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추천 엔진 시장 보고서 : 동향, 예측 및 경쟁 분석(-2030년)

Recommendation Engine Market Report: Trends, Forecast and Competitive Analysis to 2030
발행일: | 리서치사: Lucintel | 페이지 정보: 영문 150 - page report | 배송안내 : 3일 (영업일 기준)

    
    
    




■ 보고서에 따라 최신 정보로 업데이트하여 보내드립니다. 배송일정은 문의해 주시기 바랍니다.

추천 엔진의 동향과 전망

추천 엔진 시장의 미래는 IT, 헬스케어, 소매, BFSI, 미디어 및 엔터테인먼트 시장에서의 기회로 인해 유망합니다. 추천 엔진 시장은 2024년부터 2030년까지 22.3%의 CAGR로 2030년까지 약 143억 달러에 달할 것으로 예상됩니다. 이 시장의 주요 촉진요인은 고객 경험 향상에 대한 중요성 증가, 디지털화 추세, 대량의 데이터 분석에 대한 수요 증가 등입니다.

추천 엔진 시장 인사이트

Lucintel은 고객 서비스 및 고객 경험 향상에 대한 요구가 증가함에 따라 개인화된 캠페인 및 고객 전달이 예측 기간 동안 가장 큰 부문으로 남을 것으로 예상하고 있습니다.

북미 지역은 혁신 기술에 대한 수용이 확대되고 정부의 신기술에 대한 지원이 증가함에 따라 예측 기간 동안 가장 큰 지역으로 남을 것입니다.

자주 묻는 질문

Q1. 시장 규모는?

A1. 세계 추천 엔진 시장은 2030년까지 약 143억 달러에 달할 것으로 예상됩니다.

Q2. 시장 성장 전망은?

A2. 세계 추천 엔진 시장은 2024년부터 2030년까지 연평균 22.3%의 성장률을 보일 것으로 예상됩니다.

Q3. 시장 성장에 영향을 미치는 주요 촉진요인은 무엇인가?

A3. 이 시장의 주요 촉진요인은 고객 경험 향상에 대한 관심 증가, 디지털화 추세 증가, 대량의 데이터 분석에 대한 수요 증가입니다.

Q4. 시장의 주요 부문은?

A4. 추천 엔진 시장의 미래는 IT, 헬스케어, 리테일, BFSI, 미디어 & 엔터테인먼트 시장에서 유망합니다.

Q5. 시장의 주요 기업은?

A5. 추천 엔진의 주요 업체는 다음과 같습니다.

  • Adobe
  • Amazon Web Services
  • Google
  • Hewlett Packard Enterprise Development
  • International Business Machines
  • Intel
  • Microsoft
  • Oracle
  • Salesforce.com
  • SAP

Q6. 향후 가장 큰 시장 부문은?

A6. Lucintel은 고객 서비스 및 고객 경험 향상에 대한 요구가 증가함에 따라 개인화된 캠페인 및 고객 제공이 예측 기간 동안 가장 큰 부문으로 남을 것으로 예상하고 있습니다.

Q7. 향후 5년간 가장 큰 시장으로 성장할 것으로 예상되는 지역은 어디인가?

A7. 북미는 혁신 기술 수용이 확대되고 신기술에 대한 정부 지원이 증가함에 따라 예측 기간 동안 가장 큰 지역으로 남을 것입니다.

Q8. 보고서 커스터마이징이 가능한가요?

A8. 예, Lucintel은 추가 비용없이 10%의 사용자 정의를 제공합니다.

목차

제1장 주요 요약

제2장 세계의 추천 엔진 시장 : 시장 역학

  • 소개, 배경, 분류
  • 공급망
  • 업계 성장 촉진요인과 과제

제3장 2018년부터 2030년까지 시장 동향과 예측 분석

  • 거시경제 동향(2018-2023년)과 예측(2024-2030년)
  • 세계의 추천 엔진 시장 동향(2018-2023년)과 예측(2024-2030년)
  • 유형별 세계의 추천 엔진 시장
    • 협조 필터링
    • 컨텐츠 기반 필터링
    • 하이브리드 추천
  • 조직별 세계의 추천 엔진 시장
    • 중소기업
    • 대기업
  • 용도별 세계의 추천 엔진 시장
    • 개인화된 캠페인과 고객으로의 배포
    • 전략 운영과 기획 입안
    • 상품 기획과 프로액티브 자산 관리
  • 최종 용도별 세계의 추천 엔진 시장
    • 정보기술
    • 헬스케어
    • 소매
    • BFSI
    • 미디어와 엔터테인먼트
    • 기타

제4장 2018년부터 2030년까지 지역별 시장 동향과 예측 분석

  • 지역별 세계의 추천 엔진 시장
  • 북미의 추천 엔진 시장
  • 유럽의 추천 엔진 시장
  • 아시아태평양의 추천 엔진 시장
  • 기타 지역의 추천 엔진 시장

제5장 경쟁 분석

  • 제품 포트폴리오 분석
  • 운영상 통합
  • Porter's Five Forces 분석

제6장 성장 기회와 전략적 분석

  • 성장 기회 분석
    • 유형별 세계의 추천 엔진 시장 성장 기회
    • 조직별 세계의 추천 엔진 시장 성장 기회
    • 용도별 세계의 추천 엔진 시장 성장 기회
    • 최종 용도별 세계의 추천 엔진 시장 성장 기회
    • 지역별 세계의 추천 엔진 시장 성장 기회
  • 세계의 추천 엔진 시장의 최신 동향
  • 전략적 분석
    • 신제품 개발
    • 세계의 추천 엔진 시장 능력 확대
    • 세계의 추천 엔진 시장 합병, 인수, 합작투자
    • 인증과 라이선싱

제7장 유력 기업의 기업 개요

  • Adobe
  • Amazon Web Services
  • Google
  • Hewlett Packard Enterprise Development
  • International Business Machines
  • Intel
  • Microsoft
  • Oracle
  • Salesforce.com
  • SAP
ksm 24.03.21

Recommendation Engine Trends and Forecast

The future of the recommendation engine market looks promising with opportunities in the information technology, healthcare, retail, BFSI, and media & entertainment markets. The recommendation engine market is expected to reach an estimated $14.3 billion by 2030 with a CAGR of 22.3% from 2024 to 2030. The major drivers for this market are increasing emphasis on improving the customer experience, rising trend of digitalization, and growing demand for large volumes of data analysis.

A more than 150-page report is developed to help in your business decisions.

Recommendation Engine by Segment

The study includes a forecast for the global recommendation engine by type, organization, application, end use, and region.

Recommendation Engine Market by Type [Shipment Analysis by Value from 2018 to 2030]:

  • Collaborative Filtering
  • Content-Based Filtering
  • Hybrid Recommendation

Recommendation Engine Market by Organization [Shipment Analysis by Value from 2018 to 2030]:

  • SMEs
  • Large Enterprise

Recommendation Engine Market by Application [Shipment Analysis by Value from 2018 to 2030]:

  • Personalized Campaigns And Customer Delivery
  • Strategy Operations And Planning
  • Product Planning And Proactive Asset Management

Recommendation Engine Market by End Use [Shipment Analysis by Value from 2018 to 2030]:

  • Information Technology
  • Healthcare
  • Retail
  • BFSI
  • Media & Entertainment
  • Others

Recommendation Engine Market by Region [Shipment Analysis by Value from 2018 to 2030]:

  • North America
  • Europe
  • Asia Pacific
  • The Rest of the World

List of Recommendation Engine Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies recommendation engine companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the recommendation engine companies profiled in this report include-

  • Adobe
  • Amazon Web Services
  • Google
  • Hewlett Packard Enterprise Development
  • International Business Machines
  • Intel
  • Microsoft
  • Oracle
  • Salesforce.com
  • SAP

Recommendation Engine Market Insights

Lucintel forecasts that personalized campaigns and customer delivery will remain the largest segment over the forecast period due to an increase in the need for improved customer service and experiences.

North America will remain the largest region over the forecast period due to the region's expanding acceptance of innovative technology and increased government backing for new technologies.

Features of the Recommendation Engine Market

Market Size Estimates: Recommendation engine market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.

Segmentation Analysis: Recommendation engine market size by type, organization, application, end use, and region in terms of value ($B).

Regional Analysis: Recommendation engine market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different type, organization, application, end use, and regions for the recommendation engine market.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of the recommendation engine market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

FAQ

Q1. What is the recommendation engine market size?

Answer: The global recommendation engine market is expected to reach an estimated $14.3 billion by 2030.

Q2. What is the growth forecast for recommendation engine market?

Answer: The global recommendation engine market is expected to grow with a CAGR of 22.3% from 2024 to 2030.

Q3. What are the major drivers influencing the growth of the recommendation engine market?

Answer: The major drivers for this market are increasing emphasis on improving the customer experience, rising trend of digitalization, and growing demand for large volumes of data analysis.

Q4. What are the major segments for recommendation engine market?

Answer: The future of the recommendation engine market looks promising with opportunities in the information technology, healthcare, retail, BFSI, and media & entertainment markets.

Q5. Who are the key recommendation engine market companies?

Answer: Some of the key recommendation engine companies are as follows.

  • Adobe
  • Amazon Web Services
  • Google
  • Hewlett Packard Enterprise Development
  • International Business Machines
  • Intel
  • Microsoft
  • Oracle
  • Salesforce.com
  • SAP

Q6. Which recommendation engine market segment will be the largest in future?

Answer: Lucintel forecasts that personalized campaigns and customer delivery will remain the largest segment over the forecast period due to an increase in the need for improved customer service and experiences.

Q7. In recommendation engine market, which region is expected to be the largest in next 5 years?

Answer: North America will remain the largest region over the forecast period due to the region's expanding acceptance of innovative technology and increased government backing for new technologies.

Q.8 Do we receive customization in this report?

Answer: Yes, Lucintel provides 10% customization without any additional cost.

This report answers following 11 key questions:

  • Q.1. What are some of the most promising, high-growth opportunities for the recommendation engine market by type (collaborative filtering, content-based filtering, and hybrid recommendation), organization (SMEs and large enterprise), application (personalized campaigns and customer delivery, strategy operations and planning, and product planning and proactive asset management), end use (information technology, healthcare, retail, BFSI, media & entertainment, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
  • Q.2. Which segments will grow at a faster pace and why?
  • Q.3. Which region will grow at a faster pace and why?
  • Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
  • Q.5. What are the business risks and competitive threats in this market?
  • Q.6. What are the emerging trends in this market and the reasons behind them?
  • Q.7. What are some of the changing demands of customers in the market?
  • Q.8. What are the new developments in the market? Which companies are leading these developments?
  • Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
  • Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
  • Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

Table of Contents

1. Executive Summary

2. Global Recommendation Engine Market : Market Dynamics

  • 2.1: Introduction, Background, and Classifications
  • 2.2: Supply Chain
  • 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2018 to 2030

  • 3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
  • 3.2. Global Recommendation Engine Market Trends (2018-2023) and Forecast (2024-2030)
  • 3.3: Global Recommendation Engine Market by Type
    • 3.3.1: Collaborative Filtering
    • 3.3.2: Content-based Filtering
    • 3.3.3: Hybrid Recommendation
  • 3.4: Global Recommendation Engine Market by Organization
    • 3.4.1: SMEs
    • 3.4.2: Large Enterprise
  • 3.5: Global Recommendation Engine Market by Application
    • 3.5.1: Personalized Campaigns and Customer Delivery
    • 3.5.2: Strategy Operations and Planning
    • 3.5.3: Product Planning and Proactive Asset Management
  • 3.6: Global Recommendation Engine Market by End Use
    • 3.6.1: Information Technology
    • 3.6.2: Healthcare
    • 3.6.3: Retail
    • 3.6.4: BFSI
    • 3.6.5: Media & Entertainment
    • 3.6.6: Others

4. Market Trends and Forecast Analysis by Region from 2018 to 2030

  • 4.1: Global Recommendation Engine Market by Region
  • 4.2: North American Recommendation Engine Market
    • 4.2.1: North American Recommendation Engine Market by Application: Personalized Campaigns and Customer Delivery, Strategy Operations and Planning, and Product Planning and Proactive Asset Management
    • 4.2.2: North American Recommendation Engine Market by End Use: Information Technology, Healthcare, Retail, BFSI, Media & Entertainment, and Others
  • 4.3: European Recommendation Engine Market
    • 4.3.1: European Recommendation Engine Market by Application: Personalized Campaigns and Customer Delivery, Strategy Operations and Planning, and Product Planning and Proactive Asset Management
    • 4.3.2: European Recommendation Engine Market by End Use: Information Technology, Healthcare, Retail, BFSI, Media & Entertainment, and Others
  • 4.4: APAC Recommendation Engine Market
    • 4.4.1: APAC Recommendation Engine Market by Application: Personalized Campaigns and Customer Delivery, Strategy Operations and Planning, and Product Planning and Proactive Asset Management
    • 4.4.2: APAC Recommendation Engine Market by End Use: Information Technology, Healthcare, Retail, BFSI, Media & Entertainment, and Others
  • 4.5: ROW Recommendation Engine Market
    • 4.5.1: ROW Recommendation Engine Market by Application: Personalized Campaigns and Customer Delivery, Strategy Operations and Planning, and Product Planning and Proactive Asset Management
    • 4.5.2: ROW Recommendation Engine Market by End Use: Information Technology, Healthcare, Retail, BFSI, Media & Entertainment, and Others

5. Competitor Analysis

  • 5.1: Product Portfolio Analysis
  • 5.2: Operational Integration
  • 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

  • 6.1: Growth Opportunity Analysis
    • 6.1.1: Growth Opportunities for the Global Recommendation Engine Market by Type
    • 6.1.2: Growth Opportunities for the Global Recommendation Engine Market by Organization
    • 6.1.3: Growth Opportunities for the Global Recommendation Engine Market by Application
    • 6.1.4: Growth Opportunities for the Global Recommendation Engine Market by End Use
    • 6.1.5: Growth Opportunities for the Global Recommendation Engine Market by Region
  • 6.2: Emerging Trends in the Global Recommendation Engine Market
  • 6.3: Strategic Analysis
    • 6.3.1: New Product Development
    • 6.3.2: Capacity Expansion of the Global Recommendation Engine Market
    • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Recommendation Engine Market
    • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

  • 7.1: Adobe
  • 7.2: Amazon Web Services
  • 7.3: Google
  • 7.4: Hewlett Packard Enterprise Development
  • 7.5: International Business Machines
  • 7.6: Intel
  • 7.7: Microsoft
  • 7.8: Oracle
  • 7.9: Salesforce.com
  • 7.10: SAP
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