Generative AI In Content Creation Market Size, Share & Trends Analysis Report By Component (Software, Services), By Application (Video Generation, Text Generation, Image Generation, Audio Generation), By Industry, By Region, And Segment Forecasts, 2025 - 2030

Market Size & Trends

The global generative AI in content creation Market size was estimated at USD 14.84 billion in 2024 and is expected to grow at a CAGR of 32.5% from 2025 to 2030. This growth is driven by the increasing demand for scalable, cost-efficient, and high-quality content across industries such as marketing, entertainment, e-commerce, and education. Businesses are adopting generative AI to accelerate content workflows, reduce production time, and personalize user experiences at scale. The proliferation of multimodal AI tools that can generate text, images, video, and audio is expanding the addressable industry.

Additionally, advancements in foundational models, such as OpenAI's GPT and Google LLC's Gemini, are enhancing the capabilities and accessibility of content creation tools. The rise of creator economy platforms and brand automation needs is further fueling adoption. As regulatory frameworks mature and AI integration becomes mainstream, generative AI is expected to transform how content is ideated, produced, and consumed.

Further, the industry is driven by the increasing demand for scalable, cost-efficient, and high-quality content across various industries, including marketing, entertainment, e-commerce, and education. Advancements in AI technologies, particularly in Natural Language Processing (NLP), computer vision, and Generative Adversarial Networks (GANs), are unlocking new possibilities for generating human-like content. The proliferation of multimodal AI tools capable of producing text, images, video, and audio from a single prompt is expanding the market's addressable scope. Additionally, the democratization of content creation tools is enabling broader participation, allowing non-technical users to generate high-quality content.

A confluence of technological, economic, and industry-specific factors is driving the growth of the industry. One of the primary drivers is the increasing demand for scalable, cost-effective, and high-quality content across sectors such as marketing, media, e-commerce, and education. Businesses are under pressure to produce personalized and engaging content in real-time, and generative AI provides the tools to automate and accelerate this process without compromising creativity. The rise of the creator economy has also fueled demand from individual users, freelancers, and small businesses who now have access to tools that previously required expert skills or large teams. Enterprises are increasingly integrating generative AI into their content workflows to optimize costs and increase productivity, mainly in areas such as ad copy, email campaigns, product descriptions, and video scripts.

Component Insights

The software segment led the market and accounted for over 76.0% of the global revenue in 2024. The growth is primarily attributed to the widespread adoption of AI-powered content generation platforms and tools across industries such as marketing, media, and e-commerce. Software solutions offer flexible deployment models, including cloud-based SaaS and API integrations, making them accessible to both enterprises and individual users. These platforms are continuously updated with advanced features such as multimodal generation, real-time collaboration, and content customization, enhancing their value proposition. Additionally, software products follow subscription or usage-based pricing models, ensuring recurring revenue streams and higher monetization potential for vendors.

The services segment is anticipated to grow at the fastest CAGR during the forecast period. This growth is driven by the rising demand for consulting, integration, customization, and support services as businesses increasingly adopt AI-powered content solutions. Many organizations, especially small and mid-sized enterprises, lack the in-house expertise to effectively deploy and manage generative AI tools, creating a strong demand for specialized service providers. As generative AI applications become more complex and industry-specific, the need for tailored implementations, training, and compliance support is also increasing. Service providers play a vital role in helping companies align AI tools with their content strategies, business goals, and regulatory requirements.

Industry Insights

The entertainment and media segment led the market in 2024 due to the growing demand for innovative and cost-effective content production solutions. AI-driven tools are increasingly being used to generate music, scripts, animations, video effects, and even personalized content for streaming platforms, allowing companies to reduce production costs and timelines. The entertainment industry has been an early adopter of generative AI, leveraging it for creative processes, including film and game development, as well as media production. AI-generated content also allows for high levels of customization, enabling targeted marketing campaigns and personalized viewer experiences, which is valuable for platforms such as Netflix, YouTube, and Spotify. As content consumption continues to rise globally in the form of video, there is greater demand for scalable content creation solutions that generative AI can efficiently provide.

The marketing and advertising segment is poised for significant growth due to the increasing demand for personalized, high-volume content across digital channels. Brands and agencies are turning to generative AI to create ad copy, social media posts, promotional videos, and email campaigns that can be tailored to specific audiences in real-time. AI tools enable marketers to rapidly test variations of content, optimize messaging, and reduce campaign turnaround times, enhancing both efficiency and ROI. The rise of performance marketing and data-driven strategies has further accelerated the need for content that can be dynamically generated and scaled across multiple platforms. Generative AI also supports localization and multilingual content creation, allowing global brands to reach diverse markets more effectively.

Application Insights

The text generation segment accounted for the largest revenue share in 2024. This dominance is largely due to the widespread and versatile use of AI-generated text across various applications, including marketing copy, blog posts, email campaigns, chatbots, and customer service scripts. Businesses across industries have rapidly adopted tools such as GPT-based platforms to streamline content creation, improve productivity, and personalize communication at scale. Text generation tools are relatively easy to integrate into existing systems and require less computational power compared to image or video generation, making them more accessible and cost-effective. Moreover, the maturity and accuracy of large language models have increased significantly, enabling high-quality, human-like output that meets professional standards. These tools are also being used to support multilingual content generation, expanding their utility for global enterprises.

The video generation segment is poised for substantial growth due to increasing demand for dynamic, engaging visual content across digital platforms. Businesses are turning to AI-powered video tools to produce product demos, explainer videos, training modules, and personalized marketing content at scale without the high costs and time constraints of traditional video production. Advancements in generative models such as Runway, Synthesia, and OpenAI's Sora have significantly enhanced the realism, quality, and usability of AI-generated videos. These tools enable users to generate professional-grade video content with minimal input, often using just text prompts or templates. The growing popularity of short-form video content on platforms such as TikTok, Instagram Reels, and YouTube Shorts is further driving demand for fast and scalable video generation solutions. Additionally, sectors such as e-learning, media, and corporate training are increasingly adopting AI video tools to create localized and customized visual content.

Regional Insights

North America generative AI in content creation market represented a significant share of 38.4% in 2024, driven by its strong technological infrastructure and early adoption of AI innovations. The region is home to leading AI developers and platforms such as OpenAI, Adobe, Inc., Google LLC, and Meta, which have been instrumental in advancing generative AI capabilities. High levels of investment in AI startups, coupled with widespread enterprise integration of AI-powered content tools, have further fueled market growth. The U.S. has a mature digital economy and a strong concentration of media, marketing, and entertainment companies that are leveraging AI for scalable content production.

U.S. Generative AI In Content Creation Market Trends

The generative AI in content creation market in the U.S. is expected to grow substantially over the forecast period due to the country’s strong innovation ecosystem and high demand for automated content solutions. The U.S. hosts many of the world’s leading AI firms and startups, including OpenAI, Adobe, Google, and several fast-scaling generative AI platforms, which are continuously enhancing their product offerings. American enterprises across sectors in media, marketing, e-commerce, and education are rapidly integrating AI to streamline content production, improve personalization, and boost campaign performance. The growing need for high-quality, scalable digital content for omnichannel marketing and digital transformation initiatives is accelerating adoption.

Europe Generative AI In Content Creation Market Trends

The generative AI in content creation industry in Europe is expected to witness significant growth over the forecast period, fueled by increasing digitalization and the rising adoption of AI across creative and commercial sectors. European businesses are leveraging generative AI to automate content production for advertising, e-commerce, publishing, and media, aiming to reduce costs and improve efficiency. Governments and the European Union are also supporting AI innovation through strategic funding programs and digital transformation initiatives, such as the EU AI Act, which encourages responsible and ethical AI use. Moreover, Europe has a strong base of creative industries and multilingual markets, which benefit from AI tools that can generate localized and culturally relevant content. Countries such as Germany, the UK, France, and the Netherlands are emerging as major hubs for generative AI adoption due to their robust tech ecosystems and strong presence of media and marketing firms.

Asia Pacific Generative AI In Content Creation Market Trends

The generative AI in content creation industry in the Asia Pacific region is anticipated to register the fastest CAGR over the forecast period, due to rapid digital transformation, growing internet penetration, and increasing content consumption across emerging economies. Countries such as China, India, Japan, and South Korea are investing heavily in AI research and development, supported by government initiatives and large-scale tech companies. The booming e-commerce, gaming, and entertainment sectors in the region are driving demand for scalable, AI-generated content to engage diverse and growing digital audiences.

Key Generative AI In Content Creation Companies Insights:

Key players operating in the generative AI in content creation 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.

Recent Developments

• In April 2025, Canva launched Visual Suite 2.0, introducing a new era of AI-powered design aimed at enhancing team creativity, communication, and productivity. The update includes advanced tools such as visual spreadsheets, data visualization, conversational design, and personalized content creation at scale. This launch reinforces Canva’s position as a leader in visual communication, supporting everything from everyday design tasks to complex team workflows.

• In April 2025, L’Oréal S.A. launched its generative AI beauty content lab, Creaitech, using Google’s Imagen 3, Gemini, and Veo 2 models to enhance its marketing team’s creative workflows. The AI tools assist in generating concepts, storyboards, and packaging visuals while speeding up content production through prompt-based inputs. Moreover, the technology is used to generate campaign visuals and animated sequences, such as transforming product shots into eight-second promotional videos.

• In March 2025, Publicis Groupe and Adobe expanded their global partnership by integrating Adobe Firefly generative AI into Publicis’ CoreAI platform. This collaboration combines Adobe’s creative AI tools with Publicis’ proprietary data and intelligent content operations to scale personalized content production. The integration aims to help businesses deliver more tailored, audience-specific experiences, boosting engagement, innovation, and growth for clients.

• In September 2024, FanHero launched CREATOR Enterprise, its generative AI platform designed to streamline content creation, community engagement, and monetization. Integrated into the FanHero platform, CREATOR Enterprise transforms user data, prompts, and media into high-quality, personalized videos, documents, courses, and more. Using advanced multimodal AI, it functions like a skilled researcher, generating content across formats, including scripts, blogs, code, and training materials tailored to brand needs. The platform supports diverse industries such as education, finance, retail, and health and fitness.

Generative AI In Content Creation Market Report Scope

Global Generative AI In Content Creation 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 2017 to 2030. For this study, Grand View Research has segmented the global generative AI in content creation market report based on component, application, industry, and region.

• Component Outlook (Revenue, USD Million, 2017 - 2030)

  • Software

  • Services

• Application Outlook (Revenue, USD Million, 2017 - 2030)

  • Text Generation

  • Image Generation

  • Video Generation

  • Audio Generation

  • Others

• Industry Outlook (Revenue, USD Million, 2017 - 2030)

  • Entertainment and Media

  • E-commerce

  • Healthcare

  • Marketing and Advertising

  • Others

• Regional Outlook (Revenue, USD Million, 2017 - 2030)

  • North America

    • U.S.

    • Canada

    • Mexico

  • Europe

    • UK

    • Germany

    • France

  • Asia Pacific

    • China

    • India

    • Japan

    • Australia

    • South Korea

  • Latin America

    • Brazil

  • MEA

    • UAE

    • South Africa

    • KSA