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US Artificial Intelligence Based Personalization Market

ID: MRFR/ICT/57390-HCR
200 Pages
Aarti Dhapte
February 2026

US Artificial Intelligence-Based Personalization Market Research Report By Type (Website Personalization, Display Ads Personalization, Social Media Personalization, E-Mail Personalization, Others), By Technology (Machine Learning, Deep Learning, Natural Language Processing), and By Application (Travel, Retail, Media & Entertainment, Others) - Forecast to 2035

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US Artificial Intelligence Based Personalization Market Summary

As per Market Research Future analysis, the US artificial intelligence-based-personalization market Size was estimated at 108.92 USD Billion in 2024. The US artificial intelligence-based-personalization market is projected to grow from 114.15 USD Billion in 2025 to 182.46 USD Billion by 2035, exhibiting a compound annual growth rate (CAGR) of 4% during the forecast period 2025 - 2035

Key Market Trends & Highlights

The US artificial intelligence-based personalization market is experiencing robust growth driven by technological advancements and evolving consumer expectations.

  • The market is witnessing increased adoption of AI technologies across various sectors, enhancing personalization efforts.
  • A strong focus on data privacy and ethics is shaping the development and deployment of AI solutions.
  • Integration of AI in customer experience is becoming a critical strategy for businesses aiming to improve engagement and satisfaction.
  • Rising demand for personalized experiences and advancements in machine learning algorithms are key drivers propelling market growth.

Market Size & Forecast

2024 Market Size 108.92 (USD Billion)
2035 Market Size 182.46 (USD Billion)
CAGR (2025 - 2035) 4.8%

Major Players

Amazon (US), Google (US), Microsoft (US), IBM (US), Salesforce (US), Adobe (US), SAP (DE), Oracle (US), Alibaba (CN)

Our Impact
Enabled $4.3B Revenue Impact for Fortune 500 and Leading Multinationals
Partnering with 2000+ Global Organizations Each Year
30K+ Citations by Top-Tier Firms in the Industry

US Artificial Intelligence Based Personalization Market Trends

the artificial intelligence-based personalization market is experiencing a transformative phase, driven by advancements in machine learning and data analytics. Companies are increasingly leveraging AI technologies to tailor experiences for consumers, enhancing engagement and satisfaction. This trend is evident across various sectors, including e-commerce, entertainment, and digital marketing, where personalized recommendations and targeted advertising are becoming the norm. As organizations recognize the value of individualized interactions, investments in AI-driven solutions are likely to grow, fostering innovation and competition. Moreover, the integration of AI into customer relationship management systems is reshaping how businesses interact with their clientele. By utilizing predictive analytics, firms can anticipate customer needs and preferences, thereby optimizing their offerings. This shift not only improves customer retention but also drives sales growth. As the landscape evolves, regulatory considerations surrounding data privacy and ethical AI usage are emerging as critical factors that could influence the trajectory of the artificial intelligence-based-personalization market. Stakeholders must navigate these complexities to harness the full potential of AI technologies while ensuring compliance with evolving standards.

Increased Adoption of AI Technologies

Organizations are increasingly adopting AI technologies to enhance personalization efforts. This trend is driven by the need for businesses to differentiate themselves in a competitive landscape. By utilizing machine learning algorithms, companies can analyze vast amounts of data to deliver tailored experiences that resonate with individual consumers.

Focus on Data Privacy and Ethics

As the artificial intelligence-based-personalization market expands, there is a growing emphasis on data privacy and ethical considerations. Companies are prioritizing transparency in their data usage practices, ensuring that consumer information is handled responsibly. This focus is likely to shape the development of AI solutions and influence consumer trust.

Integration of AI in Customer Experience

The integration of AI into customer experience strategies is becoming increasingly prevalent. Businesses are leveraging AI to create seamless interactions across various touchpoints, enhancing user satisfaction. This trend suggests a shift towards more intuitive and responsive customer service models, driven by real-time data analysis.

US Artificial Intelligence Based Personalization Market Drivers

Increased Investment in AI Startups

The artificial intelligence-based-personalization market is witnessing a surge in investment directed towards AI startups. Venture capital funding for AI-related companies has reached unprecedented levels, with estimates suggesting that investments could exceed $50 billion in 2025. This influx of capital is fostering innovation and the development of new AI-driven personalization tools. As startups introduce novel solutions that enhance customer engagement and satisfaction, established companies are likely to adopt these technologies to remain competitive. Consequently, the growth of AI startups is expected to play a pivotal role in shaping the future landscape of the artificial intelligence-based-personalization market.

Growing Importance of Customer Insights

The artificial intelligence-based-personalization market is increasingly driven by the growing importance of customer insights. Businesses are recognizing that understanding consumer behavior is crucial for effective marketing strategies. By utilizing AI to analyze customer data, companies can gain valuable insights into preferences and trends. This data-driven approach allows for more targeted marketing efforts, which can lead to higher conversion rates. In fact, studies indicate that businesses leveraging customer insights through AI can see an increase in sales by up to 20%. As organizations prioritize data analytics, the artificial intelligence-based-personalization market is likely to expand, as companies seek to harness the power of insights for competitive advantage.

Rising Demand for Personalized Experiences

the artificial intelligence-based personalization market is seeing a surge in demand for tailored customer experiences.. As consumers increasingly seek products and services that resonate with their individual preferences, businesses are compelled to adopt AI-driven solutions. According to recent data, approximately 80% of consumers are more likely to make a purchase when brands offer personalized experiences. This trend is particularly pronounced in sectors such as e-commerce and digital marketing, where companies leverage AI algorithms to analyze consumer behavior and preferences. The ability to deliver customized recommendations not only enhances customer satisfaction but also drives sales growth, thereby propelling the artificial intelligence-based-personalization market forward.

Advancements in Machine Learning Algorithms

The artificial intelligence-based-personalization market is significantly influenced by advancements in machine learning algorithms. These innovations enable businesses to process vast amounts of data more efficiently, leading to improved personalization strategies. For instance, deep learning techniques allow for more accurate predictions of consumer behavior, which can enhance the effectiveness of marketing campaigns. As of 2025, the market for machine learning in the US is projected to reach $8 billion, indicating a robust investment in technologies that support personalization. This growth in machine learning capabilities is likely to drive the artificial intelligence-based-personalization market, as companies increasingly rely on sophisticated algorithms to tailor their offerings.

Regulatory Compliance and Ethical Considerations

The artificial intelligence-based-personalization market is also influenced by regulatory compliance and ethical considerations surrounding data usage. As consumers become more aware of privacy issues, businesses must navigate a complex landscape of regulations to ensure responsible AI deployment. Compliance with laws such as the California Consumer Privacy Act (CCPA) is essential for companies aiming to build trust with their customers. This focus on ethical AI practices not only mitigates risks but also enhances brand reputation. As organizations strive to align their personalization strategies with ethical standards, the artificial intelligence-based-personalization market is likely to evolve, reflecting a commitment to responsible data usage.

Market Segment Insights

By Type: Website Personalization (Largest) vs. E-mail Personalization (Fastest-Growing)

In the US artificial intelligence-based-personalization market, the distribution among different types reveals that Website Personalization holds the largest share, reflecting its essential role in enhancing user experience and driving engagement. Display Ads Personalization and Social Media Personalization also contribute significantly, but E-mail Personalization is rapidly gaining traction among businesses focusing on direct customer interactions. Other personalization methods are gradually filling niche requirements in the market. Growth trends show that E-mail Personalization is becoming the fastest-growing segment due to its efficiency in targeting and delivering personalized content directly to consumers. The rise in automation technologies and data-driven marketing strategies are driving significant investments in personalization methods. Moreover, increasing consumer expectation for tailored experiences stimulates demand for varied personalization services, thus fueling the overall market growth in this sector.

Website Personalization: Dominant vs. E-mail Personalization: Emerging

Website Personalization is recognized as the dominant force in the US artificial intelligence-based-personalization market. It leverages user data to deliver tailored experiences, driving engagement and conversion rates effectively. Businesses implement various algorithms and data analytics to optimize user interactions, which enhances overall satisfaction. In contrast, E-mail Personalization is emerging as a powerful tool for direct communication, enabling brands to send highly relevant content to customers. This method utilizes customer insights to increase open rates and foster customer loyalty. As companies increasingly integrate these personalized approaches, it is evident that both Website and E-mail Personalization will play pivotal roles in shaping how businesses engage with their audiences.

By Technology: Machine Learning (Largest) vs. Deep Learning (Fastest-Growing)

In the US artificial intelligence-based-personalization market, Machine Learning holds a significant market share, capturing the largest portion among the segment values. Its ability to analyze vast data sets and predict user behaviors positions it as a key player in personalized experiences. Deep Learning follows closely with its advanced capabilities in processing unstructured data, making it crucial for enhancing personalization strategies. Natural Language Processing, while smaller, plays an essential role in enabling machines to understand and respond to human language, driving user engagement and experience. Growth trends indicate that the Machine Learning segment continues to dominate, but Deep Learning is rapidly emerging as the fastest-growing area due to advancements in neural networks and AI technologies. The demand for more sophisticated and accurate personalization solutions is pushing companies to invest heavily in these technologies. Natural Language Processing benefits from the increasing reliance on chatbots and virtual assistants, catering to the demand for interactive user experiences. As technology evolves, these segments are expected to see dynamic growth, shaping the future of personalization.

Technology: Machine Learning (Dominant) vs. Deep Learning (Emerging)

Machine Learning remains the dominant force in the US artificial intelligence-based-personalization market, known for its robust frameworks that enhance predictive analytics and customer targeting. Brands leverage its capabilities to deliver tailored recommendations, significantly improving customer satisfaction and loyalty. In contrast, Deep Learning, while still emerging, is rapidly gaining traction due to its ability to process complex datasets and recognize patterns at a scale that Machine Learning may not achieve. The introduction of innovative algorithms and increased computational power amplifies Deep Learning's capabilities, especially in processing multimedia data. As companies prioritize personalization, both segments will play pivotal roles, with Machine Learning leading in broad applications while Deep Learning carves out specific niches for high-impact solutions.

By Application: Retail (Largest) vs. Travel (Fastest-Growing)

In the US artificial intelligence-based-personalization market, the distribution of market share among various applications is quite distinct. Retail dominates the landscape, garnering the largest share due to the extensive demand for personalized shopping experiences driven by consumer behavior analytics. Travel, while currently smaller, is sensing momentum as firms increasingly utilize AI to tailor travel recommendations and optimize customer interactions, bridging the gap in market presence. Over the next few years, the growth trends for these applications are indicative of shifting consumer expectations. The retail sector is leveraging AI to enhance customer satisfaction through personalized promotions and recommendations, solidifying its dominant position. In contrast, the travel sector is emerging rapidly, driven by increased reliance on technology for user-friendly booking experiences and customized travel planning, positioning it as the fastest-growing area within the market.

Retail: Dominant vs. Travel: Emerging

The retail application within the US artificial intelligence-based-personalization market exhibits strong characteristics as the dominant force, reflecting its seamless integration of AI technologies to personalize customer experiences. Retailers employ data analytics and machine learning algorithms to predict consumer behavior, leading to customized recommendations and targeted advertisements. This strategic approach enhances customer loyalty and promotes higher sales conversions. On the other hand, the travel segment is classified as emerging, actively adopting AI to redefine customer interactions. Companies focus on harnessing AI for personalized travel suggestions, dynamic pricing models, and efficient customer service solutions. The growing reliance on digital platforms and mobile applications is catalyzing the travel sector's rapid growth, attracting investments in AI solutions and broadening its market appeal.

Get more detailed insights about US Artificial Intelligence Based Personalization Market

Key Players and Competitive Insights

The artificial intelligence-based-personalization market is currently characterized by intense competition and rapid innovation, driven by the increasing demand for tailored customer experiences across various sectors. Major players such as Amazon (US), Google (US), and Microsoft (US) are at the forefront, leveraging their technological prowess to enhance personalization capabilities. Amazon (US) focuses on integrating AI into its e-commerce platform, aiming to refine product recommendations and improve customer engagement. Google (US), on the other hand, emphasizes its advertising solutions, utilizing AI to deliver more relevant ads based on user behavior. Microsoft (US) is strategically positioning itself through its Azure cloud services, which support businesses in deploying AI-driven personalization tools, thereby enhancing their operational efficiency and customer satisfaction.The market structure appears moderately fragmented, with a mix of established giants and emerging startups. Key players are adopting various business tactics, such as localizing their services to cater to regional preferences and optimizing their supply chains to ensure timely delivery of personalized solutions. This collective approach not only enhances customer satisfaction but also strengthens their competitive positioning in the market.

In October Amazon (US) announced the launch of its new AI-driven recommendation engine, which utilizes advanced machine learning algorithms to analyze customer data more effectively. This strategic move is likely to enhance user experience by providing more accurate product suggestions, thereby increasing conversion rates and customer loyalty. The introduction of this technology underscores Amazon's commitment to maintaining its leadership in the e-commerce sector through continuous innovation.

In September Google (US) unveiled a significant update to its AI-based advertising platform, incorporating deeper machine learning capabilities to improve ad targeting. This enhancement is expected to allow advertisers to reach their desired audiences more effectively, potentially increasing ad performance by up to 30%. Such advancements not only solidify Google's dominance in the digital advertising space but also reflect the growing importance of AI in driving marketing strategies.

In August Microsoft (US) expanded its partnership with Salesforce (US) to integrate AI-driven insights into customer relationship management (CRM) systems. This collaboration aims to provide businesses with enhanced tools for understanding customer preferences and behaviors, thereby facilitating more personalized interactions. The strategic alliance highlights the trend of companies leveraging partnerships to enhance their technological offerings and improve customer engagement.

As of November the competitive landscape is increasingly shaped by trends such as digitalization, sustainability, and the integration of AI technologies. Strategic alliances among key players are becoming more prevalent, fostering innovation and enhancing service delivery. The shift from price-based competition to a focus on technological advancement and supply chain reliability is evident, suggesting that future differentiation will hinge on the ability to innovate and adapt to changing consumer expectations.

Key Companies in the US Artificial Intelligence Based Personalization Market include

Industry Developments

Amazon Q, a generative AI assistant created by Amazon Web Services to improve workplace productivity by providing individualised insights and decision help, was introduced in November 2023. Google Cloud's AI-powered personalisation capabilities, such as a generative chatbot designed to enhance interactions on shop websites and applications, were unveiled in January 2024.

Oracle launched Oracle Cloud Infrastructure Generative AI services that same month, allowing businesses to produce context-sensitive marketing and customer support content. Salesforce enhanced its AI-powered personalisation features in its CRM platform in early 2024 as well, providing improvements to marketing and customer interaction tactics.

Microsoft Advertising recently introduced immersive "Showroom Ads" and AI-powered dynamic ad generation in June 2025, indicating a move towards more interactive and real-time personalisation experiences.

Additionally, on June 20, 2025, Applebee's and IHOP, two Dine Brands restaurants, revealed intentions to implement an AI-powered personalisation engine to customise specials and recommendations based on past client purchases.

This is a strategic use of personalisation in the hospitality industry. These advancements demonstrate the quick uptake of AI personalisation in the U.S. market across cloud providers, CRM platforms, advertising networks, and hospitality chains.

Future Outlook

US Artificial Intelligence Based Personalization Market Future Outlook

The Artificial Intelligence based Personalization Market is projected to grow at a 4.8% CAGR from 2025 to 2035, driven by advancements in machine learning, data analytics, and consumer demand for tailored experiences.

New opportunities lie in:

  • Development of AI-driven customer segmentation tools for targeted marketing campaigns.
  • Integration of personalization algorithms in e-commerce platforms to enhance user experience.
  • Creation of subscription-based models for personalized content delivery services.

By 2035, the market is expected to achieve substantial growth, reflecting evolving consumer preferences and technological advancements.

Market Segmentation

US Artificial Intelligence Based Personalization Market Type Outlook

  • Website Personalization
  • Display Ads Personalization
  • Social Media Personalization
  • E-mail Personalization
  • Others

US Artificial Intelligence Based Personalization Market Technology Outlook

  • Machine Learning
  • Deep Learning
  • Natural Language Processing

US Artificial Intelligence Based Personalization Market Application Outlook

  • Travel
  • Retail
  • Media & Entertainment
  • Others

Report Scope

MARKET SIZE 2024 108.92(USD Billion)
MARKET SIZE 2025 114.15(USD Billion)
MARKET SIZE 2035 182.46(USD Billion)
COMPOUND ANNUAL GROWTH RATE (CAGR) 4.8% (2025 - 2035)
REPORT COVERAGE Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
BASE YEAR 2024
Market Forecast Period 2025 - 2035
Historical Data 2019 - 2024
Market Forecast Units USD Billion
Key Companies Profiled Amazon (US), Google (US), Microsoft (US), IBM (US), Salesforce (US), Adobe (US), SAP (DE), Oracle (US), Alibaba (CN)
Segments Covered Type, Technology, Application
Key Market Opportunities Integration of advanced machine learning algorithms enhances user engagement in the artificial intelligence-based-personalization market.
Key Market Dynamics Rising consumer demand for tailored experiences drives innovation in artificial intelligence-based personalization solutions.
Countries Covered US
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FAQs

What was the market size of the US Artificial Intelligence-Based Personalization Market in 2024?

The US Artificial Intelligence-Based Personalization Market was valued at 120.0 USD Billion in 2024.

What will be the market value of the US Artificial Intelligence-Based Personalization Market by 2035?

By 2035, the US Artificial Intelligence-Based Personalization Market is projected to reach a value of 210.0 USD Billion.

What is the expected compound annual growth rate (CAGR) for the US Artificial Intelligence-Based Personalization Market from 2025 to 2035?

The market is expected to grow at a CAGR of 5.219% from 2025 to 2035.

Which type of personalization is expected to dominate the market in 2024 and 2035?

Website personalization is anticipated to dominate, valued at 30.0 USD Billion in 2024 and 54.0 USD Billion in 2035.

What was the valuation for display ads personalization in the US Artificial Intelligence-Based Personalization Market for 2024?

Display ads personalization was valued at 25.0 USD Billion in the year 2024.

How much is the social media personalization market expected to be worth in 2035?

The social media personalization segment is expected to reach 36.0 USD Billion in 2035.

What are the key players in the US Artificial Intelligence-Based Personalization Market?

Major players in the market include Microsoft, Shopify, Demandbase, Alibaba, Nvidia, Adobe, Salesforce, Amazon, Criteo, Oracle, IBM, and Google.

What was the market value for email personalization in 2024?

Email personalization was valued at 15.0 USD Billion in 2024.

What opportunities exist in the US Artificial Intelligence-Based Personalization Market from 2025 to 2035?

There are opportunities for growth driven by increasing demand for tailored consumer experiences.

How much is the 'others' category expected to be valued in the US Artificial Intelligence-Based Personalization Market by 2035?

The 'others' category is projected to reach 48.0 USD Billion by 2035.

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