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市場調查報告書
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1772472

美國基於人工智慧的個人化引擎市場規模、佔有率、趨勢分析報告：按組件、技術、應用、部署、最終用途、細分市場預測，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個工作天內

價格

美國基於人工智慧的個人化引擎市場概況

美國基於人工智慧的個人化引擎市場規模預計在2024年達到1,054億美元，到2033年將達到1,683.4億美元，2025年至2033年的複合年成長率為5.5%。美國基於人工智慧的個人化引擎市場正在蓬勃發展。企業專注於提高客戶參與，並採用數據主導策略提供個人化體驗。隨著人工智慧和即時分析技術的進步，這一趨勢預計將加速發展。

隨著企業尋求提供動態、情境感知體驗，即時個人化正成為關鍵趨勢。體育賽事直播、串流媒體和電子商務活動等使用案例凸顯了對能夠即時處理和回應即時數據的引擎的需求。人工智慧系統正在開發中，以即時提取行為、交易和環境數據。這使得在用戶互動的精確時刻提供更相關的內容、優惠和建議。對即時的需求正在推動資料管道、邊緣運算和低延遲人工智慧模型的創新。因此，即時個人化正成為希望提高參與度和轉換率的美國公司的關鍵差異化因素。例如，IBM 公司於 2025 年 5 月與法拉利賽車部門 Scuderia Ferrari 合作，推出一款使用 Watsonx 的人工智慧應用程式。此次夥伴關係旨在透過使用企業人工智慧將複雜的比賽數據即時轉化為可擴展的沉浸式數位體驗，從而增強粉絲的參與度。

個人化工作流程的自動化正成為美國基於人工智慧的個人化引擎市場的一大趨勢。這一趨勢旨在減少複雜流程中對人工操作的需求。自動化這些工作流程使企業能夠更有效率地處理任務。內容管理和受眾定位是受益於這種自動化的關鍵環節。簡化這些任務使企業能夠跨多個平台擴展其個人化工作。增強的可擴展性有助於滿足日益成長的客製化使用者體驗需求。因此，企業將能夠提供更一致、更及時的個人化服務。這將增強客戶參與並帶來更好的結果。例如，Adobe 於 2025 年 3 月宣布推出 Agent Orchestrator 和 Brand Concierge 等人工智慧代理。這些工具旨在最佳化網站、管理內容、定位受眾並提供個人化的客戶體驗。

生成式人工智慧的整合正在成為美國基於人工智慧的個人化引擎市場的主要趨勢。生成式人工智慧模型能夠根據個人使用者偏好產生客製化內容。這些模型可以自動產生個人化的優惠、訊息和建議。這使企業能夠擴展其個人化工作，而無需過度依賴手動內容創建。使用生成式人工智慧，企業可以提供與客戶產生更深共鳴的獨特體驗。該技術支援各種類型的內容，包括文字、圖像和影片。這種多功能性使品牌能夠透過多種管道有效地吸引用戶。此外，生成式人工智慧會根據使用者互動和回饋即時調整內容。這種動態方法提高了相關性和使用者滿意度。因此，採用生成式人工智慧的企業可以透過大規模增強個人化來獲得競爭優勢。

目錄

第1章調查方法與範圍

第2章執行摘要

第 3 章美國基於 AI 的個人化引擎市場變數、趨勢和範圍

  • 美國基於人工智慧的個人化引擎市場前景
  • 產業價值鏈分析
  • 市場動態
    • 市場促進因素分析
    • 市場限制因素分析
    • 產業挑戰
  • 波特五力分析
    • 供應商權力
    • 買方力量
    • 替代威脅
    • 來自新進入者的威脅
    • 競爭對手之間的競爭
  • PESTEL分析
    • 政治
    • 經濟
    • 社會
    • 科技
    • 環境
    • 合法的

第4章美國基於人工智慧的個人化引擎市場：組件展望與預測

  • 美國基於人工智慧的個人化引擎市場：組件變異分析，2024 年與 2033 年

第5章美國基於人工智慧的個人化引擎市場：技術格局展望與預測

  • 美國基於人工智慧的個人化引擎市場：技術變革分析，2024 年與 2033 年
    • 機器學習和深度學習
    • 基於內容的過濾
    • 混合推薦系統
    • 協同過濾
    • 自然語言處理（NLP）
    • 其他

第6章美國基於人工智慧的個人化引擎市場：應用展望與預測

  • 美國基於人工智慧的個人化引擎市場：2024 年和 2033 年應用趨勢分析

第7章美國基於AI的個人化引擎市場：發展展望與預測

  • 美國基於人工智慧的個人化引擎市場：2024 年和 2033 年成長趨勢分析
    • 本地
    • 雲

第8章美國基於人工智慧的個人化引擎市場：最終用途格局展望與預測

  • 美國基於人工智慧的個人化引擎市場：2024 年與 2033 年最終用途趨勢分析
    • BFSI
    • 媒體與娛樂
    • 衛生保健
    • 資訊科技/通訊
    • 零售與電子商務
    • 車
    • 旅遊與飯店
    • 教育
    • 其他

第9章 競爭態勢

  • 主要市場參與企業的近期趨勢和影響分析
  • 供應商格局
    • 公司分類
    • 主要經銷商和通路合作夥伴名單
    • 潛在客戶名單
  • 競爭動態
    • 競爭基準化分析
    • 戰略地圖
    • 熱圖分析
  • 公司簡介/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