市場調査レポート

商品コード

1665979

レコメンデーションエンジン市場規模、シェア、成長分析：タイプ別、技術別、用途別、展開モード別、エンドユーザー別、地域別 - 産業予測 2025～2032年

Recommendation Engine Market Size, Share, and Growth Analysis, By Type, By Technology, By Application, By Deployment Mode, By End-User, By Region - Industry Forecast 2025-2032

出版日: 2025年02月25日
発行: SkyQuest
ページ情報: 英文 175 Pages
納期: 3～5営業日

価格

PDF & Excel (Single User License)

USD 5,300 779,047円

レポートPDF・Excelを1 名様のみがご利用頂けるライセンスです。PDF・Excell内のテキスト等のコピーは可能です。PDF・Excelの印刷は可能ですが、印刷したもののご利用はPDF・Excelのご利用範囲に準拠します

PDF & Excel (Multiple User License)

USD 6,200 911,338円

レポートPDF・Excel2-5名様までがご利用頂けるライセンスです。PDF・Excel内のテキスト等のコピーは可能です。PDF・Excelの印刷は可能ですが、印刷したもののご利用はPDF・Excelのご利用範囲に準拠します。

PDF & Excel (Enterprise License)

USD 7,100 1,043,629円

レポートPDF・Excelを同一企業に所属の全世界の方にご使用頂けるライセンスです。PDF・Excel内のテキスト等のコピーは可能です。PDF・Excelの印刷は可能ですが、印刷したもののご利用はPDF・Excelのご利用範囲に準拠します。

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

全表示
概要
目次

概要

サンプル依頼リストに入れる

レコメンデーションエンジンの世界市場規模は2023年に41億米ドルと評価され、2024年の55億4,000万米ドルから2032年には618億8,000万米ドルに成長し、予測期間（2025-2032年）のCAGRは35.2％で成長する見通しです。

消費者体験の向上に対する需要の高まりが、レコメンデーションエンジンの拡大を後押ししています。特にeコマース分野では、オンラインショッピングが当たり前になり、パンデミック後に急増しています。企業は、パーソナライズされた商品提案を提供し、顧客満足度と売上を向上させるこれらのシステムへの依存度を高めています。世界のレコメンデーションエンジン市場は、オーバー・ザ・トップ（OTT）プラットフォームの台頭によってさらに支えられています。OTTプラットフォームは、これらのエンジンを利用して映画や番組などのコンテンツをユーザー向けにカスタマイズし、エンゲージメントとリテンションを高めています。さらに、個別化された質の高いコンテンツの重要性の高まりや、言語的に多様な情報の入手が可能になったことで、銀行を含む多くの業界が推薦アルゴリズムの採用を余儀なくされています。この動向により、レコメンデーションエンジンは、様々なセクターにおいて競争優位性を維持し、顧客体験を向上させるために不可欠な要素と位置づけられています。

北米
- 米国
- カナダ
欧州
- ドイツ
- スペイン
- フランス
- 英国
- イタリア
- その他欧州地域
アジア太平洋地域
- 中国
- インド
- 日本
- 韓国
- その他アジア太平洋地域
ラテンアメリカ
- ブラジル
- その他ラテンアメリカ地域
中東・アフリカ
- GCC諸国
- 南アフリカ
- その他中東・アフリカ

競合情報

上位5社の比較
主要企業の市場ポジショニング（2024年）
主な市場企業が採用した戦略
最近の市場動向
企業の市場シェア分析（2024年）
主要企業の企業プロファイル
- 企業の詳細
- 製品ポートフォリオ分析
- 企業のセグメント別シェア分析
- 収益の前年比比較（2022-2024）

主要企業プロファイル

Amazon（United States）
Google（United States）
Netflix（United States）
Spotify（Sweden）
Apple（United States）
Microsoft（United States）
Adobe（United States）
Alibaba（China）
Criteo（France）
Facebook（Meta）（United States）
Salesforce（United States）
SAP（Germany）
IBM（United States）
Zalando（Germany）
Oracle（United States）

結論と提言

Product Code: SQMIG20I2326

Global Recommendation Engine Market size was valued at USD 4.1 billion in 2023 and is poised to grow from USD 5.54 billion in 2024 to USD 61.88 billion by 2032, growing at a CAGR of 35.2% during the forecast period (2025-2032).

The growing demand for enhanced consumer experiences is driving the expansion of recommendation engines, particularly in the e-commerce sector, which has surged post-pandemic as online shopping becomes the norm. Businesses are increasingly reliant on these systems to provide personalized product suggestions, boosting customer satisfaction and sales. The global recommendation engine market is further supported by the rise of over-the-top (OTT) platforms, which utilize these engines to tailor content like movies and shows for users, thereby increasing engagement and retention. Additionally, the growing importance of individualized, high-quality content and the availability of linguistically diverse information are compelling more industries, including banking, to adopt recommendation algorithms. This trend positions recommendation engines as essential elements in maintaining competitive advantage and enhancing client experiences across various sectors.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global Recommendation Engine market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global Recommendation Engine Market Segments Analysis

Global Recommendation Engine Market is segmented by Type, Technology, Application, Deployment Mode, End-User and region. Based on Type, the market is segmented into Collaborative Filtering, Content-Based Filtering and Hybrid Recommendation. Based on Technology, the market is segmented into Context Aware and Geospatial Aware. Based on Application, the market is segmented into Personalized Campaigns and Customer Discovery, Product Planning, Strategy and Operations Planning, Proactive Asset Management and Others. Based on Deployment Mode, the market is segmented into Cloud and On-Premises. Based on End-User, the market is segmented into Retail, Media and Entertainment, Transportation, BFSI, Healthcare and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Global Recommendation Engine Market

The surge in customer demand for tailored experiences has significantly fueled the adoption of recommendation engines. These advanced systems meticulously analyze user behavior to provide highly relevant suggestions across various sectors, including digital media, e-commerce, and streaming services. By playing a pivotal role in enhancing customer engagement, fostering retention, and enriching overall user satisfaction, these personalized recommendations have become essential tools for businesses aiming to outperform rivals in an intensely competitive landscape. As companies strive to meet and exceed customer expectations, the integration of recommendation engines into their strategies remains crucial for sustaining growth and maintaining a competitive edge.

Restraints in the Global Recommendation Engine Market

The global recommendation engine market faces considerable challenges primarily stemming from privacy concerns related to the collection and utilization of personal data. Organizations are tasked with maintaining data security while complying with regulations like GDPR, since these systems depend heavily on user information to provide targeted recommendations. Additionally, widespread customer distrust arising from potential data breaches or misuse poses a significant barrier, potentially restricting the broader adoption and effectiveness of recommendation engines. As companies navigate these complexities, they must strike a balance between leveraging user data for personalization and ensuring the protection of consumer privacy to foster trust and encourage usage.

Market Trends of the Global Recommendation Engine Market

The global recommendation engine market is witnessing a significant trend towards the integration of advanced machine learning and artificial intelligence technologies. These innovations enable recommendation systems to adapt in real-time to evolving user preferences and behaviors, resulting in increasingly personalized experiences. By leveraging sophisticated algorithms to analyze vast amounts of data, businesses can deliver tailored suggestions that resonate deeply with users, enhancing satisfaction and engagement. This dynamic approach not only fosters user loyalty but also drives conversion rates, making recommendation engines an essential tool for businesses aiming to thrive in a highly competitive digital landscape. As AI and machine learning continue to evolve, their impact on the recommendation engine market is poised for substantial growth.

Introduction

Objectives of the Study
Scope of the Report
Definitions

Research Methodology

Information Procurement
Secondary & Primary Data Methods
Market Size Estimation
Market Assumptions & Limitations

Executive Summary

Global Market Outlook
Supply & Demand Trend Analysis
Segmental Opportunity Analysis

Market Dynamics & Outlook

Market Overview
Market Size
Market Dynamics
- Drivers & Opportunities
- Restraints & Challenges
Porters Analysis
- Competitive rivalry
- Threat of substitute
- Bargaining power of buyers
- Threat of new entrants
- Bargaining power of suppliers

Key Market Insights

Key Success Factors
Degree of Competition
Top Investment Pockets
Market Ecosystem
Market Attractiveness Index, 2024
PESTEL Analysis
Macro-Economic Indicators
Value Chain Analysis
Pricing Analysis
Case Studies
Technology Analysis

Global Recommendation Engine Market Size by Type & CAGR (2025-2032)

Market Overview
Collaborative Filtering
Content-Based Filtering
Hybrid Recommendation

Global Recommendation Engine Market Size by Technology & CAGR (2025-2032)

Market Overview
Context Aware
- Machine Learning and Deep Learning
- Natural Language Processing
Geospatial Aware

Global Recommendation Engine Market Size by Application & CAGR (2025-2032)

Market Overview
Personalized Campaigns and Customer Discovery
Product Planning
Strategy and Operations Planning
Proactive Asset Management
Others

Global Recommendation Engine Market Size by Deployment Mode & CAGR (2025-2032)

Market Overview
Cloud
On-Premises

Global Recommendation Engine Market Size by End-User & CAGR (2025-2032)

Market Overview
Retail
Media and Entertainment
Transportation
BFSI
Healthcare
Others

Global Recommendation Engine Market Size & CAGR (2025-2032)

North America (Type, Technology, Application, Deployment Mode, End-User)
- US
- Canada
Europe (Type, Technology, Application, Deployment Mode, End-User)
- Germany
- Spain
- France
- UK
- Italy
- Rest of Europe
Asia Pacific (Type, Technology, Application, Deployment Mode, End-User)
- China
- India
- Japan
- South Korea
- Rest of Asia-Pacific
Latin America (Type, Technology, Application, Deployment Mode, End-User)
- Brazil
- Rest of Latin America
Middle East & Africa (Type, Technology, Application, Deployment Mode, End-User)
- GCC Countries
- South Africa
- Rest of Middle East & Africa

Competitive Intelligence

Top 5 Player Comparison
Market Positioning of Key Players, 2024
Strategies Adopted by Key Market Players
Recent Developments in the Market
Company Market Share Analysis, 2024
Company Profiles of All Key Players
- Company Details
- Product Portfolio Analysis
- Company's Segmental Share Analysis
- Revenue Y-O-Y Comparison (2022-2024)

Key Company Profiles

Amazon (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Google (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Netflix (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Spotify (Sweden)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Apple (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Microsoft (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Adobe (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Alibaba (China)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Criteo (France)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Facebook (Meta) (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Salesforce (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
SAP (Germany)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
IBM (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Zalando (Germany)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Oracle (United States)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments

レコメンデーションエンジン市場規模、シェア、成長分析：タイプ別、技術別、用途別、展開モード別、エンドユーザー別、地域別 - 産業予測 2025～2032年

Recommendation Engine Market Size, Share, and Growth Analysis, By Type, By Technology, By Application, By Deployment Mode, By End-User, By Region - Industry Forecast 2025-2032

目次

イントロダクション

調査手法

エグゼクティブサマリー

市場力学と見通し

主な市場の考察

レコメンデーションエンジン市場規模：タイプ別& CAGR（2025-2032）

レコメンデーションエンジン市場規模：技術別& CAGR（2025-2032）

レコメンデーションエンジン市場規模：用途別& CAGR（2025-2032）

レコメンデーションエンジン市場規模：展開モード別& CAGR（2025-2032）

レコメンデーションエンジン市場規模：エンドユーザー別& CAGR（2025-2032）

レコメンデーションエンジン市場規模：地域別& CAGR（2025-2032）