查看購物車
  • Simplified Chinese
  • English
  • Japanese
  • Korean
封面
市場調查報告書
商品編碼
1418152

建議引擎市場報告：2030 年趨勢、預測與競爭分析

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個工作天內

價格

※ 本網頁內容可能與最新版本有所差異。詳細情況請與我們聯繫。

簡介目錄

建議引擎趨勢和預測

建議引擎市場的未來看起來充滿希望，IT、醫療保健、零售、BFSI 以及媒體和娛樂市場都充滿機會。到2030年，建議引擎市場預計將達到143億美元，2024年至2030年的年複合成長率為22.3%。該市場的主要驅動力是對改善客戶體驗的日益關注、不斷成長的數位化趨勢以及對大量資料分析的需求不斷增加。

建議引擎市場洞察

Lucintel 預測，由於對改善客戶服務和客戶體驗的需求不斷成長，個人化宣傳活動和客戶交付仍將是預測期內最大的細分市場。

由於人們對創新技術的接受度不斷提高以及政府對新技術的支持不斷增加，北美在預測期內將繼續成為最大的地區。

常問問題

Q1.市場規模有多大？

A1. 到 2030 年，全球建議引擎市場預計將達到 143 億美元。

Q2.市場成長預測如何？

A2. 2024年至2030年，全球建議引擎市場預計將以22.3%的年複合成長率成長。

Q3.影響市場成長的主要促進因素有哪些？

A3. 該市場的主要驅動力是對改善客戶體驗的日益關注、數位化趨勢的上升以及對分析大量資料的需求不斷成長。

Q4.市場的主要細分市場是什麼？

A4.建議引擎市場的未來在IT、醫療保健、零售、BFSI、媒體娛樂市場前景看好。

Q5. 市場上主要企業有哪些？

A5.建議引擎的主要企業如下。

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

Q6.未來最大的細分市場是什麼？

A6.Lucintel 預測，由於對改善客戶服務和客戶體驗的需求不斷成長，個人化宣傳活動和客戶優惠仍將是預測期間最大的細分市場。

Q7. 未來五年預計哪個地區將成為最大的市場？

A7. 由於對創新技術的接受程度更高以及政府對新技術的支持力度加大，北美在預測期內仍將是最大的地區。

Q8. 可以客製化報告嗎？

A8. 是的，Lucintel 提供 10% 的客製化服務，無需額外付費。

目錄

第1章執行摘要

第2章全球建議引擎市場：市場動態

  • 簡介、背景、分類
  • 供應鏈
  • 產業促進因素與挑戰

第3章 2018-2030年市場趨勢及預測分析

  • 宏觀經濟趨勢（2018-2023）與預測（2024-2030）
  • 全球推薦建議市場趨勢（2018-2023）與預測（2024-2030）
  • 按類型分類的全球建議引擎市場
    • 協同過濾
    • 基於內容的過濾
    • 混合推薦
  • 按組織分類的全球建議引擎市場
    • 中小企業
    • 主要企業
  • 按應用分類的全球建議引擎市場
    • 個人化宣傳活動和交付給客戶
    • 策略管理與規劃
    • 產品規劃與主動資產管理
  • 按最終用途分類的全球建議引擎市場
    • 資訊科技
    • 衛生保健
    • 零售
    • BFSI
    • 媒體和娛樂
    • 其他

第4章 2018-2030年區域市場趨勢及預測分析

  • 全球建議引擎市場（按地區）
  • 北美建議引擎市場
  • 歐洲建議引擎市場
  • 亞太建議引擎市場
  • 其他地區建議引擎市場

第5章 競爭分析

  • 產品系列分析
  • 營運整合
  • 波特五力分析

第6章 成長機會與策略分析

  • 成長機會分析
    • 按類型分類的全球建議引擎市場成長機會
    • 按組織分類的全球建議引擎市場成長機會
    • 按應用分類的全球建議引擎市場成長機會
    • 全球建議推動最終用途的市場成長機會
    • 全球建議推動了各地區的市場成長機會
  • 全球建議引擎市場新趨勢
  • 戰略分析
    • 新產品開發
    • 擴大全球建議引擎市場容量
    • 全球建議引擎市場的合併、收購與合資
    • 認證和許可

第7章主要企業概況

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

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