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Global AI Video Generator (AIGC) Market Strategic Research Report

Global AI Video Generator (AIGC) Market Strategic Research R…
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Market Research Reports
Strategic Research Report
Global AI Video Generator (AIGC) Market
$1.31B2025
44.1%CAGR
2032Forecast
Market Research Reports · Global
Market Research Reports Intelligence Series

By Type: I2V (Image-to-Video), T2V (Text-to-Video), V2V (Video-to-Video), Avatar / Talking Head, Other

By Application: Advertising Media, E-Commerce, Culture and Entertainment, BFSI, Other

Regional Forecast: Asia Pacific, Latin America, MEA, Europe, North America

Key Players: OpenAI (Sora), Midjourney, Runway, Oika, Loom, Pika, Stability AI, Luma, Haiper, Heygen, MoonValley, Tiktok, Kuaishou (Kling AI), LiblibAI, MiniMax (Hailuo AI), Youyan AI, Baidu, Alibaba, BDB Digital, YizhenTV, JingDong, PixVerse, Wondershare, Meitu, Vidu AI, iFlytech, KreadoAI, Virdyn

Region: Global
Formats: PDF, Excel, Word & PowerPoint
Base year: 2025 · forecast to 2032
Length: 168 pages
Market size 2025
$1.31B
Billion USD
Forecast CAGR
44.1%
2025-2032
Forecast 2032
$16.9B
Projected
Regiões
5
Asia Pacific · Latin America · MEA · Europe · North America

Visão geral

Scope of the Report

The global AI Video Generator (AIGC) market size is predicted to grow from US$ 1,313 million in 2025 to US$ 21,369 million in 2032; it is expected to grow at a CAGR of 44.1% from 2026 to 2032.

AI Video Generator is professional software tools that utilize artificial intelligence algorithms and multimodal generation technology to automatically create or assist in editing video content. These tools provide intelligent support, covering video editing, special effects generation, script-to-video conversion, style transfer, and multitrack editing, achieving highly efficient automated production from raw materials to final output. AIGC's application in video generation is rapidly developing, with its key advantages lying in text-to-video, image-to-video, and video continuation. These capabilities enable natural language-driven scene creation, dynamic animation from static images, and seamless expansion of existing clips. AIGC, combined with intelligent editing tools, lowers the production threshold and simplifies the entire workflow from content generation to final output. The core value of AIGC video creation software lies in significantly enhancing creators' production capabilities, lowering the barrier to content creation, and expanding the expressive and innovative potential of video content.

Market Drivers:

1. Growing Market Demand

Explosive Growth in Content Creation Demand: The demand for video content from industries such as short videos, live streaming, advertising, and film and television continues to grow. Traditional creation methods struggle to meet the high-frequency, diverse production demands. AIGC platforms can quickly generate high-quality videos, lowering the barrier to entry and improving production efficiency.

Personalized and Customized Demand: Users increasingly demand personalized video content. AIGC can generate customized videos based on user-input text, images, and other information, meeting the needs of different scenarios and audiences.

2. Cost Advantages

Reduced Creation Costs: Compared to traditional video production, AIGC platforms reduce costs associated with manpower, equipment, and facilities. For example, AI-generated virtual scenes and characters can replace real-world shooting, shortening production cycles and reducing costs.

Large-Scale Production: AIGC platforms support batch video generation, suitable for large-scale content production, such as e-commerce product displays and social media marketing, further reducing unit costs.

3. Expanding Application Scenarios

Entertainment and Social Interaction: Applications such as virtual idols, AI-generated short videos, and interactive videos enrich entertainment and social experiences, attracting a large number of users.

Education and Training: AIGC can generate vivid instructional videos, simulated scenarios, etc., enhancing educational effectiveness and learning experience.

Business Marketing: Brands can use AIGC to generate personalized advertisements, product demonstration videos, etc., improving marketing effectiveness and user conversion rates.

This report presents a comprehensive overview of the global AI Video Generator (AIGC) market, covering market size and forecast, segmentation by product type and application, competitive landscape, leading players and regional and country-level outlook.

Segment by Type

  • I2V (Image-to-Video)
  • T2V (Text-to-Video)
  • V2V (Video-to-Video)
  • Avatar / Talking Head
  • Other

Segment by Marketing Method

  • Direct Sales
  • Distribution

Segment by Application

  • ToC
  • ToB

Segment by Application

  • Advertising Media
  • E-Commerce
  • Culture and Entertainment
  • BFSI
  • Other

Who Can Use This Report?

This report is written for decision-makers who need a clear, data-backed view of the global AI Video Generator (AIGC) market:

  • Manufacturers, suppliers and solution providers benchmarking their position and planning product, capacity and go-to-market strategy
  • Distributors, channel partners and end users in Advertising Media, E-Commerce, Culture and Entertainment evaluating demand and sourcing options
  • Investors, financial analysts and consultants assessing growth opportunities, competitive dynamics and M&A potential
  • Government agencies, industry associations and research institutions tracking industry developments and policy impact

Market snapshot

Global AI Video Generator (AIGC) Market Strategic Research Report snapshot, 2025–2032

Source: Market Research Reports
Market size CAGR 44.1%
Regional growth momentum
Market share by segment
Key metrics
Base value
$1.31B
2025
Forecast
$16.9B
2032
CAGR
44.1%
2025–2032
Regiões
5
global
Key companies
OpenAI (Sora)MidjourneyRunwayOikaLoomPikaStability AILuma
© MarketResearchReports.comDisclaimer: The actual data may vary in the final report which undergoes verification check post order confirmation.

Segments covered in this report

By Type
I2V (Image-to-Video)T2V (Text-to-Video)V2V (Video-to-Video)Avatar / Talking HeadOther
By Application
Advertising MediaE-CommerceCulture and EntertainmentBFSIOther

Table of contents

Click a chapter to expand
01Executive Summary
02Industry Overview & Forecast
  • 2.1.1 Market Definition and Scope
  • 2.1.2 Market Size and Growth Forecast
  • 2.1.3 Volume Analysis
  • 2.1.4 Segment Outlook by Type
  • 2.1.5 Segment Outlook by Application
  • 2.1.6 Regional Outlook
  • 2.1.7 Structural Developments Shaping the Forecast
  • 2.1.8 Forecast Risks and Sensitivities
03Market Segmentation by Type
  • 3.1 Market Segmentation by Type
  • 3.1.1 Market by Type Overview
  • 3.1.2 I2V (Image-to-Video)
  • 3.1.3 T2V (Text-to-Video)
  • 3.1.4 V2V (Video-to-Video)
  • 3.1.5 Avatar / Talking Head
  • 3.1.6 Other
  • 3.1.7 Volume Analysis
04Market Segmentation by Application
  • 4.1 Market Segmentation by Application
  • 4.1.1 Market by Application Overview
  • 4.1.2 Advertising Media
  • 4.1.3 E-Commerce
  • 4.1.4 Culture and Entertainment
  • 4.1.5 BFSI
  • 4.1.6 Other
  • 4.1.7 Volume Analysis
05Regional Market Forecast
  • Asia Pacific
  • North America
  • Europe
  • Middle East & Africa
  • Latin America
06Country-Level Market Forecast
  • 6.1 Asia Pacific
  • 6.1.1 China
  • 6.1.2 Japan
  • 6.1.3 Korea
  • 6.1.4 Southeast Asia
  • 6.1.5 India
  • 6.1.6 Australia
  • 6.1.7 Rest of Asia Pacific
  • 6.2 North America
  • 6.2.1 United States
  • 6.2.2 Canada
  • 6.2.3 Mexico
  • 6.2.4 Rest of North America
  • 6.3 Europe
  • 6.3.1 Germany
  • 6.3.2 France
  • 6.3.3 UK
  • 6.3.4 Italy
  • 6.3.5 Russia
  • 6.3.6 Rest of Europe
  • 6.4 Middle East & Africa
  • 6.4.1 Egypt
  • 6.4.2 South Africa
  • 6.4.3 Israel
  • 6.4.4 Turkey
  • 6.4.5 GCC Countries
  • 6.4.6 Rest of Middle East & Africa
  • 6.5 Latin America
  • 6.5.1 Brazil
  • 6.5.2 Rest of Latin America
07Growth Drivers & Inhibitors
  • 7.1 Growth Drivers & Inhibitors
  • 7.1.1 Section Overview
  • 7.1.2 Growth Drivers
  • 7.1.3 Growth Inhibitors
  • 7.1.4 Driver and Inhibitor Impact Assessment
  • 7.1.5 Analyst Perspective
08Key Company Profiles
  • 8.1 OpenAI (Sora)
  • 8.1.1 Company Overview
  • 8.1.2 Key Products & Segments
  • 8.1.3 Financial Performance (2023–2025)
  • 8.1.4 Business Strategy
  • 8.1.5 SWOT Analysis
  • 8.1.6 Strategic Implications (2026–2032)
  • 8.2 Midjourney
  • 8.2.1 Company Overview
  • 8.2.2 Key Products & Segments
  • 8.2.3 Financial Performance (2023–2025)
  • 8.2.4 Business Strategy
  • 8.2.5 SWOT Analysis
  • 8.2.6 Strategic Implications (2026–2032)
  • 8.3 Runway
  • 8.3.1 Company Overview
  • 8.3.2 Key Products & Segments
  • 8.3.3 Financial Performance (2023–2025)
  • 8.3.4 Business Strategy
  • 8.3.5 SWOT Analysis
  • 8.3.6 Strategic Implications (2026–2032)
  • 8.4 Oika
  • 8.4.1 Company Overview
  • 8.4.2 Key Products & Segments
  • 8.4.3 Financial Performance (2023–2025)
  • 8.4.4 Business Strategy
  • 8.4.5 SWOT Analysis
  • 8.4.6 Strategic Implications (2026–2032)
  • 8.5 Loom
  • 8.5.1 Company Overview
  • 8.5.2 Key Products & Segments
  • 8.5.3 Financial Performance (2023–2025)
  • 8.5.4 Business Strategy
  • 8.5.5 SWOT Analysis
  • 8.5.6 Strategic Implications (2026–2032)
  • 8.6 Pika
  • 8.6.1 Company Overview
  • 8.6.2 Key Products & Segments
  • 8.6.3 Financial Performance (2023–2025)
  • 8.6.4 Business Strategy
  • 8.6.5 SWOT Analysis
  • 8.6.6 Strategic Implications (2026–2032)
  • 8.7 Stability AI
  • 8.7.1 Company Overview
  • 8.7.2 Key Products & Segments
  • 8.7.3 Financial Performance (2023–2025)
  • 8.7.4 Business Strategy
  • 8.7.5 SWOT Analysis
  • 8.7.6 Strategic Implications (2026–2032)
  • 8.8 Luma
  • 8.8.1 Company Overview
  • 8.8.2 Key Products & Segments
  • 8.8.3 Financial Performance (2023–2025)
  • 8.8.4 Business Strategy
  • 8.8.5 SWOT Analysis
  • 8.8.6 Strategic Implications (2026–2032)
  • 8.9 Haiper
  • 8.9.1 Company Overview
  • 8.9.2 Key Products & Segments
  • 8.9.3 Financial Performance (2023–2025)
  • 8.9.4 Business Strategy
  • 8.9.5 SWOT Analysis
  • 8.9.6 Strategic Implications (2026–2032)
  • 8.10 Heygen
  • 8.10.1 Company Overview
  • 8.10.2 Key Products & Segments
  • 8.10.3 Financial Performance (2023–2025)
  • 8.10.4 Business Strategy
  • 8.10.5 SWOT Analysis
  • 8.10.6 Strategic Implications (2026–2032)
  • 8.11 MoonValley
  • 8.11.1 Company Overview
  • 8.11.2 Key Products & Segments
  • 8.11.3 Financial Performance (2023–2025)
  • 8.11.4 Business Strategy
  • 8.11.5 SWOT Analysis
  • 8.11.6 Strategic Implications (2026–2032)
  • 8.12 Tiktok
  • 8.12.1 Company Overview
  • 8.12.2 Key Products & Segments
  • 8.12.3 Financial Performance (2023–2025)
  • 8.12.4 Business Strategy
  • 8.12.5 SWOT Analysis
  • 8.12.6 Strategic Implications (2026–2032)
  • 8.13 Kuaishou (Kling AI)
  • 8.13.1 Company Overview
  • 8.13.2 Key Products & Segments
  • 8.13.3 Financial Performance (2023–2025)
  • 8.13.4 Business Strategy
  • 8.13.5 SWOT Analysis
  • 8.13.6 Strategic Implications (2026–2032)
  • 8.14 LiblibAI
  • 8.14.1 Company Overview
  • 8.14.2 Key Products & Segments
  • 8.14.3 Financial Performance (2023–2025)
  • 8.14.4 Business Strategy
  • 8.14.5 SWOT Analysis
  • 8.14.6 Strategic Implications (2026–2032)
  • 8.15 MiniMax (Hailuo AI)
  • 8.15.1 Company Overview
  • 8.15.2 Key Products & Segments
  • 8.15.3 Financial Performance (2023–2025)
  • 8.15.4 Business Strategy
  • 8.15.5 SWOT Analysis
  • 8.15.6 Strategic Implications (2026–2032)
  • 8.16 Youyan AI
  • 8.16.1 Company Overview
  • 8.16.2 Key Products & Segments
  • 8.16.3 Financial Performance (2023–2025)
  • 8.16.4 Business Strategy
  • 8.16.5 SWOT Analysis
  • 8.16.6 Strategic Implications (2026–2032)
  • 8.17 Baidu
  • 8.17.1 Company Overview
  • 8.17.2 Key Products & Segments
  • 8.17.3 Financial Performance (2023–2025)
  • 8.17.4 Business Strategy
  • 8.17.5 SWOT Analysis
  • 8.17.6 Strategic Implications (2026–2032)
  • 8.18 Alibaba
  • 8.18.1 Company Overview
  • 8.18.2 Key Products & Segments
  • 8.18.3 Financial Performance (2023–2025)
  • 8.18.4 Business Strategy
  • 8.18.5 SWOT Analysis
  • 8.18.6 Strategic Implications (2026–2032)
  • 8.19 BDB Digital
  • 8.19.1 Company Overview
  • 8.19.2 Key Products & Segments
  • 8.19.3 Financial Performance (2023–2025)
  • 8.19.4 Business Strategy
  • 8.19.5 SWOT Analysis
  • 8.19.6 Strategic Implications (2026–2032)
  • 8.20 YizhenTV
  • 8.20.1 Company Overview
  • 8.20.2 Key Products & Segments
  • 8.20.3 Financial Performance (2023–2025)
  • 8.20.4 Business Strategy
  • 8.20.5 SWOT Analysis
  • 8.20.6 Strategic Implications (2026–2032)
  • 8.21 JingDong
  • 8.21.1 Company Overview
  • 8.21.2 Key Products & Segments
  • 8.21.3 Financial Performance (2023–2025)
  • 8.21.4 Business Strategy
  • 8.21.5 SWOT Analysis
  • 8.21.6 Strategic Implications (2026–2032)
  • 8.22 PixVerse
  • 8.22.1 Company Overview
  • 8.22.2 Key Products & Segments
  • 8.22.3 Financial Performance (2023–2025)
  • 8.22.4 Business Strategy
  • 8.22.5 SWOT Analysis
  • 8.22.6 Strategic Implications (2026–2032)
  • 8.23 Wondershare
  • 8.23.1 Company Overview
  • 8.23.2 Key Products & Segments
  • 8.23.3 Financial Performance (2023–2025)
  • 8.23.4 Business Strategy
  • 8.23.5 SWOT Analysis
  • 8.23.6 Strategic Implications (2026–2032)
  • 8.24 Meitu
  • 8.24.1 Company Overview
  • 8.24.2 Key Products & Segments
  • 8.24.3 Financial Performance (2023–2025)
  • 8.24.4 Business Strategy
  • 8.24.5 SWOT Analysis
  • 8.24.6 Strategic Implications (2026–2032)
  • 8.25 Vidu AI
  • 8.25.1 Company Overview
  • 8.25.2 Key Products & Segments
  • 8.25.3 Financial Performance (2023–2025)
  • 8.25.4 Business Strategy
  • 8.25.5 SWOT Analysis
  • 8.25.6 Strategic Implications (2026–2032)
  • 8.26 iFlytech
  • 8.26.1 Company Overview
  • 8.26.2 Key Products & Segments
  • 8.26.3 Financial Performance (2023–2025)
  • 8.26.4 Business Strategy
  • 8.26.5 SWOT Analysis
  • 8.26.6 Strategic Implications (2026–2032)
  • 8.27 KreadoAI
  • 8.27.1 Company Overview
  • 8.27.2 Key Products & Segments
  • 8.27.3 Financial Performance (2023–2025)
  • 8.27.4 Business Strategy
  • 8.27.5 SWOT Analysis
  • 8.27.6 Strategic Implications (2026–2032)
  • 8.28 Virdyn
  • 8.28.1 Company Overview
  • 8.28.2 Key Products & Segments
  • 8.28.3 Financial Performance (2023–2025)
  • 8.28.4 Business Strategy
  • 8.28.5 SWOT Analysis
  • 8.28.6 Strategic Implications (2026–2032)
09Competitive Landscape
  • 9.1 Competitive Landscape Overview
  • 9.2 Competitive Intensity Assessment
  • 9.3 Key Player Strategies & Positioning
  • 9.4 Competitive Dynamics & Strategic Outlook
  • 9.4.1 Emerging Competitive Threats
  • 9.4.2 Consolidation vs. Fragmentation Outlook
  • 9.4.3 Competitive Response Matrix
  • 9.4.4 Strategic Recommendations, 2026–2032
10Porter's Five Forces Analysis
  • 10.1 Threat of New Entrants
  • 10.2 Bargaining Power of Buyers
  • 10.3 Bargaining Power of Suppliers
  • 10.4 Threat of Substitutes
  • 10.5 Competitive Rivalry
11PESTLE Analysis
  • 11.1 Political
  • 11.2 Economic
  • 11.3 Social and Demographic
  • 11.4 Technological
  • 11.5 Legal and Regulatory
  • 11.6 Environmental
  • 11.7 Strategic Implications of the PESTLE Assessment
12SWOT Analysis
13Future Trends & Outlook
  • 13.1 Future Trends & Outlook
  • 13.1.1 Trend Summary and Commercial Maturity Assessment
  • 13.1.2 Technology and Innovation Trends
  • 13.1.3 Long-Term Market Outlook
  • 13.1.4 Investment & M&A Activity Outlook
  • 13.1.5 Overall Outlook Assessment

Frequently asked questions

What is the size of the global AI Video Generator (AIGC) market?
The global AI Video Generator (AIGC) market is estimated at US$ 1.31 billion in 2025 (base year) and is projected to reach US$ 21.37 billion by 2032.
What is the forecast CAGR for the AI Video Generator (AIGC) market?
The market is expected to grow at a CAGR of 44.1% from 2026 to 2032, expanding from US$ 1.31 billion in 2025 to US$ 21.37 billion in 2032, roughly 16.3 times its base-year value.
What is AI Video Generator (AIGC)?
AI Video Generator is professional software tools that utilize artificial intelligence algorithms and multimodal generation technology to automatically create or assist in editing video content. These tools provide intelligent support, covering video editing, special effects generation, script-to-video conversion, style transfer, and multitrack editing, achieving highly efficient automated production from raw materials to final output.
How is the AI Video Generator (AIGC) market segmented by type?
By type, the market is segmented into I2V (Image-to-Video), T2V (Text-to-Video), V2V (Video-to-Video), Avatar / Talking Head and Other.
What are the key applications of AI Video Generator (AIGC)?
Key applications covered include Advertising Media, E-Commerce, Culture and Entertainment, BFSI and Other.
Which companies are profiled in the AI Video Generator (AIGC) market report?
Key players profiled include OpenAI (Sora), Midjourney, Runway, Oika, Loom, Pika, Stability AI and Luma, among 28 companies covered in total.
What geographies does the AI Video Generator (AIGC) market analysis include?
The market is analysed across Asia Pacific, North America, Europe, Middle East & Africa and Latin America, with 20 country-level markets including China, Japan, United States, Canada, Germany, France, Egypt and South Africa.
What are the key demand drivers for AI Video Generator (AIGC)?
These capabilities enable natural language-driven scene creation, dynamic animation from static images, and seamless expansion of existing clips.
What are the main risks and barriers in the AI Video Generator (AIGC) market?
The core value of AIGC video creation software lies in significantly enhancing creators' production capabilities, lowering the barrier to content creation, and expanding the expressive and innovative potential of video content.
Who should buy the AI Video Generator (AIGC) market report?
The report is intended for manufacturers and solution providers, distributors and end users in Advertising Media, E-Commerce and Culture and Entertainment, investors and consultants, and government or industry bodies who need market size, segmentation, competitive and regional data for the AI Video Generator (AIGC) market.
What license options are available for this report?
The report is available as a Single User License (US$ 3,500, one named user), a Site License (US$ 5,250, up to 10 users) and a Global / Corporate License (US$ 7,000, unlimited users), all delivered in PDF format.

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04
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CAGR projections use time-series regression on 5-10 years of historical data, adjusted for identified demand drivers (technology adoption curves, regulatory catalysts, demographic shifts) and demand inhibitors (cost barriers, substitution risk). Scenario modeling covers base, optimistic, and conservative cases.

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