Artificial Intelligence (AI) Based Personalization

Global Artificial Intelligence (AI) Based Personalization Market to Reach US$9.0 Billion by 2030

The global market for Artificial Intelligence (AI) Based Personalization estimated at US$2.9 Billion in the year 2024, is expected to reach US$9.0 Billion by 2030, growing at a CAGR of 20.8% over the analysis period 2024-2030. Website Personalization, one of the segments analyzed in the report, is expected to record a 23.0% CAGR and reach US$4.1 Billion by the end of the analysis period. Growth in the Display Ads Personalization segment is estimated at 19.3% CAGR over the analysis period.

The U.S. Market is Estimated at US$788.2 Million While China is Forecast to Grow at 19.1% CAGR

The Artificial Intelligence (AI) Based Personalization market in the U.S. is estimated at US$788.2 Million in the year 2024. China, the world`s second largest economy, is forecast to reach a projected market size of US$1.3 Billion by the year 2030 trailing a CAGR of 19.1% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 19.2% and 17.5% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 14.6% CAGR.

Global Artificial Intelligence (AI) Based Personalization Market – Key Trends & Drivers Summarized

The Power of AI-Based Personalization Across Industries

AI-based personalization is redefining how companies engage with customers, users, and even employees by delivering experiences that are context-aware, hyper-targeted, and dynamically adaptive. At the heart of this transformation is the ability of artificial intelligence to process vast volumes of behavioral, transactional, and contextual data in real time, enabling systems to tailor content, services, and product recommendations at an individual level. What began as a marketing tactic in e-commerce and streaming platforms has now evolved into a full-fledged business strategy across industries such as finance, healthcare, education, retail, and media. The rise of omnichannel engagement, coupled with growing customer expectations for relevance and convenience, is driving the expansion of AI-based personalization solutions across digital touchpoints.

A major trend propelling the market is the integration of machine learning algorithms with customer data platforms (CDPs), which unify data from various sources to create a centralized user profile. These AI models can predict user intent, segment audiences, and optimize experience flows in real time—improving conversion rates, retention, and satisfaction. Another key trend is the emergence of real-time adaptive personalization, where systems adjust messaging, layouts, or content dynamically based on user behavior, location, device, and even emotional cues. Companies are also deploying personalization engines powered by deep learning and natural language processing (NLP) to personalize search results, automate content generation, and craft individualized marketing messages at scale.

How Is AI Enabling Hyper-Personalized Customer Journeys?

AI is revolutionizing customer journeys by enabling continuous personalization that evolves with user preferences, feedback, and behavioral signals. Unlike rule-based personalization, which relies on predefined triggers or segments, AI-based systems learn from user interactions over time to deliver increasingly precise and relevant experiences. In e-commerce, for instance, AI tracks browsing behavior, purchase history, and click patterns to recommend products uniquely suited to each customer’s taste and needs. Personalized pricing, cart abandonment interventions, and dynamic bundling are now commonly driven by AI models that anticipate customer actions before they occur.

In digital media and entertainment, AI curates personalized playlists, viewing queues, and content recommendations that align with user sentiment, engagement history, and genre preferences. In banking and financial services, AI delivers personalized financial advice, tailored product offerings, and predictive alerts—such as budget reminders or investment opportunities—based on transaction data and life events. AI also powers personalization in travel and hospitality, adjusting offers and itineraries based on user profiles, past bookings, and even weather patterns. These capabilities ensure that every customer interaction feels timely, relevant, and value-driven, strengthening loyalty and enhancing lifetime value.

Where Else Is AI-Based Personalization Making Strategic Impact?

Beyond consumer-facing industries, AI-based personalization is gaining ground in enterprise applications and public services. In healthcare, AI is being used to personalize treatment plans, medication schedules, and wellness recommendations based on patient history, genomics, and lifestyle data. Virtual health assistants and telemedicine platforms are leveraging AI to deliver customized patient education and self-care support. In education, adaptive learning systems use AI to tailor content delivery and assessment pathways to each student’s pace, strengths, and learning style—improving engagement and outcomes across age groups and learning environments.

In human resources and workforce management, AI is enabling personalized learning and development programs, recommending upskilling opportunities, and aligning individual career goals with organizational objectives. Enterprise software platforms are incorporating AI-driven personalization into dashboards, user interfaces, and workflow automations to improve productivity and employee satisfaction. Even smart cities and public administrations are deploying AI-based personalization to deliver citizen-centric services, from customized transportation updates to personalized civic engagement platforms. These cross-sector applications reflect a broader shift toward data-driven personalization as a core strategy for enhancing efficiency, satisfaction, and systemic responsiveness.

What’s Fueling the Growth in the AI-Based Personalization Market?

The growth in the AI-based personalization market is driven by several factors rooted in technological innovation, user behavior evolution, and increasing pressure for customer-centric engagement models. One of the most significant drivers is the exponential growth of user data from digital interactions, mobile usage, and connected devices—providing the raw material for AI models to analyze and act upon. The advancement of machine learning, particularly deep learning and reinforcement learning, has enabled systems to continuously learn and improve personalization accuracy without constant human intervention.

The expansion of omnichannel ecosystems is also a key enabler, requiring brands to maintain continuity in user experience across web, mobile, email, social, and physical channels. AI-based personalization tools are being deployed to stitch together these experiences and maintain context as users move across platforms. Cloud computing and scalable AI infrastructure have further lowered the barrier to entry, allowing organizations of all sizes to implement advanced personalization strategies without building complex internal systems. Moreover, the proliferation of plug-and-play personalization engines, API-based integrations, and no-code AI tools is accelerating enterprise adoption across industries.

Additionally, the demand for real-time decisioning in customer interactions is pushing the development of personalization systems that can respond to behavioral changes and contextual shifts in milliseconds. Regulatory emphasis on transparency, data privacy, and consent—particularly under frameworks like GDPR and CCPA—is prompting companies to adopt AI solutions with built-in ethical and compliance mechanisms. Finally, the competitive imperative to differentiate through customer experience is driving enterprises to invest in AI as a strategic lever, embedding personalization not just in marketing, but across the entire customer and employee journey. These converging factors are establishing AI-based personalization as a key growth engine in the digital economy.

SCOPE OF STUDY:

The report analyzes the Artificial Intelligence (AI) Based Personalization market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:
Application (Website Personalization, Display Ads Personalization, Social Media Personalization, eMail Personalization, Other Applications)

Geographic Regions/Countries:
World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.

Select Competitors (Total 23 Featured) -

• Accenture PLC
• Acquia, Inc.
• Algonomy Software Private Limited
• Amazon Web Services, Inc.
• Bloomreach
• Frosmo
• Oracle Corporation
• Verint Systems, Inc.
• ZS Associates, Inc.

TARIFF IMPACT FACTOR

Our new release incorporates impact of tariffs CBob geographical markets as we predict a shift in competitiveness of companies based on HQ country, manufacturing base, exports and imports (finished goods and OEM). This intricate and multifaceted market reality will impact competitors by artificially increasing the COGS, reducing profitability, reconfiguring supply chains, amongst other micro and macro market dynamics.

We are diligently following expert opinions of leading Chief Economists (14,949), Think Tanks (62), Trade & Industry bodies (171) worldwide, as they assess impact and address new market realities for their ecosystems. Experts and economists from every major country are tracked for their opinions on tariffs and how they will impact their countries.

We expect this chaos to play out over the next 2-3 months and a new world order is established with more clarity. We are tracking these developments on a real time basis.

As we release this report, U.S. Trade Representatives are pushing their counterparts in 183 countries for an early closure to bilateral tariff negotiations. Most of the major trading partners also have initiated trade agreements with other key trading nations, outside of those in the works with the United States. We are tracking such secondary fallouts as supply chains shift.

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APRIL 2025: NEGOTIATION PHASE

Our April release addresses the impact of tariffs on the overall global market and presents market adjustments by geography. Our trajectories are based on historic data and evolving market impacting factors.

JULY 2025 FINAL TARIFF RESET

Complimentary Update: Our clients will also receive a complimentary update in July after a final reset is announced between nations. The final updated version incorporates clearly defined Tariff Impact Analyses.

Reciprocal and Bilateral Trade & Tariff Impact Analyses:

USA
CHINA
MEXICO
CANADA
EU
JAPAN
INDIA
176 OTHER COUNTRIES.

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