Generative AI in Marketing Market (2025 - 2033) Size, Share & Trends Analysis Report By Component (Service, Software), By System Type (Text Models, Multimodal Models), By Application (Content Generation, Reporting & Analytics), By End-use (BFSI, Healthcare, Media & Entertainment), By Region, And Segment Forecasts

Generative AI In Marketing Market Summary

The global generative AI in marketing market size was estimated at USD 1.56 billion in 2024 and is projected to reach USD 22.02 billion by 2033, growing at a CAGR of 35.1% from 2025 to 2033. Due to the growing demand for effective customer service, generative AI is used to develop smart chatbots capable of handling difficult inquiries.

These AI-powered chatbots use natural language processing to give real-time support, improving consumer experiences and decreasing response times. Companies may provide round-the-clock assistance, increasing client satisfaction and loyalty.

Owing to the growing demand for personalized experiences, generative AI can form personalized content individually for each customer, such as email messages, landing pages, and product recommendations. Marketing professionals may use this to increase engagement and enhance the relevancy of their marketing communications. For instance, a clothing retailer may utilize generative AI to develop personalized product suggestions for each consumer based on their previous purchases, browsing history, and social media activity. It would assist the brand in ensuring that customers only see relevant goods, increasing sales.

Due to the increasing demand for richer and more captivating interactions, generative AI has the potential to generate augmented reality (AR) encounters, which are interactive occurrences that superimpose digital elements onto real surroundings. AR can enrich the user encounter in diverse ways, aiding users in visualizing items, gaining knowledge about merchandise, and experimenting with products. For instance, an enterprise specializing in furniture might employ AR to show customers how a furniture piece would fit within their living space. It would ultimately empower customers to arrive at more informed purchasing decisions.

Component Insights

The software segment dominated the market in 2024 with a revenue share of 65.5%. One of the key marketing trends in the generative AI software industry is automated content production geared for multichannel campaigns. AI-powered systems are intended to produce consistent and compelling content across several channels, such as social media, emails, and websites. This trend saves marketers time and assures a consistent brand message, allowing for effective contact with audiences across several channels. The generated material may be tailored to the specific needs of each channel, increasing engagement and impact.

The service segment is estimated to register the highest CAGR over the forecast period. Innovative conversational chatbot platforms that use generative AI and natural language processing to support real-time interactions with clients are being developed in the software component. On the services front, suppliers are offering chatbot design and training services to guarantee that these AI-powered systems match the voice of a company and the demands of its customers. This trend enhances client experiences by providing human-like conversations, supplemented by professional services that boost the chatbot's performance.

System Type Insights

The text models segment dominated the market in 2024. Developing advanced Natural Language Generation (NLG) systems for content creation is an emerging trend within the generative AI market's text model segment. NLG models are becoming increasingly sophisticated and capable of producing well-crafted written content, including articles, product descriptions, and social media posts. This trend empowers marketers to generate diverse content efficiently, saving time and resources while maintaining a consistent message across multiple platforms. With the evolution of NLG systems, they are poised to become a crucial asset for content marketers aiming to expand their reach and effectively connect with their audience.

The multimodal models segment is expected to register the highest CAGR in the generative AI in marketing market over the forecast period due to their ability to process and integrate text, image, audio, and video data simultaneously, enabling more immersive and personalized marketing experiences. These models support cross-channel content generation, allowing brands to create cohesive campaigns across social media, email, and video platforms. The rising adoption of AI-driven creative tools, such as multimodal content assistants for ad design and product visualization, is further fueling demand.

Application Insights

The content generation segment dominated the market in 2024. A rising pattern within generative AI for content creation involves generating video scripts and storyboards. AI-driven platforms can assess marketing goals and product details, producing scripts and visual story structures for promotional videos. This development expedites video production by offering a fundamental framework for content generation, permitting marketers to concentrate on implementation and imaginative aspects. With the growing prominence of video content in marketing, AI-derived scripts and storyboards facilitate the production of captivating and influential visual content.

The Search Engine Optimization (SEO) segment is expected to register the highest CAGR in the generative AI in marketing market over the forecast period, driven by the rapid adoption of AI tools for content optimization, keyword research, and automated meta-tag generation. Generative AI models are increasingly being used to create SEO-friendly articles, blog posts, and website copy that enhance visibility and ranking on search engines. The integration of AI with predictive analytics and natural language processing (NLP) helps marketers better understand search intent and user behavior, leading to higher engagement rates.

End-use Insights

The retail and e-commerce segment dominated the market in 2024. Due to the growing desire for individually tailored shopping experiences, generative AI is transforming the Retail and E-commerce industry landscape. Systems fueled by AI can scrutinize customer preferences, previous buying patterns, and online browsing habits to craft individualized product recommendations and shopping ideas. This shift amplifies customer interaction, boosts conversion rates, and cultivates brand allegiance by delivering custom shopping paths. As the demand for personalized encounters escalates, generative AI emerges as a tactical asset for addressing the ever-changing needs of the retail realm. 

The media & entertainment segment is expected to register the highest CAGR in the generative AI in marketing market over the forecast period, driven by the rising demand for AI-driven content creation, personalization, and audience engagement. Generative AI is increasingly used to produce script drafts, promotional visuals, video trailers, and social media content at scale, significantly reducing production time and costs. The industry’s shift toward data-driven storytelling and targeted advertising further supports adoption. Additionally, streaming platforms and studios are leveraging generative AI to analyze viewer preferences and create hyper-personalized marketing campaigns, enhancing viewer retention and monetization opportunities.

Regional Insights

North America generative AI in marketing industry dominated with a revenue share of over 33.4% in 2024. A significant development in the North American market involves broadening the scope of AI-driven customer engagement tactics. Enterprises are integrating generative AI to establish chatbots, virtual assistants, and personalized suggestions that engage with customers instantly. This movement elevates customer contentment, simplifies support procedures, and nurtures deeper interactions, bolstering brand allegiance. As businesses in North America increasingly adopt AI for customer engagement, they enhance their ability to address the escalating need for smooth and effective interactions.

U.S. Generative AI In Marketing Market Trends

The generative AI in marketing industry in the U.S. is expected to grow significantly, driven by the rapid adoption of AI-powered tools for personalized content creation, campaign optimization, and customer engagement. Businesses across sectors are increasingly integrating generative AI to automate marketing workflows, enhance creativity, and improve return on investment. The strong presence of technology providers, coupled with a mature digital advertising ecosystem, is accelerating the deployment of generative AI solutions in marketing strategies.

Europe Generative AI In Marketing Market Trends

The generative AI in marketing market in Europe is expected to grow significantly over the forecast period due to the increasing adoption of AI-driven marketing automation and personalization tools by enterprises across sectors. European companies are leveraging generative AI to create multilingual content, optimize advertising strategies, and enhance customer engagement while maintaining compliance with strict data protection regulations such as GDPR. The region’s strong digital infrastructure, growing investment in AI research, and supportive government initiatives are further fostering market expansion. Additionally, the rising demand for cost-efficient, creative content generation across industries such as retail, media, and e-commerce is accelerating the adoption of generative AI solutions in marketing throughout Europe.

Asia Pacific Generative AI In Marketing Market Trends

The generative AI in marketing industry in the Asia Pacific region is anticipated to grow at the fastest CAGR over the forecast period, driven by the rapid digital transformation across emerging economies such as China, India, and Southeast Asian countries. Businesses in the region are increasingly adopting AI-powered solutions to create personalized marketing campaigns, automate content generation, and enhance customer engagement at scale. The rising internet penetration, growing e-commerce ecosystem, and increased investment in AI technologies are further accelerating market growth.

Key Generative AI In Marketing Company Insights

Key players operating in the generative AI in marketing market are undertaking various initiatives to strengthen their presence and increase the reach of their products and services. Strategies such as expansion activities and partnerships are key in propelling the market growth. Some key companies in the generative AI in marketing market are Adobe Inc. and Amazon Web Services, Inc.

• Adobe Inc., a global leader in digital media and marketing solutions, has integrated generative AI into its offerings through tools such as Adobe Sensei GenAI and Adobe Firefly. These solutions enable marketers to automate content creation, personalize campaigns, and optimize customer engagement by leveraging machine learning and natural language processing. Adobe Firefly allows rapid generation of high-quality visual content, including text-to-image creation and design enhancements.

• Amazon Web Services Inc. is a global leader in cloud computing, offering a comprehensive suite of services that empower businesses to innovate and scale. In the realm of generative AI in marketing, AWS provides a robust platform with tools such as Amazon Bedrock, Amazon SageMaker, and Amazon Personalize. These services enable organizations to build and deploy generative AI applications tailored to their specific needs, enhancing customer experiences through personalized content and recommendations

Recent Developments

• In May 2025, Google LLC launched generative-AI features in Ads, such as Asset Studio and product-centric image generation capabilities to let advertisers automatically generate and scale creative assets inside Google Ads / Merchant Center. This launch enables marketers to create high-quality ad visuals and text variations effortlessly, improving campaign performance and personalization. By integrating generative AI directly into its ad ecosystem, Google LLC enhances automation, creativity, and scalability for advertisers worldwide.      

• In April 2025, HubSpot, Inc., a customer relationship management (CRM) and marketing technology company, launched Breeze Agents, AI agents embedded in HubSpot, Inc. to accelerate marketing, sales, and service workflows, and follow-on press releases expanded availability via HubSpot Credits. The AI agents enable teams to automate repetitive tasks, generate personalized content, and provide intelligent customer support within the HubSpot ecosystem.

• In March 2025, Adobe, a software company, announced expansions to its generative-AI platform, such as GenStudio / Firefly Services to optimize the content supply chain, and added commercial-safe model capabilities across Creative and Experience Cloud. This initiative strengthens Adobe’s position in the GenAI-driven marketing ecosystem by enabling brands to generate, personalize, and distribute content at scale with greater efficiency. It also enhances cross-platform integration, empowering enterprises to leverage AI safely within their existing creative and marketing workflows.

Generative AI In Marketing Market Report Scope

Generative AI In Marketing Market Report Segmentation

This report forecasts revenue growth at the global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the global generative AI in marketing market based on component, system type, application, end-use, and region:

• Component Outlook (Revenue, USD Million, 2021 - 2033)

  • Service

  • Software

• System Type Outlook (Revenue, USD Million, 2021 - 2033)

  • Text Models

  • Multimodal Models

• Application Outlook (Revenue, USD Million, 2021 - 2033)

  • Content Generation

    • Text Generation

    • Image/Video Generation

    • Audio Generation

  • Search Engine Optimization (SEO)

  • Lead Nurturing & Lead Scoring

  • Reporting & Analytics

  • Social Media Marketing

  • Others

• End-use Outlook (Revenue, USD Million, 2021 - 2033)

  • Media & Entertainment

  • IT & Telecommunications

  • Healthcare

  • Automotive & Transportation

  • BFSI

  • Retail and E-commerce

  • Others

• Regional Outlook (Revenue, USD Million, 2021 - 2033)

  • North America

    • U.S.

    • Canada

    • Europe

    • Germany

    • UK

    • France

  • Asia Pacific

    • China

    • Japan

    • India

    • South Korea

    • Australia

  • Latin America

    • Mexico

    • Brazil

  • Middle East and Africa

    • Kingdom of Saudi Arabia (KSA)

    • UAE

    • South Africa