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AIベースのレコメンデーションシステムの世界市場レポート 2025年

AI-Based Recommendation System Global Market Report 2025

出版日
ページ情報
英文 200 Pages
納期
2～10営業日
カスタマイズ可能
適宜更新あり
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=146.99円
AIベースのレコメンデーションシステムの世界市場レポート 2025年
出版日: 2025年03月04日
発行: The Business Research Company
ページ情報: 英文 200 Pages
納期: 2～10営業日
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  • 概要
  • 目次
概要

AIベースのレコメンデーションシステム市場規模は、今後数年で急成長が見込まれます。2029年にはCAGR10.3％で36億2,000万米ドルに成長します。予測期間における成長の背景には、ストリーミングサービスの採用増加、ヘルスケアにおけるレコメンデーションシステムの拡大、コンプライアンスと規制要件、デジタル広告の拡大、コンテンツ配信ネットワーク（CDNS）の最適化などがあります。予測期間における主な動向としては、パーソナライゼーションの優位性、リアルタイム・レコメンデーション、適応学習モデル、マルチモーダル・レコメンデーション、ユーザーフィードバック機構の強化、社会的影響力の分析などが挙げられます。

今後、スマートデバイスの普及がAIベースのレコメンデーションシステム市場の成長を牽引すると予測されます。デジタル広告には、ウェブサイトやストリーミング・コンテンツなどのオンライン・プラットフォームを通じたマーケティングが含まれ、テキスト、画像、音声、動画などさまざまなメディア・フォーマットが含まれます。デジタル広告の成長は、オーディエンスへのリーチ、ターゲティング機能の提供、測定可能な結果の提供、費用対効果の維持、パーソナライゼーションの提供といった機能によって後押しされています。AIベースのレコメンデーションシステムは、ターゲティング、パーソナライゼーション、キャンペーン全体の効果を強化することで、デジタル広告において重要な役割を果たし、ひいてはユーザーのエンゲージメントとコンバージョン率を高める。例えば、2024年8月、米国のテクノロジー企業であるKochava Inc.は、米国の広告主が2024年にデジタル・アウト・オブ・ホーム（DOOH）広告に31億米ドルを投じ、前年比28％増となる見込みであると報告しました。そのため、スマートデバイスの普及がAIベースのレコメンデーションシステム市場の成長に寄与しています。

AIベースのレコメンデーションシステム市場の有力企業は、レコメンデーション・エンジンの効率性と有効性を高めるため、レコメンデーション・システム・サポートなどの技術革新を積極的に進めています。これらのシステムは、アルゴリズムやソフトウェア・ツールによって、ユーザーのデータや嗜好を分析し、商品、サービス、コンテンツ、その他興味のあるものに対して、オーダーメイドのレコメンデーションを生成します。このような技術革新の一例として、米国を拠点とするAIパフォーマンス・プラットフォームであるArthurが2024年1月にレコメンダー・システム・サポートを発表し、AI技術の著しい進歩を予告しています。この斬新なテクノロジーは、オンライン・ビジネスにおけるレコメンダー・システムの活用に革命をもたらし、顧客満足度の向上と収益成長の促進を目指します。AI機能を活用したこのソリューションは、レコメンデーション・エンジンの精度とカスタマイズ性を向上させ、モデル概要ページ、メトリクス・ダッシュボード、データ・ドリフト・モニタリング、高度なクエリ、フィルタリングなどの機能を備え、パーソナライズされたレコメンデーションを通じてユーザー・エクスペリエンス全体を向上させます。

目次

第1章 エグゼクティブサマリー

第2章 市場の特徴

第3章 市場動向と戦略

第4章 市場- 金利、インフレ、地政学、コロナ、回復が市場に与える影響を含むマクロ経済シナリオ

第5章 世界の成長分析と戦略分析フレームワーク

  • 世界AIベースのレコメンデーションシステムPESTEL分析（政治、社会、技術、環境、法的要因、促進要因、抑制要因）
  • 最終用途産業の分析
  • 世界のAIベースのレコメンデーションシステム市場：成長率分析
  • 世界のAIベースのレコメンデーションシステム市場の実績：規模と成長, 2019-2024
  • 世界のAIベースのレコメンデーションシステム市場の予測：規模と成長, 2024-2029, 2034F
  • 世界AIベースのレコメンデーションシステム総アドレス可能市場（TAM）

第6章 市場セグメンテーション

  • 世界のAIベースのレコメンデーションシステム市場：タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
  • 協調フィルタリング
  • コンテンツベースのフィルタリング
  • ハイブリッド推奨
  • 世界のAIベースのレコメンデーションシステム市場：展開モード別、実績と予測, 2019-2024, 2024-2029F, 2034F
  • オンプレミス
  • クラウド
  • 世界のAIベースのレコメンデーションシステム市場：用途別、実績と予測, 2019-2024, 2024-2029F, 2034F
  • eコマースプラットフォーム
  • オンライン教育
  • ソーシャルネットワーキング
  • ファイナンス
  • ニュースとメディア
  • 健康管理
  • その他の用途
  • 世界のAIベースのレコメンデーションシステム市場、協調フィルタリングのサブセグメンテーション、タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
  • ユーザーベースの協調フィルタリング
  • アイテムベースの協調フィルタリング
  • メモリベースの協調フィルタリング
  • モデルベースの協調フィルタリング
  • 世界のAIベースのレコメンデーションシステム市場、コンテンツベースのフィルタリングのサブセグメンテーション、タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
  • プロファイルベースのコンテンツフィルタリング
  • 属性ベースのコンテンツフィルタリング
  • モデルベースのコンテンツフィルタリング
  • 世界のAIベースのレコメンデーションシステム市場、ハイブリッド推奨のサブセグメンテーション、タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
  • ハイブリッドコラボレーションとコンテンツベースのフィルタリング
  • アンサンブルベースのハイブリッド推奨
  • 知識ベースのハイブリッド推奨

第7章 地域別・国別分析

  • 世界のAIベースのレコメンデーションシステム市場：地域別、実績と予測, 2019-2024, 2024-2029F, 2034F
  • 世界のAIベースのレコメンデーションシステム市場：国別、実績と予測, 2019-2024, 2024-2029F, 2034F

第8章 アジア太平洋市場

第9章 中国市場

第10章 インド市場

第11章 日本市場

第12章 オーストラリア市場

第13章 インドネシア市場

第14章 韓国市場

第15章 西欧市場

第16章 英国市場

第17章 ドイツ市場

第18章 フランス市場

第19章 イタリア市場

第20章 スペイン市場

第21章 東欧市場

第22章 ロシア市場

第23章 北米市場

第24章 米国市場

第25章 カナダ市場

第26章 南米市場

第27章 ブラジル市場

第28章 中東市場

第29章 アフリカ市場

第30章 競合情勢と企業プロファイル

  • AIベースのレコメンデーションシステム市場：競合情勢
  • AIベースのレコメンデーションシステム市場：企業プロファイル
    • 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 その他の大手企業と革新的企業

  • 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 世界の市場競合ベンチマーキングとダッシュボード

第33章 主要な合併と買収

第34章 最近の市場動向

第35章 市場の潜在力が高い国、セグメント、戦略

  • AIベースのレコメンデーションシステム市場2029：新たな機会を提供する国
  • AIベースのレコメンデーションシステム市場2029：新たな機会を提供するセグメント
  • AIベースのレコメンデーションシステム市場2029：成長戦略
    • 市場動向に基づく戦略
    • 競合の戦略

第36章 付録

目次
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