The global generative AI market size is anticipated to reach USD 109.37 billion by 2030, according to a new report by Grand View Research, Inc., registering a CAGR of 37.6% from 2025 to 2030. Growing demand to modernize workflow across industries is expected to drive the demand for generative AI applications among industries. Other factors that propel the market growth include the evolution of AI and deep learning, a rise of creative applications & content creation, and innovation of cloud storage, allowing easy data access. Moreover, the introduction of AI-powered gaming that provides more high-level visuals and graphics, interactivity, and a more realistic feel is projected to boost market growth in the coming years.
Generative AI Market Report Highlights
- The software segment accounted for the dominant share of 64.2% in 2024. The growth of the software segment in generative AI is driven by factors such as the rise in fraudulent activities, overestimation of capabilities, unexpected outcomes, and increasing concerns about data privacy.
- The transformers segment accounted for the dominant share in 2024, largely due to its capacity to handle vast amounts of data efficiently.
- The media and entertainment industry accounted for the dominant share in 2024. The media and entertainment industry remains dominant in the generative AI market, as this sector extensively integrates AI for content creation, personalized recommendations, and audience engagement
- Natural language processing (NLP) holds a dominant position in the generative AI market, driven by its widespread applications in chatbots, virtual assistants, and content creation.
- Large language models (LLMs) continue to dominate the market, primarily due to their impressive capabilities in text-based tasks such as content generation, customer service automation, and data analysis.
- App builders stand as the dominant customer segment within the market, driven by their need to integrate AI capabilities into applications across industries.
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The COVID-19 pandemic had a positive impact on the market. Many organizations adopted AI & Machine Learning (ML) as a response to the pandemic. Many key players, such as Microsoft, IBM, Google LLC, and Amazon Web Services, Inc., witnessed a growth in sales of AI-based technology during the pandemic. Moreover, the accelerated advancement of digital platforms empowered the adoption of generative AI applications. For instance, in June 2020, Amazon Web Services, Inc. announced the addition of a new generative AI algorithm, Autoregressive Convolutional Neural Network (AR-CNN), to its AWS DeepComposer suite of products, allowing developers to create excellent music digitally.
AWS DeepComposer also provides learning capsules to developers to learn the basics of algorithms. Many generative AI market players offer solutions for numerous applications, such as text-to-image, image-to-image, and super-resolution. For instance, in March 2023, Microsoft Corporation, a software company in the U.S., launched Microsoft 365 Copilot, an AI assistant feature for Microsoft 365 services and applications. Microsoft 365 Copilot can benefit businesses by saving time, streamlining and automating their IT processes, and increasing productivity. Moreover, these industry players are researching generative AI technology for advanced image resolution, face aging, and video resolution technologies.
For instance, U.S.-based Tesla is developing autonomous algorithms using data from car sensors. Also, the neural networks are further trained to perform object detection and semantic segmentation. Investment in the AI and ML sectors to support the market will drive the North America regional market. The presence of tech players in the U.S. and Canada provides lucrative growth opportunities for the regional market. For instance, big tech companies like Microsoft Corporation, Google LLC, and Amazon Web Service are investing in generative AI startups and technology. Asia Pacific is expected to grow at a considerable CAGR from 2024 to 2030 owing to the expansion of end-user industries in countries, such as China and Japan.
List of Key Players of Generative AI Market
- Adobe
- Amazon Web Services, Inc.
- D-ID
- Genie AI Ltd.
- Google LLC
- IBM
- Microsoft
- MOSTLY AI Inc.
We have segmented the global generative AI market on the basis of component, technology, end-use, application, model, customers and region:
Generative AI Component Outlook (Revenue, USD Million, 2018 - 2030)
- Software
- Service
Generative AI Technology Outlook (Revenue, USD Million, 2018 - 2030)
- Generative Adversarial Networks (GANs)
- Transformers
- Variational Auto-encoders
- Diffusion Networks
Generative AI End-use Outlook (Revenue, USD Million, 2018 - 2030)
- Media & Entertainment
- BFSI
- IT & Telecommunication
- Healthcare
- Automotive & Transportation
- Gaming
- Others
Generative AI Application (Revenue, USD Million, 2018 - 2030)
- Computer Vision
- NLP
- Robotics & Automation
- Content Generation
- Chatbots & Intelligent Virtual Assistants
- Predictive Analytics
- Others
Generative AI Model (Revenue, USD Million, 2018 - 2030)
- Large Language Models
- Image & Video Generative Models
- Multi-modal Generative Models
- Others
Generative AI Customers (Revenue, USD Million, 2018 - 2030)
- Model Builders
- App Builders
Generative AI Regional Outlook (Revenue, USD Million, 2018 - 2030)
- North America
- Europe
- Asia Pacific
- Latin America
- Middle East & Africa (MEA)
Research Methodology
We employ a comprehensive and iterative research methodology focused on minimizing deviance in order to provide the most accurate estimates and forecasts possible. We utilize a combination of bottom-up and top-down approaches for segmenting and estimating quantitative aspects of the market. Data is continuously filtered to ensure that only validated and authenticated sources are considered. In addition, data is also mined from a host of reports in our repository, as well as a number of reputed paid databases. Our market estimates and forecasts are derived through simulation models. A unique model is created and customized for each study. Gathered information for market dynamics, technology landscape, application development, and pricing trends are fed into the model and analyzed simultaneously.
About Grand View Research
Grand View Research provides syndicated as well as customized research reports and consulting services on 46 industries across 25 major countries worldwide. This U.S. based market research and consulting company is registered in California and headquartered in San Francisco. Comprising over 425 analysts and consultants, the company adds 1200+ market research reports to its extensive database each year. Supported by an interactive market intelligence platform, the team at Grand View Research guides Fortune 500 companies and prominent academic institutes in comprehending the global and regional business environment and carefully identifying future opportunities.
Contact:
Grand View Research, Inc.
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As the enterprise market begins to mature and become attracted to smarter AI solutions that bring real value, they abandon failing solutions and migrate to proven technologies — technology can pursue improvements and structures in their businesses.
Maturity in the Marketplace for Conversational AI SolutionsWe are seeing huge maturity in the market and measured by companies that are starting to realize the value they can gain from conversational artificial intelligence, and it is also coming from companies that are testing, testing and failing with a variety of solutions.Now, the CIO’s (Chief Information Officers) are being asked to take control of a very complex and chaotic landscape and build the best business centers that allow companies to create use cases that work within their business.For example, we see our professional services consultants (who were building interactive AI projects and solutions for our customers 12 months ago) now supporting these excellence centers and asking them to be a consultant and expertise.And guides how to implement these solutions.
Reuse of conversational data to improve solutionsThe second trend is around conversational data reuse.When you and I speak humanly, we are exposed to what we are thinking — our likes, dislikes and what we are looking for.You can use that information to understand what your customers think and use that data and knowledge to improve your products and services and improve your communication system as part of a closed-loop machine.
The learning environment.As a result, our customers are increasingly recognizing the value of this conversational data.
Convert from Chatbots to Advanced Conversation Intelligent SolutionsWe have already seen geographies as very mature #markets, including the Nordics, Germany, Holland, and the UK, but as countries such as Spain and Italy are very mature, we are seeing a definite shift towards more conversationally intelligent solutions.Six months ago, these markets were seeing FAQ chatbots, and I think they started to realize that [FAQ chatbots] don’t add tangible business value.
So, there’s real maturity there too.
