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市场调查报告书
商品编码
1840196

2025年全球内容建议引擎市场报告

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个工作天内

价格
简介目录

近年来，内容建议引擎市场快速扩张，市场规模从2024年的79.3亿美元成长到2025年的106亿美元，复合年增长率高达33.6%。这段历史时期的成长可归因于数位内容数量的成长、用户参与度和留存率的提升、个人化趋势以及串流媒体服务的竞争。

内容建议引擎市场规模预计在未来几年将呈指数级增长，到2029年将达到386.4亿美元，复合年增长率为38.2%。预测期内的成长归因于跨平台整合、与语音和对话介面的整合、AI的可解释性和透明度、情境建议、增强的隐私保护措施以及动态使用者檔案。预测期内的主要趋势包括个人化的兴起、数据分析和机器学习的进步、与串流媒体平台的整合、跨平台建议以及情境感知建议。

内容建议引擎是一个平台，它利用资料收集、储存、分析和过滤功能，为网站访客提供个人化的内容和提案，从而优化访客体验，并提升浏览量和购买量。内容建议引擎基于使用者的网站存取记录和使用者个人资料，预测使用者行为，并推荐客户可能消费或参与的内容、产品和服务。

内容建议引擎的主要组成部分包括解决方案和服务。内容建议引擎解决方案包括网站开发服务、设备应用开发服务和软体开发。内容建议引擎的过滤方法包括协同过滤、基于内容的过滤和混合过滤。内容推荐引擎的应用范围广泛，从中小型企业到大型企业，不一而足。垂直行业包括电子商务、媒体和娱乐、游戏、零售和消费品、酒店、I​​ 和通讯、金融服务、保险和保险业 (BFSI)、教育和培训、医疗保健和製药等。

2025年春季美国突然提高关税以及由此引发的贸易摩擦对资讯科技产业产生了重大影响，尤其是硬体製造、资料基础设施和软体部署。对进口半导体、电路基板和网路设备征收更高的关税，并推高了高科技公司、云端服务供应商和资料中心的生产和营运成本。在全球范围内采购笔记型电脑、伺服器和消费电子产品零件的公司面临更长的前置作业时间和价格压力。同时，对专业软体征收的关税以及主要国际市场的报復性措施扰乱了全球IT供应链，减少了海外对美国製造技术的需求。作为应对措施，该行业正在增加对国内晶片生产的投资，扩大供应商网络，并利用人工智慧驱动的自动化来提高弹性并更有效地管理成本。

内容建议引擎市场研究报告是商业研究公司 (The Business Research Company) 最新发布的系列报告之一，提供内容建议引擎市场统计数据，例如内容建议引擎行业的全球市场规模、各地区份额、内容建议引擎市场份额的竞争对手、详细的建议建议市场研究报告对产业现状和未来趋势进行了详细分析，为您提供所需的一切资讯的完整展望。

未来五年38.2%的成长预测，较我们先前对该市场的预测略有下降0.4%。下降的主要原因是美国与其他国家之间的关税影响。关税将增加来自亚太地区的GPU驱动的AI模型和即时推理平台的成本，这可能会延迟美国的建议引擎更新。

由于互惠关税以及贸易紧张局势和限制加剧对全球经济和贸易的负面影响，其影响也可能更为广泛。

快速数位化有望推动内容建议引擎市场的成长。数位化是指透过使用各种数位技术和增加数位存取来转变经营模式和价值创造机会，从而产生高收益。例如，根据总部位于法国的政府间组织国际能源总署 (IEA) 的数据，已开发国家在 2023 年 3 月的数位化水准平均成长了 6%。值得注意的是，将第 75 个百分位数与第 25 个百分位数进行比较时，高度数位化产业的劳动数位化损失显着减少了 20%。许多公司广泛使用内容建议引擎来优化业务营运、最大限度地客户参与并创造更高的收益。根据为电子商务平台和电子邮件行销提供个人化解决方案的以色列公司 Barilliance Ltd. 发表的报导，到 2021 年 9 月，大约 31% 的电子商务收益将来自产品建议。因此，商业的快速数位化正在推动内容建议引擎市场的成长。

预计未来网路用户数量的成长将推动内容建议引擎市场的成长。网路用户是指出于各种目的存取和使用网路的个人，例如浏览网站、收发电子邮件、使用线上应用程式、参与社交媒体、进行研究以及存取数位内容。网路用户的增加为内容推荐引擎提供了更多的数据、更好的个人化机会和更广泛的用户群，共同导致各行业对这些系统的需求增加。例如，根据瑞士专家组织通讯2022 年 11 月的报告，估计到 2022 年，将有 53 亿人（占世界人口的 66%）使用网路。这反映了 2021 年 6.1% 的成长率。因此，网路用户的增加正在推动内容建议引擎市场的成长。

新产品创新是内容建议引擎市场日益普及的关键趋势。在内容建议引擎市场中营运的主要企业正专注于产品创新，透过为线上业务平台提供更好的建议解决方案来巩固其市场地位。例如，为电子商务平台提供个人化解决方案的美国公司 Algolia 于 2022 年 6 月推出了一个基于混合过滤和人工智慧相结合的高级推荐平台，称为 Algolia Recommendation Spring。混合过滤技术使用两种过滤技术来弥合预测过程中的差距，包括基于使用者当前兴趣的基于内容的过滤和基于使用者偏好和行为的协同过滤。这种组合可以提供准确的预测。该平台是一个基于人工智慧的建议引擎，与搜寻和发现平台集成，以提供相关且可操作的建议，以与用户建立联繫并提高客户参与。

内容建议引擎市场由提供内容推荐引擎的实体所获得的收益构成，这些引擎用于收集和分析基于使用者行为的资料。该市场的价值指的是“出厂价”，即商品建议或创造者销售给其他实体（包括下游製造商、批发商、经销商和零售商）或直接销售给最终客户的价值。该市场中的商品价值还包括商品创造者销售的任何相关服务。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 市场：宏观经济情景，包括利率、通膨、地缘政治、贸易战和关税，以及新冠疫情和復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球内容建议引擎：PESTEL分析（政治、社会、科技、环境、法律因素、驱动因素与限制因素）
  • 最终用途产业分析
  • 全球内容建议引擎市场：成长率分析
  • 全球内容建议引擎市场表现：规模与成长，2019-2024
  • 全球内容建议引擎市场预测：规模与成长，2024-2029 年，2034 年
  • 全球内容建议引擎：总可寻址市场（TAM）

第六章 市场细分

  • 全球内容建议引擎市场：按组件、实际和预测，2019-2024 年、2024-2029 年、2034 年
  • 解决方案
  • 服务
  • 全球内容建议引擎市场（按过滤方法）：2019-2024 年、2024-2029 年、2034 年实际及预测
  • 协同过滤
  • 基于内容的过滤
  • 混合过滤
  • 全球内容建议引擎市场：依组织规模、实际与预测，2019-2024 年、2024-2029 年、2034 年
  • 小型企业
  • 大公司
  • 全球内容建议引擎市场：按产业、实际结果和预测，2019-2024 年、2024-2029 年、2034 年
  • 电子商务
  • 媒体、娱乐和游戏
  • 零售和消费品
  • 饭店业
  • 资讯科技/通讯
  • BFSI
  • 教育和培训
  • 医疗保健和製药
  • 其他行业
  • 全球内容建议引擎市场：按解决方案类型细分、实际结果和预测，2019-2024 年、2024-2029 年、2034 年
  • 个人化引擎
  • 推荐演算法
  • 分析和报告工具
  • 整合软体
  • 全球内容建议引擎市场：按服务类型、实际和预测细分，2019-2024 年、2024-2029 年、2034 年
  • 咨询服务
  • 实施服务
  • 支援和维护服务
  • 培训服务

第七章 区域和国家分析

  • 全球内容建议引擎市场：按地区、实际结果和预测，2019-2024 年、2024-2029 年、2034 年
  • 全球内容建议引擎市场：按国家、实际结果和预测，2019-2024 年、2024-2029 年、2034 年

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章：澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章 西欧市场

第十六章英国市场

第十七章：德国市场

第18章：法国市场

第十九章：义大利市场

第20章：西班牙市场

第21章 东欧市场

第22章：俄罗斯市场

第23章 北美市场

第24章美国市场

第25章：加拿大市场

第26章 南美洲市场

第27章：巴西市场

第28章 中东市场

第29章：非洲市场

第30章：竞争格局与公司概况

  • 内容建议引擎市场：竞争格局
  • 内容建议引擎市场：公司简介
    • 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：其他领先和创新企业

  • 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 章全球市场竞争基准化分析与仪表板

第33章 重大併购

第34章近期市场趋势

第 35 章：高潜力市场国家、细分市场与策略

  • 2029 年内容建议引擎市场：提供新机会的国家
  • 2029年内容建议引擎市场：细分领域带来新机会
  • 2029年内容建议引擎市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手策略

第36章 附录

简介目录
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.

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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, 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