시장보고서
상품코드
1665979

추천 엔진 시장 규모, 점유율, 성장 분석 : 유형별, 기술별, 용도별, 전개 방식별, 최종사용자별, 지역별 - 산업 예측(2025-2032년)

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

발행일: | 리서치사: SkyQuest | 페이지 정보: 영문 175 Pages | 배송안내 : 3-5일 (영업일 기준)

    
    
    



※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

추천 엔진 세계 시장 규모는 2023년 41억 달러로 평가되며, 2024년 55억 4,000만 달러에서 2032년 618억 8,000만 달러로 예측 기간(2025-2032년) 동안 35.2%의 CAGR로 성장할 것으로 예상됩니다.

소비자 경험 향상에 대한 요구가 높아지면서 추천 엔진의 확장이 가속화되고 있습니다. 특히 E-Commerce 분야에서는 온라인 쇼핑이 보편화되면서 팬데믹 이후 온라인 쇼핑이 급증하고 있습니다. 기업들은 개인화된 상품 제안을 제공하고 고객 만족도와 매출을 향상시키는 이러한 시스템에 대한 의존도를 높이고 있습니다. 세계 추천 엔진 시장은 OTT(Over The Top) 플랫폼의 부상으로 인해 더욱 힘을 얻고 있으며, OTT 플랫폼은 이러한 엔진을 통해 영화, 프로그램 등의 컨텐츠를 사용자에 맞게 맞춤화하여 참여도와 유지율을 높이고 있습니다. 또한, 개인화된 양질의 컨텐츠의 중요성이 높아지고 언어적으로 다양한 정보를 얻을 수 있게 됨에 따라 은행을 포함한 많은 업계에서 추천 알고리즘을 채택하고 있습니다. 이러한 추세에 따라 추천 엔진은 다양한 분야에서 경쟁 우위를 유지하고 고객 경험을 향상시키는 데 필수적인 요소로 자리매김하고 있습니다.

목차

소개

  • 조사 목적
  • 조사 범위
  • 정의

조사 방법

  • 정보 조달
  • 2차와 1차 데이터 방법
  • 시장 규모 예측
  • 시장 가정과 제한

주요 요약

  • 세계 시장 전망
  • 공급과 수요 동향 분석
  • 부문별 기회 분석

시장 역학과 전망

  • 시장 개요
  • 시장 규모
  • 시장 역학
    • 성장 촉진요인과 기회
    • 성장 억제요인과 과제
  • Porters 분석

주요 시장 인사이트

  • 핵심성공요인
  • 경쟁 정도
  • 주요 투자 기회
  • 시장 생태계
  • 시장 매력 지수(2024년)
  • PESTEL 분석
  • 거시경제 지표
  • 밸류체인 분석
  • 가격 분석
  • 사례 연구
  • 기술 분석

추천 엔진 시장 규모 : 유형별 & CAGR(2025-2032년)

  • 시장 개요
  • 협조 필터링
  • 컨텐츠 기반 필터링
  • 하이브리드 추천

추천 엔진 시장 규모 : 기술별 & CAGR(2025-2032년)

  • 시장 개요
  • 상황 인식
    • 머신러닝과 딥러닝
    • 자연어 처리
  • 지리공간 인식

추천 엔진 시장 규모 : 용도별 & CAGR(2025-2032년)

  • 시장 개요
  • 개인화된 캠페인과 고객 발견
  • 제품 기획
  • 전략과 운영 계획
  • 프로액티브 자산 관리
  • 기타

추천 엔진 시장 규모 : 전개 방식별 & CAGR(2025-2032년)

  • 시장 개요
  • 클라우드
  • 온프레미스

추천 엔진 시장 규모 : 최종사용자별 & CAGR(2025-2032년)

  • 시장 개요
  • 소매
  • 미디어와 엔터테인먼트
  • 교통기관
  • BFSI
  • 헬스케어
  • 기타

추천 엔진 시장 규모 : 지역별 & CAGR(2025-2032년)

  • 북미
    • 미국
    • 캐나다
  • 유럽
    • 독일
    • 스페인
    • 프랑스
    • 영국
    • 이탈리아
    • 기타 유럽
  • 아시아태평양
    • 중국
    • 인도
    • 일본
    • 한국
    • 기타 아시아태평양
  • 라틴아메리카
    • 브라질
    • 기타 라틴아메리카
  • 중동 및 아프리카
    • GCC 국가
    • 남아프리카공화국
    • 기타 중동 및 아프리카

경쟁 정보

  • 상위 5개사의 비교
  • 주요 기업의 시장 포지셔닝(2024년)
  • 주요 시장 기업이 채용한 전략
  • 최근의 시장 동향
  • 기업의 시장 점유율 분석(2024년)
  • 주요 기업 개요
    • 기업 상세
    • 제품 포트폴리오 분석
    • 기업 부문별 점유율 분석
    • 매출 전년비 비교(2022-2024년)

주요 기업 개요

  • 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)

결론과 제안

ksm 25.04.03

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.

Table of Contents

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

Conclusion & Recommendations

샘플 요청 목록
0 건의 상품을 선택 중
목록 보기
전체삭제