封面
市场调查报告书
商品编码
1680869

2025年全球基于人工智慧的建议系统市场报告

AI-Based Recommendation System Global Market Report 2025

出版日期: | 出版商: The Business Research Company | 英文 200 Pages | 商品交期: 2-10个工作天内

价格
简介目录

预计未来几年基于人工智慧的建议系统的市场规模将快速成长。到 2029 年,这一数字将成长至 36.2 亿美元,复合年增长率为 10.3%。预测期内成长的主要驱动力包括串流媒体服务的采用率不断提高、医疗保健领域建议系统的扩展、合规和监管要求、数位广告的成长以及内容传递网路(CDNS) 的最佳化。预测期内的关键趋势包括个人化主导、即时建议、自适应学习模型、多模态建议、增强的使用者回馈机制和社会影响分析。

展望未来,智慧型设备的普及有望推动基于人工智慧的建议系统市场的成长。数位广告涉及透过网站和串流内容等线上平台进行行销,并包括文字、图像、音讯和影片等多种媒体格式。数位广告的成长得益于其接触受众、提供定位能力、实现可衡量的结果、维持成本效益和提供个人化的能力。基于人工智慧的建议系统在数位广告中发挥着至关重要的作用,它增强了定位性、个人化和整体宣传活动的效果,从而提高了用户参与度和转换率。例如,2024年8月,美国科技公司Kochava Inc.报告称,预计2024年美国广告商将在数位户外(DOOH)广告上花费31亿美元,与前一年同期比较增长28%。因此,智慧型设备的广泛使用正在促进基于人工智慧的建议系统市场的成长。

基于人工智慧的建议系统市场主要企业正在积极创新建议系统支援等技术,以提高建议引擎的效率和有效性。这些系统使用演算法和软体工具来分析使用者资料和偏好,以针对产品、服务、内容和其他兴趣产生客製化的建议。作为此类创新的一个例子,美国人工智慧效能平台 Arthur 于 2024 年 1 月宣布支援推荐系统,预示着人工智慧技术的重大进步。这项变革性技术旨在彻底改变线上企业使用推荐系统的方式,以提高客户满意度并推动收益成长。该解决方案利用人工智慧功能,提高了建议引擎的准确性和可自订性,并包括模型概览页面、指标仪表板、资料漂移监控、进阶查询和过滤等功能,以透过个人化建议改善整体使用者体验。

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、新冠疫情以及復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球基于人工智慧的建议系统PESTEL分析(政治、社会、技术、环境、法律因素、驱动因素、限制因素)
  • 最终用途产业分析
  • 全球基于人工智慧的建议系统市场:成长率分析
  • 全球基于人工智慧的建议系统市场表现:规模与成长,2019-2024
  • 全球基于人工智慧的建议系统市场预测:规模与成长,2024-2029 年,2034 年
  • 全球基于人工智慧的建议系统总可寻址市场(TAM)

第六章市场区隔

  • 全球基于人工智慧的建议系统市场(按类型、效能和预测),2019-2024 年、2024-2029 年、2034 年
  • 协同过滤
  • 基于内容的过滤
  • 推荐混合
  • 全球人工智慧建议系统市场(按部署模式、效能和预测),2019-2024 年、2024-2029 年、2034 年
  • 本地
  • 全球人工智慧建议系统市场(按应用、效能及预测),2019-2024 年、2024-2029 年、2034 年
  • 电商平台
  • 线上教育
  • 社群网路
  • 金融
  • 新闻与媒体
  • 卫生保健
  • 其他用途
  • 全球基于人工智慧的建议系统市场、协同过滤细分市场、类型、效能和预测(2019-2024 年、2024-2029 年及 2034 年)
  • 基于使用者的协同过滤
  • 基于专案的协同过滤
  • 基于记忆的协同过滤
  • 基于模型的协同过滤
  • 全球基于人工智慧的建议系统市场,按基于内容的过滤细分,按类型、实际和预测,2019-2024 年、2024-2029 年、2034 年
  • 基于设定檔的内容过滤
  • 基于属性的内容过滤
  • 基于模型的内容过滤
  • 全球基于人工智慧的建议系统市场、混合推荐细分、按类型、实际和预测,2019-2024 年、2024-2029 年、2034 年
  • 混合协作和基于内容的过滤
  • 基于整合的混合推荐
  • 基于知识的混合推荐

第七章 区域和国家分析

  • 全球人工智慧建议系统市场:按地区、绩效及预测,2019-2024 年、2024-2029 年、2034 年
  • 全球人工智慧建议系统市场:按国家、绩效及预测,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

第十八章 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

  • 以人工智慧为基础的建议系统市场:竞争格局
  • 基于人工智慧的建议系统市场:公司简介
    • Alphabet Inc Overview, Products and Services, Strategy and Financial Analysis
    • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Alibaba Group Holding Limited(Alibaba)Overview, Products and Services, Strategy and Financial Analysis
    • Meta Platforms Inc Overview, Products and Services, Strategy and Financial Analysis
    • Amazon Web Services Overview, Products and Services, Strategy and Financial Analysis

第31章 其他大型创新企业

  • Huawei Technologies Co. Ltd
  • Tencent Holdings Limited
  • Intel Corporation
  • International Business Machines Corporation
  • Oracle Corp
  • SAP SE
  • Netflix
  • Hewlett Packard Enterprise(HPE)
  • Salesforce Inc
  • Adobe Inc
  • Sentient Technologies
  • RecomTech
  • Kibo Commerce
  • SmartRecs
  • AIRecom

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 高市场潜力国家、细分市场与策略

  • 2029 年人工智慧建议系统市场:提供新机会的国家
  • 2029 年基于人工智慧的建议系统市场:细分领域将带来新机会
  • 2029 年基于人工智慧的建议系统市场:成长策略
    • 基于市场趋势的策略
    • 竞争对手的策略

第36章 附录

简介目录
Product Code: r27292

An AI-based recommendation system refers to a technology leveraging artificial intelligence (AI) algorithms and machine learning techniques to analyze extensive datasets, user preferences, and behavioral patterns. Its objective is to furnish personalized recommendations and suggestions to users. By tailoring suggestions to individual preferences, interests, and needs, these systems amplify user experiences, boost engagement, and elevate customer satisfaction levels across diverse industries and applications.

The primary types of AI-based recommendation systems include collaborative filtering, content-based filtering, and hybrid recommendation approaches. Collaborative filtering, a pivotal technique in recommendation systems, predicts a user's preference for an item by analyzing the preferences or behaviors of other users. Its deployments span across on-premise and cloud environments, with applications extending to diverse sectors such as e-commerce platforms, online education, social networking, finance, news and media, healthcare, among others.

The AI-based recommendation system market research report is one of a series of new reports from The Business Research Company that provides AI-based recommendation system market statistics, including AI-based recommendation system industry global market size, regional shares, competitors with a AI-based recommendation system market share, detailed AI-based recommendation system market segments, market trends and opportunities, and any further data you may need to thrive in the AI-based recommendation system industry. This AI-based recommendation system market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The AI-based recommendation system market size has grown rapidly in recent years. It will grow from $2.21 billion in 2024 to $2.44 billion in 2025 at a compound annual growth rate (CAGR) of 10.5%. The growth in the historic period can be attributed to increasing demand for personalized recommendations, increasing data availability, demand for efficient workforce management, growth in e-commerce, demand for cross-selling and upselling, application in education and e-learning.

The AI-based recommendation system market size is expected to see rapid growth in the next few years. It will grow to $3.62 billion in 2029 at a compound annual growth rate (CAGR) of 10.3%. The growth in the forecast period can be attributed to rising adoption of streaming services, expansion of recommendation systems in healthcare, compliance and regulatory requirements, expansion of digital advertising, optimization of content delivery networks (CDNS). Major trends in the forecast period include personalization dominance, real-time recommendations, adaptive learning models, multi-modal recommendations, enhanced user feedback mechanisms, social influence analysis.

The increasing adoption of smart devices is projected to drive the growth of the AI-based recommendation system market in the future. Digital advertising encompasses marketing through online platforms, such as websites and streaming content, and includes various media formats like text, images, audio, and video. The growth of digital advertising is fueled by its ability to reach audiences, provide targeting capabilities, deliver measurable results, maintain cost-effectiveness, and offer personalization. AI-based recommendation systems play a crucial role in digital advertising by enhancing targeting, personalization, and overall campaign effectiveness, which in turn boosts user engagement and conversion rates. For instance, in August 2024, Kochava Inc., a US-based technology company, reported that US advertisers are anticipated to spend $3.1 billion on digital out-of-home (DOOH) advertising in 2024, representing a 28% increase from the previous year. Therefore, the rising adoption of smart devices is contributing to the growth of the AI-based recommendation system market.

Prominent players in the AI-based recommendation system market are actively innovating technologies such as recommender system support to elevate the efficiency and efficacy of recommendation engines. These systems, powered by algorithms or software tools, analyze user data and preferences to generate tailored recommendations for products, services, content, or other items of interest. An illustration of such innovation is the January 2024 launch of recommender system support by Arthur, a US-based AI performance platform, heralding a significant advancement in AI technology. This novel technology aims to revolutionize the utilization of recommender systems in online businesses, elevating customer satisfaction levels and driving revenue growth. Leveraging AI capabilities, this solution enhances recommendation engines' accuracy and customization, featuring functionalities such as model overview page, metrics dashboard, data drift monitoring, advanced querying, and filtering, thereby enhancing the overall user experience through personalized recommendations.

The increasing adoption of smart devices is anticipated to drive the growth of the AI-based recommendation system market in the future. Smart devices are electronic gadgets connected to the internet that enable users to remotely control, monitor, and automate tasks, significantly enhancing convenience and efficiency in daily life. Several factors contribute to the rising adoption of smart devices, including improved connectivity, convenience, and cost savings. AI systems engage users by offering personalized content and suggestions, enhancing their overall experience and encouraging them to explore and adopt additional smart devices. For example, in October 2024, Demandsage, a US-based automated reporting platform that utilizes data science to provide real insights, reported that by 2022, the percentage of smartphone users in the United States reached 76.5%, marking a 3.8% increase compared to the previous year. Thus, the rising adoption of smart devices is fueling the growth of the AI-based recommendation system market.

Major companies operating in the AI-based recommendation system market are Alphabet Inc., Microsoft Corporation, Alibaba Group Holding Limited (Alibaba), Meta Platforms Inc., Amazon Web Services, Huawei Technologies Co. Ltd., Tencent Holdings Limited, Intel Corporation, International Business Machines Corporation, Oracle Corp, SAP SE, Netflix, Hewlett Packard Enterprise (HPE), Salesforce Inc., Adobe Inc., Sentient Technologies, RecomTech, Kibo Commerce, SmartRecs, AIRecom, IntelliChoice, Unbxd Inc., Coveo Solutions Inc., Algonomy Software Pvt. Ltd., Recolize GmbH, Dynamic Yield Inc., IntelliSuggest, RecomAId, SuggestAI, AIAdvise

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

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

The AI-based recommendation system market consists of revenues earned by entities by providing services such as data collection, data preprocessing, machine learning models, algorithm training and tuning, feedback collection and analysis, monitoring, and maintenance. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI-based recommendation system market also includes sales of data storage systems, data processing tools, user interfaces, feedback loops, ranking and filtering, and feature extraction. 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.

AI-Based Recommendation System 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 ai-based recommendation system 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 ai-based recommendation system ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The ai-based recommendation system 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 Type: Collaborative Filtering; Content Based Filtering; Hybrid Recommendation
  • 2) By Deployment Mode: On-Premise; Cloud
  • 3) By Application: E-Commerce Platform; Online Education; Social Networking; Finance; News And Media; Health Care; Other Applications
  • Subsegments:
  • 1) By Collaborative Filtering: User-Based Collaborative Filtering; Item-Based Collaborative Filtering; Memory-Based Collaborative Filtering; Model-Based Collaborative Filtering
  • 2) By Content-Based Filtering: Profile-Based Content Filtering; Attribute-Based Content Filtering; Model-Based Content Filtering
  • 3) By Hybrid Recommendation: Hybrid Collaborative And Content-Based Filtering; Ensemble-Based Hybrid Recommendation; Knowledge-Based Hybrid Recommendation
  • Companies Mentioned: Alphabet Inc; Microsoft Corporation; Alibaba Group Holding Limited (Alibaba); Meta Platforms Inc; Amazon Web Services
  • 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. AI-Based Recommendation System Market Characteristics

3. AI-Based Recommendation System Market Trends And Strategies

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

5. Global AI-Based Recommendation System Growth Analysis And Strategic Analysis Framework

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

6. AI-Based Recommendation System Market Segmentation

  • 6.1. Global AI-Based Recommendation System Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Collaborative Filtering
  • Content Based Filtering
  • Hybrid Recommendation
  • 6.2. Global AI-Based Recommendation System Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • On-Premise
  • Cloud
  • 6.3. Global AI-Based Recommendation System Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • E-Commerce Platform
  • Online Education
  • Social Networking
  • Finance
  • News And Media
  • Health Care
  • Other Applications
  • 6.4. Global AI-Based Recommendation System Market, Sub-Segmentation Of Collaborative Filtering, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • User-Based Collaborative Filtering
  • Item-Based Collaborative Filtering
  • Memory-Based Collaborative Filtering
  • Model-Based Collaborative Filtering
  • 6.5. Global AI-Based Recommendation System Market, Sub-Segmentation Of Content-Based Filtering, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Profile-Based Content Filtering
  • Attribute-Based Content Filtering
  • Model-Based Content Filtering
  • 6.6. Global AI-Based Recommendation System Market, Sub-Segmentation Of Hybrid Recommendation, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Hybrid Collaborative And Content-Based Filtering
  • Ensemble-Based Hybrid Recommendation
  • Knowledge-Based Hybrid Recommendation

7. AI-Based Recommendation System Market Regional And Country Analysis

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

8. Asia-Pacific AI-Based Recommendation System Market

  • 8.1. Asia-Pacific AI-Based Recommendation System 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 AI-Based Recommendation System Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific AI-Based Recommendation System Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific AI-Based Recommendation System Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China AI-Based Recommendation System Market

  • 9.1. China AI-Based Recommendation System Market Overview
  • 9.2. China AI-Based Recommendation System Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China AI-Based Recommendation System Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China AI-Based Recommendation System Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India AI-Based Recommendation System Market

  • 10.1. India AI-Based Recommendation System Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India AI-Based Recommendation System Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India AI-Based Recommendation System Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan AI-Based Recommendation System Market

  • 11.1. Japan AI-Based Recommendation System Market Overview
  • 11.2. Japan AI-Based Recommendation System Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan AI-Based Recommendation System Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan AI-Based Recommendation System Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia AI-Based Recommendation System Market

  • 12.1. Australia AI-Based Recommendation System Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia AI-Based Recommendation System Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia AI-Based Recommendation System Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia AI-Based Recommendation System Market

  • 13.1. Indonesia AI-Based Recommendation System Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia AI-Based Recommendation System Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia AI-Based Recommendation System Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea AI-Based Recommendation System Market

  • 14.1. South Korea AI-Based Recommendation System Market Overview
  • 14.2. South Korea AI-Based Recommendation System Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea AI-Based Recommendation System Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea AI-Based Recommendation System Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe AI-Based Recommendation System Market

  • 15.1. Western Europe AI-Based Recommendation System Market Overview
  • 15.2. Western Europe AI-Based Recommendation System Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe AI-Based Recommendation System Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe AI-Based Recommendation System Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK AI-Based Recommendation System Market

  • 16.1. UK AI-Based Recommendation System Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK AI-Based Recommendation System Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK AI-Based Recommendation System Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany AI-Based Recommendation System Market

  • 17.1. Germany AI-Based Recommendation System Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany AI-Based Recommendation System Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany AI-Based Recommendation System Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France AI-Based Recommendation System Market

  • 18.1. France AI-Based Recommendation System Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France AI-Based Recommendation System Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France AI-Based Recommendation System Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy AI-Based Recommendation System Market

  • 19.1. Italy AI-Based Recommendation System Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy AI-Based Recommendation System Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy AI-Based Recommendation System Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain AI-Based Recommendation System Market

  • 20.1. Spain AI-Based Recommendation System Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain AI-Based Recommendation System Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain AI-Based Recommendation System Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe AI-Based Recommendation System Market

  • 21.1. Eastern Europe AI-Based Recommendation System Market Overview
  • 21.2. Eastern Europe AI-Based Recommendation System Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe AI-Based Recommendation System Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe AI-Based Recommendation System Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia AI-Based Recommendation System Market

  • 22.1. Russia AI-Based Recommendation System Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia AI-Based Recommendation System Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia AI-Based Recommendation System Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America AI-Based Recommendation System Market

  • 23.1. North America AI-Based Recommendation System Market Overview
  • 23.2. North America AI-Based Recommendation System Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America AI-Based Recommendation System Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America AI-Based Recommendation System Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA AI-Based Recommendation System Market

  • 24.1. USA AI-Based Recommendation System Market Overview
  • 24.2. USA AI-Based Recommendation System Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA AI-Based Recommendation System Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA AI-Based Recommendation System Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada AI-Based Recommendation System Market

  • 25.1. Canada AI-Based Recommendation System Market Overview
  • 25.2. Canada AI-Based Recommendation System Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada AI-Based Recommendation System Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada AI-Based Recommendation System Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America AI-Based Recommendation System Market

  • 26.1. South America AI-Based Recommendation System Market Overview
  • 26.2. South America AI-Based Recommendation System Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America AI-Based Recommendation System Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America AI-Based Recommendation System Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil AI-Based Recommendation System Market

  • 27.1. Brazil AI-Based Recommendation System Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil AI-Based Recommendation System Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil AI-Based Recommendation System Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East AI-Based Recommendation System Market

  • 28.1. Middle East AI-Based Recommendation System Market Overview
  • 28.2. Middle East AI-Based Recommendation System Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East AI-Based Recommendation System Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East AI-Based Recommendation System Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa AI-Based Recommendation System Market

  • 29.1. Africa AI-Based Recommendation System Market Overview
  • 29.2. Africa AI-Based Recommendation System Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa AI-Based Recommendation System Market, Segmentation By Deployment Mode, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa AI-Based Recommendation System Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. AI-Based Recommendation System Market Competitive Landscape And Company Profiles

  • 30.1. AI-Based Recommendation System Market Competitive Landscape
  • 30.2. AI-Based Recommendation System Market Company Profiles
    • 30.2.1. Alphabet Inc Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. Alibaba Group Holding Limited (Alibaba) Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Meta Platforms Inc Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Amazon Web Services Overview, Products and Services, Strategy and Financial Analysis

31. AI-Based Recommendation System Market Other Major And Innovative Companies

  • 31.1. Huawei Technologies Co. Ltd
  • 31.2. Tencent Holdings Limited
  • 31.3. Intel Corporation
  • 31.4. International Business Machines Corporation
  • 31.5. Oracle Corp
  • 31.6. SAP SE
  • 31.7. Netflix
  • 31.8. Hewlett Packard Enterprise (HPE)
  • 31.9. Salesforce Inc
  • 31.10. Adobe Inc
  • 31.11. Sentient Technologies
  • 31.12. RecomTech
  • 31.13. Kibo Commerce
  • 31.14. SmartRecs
  • 31.15. AIRecom

32. Global AI-Based Recommendation System Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The AI-Based Recommendation System Market

34. Recent Developments In The AI-Based Recommendation System Market

35. AI-Based Recommendation System Market High Potential Countries, Segments and Strategies

  • 35.1 AI-Based Recommendation System Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 AI-Based Recommendation System Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 AI-Based Recommendation System 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