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AI 기반 개인화 엔진 시장 규모, 점유율, 업계 분석 보고서 : 컴포넌트별, 전개 형태별, 용도별, 기술별, 최종사용자별, 지역별 전망 및 예측(2025-2032년)

Global AI-Based Personalization Engines Market Size, Share & Industry Analysis Report By Component (Software, and Services), By Deployment (Cloud, and On-premises), By Application, By Technology, By End Use, By Regional Outlook and Forecast, 2025 - 2032
발행일: | 리서치사: 구분자 KBV Research | 페이지 정보: 영문 782 Pages | 배송안내 : 즉시배송

    
    
    



※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

세계의 AI 기반 개인화 엔진 시장 규모는 2025년에 4,362억 8,000만 달러로 평가되었고, 2032년까지 6,185억 8,000만 달러에 이를 것으로 예측되며, 예측 기간(2025-2032년) 동안 CAGR 5.1%를 보일 전망입니다. 이러한 시장 성장 전망은 전자상거래, 미디어, 은행, 헬스케어 등 다양한 분야에서 개인화된 디지털 경험에 대한 수요 증가로 뒷받침되고 있습니다. AI, 빅데이터 분석, 클라우드 플랫폼의 도입으로 실시간 고객 인사이트가 가능해지면서 고객 참여와 전환율 향상, 그리고 개인화 기술에 대한 장기적인 기업 투자를 촉진하고 있습니다.

주요 하이라이트:

  • 2024년 북미 AI 기반 개인화 엔진 시장은 전 세계 AI 기반 개인화 엔진 시장을 주도하며 2024년 매출 점유율 35.92%를 차지헀습니다.
  • 미국의 AI 기반 개인화 엔진 시장은 북미에서 선두를 유지하며 2032년까지 시장 규모가 14억 7,000만 달러에 달할 것으로 예측됩니다.
  • 최종 용도 부문 중 소매 및 전자상거래 부문이 2024년 매출 점유율 26.87%를 차지하며 세계 시장을 주도할 것으로 예측됩니다.
  • 기술별로는 머신러닝과 딥러닝 부문이 2032년까지 매출 점유율 25.07%를 차지하며 세계 시장을 주도할 것으로 예측됩니다.
  • 2024년에는 웹사이트 개인화가 주요 용도으로 부상하여 매출 점유율 39.14%를 차지했으며, 예측 기간 동안 그 우위를 유지할 것으로 예측됩니다.
  • 도입 형태의 클라우드 부문은 2032년 38억 8,000만 달러 시장 규모로 성장할 것으로 예상되며, 예측 기간 동안 선두를 유지할 것으로 예측됩니다.

소비자의 신뢰가 높아지면서 AI 기반 개인화 엔진은 디지털 데이터와 AI 기술의 발전과 함께 변화를 맞이하고 있습니다. 규칙 기반 및 정적 세분화 기법으로 구성된 기존 방식에 비해, 현대의 개인화는 머신러닝(ML), 딥러닝, 실시간 데이터 처리를 활용하여 개인 수준에서 예측 가능하고 동적이며 상황에 맞는 경험을 제공합니다. 초기 예측 분석 및 추천 시스템에서 시작하여, 이러한 엔진은 사용자의 입력 데이터로부터 주기적으로 학습하여 맞춤형 컨텐츠, 추천, 서비스를 실시간으로 제공합니다. IBM과 세일즈포스(Salesforce)와 같은 주요 기술 제공업체들은 AI 기반 개인화를 통합된 소비자 데이터 플랫폼에 통합함으로써 이러한 변화를 촉진하고 다양한 디지털 채널에서 일관성 있고 친근한 사용자 경험을 제공합니다. 사용자 친화적 인게이지먼트를 실현하고 있습니다.

표준 개인화 트렌드는 단순히 과거의 행동에 반응하는 것이 아니라, 사용자의 맥락에 즉각적으로 적응하고, 여러 채널에서 원활하게 작동하며, 사용자의 요구를 미리 예측하는 경험을 제공하는 데 초점을 맞추었습니다. 과거에는 상업용 용도에 국한되었던 것이 이제는 공공 부문의 디지털 서비스까지 확대되고 있으며, 이는 개인화된 디지털 경험이 모든 장소의 사용자들에게 당연한 기대가 되고 있음을 보여줍니다. 경쟁이 치열해지면서 각 조직은 강력한 데이터 통합, 실시간 AI 의사결정, 고급 예측 기능, 책임감 있는 데이터 거버넌스를 통해 타사와의 차별화를 꾀하고 있습니다. 이러한 분야에 대한 지속적인 투자로 AI 기반 개인화 엔진은 핵심 디지털 인프라로 진화하고 있으며, 조직이 업종에 관계없이 일관성 있고 신뢰할 수 있으며 고도로 맞춤화된 경험을 제공할 수 있도록 지원하고 있습니다.

KBV Cardinal Matrix에서 제시한 분석에 따르면, Google LLC, Microsoft Corporation, Amazon Web Services, Inc.가 AI 기반 개인화 엔진 시장의 선구자 역할을 하고 있습니다. Oracle Corporation, Salesforce, Inc. 및 IBM Corporation과 같은 기업들은 AI 기반 개인화 엔진 시장의 주요 혁신가들 중 일부입니다. 2025년 2월, 구글 LLC는 AI 기업 글랜스(Glance)와의 제휴를 발표하며 스마트폰 잠금화면과 주변 TV 화면에서 생성형 AI를 활용한 경험을 제공한다고 밝혔습니다. Glance는 구글의 Gemini 및 Imagen 모델을 활용하여 초개인화된 컨텐츠와 커머스를 실현합니다. 미국 시장을 시작으로 향후 출시 예정인 플랫폼 'Glance AI'를 통해 스마트폰을 AI 탑재 디바이스로 변화시켜 나갈 예정입니다.

목차

제1장 시장 범위와 조사 방법

제2장 시장 개관

제3장 시장 개요

제4장 시장 동향 : AI 기반 개인화 엔진 시장

제5장 경쟁 : AI 기반 개인화 엔진 시장

제6장 시장 통합 : AI 기반 개인화 엔진 시장

제7장 주요 고객 기준 : AI 기반 개인화 엔진 시장

제8장 제품수명주기 : AI 기반 개인화 엔진 시장 :

제9장 밸류체인 분석 : AI 기반 개인화 엔진 시장

제10장 경쟁 분석 : 세계

제11장 세계 시장 : 컴포넌트별

제12장 세계 시장 : 전개 형태별

제13장 세계 시장 : 용도별

제14장 세계 시장 : 기술별

제15장 세계 시장 : 최종 용도별

제16장 세계 시장 : 지역별

제17장 기업 개요

제18장 성공을 위한 필수 요건 : AI 기반 개인화 엔진 시장

LSH 26.04.13

The Global AI-Based Personalization Engines Market size is estimated at $436.28 billion in 2025 and is expected to reach $618.58 billion by 2032, rising at a market growth of 5.1% CAGR during the forecast period (2025-2032). The projected growth of the market is justified by rising demand for tailored digital experiences across e-commerce, media, banking, and healthcare. Increasing adoption of AI, big data analytics, and cloud platforms enable real-time customer insights, driving higher engagement, conversion rates, and long-term enterprise investment in personalization technologies.

Key Highlights:

  • The North America AI-Based Personalization Engines market dominated Global AI-Based Personalization Engines Market in 2024, accounting for a 35.92% revenue share in 2024.
  • The U.S. AI-Based Personalization Engines market is projected to maintain its leadership in North America, reaching a market size of USD 1.47 billion by 2032.
  • Among the End Use segments, the Retail & E-commerce segment dominated the global market, contributing a revenue share of 26.87% in 2024.
  • In terms of Technology, Machine Learning & Deep Learning segments are expected to lead the global market, with a projected revenue share of 25.07% by 2032.
  • Website Personalization emerged as the leading Application in 2024, capturing a 39.14% revenue share, and is projected to retain its dominance during the forecast period.
  • The Cloud segment in Deployment is poised to grow at the market in 2032 with a market size of USD 3.88 billion and is projected to maintain its dominant position throughout the forecast period.

Growing assurance from consumers has transformed the AI-based personalization engines and evolved the advancements in digital data and AI technologies. As compared to the conventional ways comprises of rule-based or static segmentation methods modern personalization uses ML, deep learning and real-time data processing to provide predictive, dynamic and context-aware experiences at a personal scale. Starting from the initial predictive analytics and recommender systems, these engines regularly train from the user input to customized content, recommendations, and services in real time. Key technology providers like IBM and Salesforce have spurred this transformation by implanting AI-driven personalization into combined consumer data platforms, giving congruous and relatable engagement in various digital channels.

Standard personalization trends are very much focused on delivering experiences that adapt instantly to user context, operate seamlessly across multiple channels, and proactively anticipate user needs rather than simply responding to past behavior. What was once limited to commercial applications is now extending into public sector digital services, signaling that personalized digital experiences have become a baseline expectation for users everywhere. As competition intensifies, organizations are differentiating themselves through strong data integration, real-time AI decision-making, advanced predictive capabilities, and responsible data governance. With continued investment in these areas, AI-based personalization engines are evolving into core digital infrastructure, enabling organizations to deliver consistent, trusted, and highly tailored experiences across industries.

The major strategies followed by the market participants are Partnerships as the key developmental strategy to keep pace with the changing demands of end users. For instance, In June, 2025, SAP SE announced the partnership with Phenom, making its AI-driven Intelligent Talent Experience platform an SAP Endorsed App. Integrated with SAP SuccessFactors, it enables hyper-personalized hiring through automation, improving candidate engagement, recruiter efficiency, and application conversion rates while reducing time-to-hire and manual workflows across global enterprises. Additionally, In May, 2025, Salesforce, Inc. announced the partnership with Bouygues Telecom, an internet service provider to deploy Agentforce AI agents within its CRM, enhancing customer service through automation and personalization. Integrated with Data Cloud, the system enables 360-degree customer insights, streamlining operations and empowering advisors to focus on empathetic, high-value interactions that strengthen customer relationships.

Based on the Analysis presented in the KBV Cardinal matrix; Google LLC, Microsoft Corporation, Amazon Web Services, Inc. are the forerunners in the AI-Based Personalization Engines Market. Companies such as Oracle Corporation, Salesforce, Inc., and IBM Corporation are some of the key innovators in AI-Based Personalization Engines Market. In February, 2025, Google LLC announced the partnership with Glance, an AI company to launch generative AI-powered experiences on smartphone lock screens and ambient TV screens. Using Google's Gemini and Imagen models, Glance will enable hyper-personalized content and commerce, transforming phones into AI-powered devices through its upcoming platform, "Glance AI," starting in the U.S. market.

COVID 19 Impact Analysis

The COVID-19 pandemic positively impacted on the AI-based personalization engines market as businesses accelerated digital transformation and shifted customer engagement to online channels. Lockdowns and mobility restrictions increased reliance on digital platforms, boosting demand for real-time, intelligent personalization. Growth in e-commerce, online media, and digital services strengthened adoption as companies sought to enhance user experience and conversion rates. Personalization engines became central to marketing and CRM strategies by enabling data-driven decision-making and targeted campaigns. Cloud-based AI personalization solutions gained traction due to scalability and cost efficiency. Remote work and distributed operations further supported their deployment. Overall, the pandemic reinforced the strategic importance of AI-driven personalization and supported long-term market growth. Thus, the COVID-19 pandemic had a positive impact on the market.

End Use Outlook

Based on End Use, the AI-Based Personalization Engines Market is segmented into Retail & E-commerce, BFSI, IT & Telecom, Media & Entertainment, Healthcare, Travel & Hospitality, Education, Automotive, and Other End Use. The BFSI segment attained 15% revenue share in the market in 2024. The banking, financial services, and insurance sector leverages AI-based personalization engines to enhance customer engagement, service delivery, and relationship management. Personalization technologies enable financial institutions to analyze transaction behavior, financial goals, risk profiles, and interaction histories to tailor product recommendations, communication strategies, and digital experiences.

Application Outlook

Based on Application, the AI-Based Personalization Engines Market is segmented into Website Personalization, Display Ads Personalization, Social Media Personalization, Email Personalization, and Other Application. The Display Ads Personalization segment attained 24% revenue share in the market in 2024. Display ads personalization focuses on tailoring visual advertising content to specific audience segments or individual users across digital platforms. AI-based personalization engines analyze demographic data, online behavior, purchase patterns, and contextual signals to deliver targeted advertisements that align with user preferences and interests. This application enables advertisers to optimize ad relevance, messaging, and creative formats while minimizing wasted impressions.

Regional Outlook

Region-wise, the AI-Based Personalization Engines Market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The North America segment recorded 36% revenue share in the market in 2024. North America and Europe remain at the forefront of the AI-based personalization engines market, supported by well-established digital ecosystems and early adoption of advanced AI technologies. In North America, organizations across industries such as retail, BFSI, and media actively use real-time and predictive personalization to improve customer engagement and drive better conversion results. Europe follows closely, with steady adoption led by large enterprises and a strong focus on data privacy, regulatory compliance, and ethical AI, all of which significantly influence how personalization solutions are developed and deployed across the region.

Asia Pacific and LAMEA are gaining momentum as high-growth markets, driven by rising investments in digital platforms and AI-powered engagement solutions. Asia Pacific, with key contributions from countries such as China, India, and Japan, is experiencing rapid digital expansion, widespread mobile-first usage, and a growing e-commerce landscape that fuels demand for scalable personalization technologies. Meanwhile, LAMEA remains at an earlier stage of adoption but is steadily progressing as digital transformation initiatives across sectors like retail, banking, and government services increase, positioning the region as a promising long-term market for AI-based personalization engines.

Recent Strategies Deployed in the Market

  • Jun-2025: Adobe, Inc. unveiled LLM Optimizer, an enterprise tool helping brands enhance visibility and engagement across AI-powered browsers and chat services. It tracks AI-driven traffic, benchmarks performance, and provides real-time, actionable content optimization recommendations. Integrated with Adobe Experience Manager, it supports marketers in adapting to rising consumer use of generative AI interfaces.
  • May-2025: SAP SE unveiled new Business AI tools, expanding Joule's capabilities, introducing AI agents, and enhancing Business Data Cloud features. These innovations aim to boost productivity, simplify cloud migration, and personalize enterprise processes, making AI more actionable and scalable across business functions
  • May-2025: Salesforce, Inc. acquired Informatica, a software company to enhance its AI-driven data platform. The integration will combine Informatica's cloud-native data management and governance with Salesforce's AI capabilities, enabling smarter, secure, and scalable autonomous AI agents for personalized customer experiences across enterprises.
  • May-2025: Salesforce, Inc. acquired Convergence.ai to enhance Agent force, its AI-powered CRM platform. This integration enables real-time customer intent analysis, personalized support, and automated workflows, transforming customer service. Agent force's AI-driven features will improve agent productivity and customer experiences across industries, marking a significant step in AI-powered CRM innovation.
  • Mar-2025: Amazon Web Services, Inc. unveiled "Interests," a new generative AI feature that personalizes shopping by turning natural language prompts into relevant product suggestions. Using large language models, it offers tailored recommendations, restock alerts, and deal updates, enhancing user experience. Initially, it's available to select U.S. users via the Amazon app and mobile site.

List of Key Companies Profiled

  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • Google LLC
  • IBM Corporation
  • Microsoft Corporation
  • Twilio Inc.
  • Adobe, Inc.
  • SAP SE
  • Salesforce, Inc.
  • Oracle Corporation
  • Optimizely, Inc.

Global AI-Based Personalization Engines Market Report Segmentation

By Component

  • Software
  • Services

By Deployment

  • Cloud
  • On-premises

By Application

  • Website Personalization
  • Display Ads Personalization
  • Social Media Personalization
  • Email Personalization
  • Other Application

By Technology

  • Machine Learning & Deep Learning
  • Hybrid Recommendation Systems
  • Collaborative Filtering
  • Content-Based Filtering
  • Natural Language Processing (NLP)
  • Other Technology

By End Use

  • Retail & E-commerce
  • BFSI
  • IT & Telecom
  • Media & Entertainment
  • Healthcare
  • Travel & Hospitality
  • Education
  • Automotive
  • Other End Use

By Geography

  • North America
    • US
    • Canada
    • Mexico
    • Rest of North America
  • Europe
    • Germany
    • UK
    • France
    • Russia
    • Spain
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Singapore
    • Malaysia
    • Rest of Asia Pacific
  • LAMEA
    • Brazil
    • Argentina
    • UAE
    • Saudi Arabia
    • South Africa
    • Nigeria
    • Rest of LAMEA

Table of Contents

Chapter 1. Market Scope & Methodology

  • 1.1 Market Definition
  • 1.2 Objectives
  • 1.3 Market Scope
  • 1.4 Segmentation
    • 1.4.1 Global AI-Based Personalization Engines Market, by Component
    • 1.4.2 Global AI-Based Personalization Engines Market, by Deployment
    • 1.4.3 Global AI-Based Personalization Engines Market, by Application
    • 1.4.4 Global AI-Based Personalization Engines Market, by Technology
    • 1.4.5 Global AI-Based Personalization Engines Market, by End Use
    • 1.4.6 Global AI-Based Personalization Engines Market, by Geography
  • 1.5 Methodology for the research

Chapter 2. Market at a Glance

  • 2.1 Key Highlights

Chapter 3. Market Overview

  • 3.1 Introduction
    • 3.1.1 Overview
      • 3.1.1.1 Market Composition and Scenario
  • 3.2 Key Factors Impacting the Market
    • 3.2.1 Market Drivers
    • 3.2.2 Market Restraints
    • 3.2.3 Market Opportunities
    • 3.2.4 Market Challenges

Chapter 4. Market Trends - AI-Based Personalization Engines Market

Chapter 5. State of Competition - AI-Based Personalization Engines Market

Chapter 6. Market Consolidation - AI-Based Personalization Engines Market

Chapter 7. Key Customer Criteria - AI-Based Personalization Engines Market

Chapter 8. Product Life Cycle - AI-Based Personalization Engines Market

Chapter 9. Value Chain Analysis of AI-Based Personalization Engines Market

Chapter 10. Competition Analysis - Global

  • 10.1 KBV Cardinal Matrix
  • 10.2 Recent Industry Wide Strategic Developments
    • 10.2.1 Partnerships, Collaborations and Agreements
    • 10.2.2 Product Launches and Product Expansions
    • 10.2.3 Acquisition and Mergers
  • 10.3 Market Share Analysis, 2024
  • 10.4 Top Winning Strategies
    • 10.4.1 Key Leading Strategies: Percentage Distribution (2021-2025)
    • 10.4.2 Key Strategic Move: (Partnerships, Collaborations & Agreements: 2023, Apr - 2025, Jun) Leading Players
  • 10.5 Porter Five Forces Analysis

Chapter 11. Global AI-Based Personalization Engines Market by Component

  • 11.1 Global Software Market by Region
  • 11.2 Global Services Market by Region

Chapter 12. Global AI-Based Personalization Engines Market by Deployment

  • 12.1 Global Cloud Market by Region
  • 12.2 Global On-premises Market by Region

Chapter 13. Global AI-Based Personalization Engines Market by Application

  • 13.1 Global Website Personalization Market by Region
  • 13.2 Global Display Ads Personalization Market by Region
  • 13.3 Global Social Media Personalization Market by Region
  • 13.4 Global Email Personalization Market by Region
  • 13.5 Global Other Application Market by Region

Chapter 14. Global AI-Based Personalization Engines Market by Technology

  • 14.1 Global Machine Learning & Deep Learning Market by Region
  • 14.2 Global Hybrid Recommendation Systems Market by Region
  • 14.3 Global Collaborative Filtering Market by Region
  • 14.4 Global Content-Based Filtering Market by Region
  • 14.5 Global Natural Language Processing (NLP) Market by Region
  • 14.6 Global Other Technology Market by Region

Chapter 15. Global AI-Based Personalization Engines Market by End Use

  • 15.1 Global Retail & E-commerce Market by Region
  • 15.2 Global BFSI Market by Region
  • 15.3 Global IT & Telecom Market by Region
  • 15.4 Global Media & Entertainment Market by Region
  • 15.5 Global Healthcare Market by Region
  • 15.6 Global Travel & Hospitality Market by Region
  • 15.7 Global Education Market by Region
  • 15.8 Global Automotive Market by Region
  • 15.9 Global Other End Use Market by Region

Chapter 16. Global AI-Based Personalization Engines Market by Region

  • 16.1 North America AI-Based Personalization Engines Market
  • 16.2 Key Factors Impacting the Market
    • 16.2.1 Market Drivers
    • 16.2.2 Market Restraints
    • 16.2.3 Market Opportunities
    • 16.2.4 Market Challenges
    • 16.2.5 Market Trends - North America AI-Based Personalization Engines Market
    • 16.2.6 State of Competition - North America AI-Based Personalization Engines Market
    • 16.2.7 Market Consolidation - North America AI-Based Personalization Engines Market
    • 16.2.8 Key Customer Criteria - North America AI-Based Personalization Engines Market
    • 16.2.9 Product Life Cycle - North America AI-Based Personalization Engines Market
    • 16.2.10 North America AI-Based Personalization Engines Market by Component
      • 16.2.10.1 North America Software Market by Region
      • 16.2.10.2 North America Services Market by Region
    • 16.2.11 North America AI-Based Personalization Engines Market by Deployment
      • 16.2.11.1 North America Cloud Market by Region
      • 16.2.11.2 North America On-premises Market by Region
    • 16.2.12 North America AI-Based Personalization Engines Market by Application
      • 16.2.12.1 North America Website Personalization Market by Country
      • 16.2.12.2 North America Display Ads Personalization Market by Country
      • 16.2.12.3 North America Social Media Personalization Market by Country
      • 16.2.12.4 North America Email Personalization Market by Country
      • 16.2.12.5 North America Other Application Market by Country
    • 16.2.13 North America AI-Based Personalization Engines Market by Technology
      • 16.2.13.1 North America Machine Learning & Deep Learning Market by Country
      • 16.2.13.2 North America Hybrid Recommendation Systems Market by Country
      • 16.2.13.3 North America Collaborative Filtering Market by Country
      • 16.2.13.4 North America Content-Based Filtering Market by Country
      • 16.2.13.5 North America Natural Language Processing (NLP) Market by Country
      • 16.2.13.6 North America Other Technology Market by Country
    • 16.2.14 North America AI-Based Personalization Engines Market by End Use
      • 16.2.14.1 North America Retail & E-commerce Market by Country
      • 16.2.14.2 North America BFSI Market by Country
      • 16.2.14.3 North America IT & Telecom Market by Country
      • 16.2.14.4 North America Media & Entertainment Market by Country
      • 16.2.14.5 North America Healthcare Market by Country
      • 16.2.14.6 North America Travel & Hospitality Market by Country
      • 16.2.14.7 North America Education Market by Country
      • 16.2.14.8 North America Automotive Market by Country
      • 16.2.14.9 North America Other End Use Market by Country
    • 16.2.15 North America AI-Based Personalization Engines Market by Country
      • 16.2.15.1 US AI-Based Personalization Engines Market
        • 16.2.15.1.1 US AI-Based Personalization Engines Market by Component
        • 16.2.15.1.2 US AI-Based Personalization Engines Market by Deployment
        • 16.2.15.1.3 US AI-Based Personalization Engines Market by Application
        • 16.2.15.1.4 US AI-Based Personalization Engines Market by Technology
        • 16.2.15.1.5 US AI-Based Personalization Engines Market by End Use
      • 16.2.15.2 Canada AI-Based Personalization Engines Market
        • 16.2.15.2.1 Canada AI-Based Personalization Engines Market by Component
        • 16.2.15.2.2 Canada AI-Based Personalization Engines Market by Deployment
        • 16.2.15.2.3 Canada AI-Based Personalization Engines Market by Application
        • 16.2.15.2.4 Canada AI-Based Personalization Engines Market by Technology
        • 16.2.15.2.5 Canada AI-Based Personalization Engines Market by End Use
      • 16.2.15.3 Mexico AI-Based Personalization Engines Market
        • 16.2.15.3.1 Mexico AI-Based Personalization Engines Market by Component
        • 16.2.15.3.2 Mexico AI-Based Personalization Engines Market by Deployment
        • 16.2.15.3.3 Mexico AI-Based Personalization Engines Market by Application
        • 16.2.15.3.4 Mexico AI-Based Personalization Engines Market by Technology
        • 16.2.15.3.5 Mexico AI-Based Personalization Engines Market by End Use
      • 16.2.15.4 Rest of North America AI-Based Personalization Engines Market
        • 16.2.15.4.1 Rest of North America AI-Based Personalization Engines Market by Component
        • 16.2.15.4.2 Rest of North America AI-Based Personalization Engines Market by Deployment
        • 16.2.15.4.3 Rest of North America AI-Based Personalization Engines Market by Application
        • 16.2.15.4.4 Rest of North America AI-Based Personalization Engines Market by Technology
        • 16.2.15.4.5 Rest of North America AI-Based Personalization Engines Market by End Use
  • 16.3 Europe AI-Based Personalization Engines Market
  • 16.4 Key Factors Impacting the Market
    • 16.4.1 Market Drivers
    • 16.4.2 Market Restraints
    • 16.4.3 Market Opportunities
    • 16.4.4 Market Challenges
    • 16.4.5 Market Trends - Europe AI-Based Personalization Engines Market
    • 16.4.6 State of Competition - Europe AI-Based Personalization Engines Market
    • 16.4.7 Market Consolidation - Europe AI-Based Personalization Engines Market
    • 16.4.8 Key Customer Criteria - Europe AI-Based Personalization Engines Market
    • 16.4.9 Product Life Cycle - Europe AI-Based Personalization Engines Market
    • 16.4.10 Europe AI-Based Personalization Engines Market by Component
      • 16.4.10.1 Europe Software Market by Country
      • 16.4.10.2 Europe Services Market by Country
    • 16.4.11 Europe AI-Based Personalization Engines Market by Deployment
      • 16.4.11.1 Europe Cloud Market by Country
      • 16.4.11.2 Europe On-premises Market by Country
    • 16.4.12 Europe AI-Based Personalization Engines Market by Application
      • 16.4.12.1 Europe Website Personalization Market by Country
      • 16.4.12.2 Europe Display Ads Personalization Market by Country
      • 16.4.12.3 Europe Social Media Personalization Market by Country
      • 16.4.12.4 Europe Email Personalization Market by Country
      • 16.4.12.5 Europe Other Application Market by Country
    • 16.4.13 Europe AI-Based Personalization Engines Market by Technology
      • 16.4.13.1 Europe Machine Learning & Deep Learning Market by Country
      • 16.4.13.2 Europe Hybrid Recommendation Systems Market by Country
      • 16.4.13.3 Europe Collaborative Filtering Market by Country
      • 16.4.13.4 Europe Content-Based Filtering Market by Country
      • 16.4.13.5 Europe Natural Language Processing (NLP) Market by Country
      • 16.4.13.6 Europe Other Technology Market by Country
    • 16.4.14 Europe AI-Based Personalization Engines Market by End Use
      • 16.4.14.1 Europe Retail & E-commerce Market by Country
      • 16.4.14.2 Europe BFSI Market by Country
      • 16.4.14.3 Europe IT & Telecom Market by Country
      • 16.4.14.4 Europe Media & Entertainment Market by Country
      • 16.4.14.5 Europe Healthcare Market by Country
      • 16.4.14.6 Europe Travel & Hospitality Market by Country
      • 16.4.14.7 Europe Education Market by Country
      • 16.4.14.8 Europe Automotive Market by Country
      • 16.4.14.9 Europe Other End Use Market by Country
    • 16.4.15 Europe AI-Based Personalization Engines Market by Country
      • 16.4.15.1 Germany AI-Based Personalization Engines Market
        • 16.4.15.1.1 Germany AI-Based Personalization Engines Market by Component
        • 16.4.15.1.2 Germany AI-Based Personalization Engines Market by Deployment
        • 16.4.15.1.3 Germany AI-Based Personalization Engines Market by Application
        • 16.4.15.1.4 Germany AI-Based Personalization Engines Market by Technology
        • 16.4.15.1.5 Germany AI-Based Personalization Engines Market by End Use
      • 16.4.15.2 UK AI-Based Personalization Engines Market
        • 16.4.15.2.1 UK AI-Based Personalization Engines Market by Component
        • 16.4.15.2.2 UK AI-Based Personalization Engines Market by Deployment
        • 16.4.15.2.3 UK AI-Based Personalization Engines Market by Application
        • 16.4.15.2.4 UK AI-Based Personalization Engines Market by Technology
        • 16.4.15.2.5 UK AI-Based Personalization Engines Market by End Use
      • 16.4.15.3 France AI-Based Personalization Engines Market
        • 16.4.15.3.1 France AI-Based Personalization Engines Market by Component
        • 16.4.15.3.2 France AI-Based Personalization Engines Market by Deployment
        • 16.4.15.3.3 France AI-Based Personalization Engines Market by Application
        • 16.4.15.3.4 France AI-Based Personalization Engines Market by Technology
        • 16.4.15.3.5 France AI-Based Personalization Engines Market by End Use
      • 16.4.15.4 Russia AI-Based Personalization Engines Market
        • 16.4.15.4.1 Russia AI-Based Personalization Engines Market by Component
        • 16.4.15.4.2 Russia AI-Based Personalization Engines Market by Deployment
        • 16.4.15.4.3 Russia AI-Based Personalization Engines Market by Application
        • 16.4.15.4.4 Russia AI-Based Personalization Engines Market by Technology
        • 16.4.15.4.5 Russia AI-Based Personalization Engines Market by End Use
      • 16.4.15.5 Spain AI-Based Personalization Engines Market
        • 16.4.15.5.1 Spain AI-Based Personalization Engines Market by Component
        • 16.4.15.5.2 Spain AI-Based Personalization Engines Market by Deployment
        • 16.4.15.5.3 Spain AI-Based Personalization Engines Market by Application
        • 16.4.15.5.4 Spain AI-Based Personalization Engines Market by Technology
        • 16.4.15.5.5 Spain AI-Based Personalization Engines Market by End Use
      • 16.4.15.6 Italy AI-Based Personalization Engines Market
        • 16.4.15.6.1 Italy AI-Based Personalization Engines Market by Component
        • 16.4.15.6.2 Italy AI-Based Personalization Engines Market by Deployment
        • 16.4.15.6.3 Italy AI-Based Personalization Engines Market by Application
        • 16.4.15.6.4 Italy AI-Based Personalization Engines Market by Technology
        • 16.4.15.6.5 Italy AI-Based Personalization Engines Market by End Use
      • 16.4.15.7 Rest of Europe AI-Based Personalization Engines Market
        • 16.4.15.7.1 Rest of Europe AI-Based Personalization Engines Market by Component
        • 16.4.15.7.2 Rest of Europe AI-Based Personalization Engines Market by Deployment
        • 16.4.15.7.3 Rest of Europe AI-Based Personalization Engines Market by Application
        • 16.4.15.7.4 Rest of Europe AI-Based Personalization Engines Market by Technology
        • 16.4.15.7.5 Rest of Europe AI-Based Personalization Engines Market by End Use
  • 16.5 Asia Pacific AI-Based Personalization Engines Market
  • 16.6 Key Factors Impacting the Market
    • 16.6.1 Market Drivers
    • 16.6.2 Market Restraints
    • 16.6.3 Market Opportunities
    • 16.6.4 Market Challenges
    • 16.6.5 Market Trends - Asia Pacific AI-Based Personalization Engines Market
    • 16.6.6 State of Competition - Asia Pacific AI-Based Personalization Engines Market
    • 16.6.7 Market Consolidation - Asia Pacific AI-Based Personalization Engines Market
    • 16.6.8 Key Customer Criteria - Asia Pacific AI-Based Personalization Engines Market
    • 16.6.9 Product Life Cycle - Asia Pacific AI-Based Personalization Engines Market
    • 16.6.10 Asia Pacific AI-Based Personalization Engines Market by Component
      • 16.6.10.1 Asia Pacific Software Market by Country
      • 16.6.10.2 Asia Pacific Services Market by Country
    • 16.6.11 Asia Pacific AI-Based Personalization Engines Market by Deployment
      • 16.6.11.1 Asia Pacific Cloud Market by Country
      • 16.6.11.2 Asia Pacific On-premises Market by Country
    • 16.6.12 Asia Pacific AI-Based Personalization Engines Market by Application
      • 16.6.12.1 Asia Pacific Website Personalization Market by Country
      • 16.6.12.2 Asia Pacific Display Ads Personalization Market by Country
      • 16.6.12.3 Asia Pacific Social Media Personalization Market by Country
      • 16.6.12.4 Asia Pacific Email Personalization Market by Country
      • 16.6.12.5 Asia Pacific Other Application Market by Country
    • 16.6.13 Asia Pacific AI-Based Personalization Engines Market by Technology
      • 16.6.13.1 Asia Pacific Machine Learning & Deep Learning Market by Country
      • 16.6.13.2 Asia Pacific Hybrid Recommendation Systems Market by Country
      • 16.6.13.3 Asia Pacific Collaborative Filtering Market by Country
      • 16.6.13.4 Asia Pacific Content-Based Filtering Market by Country
      • 16.6.13.5 Asia Pacific Natural Language Processing (NLP) Market by Country
      • 16.6.13.6 Asia Pacific Other Technology Market by Country
    • 16.6.14 Asia Pacific AI-Based Personalization Engines Market by End Use
      • 16.6.14.1 Asia Pacific Retail & E-commerce Market by Country
      • 16.6.14.2 Asia Pacific BFSI Market by Country
      • 16.6.14.3 Asia Pacific IT & Telecom Market by Country
      • 16.6.14.4 Asia Pacific Media & Entertainment Market by Country
      • 16.6.14.5 Asia Pacific Healthcare Market by Country
      • 16.6.14.6 Asia Pacific Travel & Hospitality Market by Country
      • 16.6.14.7 Asia Pacific Education Market by Country
      • 16.6.14.8 Asia Pacific Automotive Market by Country
      • 16.6.14.9 Asia Pacific Other End Use Market by Country
    • 16.6.15 Asia Pacific AI-Based Personalization Engines Market by Country
      • 16.6.15.1 China AI-Based Personalization Engines Market
        • 16.6.15.1.1 China AI-Based Personalization Engines Market by Component
        • 16.6.15.1.2 China AI-Based Personalization Engines Market by Deployment
        • 16.6.15.1.3 China AI-Based Personalization Engines Market by Application
        • 16.6.15.1.4 China AI-Based Personalization Engines Market by Technology
        • 16.6.15.1.5 China AI-Based Personalization Engines Market by End Use
      • 16.6.15.2 Japan AI-Based Personalization Engines Market
        • 16.6.15.2.1 Japan AI-Based Personalization Engines Market by Component
        • 16.6.15.2.2 Japan AI-Based Personalization Engines Market by Deployment
        • 16.6.15.2.3 Japan AI-Based Personalization Engines Market by Application
        • 16.6.15.2.4 Japan AI-Based Personalization Engines Market by Technology
        • 16.6.15.2.5 Japan AI-Based Personalization Engines Market by End Use
      • 16.6.15.3 India AI-Based Personalization Engines Market
        • 16.6.15.3.1 India AI-Based Personalization Engines Market by Component
        • 16.6.15.3.2 India AI-Based Personalization Engines Market by Deployment
        • 16.6.15.3.3 India AI-Based Personalization Engines Market by Application
        • 16.6.15.3.4 India AI-Based Personalization Engines Market by Technology
        • 16.6.15.3.5 India AI-Based Personalization Engines Market by End Use
      • 16.6.15.4 South Korea AI-Based Personalization Engines Market
        • 16.6.15.4.1 South Korea AI-Based Personalization Engines Market by Component
        • 16.6.15.4.2 South Korea AI-Based Personalization Engines Market by Deployment
        • 16.6.15.4.3 South Korea AI-Based Personalization Engines Market by Application
        • 16.6.15.4.4 South Korea AI-Based Personalization Engines Market by Technology
        • 16.6.15.4.5 South Korea AI-Based Personalization Engines Market by End Use
      • 16.6.15.5 Singapore AI-Based Personalization Engines Market
        • 16.6.15.5.1 Singapore AI-Based Personalization Engines Market by Component
        • 16.6.15.5.2 Singapore AI-Based Personalization Engines Market by Deployment
        • 16.6.15.5.3 Singapore AI-Based Personalization Engines Market by Application
        • 16.6.15.5.4 Singapore AI-Based Personalization Engines Market by Technology
        • 16.6.15.5.5 Singapore AI-Based Personalization Engines Market by End Use
      • 16.6.15.6 Malaysia AI-Based Personalization Engines Market
        • 16.6.15.6.1 Malaysia AI-Based Personalization Engines Market by Component
        • 16.6.15.6.2 Malaysia AI-Based Personalization Engines Market by Deployment
        • 16.6.15.6.3 Malaysia AI-Based Personalization Engines Market by Application
        • 16.6.15.6.4 Malaysia AI-Based Personalization Engines Market by Technology
        • 16.6.15.6.5 Malaysia AI-Based Personalization Engines Market by End Use
      • 16.6.15.7 Rest of Asia Pacific AI-Based Personalization Engines Market
        • 16.6.15.7.1 Rest of Asia Pacific AI-Based Personalization Engines Market by Component
        • 16.6.15.7.2 Rest of Asia Pacific AI-Based Personalization Engines Market by Deployment
        • 16.6.15.7.3 Rest of Asia Pacific AI-Based Personalization Engines Market by Application
        • 16.6.15.7.4 Rest of Asia Pacific AI-Based Personalization Engines Market by Technology
        • 16.6.15.7.5 Rest of Asia Pacific AI-Based Personalization Engines Market by End Use
  • 16.7 LAMEA AI-Based Personalization Engines Market
  • 16.8 Key Factors Impacting the Market
    • 16.8.1 Market Drivers
    • 16.8.2 Market Restraints
    • 16.8.3 Market Opportunities
    • 16.8.4 Market Challenges
    • 16.8.5 Market Trends - LAMEA AI-Based Personalization Engines Market
    • 16.8.6 State of Competition - LAMEA AI-Based Personalization Engines Market
    • 16.8.7 Market Consolidation - LAMEA AI-Based Personalization Engines Market
    • 16.8.8 Key Customer Criteria - LAMEA AI-Based Personalization Engines Market
    • 16.8.9 Product Life Cycle - LAMEA AI-Based Personalization Engines Market
    • 16.8.10 LAMEA AI-Based Personalization Engines Market by Component
      • 16.8.10.1 LAMEA Software Market by Country
      • 16.8.10.2 LAMEA Services Market by Country
    • 16.8.11 LAMEA AI-Based Personalization Engines Market by Deployment
      • 16.8.11.1 LAMEA Cloud Market by Country
      • 16.8.11.2 LAMEA On-premises Market by Country
    • 16.8.12 LAMEA AI-Based Personalization Engines Market by Application
      • 16.8.12.1 LAMEA Website Personalization Market by Country
      • 16.8.12.2 LAMEA Display Ads Personalization Market by Country
      • 16.8.12.3 LAMEA Social Media Personalization Market by Country
      • 16.8.12.4 LAMEA Email Personalization Market by Country
      • 16.8.12.5 LAMEA Other Application Market by Country
    • 16.8.13 LAMEA AI-Based Personalization Engines Market by Technology
      • 16.8.13.1 LAMEA Machine Learning & Deep Learning Market by Country
      • 16.8.13.2 LAMEA Hybrid Recommendation Systems Market by Country
      • 16.8.13.3 LAMEA Collaborative Filtering Market by Country
      • 16.8.13.4 LAMEA Content-Based Filtering Market by Country
      • 16.8.13.5 LAMEA Natural Language Processing (NLP) Market by Country
      • 16.8.13.6 LAMEA Other Technology Market by Country
    • 16.8.14 LAMEA AI-Based Personalization Engines Market by End Use
      • 16.8.14.1 LAMEA Retail & E-commerce Market by Country
      • 16.8.14.2 LAMEA BFSI Market by Country
      • 16.8.14.3 LAMEA IT & Telecom Market by Country
      • 16.8.14.4 LAMEA Media & Entertainment Market by Country
      • 16.8.14.5 LAMEA Healthcare Market by Country
      • 16.8.14.6 LAMEA Travel & Hospitality Market by Country
      • 16.8.14.7 LAMEA Education Market by Country
      • 16.8.14.8 LAMEA Automotive Market by Country
      • 16.8.14.9 LAMEA Other End Use Market by Country
    • 16.8.15 LAMEA AI-Based Personalization Engines Market by Country
      • 16.8.15.1 Brazil AI-Based Personalization Engines Market
        • 16.8.15.1.1 Brazil AI-Based Personalization Engines Market by Component
        • 16.8.15.1.2 Brazil AI-Based Personalization Engines Market by Deployment
        • 16.8.15.1.3 Brazil AI-Based Personalization Engines Market by Application
        • 16.8.15.1.4 Brazil AI-Based Personalization Engines Market by Technology
        • 16.8.15.1.5 Brazil AI-Based Personalization Engines Market by End Use
      • 16.8.15.2 Argentina AI-Based Personalization Engines Market
        • 16.8.15.2.1 Argentina AI-Based Personalization Engines Market by Component
        • 16.8.15.2.2 Argentina AI-Based Personalization Engines Market by Deployment
        • 16.8.15.2.3 Argentina AI-Based Personalization Engines Market by Application
        • 16.8.15.2.4 Argentina AI-Based Personalization Engines Market by Technology
        • 16.8.15.2.5 Argentina AI-Based Personalization Engines Market by End Use
      • 16.8.15.3 UAE AI-Based Personalization Engines Market
        • 16.8.15.3.1 UAE AI-Based Personalization Engines Market by Component
        • 16.8.15.3.2 UAE AI-Based Personalization Engines Market by Deployment
        • 16.8.15.3.3 UAE AI-Based Personalization Engines Market by Application
        • 16.8.15.3.4 UAE AI-Based Personalization Engines Market by Technology
        • 16.8.15.3.5 UAE AI-Based Personalization Engines Market by End Use
      • 16.8.15.4 Saudi Arabia AI-Based Personalization Engines Market
        • 16.8.15.4.1 Saudi Arabia AI-Based Personalization Engines Market by Component
        • 16.8.15.4.2 Saudi Arabia AI-Based Personalization Engines Market by Deployment
        • 16.8.15.4.3 Saudi Arabia AI-Based Personalization Engines Market by Application
        • 16.8.15.4.4 Saudi Arabia AI-Based Personalization Engines Market by Technology
        • 16.8.15.4.5 Saudi Arabia AI-Based Personalization Engines Market by End Use
      • 16.8.15.5 South Africa AI-Based Personalization Engines Market
        • 16.8.15.5.1 South Africa AI-Based Personalization Engines Market by Component
        • 16.8.15.5.2 South Africa AI-Based Personalization Engines Market by Deployment
        • 16.8.15.5.3 South Africa AI-Based Personalization Engines Market by Application
        • 16.8.15.5.4 South Africa AI-Based Personalization Engines Market by Technology
        • 16.8.15.5.5 South Africa AI-Based Personalization Engines Market by End Use
      • 16.8.15.6 Nigeria AI-Based Personalization Engines Market
        • 16.8.15.6.1 Nigeria AI-Based Personalization Engines Market by Component
        • 16.8.15.6.2 Nigeria AI-Based Personalization Engines Market by Deployment
        • 16.8.15.6.3 Nigeria AI-Based Personalization Engines Market by Application
        • 16.8.15.6.4 Nigeria AI-Based Personalization Engines Market by Technology
        • 16.8.15.6.5 Nigeria AI-Based Personalization Engines Market by End Use
      • 16.8.15.7 Rest of LAMEA AI-Based Personalization Engines Market
        • 16.8.15.7.1 Rest of LAMEA AI-Based Personalization Engines Market by Component
        • 16.8.15.7.2 Rest of LAMEA AI-Based Personalization Engines Market by Deployment
        • 16.8.15.7.3 Rest of LAMEA AI-Based Personalization Engines Market by Application
        • 16.8.15.7.4 Rest of LAMEA AI-Based Personalization Engines Market by Technology
        • 16.8.15.7.5 Rest of LAMEA AI-Based Personalization Engines Market by End Use

Chapter 17. Company Profiles

  • 17.1 Amazon Web Services, Inc. (Amazon.com, Inc.)
    • 17.1.1 Company Overview
    • 17.1.2 Financial Analysis
    • 17.1.3 Segmental and Regional Analysis
    • 17.1.4 Recent strategies and developments:
      • 17.1.4.1 Partnerships, Collaborations, and Agreements:
      • 17.1.4.2 Product Launches and Product Expansions:
    • 17.1.5 SWOT Analysis
  • 17.2 Google LLC
    • 17.2.1 Company Overview
    • 17.2.2 Financial Analysis
    • 17.2.3 Segmental and Regional Analysis
    • 17.2.4 Research & Development Expenses
    • 17.2.5 Recent strategies and developments:
      • 17.2.5.1 Partnerships, Collaborations, and Agreements:
      • 17.2.5.2 Product Launches and Product Expansions:
    • 17.2.6 SWOT Analysis
  • 17.3 IBM Corporation
    • 17.3.1 Company Overview
    • 17.3.2 Financial Analysis
    • 17.3.3 Regional & Segmental Analysis
    • 17.3.4 Research & Development Expenses
    • 17.3.5 Recent strategies and developments:
      • 17.3.5.1 Partnerships, Collaborations, and Agreements:
    • 17.3.6 SWOT Analysis
  • 17.4 Microsoft Corporation
    • 17.4.1 Company Overview
    • 17.4.2 Financial Analysis
    • 17.4.3 Segmental and Regional Analysis
    • 17.4.4 Research & Development Expenses
    • 17.4.5 Recent strategies and developments:
      • 17.4.5.1 Partnerships, Collaborations, and Agreements:
    • 17.4.6 SWOT Analysis
  • 17.5 Twilio, Inc.
    • 17.5.1 Company Overview
    • 17.5.2 Financial Analysis
    • 17.5.3 Segment & Regional Analysis
    • 17.5.4 Research & Development Expense
    • 17.5.5 SWOT Analysis
  • 17.6 Adobe, Inc.
    • 17.6.1 Company Overview
    • 17.6.2 Financial Analysis
    • 17.6.3 Segmental and Regional Analysis
    • 17.6.4 Research & Development Expense
    • 17.6.5 Recent strategies and developments:
      • 17.6.5.1 Partnerships, Collaborations, and Agreements:
      • 17.6.5.2 Product Launches and Product Expansions:
    • 17.6.6 SWOT Analysis
  • 17.7 SAP SE
    • 17.7.1 Company Overview
    • 17.7.2 Financial Analysis
    • 17.7.3 Regional Analysis
    • 17.7.4 Research & Development Expense
    • 17.7.5 Recent strategies and developments:
      • 17.7.5.1 Partnerships, Collaborations, and Agreements:
      • 17.7.5.2 Product Launches and Product Expansions:
    • 17.7.6 SWOT Analysis
  • 17.8 Salesforce, Inc.
    • 17.8.1 Company Overview
    • 17.8.2 Financial Analysis
    • 17.8.3 Regional Analysis
    • 17.8.4 Research & Development Expenses
    • 17.8.5 Recent strategies and developments:
      • 17.8.5.1 Partnerships, Collaborations, and Agreements:
      • 17.8.5.2 Product Launches and Product Expansions:
      • 17.8.5.3 Acquisition and Mergers:
    • 17.8.6 SWOT Analysis
  • 17.9 Oracle Corporation
    • 17.9.1 Company Overview
    • 17.9.2 Financial Analysis
    • 17.9.3 Segmental and Regional Analysis
    • 17.9.4 Research & Development Expense
    • 17.9.5 SWOT Analysis
  • 17.10. Optimizely, Inc.
    • 17.10.1 Company Overview

Chapter 18. Winning Imperatives of AI-Based Personalization Engines Market

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