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Artificial Intelligence (AI) Based Personalization Market Size And Revenue Outlook Through 2030
The artificial intelligence (AI) based personalization market has demonstrated steady expansion in recent years. This market is set to expand from $520.74 billion in 2025 to $545.79 billion in 2026, growing at a compound annual growth rate (CAGR) of 4.8%. The historical growth experienced by this market can be attributed to factors such as the increasing adoption of e-commerce platforms, a heightened consumer demand for personalized experiences, the rise in social media usage, ongoing improvements in machine learning algorithms, and the readily available customer behavioral data.
The artificial intelligence (AI) based personalization market is expected to show steady expansion in the coming years. It will grow to $661.21 billion in 2030 at a compound annual growth rate (CAGR) of 4.9%. This projected growth during the forecast period is fueled by advancements in AI and NLP technologies, the integration of personalization with IoT devices, an increasing demand for real-time personalization, the expansion of digital marketing strategies, and the adoption of immersive AR/VR experiences. Key trends identified for the forecast period encompass personalized user journey optimization, predictive behavior analytics, contextual content delivery, real-time customer engagement, and adaptive recommendation engines.
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Artificial Intelligence (AI) Based Personalization Market Growth Drivers: What’s Behind The Acceleration?
The increasing corporate emphasis on artificial intelligence (AI) is anticipated to propel the expansion of the AI based personalization market going forward. Artificial intelligence refers to computer systems that perform tasks typically requiring human intelligence by leveraging algorithms and data. This heightened business focus on AI stems from organizations seeking deeper insights, real time decision making, and personalized customer interactions. AI based personalization supports this objective by enabling businesses to deliver tailored, engaging experiences through adaptive algorithms, real time data processing, and end to end customer journey insights. For instance, in January 2024, according to IBM, a U.S.-based technology company, approximately 42% of enterprise-scale companies (over 1,000 employees) reported they had actively deployed AI in their business, while an additional 40% were actively exploring AI. Consequently, the growing business focus on artificial intelligence is driving the growth of the AI based personalization market.
Artificial Intelligence (AI) Based Personalization Market Segment Outlook: Which Categories Are Growing Fastest?
The artificial intelligence (AI) based personalization market covered in this report is segmented –
1) By Type: Website Personalization, Display Ads Personalization, Social Media Personalization, E-Mail Personalization
2) By Technology: Machine Learning And Deep Learning, Natural Language Processing, Other Technologies
3) By Application: Travel, Retail, Media And Entertainment, Other Applications
Subsegments:
1) By Website Personalization: Content Customization, Product Recommendations, User Interface (UI) Personalization, Personalized Search Results, Dynamic Landing Pages
2) By Display Ads Personalization: Behavioral Targeting, Contextual Advertising, Dynamic Creative Optimization (DCO), Retargeting and Remarketing
3) By Social Media Personalization: Personalized Content Feeds, AI-Driven Ad Targeting, Influencer and Content Recommendation, Audience Segmentation and Look-Alike Modeling
4) By E-Mail Personalization: Personalized Subject Lines, Personalized Email Content, Product Recommendations in Emails, Send-Time Optimization
Artificial Intelligence (AI) Based Personalization Market Trends: What’s Defining The Industry’s Next Phase?
Leading companies in the Artificial Intelligence (AI) Based Personalization market are prioritizing sophisticated solutions, such as generative personalization engines, to provide more relevant content, boost engagement, and customize experiences based on individual customer behavior. Generative personalization engines are AI-powered platforms that merge unified customer memory with multi-agent decision-making, allowing for dynamic content generation, automated recommendations, and instant personalization across various digital interfaces. For example, in September 2025, Personize GPE, a Vancouver-based sales and marketing software company, introduced its Generative Personalization Engine (GPE), which is built directly into the HubSpot CRM platform. The solution integrates CortexUCM™, consolidating all sales, marketing, and customer experience interactions into a single customer memory, alongside an AI ContentProducer for generating SEO-optimized personalized blog posts and landing pages, and AI Studio, which facilitates the no-code deployment of AI agents to automate complex personalization workflows.
Artificial Intelligence (AI) Based Personalization Market Leading Companies And Competitive Benchmarking
Major companies operating in the artificial intelligence (AI) based personalization market are Amazon.com Inc.; Apple Inc.; Alphabet Inc. (Google); Microsoft Corp.; Meta Platforms Inc.; Accenture Plc; International Business Machines Corp. (IBM); Oracle Corporation; SAP SE; Salesforce.com Inc.; Adobe Systems Inc.; Twilio; Verint Systems Inc.; Bounteous Inc.; BloomReach Inc.; Sitecore Holding II AS; RichRelevance; Coveo; Crownpeak Technology Inc.; Dynamic Yield Ltd.; Blueshift Labs Inc.; Reflektion; mParticle Inc.; ViSenze Pte. Ltd.; H2O.AI Inc.; Infinite Analytics Inc
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Artificial Intelligence (AI) Based Personalization Market Geographic Analysis: Where Is Demand Rising Fastest?
North America was the largest region in the artificial intelligence (AI) based personalization market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) based personalization market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
