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Generative AI In Marketing Market Size Forecast: How Big Could The Market Get By 2030?
The generative AI in marketing market size has expanded significantly in recent years. It is projected to expand from $4.89 billion in 2025 to $6.58 billion in 2026, achieving a compound annual growth rate (CAGR) of 34.7%. Historically, this growth can be ascribed to several factors, including the emergence of AI algorithms, increased adoption of digital marketing, the expansion of social media platforms, growing e-commerce penetration, and advancements in natural language processing.
The generative AI in marketing market is poised for significant expansion in the next few years. It is expected to reach $18.29 billion by 2030, demonstrating a compound annual growth rate (CAGR) of 29.1%. This projected growth stems from several factors, including the adoption of multimodal generative AI, its integration with AR/VR for immersive campaigns, a growing demand for real-time content personalization, the increase in voice and chat-based marketing, and the broadening use of AI-driven analytics tools. Noteworthy trends for the forecast period include personalized content generation, automated ad creation, AI-powered marketing strategy optimization, dynamic customer segmentation, and predictive campaign analytics.
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Generative AI In Marketing Market Demand Drivers: What’s Powering Industry Growth?
The expansion of e-commerce is anticipated to significantly contribute to the future advancement of the generative AI in marketing market. E-commerce, defined as the exchange of goods and services via the internet or other electronic networks, is witnessing an increase driven by multiple factors. These include broader internet access, a notable shift in consumer preferences towards online shopping, improved convenience, and progress in logistics and payment systems. Generative AI in marketing finds application in e-commerce by enabling personalized product recommendations, developing targeted advertising content, and generating appealing product descriptions tailored to individual customer preferences, which collectively enhance the shopping experience and boost sales. For example, in February 2024, the United States Census Bureau, a US-based government agency, reported that total retail e-commerce sales reached $1,831.4 billion in the fourth quarter of 2023, showing a 0.4% increase compared to the third quarter of 2023. This demonstrates how the flourishing e-commerce sector is driving the growth of the generative AI in marketing market.
Generative AI In Marketing Market Segment Analysis Spotlighting Growth Areas
The generative AI in marketing market covered in this report is segmented –
1) By Component: Service, Software
2) By System Type: Text Models, Multimodal Models
3) By Application: Content Generation, Search Engine Optimization (SEO), Lead Nurturing And Lead Scoring, Reporting And Analytics, Social Media Marketing, Other Applications
4) By End-Use: Media And Entertainment, Information Technology And Telecommunications, Healthcare, Automotive And Transportation, Banking, Financial Services, And Insurance, Retail And E-commerce, Other End-Use Industries
Subsegments:
1) By Service: Consulting And Strategy Development, Integration And Implementation Services, Support And Maintenance, Training And Education
2) By Software: Content Generation Tools, Customer Segmentation And Targeting Software, Predictive Analytics Tools, Chatbots And Virtual Assistants
Generative AI In Marketing Market Innovation Trends: What Developments Are Reshaping The Industry?
Leading firms within the generative AI in marketing sector are creating advanced solutions leveraging AI to improve both the creativity and effectiveness of marketing efforts. This technology enables marketers to simplify creative workflows, uplift campaign outcomes, and provide audiences with more engaging and tailored experiences, ultimately boosting results and return on investment for their marketing endeavors. As an illustration, in January 2023, AppsFlyer, an analytics firm based in the US, introduced Creative Optimization, an AI-driven tool specifically developed to refine the creative process and bolster the performance of marketing campaigns. This offering equips marketers with crucial insights and data-backed recommendations to maximize the influence of their creative content. Creative Optimization pinpoints trends and attributes that foster superior audience engagement, thereby allowing marketers to make well-informed choices and heighten campaign efficacy. The solution also facilitates cooperation among performance marketing, creative, and business intelligence (BI) teams, leading to more streamlined and successful campaigns.
Generative AI In Marketing Market Leading Companies: Who Holds The Strongest Market Presence?
Major companies operating in the generative AI in marketing market are Alphabet Inc.; Microsoft Corporation; Amazon Web Services; International Business Machines Corporation (IBM); Adobe Inc.; OpenAI; Zeta Global; Appier Inc.; Persado Inc.; Bluecore Inc.; Bizzabo Ltd.; Conversica Inc.; Cognitivescale Inc.; Acquisio Inc.; Brighterion Inc.; ClarifAI Inc.; B12 Inc.; AYLIEN Ltd.; Synthesis AI; Amplero Inc.; Genie Artificial Intelligence Ltd.; MOSTLY AI Inc.; Rephrase.AI
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Generative AI In Marketing Market Regional Split: Which Areas Are Fueling Growth?
North America was the largest region in the generative AI in marketing market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative AI in marketing 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.
