquiries
  • 35. 5. The Business Research Company
  • 35. 6. Copyright And Disclaimer