查看購物車
  • Simplified Chinese
  • English
  • Japanese
封面
市場調查報告書
商品編碼
1840196

2025年全球內容建議引擎市場報告

Content Recommendation Engine Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10個工作天內

價格
簡介目錄

近年來，內容建議引擎市場快速擴張，市場規模從2024年的79.3億美元成長到2025年的106億美元，複合年成長率高達33.6%。這段歷史時期的成長可歸因於數位內容數量的成長、用戶參與度和留存率的提升、個人化趨勢以及串流媒體服務的競爭。

內容建議引擎市場規模預計在未來幾年將呈指數級成長，到2029年將達到386.4億美元，複合年成長率為38.2%。預測期內的成長歸因於跨平台整合、與語音和對話介面的整合、AI的可解釋性和透明度、情境建議、增強的隱私保護措施以及動態使用者檔案。預測期內的主要趨勢包括個人化的興起、數據分析和機器學習的進步、與串流媒體平台的整合、跨平台建議以及情境感知建議。

內容建議引擎是一個平台，它利用資料收集、儲存、分析和過濾功能，為網站訪客提供個人化的內容和提案，從而最佳化訪客體驗，並提升瀏覽量和購買量。內容建議引擎基於使用者的網站存取記錄和使用者個人資料，預測使用者行為，並推薦客戶可能消費或參與的內容、產品和服務。

內容建議引擎的主要組成部分包括解決方案和服務。內容建議引擎解決方案包括網站開發服務、設備應用開發服務和軟體開發。內容建議引擎的過濾方法包括協同過濾、基於內容的過濾和混合過濾。內容推薦引擎的應用範圍廣泛，從中小型企業到大型企業，不一而足。垂直行業包括電子商務、媒體和娛樂、遊戲、零售和消費品、酒店、I​​ 和通訊、金融服務、保險和保險業 (BFSI)、教育和培訓、醫療保健和製藥等。

2025年春季美國突然提高關稅以及由此引發的貿易摩擦對資訊科技產業產生了重大影響，尤其是硬體製造、資料基礎設施和軟體部署。對進口半導體、電路基板和網路設備徵收更高的關稅，並推高了高科技公司、雲端服務供應商和資料中心的生產和營運成本。在全球範圍內採購筆記型電腦、伺服器和消費電子產品零件的公司面臨更長的前置作業時間和價格壓力。同時，對專業軟體徵收的關稅以及主要國際市場的報復性措施擾亂了全球IT供應鏈，減少了海外對美國製造技術的需求。作為應對措施，該行業正在增加對國內晶片生產的投資，擴大供應商網路，並利用人工智慧驅動的自動化來提高彈性並更有效地管理成本。

內容建議引擎市場研究報告是商業研究公司 (The Business Research Company) 最新發布的系列報告之一，提供內容建議引擎市場統計數據，例如內容建議引擎行業的全球市場規模、各地區佔有率、內容建議引擎市場佔有率的競爭對手、詳細的建議建議市場研究報告對產業現狀和未來趨勢進行了詳細分析，為您提供所需的一切資訊的完整展望。

未來五年38.2%的成長預測，較我們先前對該市場的預測略有下降0.4%。下降的主要原因是美國與其他國家之間的關稅影響。關稅將增加來自亞太地區的GPU驅動的AI模型和即時推理平台的成本，這可能會延遲美國的建議引擎更新。

由於互惠關稅以及貿易緊張局勢和限制加劇對全球經濟和貿易的負面影響，其影響也可能更為廣泛。

快速數位化有望推動內容建議引擎市場的成長。數位化是指透過使用各種數位技術和增加數位存取來轉變經營模式和價值創造機會，從而產生高收益。例如，根據總部位於法國的政府間組織國際能源總署 (IEA) 的數據，已開發國家在 2023 年 3 月的數位化水準平均成長了 6%。值得注意的是，將第 75 個百分位數與第 25 個百分位數進行比較時，高度數位化產業的勞動數位化損失顯著減少了 20%。許多公司廣泛使用內容建議引擎來最佳化業務營運、最大限度地客戶參與並創造更高的收益。根據為電子商務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，大約 31% 的電子商務收益將來自產品建議。因此，商業的快速數位化正在推動內容建議引擎市場的成長。

預計未來網路用戶數量的成長將推動內容建議引擎市場的成長。網路用戶是指出於各種目的存取和使用網路的個人，例如瀏覽網站、收發電子郵件、使用線上應用程式、參與社交媒體、進行研究以及存取數位內容。網路用戶的增加為內容推薦引擎提供了更多的數據、更好的個人化機會和更廣泛的用戶群，共同導致各行業對這些系統的需求增加。例如，根據瑞士專家組織通訊2022 年 11 月的報告，估計到 2022 年，將有 53 億人（佔世界人口的 66%）使用網路。這反映了 2021 年 6.1% 的成長率。因此，網路用戶的增加正在推動內容建議引擎市場的成長。

新產品創新是內容建議引擎市場日益普及的關鍵趨勢。在內容建議引擎市場中營運的主要企業正專注於產品創新，透過為線上業務平台提供更好的建議解決方案來鞏固其市場地位。例如，為電子商務平台提供個人化解決方案的美國公司 Algolia 於 2022 年 6 月推出了一個基於混合過濾和人工智慧相結合的高級推薦平台，稱為 Algolia Recommendation Spring。混合過濾技術使用兩種過濾技術來彌合預測過程中的差距，包括基於使用者當前興趣的基於內容的過濾和基於使用者偏好和行為的協同過濾。這種組合可以提供準確的預測。該平台是一個基於人工智慧的建議引擎，與搜尋和發現平台整合，以提供相關且可操作的建議，以與用戶建立聯繫並提高客戶參與。

內容建議引擎市場由提供內容推薦引擎的實體所獲得的收益構成，這些引擎用於收集和分析基於使用者行為的資料。該市場的價值指的是“出廠價”，即商品建議或創造者銷售給其他實體（包括下游製造商、批發商、經銷商和零售商）或直接銷售給最終客戶的價值。該市場中的商品價值還包括商品創造者銷售的任何相關服務。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場：宏觀經濟情景，包括利率、通膨、地緣政治、貿易戰和關稅，以及新冠疫情和復甦對市場的影響

第5章 全球成長分析與策略分析框架

  • 全球內容建議引擎：PESTEL分析（政治、社會、科技、環境、法律因素、促進因素與限制因素）
  • 最終用途產業分析
  • 全球內容建議引擎市場：成長率分析
  • 全球內容建議引擎市場表現：規模與成長，2019-2024
  • 全球內容建議引擎市場預測：規模與成長，2024-2029 年，2034 年
  • 全球內容建議引擎：總可尋址市場（TAM）

第6章 市場細分

  • 全球內容建議引擎市場：按組件、實際和預測，2019-2024 年、2024-2029 年、2034 年
  • 解決方案
  • 服務
  • 全球內容建議引擎市場（按過濾方法）：2019-2024 年、2024-2029 年、2034 年實際及預測
  • 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、實際與預測，2019-2024 年、2024-2029 年、2034 年
  • 小型企業
  • 主要企業
  • 全球內容建議引擎市場：按產業、實際結果和預測，2019-2024 年、2024-2029 年、2034 年
  • 電子商務
  • 媒體、娛樂和遊戲
  • 零售和消費品
  • 飯店業
  • 資訊科技/通訊
  • BFSI
  • 教育和培訓
  • 醫療保健和製藥
  • 其他行業
  • 全球內容建議引擎市場：按解決方案類型細分、實際結果和預測，2019-2024 年、2024-2029 年、2034 年
  • 個人化引擎
  • 推薦演算法
  • 分析和報告工具
  • 整合軟體
  • 全球內容建議引擎市場：按服務類型、實際和預測細分，2019-2024 年、2024-2029 年、2034 年
  • 諮詢服務
  • 實施服務
  • 支援和維護服務
  • 培訓服務

第7章 區域和國家分析

  • 全球內容建議引擎市場：按地區、實際結果和預測，2019-2024 年、2024-2029 年、2034 年
  • 全球內容建議引擎市場：按國家、實際結果和預測，2019-2024 年、2024-2029 年、2034 年

第8章 亞太市場

第9章：中國市場

第10章 印度市場

第11章 日本市場

第12章：澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第17章：德國市場

第18章：法國市場

第19章：義大利市場

第20章：西班牙市場

第21章 東歐市場

第22章：俄羅斯市場

第23章 北美市場

第24章美國市場

第25章：加拿大市場

第26章 南美洲市場

第27章：巴西市場

第28章 中東市場

第29章：非洲市場

第30章：競爭格局與公司概況

  • 內容建議引擎市場：競爭格局
  • 內容建議引擎市場：公司簡介
    • 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：其他領先和創新企業

  • 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 章全球市場競爭基準化分析與儀表板

第33章 重大併購

第34章近期市場趨勢

第 35 章：高潛力市場國家、細分市場與策略

  • 2029 年內容建議引擎市場：提供新機會的國家
  • 2029年內容建議引擎市場：細分領域帶來新機會
  • 2029年內容建議引擎市場：成長策略
    • 基於市場趨勢的策略
    • 競爭對手策略

第36章 附錄

簡介目錄
Product Code: r21302u

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.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp rise in U.S. tariffs and the ensuing trade tensions in spring 2025 are having a significant impact on the information technology sector, especially in hardware manufacturing, data infrastructure, and software deployment. Increased duties on imported semiconductors, circuit boards, and networking equipment have driven up production and operating costs for tech companies, cloud service providers, and data centers. Firms that depend on globally sourced components for laptops, servers, and consumer electronics are grappling with extended lead times and mounting pricing pressures. At the same time, tariffs on specialized software and retaliatory actions by key international markets have disrupted global IT supply chains and dampened foreign demand for U.S.-made technologies. In response, the sector is ramping up investments in domestic chip production, broadening its supplier network, and leveraging AI-powered automation to improve resilience and manage costs more effectively.

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 $10.6 billion in 2025 at a compound annual growth rate (CAGR) of 33.6%. 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 $38.64 billion in 2029 at a compound annual growth rate (CAGR) of 38.2%. 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 forecast of 38.2% growth over the next five years reflects a modest reduction of 0.4% from the previous estimate for this market. This reduction is primarily due to the impact of tariffs between the US and other countries. The US may experience slower updates to recommendation engines as tariffs increase costs of GPU-powered AI models and real-time inference platforms sourced from Asia-Pacific.

The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

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.

Reasons to Purchase

  • Gain a truly global perspective with the most comprehensive report available on this market covering 15 geographies.
  • Assess the impact of key macro factors such as geopolitical conflicts, trade policies and tariffs, post-pandemic supply chain realignment, inflation and interest rate fluctuations, and evolving regulatory landscapes.
  • 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 2-3 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, including technological disruption, regulatory shifts, and changing consumer preferences? 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 technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

  • 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.
  • 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; 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
  • 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, Trade Wars and Tariffs, And Covid And Recovery On The Market

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

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