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1865533

全球人工智慧驅動的個人化引擎市場：預測至 2032 年—按組件、部署方式、技術、應用、最終用戶和地區進行分析

AI-based Personalization Engines Market Forecasts to 2032 - Global Analysis By Component (Software and Services), Deployment Mode, Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的一項研究，全球人工智慧驅動的個人化引擎市場預計將在 2025 年達到 4,886.4 億美元，並在 2032 年達到 8001.9 億美元，在預測期內以 7.3% 的複合年成長率成長。

人工智慧驅動的個人化引擎是一種先進的軟體系統，它利用人工智慧、機器學習和數據分析技術，為使用者提供客製化的體驗、推薦或內容。這些引擎會分析使用者的行為、偏好、人口統計資訊和過往互動，從而預測並提案符合每位使用者獨特興趣的產品、服務和內容。它們被廣泛應用於電子商務、串流媒體平台、數位行銷和線上服務等領域，以提高用戶參與度、滿意度和轉換率。透過持續學習使用者互動，人工智慧個人化引擎能夠動態調整其策略，確保提供相關、及時且符合情境的體驗，進而提升客戶忠誠度並最佳化業務成果。

人工智慧和機器學習的進展

如今，演算法支援跨網站、應用程式和通訊管道的即時行為分析、預測性定向和情境化內容傳送。平台正在整合深度學習、自然語言處理 (NLP) 和強化學習，以最佳化使用者體驗和互動策略。零售、媒體、金融和醫療保健等行業對可擴展、可適應的個人化服務的需求日益成長。企業正在將人工智慧能力與客戶體驗、忠誠度和轉換目標相結合。這些趨勢正在推動以個人化為主導的生態系統中的平台創新。

資料隱私和安全問題

個人化需要存取敏感的行為、人口統計和交易數據，這可能招致監管機構的審查和用戶的強烈反對。企業面臨的挑戰是如何在確保個人化準確性的同時，遵守 GDPR 和 CCPA 等資料保護法律。缺乏透明度、糟糕的使用者許可管理和資料管治會損害平台信譽和相關人員的信任。資料外洩、濫用和演算法偏差進一步加劇了風險緩解和倫理合規的困難。這些限制持續阻礙平台的可擴展性和跨產業整合。

透過個人化策略提高投資報酬率

該平台透過根據個人偏好客製化內容和互動，提升轉換率、客戶維繫和客戶終身價值。與客戶關係管理 (CRM)、客戶資料平台 (CDP) 和分析工具的整合，支援全通路協調和績效追蹤。在訂閱模式、電子商務和數位銀行領域，對可衡量且擴充性的個人化服務的需求日益成長。企業正在將個人化成果與關鍵績效指標 (KPI)、歸因模型和宣傳活動最佳化框架結合。這些趨勢正在推動以投資報酬率 (ROI)主導的個人化基礎設施和策略的發展。

消費者對過度個人化的抵制

過度定向、侵入式建議以及缺乏相關性都會損害使用者體驗，導致使用者選擇退出。消費者對演算法操控和行為分析感到不安，尤其是在缺乏透明度的情況下。企業必須在個人化、隱私控制和情境考量之間取得平衡，以避免客戶流失。缺乏可解釋性和道德保障會使信任建立和監管合規變得更加複雜。在對個人化高度敏感的市場中，這些限制持續阻礙平台的效能和普及。

新冠疫情的感染疾病：

疫情加速了消費者對數位互動和個人化服務的需求，他們紛紛將購物、娛樂和醫療保健等活動轉移到線上管道。企業利用人工智慧引擎客製化通訊、產品推薦，並支援遠端和行動平台上的工作流程。各行各業對雲端原生個人化、即時分析和客戶細分的投資激增。消費者和政策制定者對數據使用和演算法影響的認知度也日益提高。後疫情時代的策略將個人化定位為數位轉型和客戶體驗的核心支柱。這些變化強化了對基於人工智慧的個人化基礎設施和管治的長期投資。

預計在預測期內，零售和電子商務領域將佔據最大的市場佔有率。

由於擁有大量數據、以轉換為導向的應用場景以及平台成熟度，預計零售和電子商務領域將在預測期內佔據最大的市場佔有率。個人化引擎支援跨網路、行動和實體店通路的產品推薦、動態定價和購物車復原。與庫存管理系統、客戶關係管理系統 (CRM) 和忠誠度計畫的整合可提高相關性和營運效率。時尚、電子產品、食品雜貨和電商平台對即時和全通路個人化的需求日益成長。企業正在將個人化策略與商品行銷、客戶終身價值和宣傳活動報酬率 (ROI) 結合。這些能力正在增強以電商為中心的個人化平台在該領域的競爭優勢。

預計在預測期內，醫療保健和生命科學領域將實現最高的複合年成長率。

在預測期內，醫療保健和生命科學領域預計將保持最高的成長率，這主要得益於個人化引擎在病人參與、臨床決策支援和數位療法領域的應用擴展。這些平台能夠根據患者的病歷、偏好和風險狀況，客製化健康資訊、預約提醒和治療方案。與電子健康記錄 (EHR)、遠端醫療和穿戴式裝置數據的整合，增強了情境化回應和結果追蹤。在慢性病照護、心理健康和健康管理計畫中，對擴充性且符合隱私權規定的個人化服務的需求日益成長。醫療服務提供者正在將個人化服務與治療依從性、病人參與和基於價值的醫療指標聯繫起來。

佔比最大的地區：

由於企業對數位基礎設施的投資、消費者數據的可用性以及個人化技術的運用，預計北美將在預測期內保持最大的市場佔有率。零售、金融、醫療保健和媒體產業的企業正在採用人工智慧引擎來最佳化用戶互動、轉換率和留存率。對雲端平台、資料管治和演算法創新的投資有助於提高擴充性和合規性。主要供應商、研究機構和法規結構的存在正在推動生態系統的成熟和普及。企業正在調整其個人化策略，使其與隱私要求、客戶體驗目標和競爭優勢一致。

複合年成長率最高的地區：

預計亞太地區在預測期內將實現最高的複合年成長率，這主要得益於行動優先互動、數位商務和醫療健康創新在該地區經濟體的融合。中國、印度、日本和韓國等國家正在零售、金融科技、教育科技和醫療科技領域拓展個人化平台。政府支持計畫正在推動人工智慧在個人化應用場景中的應用、數據基礎設施建設和Start-Ups孵化。本地供應商提供多語言、文化適應性強且經濟高效的解決方案，以滿足當地消費行為和合規要求。都市區和農村地區對擴充性且整體性的個人化平台的需求日益成長。這些趨勢正在加速基於人工智慧的個人化技術的創新和應用，從而推動全部區域的成長。

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  • 公司簡介
    • 對最多三家其他公司進行全面分析
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  • 區域分類
    • 根據客戶興趣對主要國家進行市場估算、預測和複合年成長率分析（註：基於可行性檢查）
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    • 基於產品系列、地域覆蓋和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 引言

  • 概述
  • 相關利益者
  • 分析範圍
  • 分析方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 分析方法
  • 分析材料
    • 原始研究資料
    • 二手研究資訊來源
    • 先決條件

第3章 市場趨勢分析

  • 介紹
  • 促進要素
  • 抑制因素
  • 市場機遇
  • 威脅
  • 技術分析
  • 應用分析
  • 新興市場
  • 新冠疫情的感染疾病

第4章 波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代產品的威脅
  • 新參與企業的威脅
  • 公司間的競爭

第5章 全球人工智慧驅動個人化引擎市場（按組件分類）

  • 介紹
  • 軟體
    • 個人化引擎平台
    • 客戶資料平台（CDP）
    • 人工智慧分析和推薦工具
    • 整合/API中間件
  • 服務
    • 諮詢與策略
    • 部署和整合
    • 託管服務
    • 培訓支援

第6章 全球人工智慧驅動的個人化引擎市場（依部署方式分類）

  • 介紹
  • 雲端基礎的
  • 本地部署

7. 全球人工智慧驅動的個人化引擎市場（依技術分類）

  • 介紹
  • 機器學習/深度學習
  • 自然語言處理（NLP）
  • 強化學習
  • 預測分析
  • 即時決策引擎
  • 人工智慧驅動的推薦系統
  • 電腦視覺和情感人工智慧
  • 用於動態內容創作的生成式人工智慧
  • 其他技術

第9章：全球人工智慧驅動的個人化引擎市場（按應用分類）

  • 介紹
  • 網站個人化
  • 展示廣告個人化
  • 社群媒體個人化
  • 電子郵件和客戶關係管理個人化
  • 行動應用個性化
  • 語音和對話介面
  • 其他用途

第10章：全球人工智慧驅動的個人化引擎市場（按最終用戶分類）

  • 介紹
  • 零售與電子商務
  • 媒體與娛樂
  • 旅遊與飯店
  • 銀行、金融服務和保險（BFSI）
  • 醫學與生命科​​學
  • 教育/數位學習
  • 其他最終用戶

第11章：全球人工智慧驅動的個人化引擎市場（按地區分類）

  • 介紹
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第12章：主要趨勢

  • 合約、商業夥伴關係和合資企業
  • 企業合併（M&A）
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第13章：公司簡介

  • Adobe Inc.
  • Salesforce Inc.
  • Oracle Corporation
  • SAP SE
  • Dynamic Yield Ltd.
  • Algonomy Inc.
  • Sitecore Holding II A/S
  • Insider Inc.
  • Netcore Cloud Pvt. Ltd.
  • Optimizely Inc.
  • Bloomreach Inc.
  • Kibo Software Inc.
  • RichRelevance Inc.
  • Luigi's Box sro
  • Segmentify YazIlIm AS
Product Code: SMRC32177

According to Stratistics MRC, the Global AI-based Personalization Engines Market is accounted for $488.64 billion in 2025 and is expected to reach $800.19 billion by 2032 growing at a CAGR of 7.3% during the forecast period. AI-based Personalization Engines are advanced software systems that leverage artificial intelligence, machine learning, and data analytics to deliver customized experiences, recommendations, or content to individual users. These engines analyze user behavior, preferences, demographics, and historical interactions to predict and suggest products, services, or content that align with each user's unique interests. Widely used in e-commerce, streaming platforms, digital marketing, and online services, they enhance engagement, satisfaction, and conversion rates. By continuously learning from user interactions, AI personalization engines dynamically adapt strategies, ensuring relevant, timely, and context-aware experiences, thereby driving loyalty and optimizing business outcomes.

Market Dynamics:

Driver:

Advancements in AI and machine learning

Algorithms now support real-time behavioral analysis predictive targeting and contextual content delivery across websites apps and communication channels. Platforms integrate deep learning NLP and reinforcement learning to optimize user journeys and engagement strategies. Demand for scalable and adaptive personalization is rising across retail media finance and healthcare sectors. Enterprises are aligning AI capabilities with customer experience loyalty and conversion goals. These dynamics are propelling platform innovation across personalization-driven ecosystems.

Restraint:

Data privacy and security concerns

Personalization requires access to sensitive behavioral demographic and transactional data that may trigger regulatory scrutiny and user backlash. Enterprises face challenges in complying with GDPR CCPA and other data protection laws while maintaining personalization accuracy. Lack of transparency consent management and data governance degrades platform credibility and stakeholder confidence. Breaches misuse and algorithmic bias further complicate risk mitigation and ethical alignment. These constraints continue to hinder platform scalability and cross-sector integration.

Opportunity:

Increased ROI from personalization strategies

Platforms enhance conversion rates customer retention and lifetime value by tailoring content offers and interactions to individual preferences. Integration with CRM CDP and analytics tools supports omnichannel orchestration and performance tracking. Demand for measurable and scalable personalization is rising across subscription models e-commerce and digital banking. Enterprises are aligning personalization outputs with KPIs attribution models and campaign optimization frameworks. These trends are fostering growth across ROI-driven personalization infrastructure and strategy.

Threat:

Consumer resistance to over-personalization

Excessive targeting intrusive recommendations and lack of relevance degrade user experience and trigger opt-outs. Consumers express discomfort with algorithmic manipulation and behavioral profiling especially when transparency is lacking. Enterprises must balance personalization with privacy control and contextual sensitivity to avoid backlash and churn. Lack of explainability and ethical safeguards complicates trust-building and regulatory compliance. These limitations continue to constrain platform performance and adoption across personalization-sensitive markets.

Covid-19 Impact:

The pandemic accelerated digital engagement and personalization demand as consumers shifted to online channels for shopping entertainment and healthcare. Enterprises used AI engines to tailor messaging product recommendations and support workflows across remote and mobile platforms. Investment in cloud-native personalization real-time analytics and customer segmentation surged across sectors. Public awareness of data usage and algorithmic influence increased across consumer and policy circles. Post-pandemic strategies now include personalization as a core pillar of digital transformation and customer experience. These shifts are reinforcing long-term investment in AI-based personalization infrastructure and governance.

The retail & E-commerce segment is expected to be the largest during the forecast period

The retail & E-commerce segment is expected to account for the largest market share during the forecast period due to its high-volume data availability conversion-driven use cases and platform maturity. Personalization engines support product recommendations dynamic pricing and cart recovery across web mobile and in-store channels. Integration with inventory CRM and loyalty systems enhances relevance and operational efficiency. Demand for real-time and omnichannel personalization is rising across fashion electronics grocery and marketplace models. Enterprises align personalization strategies with merchandising customer lifetime value and campaign ROI. These capabilities are boosting segment dominance across commerce-centric personalization platforms.

The healthcare & life sciences segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the healthcare & life sciences segment is predicted to witness the highest growth rate as personalization engines expand across patient engagement clinical decision support and digital therapeutics. Platforms tailor health content appointment reminders and treatment pathways based on patient history preferences and risk profiles. Integration with EHR telehealth and wearable data enhances contextualization and outcome tracking. Demand for scalable and privacy-compliant personalization is rising across chronic care mental health and wellness programs. Providers align personalization with adherence engagement and value-based care metrics.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share due to its digital infrastructure consumer data availability and enterprise investment across personalization technologies. Enterprises deploy AI engines across retail finance healthcare and media to optimize engagement conversion and retention. Investment in cloud platforms data governance and algorithmic innovation supports scalability and compliance. Presence of leading vendors research institutions and regulatory frameworks drives ecosystem maturity and adoption. Firms align personalization strategies with privacy mandates customer experience goals and competitive differentiation.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR as mobile-first engagement digital commerce and healthcare innovation converge across regional economies. Countries like China India Japan and South Korea scale personalization platforms across retail fintech edtech and healthtech sectors. Government-backed programs support AI adoption data infrastructure and startup incubation across personalization use cases. Local providers offer multilingual culturally adapted and cost-effective solutions tailored to regional consumer behavior and compliance needs. Demand for scalable and inclusive personalization infrastructure is rising across urban and rural populations. These trends are accelerating regional growth across AI-based personalization innovation and deployment.

Key players in the market

Some of the key players in AI-based Personalization Engines Market include Adobe Inc., Salesforce Inc., Oracle Corporation, SAP SE, Dynamic Yield Ltd., Algonomy Inc., Sitecore Holding II A/S, Insider Inc., Netcore Cloud Pvt. Ltd., Optimizely Inc., Bloomreach Inc., Kibo Software Inc., RichRelevance Inc., Luigi's Box s.r.o. and Segmentify YazIlIm A.S.

Key Developments:

In July 2025, Salesforce launched Personalization AI, a real-time engine built on Data Cloud and Customer 360, enabling hyper-personalized experiences across web, email, mobile, service, and sales channels. The platform transformed static interactions into intelligent engagement, offering instant recommendations and predictive content delivery. It also integrated with Agentforce, Salesforce's conversational AI layer, to enhance customer and agent interactions.

In April 2025, Adobe unveiled major upgrades to Adobe Experience Platform and Adobe Target at the Adobe Summit. These included agentic AI capabilities, enabling brands to deliver next-best experience recommendations, predictive insights, and real-time experimentation workflows. The launch marked a turning point in personalization, with AI driving measurable gains in customer engagement and operational efficiency.

Components Covered:

  • Software
  • Services

Deployment Modes Covered:

  • Cloud-Based
  • On-Premise

Technologies Covered:

  • Machine Learning & Deep Learning
  • Natural Language Processing (NLP)
  • Reinforcement Learning
  • Predictive Analytics
  • Real-Time Decision Engines
  • AI-Powered Recommendation Systems
  • Computer Vision & Emotion AI
  • Generative AI for Dynamic Content Creation
  • Other Technologies

Applications Covered:

  • Website Personalization
  • Display Advertising Personalization
  • Social Media Personalization
  • Email & CRM Personalization
  • Mobile App Personalization
  • Voice & Conversational Interfaces
  • Other Applications

End Users Covered:

  • Retail & E-Commerce
  • Media & Entertainment
  • Travel & Hospitality
  • Banking, Financial Services & Insurance (BFSI)
  • Healthcare & Life Sciences
  • Education & E-Learning
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global AI-based Personalization Engines Market, By Component

  • 5.1 Introduction
  • 5.2 Software
    • 5.2.1 Personalization Engines & Platforms
    • 5.2.2 Customer Data Platforms (CDPs)
    • 5.2.3 AI Analytics & Recommendation Tools
    • 5.2.4 Integration & API Middleware
  • 5.3 Services
    • 5.3.1 Consulting & Strategy
    • 5.3.2 Deployment & Integration
    • 5.3.3 Managed Services
    • 5.3.4 Training & Support

6 Global AI-based Personalization Engines Market, By Deployment Mode

  • 6.1 Introduction
  • 6.2 Cloud-Based
  • 6.3 On-Premise

7 Global AI-based Personalization Engines Market, By Technology

  • 7.1 Introduction
  • 7.2 Machine Learning & Deep Learning
  • 7.3 Natural Language Processing (NLP)
  • 7.4 Reinforcement Learning
  • 7.5 Predictive Analytics
  • 7.6 Real-Time Decision Engines
  • 7.7 AI-Powered Recommendation Systems
  • 7.8 Computer Vision & Emotion AI
  • 7.9 Generative AI for Dynamic Content Creation
  • 7.10 Other Technologs

9 Global AI-based Personalization Engines Market, By Application

  • 9.1 Introduction
  • 9.2 Website Personalization
  • 9.3 Display Advertising Personalization
  • 9.4 Social Media Personalization
  • 9.5 Email & CRM Personalization
  • 9.6 Mobile App Personalization
  • 9.7 Voice & Conversational Interfaces
  • 9.9 Other Applications

10 Global AI-based Personalization Engines Market, By End User

  • 10.1 Introduction
  • 10.2 Retail & E-Commerce
  • 10.3 Media & Entertainment
  • 10.4 Travel & Hospitality
  • 10.5 Banking, Financial Services & Insurance (BFSI)
  • 10.6 Healthcare & Life Sciences
  • 10.7 Education & E-Learning
  • 10.8 Other End Users

11 Global AI-based Personalization Engines Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 Adobe Inc.
  • 13.2 Salesforce Inc.
  • 13.3 Oracle Corporation
  • 13.4 SAP SE
  • 13.5 Dynamic Yield Ltd.
  • 13.6 Algonomy Inc.
  • 13.7 Sitecore Holding II A/S
  • 13.8 Insider Inc.
  • 13.9 Netcore Cloud Pvt. Ltd.
  • 13.10 Optimizely Inc.
  • 13.11 Bloomreach Inc.
  • 13.12 Kibo Software Inc.
  • 13.13 RichRelevance Inc.
  • 13.14 Luigi's Box s.r.o.
  • 13.15 Segmentify YazIlIm A.S.

List of Tables

  • Table 1 Global AI-based Personalization Engines Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global AI-based Personalization Engines Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global AI-based Personalization Engines Market Outlook, By Software (2024-2032) ($MN)
  • Table 4 Global AI-based Personalization Engines Market Outlook, By Personalization Engines & Platforms (2024-2032) ($MN)
  • Table 5 Global AI-based Personalization Engines Market Outlook, By Customer Data Platforms (CDPs) (2024-2032) ($MN)
  • Table 6 Global AI-based Personalization Engines Market Outlook, By AI Analytics & Recommendation Tools (2024-2032) ($MN)
  • Table 7 Global AI-based Personalization Engines Market Outlook, By Integration & API Middleware (2024-2032) ($MN)
  • Table 8 Global AI-based Personalization Engines Market Outlook, By Services (2024-2032) ($MN)
  • Table 9 Global AI-based Personalization Engines Market Outlook, By Consulting & Strategy (2024-2032) ($MN)
  • Table 10 Global AI-based Personalization Engines Market Outlook, By Deployment & Integration (2024-2032) ($MN)
  • Table 11 Global AI-based Personalization Engines Market Outlook, By Managed Services (2024-2032) ($MN)
  • Table 12 Global AI-based Personalization Engines Market Outlook, By Training & Support (2024-2032) ($MN)
  • Table 13 Global AI-based Personalization Engines Market Outlook, By Deployment Mode (2024-2032) ($MN)
  • Table 14 Global AI-based Personalization Engines Market Outlook, By Cloud-Based (2024-2032) ($MN)
  • Table 15 Global AI-based Personalization Engines Market Outlook, By On-Premise (2024-2032) ($MN)
  • Table 16 Global AI-based Personalization Engines Market Outlook, By Technology (2024-2032) ($MN)
  • Table 17 Global AI-based Personalization Engines Market Outlook, By Machine Learning & Deep Learning (2024-2032) ($MN)
  • Table 18 Global AI-based Personalization Engines Market Outlook, By Natural Language Processing (NLP) (2024-2032) ($MN)
  • Table 19 Global AI-based Personalization Engines Market Outlook, By Reinforcement Learning (2024-2032) ($MN)
  • Table 20 Global AI-based Personalization Engines Market Outlook, By Predictive Analytics (2024-2032) ($MN)
  • Table 21 Global AI-based Personalization Engines Market Outlook, By Real-Time Decision Engines (2024-2032) ($MN)
  • Table 22 Global AI-based Personalization Engines Market Outlook, By AI-Powered Recommendation Systems (2024-2032) ($MN)
  • Table 23 Global AI-based Personalization Engines Market Outlook, By Computer Vision & Emotion AI (2024-2032) ($MN)
  • Table 24 Global AI-based Personalization Engines Market Outlook, By Generative AI for Dynamic Content Creation (2024-2032) ($MN)
  • Table 25 Global AI-based Personalization Engines Market Outlook, By Other Technologies (2024-2032) ($MN)
  • Table 26 Global AI-based Personalization Engines Market Outlook, By Application (2024-2032) ($MN)
  • Table 27 Global AI-based Personalization Engines Market Outlook, By Website Personalization (2024-2032) ($MN)
  • Table 28 Global AI-based Personalization Engines Market Outlook, By Display Advertising Personalization (2024-2032) ($MN)
  • Table 29 Global AI-based Personalization Engines Market Outlook, By Social Media Personalization (2024-2032) ($MN)
  • Table 30 Global AI-based Personalization Engines Market Outlook, By Email & CRM Personalization (2024-2032) ($MN)
  • Table 31 Global AI-based Personalization Engines Market Outlook, By Mobile App Personalization (2024-2032) ($MN)
  • Table 32 Global AI-based Personalization Engines Market Outlook, By Voice & Conversational Interfaces (2024-2032) ($MN)
  • Table 33 Global AI-based Personalization Engines Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 34 Global AI-based Personalization Engines Market Outlook, By End User (2024-2032) ($MN)
  • Table 35 Global AI-based Personalization Engines Market Outlook, By Retail & E-Commerce (2024-2032) ($MN)
  • Table 36 Global AI-based Personalization Engines Market Outlook, By Media & Entertainment (2024-2032) ($MN)
  • Table 37 Global AI-based Personalization Engines Market Outlook, By Travel & Hospitality (2024-2032) ($MN)
  • Table 38 Global AI-based Personalization Engines Market Outlook, By Banking, Financial Services & Insurance (BFSI) (2024-2032) ($MN)
  • Table 39 Global AI-based Personalization Engines Market Outlook, By Healthcare & Life Sciences (2024-2032) ($MN)
  • Table 40 Global AI-based Personalization Engines Market Outlook, By Education & E-Learning (2024-2032) ($MN)
  • Table 41 Global AI-based Personalization Engines Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.