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封面
市场调查报告书
商品编码
1418152

建议引擎市场报告：2030 年趋势、预测与竞争分析

Recommendation Engine Market Report: Trends, Forecast and Competitive Analysis to 2030
出版日期: | 出版商: Lucintel | 英文 150 - page report | 商品交期: 3个工作天内

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简介目录

建议引擎趋势和预测

建议引擎市场的未来看起来充满希望，IT、医疗保健、零售、BFSI 以及媒体和娱乐市场都充满机会。到2030年，建议引擎市场预计将达到143亿美元，2024年至2030年的复合年增长率为22.3%。该市场的主要驱动力是对改善客户体验的日益关注、不断增长的数位化趋势以及对大量资料分析的需求不断增加。

建议引擎市场洞察

Lucintel 预测，由于对改善客户服务和客户体验的需求不断增长，个人化宣传活动和客户交付仍将是预测期内最大的细分市场。

由于人们对创新技术的接受度不断提高以及政府对新技术的支持不断增加，北美在预测期内将继续成为最大的地区。

常问问题

Q1.市场规模有多大？

A1. 到 2030 年，全球建议引擎市场预计将达到 143 亿美元。

Q2.市场成长预测如何？

A2. 2024年至2030年，全球建议引擎市场预计将以22.3%的复合年增长率成长。

Q3.影响市场成长的主要驱动因素有哪些？

A3. 该市场的主要驱动力是对改善客户体验的日益关注、数位化趋势的上升以及对分析大量资料的需求不断增长。

Q4.市场的主要细分市场是什么？

A4.建议引擎市场的未来在IT、医疗保健、零售、BFSI、媒体娱乐市场前景看好。

Q5. 市场上主要企业有哪些？

A5.建议引擎的主要企业如下。

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

Q6.未来最大的细分市场是什么？

A6.Lucintel 预测，由于对改善客户服务和客户体验的需求不断增长，个人化宣传活动和客户优惠仍将是预测期间最大的细分市场。

Q7. 未来五年预计哪个地区将成为最大的市场？

A7. 由于对创新技术的接受程度更高以及政府对新技术的支持力度加大，北美在预测期内仍将是最大的地区。

Q8. 可以客製化报告吗？

A8. 是的，Lucintel 提供 10% 的客製化服务，无需额外付费。

目录

第一章执行摘要

第二章全球建议引擎市场：市场动态

  • 简介、背景、分类
  • 供应链
  • 产业驱动因素与挑战

第三章 2018-2030年市场趋势及预测分析

  • 宏观经济趋势（2018-2023）与预测（2024-2030）
  • 全球推荐建议市场趋势（2018-2023）与预测（2024-2030）
  • 按类型分類的全球建议引擎市场
    • 协同过滤
    • 基于内容的过滤
    • 混合推荐
  • 按组织分類的全球建议引擎市场
    • 中小企业
    • 大公司
  • 按应用分類的全球建议引擎市场
    • 个人化宣传活动和交付给客户
    • 策略管理与规划
    • 产品规划与主动资产管理
  • 按最终用途分類的全球建议引擎市场
    • 资讯科技
    • 卫生保健
    • 零售
    • BFSI
    • 媒体和娱乐
    • 其他的

第四章 2018-2030年区域市场趋势及预测分析

  • 全球建议引擎市场（按地区）
  • 北美建议引擎市场
  • 欧洲建议引擎市场
  • 亚太建议引擎市场
  • 其他地区建议引擎市场

第五章 竞争分析

  • 产品系列分析
  • 营运整合
  • 波特五力分析

第六章 成长机会与策略分析

  • 成长机会分析
    • 按类型分類的全球建议引擎市场成长机会
    • 按组织分類的全球建议引擎市场成长机会
    • 按应用分類的全球建议引擎市场成长机会
    • 全球建议推动最终用途的市场成长机会
    • 全球建议推动了各地区的市场成长机会
  • 全球建议引擎市场新趋势
  • 战略分析
    • 新产品开发
    • 扩大全球建议引擎市场容量
    • 全球建议引擎市场的合併、收购与合资
    • 认证和许可

第七章主要企业概况

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

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