Artificial Intelligence Generated Content (AIGC) Market Size - By Component, By Deployment Mode, By Technology, By Content, By Enterprise Size, By Application, Growth Forecast, 2025 - 2034

Report ID: GMI14385
   |
Published Date: July 2025
 | 
Report Format: PDF

Download Free PDF

Artificial Intelligence Generated Content Market Size

The artificial intelligence generated content (AIGC) market size was estimated at USD 27 billion in 2024. The market is expected to grow from USD 29.7 billion in 2025 to USD 71.6 billion in 2034, at a CAGR of 11.6%.
 

Artificial Intelligence Generated Content Market

  • The rapid evolution of AIGC platforms is transforming content generation from a creative task into a scalable enterprise asset. As tools increasingly integrate large language models, diffusion techniques, and multi-modal AI, professionals require cross-domain fluency in prompt engineering, data ethics, and creative workflows. This has made ongoing AIGC upskilling a business-critical priority for scalable content deployment.
     
  • Public-private skilling initiatives and vendor-led ecosystems are boosting market momentum. In March 2024, Singapore’s Infocomm Media Development Authority (IMDA) partnered with leading AI labs and creative institutes to launch a nationwide AIGC training and certification framework. Simultaneously, platforms such as OpenAI, Adobe Firefly, and Stability AI are expanding structured learning tracks for creative and enterprise users.
     
  • The COVID-19 pandemic accelerated demand for digital-first, high-volume content production, dramatically scaling the need for virtual AIGC training. Enterprises and agencies rapidly adopted self-paced, online modules covering responsible AI use, generative design, and tool integrations. As of 2024, most training programs are hybrid, blending live tutorials, creative labs, and certification-based upskilling.
     
  • Platform-specific training holds the dominant market share, fueled by enterprise demand for experts proficient in tools such as ChatGPT, Midjourney, Runway, and Jasper. Organizations are prioritizing training and certification to ensure brand consistency, regulatory compliance, and quality control across AI-generated visual, text, and video assets.
     
  • Role-based and creator-focused training programs are gaining momentum, bringing marketers, educators, developers, and content strategists into the AIGC ecosystem. In April 2024, Canva launched a citizen-creator program that empowers non-technical users to generate brand-aligned assets using generative AI tools and customizable prompts advancing the democratization of content creation.
     
  • North America leads the market, supported by mature AI research ecosystems and robust industry-academia partnerships. In September 2023, the U.S. National AI Institute partnered with leading universities and companies to embed AIGC training into digital media, journalism, and communication programs reinforcing North America’s leadership in AI content innovation and governance.
     
  • Asia-Pacific is the fastest-growing region, driven by government-backed AI strategies and rapid enterprise digitization. Countries such as South Korea, India, and Indonesia are investing heavily in AIGC skill development through national AI missions, public-private education alliances, and subsidized upskilling programs to build a future-ready digital creative workforce.
     

Artificial Intelligence Generated Content Market Trends

  • The convergence of generative AI with traditional content creation workflows is reshaping training paradigms, as enterprises now seek professionals adept in AI prompt engineering, design thinking, and ethical AI use. This trend began gaining traction in late 2022 with the release of ChatGPT and Stable Diffusion APIs, enabling scalable text-to-image and text-to-video workflows. It’s driven by demand for hyper-personalized, AI-native content across marketing and media. The trend is expected to reach mainstream enterprise adoption by 2026, making AIGC fluency essential for digital content teams.
     
  • Role-based, modular learning paths are becoming standard in AIGC education, supporting tailored upskilling for content creators, marketers, educators, and product teams. This trend surfaced in early 2023, led by Adobe, Canva, and Jasper offering learning modules aligned to creative roles. It's fueled by rapid AIGC tool adoption and the need for non-technical fluency. For example, Adobe’s Firefly learning hub offers separate tracks for designers and business users. The trend is set to shape AIGC training through 2027, enabling cross-functional deployment at scale.
     
  • Certification-based learning ecosystems are solidifying as a benchmark for AIGC proficiency, with enterprises increasingly requiring credentials for hiring creative AI specialists. Gaining momentum post-2021, certifications from platforms like OpenAI (Prompt Engineering), DeepLearning.AI, and LinkedIn Learning are driving this trend. It’s fueled by the need for standardization, governance, and responsible AI usage. For instance, DeepLearning. AI’s Generative AI courses see high global enrollment. This trend will influence hiring and upskilling strategies through 2028, reinforcing skill credibility in creative automation.
     
  • The rise of no-code/low-code AIGC tools is transforming content production training, empowering non-technical users to generate assets via simple interfaces. This trend accelerated in 2023 with tools like Canva Magic Studio, Runway, and Microsoft Designer. Organizations now train marketing and HR teams to produce branded content autonomously. For example, Shopify uses Jasper to enable merchants to auto-generate product descriptions. The trend is expected to grow through 2027, democratizing creative workflows across industries.
     
  • Government-backed AI skilling initiatives are expanding access to AIGC education, especially in emerging economies. Gaining scale since 2023, countries like South Korea, Singapore, and India are integrating AIGC into national AI literacy programs. Driven by digital competitiveness and job creation, this trend enhances accessibility. For instance, India’s National AI Mission includes AIGC modules for students and SMEs. The trend is poised to grow through 2026, enabling inclusive participation in the AI-driven creative economy.
     

Artificial Intelligence Generated Content Market Analysis

Artificial Intelligence Generated Content (AIGC) Market, By Component, 2022 - 2034 (USD Billion)

Based on component, the artificial intelligence generated content market is divided into solutions and services. The solutions segment dominated the market accounting for around 68% in 2024 and is expected to grow at a CAGR of over 12% during 2025 to 2034.
 

  • Solutions form the core of the AIGC market, accounting for the largest share across industries and use cases. These include AI-powered platforms for text, image, audio, and video generation, such as ChatGPT, Adobe Firefly, Jasper, and Runway. Solutions enable scalable, on-demand content creation and personalization. Their deployment supports real-time creative workflows, marketing automation, and customer engagement across sectors like media, retail, and education.
     
  • Services segment is expanding steadily, growing at a CAGR of 10.3%. This includes consulting, prompt engineering support, model fine-tuning, integration, and managed content generation. Service providers help enterprises operationalize AIGC, optimize output quality, ensure compliance, and align generative AI tools with brand voice and organizational goals. Demand is particularly strong in marketing agencies, publishing firms, and enterprises lacking in-house AI expertise.
     
  • Solutions are growing faster due to continual innovation in foundation models, multimodal generation, and API access. These platforms support plug-and-play adoption, enabling businesses to quickly deploy AI content tools without deep technical knowledge. Unlike service-heavy models, AIGC solutions offer immediate scalability, low entry barriers, and cost-effective content production, giving them a structural advantage in the next phase of creative automation.
     
  • For example, in December 2023, Coca-Cola integrated OpenAI's and Bain & Company’s AIGC platform into its global content production workflows. This solution-based deployment allowed the brand to generate ad scripts, product imagery, and campaign ideas in multiple languages across geographies, reducing production costs and timelines. The initiative reflects how large enterprises are prioritizing solution-driven AIGC for real-time, brand-consistent creativity.

 

Artificial Intelligence Generated Content Market Share, By Deployment Mode, 2024

Based on deployment mode, the artificial intelligence generated content market is segmented into cloud-based, and on-premises. The cloud-based segment dominates the market with 64% share in 2024, and the segment is expected to grow at a CAGR of over 13% from 2025 to 2034.
 

  • Cloud-based deployment dominates the AIGC market, enabling scalable, real-time content generation via APIs and SaaS platforms. Leading vendors such as OpenAI, Adobe, Jasper, and Canva offer cloud-native tools that support text, image, and video generation on-demand. This model provides global accessibility, rapid iteration, and seamless integration with creative workflows, making it the preferred choice across marketing, e-commerce, media, and education sectors.
     
  • On-premises AIGC deployment is expanding at a CAGR of 9%, driven by data-sensitive industries such as healthcare, finance, and government. Organizations opt for on-premises setups to retain full control over proprietary data, ensure compliance with strict regulatory frameworks, and minimize third-party exposure. These deployments often involve private model training or local inference of open-source generative models like Stable Diffusion or LLaMA.
     
  • The cloud-based segment is growing faster due to lower infrastructure costs, faster time to value, and easier updates. Enterprises can instantly access the latest model improvements and tools without IT overhead. This agility, combined with role-based access, customization, and multi-user collaboration, gives cloud platforms a competitive edge in content velocity and AI innovation.
     
  • For instance, in November 2023, Shopify integrated Jasper’s cloud-based AIGC solution into its merchant platform, enabling sellers to auto-generate product descriptions and ad copy directly from the dashboard. The deployment allowed SMEs to leverage generative AI without additional infrastructure, showcasing the flexibility and reach of cloud-native models in real-world commerce applications.
     

Based on technology, the artificial intelligence generated content (AIGC) market is segmented into NLPs, GANs, transformer models, text-to-image models, text-to-video/3D, text-to-speech and speech-to-text. The transformer model segment is expected to dominate the market in 2024.
 

  • Transformer models serve as the backbone of the AIGC market, driving content generation across text, image, and video domains. These large-scale models, such as GPT, BERT, and LLaMA, underpin leading platforms including ChatGPT, Claude, and Bard. Their ability to understand and generate human-like language has revolutionized creative workflows, marketing, and digital communication, making them the dominant force in the market.
     
  • Natural Language Processing (NLP) is the second-largest segment, growing at a CAGR of 11.3%. It powers capabilities like text summarization, language translation, sentiment analysis, and conversational AI. This segment supports real-time applications in customer service, SEO content creation, and virtual assistants. Enterprises increasingly integrate NLP into internal tools, enhancing personalization and content automation across industries.
     
  • Text-to-Image models hold a 14.5% market share as of 2024, enabling AI to generate high-quality visual content from text prompts. Tools like Midjourney, DALL·E, and Stability AI are widely used in advertising, e-commerce, and design. These models bridge creative gaps for non-designers and accelerate visual content production across media, branding, and social platforms.
     
  • Transformer models’ accelerated adoption is fueled by multimodal integration, fine-tuning capabilities, and API accessibility. These models support diverse content formats, including text, images, code, and video allowing businesses to deploy AI across use cases with minimal infrastructure. Their scalability and adaptability give them a structural advantage in driving the future of generative content.
     
  • For example, in October 2023, LinkedIn deployed transformer-based AIGC tools to auto-generate personalized post drafts and job descriptions for users. Powered by OpenAI, the platform used NLP to align tone and intent, while text-to-image tools enhanced visual engagement. This integration reflects how large platforms are blending transformer and NLP capabilities to scale user-centric content creation.
     
  • The top three segments, Transformer Models, NLP, and Text-to-Image Models collectively account for the majority of market value, indicating a concentrated landscape driven by high-performance generative models. These segments serve both platform developers and enterprise users, marginalizing legacy creative tools and task-specific models with limited scalability.

 

U.S. Artificial Intelligence Generated Content Market Size, 2022- 2034 (USD Billion)

US dominated the North America artificial intelligence generated content market with around 82% market share and generated around USD 7.6 billion in revenue in 2024.
 

  • US leads the AIGC market, driven by its leadership in foundational AI model development, mature digital content economy, and widespread enterprise AI adoption. Home to major players like OpenAI, Adobe, Meta, and Google, the U.S. benefits from a strong ecosystem of AI research labs, creative tech startups, and platform integrators. Its dominance is reinforced by cross-sector AIGC integration in marketing, media, education, and enterprise workflows.
     
  • Institutions are actively embedding AIGC into creative and professional development. For instance, in November 2023, Arizona State University partnered with OpenAI to roll out generative AI training across journalism, business, and communications programs demonstrating how educational institutions are driving scalable talent pipelines aligned with next-gen content tools.
     
  • Canada holds a 9.5% CAGR, supported by national AI policy frameworks, creative industry digitization, and public funding for innovation in content generation. Canadian startups are focusing on niche applications like multilingual AI content and ethical model fine-tuning. Programs such as the Pan-Canadian Artificial Intelligence Strategy and NRC’s industrial R&D grants support ecosystem growth, while bilingual AI training content addresses both English and French markets.
     
  • The U.S. market also benefits from extensive cloud infrastructure (via AWS, Microsoft Azure, Google Cloud) and early access to frontier models, enabling enterprises to rapidly deploy AIGC solutions at scale. With high digital literacy, an expanding creator economy, and a strong emphasis on responsible AI use, the U.S. sets the global benchmark for high-performance, scalable AIGC innovation across both consumer and enterprise applications.
     

The artificial intelligence generated content market in the UK is expected to experience significant and promising growth from 2025 to 2034.
 

  • Europe holds the second-largest share of the AIGC market in 2024, growing at a CAGR of 10.8%, driven by increasing demand for AI-assisted content creation, digital sovereignty, and multilingual model deployment. EU-backed digital innovation hubs, creative sector digitization, and generative AI regulatory frameworks (like the AI Act) are shaping market maturity across member states.
     
  • The UK leads the European AIGC market, supported by a strong ecosystem of generative AI startups, media-tech innovation, and public-private partnerships. In October 2023, the BBC partnered with local AI developers to test AIGC tools for script generation, automated subtitling, and content personalization demonstrating institutional commitment to AI-powered creative workflows.
     
  • Germany and France follow closely, propelled by increasing adoption in advertising, publishing, and enterprise content generation. Germany’s focus on data protection and model explainability favors open-source, localized AIGC platforms, while France has seen rapid uptake in the fashion and luxury sectors. Both countries are investing in AI education and tools tailored to regulated, multilingual environments.
     
  • Eastern and Nordic Europe present emerging opportunities, with markets such as Sweden, Poland, and Finland exploring AIGC for marketing automation, gaming, and government communication. Local language adaptation, ethical AI standards, and support for creative SMEs are key priorities, making these regions attractive for vendors offering flexible, compliance-ready generative solutions.
     

The artificial intelligence generated content market in China is expected to experience significant and promising growth from 2025 to 2034.
 

  • Asia-Pacific is the fastest-growing region in the AIGC market, expanding at a CAGR of 14.6%, driven by rapid digitalization, government-backed AI strategies, and surging demand for localized, AI-generated content across e-commerce, education, and social media. The region's massive internet user base and mobile-first economy are accelerating enterprise adoption of generative content tools.
     
  • China leads the APAC AIGC market, supported by its vibrant AI ecosystem, strong regulatory push for domestic model development, and wide application of AIGC in advertising, entertainment, and influencer commerce. In July 2023, Baidu launched ERNIE Bot 4.0 with multimodal generation capabilities, marking a major step in China's bid to localize foundation models for public and enterprise use.
     
  • Japan and South Korea follow, with significant adoption of AIGC in gaming, anime production, and smart customer service. Japan’s media and design industries are investing in text-to-image models for visual storytelling, while South Korean e-commerce and telecom firms are using AI to generate hyper-personalized content in real time.
     
  • Southeast Asia offers emerging opportunities, particularly in markets like Indonesia, Vietnam, and the Philippines where SMEs are leveraging cloud-based AIGC platforms for marketing, education, and local-language content generation. Regional governments are also launching AI skilling initiatives, making the subregion a hotspot for scalable AIGC adoption.
     

The artificial intelligence generated content (AIGC) market in UAE is expected to experience significant and promising growth from 2025 to 2034.
 

  • The Middle East is emerging as a strategic hub for the AIGC market, supported by national AI visions, digital economy initiatives, and rising enterprise investment in content automation. Governments and private sectors are increasingly adopting AIGC for media, education, tourism, and public communication.
     
  • The UAE leads the regional artificial intelligence generated content market, driven by its AI-first governance strategy, early adoption of generative technologies, and strong investment in digital infrastructure. In October 2023, the UAE Government Media Office launched an AIGC-powered platform to generate multilingual public announcements and campaign visuals, showcasing institutional use of AI for content generation at scale.
     
  • Saudi Arabia and Qatar follow, with AIGC being deployed in smart city projects, government outreach, and event marketing. These countries are investing in Arabic-language model development and culturally adapted content engines, creating opportunities for regional and global vendors.
     
  • Other Gulf nations such as Bahrain and Oman are exploring AIGC applications in education and SMEs, particularly through partnerships with global cloud providers. Growing interest in AI literacy and creative automation is making the region increasingly receptive to scalable AIGC solutions.
     

The artificial intelligence generated content market in Brazil is expected to experience significant and promising growth from 2025 to 2034.
 

  • Latin America is witnessing steady growth in the AIGC market, driven by expanding digital content consumption, rising adoption of AI tools by businesses, and increasing demand for multilingual content generation. Regional startups and enterprises are exploring generative AI for marketing, customer engagement, and education.
     
  • Brazil leads the AIGC market in Latin America, supported by its large digital economy, vibrant media and advertising sectors, and government interest in AI-driven innovation. In August 2023, Globo, one of Brazil’s largest media networks, piloted AIGC tools for automated scriptwriting and news summarization, reflecting the country's move toward AI-powered content production.
     
  • Mexico and Colombia follow, with growing application of generative AI in e-commerce, fintech, and edtech. Localized language models and partnerships with global platforms are enabling broader access to AIGC tools for SMEs and digital creators. Colombia is also emerging as a key growth country, with rising government interest in AI regulation, a thriving startup ecosystem, and early adoption of AIGC in digital learning and content marketing.
     
  • Other countries such as Chile and Argentina are emerging as testing grounds for AI-powered marketing solutions and academic content creation, supported by strong mobile internet penetration and growing demand for low-cost, scalable content solutions.
     

Artificial Intelligence Generated Content Market Share

  • The top 7 companies in the artificial intelligence generated content (AIGC) industry are Open AI, Google DeepMind, Anthropic, Microsoft, Adobe, Meta (Facebook AI), and AWS contributing around 28% of the market in 2024.
     
  • Amazon Web Services (AWS) leads the AIGC market in 2024, leveraging its extensive cloud infrastructure and scalable AI services through Amazon Bedrock and SageMaker. Its competitive advantage lies in offering fully managed generative model access from Anthropic, Stability AI, and AI21 Labs, catering to developers and enterprises alike. AWS’s integration with content-centric APIs and strong positioning in the enterprise cloud segment ensures wide adoption of AIGC across verticals.
     
  • Microsoft holds the second position, maintaining strong momentum through its partnership with OpenAI and integration of generative AI into Microsoft 365 (Copilot), Azure OpenAI Services, and GitHub Copilot. The company’s dominance in the enterprise software space and educational ecosystems allows seamless deployment of AIGC tools for both productivity and development. Microsoft’s edge lies in its strategic embedding of AI into core business applications and developer tooling.
     
  • Meta (Facebook AI) ranks third, accelerating its presence in AIGC via open-source models like LLaMA and Emu for text, image, and multimodal content generation. Meta’s advantage is rooted in its vast user base across Facebook, Instagram, and WhatsApp, enabling real-time AIGC applications in social media, advertising, and AR/VR experiences. However, it faces regulatory scrutiny and the challenge of responsibly scaling public-facing content generation.
     
  • Adobe remains a dominant player in creative AIGC, thanks to the success of Adobe Firefly and its seamless integration with Creative Cloud products like Photoshop, Illustrator, and Premiere Pro. Its core strength lies in serving professional creators and designers through brand-safe, commercially usable content generation. Adobe continues to expand Firefly’s capabilities with multilingual support and generative fill tools tailored for creative workflows.
     
  • OpenAI continues to influence the broader AIGC ecosystem, offering foundational models such as GPT-4 and DALL·E through ChatGPT and API access. While not a standalone platform player like AWS or Microsoft, its models power a wide range of AIGC applications across industries. OpenAI’s rapid model iteration and ecosystem expansion (e.g., GPTs, plugins) have kept it at the forefront, though it increasingly relies on partners for enterprise scale.
     
  • Anthropic has carved a strong niche through its safety-first models like Claude, positioning itself as a responsible AI provider. Its alignment with AWS and emphasis on constitutional AI has attracted enterprises and governments prioritizing transparency and guardrails in generative content. While smaller in scale compared to Big Tech players, Anthropic’s differentiation strategy has secured major enterprise pilots and partnerships.
     
  • Google DeepMind maintains a significant footprint in the AIGC market through its Gemini model family and ecosystem-wide integration into Google Workspace, YouTube, and Android. DeepMind’s edge lies in its multimodal research excellence and ability to bring cutting-edge innovation to mass platforms. Despite recent catch-up efforts compared to OpenAI, its access to global data infrastructure and user base makes it a key player to watch in commercial AIGC.
     

Artificial Intelligence Generated Content Market Companies

Major players operating in the artificial intelligence generated content (AIGC) industry are:

  • Adobe
  • Amazon Web Services (AWS)
  • Anthropic
  • Canva
  • Google DeepMind
  • Meta (Facebook AI)
  • Microsoft
  • OpenAI
  • Runway
  • Stability AI
     
  • Adobe, Microsoft, and Google DeepMind have strategically built robust AIGC ecosystems deeply embedded in creative and productivity workflows. Adobe continues to enhance its Firefly suite with brand-safe generative tools across Creative Cloud. Microsoft has rolled out Copilot integrations across Office 365, combining GPT with enterprise software. Google DeepMind drives multimodal innovations through Gemini, integrating AIGC into Workspace and Android, creating seamless user and enterprise access to AI-generated content.
     
  • Amazon Web Services (AWS), OpenAI, and Anthropic lead in foundational model accessibility and developer-oriented platforms. AWS’s Bedrock service enables access to multiple leading generative models (including Anthropic’s Claude) through a unified API, facilitating enterprise-scale adoption. OpenAI powers major AIGC deployments via ChatGPT and APIs for GPT, DALL·E, and Whisper, forming the backbone of many enterprise and consumer tools. Anthropic stands out with its safety-first positioning and partnerships emphasizing responsible AI deployment.
     
  • Meta (Facebook AI), Canva, and Stability AI are transforming user-facing and visual content generation. Meta has open-sourced LLaMA and introduced Emu for image and video generation, while integrating AIGC into Instagram and WhatsApp. Canva is democratizing AIGC through design-centric tools like Magic Design and Magic Write, enabling content creation for non-technical users. Stability AI continues to expand Stable Diffusion with a focus on open-source development and creative flexibility.
     
  • Runway, a rising disruptor, specializes in video and multimedia generation, gaining traction with tools like Gen-2 for AI-powered video editing and frame synthesis. Its focus on creative professionals and integration with production pipelines makes it a go-to platform for short-form and visual storytelling. This positions Runway as a specialist in high-growth, creator-economy-driven niches within AIGC.
     

Artificial Intelligence Generated Content Industry News

  • In June 2025, Disney and Universal Studios have initiated a joint lawsuit against Midjourney, alleging that the platform allows users to replicate iconic characters, such as Wall-E and Darth Vader, without permission. This marks a decisive moment in the legal battle over AI-generated art and copyright infringement. It signals increased scrutiny from content creators on generative platforms.
     
  • In June 2025, Denmark introduced legislation giving citizens special copyright protections over the use of their image and voice to counter AI-powered deepfakes. These rules strengthen consent rights and require platforms to remove unauthorized AI-generated content.
     
  • In May 2025, At Google I/O, Veo 3 debuted as a powerful multimodal AI that converts text prompts into full HD videos complete with synchronized audio, ambient sounds, dialogue, and effects. Delivered via Gemini app and vertex AI, this tool empowers creators, educators, and marketers to develop immersive multimedia content efficiently.
     
  • In May 2025, Open AI announced a groundbreaking partnership with the United Arab Emirates through the launch of Stargate UAE, a massive artificial intelligence infrastructure project based in Abu Dhabi. This is Open AI’s first global deployment of its Stargate infrastructure outside the United States, positioning the UAE as a leading hub for advanced AI development. The project aims to construct a 1-gigawatt AI supercomputing cluster, with an initial 200-megawatt phase expected to go live by the end of 2026.
     

The artificial intelligence generated content (AIGC) market research report includes in-depth coverage of the industry with estimates & forecasts in terms of revenue ($ Mn/Bn) from 2021 to 2034, for the following segments:

Market, By Component

  • Solutions
    • Text generation tool
    • Image generation platforms
    • Video and animation generators
    • Audio and speech synthesis tools
    • Code generation platforms
  • Services
  • Consulting & strategy
  • Integration & deployment
  • Support & maintenance
  • Custom content development services

Market, By Deployment Mode

  • On-premises
  • Cloud-based

Market, By Technology

  • Natural Language Processing (NLP)
  • Generative Adversarial Networks (GANs)
  • Transformer Models
  • Text-to-Image Models
  • Text-to-Video/3D
  • Text-to-Speech (TTS)
  • Speech-to-Text (STT)

Market, By Content

  • Text content
    • Blogs and articles
    • Marketing copy (ads, emails)
    • Scripts and dialogues
    • Product descriptions
  • Image Content
    • Digital art & illustrations
    • Product visuals
    • Marketing & social media graphics
  • Video Content
    • Explainer videos
    • Virtual presenters
    • Synthetic actors/avatars
  • Audio Content
    • Voiceovers
    • Podcasts
    • Audiobooks
  • Code Content
    • Web development scripts
    • Game development code
    • Automation scripts

Market, By Enterprise Size

  • Small enterprises
  • Medium enterprises
  • Large enterprises

Market, By Application

  • Marketing & advertising
  • Media & entertainment
  • E-commerce & retail
  • Education & training
  • Customer service & virtual assistance
  • Software & game development
  • Others

The above information is provided for the following regions and countries:

  • North America
    • U.S.
    • Canada
  • Europe
    • Germany
    • UK
    • France
    • Italy
    • Spain
    • Russia
    • Nordics
  • Asia Pacific
    • China
    • India
    • Japan
    • Australia
    • Indonesia
    • Philippines
    • South Korea
    • Singapore
  • Latin America
    • Brazil
    • Mexico
    • Argentina
    • Colombia
  • MEA
    • South Africa
    • Saudi Arabia
    • UAE

 

Authors: Preeti Wadhwani
Frequently Asked Question(FAQ) :
Who are the key players in the artificial intelligence generated content industry?
Key players include Amazon Web Services (AWS), Microsoft, Adobe, OpenAI, Meta (Facebook AI), Google DeepMind, Anthropic, Canva, Runway, and Stability AI.
What are the upcoming trends in the AIGC market?
Which region leads the artificial intelligence generated content (AIGC) sector?
What was the valuation of the cloud-based deployment segment in 2024?
What is the market size of the artificial intelligence generated content in 2024?
What is the projected value of the artificial intelligence generated content market by 2034?
How much revenue did the solutions segment generate in 2024?
Artificial Intelligence Generated Content (AIGC) Market Scope
  • Artificial Intelligence Generated Content (AIGC) Market Size
  • Artificial Intelligence Generated Content (AIGC) Market Trends
  • Artificial Intelligence Generated Content (AIGC) Market Analysis
  • Artificial Intelligence Generated Content (AIGC) Market Share
Related Reports
    Authors: Preeti Wadhwani
    Buy Now
    $4,123 $4,850
    15% off
    $4,840 $6,050
    20% off
    $5,845 $8,350
    30% off
        Buy now
    Premium Report Details

    Base Year: 2024

    Companies covered: 20

    Tables & Figures: 190

    Countries covered: 24

    Pages: 170

    Download Free PDF

    Top
    We use cookies to enhance user experience. (Privacy Policy)