The artificial intelligence (AI) based personalization market size is expected to see steady growth in the next few years. It will grow to $661.21 billion in 2030 at a compound annual growth rate (CAGR) of 4.9%. The growth in the forecast period can be attributed to advancements in AI and nlp technologies, integration of personalization with iot devices, increasing demand for real-time personalization, expansion of digital marketing strategies, adoption of immersive ar/vr experiences. Major trends in the forecast period include personalized user journey optimization, predictive behavior analytics, contextual content delivery, real-time customer engagement, adaptive recommendation engines.
The growing business focus on artificial intelligence (AI) is expected to propel the growth 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. The rising business focus on AI is driven by organizations seeking deeper insights, real-time decision-making, and personalized customer interactions. AI-based personalization supports this focus 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, about 42% of enterprise-scale companies (over 1,000 employees) reported actively deploying AI in their business, while an additional 40% were actively exploring AI. Therefore, the increasing business emphasis on artificial intelligence is driving the growth of the AI-based personalization market.
Major companies operating in the artificial intelligence (AI)-based personalization market are focusing on advanced solutions such as generative personalization engines to deliver more relevant content, optimize engagement, and tailor experiences based on individual customer behavior. Generative personalization engines refer to AI-driven platforms that combine unified customer memory with multi-agent decision-making, enabling dynamic content creation, automated recommendations, and real-time personalization across digital touchpoints. For instance, in September 2025, Personize GPE, a Vancouver-based sales and marketing software company, launched its Generative Personalization Engine (GPE) built natively within the HubSpot CRM platform. The solution integrates CortexUCM™, which consolidates all sales, marketing, and customer experience interactions into a single customer memory, an AI ContentProducer that generates SEO-optimized personalized blog posts and landing pages, and AI Studio, enabling no-code deployment of AI agents to automate complex personalization workflows.
In August 2024, Advanced Micro Devices, Inc. (AMD), a US-based semiconductor company, acquired Silo AI for approximately US $665 million. Through this acquisition, AMD aims to accelerate its end-to-end AI solutions strategy by integrating Silo AI’s expertise in AI model training, open-source large language models, and enterprise AI deployments across cloud, embedded, and endpoint markets. Silo AI is a Finland-based private AI lab specializing in AI research, development, and enterprise model implementation.
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.
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. The countries covered in the artificial intelligence (AI) based personalization market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Tariffs have influenced the AI-based personalization market by affecting the cost and availability of high-performance computing hardware, cloud infrastructure components, and AI software services. The impact has been particularly pronounced in North America, Europe, and Asia-Pacific regions where major data centers and AI development hubs are located. Segments such as machine learning and deep learning technologies, as well as cloud-based personalization solutions, face increased operational costs due to import duties and supply chain constraints. However, tariffs have also incentivized some companies to localize production, optimize resource utilization, and innovate more cost-efficient personalization solutions, which may create long-term competitive advantages.
The artificial intelligence (AI) based personalization market research report is one of a series of new reports that provides artificial intelligence (AI) based personalization market statistics, including artificial intelligence (AI) based personalization industry global market size, regional shares, competitors with a artificial intelligence (AI) based personalization market share, detailed artificial intelligence (AI) based personalization market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) based personalization industry. This artificial intelligence (AI) based personalization market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
Artificial intelligence (AI)-based personalization utilizes AI technologies and algorithms to customize content, services, or experiences for individual users, aiming to deliver more personalized and relevant interactions based on their specific preferences, behaviors, and characteristics.
The primary categories of AI-based personalization include website personalization, display ad personalization, social media personalization, and e-mail personalization. Website personalization focuses on adjusting the content, layout, and user experience of a website in real-time, leveraging AI to analyze user data such as browsing history and interactions. These technologies encompass machine learning, deep learning, natural language processing, and others, applied across various sectors such as travel, retail, media, entertainment, and more.
The artificial intelligence (AI)-based personalization market includes revenues earned by entities by providing services such as tailored content, predictive personalization, and real-time analytics. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included. The artificial intelligence (AI)-based personalization market consists of sales of smart speakers, smart displays, wearables, and smart mirrors. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
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Table of Contents
Executive Summary
Artificial Intelligence (AI) Based Personalization Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses artificial intelligence (AI) based personalization market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for artificial intelligence (AI) based personalization? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence (AI) based personalization market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Report Scope
Markets Covered:
1) By Type: Website Personalization; Display Ads Personalization; Social Media Personalization; E-Mail Personalization2) 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 Pages2) 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
Companies Mentioned: 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
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits:
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
The companies featured in this AI Based Personalization market report include:- 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
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | February 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 545.79 Billion |
| Forecasted Market Value ( USD | $ 661.21 Billion |
| Compound Annual Growth Rate | 4.9% |
| Regions Covered | Global |
| No. of Companies Mentioned | 27 |


