Generative AI Market

Generative AI Market Overview

As per MRFR analysis, the Generative AI Market Size was estimated at 5.76 (USD Billion) in 2023. The Generative AI Market Industry is expected to grow from 6.89(USD Billion) in 2024 to 50 (USD Billion) by 2035. The Generative AI Market CAGR (growth rate) is expected to be around 19.74% during the forecast period (2025 - 2035).

Key Generative AI Market Trends Highlighted

Driven by the need for automation and improved user experience, the Global Generative AI Market is seeing increased acceptance across many industries. From text to graphics to even music, companies are using generative artificial intelligence tools increasingly to produce complex material. Companies' desire to simplify their processes and increase efficiency drives this requirement. Companies understand the need to incorporate artificial intelligence into their processes as they try to stay competitive, given notable developments in AI algorithms and infrastructure. The Global Generative AI Market offers several possibilities, particularly in industries like entertainment, finance, and healthcare.

Untapped possibilities for AI-driven innovation draw more money as companies want to investigate uses for improving consumer interactions and personalizing offerings. Educational institutions are also starting to include generative artificial intelligence tools to encourage student creativity and innovation, hence producing a new generation of professionals competent in using artificial intelligence technology. Recently, trends have pointed to a rising emphasis on the ethical consequences of generative artificial intelligence as stakeholders push for responsible usage and openness in AI research. The worldwide debate on artificial intelligence legislation underlines the need to handle issues like prejudice, intellectual property, and data protection.

Furthermore, developments in cloud computing are enabling companies of all sizes to access artificial intelligence features faster. Overall, the Global Generative AI Market is moving toward a future when human-machine creative cooperation will be standard, hence improving production and creating fresh development possibilities for all sectors.

Fig 1: Generative AI Market Overview

Source: Primary Research, Secondary Research, MRFR Database and Analyst Review

Generative AI Market Drivers

Surge in Demand for Content Creation

Demand for automated content generation in the Generative AI Market is rising. A Global Web Index study shows that 54% of marketers are using automated technologies to simplify content creation as companies race to create interesting digital material. Leading the way are companies like Adobe and Canva, which include generative artificial intelligence features in their systems to satisfy this rising need.

Significant expansion in this industry is being driven by the simplicity of producing customized marketing materials and improving consumer interaction via individualized content. The dependence on generative artificial intelligence for content generation is likely to increase as customers become used to digital interactions, hence increasing market growth opportunities.

Increased Adoption of Chatbots in Customer Service

Chatbots are being transformed in customer service worldwide by means of generative artificial intelligence. Studies on customer service technologies show that by 2024, 80% of companies in some industries will likely engage with customers using chatbots. Leading this trend are businesses such as Microsoft and Google, which provide sophisticated artificial intelligence chat tools to improve customer experience. The need for generative artificial intelligence solutions is expected to explode as more companies use these tools to offer 24/7 customer care, hence supporting the general expansion of the Global Generative AI Market Industry.

Advancements in Natural Language Processing

Generative artificial intelligence has driven dramatic changes in natural language processing (NLP), which is now a key area for continuous development projects. The National Science Foundation reports a 30% annual increase in NLP research funding, so stressing the quickening need to comprehend and produce human language. Major tech companies like IBM and OpenAI are significantly advancing in developing algorithms for improved language production and interpretation.

Improving NLP technologies will lead companies to use these innovative tools more and more to boost communication efficiency, therefore generating demand in the Global Generative AI Market Industry.

Generative AI Market Segment Insights

Generative AI Market Technology Insights

The Generative AI Market in the Technology segment has been demonstrating robust growth, with a valuation of 6.89 USD Billion projected for 2024 and an expected rise to 50.0 USD Billion by 2035. This segment encompasses diverse technologies that serve transformative roles across various industries. Natural Language Processing emerged as a frontrunner in this space, attaining a valuation of 2.3 USD Billion in 2024, projected to escalate to 18.0 USD Billion by 2035. Its dominance can be attributed to its extensive applications in customer service automation, chatbots, and content generation, which have become indispensable in enhancing user engagement and operational efficiency.

Image Generation follows closely, valued at 1.8 USD Billion in 2024, with expectations of reaching 9.5 USD Billion by 2035, demonstrating significant potential in creative sectors such as marketing, advertising, and entertainment where visual content is increasingly crucial for communication. Speech Synthesis, valued at 1.2 USD Billion in 2024, and anticipated to grow to 7.0 USD Billion by 2035, facilitates advancements in accessibility technology, making information more available to various demographics, including those with disabilities. Meanwhile, Video Generation marks a noteworthy segment, starting with a value of 1.59 USD Billion in 2024 and expected to soar to 15.5 USD Billion by 2035.This significant growth reflects the increasing demand for dynamic content across educational, commercial, and social media channels. The Global Generative AI Market segmentation under the Technology frontier epitomizes the rapid technological advancements driving efficiency and creativity in modern enterprises, underscoring the importance of these technologies in fostering enhanced interaction, engagement, and innovation across global platforms. As each of these areas achieves substantial growth, they collectively contribute to greater efficiencies, improved communication strategies, and enriched user experiences in diverse applications worldwide.

The market growth is supported by trends such as increased digitization, automation requirements, and the need for innovative content creation tools that meet growing demands. However, challenges such as ethical considerations and data privacy issues may pose hurdles that need addressing to maximize the benefits of these technologies.

Fig 2: Generative AI Market Insights

Source: Primary Research, Secondary Research, MRFR Database and Analyst Review

Generative AI Market Application Insights

The Generative AI Market in the Application segment has shown considerable growth, with an expected valuation of 6.89 billion USD in 2024 and a significant increase to 50.0 billion USD by 2035. The market's expansion reflects a robust compound annual growth rate of 19.74 from 2025 to 2035. Among its various applications, Content Creation stands out as a critical area, enabling businesses to automate writing, art, and media generation, enhancing efficiency and creativity. Game Development is also gaining traction, leveraging generative AI to create immersive environments and characters that enhance user engagement.

In Product Design, organizations are increasingly utilizing generative algorithms to innovate and optimize designs, resulting in faster prototyping and reduced costs. Advertising further highlights the strategic importance of generative AI by personalizing marketing messages and content, which appeals to consumers on a more personal level. Overall, the Global Generative AI Market segmentation shows diverse applications that are instrumental in driving industry innovations and offering new opportunities for growth across various sectors.

Generative AI Market End Use Insights

The Generative AI Market is projected to reach a valuation of 6.89 USD Billion in 2024, with significant contributions from various end-use areas. The healthcare sector illustrates a growing focus on utilizing Generative AI for drug discovery and personalized medicine, improving patient outcomes through advanced analytics. In entertainment, Generative AI transforms content creation, enhancing user experiences with AI-generated media and interactive storytelling. The retail industry is leveraging this technology for customer personalization and supply chain optimization, ensuring tailored experiences that engage consumers.

Education is also seeing a rise in the integration of Generative AI, with personalized learning paths and automated administrative tasks enhancing educational outcomes. Each of these sectors plays a critical role in the overall market dynamics, driving innovation and adoption. The impressive growth potential in these end-use areas reflects the broader trends of digital transformation and the ongoing demand for efficiency and effectiveness, influencing overall Global Generative AI Market statistics in the coming years.

Generative AI Market Deployment Mode Insights

The Generative AI Market, projected to be valued at 6.89 billion USD in 2024, showcases a notable focus on Deployment Mode, which is primarily categorized into Cloud and On-Premises. The Cloud deployment mode has gained significant traction due to its flexibility, cost-effectiveness, and scalability, making it a preferred choice for many organizations looking to leverage Generative AI technologies. On-Premises deployments, however, continue to play a crucial role for businesses that prioritize data security and regulatory compliance, as they provide complete control over the infrastructure.

As enterprises increasingly adopt cloud-based Generative AI solutions, the market is witnessing a robust shift that signifies the growing demand for agile data processing and collaboration tools. Additionally, the growing emphasis on data privacy and security regulations worldwide is leading many organizations to carefully evaluate their deployment strategies, which presents a unique opportunity for businesses to innovate and tailor their offerings. The Global Generative AI Market segmentation related to Deployment Mode highlights the complexity and diversity in how organizations integrate AI solutions, reflecting broader trends in digital transformation and technology adoption globally.

Generative AI Market Regional Insights

The Generative AI Market is on a substantial growth trajectory, with North America dominating as the largest regional market, boasting a valuation of 3.1 USD Billion in 2024 and projected to reach 23.8 USD Billion by 2035. This market leadership is attributed to the advanced technology landscape and high adoption rates of AI solutions in various sectors. Europe follows with 1.7 USD Billion in 2024, escalating to 12.75 USD Billion in 2035, reflecting significant investments in AI Research and Development and a thriving startup ecosystem. The APAC region, valued at 1.5 USD Billion in 2024, is expected to grow to 10.9 USD Billion by 2035, driven by an increasing number of tech-savvy consumers and government support for digital transformation initiatives.

South America and the Middle East and Africa (MEA) hold smaller shares, with valuations of 0.4 USD Billion and 0.19 USD Billion in 2024, but exhibit potential for growth as these regions increasingly recognize the importance of generative AI in enhancing operational efficiencies. Together, the regional segmentation showcases the diverse landscape of the Global Generative AI Market, with varied growth factors and industry applications shaping the overall market dynamics.

Fig 3: Generative AI Market Regional Insights

Source: Primary Research, Secondary Research, MRFR Database and Analyst Review

Generative AI Market Key Players and Competitive Insights

The Global Generative AI Market is rapidly evolving, driven by advancements in artificial intelligence technologies and increasing demand across various sectors such as healthcare, finance, and entertainment. The competitive landscape in this market is characterized by a mix of established companies and emerging startups, all striving to innovate and offer unique solutions that cater to different customer needs. As industries increasingly adopt generative AI for applications like content creation, data analysis, and personalized experiences, companies are focusing on strategic partnerships, mergers and acquisitions, and ongoing research and development to maintain a competitive edge. This dynamic environment emphasizes the need for players in the market to adapt swiftly and capitalize on new opportunities while also addressing challenges such as ethical concerns and regulatory frameworks.

Amazon has established a significant presence in the Global Generative AI Market, leveraging its existing infrastructure, extensive customer base, and cloud computing resources to drive innovation. With strengths in data analytics and machine learning, Amazon is well-positioned to create generative AI solutions that enhance its service offerings. The company's focus on customization and scalability makes its generative AI products appealing to enterprises looking to implement AI-driven solutions effectively. Through its robust ecosystem, which includes cloud services, e-commerce, and digital content, Amazon continuously seeks to integrate generative AI into its operations, thereby improving user experiences and optimizing processes across various domains.IBM has made strategic moves to strengthen its foothold in the Generative AI Market, emphasizing its commitment to innovation and research in artificial intelligence.

The company offers a range of key products and services, including AI-driven analytics, machine learning platforms, and automation tools that empower businesses to harness generative AI capabilities. IBM's strengths lie in its reputation for enterprise-grade solutions, a strong intellectual property portfolio, and long-standing relationships with major corporations across industries. The company has engaged in notable mergers and acquisitions to bolster its technology offerings, integrating advanced capabilities to enhance its generative AI solutions. IBM continues to invest in research initiatives aimed at pushing the boundaries of generative AI, solidifying its role as a key player in this competitive market on a global scale.

Key Companies in the Generative AI Market Include

• Amazon

• NVIDIA

• Anthropic

• Databricks

• Adobe

• Salesforce

• Google

• Microsoft

• OpenAI

• Cohere

• GrokStyle

• Facebook

• IBM

• Stability AI

• Hugging Face

Generative AI Market Industry Developments

The Generative AI Market is witnessing significant developments with major players enhancing their strategies. Notably, in August 2023, NVIDIA announced the launch of its advanced generation AI platform, which is poised to integrate seamlessly with existing machine learning frameworks and optimize performance substantially. Microsoft has expanded its partnership with OpenAI, enhancing Azure’s AI capabilities, making strides toward democratizing access to sophisticated AI tools across various sectors. Anthropic secured $580 million in funding in June 2023, driving advancements in AI alignment and safety research. Furthermore, Adobe has incorporated generative AI features into its Creative Cloud suite, greatly enhancing user creative workflows.

Recently in September 2023, Salesforce completed the acquisition of a small AI startup to bolster its AI-driven customer relationship management tools. The Global Generative AI Market's growth trajectory is notable, with an estimated valuation increase driven by demand across industries for creative solutions and efficiency. In the past two to three years, companies like Google have also focused intensely on AI ethics, directly influencing market practices and stakeholder expectations, while competition remains fierce among tech giants in this evolving landscape.

Generative AI Market Segmentation Insights

Generative AI Market Technology Outlook

• Natural Language Processing
• Image Generation
• Speech Synthesis
• Video Generation

Generative AI Market Application Outlook

• Content Creation
• Game Development
• Product Design
• Advertising

Generative AI Market End Use Outlook

• Healthcare
• Entertainment
• Retail
• Education

Generative AI Market Deployment Mode Outlook

• Cloud
• On-Premises

Generative AI Market Regional Outlook

• North America
• Europe
• South America
• Asia Pacific
• Middle East and Africa

Generative AI Market Segmentation

• Global Generative AI, By Component Outlook (USD Billion, 2019-2032)

  • Software

  • Solution

• Global Generative AI, By Technology Outlook (USD Billion, 2019-2032)

  • Generative Adversarial Networks (GANs)

  • Transformers

  • Variational Auto-encoders (VAEs)

  • Diffusion

  • NeRFs

• Global Generative AI, By End Use Outlook (USD Billion, 2019-2032)

  • Large Language Model (LLM)

  • Content Generation

  • Code Generation

  • Video Creation

  • Image and Art Generation

  • Others

• Global Generative AI, By Industry Vertical Outlook (USD Billion, 2019-2032)

  • Manufacturing

  • IT & Telecommunication

  • Healthcare

  • Automotive & Transportation

  • Gaming

  • Academic and Research Institutions

  • BFSI

  • Aerospace & Defense

  • Others

Global Generative AI Regional Outlook (USD Billion, 2019-2032)

• North America Outlook (USD Billion, 2019-2032)

• North America Generative AI, By Component Outlook (USD Billion, 2019-2032)

  • Software

  • Solution

• North America Generative AI, By Technology Outlook (USD Billion, 2019-2032)

  • Generative Adversarial Networks (GANs)

  • Transformers

  • Variational Auto-encoders (VAEs)

  • Diffusion

  • NeRFs

• North America Generative AI, By End Use Outlook (USD Billion, 2019-2032)

  • Large Language Model (LLM)

  • Content Generation

  • Code Generation

  • Video Creation

  • Image and Art Generation

  • Others

• North America Generative AI, By Industry Vertical Outlook (USD Billion, 2019-2032)

  • Manufacturing

  • IT & Telecommunication

  • Healthcare

  • Automotive & Transportation

  • Gaming

  • Academic and Research Institutions

  • BFSI

  • Aerospace & Defense

  • Others

• US Outlook (USD Billion, 2019-2032)

• US Generative AI, By Component Outlook (USD Billion, 2019-2032)

  • Software

  • Solution

• US Generative AI, By Technology Outlook (USD Billion, 2019-2032)

  • Generative Adversarial Networks (GANs)

  • Transformers

  • Variational Auto-encoders (VAEs)

  • Diffusion

  • NeRFs

• US Generative AI, By End Use Outlook (USD Billion, 2019-2032)

  • Large Language Model (LLM)

  • Content Generation

  • Code Generation

  • Video Creation

  • Image and Art Generation

  • Others

• US Generative AI, By Industry Vertical Outlook (USD Billion, 2019-2032)

  • Manufacturing

  • IT & Telecommunication

  • Healthcare

  • Automotive & Transportation

  • Gaming

  • Academic and Research Institutions

  • BFSI

  • Aerospace & Defense

  • Others

• Canada Outlook (USD Billion, 2019-2032)

• Canada Generative AI, By Component Outlook (USD Billion, 2019-2032)

  • Software

  • Solution

• Canada Generative AI, By Technology Outlook (USD Billion, 2019-2032)

  • Generative Adversarial Networks (GANs)

  • Transformers

  • Variational Auto-encoders (VAEs)

  • Diffusion

  • NeRFs

• Canada Generative AI, By End Use Outlook (USD Billion, 2019-2032)

  • Large Language Model (LLM)

  • Content Generation

  • Code Generation

  • Video Creation

  • Image and Art Generation

  • Others

• Canada Generative AI, By Industry Vertical Outlook (USD Billion, 2019-2032)

  • Manufacturing

  • IT & Telecommunication

  • Healthcare

  • Automotive & Transportation

  • Gaming

  • Academic and Research Institutions

  • BFSI

  • Aerospace & Defense

  • Others

• Mexico Outlook (USD Billion, 2019-2032)

• Mexico Generative AI, By Component Outlook (USD Billion, 2019-2032)

  • Software

  • Solution

• Mexico Generative AI, By Technology Outlook (USD Billion, 2019-2032)

  • Generative Adversarial Networks (GANs)

  • Transformers

  • Variational Auto-encoders (VAEs)

  • Diffusion

  • NeRFs

• Mexico Generative AI, By End Use Outlook (USD Billion, 2019-2032)

  • Large Language Model (LLM)

  • Content Generation

  • Code Generation

  • Video Creation

  • Image and Art Generation

  • Others

• Mexico Generative AI, By Industry Vertical Outlook (USD Billion, 2019-2032)

  • Manufacturing

  • IT & Telecommunication

  • Healthcare

  • Automotive & Transportation

  • Gaming

  • Academic and Research Institutions

  • BFSI

  • Aerospace & Defense

  • Others

• Europe Outlook (USD Billion, 2019-2032)

• Europe Generative AI, By Component Outlook (USD Billion, 2019-2032)

  • Software

  • Solution

• Europe Generative AI, By Technology Outlook (USD Billion, 2019-2032)

  • Generative Adversarial Networks (GANs)

  • Transformers

  • Variational Auto-encoders (VAEs)

  • Diffusion

  • NeRFs

• Europe Generative AI, By End Use Outlook (USD Billion, 2019-2032)

  • Large Language Model (LLM)

  • Content Generation

  • Code Generation

  • Video Creation

  • Image and Art Generation

  • Others

• Europe Generative AI, By Industry Vertical Outlook (USD Billion, 2019-2032)

  • Manufacturing

  • IT & Telecommunication

  • Healthcare

  • Automotive & Transportation

  • Gaming

  • Academic and Research Institutions

  • BFSI

  • Aerospace & Defense

  • Others

• Germany Outlook (USD Billion, 2019-2032)

• Germany Generative AI, By Component Outlook (USD Billion, 2019-2032)

  • Software

  • Solution

• Germany Generative AI, By Technology Outlook (USD Billion, 2019-2032)

  • Generative Adversarial Networks (GANs)

  • Transformers

  • Variational Auto-encoders (VAEs)

  • Diffusion

  • NeRFs

• Germany Generative AI, By End Use Outlook (USD Billion, 2019-2032)

  • Large Language Model (LLM)

  • Content Generation

  • Code Generation

  • Video Creation

  • Image and Art Generation

  • Others

• Germany Generative AI, By Industry Vertical Outlook (USD Billion, 2019-2032)

  • Manufacturing

  • IT & Telecommunication

  • Healthcare

  • Automotive & Transportation

  • Gaming

  • Academic and Research Institutions

  • BFSI

  • Aerospace & Defense

  • Others

• France Outlook (USD Billion, 2019-2032)

• France Generative AI, By Component Outlook (USD Billion, 2019-2032)

  • Software

  • Solution

• France Generative AI, By Technology Outlook (USD Billion, 2019-2032)

  • Generative Adversarial Networks (GANs)

  • Transformers

  • Variational Auto-encoders (VAEs)

  • Diffusion

  • NeRFs

• France Generative AI, By End Use Outlook (USD Billion, 2019-2032)

  • Large Language Model (LLM)

  • Content Generation

  • Code Generation

  • Video Creation

  • Image and Art Generation

  • Others

• France Generative AI, By Industry Vertical Outlook (USD Billion, 2019-2032)

  • Manufacturing

  • IT & Telecommunication

  • Healthcare

  • Automotive & Transportation

  • Gaming

  • Academic and Research Institutions

  • BFSI

  • Aerospace & Defense

  • Others

• UK Outlook (USD Billion, 2019-2032)

• UK Generative AI, By Component Outlook (USD Billion, 2019-2032)

  • Software

  • Solution

• UK Generative AI, By Technology Outlook (USD Billion, 2019-2032)

  • Generative Adversarial Networks (GANs)

  • Transformers

  • Variational Auto-encoders (VAEs)

  • Diffusion

  • NeRFs

• UK Generative AI, By End Use Outlook (USD Billion, 2019-2032)

  • Large Language Model (LLM)

  • Content Generation

  • Code Generation

  • Video Creation

  • Image and Art Generation

  • Others

• UK Generative AI, By Industry Vertical Outlook (USD Billion, 2019-2032)

  • Manufacturing

  • IT & Telecommunication

  • Healthcare

  • Automotive & Transportation

  • Gaming

  • Academic and Research Institutions

  • BFSI

  • Aerospace & Defense

  • Others

• Italy Outlook (USD Billion, 2019-2032)

• Italy Generative AI, By Component Outlook (USD Billion, 2019-2032)

  • Software

  • Solution

• Italy Generative AI, By Technology Outlook (USD Billion, 2019-2032)

  • Generative Adversarial Networks (GANs)

  • Transformers

  • Variational Auto-encoders (VAEs)

  • Diffusion

  • NeRFs

• Italy Generative AI, By End Use Outlook (USD Billion, 2019-2032)

  • Large Language Model (LLM)

  • Content Generation

  • Code Generation

  • Video Creation

  • Image and Art Generation

  • Others

• Italy Generative AI, By Industry Vertical Outlook (USD Billion, 2019-2032)

  • Manufacturing

  • IT & Telecommunication

  • Healthcare

  • Automotive & Transportation

  • Gaming

  • Academic and Research Institutions

  • BFSI

  • Aerospace & Defense

  • Others

• Rest of Europe Outlook (USD Billion, 2019-2032)

• Rest of Europe Generative AI, By Component Outlook (USD Billion, 2019-2032)

  • Software

  • Solution

• Rest of Europe Generative AI, By Technology Outlook (USD Billion, 2019-2032)

  • Generative Adversarial Networks (GANs)

  • Transformers

  • Variational Auto-encoders (VAEs)

  • Diffusion

  • NeRFs

• Rest of Europe Generative AI, By End Use Outlook (USD Billion, 2019-2032)

  • Large Language Model (LLM)

  • Content Generation

  • Code Generation

  • Video Creation

  • Image and Art Generation

  • Others

• Rest of Europe Generative AI, By Industry Vertical Outlook (USD Billion, 2019-2032)

  • Manufacturing

  • IT & Telecommunication

  • Healthcare

  • Automotive & Transportation

  • Gaming

  • Academic and Research Institutions

  • BFSI

  • Aerospace & Defense

  • Others

• Asia-Pacific Outlook (USD Billion, 2019-2032)

• Asia-Pacific Generative AI, By Component Outlook (USD Billion, 2019-2032)

  • Software

  • Solution

• Asia-Pacific Generative AI, By Technology Outlook (USD Billion, 2019-2032)

  • Generative Adversarial Networks (GANs)

  • Transformers

  • Variational Auto-encoders (VAEs)

  • Diffusion

  • NeRFs

• Asia-Pacific Generative AI, By End Use Outlook (USD Billion, 2019-2032)

  • Large Language Model (LLM)

  • Content Generation

  • Code Generation

  • Video Creation

  • Image and Art Generation

  • Others

• Asia-Pacific Generative AI, By Industry Vertical Outlook (USD Billion, 2019-2032)

  • Manufacturing

  • IT & Telecommunication

  • Healthcare

  • Automotive & Transportation

  • Gaming

  • Academic and Research Institutions

  • BFSI

  • Aerospace & Defense

  • Others

• China Outlook (USD Billion, 2019-2032)

• China Generative AI, By Component Outlook (USD Billion, 2019-2032)

  • Software

  • Solution

• China Generative AI, By Technology Outlook (USD Billion, 2019-2032)

  • Generative Adversarial Networks (GANs)

  • Transformers

  • Variational Auto-encoders (VAEs)

  • Diffusion

  • NeRFs

• China Generative AI, By End Use Outlook (USD Billion, 2019-2032)

  • Large Language Model (LLM)

  • Content Generation

  • Code Generation

  • Video Creation

  • Image and Art Generation

  • Others

• China Generative AI, By Industry Vertical Outlook (USD Billion, 2019-2032)

  • Manufacturing

  • IT & Telecommunication

  • Healthcare

  • Automotive & Transportation

  • Gaming

  • Academic and Research Institutions

  • BFSI

  • Aerospace & Defense

  • Others

• India Outlook (USD Billion, 2019-2032)

• India Generative AI, By Component Outlook (USD Billion, 2019-2032)

  • Software

  • Solution

• India Generative AI, By Technology Outlook (USD Billion, 2019-2032)

  • Generative Adversarial Networks (GANs)

  • Transformers

  • Variational Auto-encoders (VAEs)

  • Diffusion

  • NeRFs

• India Generative AI, By End Use Outlook (USD Billion, 2019-2032)

  • Large Language Model (LLM)

  • Content Generation

  • Code Generation

  • Video Creation

  • Image and Art Generation

  • Others

• India Generative AI, By Industry Vertical Outlook (USD Billion, 2019-2032)

  • Manufacturing

  • IT & Telecommunication

  • Healthcare

  • Automotive & Transportation

  • Gaming

  • Academic and Research Institutions

  • BFSI

  • Aerospace & Defense

  • Others

• Japan Outlook (USD Billion, 2019-2032)

• Japan Generative AI, By Component Outlook (USD Billion, 2019-2032)

  • Software

  • Solution

• Japan Generative AI, By Technology Outlook (USD Billion, 2019-2032)

  • Generative Adversarial Networks (GANs)

  • Transformers

  • Variational Auto-encoders (VAEs)

  • Diffusion

  • NeRFs

• Japan Generative AI, By End Use Outlook (USD Billion, 2019-2032)

  • Large Language Model (LLM)

  • Content Generation

  • Code Generation

  • Video Creation

  • Image and Art Generation

  • Others

• Japan Generative AI, By Industry Vertical Outlook (USD Billion, 2019-2032)

  • Manufacturing

  • IT & Telecommunication

  • Healthcare

  • Automotive & Transportation

  • Gaming

  • Academic and Research Institutions

  • BFSI

  • Aerospace & Defense

  • Others

• South Korea Outlook (USD Billion, 2019-2032)

• South Korea Generative AI, By Component Outlook (USD Billion, 2019-2032)

  • Software

  • Solution

• South Korea Generative AI, By Technology Outlook (USD Billion, 2019-2032)

  • Generative Adversarial Networks (GANs)

  • Transformers

  • Variational Auto-encoders (VAEs)

  • Diffusion

  • NeRFs

• South Korea Generative AI, By End Use Outlook (USD Billion, 2019-2032)

  • Large Language Model (LLM)

  • Content Generation

  • Code Generation

  • Video Creation

  • Image and Art Generation

  • Others

• South Korea Generative AI, By Industry Vertical Outlook (USD Billion, 2019-2032)

  • Manufacturing

  • IT & Telecommunication

  • Healthcare

  • Automotive & Transportation

  • Gaming

  • Academic and Research Institutions

  • BFSI

  • Aerospace & Defense

  • Others

• Australia Outlook (USD Billion, 2019-2032)

• Australia Generative AI, By Component Outlook (USD Billion, 2019-2032)

  • Software

  • Solution

• Australia Generative AI, By Technology Outlook (USD Billion, 2019-2032)

  • Generative Adversarial Networks (GANs)

  • Transformers

  • Variational Auto-encoders (VAEs)

  • Diffusion

  • NeRFs

• Australia Generative AI, By End Use Outlook (USD Billion, 2019-2032)

  • Large Language Model (LLM)

  • Content Generation

  • Code Generation

  • Video Creation

  • Image and Art Generation

  • Others

• Australia Generative AI, By Industry Vertical Outlook (USD Billion, 2019-2032)

  • Manufacturing

  • IT & Telecommunication

  • Healthcare

  • Automotive & Transportation

  • Gaming

  • Academic and Research Institutions

  • BFSI

  • Aerospace & Defense

  • Others

• Rest of Asia-Pacific Outlook (USD Billion, 2019-2032)

• Rest of Asia-Pacific Generative AI, By Component Outlook (USD Billion, 2019-2032)

  • Software

  • Solution

• Rest of Asia-Pacific Generative AI, By Technology Outlook (USD Billion, 2019-2032)

  • Generative Adversarial Networks (GANs)

  • Transformers

  • Variational Auto-encoders (VAEs)

  • Diffusion

  • NeRFs

• Rest of Asia-Pacific Generative AI, By End Use Outlook (USD Billion, 2019-2032)

  • Large Language Model (LLM)

  • Content Generation

  • Code Generation

  • Video Creation

  • Image and Art Generation

  • Others

• Rest of Asia-Pacific Generative AI, By Industry Vertical Outlook (USD Billion, 2019-2032)

  • Manufacturing

  • IT & Telecommunication

  • Healthcare

  • Automotive & Transportation

  • Gaming

  • Academic and Research Institutions

  • BFSI

  • Aerospace & Defense

  • Others

• Rest of the World Outlook (USD Billion, 2019-2032)

• Rest of the World Generative AI, By Component Outlook (USD Billion, 2019-2032)

  • Software

  • Solution

• Rest of the World Generative AI, By Technology Outlook (USD Billion, 2019-2032)

  • Generative Adversarial Networks (GANs)

  • Transformers

  • Variational Auto-encoders (VAEs)

  • Diffusion

  • NeRFs

• Rest of the World Generative AI, By End Use Outlook (USD Billion, 2019-2032)

  • Large Language Model (LLM)

  • Content Generation

  • Code Generation

  • Video Creation

  • Image and Art Generation

  • Others

• Rest of the World Generative AI, By Industry Vertical Outlook (USD Billion, 2019-2032)

  • Manufacturing

  • IT & Telecommunication

  • Healthcare

  • Automotive & Transportation

  • Gaming

  • Academic and Research Institutions

  • BFSI

  • Aerospace & Defense

  • Others

  • Middle East & Africa Outlook (USD Billion, 2019-2032)

  • Middle East & Africa Generative AI, By Component Outlook (USD Billion, 2019-2032)

    • Software

    • Solution

  • Middle East & Africa Generative AI, By Technology Outlook (USD Billion, 2019-2032)

    • Generative Adversarial Networks (GANs)

    • Transformers

    • Variational Auto-encoders (VAEs)

    • Diffusion

    • NeRFs

  • Middle East & Africa Generative AI, By End Use Outlook (USD Billion, 2019-2032)

    • Large Language Model (LLM)

    • Content Generation

    • Code Generation

    • Video Creation

    • Image and Art Generation

    • Others

  • Middle East & Africa Generative AI, By Industry Vertical Outlook (USD Billion, 2019-2032)

    • Manufacturing

    • IT & Telecommunication

    • Healthcare

    • Automotive & Transportation

    • Gaming

    • Academic and Research Institutions

    • BFSI

    • Aerospace & Defense

    • Others

  • South America Outlook (USD Billion, 2019-2032)

  • South America Generative AI, By Component Outlook (USD Billion, 2019-2032)

    • Software

    • Solution

  • South America Generative AI, By Technology Outlook (USD Billion, 2019-2032)

    • Generative Adversarial Networks (GANs)

    • Transformers

    • Variational Auto-encoders (VAEs)

    • Diffusion

    • NeRFs

  • South America Generative AI, By End Use Outlook (USD Billion, 2019-2032)

    • Large Language Model (LLM)

    • Content Generation

    • Code Generation

    • Video Creation

    • Image and Art Generation

    • Others

  • South America Generative AI, By Industry Vertical Outlook (USD Billion, 2019-2032)

    • Manufacturing

    • IT & Telecommunication

    • Healthcare

    • Automotive & Transportation

    • Gaming

    • Academic and Research Institutions

    • BFSI

    • Aerospace & Defense

    • Others