세계의 생성형 AI 시장 : 컴포넌트별, 기술별, 최종 사용자별, 지역별 분석, 규모, 동향, 예측(-2030년)

The global generative AI market in 2024 was valued at US$20.21 billion. Generative AI, a subset of artificial intelligence techniques, focuses on creating data or content, often in the form of images, text, or other media, that is original and not directly derived from existing examples. Unlike traditional AI, which primarily analyzes and processes data, generative AI generates new data based on patterns and trends learned from existing datasets. This technology employs advanced algorithms, including neural networks, to generate outputs that mimic human creativity and imagination. Generative AI finds applications in various fields, including art, design, content creation, drug discovery, and natural language processing, where its ability to generate novel and diverse outputs contributes to innovation and problem-solving.

The continuous growth of the global generative AI market can be attributed to several key factors. Firstly, the proliferation of virtual and augmented reality (VR/AR) technologies has propelled the demand for generative AI. These technologies rely heavily on realistic and immersive content, driving the need for advanced AI models capable of generating life-like visuals and interactive experiences. Deployment of Large Language Models (LLMs) has emerged as another crucial driver. LLMs, such as GPT-3, have revolutionized natural language processing tasks, enabling the generation of human-like text, translation, and summarization. This adoption fuels the demand for generative AI solutions tailored to language-related applications. Moreover, the rising demand for creative and personalized content across various industries, including marketing, entertainment, and e-commerce, acts as a significant growth driver. Furthermore, the healthcare and life sciences sectors are increasingly leveraging generative AI for various applications, such as drug discovery, medical imaging analysis, and patient data synthesis. These advancements contribute to improved diagnosis, treatment, and healthcare outcomes. Advancements in deep learning and neural networks play a fundamental role in driving generative AI market growth. Overall, the convergence of these factors fosters a conducive environment for the expansion of the generative AI market, facilitating innovation, and driving adoption across industries, and unlocking new opportunities for growth and development. The market is expected to grow at a CAGR of approx. 37% during the forecasted period of 2025-2030.

Market Segmentation Analysis:

By Component: The report provides bifurcation of the global generative AI market into two segments namely, Software and Services. Software Generative AI currently dominates the market as it encompasses a range of AI software tools, platforms, and applications tailored for generating content such as images, text, and music. These software solutions enable businesses to streamline processes, enhance creativity, and drive innovation. On the other hand, Services Generative AI is poised for rapid growth as businesses increasingly seek specialized assistance in implementing and leveraging generative AI technologies effectively. Cloud-based generative AI services are expected to gain popularity as they provide scalability, flexibility, and cost-effectiveness, fueling the segment's growth. For instance, in December 2023, Mistral AI, an artificial intelligence solutions provider, partnered with Google Cloud, optimized proprietary language models, and distributed both its open weights on Google Cloud's AI-optimized infrastructure. As the demand for generative AI continues to rise, the services segment is expected to expand significantly to meet the growing need for expertise and support in this field.

By Technology: The report provides bifurcation of the global generative AI market into four segments namely, Transformer, Generative Adversarial Networks, Variational Auto-encoder, and Diffusion Networks. The Transformer segment currently dominates the market due to its versatility and widespread adoption across various applications. Transformers, based on attention mechanisms, excel in tasks such as natural language processing, image recognition, and sequence generation. Their ability to capture long-range dependencies and model complex relationships has made them indispensable in numerous industries, including healthcare, finance, and entertainment. Conversely, the Diffusion Networks segment is anticipated to experience fastest growth owing to its ability to generate high-quality images and text samples. Diffusion networks employ a diffusion process to generate outputs that closely match the distribution of training data, enabling the creation of realistic and diverse content. This capability makes them increasingly sought after in applications such as image synthesis, text generation, and creative content production, thus driving the growth in the forecasted period.

By End User: The report provides the bifurcation of the global generative AI market into six segments based on end-user, namely, Media & Entertainment, IT & Telecommunication, Healthcare, BFSI, Automotive & Transportation, and Others. The Media & Entertainment segment held the highest share in the market and BFSI is expected to be the fastest-growing segment in the forecasted period. Generative AI in Media & Entertainment drives content creation, production, and enhancement, meeting the demand for immersive experiences and personalized storytelling. This technology's adoption is fueled by the sector's quest for high-quality content and engaging experiences to remain competitive amid evolving consumer preferences. Conversely, the BFSI sector is embracing generative AI rapidly due to digital transformation initiatives and increasing demands for fraud detection, risk management, personalized customer experiences, and regulatory compliance. With countries like the UK, Spain, and Italy leading AI innovation, BFSI organizations are leveraging generative AI's advanced capabilities in data analysis and automation to enhance operational efficiency and deliver tailored services. As the BFSI sector prioritizes digital transformation to address complex challenges, the adoption of generative AI is expected to soar in the coming years.

By Region: The report bifurcates the global generative AI market into five regions namely, North America, Europe, Asia Pacific, Middle East and Africa, and Latin America. North America emerges as the largest region in the generative AI market, showcasing a promising landscape shaped by countries like the US, Canada, and Mexico, each with distinctive elements influencing their generative AI sector. Industry giants like OpenAI, Google, and Microsoft have significantly contributed to the region's market, driving substantial investments in research and development to push the boundaries of AI capabilities. Both venture capital firms and tech giants are injecting billions into generative AI technology development, fostering innovation and market expansion. This influx of capital has led to the creation of cutting-edge AI platforms, widely adopted across industries such as healthcare, finance, and entertainment. Moreover, the presence of leading market players and technology organizations, alongside a pool of experts, is anticipated to propel regional market growth, with the US expected to exhibit the fastest CAGR, fueled by increased adoption of deep learning and machine learning across diverse industries, including SMEs.

On the other hand, Asia Pacific emerges as the fastest-growing region in the generative AI sector, driven by a significant surge in AI technology adoption across various industries. With countries like China, Japan, India, and South Korea leading AI innovation, the region spearheads progress in generative AI technologies. The availability of vast data sets, particularly in language processing and computer vision, is crucial for training and improving GenAI models, with Asia Pacific's large and diverse population providing a rich data source. China dominates the industry, backed by significant investments in AI research, infrastructure, and talent development, with tech giants Alibaba, Tencent, and Baidu leading innovation across various sectors. Japan, renowned for technological prowess, hosts leading AI research institutions and companies, while India's GenAI market is poised for significant growth, driven by skill development, research advancements, and government support initiatives. For instance, In July 2023, Singapore's digital government agencies partnered with Google Cloud to develop GenAI capabilities in the public and private sectors.

Global Generative AI Market Dynamics:

Growth Drivers: The global generative AI market growth is predicted to be supported by numerous growth drivers such expansion of virtual and augmented reality, deployment of LLM, increasing demand for creative and personalized content, enhanced computing power and increased availability of data, growing applications in healthcare and life sciences, advancements in deep learning and neural networks, etc. Generative AI technologies play a pivotal role in creating immersive and interactive experiences within VR/AR environments, enabling realistic simulations, virtual training programs, and enhanced entertainment content. As the demand for VR/AR applications grows across various industries, including gaming, education, healthcare, and retail, the need for advanced generative AI solutions intensifies to meet the requirements of creating lifelike virtual worlds and experiences. Furthermore, the deployment of Large Language Models (LLM) contributes significantly to market growth. LLMs, such as GPT-3, leverage generative AI to produce human-like text, enabling applications in natural language processing, conversational AI, and content generation. With increasing demand for intelligent language-based applications and services, LLMs drive the adoption of generative AI technologies, fueling market expansion and innovation in text generation and understanding capabilities.

Challenges: However, the market growth would be negatively impacted by various challenges such as deepfakes and misinformation, shortage of skilled personnel, etc. Deepfake technology leverages generative AI algorithms to create highly realistic but fabricated content, including videos, images, and audio recordings. These can be used maliciously to spread false information, manipulate public opinion, and undermine trust in digital media. Failure to effectively address this challenge could hinder the growth of the generative AI market by eroding trust in AI-generated content and undermining confidence in digital media platforms.

Trends: The market is projected to grow at a fast pace during the forecasted period, due to market trends like integration of generative AI with robotics and automation, democratization of AI tools and platforms, growing integration with cloud computing, generative AI for scientific research, continued innovation in generative adversarial networks, emphasis on explainable AI and interpretability, automation and efficiency in enterprise workloads, focus on ethical AI, chatbot-powered customer service, etc. The integration of generative AI with robotics and automation enables the creation of intelligent systems capable of autonomously generating and adapting to new solutions in real-time. By leveraging generative AI, robots and automated systems can enhance their capabilities, such as pattern recognition, decision-making, and problem-solving, leading to more efficient and adaptable operations across various industries, from manufacturing to healthcare. Another key trend fueling market expansion is the democratization of AI tools and platforms, making advanced AI capabilities accessible to a broader range of users. These trends signify a shift towards more autonomous and inclusive AI-driven ecosystems, poised to revolutionize traditional workflows and accelerate innovation.

Competitive Landscape and Recent Developments:

The global generative AI market is highly fragmented, characterized by the presence of numerous small and medium-sized companies competing for market share, and the presence of a substantial number of regional market players with limited business offerings and customer base.

The key players in the global generative AI market are:

Amazon.Com, Inc. (Amazon Web Services, Inc.)

Microsoft Corp.

Alphabet Inc.

IBM

Salesforce, Inc.

Nvidia Corporation

Accenture

Cognizant Technology Solutions Corporation

Capgemini

Adobe Inc.

Infosys

SAP SE

Synthesis AI

D-ID

OpenAI Inc.

Some of the strategies among key players in the market are new launch, mergers, acquisitions, and collaborations. For instance, on May 21, 2025, OpenAI announced the acquisition of io, an AI-hardware startup founded by Jony Ive, for US$6.5 billion, marking its largest acquisition to date and signaling a move toward integrated AI hardware-software solutions. Similarly, on May 19, 2025, Microsoft announced about amplifying its Azure AI ecosystem with new coding agents and partnerships (OpenAI, Nvidia, Elon Musk's xAI), aiming to generate over US$13 billion in annual AI revenue.

Table of Contents

1. Executive Summary

2. Introduction

• 2.1 Generative AI: An Overview
  • 2.1.1 Introduction to Generative AI
  • 2.1.2 Applications of Generative AI
• 2.2 Generative AI Segmentation: An Overview
  • 2.2.1 Generative AI Segmentation

3. Global Market Analysis

• 3.1 Global Generative AI Market: An Analysis
  • 3.1.1 Global Generative AI Market: An Overview
  • 3.1.2 Global Generative AI Market by Value
  • 3.1.3 Global Generative AI Market by Component (Software and, Services)
  • 3.1.4 Global Generative AI Market by Technology (Transformer, Generative Adversarial Networks, Variational Auto-encoder, and Diffusion Networks)
  • 3.1.5 Global Generative AI Market by End User (Media & Entertainment, IT & Telecommunication, Healthcare, BFSI, Automotive & Transportation and Others)
  • 3.1.6 Global Generative AI Market by Region (North America, Europe, Asia Pacific, Middle East and Africa, and Latin America)
• 3.2 Global Generative AI Market: Component Analysis
  • 3.2.1 Global Generative AI Market by Component: An Overview
  • 3.2.2 Global Software Generative AI Market by Value
  • 3.2.3 Global Services Generative AI Market by Value
• 3.3 Global Generative AI Market: Technology Analysis
  • 3.3.1 Global Generative AI Market by Technology: An Overview
  • 3.3.2 Global Transformer Generative AI Market by Value
  • 3.3.3 Global Generative Adversarial Networks (GAN'S) Generative AI Market by Value
  • 3.3.4 Global Variational Auto-encoder Generative AI Market by Value
  • 3.3.5 Global Diffusion Networks Generative AI Market by Value
• 3.4 Global Generative AI Market: End User Analysis
  • 3.4.1 Global Generative AI Market by End User: An Overview
  • 3.4.2 Global Media & Entertainment Generative AI Market by Value
  • 3.4.3 Global IT & Telecommunication Generative AI Market by Value
  • 3.4.4 Global Healthcare Generative AI Market by Value
  • 3.4.5 Global BFSI Generative AI Market by Value
  • 3.4.6 Global Automotive & Transportation Generative AI Market by Value
  • 3.4.7 Global Others Generative AI Market by Value

4. Regional Market Analysis

• 4.1 North America Generative AI Market: An Analysis
  • 4.1.1 North America Generative AI Market: An Overview
  • 4.1.2 North America Generative AI Market by Value
  • 4.1.3 North America Generative AI Market by Region
  • 4.1.4 The US Generative AI Market by Value
  • 4.1.5 The US Generative AI Market by Technology
  • 4.1.6 Canada Generative AI Market by Value
  • 4.1.7 Mexico Generative AI Market by Value
• 4.2 Europe Generative AI Market: An Analysis
  • 4.2.1 Europe Generative AI Market: An Overview
  • 4.2.2 Europe Generative AI Market by Value
  • 4.2.3 Europe Generative AI Market by Region
  • 4.2.4 Germany Generative AI Market by Value
  • 4.2.5 The UK Generative AI Market by Value
  • 4.2.6 The UK Generative AI Market by Technology
  • 4.2.7 France Generative AI Market by Value
  • 4.2.8 Italy Generative AI Market by Value
  • 4.2.9 Spain Generative AI Market by Value
  • 4.2.10 Rest of Europe Generative AI Market by Value
• 4.3 Asia Pacific Generative AI Market: An Analysis
  • 4.3.1 Asia Pacific Generative AI Market: An Overview
  • 4.3.2 Asia Pacific Generative AI Market by Value
  • 4.3.3 Asia Pacific Generative AI Market by Region
  • 4.3.4 China Generative AI Market by Value
  • 4.3.5 China Generative AI Market by Technology
  • 4.3.6 Japan Generative AI Market by Value
  • 4.3.7 India Generative AI Market by Value
  • 4.3.8 South Korea Generative AI Market by Value
  • 4.3.9 Rest of Asia Pacific Generative AI Market by Value
• 4.4 Middle East and Africa Generative AI Market: An Analysis
  • 4.4.1 Middle East and Africa Generative AI Market: An Overview
  • 4.4.2 Middle East and Africa Generative AI Market by Value
• 4.5 Latin America Generative AI Market: An Analysis
  • 4.5.1 Latin America Generative AI Market: An Overview
  • 4.5.2 Latin America Generative AI Market by Value

5. Market Dynamics

• 5.1 Growth Drivers
  • 5.1.1 Expansion of Virtual and Augmented Reality
  • 5.1.2 Deployment Of LLM
  • 5.1.3 Increasing Demand for Creative and Personalized Content
  • 5.1.4 Enhanced Computing Power and Increased Availability of Data
  • 5.1.5 Growing Applications in Healthcare and Life Sciences
  • 5.1.6 Advancements in Deep Learning and Neural Networks
• 5.2 Challenges
  • 5.2.1 Deepfakes and Misinformation
  • 5.2.2 Shortage of Skilled Personnel
• 5.3 Market Trends
  • 5.3.1 Integration of Generative AI with Robotics and Automation
  • 5.3.2 Democratization of AI Tools and Platforms
  • 5.3.3 Growing Integration With Cloud Computing
  • 5.3.4 Generative AI For Scientific Research
  • 5.3.5 Continued Innovation in Generative Adversarial Networks
  • 5.3.6 Emphasis on Explainable AI and Interpretability
  • 5.3.7 Automation and Efficiency in Enterprise Workloads
  • 5.3.8 Focus on Ethical AI
  • 5.3.9 Chatbot-powered Customer Service

6. Competitive Landscape

• 6.1 Global Generative AI Market Players: Competitive Landscape
• 6.2 Global Generative AI Market Players: Industry Development
• 6.3 Global Generative AI Market players: Software & Application Value Chain
• 6.4 Global Generative AI Market players: Infrastructural Competition Landscape
• 6.5 Global Generative AI Market Players by Application Monetization Trend
• 6.6 Global Generative AI Market Players by Models Released/Announced

7. Company Profiles

• 7.1 Amazon.Com, Inc. (Amazon Web Services, Inc.)
  • 7.1.1 Business Overview
  • 7.1.2 Operating Segments
  • 7.1.3 Business Strategy
• 7.2 Microsoft Corp.
  • 7.2.1 Business Overview
  • 7.2.2 Operating Segments
  • 7.2.3 Business Strategy
• 7.3 Alphabet Inc.
  • 7.3.1 Business Overview
  • 7.3.2 Operating Segments
  • 7.3.3 Business Strategy
• 7.4 IBM
  • 7.4.1 Business Overview
  • 7.4.2 Operating Segments
  • 7.4.3 Business Strategy
• 7.5 Salesforce, Inc.
  • 7.5.1 Business Overview
  • 7.5.2 Operating Regions
  • 7.5.3 Business Strategy
• 7.6 Nvidia Corporation
  • 7.6.1 Business Overview
  • 7.6.2 Operating Segments
  • 7.6.3 Business Strategy
• 7.7 Accenture PLC
  • 7.7.1 Business Overview
  • 7.7.2 Operating Segments
  • 7.7.3 Business Strategy
• 7.8 Cognizant Technology Solutions Corporation
  • 7.8.1 Business Overview
  • 7.8.2 Operating Segment
  • 7.8.3 Business Strategy
• 7.9 Capgemini
  • 7.9.1 Business Overview
  • 7.9.2 Operating Business
  • 7.9.3 Business Strategy
• 7.10 Adobe Inc
  • 7.10.1 Business Overview
  • 7.10.2 Operating Segments
  • 7.10.3 Business Strategy
• 7.11 Infosys
  • 7.11.1 Business Overview
  • 7.11.2 Operating Segments
  • 7.11.3 Business Strategy
• 7.12 SAP SE
  • 7.12.1 Business Overview
  • 7.12.2 Business Strategy
• 7.13 Synthesis AI
  • 7.13.1 Business Overview
  • 7.13.2 Business Strategy
• 7.14 D-ID
  • 7.14.1 Business Overview
  • 7.14.2 Business Strategy
• 7.15 OpenAI Inc.
  • 7.15.1 Business Overview