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시장보고서
상품코드
1949342
생성형 AI 시장 규모, 점유율, 동향 및 성장 분석 보고서(2026-2034년)Global Generative AI Market Size, Share, Trends & Growth Analysis Report 2026-2034 |
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생성형 AI 시장 규모는 2025년 346억 4,000만 달러에서 2026-2034년에 CAGR 34.31%로 성장하며, 2034년에는 4,926억 7,000만 달러에 달할 것으로 예측되고 있습니다.
생성형 AI 시장은 머신러닝과 자연 언어 처리의 발전에 힘입어 변화의 시대를 맞이하고 있습니다. 조직이 컨텐츠 제작, 제품 디자인, 의사결정 프로세스 강화에 있으며, 생성 모델의 잠재력을 점점 더 많이 인식함에 따라 이러한 기술에 대한 수요가 급증할 것으로 예측됩니다. 컨텐츠 생성 자동화부터 개인화된 마케팅 전략 개발까지 생성형 AI는 비즈니스 운영 방식을 혁신하고 전례 없는 수준의 효율성과 창의성을 달성할 수 있게 해줍니다.
의료, 금융, 엔터테인먼트 등 다양한 분야에서 생성형 AI는 복잡한 문제를 해결하고 혁신적인 솔루션을 창출하는 데 활용되고 있습니다. 예를 들어 신약 개발 분야에서 AI 알고리즘은 분자 간 상호작용을 시뮬레이션하여 연구 과정을 크게 가속화합니다. 마찬가지로 크리에이티브 산업에서 생성형 AI 툴은 아티스트와 디자이너의 새로운 창의적 접근을 가능하게 하고, 전통적 예술 형태의 경계를 넓히고 있습니다. 이러한 범용성은 투자를 유치하고, 기술 기업과 업계 리더 간의 협력을 촉진하여 시장 성장을 더욱 가속화하고 있습니다.
기술이 성숙해짐에 따라 생성형 AI를 둘러싼 윤리적 고려가 점점 더 중요해질 것입니다. 데이터 프라이버시, 지적재산권, 악용 가능성 등의 이슈는 견고한 거버넌스 체계를 구축해야 합니다. 윤리적 AI를 우선시하는 기업은 리스크를 줄일 수 있을 뿐만 아니라 브랜드 평가와 소비자 신뢰도도 높일 수 있습니다. 생성형 AI 시장 전망은 밝고, 산업의 재정의와 새로운 혁신 패러다임 창출의 가능성을 가지고 있으며, 궁극적으로 보다 지능화되고 상호 연결된 세상을 만드는 데 기여할 것입니다.
목차
제1장 서론
제2장 개요
제3장 시장 변수, 동향, 프레임워크
제4장 세계의 생성형 AI 시장 : 컴포넌트별
제5장 세계의 생성형 AI 시장 : 기술별
제6장 세계의 생성형 AI 시장 : 최종사용자별
제7장 세계의 생성형 AI 시장 : 지역별
제8장 경쟁 구도
제9장 기업 개요
KSAThe Generative AI Market size is expected to reach USD 492.67 Billion in 2034 from USD 34.64 Billion (2025) growing at a CAGR of 34.31% during 2026-2034.
The Generative AI market is on the cusp of a transformative era, driven by advancements in machine learning and natural language processing. As organizations increasingly recognize the potential of generative models to create content, design products, and enhance decision-making processes, the demand for these technologies is set to surge. From automating content generation to developing personalized marketing strategies, generative AI is revolutionizing how businesses operate, enabling them to achieve unprecedented levels of efficiency and creativity.
In various sectors, including healthcare, finance, and entertainment, generative AI is being harnessed to solve complex problems and generate innovative solutions. For instance, in drug discovery, AI algorithms can simulate molecular interactions, significantly accelerating the research process. Similarly, in the creative industries, generative AI tools are empowering artists and designers to explore new creative avenues, pushing the boundaries of traditional art forms. This versatility is attracting investments and fostering collaborations between tech companies and industry leaders, further propelling market growth.
As the technology matures, ethical considerations surrounding generative AI will become increasingly important. Issues such as data privacy, intellectual property rights, and the potential for misuse will necessitate the establishment of robust governance frameworks. Companies that prioritize ethical AI practices will not only mitigate risks but also enhance their brand reputation and consumer trust. The future of the generative AI market is bright, with the potential to redefine industries and create new paradigms of innovation, ultimately shaping a more intelligent and interconnected world.
Our reports are meticulously crafted to provide clients with comprehensive and actionable insights into various industries and markets. Each report encompasses several critical components to ensure a thorough understanding of the market landscape:
Market Overview: A detailed introduction to the market, including definitions, classifications, and an overview of the industry's current state.
Market Dynamics: In-depth analysis of key drivers, restraints, opportunities, and challenges influencing market growth. This section examines factors such as technological advancements, regulatory changes, and emerging trends.
Segmentation Analysis: Breakdown of the market into distinct segments based on criteria like product type, application, end-user, and geography. This analysis highlights the performance and potential of each segment.
Competitive Landscape: Comprehensive assessment of major market players, including their market share, product portfolio, strategic initiatives, and financial performance. This section provides insights into the competitive dynamics and key strategies adopted by leading companies.
Market Forecast: Projections of market size and growth trends over a specified period, based on historical data and current market conditions. This includes quantitative analyses and graphical representations to illustrate future market trajectories.
Regional Analysis: Evaluation of market performance across different geographical regions, identifying key markets and regional trends. This helps in understanding regional market dynamics and opportunities.
Emerging Trends and Opportunities: Identification of current and emerging market trends, technological innovations, and potential areas for investment. This section offers insights into future market developments and growth prospects.
MARKET SEGMENTATION
By Component
- Software
- Service
By Technology
- Generative Adversarial Networks (GANs)
- Transformer
- Variational Autoencoder (VAE)
- Diffusion Networks
- Retrieval Augmented Generation
By End User
- Media and Entertainment
- BFSI
- IT and Telecom
- Healthcare
- Automotive and Transportation
- Others
COMPANIES PROFILED
- Google LLC, DID, Rephraseai, Genie AI Ltd, Synthesia, IBM Corporation, Amazon Web Services Inc, Mostly AI Inc, Adobe, Microsoft Corporation
We can customise the report as per your requriements
TABLE OF CONTENTS
Chapter 1. PREFACE
- 1.1. Market Segmentation & Scope
- 1.2. Market Definition
- 1.3. Information Procurement
- 1.3.1 Information Analysis
- 1.3.2 Market Formulation & Data Visualization
- 1.3.3 Data Validation & Publishing
- 1.4. Research Scope and Assumptions
- 1.4.1 List of Data Sources
Chapter 2. EXECUTIVE SUMMARY
- 2.1. Market Snapshot
- 2.2. Segmental Outlook
- 2.3. Competitive Outlook
Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK
- 3.1. Market Lineage Outlook
- 3.2. Penetration & Growth Prospect Mapping
- 3.3. Value Chain Analysis
- 3.4. Regulatory Framework
- 3.4.1 Standards & Compliance
- 3.4.2 Regulatory Impact Analysis
- 3.5. Market Dynamics
- 3.5.1 Market Drivers
- 3.5.2 Market Restraints
- 3.5.3 Market Opportunities
- 3.5.4 Market Challenges
- 3.6. Porter's Five Forces Analysis
- 3.7. PESTLE Analysis
Chapter 4. GLOBAL GENERATIVE AI MARKET: BY COMPONENT 2022-2034 (USD MN)
- 4.1. Market Analysis, Insights and Forecast Component
- 4.2. Software Estimates and Forecasts By Regions 2022-2034 (USD MN)
- 4.3. Service Estimates and Forecasts By Regions 2022-2034 (USD MN)
Chapter 5. GLOBAL GENERATIVE AI MARKET: BY TECHNOLOGY 2022-2034 (USD MN)
- 5.1. Market Analysis, Insights and Forecast Technology
- 5.2. Generative Adversarial Networks (GANs) Estimates and Forecasts By Regions 2022-2034 (USD MN)
- 5.3. Transformer Estimates and Forecasts By Regions 2022-2034 (USD MN)
- 5.4. Variational Autoencoder (VAE) Estimates and Forecasts By Regions 2022-2034 (USD MN)
- 5.5. Diffusion Networks Estimates and Forecasts By Regions 2022-2034 (USD MN)
- 5.6. Retrieval Augmented Generation Estimates and Forecasts By Regions 2022-2034 (USD MN)
Chapter 6. GLOBAL GENERATIVE AI MARKET: BY END USER 2022-2034 (USD MN)
- 6.1. Market Analysis, Insights and Forecast End User
- 6.2. Media and Entertainment Estimates and Forecasts By Regions 2022-2034 (USD MN)
- 6.3. BFSI Estimates and Forecasts By Regions 2022-2034 (USD MN)
- 6.4. IT and Telecom Estimates and Forecasts By Regions 2022-2034 (USD MN)
- 6.5. Healthcare Estimates and Forecasts By Regions 2022-2034 (USD MN)
- 6.6. Automotive and Transportation Estimates and Forecasts By Regions 2022-2034 (USD MN)
- 6.7. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)
Chapter 7. GLOBAL GENERATIVE AI MARKET: BY REGION 2022-2034(USD MN)
- 7.1. Regional Outlook
- 7.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
- 7.2.1 By Component
- 7.2.2 By Technology
- 7.2.3 By End User
- 7.2.4 United States
- 7.2.5 Canada
- 7.2.6 Mexico
- 7.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
- 7.3.1 By Component
- 7.3.2 By Technology
- 7.3.3 By End User
- 7.3.4 United Kingdom
- 7.3.5 France
- 7.3.6 Germany
- 7.3.7 Italy
- 7.3.8 Russia
- 7.3.9 Rest Of Europe
- 7.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
- 7.4.1 By Component
- 7.4.2 By Technology
- 7.4.3 By End User
- 7.4.4 India
- 7.4.5 Japan
- 7.4.6 South Korea
- 7.4.7 Australia
- 7.4.8 South East Asia
- 7.4.9 Rest Of Asia Pacific
- 7.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
- 7.5.1 By Component
- 7.5.2 By Technology
- 7.5.3 By End User
- 7.5.4 Brazil
- 7.5.5 Argentina
- 7.5.6 Peru
- 7.5.7 Chile
- 7.5.8 South East Asia
- 7.5.9 Rest of Latin America
- 7.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
- 7.6.1 By Component
- 7.6.2 By Technology
- 7.6.3 By End User
- 7.6.4 Saudi Arabia
- 7.6.5 UAE
- 7.6.6 Israel
- 7.6.7 South Africa
- 7.6.8 Rest of the Middle East And Africa
Chapter 8. COMPETITIVE LANDSCAPE
- 8.1. Recent Developments
- 8.2. Company Categorization
- 8.3. Supply Chain & Channel Partners (based on availability)
- 8.4. Market Share & Positioning Analysis (based on availability)
- 8.5. Vendor Landscape (based on availability)
- 8.6. Strategy Mapping
Chapter 9. COMPANY PROFILES OF GLOBAL GENERATIVE AI INDUSTRY
- 9.1. Top Companies Market Share Analysis
- 9.2. Company Profiles
- 9.2.1 Google LLC
- 9.2.2 D-ID
- 9.2.3 Rephrase.Ai
- 9.2.4 Genie AI Ltd
- 9.2.5 Synthesia
- 9.2.6 IBM Corporation
- 9.2.7 Amazon Web Services Inc
- 9.2.8 Mostly AI Inc
- 9.2.9 Adobe
- 9.2.10 Microsoft Corporation
