인공지능(AI) 영상 생성 시장 : 제공, 모델 유형, 전개, 용도, 조직 규모별 - 시장 규모, 업계 역학, 기회 분석 및 예측(2026-2035년)

The global AI video generation market is experiencing remarkable growth as organizations increasingly adopt artificial intelligence to transform digital content creation across industries. The market, estimated at approximately USD 800.8 million in 2025, is projected to reach around USD 9,528.4 million by 2035, registering a robust compound annual growth rate (CAGR) of 28.1% during the forecast period from 2026 to 2035.

A key driver of market expansion is the growing popularity of short-form digital content across social media platforms and online marketing channels. Businesses, influencers, media companies, and content creators are producing an increasing volume of videos to engage audiences, promote products, and strengthen brand visibility. AI-powered video generation technologies enable users to transform simple text prompts into visually compelling videos within minutes, significantly reducing the time and resources traditionally required for scripting, filming, editing, and post-production.

Noteworthy Market Developments

The AI video generation market is highly competitive, with several technology companies leading innovation through advancements in generative artificial intelligence, video synthesis, and multimodal foundation models. OpenAI has established itself as one of the leading innovators in AI video generation through its Sora model, which has attracted significant attention for its ability to generate highly realistic videos from text prompts.

Runway is recognized as one of the pioneering companies in the AI video generation industry, offering professional-grade tools for filmmakers, content creators, marketing agencies, and media organizations. Kuaishou Technology has strengthened its position in the global market through the development of its Kling AI video generation model.

Luma AI has gained widespread recognition for making advanced AI video generation more accessible to a broad range of users through its Dream Machine platform. Google has emerged as a major participant in the AI video generation market through the development of its Veo video generation model.

Core Growth Drivers

The rapid growth of short-form video content has become a major factor driving the expansion of the global AI video generation market. The increasing popularity of short, engaging video formats across digital platforms has fundamentally changed the way individuals, brands, and organizations create and distribute content. Businesses are now under constant pressure to publish fresh, visually appealing videos at a much higher frequency to capture audience attention, improve engagement, and remain competitive in an increasingly crowded digital landscape. As a result, AI-powered video generation tools have become essential for producing high-quality content efficiently and at scale.

Emerging Opportunity Trends

Hyper-personalization at scale is emerging as a significant opportunity for growth in the AI video generation market. As organizations increasingly prioritize personalized customer engagement, artificial intelligence is enabling the creation of highly customized video content that can be tailored to individual audiences with unprecedented speed and efficiency. Unlike traditional video production, which often requires substantial time, creative resources, and production costs, AI-powered platforms can automatically generate multiple versions of the same video to address the preferences, behaviors, and characteristics of different customer segments. This capability is helping businesses strengthen audience engagement while improving the effectiveness of digital communication strategies.

Barriers to Optimization

Technical and quality limitations remain significant challenges that may hamper the growth of the AI video generation market despite rapid advancements in generative artificial intelligence. Although modern AI models have achieved remarkable improvements in visual realism, motion synthesis, and content generation, they continue to face difficulties in producing consistently accurate and high-quality videos for complex real-world scenarios. These technical constraints can limit adoption in professional applications where precision, reliability, and visual consistency are critical requirements.

Detailed Market Segmentation

By model type, text-to-video models accounted for the largest share of the global AI video generation market throughout 2025 and have continued to maintain their dominant position well into 2026. Their widespread adoption is driven by the increasing demand for intuitive content creation tools that enable users to generate high-quality videos quickly and efficiently. Businesses, content creators, marketers, educators, and media professionals are increasingly relying on text-to-video technologies to accelerate production workflows while reducing the time, cost, and technical complexity associated with traditional video creation methods.

By deployment, the cloud segment accounted for the largest share of the global market during 2025 and has continued to maintain its leading position throughout 2026. The widespread adoption of cloud-based deployment models is primarily driven by their ability to provide scalable computing resources, flexible infrastructure, and efficient access to advanced artificial intelligence capabilities. As organizations increasingly integrate AI-powered video generation into their business operations, cloud platforms have become the preferred deployment option due to their ability to support high-performance workloads without requiring significant on-premises infrastructure investments.

By organization size, large enterprises accounted for the largest share of the global market during 2025, maintaining their leadership position through extensive investments in advanced artificial intelligence technologies and digital transformation initiatives. These organizations have been at the forefront of adopting AI-powered video generation solutions to enhance operational efficiency, streamline content creation, and strengthen customer engagement across multiple business functions. Their ability to invest in innovative technologies has enabled them to establish a significant competitive advantage, a trend that is expected to continue throughout 2026 and beyond.

By application, the marketing and advertising segment accounted for the largest share of the global market, establishing itself as the dominant application area across all major end-use categories. This leadership position continued to strengthen throughout 2025 and has remained a defining trend in the evolving market landscape during 2026. The widespread adoption of advanced AI-powered content creation technologies by businesses, advertising agencies, and digital media companies has significantly increased the use of these solutions for producing high-quality visual content at scale.

Segment Breakdown

• By Offering
• Solutions/Software
• Services

By Model Type

• Text-to-Video
• Image-to-Video
• Video-to-Video/Editing

By Deployment

• Cloud
• On-Premises

By Application

• Marketing & Advertising
• Social Media Content
• Film & Entertainment
• Training & E-learning
• Enterprise Communication

By Organization Size

• Large Enterprises
• SMEs
• Individual Creators

By Region

• North America
• The U.S.
• Canada
• Mexico
• Europe
• Western Europe
• The UK
• Germany
• France
• Italy
• Spain
• Rest of Western Europe
• Eastern Europe
• Poland
• Russia
• Rest of Eastern Europe
• Asia Pacific
• China
• India
• Japan
• Australia & New Zealand
• South Korea
• ASEAN
• Rest of Asia Pacific
• Middle East & Africa (MEA)
• Saudi Arabia
• South Africa
• UAE
• Rest of MEA
• South America
• Argentina
• Brazil
• Rest of South America

Geography Breakdown

• North America commands the largest share of the global market, supported by its advanced technological ecosystem, strong research capabilities, and substantial investments in artificial intelligence innovation. The region has established itself as a global center for the development and commercialization of next-generation AI technologies, benefiting from a highly developed digital infrastructure, a skilled workforce, and close collaboration between technology companies, research institutions, and investors.
• The United States continues to serve as the primary growth engine within the region, supported by its concentration of world-class artificial intelligence research laboratories and innovation hubs. A strong culture of technological entrepreneurship, combined with continuous investment in research and development, has accelerated the advancement of generative AI technologies.

Leading Market Participants

• Alphabet, Inc.
• Canva
• Colossyan Inc.
• DeepBrain AI Ltd.
• D-ID AI Video (De-Identification Ltd.)
• GoAnimate, Inc. (VYOND)
• HeyGen
• Moovly
• Runway AI, Inc.
• Steve AI
• Synthesia Limited
• Veed Limited
• Other Prominent Players

Table of Content

Chapter 1. Executive Summary: Global AI Video Generation Market

Chapter 2. Research Methodology & Research Framework

• 2.1. Research Objective
• 2.2. Product Overview
• 2.3. Market Segmentation
• 2.4. Qualitative Research
  • 2.4.1. Primary & Secondary Sources
• 2.5. Quantitative Research
  • 2.5.1. Primary & Secondary Sources
• 2.6. Breakdown of Primary Research Respondents, By Region
• 2.7. Assumption for Study
• 2.8. Market Size Estimation
• 2.9. Data Triangulation

Chapter 3. Global AI Video Generation Market Overview

• 3.1. Industry Value Chain Analysis
  • 3.1.1. Foundation Model & Generative-Video Model Developers
  • 3.1.2. GPU Cloud & Compute Infrastructure Providers
  • 3.1.3. AI Video Generation Platform & Editing-Tool Vendors
  • 3.1.4. Creative Agencies, Integrators & API / Plugin Ecosystems
  • 3.1.5. End Users (Enterprises, SMEs, Individual Creators)
• 3.2. Industry Outlook
  • 3.2.1. Overview of the Global AI Video Generation & Generative-Media Industry
  • 3.2.2. Text-to-Video Diffusion Models, 4K Realism & Multimodal Audio Sync
  • 3.2.3. Copyright, Deepfake Governance & Brand-Safety Considerations
• 3.3. PESTLE Analysis
• 3.4. Porter's Five Forces Analysis
  • 3.4.1. Bargaining Power of Suppliers
  • 3.4.2. Bargaining Power of Buyers
  • 3.4.3. Threat of Substitutes
  • 3.4.4. Threat of New Entrants
  • 3.4.5. Degree of Competition
• 3.5. Market Growth and Outlook
  • 3.5.1. Market Revenue Estimates and Forecast (US$ Mn), 2020-2035
  • 3.5.2. Price Trend Analysis, By Offering

Chapter 4. Global AI Video Generation Market Analysis

• 4.1. Competition Dashboard
  • 4.1.1. Market Concentration Rate
  • 4.1.2. Company Market Share Analysis (Value %), 2025
  • 4.1.3. Competitor Mapping & Benchmarking

Chapter 5. Global AI Video Generation Market Analysis

• 5.1. Market Dynamics and Trends
  • 5.1.1. Growth Drivers
  • 5.1.2. Restraints
  • 5.1.3. Opportunity
  • 5.1.4. Key Trends
• 5.2. Market Size and Forecast, 2020-2035 (US$ Mn)
  • 5.2.1. By Offering
    • 5.2.1.1. Key Insights
      • 5.2.1.1.1. Solutions/Software
      • 5.2.1.1.2. Services
  • 5.2.2. By Model Type
    • 5.2.2.1. Key Insights
      • 5.2.2.1.1. Text-to-Video
      • 5.2.2.1.2. Image-to-Video
      • 5.2.2.1.3. Video-to-Video/Editing
  • 5.2.3. By Deployment
    • 5.2.3.1. Key Insights
      • 5.2.3.1.1. Cloud
      • 5.2.3.1.2. On-Premises
  • 5.2.4. By Application
    • 5.2.4.1. Key Insights
      • 5.2.4.1.1. Marketing & Advertising
      • 5.2.4.1.2. Social Media Content
      • 5.2.4.1.3. Film & Entertainment
      • 5.2.4.1.4. Training & E-learning
      • 5.2.4.1.5. Enterprise Communication
  • 5.2.5. By Organization Size
    • 5.2.5.1. Key Insights
      • 5.2.5.1.1. Large Enterprises
      • 5.2.5.1.2. SMEs
      • 5.2.5.1.3. Individual Creators
  • 5.2.6. By Region
    • 5.2.6.1. Key Insights
      • 5.2.6.1.1. North America
        • 5.2.6.1.1.1. The U.S.
        • 5.2.6.1.1.2. Canada
        • 5.2.6.1.1.3. Mexico
      • 5.2.6.1.2. Europe
        • 5.2.6.1.2.1. Western Europe
          • 5.2.6.1.2.1.1. The UK
          • 5.2.6.1.2.1.2. Germany
          • 5.2.6.1.2.1.3. France
          • 5.2.6.1.2.1.4. Italy
          • 5.2.6.1.2.1.5. Spain
          • 5.2.6.1.2.1.6. Rest of Western Europe
        • 5.2.6.1.2.2. Eastern Europe
          • 5.2.6.1.2.2.1. Poland
          • 5.2.6.1.2.2.2. Russia
          • 5.2.6.1.2.2.3. Rest of Eastern Europe
      • 5.2.6.1.3. Asia Pacific
        • 5.2.6.1.3.1. China
        • 5.2.6.1.3.2. India
        • 5.2.6.1.3.3. Japan
        • 5.2.6.1.3.4. Australia & New Zealand
        • 5.2.6.1.3.5. South Korea
        • 5.2.6.1.3.6. ASEAN
        • 5.2.6.1.3.7. Rest of Asia Pacific
      • 5.2.6.1.4. Middle East & Africa (MEA)
        • 5.2.6.1.4.1. Saudi Arabia
        • 5.2.6.1.4.2. South Africa
        • 5.2.6.1.4.3. UAE
        • 5.2.6.1.4.4. Rest of MEA
      • 5.2.6.1.5. South America
        • 5.2.6.1.5.1. Argentina
        • 5.2.6.1.5.2. Brazil
        • 5.2.6.1.5.3. Rest of South America

Chapter 6. North America Market Analysis

• 6.1. Market Dynamics and Trends
  • 6.1.1. Growth Drivers
  • 6.1.2. Restraints
  • 6.1.3. Opportunity
  • 6.1.4. Key Trends
• 6.2. Market Size and Forecast, 2020-2035 (US$ Mn)
  • 6.2.1. Key Insights
    • 6.2.1.1. By Offering
    • 6.2.1.2. By Model Type
    • 6.2.1.3. By Deployment
    • 6.2.1.4. By Application
    • 6.2.1.5. By Organization Size
    • 6.2.1.6. By Country

Chapter 7. Europe Market Analysis

• 7.1. Market Dynamics and Trends
  • 7.1.1. Growth Drivers
  • 7.1.2. Restraints
  • 7.1.3. Opportunity
  • 7.1.4. Key Trends
• 7.2. Market Size and Forecast, 2020-2035 (US$ Mn)
  • 7.2.1. Key Insights
    • 7.2.1.1. By Offering
    • 7.2.1.2. By Model Type
    • 7.2.1.3. By Deployment
    • 7.2.1.4. By Application
    • 7.2.1.5. By Organization Size
    • 7.2.1.6. By Country

Chapter 8. Asia Pacific Market Analysis

• 8.1. Market Dynamics and Trends
  • 8.1.1. Growth Drivers
  • 8.1.2. Restraints
  • 8.1.3. Opportunity
  • 8.1.4. Key Trends
• 8.2. Market Size and Forecast, 2020-2035 (US$ Mn)
  • 8.2.1. Key Insights
    • 8.2.1.1. By Offering
    • 8.2.1.2. By Model Type
    • 8.2.1.3. By Deployment
    • 8.2.1.4. By Application
    • 8.2.1.5. By Organization Size
    • 8.2.1.6. By Country

Chapter 9. Middle East & Africa Market Analysis

• 9.1. Market Dynamics and Trends
  • 9.1.1. Growth Drivers
  • 9.1.2. Restraints
  • 9.1.3. Opportunity
  • 9.1.4. Key Trends
• 9.2. Market Size and Forecast, 2020-2035 (US$ Mn)
  • 9.2.1. Key Insights
    • 9.2.1.1. By Offering
    • 9.2.1.2. By Model Type
    • 9.2.1.3. By Deployment
    • 9.2.1.4. By Application
    • 9.2.1.5. By Organization Size
    • 9.2.1.6. By Country

Chapter 10. South America Market Analysis

• 10.1. Market Dynamics and Trends
  • 10.1.1. Growth Drivers
  • 10.1.2. Restraints
  • 10.1.3. Opportunity
  • 10.1.4. Key Trends
• 10.2. Market Size and Forecast, 2020-2035 (US$ Mn)
  • 10.2.1. Key Insights
    • 10.2.1.1. By Offering
    • 10.2.1.2. By Model Type
    • 10.2.1.3. By Deployment
    • 10.2.1.4. By Application
    • 10.2.1.5. By Organization Size
    • 10.2.1.6. By Country

Chapter 11. Company Profile (Company Overview, Financial Matrix, Key Product landscape, Key Personnel, Key Competitors, Contact Address, and Business Strategy Outlook)

• 11.1. Alphabet, Inc.
• 11.2. Canva
• 11.3. Colossyan Inc.
• 11.4. DeepBrain AI Ltd.
• 11.5. D-ID AI Video (De-Identification Ltd.)
• 11.6. GoAnimate, Inc. (VYOND)
• 11.7. HeyGen
• 11.8. Moovly
• 11.9. Runway AI, Inc.
• 11.10. Steve AI
• 11.11. Synthesia Limited
• 11.12. Veed Limited
• 11.13. Other Prominent Players

Chapter 12. Annexure

• 12.1. List of Secondary Sources
• 12.2. Key Country Markets- Macro Economic Outlook/Indicators