查看购物车
  • Traditional Chinese
  • English
  • Japanese
封面
市场调查报告书
商品编码
1772472

美国基于人工智慧的个人化引擎市场规模、份额、趋势分析报告：按组件、技术、应用、部署、最终用途、细分市场预测，2025 年至 2033 年

U.S. AI-based Personalization Engines Market Size, Share & Trends Analysis Report By Component, By Technology, By Application, By Deployment, By End Use, And Segment Forecasts, 2025 - 2033
出版日期: | 出版商: Grand View Research | 英文 100 Pages | 商品交期: 2-10个工作天内

价格

美国基于人工智慧的个人化引擎市场概况

美国基于人工智慧的个人化引擎市场规模预计在2024年达到1,054亿美元，到2033年将达到1,683.4亿美元，2025年至2033年的复合年增长率为5.5%。美国基于人工智慧的个人化引擎市场正在蓬勃发展。企业专注于提高客户参与，并采用数据主导策略提供个人化体验。随着人工智慧和即时分析技术的进步，这一趋势预计将加速发展。

随着企业寻求提供动态、情境感知体验，即时个人化正成为关键趋势。体育赛事直播、串流媒体和电子商务活动等使用案例凸显了对能够即时处理和回应即时数据的引擎的需求。人工智慧系统正在开发中，以即时提取行为、交易和环境数据。这使得在用户互动的精确时刻提供更相关的内容、优惠和建议。对即时的需求正在推动资料管道、边缘运算和低延迟人工智慧模型的创新。因此，即时个人化正成为希望提高参与度和转换率的美国公司的关键差异化因素。例如，IBM 公司于 2025 年 5 月与法拉利赛车部门 Scuderia Ferrari 合作，推出一款使用 Watsonx 的人工智慧应用程式。此次伙伴关係旨在透过使用企业人工智慧将复杂的比赛数据即时转化为可扩展的沉浸式数位体验，从而增强粉丝的参与度。

个人化工作流程的自动化正成为美国基于人工智慧的个人化引擎市场的一大趋势。这一趋势旨在减少复杂流程中对人工操作的需求。自动化这些工作流程使企业能够更有效率地处理任务。内容管理和受众定位是受益于这种自动化的关键环节。简化这些任务使企业能够跨多个平台扩展其个人化工作。增强的可扩展性有助于满足日益增长的客製化使用者体验需求。因此，企业将能够提供更一致、更及时的个人化服务。这将增强客户参与并带来更好的结果。例如，Adobe 于 2025 年 3 月宣布推出 Agent Orchestrator 和 Brand Concierge 等人工智慧代理。这些工具旨在优化网站、管理内容、定位受众并提供个人化的客户体验。

生成式人工智慧的整合正在成为美国基于人工智慧的个人化引擎市场的主要趋势。生成式人工智慧模型能够根据个人使用者偏好产生客製化内容。这些模型可以自动产生个人化的优惠、讯息和建议。这使企业能够扩展其个人化工作，而无需过度依赖手动内容创建。使用生成式人工智慧，企业可以提供与客户产生更深共鸣的独特体验。该技术支援各种类型的内容，包括文字、图像和影片。这种多功能性使品牌能够透过多种管道有效地吸引用户。此外，生成式人工智慧会根据使用者互动和回馈即时调整内容。这种动态方法提高了相关性和使用者满意度。因此，采用生成式人工智慧的企业可以透过大规模增强个人化来获得竞争优势。

目录

第一章调查方法与范围

第二章执行摘要

第 3 章美国基于 AI 的个人化引擎市场变数、趋势和范围

  • 美国基于人工智慧的个人化引擎市场前景
  • 产业价值链分析
  • 市场动态
    • 市场驱动因素分析
    • 市场限制因素分析
    • 产业挑战
  • 波特五力分析
    • 供应商权力
    • 买方力量
    • 替代威胁
    • 来自新进入者的威胁
    • 竞争对手之间的竞争
  • PESTEL分析
    • 政治
    • 经济
    • 社会
    • 科技
    • 环境
    • 合法的

第四章美国基于人工智慧的个人化引擎市场：组件展望与预测

  • 美国基于人工智慧的个人化引擎市场：组件变异分析，2024 年与 2033 年

第五章美国基于人工智慧的个人化引擎市场：技术格局展望与预测

  • 美国基于人工智慧的个人化引擎市场：技术变革分析，2024 年与 2033 年
    • 机器学习和深度学习
    • 基于内容的过滤
    • 混合推荐系统
    • 协同过滤
    • 自然语言处理（NLP）
    • 其他的

第六章美国基于人工智慧的个人化引擎市场：应用展望与预测

  • 美国基于人工智慧的个人化引擎市场：2024 年和 2033 年应用趋势分析

第七章美国基于AI的个人化引擎市场：发展展望与预测

  • 美国基于人工智慧的个人化引擎市场：2024 年和 2033 年成长趋势分析
    • 本地
    • 云

第八章美国基于人工智慧的个人化引擎市场：最终用途格局展望与预测

  • 美国基于人工智慧的个人化引擎市场：2024 年与 2033 年最终用途趋势分析
    • BFSI
    • 媒体与娱乐
    • 卫生保健
    • 资讯科技/通讯
    • 零售与电子商务
    • 车
    • 旅游与饭店
    • 教育
    • 其他的

第九章 竞争态势

  • 主要市场参与企业的近期趋势和影响分析
  • 供应商格局
    • 公司分类
    • 主要经销商和通路合作伙伴名单
    • 潜在客户名单
  • 竞争动态
    • 竞争基准化分析
    • 战略地图
    • 热图分析
  • 公司简介/上市公司
    • Adobe
    • Amazon Web Services, Inc.
    • Google LLC
    • IBM Corporation
    • Microsoft
    • NVIDIA Corporation
    • Oracle
    • SAP SE
    • Salesforce, Inc.
    • Zeta Global Corp.
Product Code: GVR-4-68040-619-2

U.S. AI-based Personalization Engines Market Summary

The U.S. AI-based personalization engines market size was valued at USD 105.40 billion in 2024 and is projected to reach USD 168.34 billion by 2033, growing at a CAGR of 5.5% from 2025 to 2033. The U.S. AI-Based Personalization Engines market is growing. Companies are focusing on improving customer engagement. They are using data-driven strategies to deliver personalized experiences. This trend is expected to accelerate with advancements in AI and real-time analytics.

Real-time personalization is becoming a key trend as businesses seek to deliver dynamic, context-aware experiences. Use cases such as live sports, streaming, and e-commerce events highlight the need for engines that can process and respond to live data instantly. AI systems are being developed to ingest behavioral, transactional, and environmental data in real-time. This enables more relevant content, offers, or recommendations at the exact moment of user interaction. The demand for immediacy is driving innovation in data pipelines, edge computing, and low-latency AI models. As a result, real-time personalization is emerging as a critical differentiator for U.S. enterprises aiming to boost engagement and conversion. For instance, in May 2025, IBM Corporation partnered with Scuderia Ferrari, the racing division of Ferrari, to launch an AI-powered app using Watsonx, transforming live race data into personalized content and interactive experiences for fans. This partnership aims to enhance fan engagement by using enterprise AI to transform complex race data into real-time, scalable, and immersive digital experiences.

Automation of personalization workflows is becoming a major trend in the U.S. AI-Based Personalization Engines market. This trend focuses on reducing the need for manual intervention in complex processes. By automating these workflows, businesses can handle tasks more efficiently. Content management and audience targeting are key areas benefiting from this automation. Streamlining these tasks allows companies to scale their personalization efforts across multiple platforms. Increased scalability helps meet the growing demand for tailored user experiences. As a result, businesses can provide more consistent and timely personalization. This enhances customer engagement and drives better outcomes. For instance, in March 2025, Adobe introduced AI agents such as Agent Orchestrator and Brand Concierge. These tools aim to optimize websites, manage content, refine target audiences, and deliver personalized customer experiences.

Integration of generative AI is becoming a significant trend in the U.S. AI-Based Personalization Engines market. Generative AI models have the ability to produce customized content tailored to individual user preferences. These models can generate personalized offers, messages, and recommendations automatically. This enables businesses to scale their personalization efforts without relying heavily on manual content creation. Using generative AI, companies deliver unique experiences that resonate more deeply with customers. The technology supports a variety of content types, including text, images, and even video. This versatility allows brands to engage users across multiple channels effectively. Moreover, generative AI adapts content in real time based on user interactions and feedback. This dynamic approach improves relevance and user satisfaction. As a result, companies adopting generative AI gain a competitive edge through enhanced personalization at scale.

U.S. AI-based Personalization Engines Market Report Segmentation

This report offers revenue growth forecasts at the country level and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the U.S. AI-based personalization engines market report based on component, technology, application, deployment and end use:

  • Component (Revenue, USD Billion, 2021 - 2033)
  • Software
  • Services
  • Technology Outlook (Revenue, USD Billion, 2021 - 2033)
  • Machine Learning and Deep Learning
  • Content-Based Filtering
  • Hybrid Recommendation Systems
  • Collaborative Filtering
  • Natural Language Processing (NLP)
  • Others
  • Application (Revenue, USD Billion, 2021 - 2033)
  • Website Personalization
  • Email Personalization
  • Display Ads Personalization
  • Social Media Personalization
  • Others
  • Deployment Outlook (Revenue, USD Billion, 2021 - 2033)
  • On-premises
  • Cloud
  • End Use (Revenue, USD Billion, 2021 - 2033)
  • BFSI
  • Media & Entertainment
  • Healthcare
  • IT & Telecom
  • Retail & E-commerce
  • Automotive
  • Travel & Hospitality
  • Education
  • Others

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation & Scope
  • 1.2. Market Definition
  • 1.3. Information Procurement
    • 1.3.1. Purchased Database
    • 1.3.2. GVR's Internal Database
    • 1.3.3. Secondary Sources & Third-Party Perspectives
    • 1.3.4. Primary Research
  • 1.4. Information Analysis
    • 1.4.1. Data Analysis Models
  • 1.5. Market Formulation & Data Visualization
  • 1.6. Data Validation & Publishing

Chapter 2. Executive Summary

  • 2.1. Market Insights
  • 2.2. Segmental Outlook
  • 2.3. Competitive Outlook

Chapter 3. U.S. AI-Based Personalization Engines Market Variables, Trends & Scope

  • 3.1. U.S. AI-Based Personalization Engines Market Outlook
  • 3.2. Industry Value Chain Analysis
  • 3.3. Market Dynamics
    • 3.3.1. Market Driver Analysis
    • 3.3.2. Market Restraint Analysis
    • 3.3.3. Industry Challenges
  • 3.4. Porter's Five Forces Analysis
    • 3.4.1. Supplier Power
    • 3.4.2. Buyer Power
    • 3.4.3. Substitution Threat
    • 3.4.4. Threat from New Entrant
    • 3.4.5. Competitive Rivalry
  • 3.5. PESTEL Analysis
    • 3.5.1. Political Landscape
    • 3.5.2. Economic Landscape
    • 3.5.3. Social Landscape
    • 3.5.4. Technological Landscape
    • 3.5.5. Environmental Landscape
    • 3.5.6. Legal Landscape

Chapter 4. U.S. AI-Based Personalization Engines Market: Component Estimates & Forecasts

  • 4.1. U.S. AI-Based Personalization Engines Market: Component Movement Analysis, 2024 & 2033
    • 4.1.1. Software
      • 4.1.1.1. Software Market estimates and forecast, 2021 - 2033 (USD Billion)
    • 4.1.2. Services
      • 4.1.2.1. Services Market estimates and forecast, 2021 - 2033 (USD Billion)

Chapter 5. U.S. AI-Based Personalization Engines Market: Technology Outlook Estimates & Forecasts

  • 5.1. U.S. AI-Based Personalization Engines Market: Technology Movement Analysis, 2024 & 2033
    • 5.1.1. Machine Learning and Deep Learning
      • 5.1.1.1. Machine Learning and Deep Learning Market estimates and forecast, 2021 - 2033 (USD Billion)
    • 5.1.2. Content-Based Filtering
      • 5.1.2.1. Content-Based Filtering Market estimates and forecast, 2021 - 2033 (USD Billion)
    • 5.1.3. Hybrid Recommendation Systems
      • 5.1.3.1. Hybrid Recommendation Systems Market estimates and forecast, 2021 - 2033 (USD Billion)
    • 5.1.4. Collaborative Filtering
      • 5.1.4.1. Collaborative Filtering Market estimates and forecast, 2021 - 2033 (USD Billion)
    • 5.1.5. Natural Language Processing (NLP)
      • 5.1.5.1. Natural Language Processing (NLP) Market estimates and forecast, 2021 - 2033 (USD Billion)
    • 5.1.6. Others
      • 5.1.6.1. Others Market estimates and forecast, 2021 - 2033 (USD Billion)

Chapter 6. U.S. AI-Based Personalization Engines Market: Application Estimates & Forecasts

  • 6.1. U.S. AI-Based Personalization Engines Market: Application Movement Analysis, 2024 & 2033
    • 6.1.1. Website Personalization
      • 6.1.1.1. Website Personalization Market estimates and forecast, 2021 - 2033 (USD Billion)
    • 6.1.2. Email Personalization
      • 6.1.2.1. Email Personalization Market estimates and forecast, 2021 - 2033 (USD Billion)
    • 6.1.3. Display Ads Personalization
      • 6.1.3.1. Display Ads Personalization Market estimates and forecast, 2021 - 2033 (USD Billion)
    • 6.1.4. Social Media Personalization
      • 6.1.4.1. Social Media Personalization Market estimates and forecast, 2021 - 2033 (USD Billion)
    • 6.1.5. Others
      • 6.1.5.1. Others Market estimates and forecast, 2021 - 2033 (USD Billion)

Chapter 7. U.S. AI-Based Personalization Engines Market: Deployment Outlook Estimates & Forecasts

  • 7.1. U.S. AI-Based Personalization Engines Market: Deployment Movement Analysis, 2024 & 2033
    • 7.1.1. On-premises
      • 7.1.1.1. On-premises Market estimates and forecast, 2021 - 2033 (USD Billion)
    • 7.1.2. Cloud
      • 7.1.2.1. Cloud Market estimates and forecast, 2021 - 2033 (USD Billion)

Chapter 8. U.S. AI-Based Personalization Engines Market: End Use Outlook Estimates & Forecasts

  • 8.1. U.S. AI-Based Personalization Engines Market: End Use Movement Analysis, 2024 & 2033
    • 8.1.1. BFSI
      • 8.1.1.1. BFSI Market estimates and forecast, 2021 - 2033 (USD Billion)
    • 8.1.2. Media & Entertainment
      • 8.1.2.1. Media & Entertainment Market estimates and forecast, 2021 - 2033 (USD Billion)
    • 8.1.3. Healthcare
      • 8.1.3.1. Healthcare Market estimates and forecast, 2021 - 2033 (USD Billion)
    • 8.1.4. IT & Telecom
      • 8.1.4.1. IT & Telecom Market estimates and forecast, 2021 - 2033 (USD Billion)
    • 8.1.5. Retail & E-commerce
      • 8.1.5.1. Retail & E-commerce Market estimates and forecast, 2021 - 2033 (USD Billion)
    • 8.1.6. Automotive
      • 8.1.6.1. Automotive Market estimates and forecast, 2021 - 2033 (USD Billion)
    • 8.1.7. Travel & Hospitality
      • 8.1.7.1. Travel & Hospitality Market estimates and forecast, 2021 - 2033 (USD Billion)
    • 8.1.8. Education
      • 8.1.8.1. Education Market estimates and forecast, 2021 - 2033 (USD Billion)
    • 8.1.9. Others
      • 8.1.9.1. Others Market estimates and forecast, 2021 - 2033 (USD Billion)

Chapter 9. Competitive Landscape

  • 9.1. Recent Developments & Impact Analysis, By Key Market Participants
  • 9.2. Vendor Landscape
    • 9.2.1. Company categorization
    • 9.2.2. List of Key Distributors and channel Partners
    • 9.2.3. List of Potential Customers/Listing
  • 9.3. Competitive Dynamics
    • 9.3.1. Competitive Benchmarking
    • 9.3.2. Strategy Mapping
    • 9.3.3. Heat Map Analysis
  • 9.4. Company Profiles/Listing
    • 9.4.1. Adobe
      • 9.4.1.1. Participant's overview
      • 9.4.1.2. Financial performance
      • 9.4.1.3. Component benchmarking
      • 9.4.1.4. Strategic initiatives
    • 9.4.2. Amazon Web Services, Inc.
      • 9.4.2.1. Participant's overview
      • 9.4.2.2. Financial performance
      • 9.4.2.3. Component benchmarking
      • 9.4.2.4. Strategic initiatives
    • 9.4.3. Google LLC
      • 9.4.3.1. Participant's overview
      • 9.4.3.2. Financial performance
      • 9.4.3.3. Component benchmarking
      • 9.4.3.4. Strategic initiatives
    • 9.4.4. IBM Corporation
      • 9.4.4.1. Participant's overview
      • 9.4.4.2. Financial performance
      • 9.4.4.3. Component benchmarking
      • 9.4.4.4. Strategic initiatives
    • 9.4.5. Microsoft
      • 9.4.5.1. Participant's overview
      • 9.4.5.2. Financial performance
      • 9.4.5.3. Component benchmarking
      • 9.4.5.4. Strategic initiatives
    • 9.4.6. NVIDIA Corporation
      • 9.4.6.1. Participant's overview
      • 9.4.6.2. Financial performance
      • 9.4.6.3. Component benchmarking
      • 9.4.6.4. Strategic initiatives
    • 9.4.7. Oracle
      • 9.4.7.1. Participant's overview
      • 9.4.7.2. Financial performance
      • 9.4.7.3. Component benchmarking
      • 9.4.7.4. Strategic initiatives
    • 9.4.8. SAP SE
      • 9.4.8.1. Participant's overview
      • 9.4.8.2. Financial performance
      • 9.4.8.3. Component benchmarking
      • 9.4.8.4. Strategic initiatives
    • 9.4.9. Salesforce, Inc.
      • 9.4.9.1. Participant's overview
      • 9.4.9.2. Financial performance
      • 9.4.9.3. Component benchmarking
      • 9.4.9.4. Strategic initiatives
    • 9.4.10. Zeta Global Corp.
      • 9.4.10.1. Participant's overview
      • 9.4.10.2. Financial performance
      • 9.4.10.3. Component benchmarking
      • 9.4.10.4. Strategic initiatives

List of Tables

  • Table 1. U.S. AI-Based Personalization Engines market estimates and forecasts, by Component, 2021 - 2033 (USD Billion)
  • Table 2. U.S. AI-Based Personalization Engines market estimates and forecasts, by Technology, 2021 - 2033 (USD Billion)
  • Table 3. U.S. AI-Based Personalization Engines market estimates and forecasts, by Application, 2021 - 2033 (USD Billion)
  • Table 4. U.S. AI-Based Personalization Engines market estimates and forecasts, by Deployment, 2021 - 2033 (USD Billion)
  • Table 5. U.S. AI-Based Personalization Engines market estimates and forecasts, by End Use, 2021 - 2033 (USD Billion)

List of Figures

  • Fig. 1 U.S. AI-Based Personalization Engines market segmentation
  • Fig. 2 Market research process
  • Fig. 3 Information procurement
  • Fig. 4 Primary research pattern
  • Fig. 5 Market research approaches
  • Fig. 6 Parent market analysis
  • Fig. 7 Market formulation & validation
  • Fig. 8 U.S. AI-Based Personalization Engines market snapshot
  • Fig. 9 U.S. AI-Based Personalization Engines market segment snapshot
  • Fig. 10 U.S. AI-Based Personalization Engines market competitive landscape snapshot
  • Fig. 11 Market driver relevance analysis (Current & future impact)
  • Fig. 12 Market restraint relevance analysis (Current & future impact)
  • Fig. 13 Value Chain Analysis
  • Fig. 14 U.S. AI-Based Personalization Engines market: Component outlook key takeaways (USD Billion)
  • Fig. 15 U.S. AI-Based Personalization Engines market: Component movement analysis 2024 & 2033 (USD Billion)
  • Fig. 16 Software market revenue estimates and forecasts, 2021 - 2033 (USD Billion)
  • Fig. 17 Services market revenue estimates and forecasts, 2021 - 2033 (USD Billion)
  • Fig. 18 U.S. AI-Based Personalization Engines market: Technology outlook key takeaways (USD Billion)
  • Fig. 19 U.S. AI-Based Personalization Engines market: Technology movement analysis 2024 & 2033 (USD Billion)
  • Fig. 20 Machine Learning and Deep Learning market revenue estimates and forecasts, 2021 - 2033 (USD Billion)
  • Fig. 21 Content-Based Filtering market revenue estimates and forecasts, 2021 - 2033 (USD Billion)
  • Fig. 22 Hybrid Recommendation Systems market revenue estimates and forecasts, 2021 - 2033 (USD Billion)
  • Fig. 23 Collaborative Filtering market revenue estimates and forecasts, 2021 - 2033 (USD Billion)
  • Fig. 24 Natural Language Processing (NLP) market revenue estimates and forecasts, 2021 - 2033 (USD Billion)
  • Fig. 25 Others market revenue estimates and forecasts, 2021 - 2033 (USD Billion)
  • Fig. 26 U.S. AI-Based Personalization Engines market: Application outlook key takeaways (USD Billion)
  • Fig. 27 U.S. AI-Based Personalization Engines market: Application movement analysis 2024 & 2033 (USD Billion)
  • Fig. 28 Website Personalization market revenue estimates and forecasts, 2021 - 2033 (USD Billion)
  • Fig. 29 Email Personalization market revenue estimates and forecasts, 2021 - 2033 (USD Billion)
  • Fig. 30 Display Ads Personalization market revenue estimates and forecasts, 2021 - 2033 (USD Billion)
  • Fig. 31 Social Media Personalization market revenue estimates and forecasts, 2021 - 2033 (USD Billion)
  • Fig. 32 Others market revenue estimates and forecasts, 2021 - 2033 (USD Billion)
  • Fig. 33 U.S. AI-Based Personalization Engines market: Application outlook key takeaways (USD Billion)
  • Fig. 34 U.S. AI-Based Personalization Engines market: Application movement analysis 2024 & 2033 (USD Billion)
  • Fig. 35 On-premises market revenue estimates and forecasts, 2021 - 2033 (USD Billion)
  • Fig. 36 Cloud market revenue estimates and forecasts, 2021 - 2033 (USD Billion)
  • Fig. 37 Healthcare market revenue estimates and forecasts, 2021 - 2033 (USD Billion)
  • Fig. 38 U.S. AI-Based Personalization Engines market: End Use outlook key takeaways (USD Billion)
  • Fig. 39 U.S. AI-Based Personalization Engines market: End Use movement analysis 2024 & 2033 (USD Billion)
  • Fig. 40 Media & Entertainment market revenue estimates and forecasts, 2021 - 2033 (USD Billion)
  • Fig. 41 BFSI market revenue estimates and forecasts, 2021 - 2033 (USD Billion)
  • Fig. 42 Media & Entertainment market revenue estimates and forecasts, 2021 - 2033 (USD Billion)
  • Fig. 43 Healthcare market revenue estimates and forecasts, 2021 - 2033 (USD Billion)
  • Fig. 44 IT & Telecom market revenue estimates and forecasts, 2021 - 2033 (USD Billion)
  • Fig. 45 Retail & E-commerce market revenue estimates and forecasts, 2021 - 2033 (USD Billion)
  • Fig. 46 Travel & Hospitality market revenue estimates and forecasts, 2021 - 2033 (USD Billion)
  • Fig. 47 Automotive market revenue estimates and forecasts, 2021 - 2033 (USD Billion)
  • Fig. 48 Education market revenue estimates and forecasts, 2021 - 2033 (USD Billion)
  • Fig. 49 Others market revenue estimates and forecasts, 2021 - 2033 (USD Billion)
  • Fig. 50 Strategy framework
  • Fig. 51 Company Categorization