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市场调查报告书
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1865533

全球人工智慧驱动的个人化引擎市场：预测至 2032 年—按组件、部署方式、技术、应用、最终用户和地区进行分析

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个工作天内

价格

根据 Stratistics MRC 的一项研究，全球人工智慧驱动的个人化引擎市场预计将在 2025 年达到 4,886.4 亿美元，并在 2032 年达到 8001.9 亿美元，在预测期内以 7.3% 的复合年增长率增长。

人工智慧驱动的个人化引擎是一种先进的软体系统，它利用人工智慧、机器学习和数据分析技术，为使用者提供客製化的体验、推荐或内容。这些引擎会分析使用者的行为、偏好、人口统计资讯和过往互动，从而预测并提案符合每位使用者独特兴趣的产品、服务和内容。它们被广泛应用于电子商务、串流媒体平台、数位行销和线上服务等领域，以提高用户参与度、满意度和转换率。透过持续学习使用者互动，人工智慧个人化引擎能够动态调整其策略，确保提供相关、及时且符合情境的体验，进而提升客户忠诚度并优化业务成果。

人工智慧和机器学习的进展

如今，演算法支援跨网站、应用程式和通讯管道的即时行为分析、预测性定向和情境化内容传送。平台正在整合深度学习、自然语言处理 (NLP) 和强化学习，以优化使用者体验和互动策略。零售、媒体、金融和医疗保健等行业对可扩展、可适应的个人化服务的需求日益增长。企业正在将人工智慧能力与客户体验、忠诚度和转换目标相结合。这些趋势正在推动以个人化为主导的生态系统中的平台创新。

资料隐私和安全问题

个人化需要存取敏感的行为、人口统计和交易数据，这可能招致监管机构的审查和用户的强烈反对。企业面临的挑战是如何在确保个人化准确性的同时，遵守 GDPR 和 CCPA 等资料保护法律。缺乏透明度、糟糕的使用者许可管理和资料管治会损害平台信誉和相关人员的信任。资料外洩、滥用和演算法偏差进一步加剧了风险缓解和伦理合规的困难。这些限制持续阻碍平台的可扩展性和跨产业整合。

透过个人化策略提高投资报酬率

该平台透过根据个人偏好客製化内容和互动，提升转换率、客户维繫和客户终身价值。与客户关係管理 (CRM)、客户资料平台 (CDP) 和分析工具的集成，支援全通路协调和绩效追踪。在订阅模式、电子商务和数位银行领域，对可衡量且扩充性的个人化服务的需求日益增长。企业正在将个人化成果与关键绩效指标 (KPI)、归因模型和宣传活动优化框架结合。这些趋势正在推动以投资报酬率 (ROI)主导的个人化基础设施和策略的发展。

消费者对过度个人化的抵制

过度定向、侵入式建议以及缺乏相关性都会损害使用者体验，导致使用者选择退出。消费者对演算法操控和行为分析感到不安，尤其是在缺乏透明度的情况下。企业必须在个人化、隐私控制和情境考量之间取得平衡，以避免客户流失。缺乏可解释性和道德保障会使信任建立和监管合规变得更加复杂。在对个人化高度敏感的市场中，这些限制持续阻碍平台的效能和普及。

新冠疫情的感染疾病：

疫情加速了消费者对数位互动和个人化服务的需求，他们纷纷将购物、娱乐和医疗保健等活动转移到线上管道。企业利用人工智慧引擎客製化通讯、产品推荐，并支援远端和行动平台上的工作流程。各行各业对云端原生个人化、即时分析和客户细分的投资激增。消费者和政策制定者对数据使用和演算法影响的认知度也日益提高。后疫情时代的策略将个人化定位为数位转型和客户体验的核心支柱。这些变化强化了对基于人工智慧的个人化基础设施和管治的长期投资。

预计在预测期内，零售和电子商务领域将占据最大的市场份额。

由于拥有大量数据、以转换为导向的应用场景以及平台成熟度，预计零售和电子商务领域将在预测期内占据最大的市场份额。个人化引擎支援跨网路、行动和实体店通路的产品推荐、动态定价和购物车復原。与库存管理系统、客户关係管理系统 (CRM) 和忠诚度计画的整合可提高相关性和营运效率。时尚、电子产品、食品杂货和电商平台对即时和全通路个人化的需求日益增长。企业正在将个人化策略与商品行销、客户终身价值和宣传活动报酬率 (ROI) 结合。这些能力正在增强以电商为中心的个人化平台在该领域的竞争优势。

预计在预测期内，医疗保健和生命科学领域将实现最高的复合年增长率。

在预测期内，医疗保健和生命科学领域预计将保持最高的成长率，这主要得益于个人化引擎在病人参与、临床决策支援和数位疗法领域的应用扩展。这些平台能够根据患者的病历、偏好和风险状况，客製化健康资讯、预约提醒和治疗方案。与电子健康记录 (EHR)、远端医疗和穿戴式装置数据的整合，增强了情境化回应和结果追踪。在慢性病照护、心理健康和健康管理计画中，对扩充性且符合隐私权规定的个人化服务的需求日益增长。医疗服务提供者正在将个人化服务与治疗依从性、病人参与和基于价值的医疗指标联繫起来。

占比最大的地区：

由于企业对数位基础设施的投资、消费者数据的可用性以及个人化技术的运用，预计北美将在预测期内保持最大的市场份额。零售、金融、医疗保健和媒体产业的企业正在采用人工智慧引擎来优化用户互动、转换率和留存率。对云端平台、资料管治和演算法创新的投资有助于提高扩充性和合规性。主要供应商、研究机构和法规结构的存在正在推动生态系统的成熟和普及。企业正在调整其个人化策略，使其与隐私要求、客户体验目标和竞争优势一致。

复合年增长率最高的地区：

预计亚太地区在预测期内将实现最高的复合年增长率，这主要得益于行动优先互动、数位商务和医疗健康创新在该地区经济体的融合。中国、印度、日本和韩国等国家正在零售、金融科技、教育科技和医疗科技领域拓展个人化平台。政府支持计画正在推动人工智慧在个人化应用场景中的应用、数据基础设施建设和Start-Ups孵化。本地供应商提供多语言、文化适应性强且经济高效的解决方案，以满足当地消费行为和合规要求。都市区和农村地区对扩充性且整体性的个人化平台的需求日益增长。这些趋势正在加速基于人工智慧的个人化技术的创新和应用，从而推动全部区域的成长。

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  • 公司简介
    • 对最多三家其他公司进行全面分析
    • 对主要企业进行SWOT分析（最多3家公司）
  • 区域分类
    • 根据客户兴趣对主要国家进行市场估算、预测和复合年增长率分析（註：基于可行性检查）
  • 竞争基准化分析
    • 基于产品系列、地域覆盖和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 引言

  • 概述
  • 相关利益者
  • 分析范围
  • 分析方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 分析方法
  • 分析材料
    • 原始研究资料
    • 二手研究资讯来源
    • 先决条件

第三章 市场趋势分析

  • 介绍
  • 司机
  • 抑制因素
  • 市场机会
  • 威胁
  • 技术分析
  • 应用分析
  • 新兴市场
  • 新冠疫情的感染疾病

第四章 波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代产品的威胁
  • 新参与企业的威胁
  • 公司间的竞争

第五章 全球人工智慧驱动个人化引擎市场（按组件划分）

  • 介绍
  • 软体
    • 个人化引擎平台
    • 客户资料平台（CDP）
    • 人工智慧分析和推荐工具
    • 整合/API中间件
  • 服务
    • 咨询与策略
    • 部署和集成
    • 託管服务
    • 培训支援

第六章 全球人工智慧驱动的个人化引擎市场（依部署方式划分）

  • 介绍
  • 云端基础的
  • 本地部署

7. 全球人工智慧驱动的个人化引擎市场（依技术划分）

  • 介绍
  • 机器学习/深度学习
  • 自然语言处理（NLP）
  • 强化学习
  • 预测分析
  • 即时决策引擎
  • 人工智慧驱动的推荐系统
  • 电脑视觉和情感人工智慧
  • 用于动态内容创作的生成式人工智慧
  • 其他技术

第九章：全球人工智慧驱动的个人化引擎市场（按应用划分）

  • 介绍
  • 网站个人化
  • 展示广告个人化
  • 社群媒体个人化
  • 电子邮件和客户关係管理个人化
  • 行动应用个性化
  • 语音和对话介面
  • 其他用途

第十章：全球人工智慧驱动的个人化引擎市场（按最终用户划分）

  • 介绍
  • 零售与电子商务
  • 媒体与娱乐
  • 旅游与饭店
  • 银行、金融服务和保险（BFSI）
  • 医学与生命科​​学
  • 教育/数位学习
  • 其他最终用户

第十一章：全球人工智慧驱动的个人化引擎市场（按地区划分）

  • 介绍
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十二章：主要趋势

  • 合约、商业伙伴关係和合资企业
  • 企业合併（M&A）
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十三章：公司简介

  • 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.