세계의 컨텐츠 추천 엔진 시장 보고서(2025년)

Content Recommendation Engine Global Market Report 2025

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한글목차

컨텐츠 추천 엔진 시장 규모는 향후 수년간 비약적인 성장이 예상됩니다. 2029년에는 CAGR 38.6%, 시장 규모는 394억 달러로 성장할 것으로 예상됩니다. 예측 기간 중 성장은 크로스 플랫폼 통합, 음성 및 대화 인터페이스와의 통합, AI 설명 능력과 투명성, 컨텍스트에 따른 추천, 개인정보 보호 강화, 동적 사용자 프로파일에 기인합니다. 예측 기간의 주요 동향으로는 개인화의 시작, 데이터 분석 및 머신러닝의 진보, 스트리밍 플랫폼과의 통합, 크로스 플랫폼 추천, 컨텍스트를 고려한 추천 등이 있습니다.

급속한 디지털화는 컨텐츠 추천 엔진 시장의 성장을 가속할 것으로 예상됩니다. 디지털화란 다양한 디지털 기술의 활용과 디지털 액세스 증가로 비즈니스 모델과 가치를 창출할 수 있는 기회를 변화시켜 고수익을 창출하는 것입니다. 예를 들어 프랑스를 기반으로 한 정부 간 기관인 국제 에너지 기관(IEA)에 따르면 2023년 3월 선진국에서는 디지털화 수준이 평균 6% 상승했습니다. 주목할 점은 디지털화가 진행된 분야에서는 디지털화 수준의 75퍼센타일과 25퍼센타일을 비교했을 경우 노동 생산성 손실이 20%나 크게 감소한 것입니다. 컨텐츠 추천 엔진은 비즈니스 운영을 최적화하고, 최대의 고객을 끌어들이고, 고객 참여도를 높이고, 높은 수익을 올리기 위해 많은 기업에서 널리 사용됩니다. 전자상거래 플랫폼 및 이메일 마케팅을 위한 개인화된 솔루션을 제공하는 이스라엘 기업 Barrilliance Ltd.가 발표한 기사에 따르면 2021년 9월에는 전자상거래 수익의 약 31%가 상품 추천에서 나온다고 합니다. 따라서 비즈니스의 급속한 디지털화는 컨텐츠 추천 엔진 시장의 성장을 가속하고 있습니다.

인터넷 사용자 증가는 향후 컨텐츠 추천 엔진 시장의 성장을 뒷받침할 것으로 예상됩니다. 인터넷 사용자는 웹사이트 탐색, 이메일 송수신, 온라인 용도 사용, 소셜 미디어 참여, 설문 조사, 디지털 컨텐츠 액세스 등 다양한 목적으로 인터넷에 액세스하고 사용하는 개인을 의미합니다. 인터넷 사용자 증가는 컨텐츠 추천 엔진에 더 많은 데이터, 더 나은 개인화 기회, 더 광범위한 사용자 기반을 제공합니다. 예를 들어 스위스에 본부를 두는 전문기관인 국제통신연합이 2022년 11월 발표한 보고서에 따르면 2022년에는 세계 인구의 66%를 차지하는 53억명이 인터넷을 이용할 것으로 추정되고 있습니다. 이는 2021년부터 성장률 6.1%를 반영합니다. 따라서 인터넷 사용자 증가는 컨텐츠 추천 엔진 시장의 성장을 이끌고 있습니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 - 금리, 인플레이션, 지정학, 코로나, 회복이 시장에 미치는 영향을 포함한 거시 경제 시나리오

제5장 세계의 성장 분석과 전략 분석 프레임워크

• 세계 컨텐츠 추천 엔진 시장의 PESTEL 분석(정치, 사회, 기술, 환경, 법적 요인, 촉진요인, 억제요인)
• 최종 이용 산업의 분석
• 세계 컨텐츠 추천 엔진 시장의 성장률 분석
• 세계 컨텐츠 추천 엔진 시장 실적 : 규모와 성장, 2019-2024년
• 세계 컨텐츠 추천 엔진 시장 예측 : 규모와 성장, 2024-2029년, 2034년
• 세계 컨텐츠 추천 엔진 전체 시장 규모(TAM)

제6장 시장 세분화

• 세계의 컨텐츠 추천 엔진 시장 : 컴포넌트별, 분석과 예측, 2019-2024년, 2024-2029년, 2034년
• 솔루션
• 서비스
• 세계의 컨텐츠 추천 엔진 시장 : 필터링 어프로치별, 분석과 예측, 2019-2024년, 2024-2029년, 2034년
• 협력 필터링
• 컨텐츠 기반 필터링
• 하이브리드 필터링
• 세계의 컨텐츠 추천 엔진 시장 : 조직 규모별, 분석과 예측, 2019-2024년, 2024-2029년, 2034년
• 중소기업
• 대기업
• 세계의 컨텐츠 추천 엔진 시장 : 업계별, 분석과 예측, 2019-2024년, 2024-2029년, 2034년
• 전자상거래
• 미디어, 엔터테인먼트, 게임
• 소매 및 소비재
• 접객
• IT 및 통신
• BFSI
• 교육 및 트레이닝
• 헬스케어 및 의약품
• 기타 업종
• 세계의 컨텐츠 추천 엔진 시장 : 솔루션의 서브 세분화: 유형별, 분석과 예측, 2019-2024년, 2024-2029년, 2034년
• 개인화 엔진
• 추천 알고리즘
• 분석 및 보고 도구
• 통합 소프트웨어
• 세계의 컨텐츠 추천 엔진 시장 : 서비스의 서브 세분화: 유형별, 분석과 예측, 2019-2024년, 2024-2029년, 2034년
• 컨설팅 서비스
• 구현 서비스
• 지원 및 유지보수 서비스
• 트레이닝 서비스

제7장 지역별·국가별 분석

• 세계의 컨텐츠 추천 엔진 시장 : 지역별, 분석과 예측, 2019-2024년, 2024-2029년, 2034년
• 세계의 컨텐츠 추천 엔진 시장 : 국가별, 분석과 예측, 2019-2024년, 2024-2029년, 2034년

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도와 기업 프로파일

• 컨텐츠 추천 엔진 시장 : 경쟁 구도
• 컨텐츠 추천 엔진 시장 : 기업 프로파일
  • 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

제31장 기타 주요 기업 및 혁신 기업

• 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.

제32장 세계 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병(M&A)

제34장 시장의 최근 동향

제35장 시장의 잠재력이 높은 국가, 부문, 전략

• 컨텐츠 추천 엔진 시장 2029년 - 가장 새로운 기회를 제공하는 국가
• 컨텐츠 추천 엔진 시장 2029년 - 가장 새로운 기회를 제공하는 부문
• 컨텐츠 추천 엔진 시장 2029년 - 성장 전략
  • 시장 동향에 기초한 전략
  • 경쟁 전략

제36장 부록

JHS

영문 목차

영문목차

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

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