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市場調查報告書
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2094035

全球人工智慧影片生成市場：按產品、模型類型、部署方式、應用領域和企業規模分類－市場規模、產業動態、機會分析及預測（2026-2035 年）

Global AI Video Generation Market By Offering, Model Type, Deployment, Application, Organization Size - Market Size, Industry Dynamics, Opportunity Analysis and Forecast For 2026-2035
出版日期: | 出版商: Astute Analytica | 英文 290 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

隨著各行各業的組織擴大採用人工智慧來變革數位內容創作，全球人工智慧影片生成市場正經歷顯著成長。據估計，該市場在2025年約為8.008億美元，預計到2035年將達到約95.284億美元，在2026年至2035年的預測期內，複合年成長率將達到28.1%。

市場擴張的主要驅動力是社交媒體平台和線上行銷管道上短影片內容的日益普及。企業、網紅、媒體公司和內容創作者都在製作越來越多的影片，以吸引受眾注意力、推廣產品並提升品牌知名度。人工智慧影片生成技術使用戶能夠在幾分鐘內將簡單的文字提示轉化為引人入勝的影片，從而顯著減少傳統腳本編寫、拍攝、剪輯和後期製作所需的時間和資源。

顯著的市場趨勢

人工智慧影片生成市場競爭異常激烈，多家科技公司透過推動生成式人工智慧、影片合成和多模態平台模型等方面的創新來推動市場發展。 OpenAI憑藉其「Sora」模型，已成為人工智慧影片生成領域的領先創新者之一。該模型能夠根據文字提示生成極其逼真的影片，因此備受關注。

Runway被公認為人工智慧影片產生產業的先驅企業之一，為電影製作人、影像創作者、行銷代理商和媒體組織提供專業工具。快手科技正透過開發其人工智慧影片生成模型「Kling」來鞏固其在全球市場的地位。

Luma AI 因其 Dream Machine 平台而廣受認可，該平台使廣大用戶能夠輕鬆使用先進的 AI影片生成技術。谷歌憑藉其 Veo影片生成模型，已成為 AI影片生成市場的主要參與者。

主要成長要素

短影片內容的快速成長是推動全球人工智慧影片生成市場擴張的主要動力。短小精悍、引人入勝的視訊格式在數位平台上的日益普及，從根本上改變了個人、品牌和組織創建和分發內容的方式。如今，企業面臨著前所未有的壓力，需要以前所未有的頻率發布新鮮、視覺效果出色的影片，才能吸引受眾注意力、提升用戶參與度，並在競爭日益激烈的數位環境中保持競爭力。因此，人工智慧影片生成工具已成為高效、大規模生產高品質內容的必備工具。

新機會的趨勢

大規模超個人化正成為人工智慧影片生成市場的重要成長機會。隨著企業越來越重視個人化客戶參與，人工智慧正以前所未有的速度和效率，為每位觀眾量身打造高度個人化的影片內容。與耗時耗力、創新資源和製作成本高昂的傳統影片製作不同，人工智慧平台可以自動產生同一影片的多個版本，以滿足不同客戶群的偏好、行為和特徵。這種能力使企業能夠增強與受眾的互動，同時提升其數位傳播策略的有效性。

最佳化障礙

儘管生成式人工智慧發展迅猛，但技術和品質方面的限制仍然是阻礙人工智慧影片生成市場成長的重大挑戰。雖然最新的人工智慧模型在視覺真實感、運動合成和內容生成方面取得了顯著進步，但它們仍然難以針對複雜的現實場景持續生成準確、高品質的影片。這些技術限制可能會限制它們在專業應用中的普及，因為在這些應用中，準確性、可靠性和視覺一致性至關重要。

目錄

第1章摘要整理：全球人工智慧影片生成市場

第2章：調查方法與研究框架

  • 研究目標
  • 產品概述
  • 市場區隔
  • 定性研究
    • 一手和二手資訊
  • 量化研究
    • 一手和二手資訊
  • 主要調查受訪者組成：按地區分類
  • 本研究的前提
  • 市場規模估算
  • 數據三角測量

第3章：全球人工智慧影片生成市場概覽

  • 產業價值鏈分析
  • 產業展望
    • 全球人工智慧影片生成與生成媒體產業概覽
    • 文字轉影片的擴散模型、4K 級真實感和多模態音訊同步。
    • 版權、深度造假管治與品牌安全考量
  • PESTLE分析
  • 波特五力分析
  • 市場成長及前景
    • 2020-2035年市場收入估算與預測
    • 價格趨勢分析：透過報價

第4章：全球人工智慧影片生成市場分析

  • 競爭對手儀表板
    • 市場集中度
    • 企業市場占有率分析，2025 年
    • 競爭對手分析與基準測試

第5章：全球人工智慧影片生成市場分析

  • 市場動態和趨勢
    • 成長要素
    • 抑制因子
    • 機會
    • 主要趨勢
  • 市場規模及預測，2020-2035年
    • 報價
      • 關鍵見解
        • 解決方案軟體
        • 服務
    • 按型號
      • 關鍵見解
        • Text-to-Video
        • Image-to-Video
        • 影片轉影片編輯
    • 不同的發展
      • 關鍵見解
        • 雲
        • 現場
    • 用途別
      • 關鍵見解
        • 行銷和廣告
        • 社群媒體內容 社群媒體內容
        • 電影和娛樂
        • 培訓和數位學習
        • 企業通訊
    • 按組織規模
      • 關鍵見解
        • 大公司
        • SME
        • 個人創作者
    • 按地區
      • 關鍵見解
        • 北美洲
          • 美國
          • 加拿大
          • 墨西哥
        • 歐洲
          • 西歐
            • 英國
            • 德國
            • 法國
            • 義大利
            • 西班牙
            • 其他西歐國家
          • 東歐
            • 波蘭
            • 俄羅斯
            • 其他東歐國家
        • 亞太地區
          • 中國
          • 印度
          • 日本
          • 澳洲和紐西蘭
          • 韓國
          • ASEAN
          • 其他亞太國家
        • 中東和非洲（MEA）
          • 沙烏地阿拉伯
          • 南非
          • UAE
          • 其他中東和非洲國家
        • 南美洲
          • 阿根廷
          • 巴西
          • 其他南美國家

第6章：北美市場分析

第7章：歐洲市場分析

第8章：亞太市場分析

第9章：中東和非洲市場分析

第10章：南美市場分析

第11章：公司簡介

  • 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
  • 其他主要公司

第12章附錄

簡介目錄
Product Code: AA07261866

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