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Artificial Intelligence based Personalization Market - Global Forecast 2025-2032

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    Report

  • 190 Pages
  • November 2025
  • Region: Global
  • 360iResearch™
  • ID: 5968004
UP TO OFF until Jan 01st 2026
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The Artificial Intelligence based Personalization Market is reshaping how organizations connect with customers, driving new standards for engagement, operational efficiency, and adaptation in a fast-evolving digital landscape.

Market Snapshot: AI Personalization Market Size and Growth

The Artificial Intelligence based Personalization Market grew from USD 262.47 billion in 2024 to USD 299.84 billion in 2025, and is projected to expand at a CAGR of 15.53% to reach USD 833.43 billion by 2032. This growth reflects the increasing demand for dynamic, tailored experiences across digital channels and customer touchpoints. Organizations are increasingly investing in scalable AI technologies to gain granular consumer insights and foster brand loyalty through hyper-relevant engagements.

Scope & Segmentation

This analysis delivers a comprehensive view of the AI-based personalization landscape, structured to address strategic priorities for decision-makers. It covers major solutions, enabling technologies, core industries, global regions, and leading companies:

  • Offerings: Behavioral Targeting, Chatbots & Virtual Assistants, Display Ads Personalization, Email Personalization, Personalized Content Creation, Predictive Analytics, Social Media Personalization, Website Personalization.
  • Technology: Collaborative Filtering, Computer Vision, Deep Learning, Machine Learning Algorithms, Natural Language Processing, Predictive Analytics, Reinforcement Learning.
  • End User Industry: Automotive, Banking, Financial Services & Insurance (BFSI), E-commerce & Retail, Healthcare, Media & Entertainment, Retail & E-commerce, Telecommunications, Travel & Hospitality.
  • Region: Americas (including North America and Latin America), Europe, Middle East & Africa, Asia-Pacific.
  • Company analysis: ABB Ltd., Abmatic AI, Accenture, Adobe, AIContentfy, Amazon Web Services, Apple, Braze, Check Point Software Technologies, Cisco, Gen Digital, Google, Hewlett Packard Enterprise, Intel, IBM, Kyndryl, Microsoft, NEC, NVIDIA, Optimizely by Episerver, Oracle, Salesforce, SAP, Siemens, Simplify360.

Key Takeaways

  • Organizations now depend on AI-driven personalization to deliver dynamic, real-time interactions rather than static, segmented campaigns. This pivot unlocks greater customer loyalty and retention.
  • Enabling technologies—such as collaborative filtering, deep learning, computer vision, and reinforcement learning—provide robust analytical foundations to automate and tailor engagement across channels.
  • AI personalization strengthens operational agility, equipping businesses to quickly adjust messaging and offers in response to market signals and consumer feedback.
  • Cross-functional collaboration between IT, marketing, and compliance is increasingly vital for deploying transparent and effective personalization strategies with regulatory alignment.
  • The solutions cater to diverse industries, including automotive, BFSI, healthcare, and retail, illustrating market adaptability and emerging vertical-specific applications.
  • Global expansion is shaped by regional technology readiness, infrastructure, and local privacy regulations, requiring tailored market and product approaches.

Tariff Impact on AI Personalization Supply Chains (2025)

With heightened tariffs on imported components such as GPUs in the United States, firms have shifted sourcing strategies and invested in domestic manufacturing partnerships. These changes prompt companies to reconsider their technology stacks, increase research initiatives for resource-efficient frameworks, and manage procurement costs to maintain project momentum. Adjustments also include transparent, tariff-inclusive pricing models from cloud providers, enhancing budget predictability for AI deployments.

Methodology & Data Sources

Research leverages both qualitative and quantitative approaches. Insights are drawn from industry articles, patents, regulatory documents, executive interviews, and subject matter experts. This triangulated methodology ensures all findings reflect current best practices, real-world challenges, and validated trends. Data is systematically checked for integrity and accuracy, providing a reliable foundation for strategic planning.

Why This Report Matters

  • Enables leaders to benchmark solution offerings, capabilities, and regional opportunities within the Artificial Intelligence based Personalization Market.
  • Offers actionable intelligence to support technology selection, market entry, and operational planning aligned with evolving consumer expectations and compliance demands.
  • Improves resilience by clarifying the impact of regulatory and supply chain shifts on innovation and growth strategies.

Conclusion

This report equips decision-makers with a strategic lens to harness AI personalization for sustained customer engagement and operational differentiation. By synthesizing technology, regional, and industry insights, it supports resilient value creation in a complex, competitive global environment.

 

Additional Product Information:

  • Purchase of this report includes 1 year online access with quarterly updates.
  • This report can be updated on request. Please contact our Customer Experience team using the Ask a Question widget on our website.

Table of Contents

1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders
2. Research Methodology
3. Executive Summary
4. Market Overview
5. Market Insights
5.1. Hyper-personalized product recommendations driven by real-time behavioral analytics and AI insights
5.2. Generative AI for dynamic content creation in personalized marketing campaigns at scale
5.3. Privacy-preserving personalization using federated learning and differential privacy techniques
5.4. Contextual AI powering seamless omnichannel personalization across web, mobile, and in-store
5.5. Edge computing enabled AI personalization for instant offline customer experience optimization
5.6. Large language model integration for conversational commerce and individualized customer support
5.7. Ethical AI frameworks addressing bias mitigation in automated personalization algorithms
6. Cumulative Impact of United States Tariffs 2025
7. Cumulative Impact of Artificial Intelligence 2025
8. Artificial Intelligence based Personalization Market, by Offerings
8.1. Behavioral Targeting
8.2. Chatbots & Virtual Assistants
8.3. Display Ads Personalization
8.4. Email Personalization
8.5. Personalized Content Creation
8.6. Predictive Analytics
8.7. Social Media Personalization
8.8. Website Personalization
9. Artificial Intelligence based Personalization Market, by Technology
9.1. Collaborative Filtering
9.2. Computer Vision
9.3. Deep Learning
9.4. Machine Learning Algorithms
9.5. Natural Language Processing
9.6. Predictive Analytics
9.7. Reinforcement Learning
10. Artificial Intelligence based Personalization Market, by End User Industry
10.1. Automotive
10.2. Banking, Financial Services & Insurance (BFSI)
10.3. E-commerce & Retail
10.4. Healthcare
10.5. Media & Entertainment
10.6. Retail & E-commerce
10.7. Telecommunications
10.8. Travel & Hospitality
11. Artificial Intelligence based Personalization Market, by Region
11.1. Americas
11.1.1. North America
11.1.2. Latin America
11.2. Europe, Middle East & Africa
11.2.1. Europe
11.2.2. Middle East
11.2.3. Africa
11.3. Asia-Pacific
12. Artificial Intelligence based Personalization Market, by Group
12.1. ASEAN
12.2. GCC
12.3. European Union
12.4. BRICS
12.5. G7
12.6. NATO
13. Artificial Intelligence based Personalization Market, by Country
13.1. United States
13.2. Canada
13.3. Mexico
13.4. Brazil
13.5. United Kingdom
13.6. Germany
13.7. France
13.8. Russia
13.9. Italy
13.10. Spain
13.11. China
13.12. India
13.13. Japan
13.14. Australia
13.15. South Korea
14. Competitive Landscape
14.1. Market Share Analysis, 2024
14.2. FPNV Positioning Matrix, 2024
14.3. Competitive Analysis
14.3.1. ABB Ltd.
14.3.2. Abmatic AI, Inc
14.3.3. Accenture PLC
14.3.4. Adobe Inc.
14.3.5. AIContentfy
14.3.6. Amazon Web Services Inc.
14.3.7. Apple, Inc.
14.3.8. Braze, Inc.
14.3.9. Check Point Software Technologies,
14.3.10. Cisco Systems Inc.
14.3.11. Gen Digital Inc.
14.3.12. Google LLC by Alphabet Inc.
14.3.13. Hewlett Packard Enterprise Development LP
14.3.14. Intel Corporation
14.3.15. International Business Machines Corporation
14.3.16. Kyndryl Inc.
14.3.17. Microsoft Corporation
14.3.18. NEC Corporation
14.3.19. NVIDIA Corporation
14.3.20. Optimizely by Episerver
14.3.21. Oracle Corporation
14.3.22. Salesforce, Inc
14.3.23. SAP SE
14.3.24. Siemens AG
14.3.25. Simplify360 Inc.

Companies Mentioned

The companies profiled in this Artificial Intelligence based Personalization market report include:
  • ABB Ltd.
  • Abmatic AI, Inc
  • Accenture PLC
  • Adobe Inc.
  • AIContentfy
  • Amazon Web Services Inc.
  • Apple, Inc.
  • Braze, Inc.
  • Check Point Software Technologies,
  • Cisco Systems Inc.
  • Gen Digital Inc.
  • Google LLC by Alphabet Inc.
  • Hewlett Packard Enterprise Development LP
  • Intel Corporation
  • International Business Machines Corporation
  • Kyndryl Inc.
  • Microsoft Corporation
  • NEC Corporation
  • NVIDIA Corporation
  • Optimizely by Episerver
  • Oracle Corporation
  • Salesforce, Inc
  • SAP SE
  • Siemens AG
  • Simplify360 Inc.

Table Information