추천 엔진 시장 예측 : 산업 규모, 점유율, 동향, 기회, 유형별, 배포 모델별, 기업 규모별, 용도별, 최종 사용자별, 지역별, 경쟁 구도(2021-2031년)
Recommendation Engine Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Type, By Deployment Model, By Enterprise Size, By Application, By End User, By Region & Competition, 2021-2031F
상품코드:1901584
리서치사:TechSci Research
발행일:2026년 01월
페이지 정보:영문 185 Pages
라이선스 & 가격 (부가세 별도)
ㅁ Add-on 가능: 고객의 요청에 따라 일정한 범위 내에서 Customization이 가능합니다. 자세한 사항은 문의해 주시기 바랍니다.
한글목차
세계 추천 엔진 시장은 2025년 86억 1,000만 달러, 2031년까지 382억 6,000만 달러에 달하고, CAGR 28.22%로 성장할 전망입니다.
추천 엔진은 데이터를 분석하여 사용자의 선호도를 예측하고 제품 및 미디어 컨텐츠와 같은 관련성이 높은 항목을 제안하는 전문적인 정보 필터링 시스템입니다. 이 시장의 성장은 기업이 엄청난 디지털 인벤토리를 관리해야 할 필요성이 커지고 소비자가 요구하는 개인화되고 효율적인 발견 경험이라는 근본적인 요구에 의해 주로 견인되고 있습니다.
시장 개요
예측 기간
2027-2031년
시장 규모 : 2025년
86억 1,000만 달러
시장 규모 : 2031년
382억 6,000만 달러
CAGR : 2026-2031년
28.22%
가장 빠르게 성장하는 부문
클라우드
가장 큰 시장
북미
주요 시장 성장 촉진요인
초개인화된 고객 경험에 대한 수요 증가는 세계 추천 엔진 시장을 견인하는 주요 힘입니다. 현대의 소비자들은 디지털 상호작용이 개인의 취향에 맞게 커스터마이징될 것으로 기대하고 있으며, 기업은 의도를 예측하고 관련 컨텐츠를 실시간으로 제안할 수 있는 고급 알고리즘의 채택을 강요받고 있습니다.
주요 시장 과제
데이터 프라이버시에 대한 우려와 엄격한 규제 준수 요건은 세계 추천 엔진 시장 확대에 큰 제약 요인으로 작용합니다. 이러한 자동화 시스템은 정확하고 개인화된 제안을 생성하기 위해 사용자 행동 데이터의 광범위한 수집에 크게 의존합니다.
주요 시장 동향
생성형 AI와 대규모 언어 모델의 통합은 단순한 협업 필터링에서 깊이 있는 의미 이해로 진화함으로써 세계 추천 엔진 시장을 근본적으로 재구성하고 있습니다. 과거의 클릭 데이터에 크게 의존하는 전통적인 시스템과는 달리, 이러한 고급 모델은 비정형 텍스트와 시각적 입력을 활용하여 복잡한 사용자의 의도를 파악하고, 맥락이 풍부한 대화형 제안을 생성합니다.
목차
제1장 개요
제2장 조사 방법
제3장 주요 요약
제4장 고객의 목소리
제5장 세계 추천 엔진 시장 전망
시장 규모 및 예측
금액별
시장 점유율 및 예측
유형별(협업 필터링, 컨텐츠 기반 필터링, 하이브리드 추천)
배포 모델별(On-Premise, 클라우드)
기업 규모별(대기업, 중소기업)
용도별(개인화된 캠페인 & 고객 딜리버리, 전략 운용 및 계획, 제품 계획, 선제적 자산 관리)
최종 사용자별(소매 및 소비재, IT 및 통신, 의료 및 생명과학, 은행, 금융서비스 및 보험(BFSI), 미디어 및 엔터테인먼트, 기타)
지역별
기업별(2025)
시장 맵
제6장 북미의 추천 엔진 시장 전망
시장 규모 및 예측
시장 점유율 및 예측
북미 : 국가별 분석
미국
캐나다
멕시코
제7장 유럽의 추천 엔진 시장 전망
시장 규모 및 예측
시장 점유율 및 예측
유럽 : 국가별 분석
독일
프랑스
영국
이탈리아
스페인
제8장 아시아태평양의 추천 엔진 시장 전망
시장 규모 및 예측
시장 점유율 및 예측
아시아태평양 : 국가별 분석
중국
인도
일본
한국
호주
제9장 중동 및 아프리카의 추천 엔진 시장 전망
시장 규모 및 예측
시장 점유율 및 예측
중동 및 아프리카 : 국가별 분석
사우디아라비아
아랍에미리트(UAE)
남아프리카
제10장 남미의 추천 엔진 시장 전망
시장 규모 및 예측
시장 점유율 및 예측
남미 : 국가별 분석
브라질
콜롬비아
아르헨티나
제11장 시장 역학
성장 촉진요인
과제
제12장 시장 동향과 발전
합병 및 인수
제품 출시
최근 동향
제13장 세계 추천 엔진 시장 : SWOT 분석
제14장 Porter's Five Forces 분석
업계 내 경쟁
신규 진입 가능성
공급자의 힘
고객의 힘
대체품의 위협
제15장 경쟁 구도
International Business Machines Corporation
Hewlett Packard Enterprise Development LP
Intel Corporation
Amazon Web Services
Adobe Inc.
Salesforce, Inc
Microsoft Corporation
Oracle Corporation
Google LLC
SAP SE
제16장 전략적 제안
제17장 기업 소개와 면책사항
SHW
영문 목차
영문목차
The Global Recommendation Engine Market will grow from USD 8.61 Billion in 2025 to USD 38.26 Billion by 2031 at a 28.22% CAGR. A recommendation engine is a specialized information filtering system that analyzes data to predict user preferences and suggest relevant items, such as products or media content. The market is primarily driven by the escalating need for businesses to curate vast digital inventories and the fundamental consumer requirement for personalized, efficient discovery experiences.
Market Overview
Forecast Period
2027-2031
Market Size 2025
USD 8.61 Billion
Market Size 2031
USD 38.26 Billion
CAGR 2026-2031
28.22%
Fastest Growing Segment
Cloud
Largest Market
North America
Key Market Drivers
The Escalating Demand for Hyper-Personalized Customer Experiences is a primary force propelling the Global Recommendation Engine Market. Modern consumers increasingly expect digital interactions to be tailored to their individual preferences, forcing businesses to adopt sophisticated algorithms that can predict intent and suggest relevant content in real-time. This shift is not merely about convenience but has become a critical determinant of commercial success, as static interfaces fail to retain users accustomed to dynamic, curated feeds.
Key Market Challenges
Data privacy concerns and strict regulatory compliance requirements function as a significant constraint on the expansion of the Global Recommendation Engine Market. These automated systems rely heavily on the extensive collection of user behavioral data to generate precise and personalized suggestions. However, stringent global privacy regulations increasingly limit the ability of organizations to gather this essential information without explicit consent.
Key Market Trends
The Integration of Generative AI and Large Language Models is fundamentally reshaping the Global Recommendation Engine Market by moving beyond simple collaborative filtering to deep semantic understanding. Unlike traditional systems that rely heavily on historical click data, these advanced models utilize unstructured text and visual inputs to comprehend complex user intent and generate conversational, context-rich suggestions. This capability effectively addresses the cold-start problem, enabling the system to provide zero-shot recommendations for new products or users without prior interaction history.
Key Market Players
International Business Machines Corporation
Hewlett Packard Enterprise Development LP
Intel Corporation
Amazon Web Services
Adobe Inc.
Salesforce, Inc
Microsoft Corporation
Oracle Corporation
Google LLC
SAP SE
Report Scope:
In this report, the Global Recommendation Engine Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Recommendation Engine Market, By Type:
Collaborative Filtering
Content-based Filtering
and Hybrid recommendation
Recommendation Engine Market, By Deployment Model:
On-Premises
Cloud
Recommendation Engine Market, By Enterprise Size:
Large Enterprises
Small & Medium Enterprises
Recommendation Engine Market, By Application:
Personalized Campaigns & Customer Delivery
Strategy Operations & Planning
Product Planning
and Proactive Asset Management
Recommendation Engine Market, By End User:
Retail & Consumer Goods
IT & Telecom
Healthcare & Life Science
BFSI
Media & Entertainment
and Others
Recommendation Engine Market, By Region:
North America
United States
Canada
Mexico
Europe
France
United Kingdom
Italy
Germany
Spain
Asia Pacific
China
India
Japan
Australia
South Korea
South America
Brazil
Argentina
Colombia
Middle East & Africa
South Africa
Saudi Arabia
UAE
Competitive Landscape
Company Profiles: Detailed analysis of the major companies present in the Global Recommendation Engine Market.
Available Customizations:
Global Recommendation Engine Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:
Company Information
Detailed analysis and profiling of additional market players (up to five).
Table of Contents
1. Product Overview
1.1. Market Definition
1.2. Scope of the Market
1.2.1. Markets Covered
1.2.2. Years Considered for Study
1.2.3. Key Market Segmentations
2. Research Methodology
2.1. Objective of the Study
2.2. Baseline Methodology
2.3. Key Industry Partners
2.4. Major Association and Secondary Sources
2.5. Forecasting Methodology
2.6. Data Triangulation & Validation
2.7. Assumptions and Limitations
3. Executive Summary
3.1. Overview of the Market
3.2. Overview of Key Market Segmentations
3.3. Overview of Key Market Players
3.4. Overview of Key Regions/Countries
3.5. Overview of Market Drivers, Challenges, Trends
4. Voice of Customer
5. Global Recommendation Engine Market Outlook
5.1. Market Size & Forecast
5.1.1. By Value
5.2. Market Share & Forecast
5.2.1. By Type (Collaborative Filtering, Content-based Filtering, and Hybrid recommendation)
5.2.2. By Deployment Model (On-Premises, Cloud)
5.2.3. By Enterprise Size (Large Enterprises, Small & Medium Enterprises)
5.2.4. By Application (Personalized Campaigns & Customer Delivery, Strategy Operations & Planning, Product Planning, and Proactive Asset Management)
5.2.5. By End User (Retail & Consumer Goods, IT & Telecom, Healthcare & Life Science, BFSI, Media & Entertainment, and Others)
5.2.6. By Region
5.2.7. By Company (2025)
5.3. Market Map
6. North America Recommendation Engine Market Outlook
6.1. Market Size & Forecast
6.1.1. By Value
6.2. Market Share & Forecast
6.2.1. By Type
6.2.2. By Deployment Model
6.2.3. By Enterprise Size
6.2.4. By Application
6.2.5. By End User
6.2.6. By Country
6.3. North America: Country Analysis
6.3.1. United States Recommendation Engine Market Outlook
6.3.1.1. Market Size & Forecast
6.3.1.1.1. By Value
6.3.1.2. Market Share & Forecast
6.3.1.2.1. By Type
6.3.1.2.2. By Deployment Model
6.3.1.2.3. By Enterprise Size
6.3.1.2.4. By Application
6.3.1.2.5. By End User
6.3.2. Canada Recommendation Engine Market Outlook
6.3.2.1. Market Size & Forecast
6.3.2.1.1. By Value
6.3.2.2. Market Share & Forecast
6.3.2.2.1. By Type
6.3.2.2.2. By Deployment Model
6.3.2.2.3. By Enterprise Size
6.3.2.2.4. By Application
6.3.2.2.5. By End User
6.3.3. Mexico Recommendation Engine Market Outlook
6.3.3.1. Market Size & Forecast
6.3.3.1.1. By Value
6.3.3.2. Market Share & Forecast
6.3.3.2.1. By Type
6.3.3.2.2. By Deployment Model
6.3.3.2.3. By Enterprise Size
6.3.3.2.4. By Application
6.3.3.2.5. By End User
7. Europe Recommendation Engine Market Outlook
7.1. Market Size & Forecast
7.1.1. By Value
7.2. Market Share & Forecast
7.2.1. By Type
7.2.2. By Deployment Model
7.2.3. By Enterprise Size
7.2.4. By Application
7.2.5. By End User
7.2.6. By Country
7.3. Europe: Country Analysis
7.3.1. Germany Recommendation Engine Market Outlook
7.3.1.1. Market Size & Forecast
7.3.1.1.1. By Value
7.3.1.2. Market Share & Forecast
7.3.1.2.1. By Type
7.3.1.2.2. By Deployment Model
7.3.1.2.3. By Enterprise Size
7.3.1.2.4. By Application
7.3.1.2.5. By End User
7.3.2. France Recommendation Engine Market Outlook
7.3.2.1. Market Size & Forecast
7.3.2.1.1. By Value
7.3.2.2. Market Share & Forecast
7.3.2.2.1. By Type
7.3.2.2.2. By Deployment Model
7.3.2.2.3. By Enterprise Size
7.3.2.2.4. By Application
7.3.2.2.5. By End User
7.3.3. United Kingdom Recommendation Engine Market Outlook
7.3.3.1. Market Size & Forecast
7.3.3.1.1. By Value
7.3.3.2. Market Share & Forecast
7.3.3.2.1. By Type
7.3.3.2.2. By Deployment Model
7.3.3.2.3. By Enterprise Size
7.3.3.2.4. By Application
7.3.3.2.5. By End User
7.3.4. Italy Recommendation Engine Market Outlook
7.3.4.1. Market Size & Forecast
7.3.4.1.1. By Value
7.3.4.2. Market Share & Forecast
7.3.4.2.1. By Type
7.3.4.2.2. By Deployment Model
7.3.4.2.3. By Enterprise Size
7.3.4.2.4. By Application
7.3.4.2.5. By End User
7.3.5. Spain Recommendation Engine Market Outlook
7.3.5.1. Market Size & Forecast
7.3.5.1.1. By Value
7.3.5.2. Market Share & Forecast
7.3.5.2.1. By Type
7.3.5.2.2. By Deployment Model
7.3.5.2.3. By Enterprise Size
7.3.5.2.4. By Application
7.3.5.2.5. By End User
8. Asia Pacific Recommendation Engine Market Outlook
8.1. Market Size & Forecast
8.1.1. By Value
8.2. Market Share & Forecast
8.2.1. By Type
8.2.2. By Deployment Model
8.2.3. By Enterprise Size
8.2.4. By Application
8.2.5. By End User
8.2.6. By Country
8.3. Asia Pacific: Country Analysis
8.3.1. China Recommendation Engine Market Outlook
8.3.1.1. Market Size & Forecast
8.3.1.1.1. By Value
8.3.1.2. Market Share & Forecast
8.3.1.2.1. By Type
8.3.1.2.2. By Deployment Model
8.3.1.2.3. By Enterprise Size
8.3.1.2.4. By Application
8.3.1.2.5. By End User
8.3.2. India Recommendation Engine Market Outlook
8.3.2.1. Market Size & Forecast
8.3.2.1.1. By Value
8.3.2.2. Market Share & Forecast
8.3.2.2.1. By Type
8.3.2.2.2. By Deployment Model
8.3.2.2.3. By Enterprise Size
8.3.2.2.4. By Application
8.3.2.2.5. By End User
8.3.3. Japan Recommendation Engine Market Outlook
8.3.3.1. Market Size & Forecast
8.3.3.1.1. By Value
8.3.3.2. Market Share & Forecast
8.3.3.2.1. By Type
8.3.3.2.2. By Deployment Model
8.3.3.2.3. By Enterprise Size
8.3.3.2.4. By Application
8.3.3.2.5. By End User
8.3.4. South Korea Recommendation Engine Market Outlook
8.3.4.1. Market Size & Forecast
8.3.4.1.1. By Value
8.3.4.2. Market Share & Forecast
8.3.4.2.1. By Type
8.3.4.2.2. By Deployment Model
8.3.4.2.3. By Enterprise Size
8.3.4.2.4. By Application
8.3.4.2.5. By End User
8.3.5. Australia Recommendation Engine Market Outlook
8.3.5.1. Market Size & Forecast
8.3.5.1.1. By Value
8.3.5.2. Market Share & Forecast
8.3.5.2.1. By Type
8.3.5.2.2. By Deployment Model
8.3.5.2.3. By Enterprise Size
8.3.5.2.4. By Application
8.3.5.2.5. By End User
9. Middle East & Africa Recommendation Engine Market Outlook
9.1. Market Size & Forecast
9.1.1. By Value
9.2. Market Share & Forecast
9.2.1. By Type
9.2.2. By Deployment Model
9.2.3. By Enterprise Size
9.2.4. By Application
9.2.5. By End User
9.2.6. By Country
9.3. Middle East & Africa: Country Analysis
9.3.1. Saudi Arabia Recommendation Engine Market Outlook
9.3.1.1. Market Size & Forecast
9.3.1.1.1. By Value
9.3.1.2. Market Share & Forecast
9.3.1.2.1. By Type
9.3.1.2.2. By Deployment Model
9.3.1.2.3. By Enterprise Size
9.3.1.2.4. By Application
9.3.1.2.5. By End User
9.3.2. UAE Recommendation Engine Market Outlook
9.3.2.1. Market Size & Forecast
9.3.2.1.1. By Value
9.3.2.2. Market Share & Forecast
9.3.2.2.1. By Type
9.3.2.2.2. By Deployment Model
9.3.2.2.3. By Enterprise Size
9.3.2.2.4. By Application
9.3.2.2.5. By End User
9.3.3. South Africa Recommendation Engine Market Outlook
9.3.3.1. Market Size & Forecast
9.3.3.1.1. By Value
9.3.3.2. Market Share & Forecast
9.3.3.2.1. By Type
9.3.3.2.2. By Deployment Model
9.3.3.2.3. By Enterprise Size
9.3.3.2.4. By Application
9.3.3.2.5. By End User
10. South America Recommendation Engine Market Outlook
10.1. Market Size & Forecast
10.1.1. By Value
10.2. Market Share & Forecast
10.2.1. By Type
10.2.2. By Deployment Model
10.2.3. By Enterprise Size
10.2.4. By Application
10.2.5. By End User
10.2.6. By Country
10.3. South America: Country Analysis
10.3.1. Brazil Recommendation Engine Market Outlook
10.3.1.1. Market Size & Forecast
10.3.1.1.1. By Value
10.3.1.2. Market Share & Forecast
10.3.1.2.1. By Type
10.3.1.2.2. By Deployment Model
10.3.1.2.3. By Enterprise Size
10.3.1.2.4. By Application
10.3.1.2.5. By End User
10.3.2. Colombia Recommendation Engine Market Outlook
10.3.2.1. Market Size & Forecast
10.3.2.1.1. By Value
10.3.2.2. Market Share & Forecast
10.3.2.2.1. By Type
10.3.2.2.2. By Deployment Model
10.3.2.2.3. By Enterprise Size
10.3.2.2.4. By Application
10.3.2.2.5. By End User
10.3.3. Argentina Recommendation Engine Market Outlook
10.3.3.1. Market Size & Forecast
10.3.3.1.1. By Value
10.3.3.2. Market Share & Forecast
10.3.3.2.1. By Type
10.3.3.2.2. By Deployment Model
10.3.3.2.3. By Enterprise Size
10.3.3.2.4. By Application
10.3.3.2.5. By End User
11. Market Dynamics
11.1. Drivers
11.2. Challenges
12. Market Trends & Developments
12.1. Merger & Acquisition (If Any)
12.2. Product Launches (If Any)
12.3. Recent Developments
13. Global Recommendation Engine Market: SWOT Analysis
