The generative artificial intelligence (AI) in video creation market size is expected to see exponential growth in the next few years. It will grow to $0.98 billion in 2030 at a compound annual growth rate (CAGR) of 20.4%. The growth in the forecast period can be attributed to advancements in generative AI models, expansion of cloud-based video creation platforms, integration of AI with immersive technologies, growth in personalized video marketing, rising adoption of AI for educational and entertainment content. Major trends in the forecast period include AI-powered automated video editing, generative video content creation, real-time video enhancement tools, cloud-based collaborative video production, personalized video marketing solutions.
The expansion of social media and digital platforms is expected to support the growth of generative artificial intelligence (AI) in the video creation market going forward. Social media and digital platforms are online environments that allow users to create, share, and interact with content using digital tools and applications. Growth in these platforms is driven by wider internet availability, improved mobile technologies, and rising user engagement and content consumption. Generative AI enhances video creation for digital platforms by producing visually engaging, high-quality content efficiently and cost-effectively, increasing user engagement. For example, in January 2024, according to a report by We Are Social, a UK-based creative agency, global social media users increased by 5.6% in 2023, with 266 million new users joining during the year, equating to an average of 8.4 new users per second worldwide. Therefore, the expansion of social media and digital platforms is contributing to the growth of generative artificial intelligence (AI) in the video creation market.
Leading companies operating in the generative artificial intelligence (AI) in video creation market are concentrating on developing advanced technologies, such as generative AI-enabled 3D workflows, to improve efficiency and creativity by automating complex tasks. Generative AI-enabled 3D workflows use artificial intelligence to automate and enhance the creation, modeling, and rendering of three-dimensional assets, streamlining design processes and improving efficiency in producing complex 3D content. For example, in June 2024, WPP Plc, a UK-based creative transformation company, launched an AI-powered Production Studio that enables advertisers to generate significantly more content for marketing campaigns. This Production Studio integrates generative AI to transform content creation by streamlining 3D model development, centralizing updates, and ensuring high-quality, culturally relevant visuals. Key features include AI-driven multilingual copy generation, dynamic platform-specific customization, and the integration of data with creative assets to deliver precise and personalized communications while continuously improving performance using real-time analytics.
In July 2024, Canva, an Australia-based graphic design company, acquired Leonardo AI for an undisclosed amount. Through this acquisition, Canva plans to integrate Leonardo’s Phoenix foundation model and proprietary technologies into its offerings. At the same time, Leonardo will continue to independently develop and advance its web platform and capabilities. Leonardo AI is an Australia-based company that delivers generative AI solutions for video creation.
Major companies operating in the generative artificial intelligence (AI) in video creation market are Meta Platforms Inc., Vimeo Inc., NVIDIA Corporation, Adobe Inc., Kaltura Inc., OpenAI, Canva, Google DeepMind Technologies Limited, D-ID, Animoto Inc., Veed Ltd., Descript Inc., Synthesia Ltd., Magisto Ltd., Render, Synthesis AI Inc., Wibbitz Ltd., DeepBrain, Elai.io, Moovly, Pictory Corp., Rephrase AI, Runway AI Inc., Vidnami, Lumen5.
North America was the largest region in the generative artificial intelligence (AI) in video creation market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative artificial intelligence (AI) in video creation market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the generative artificial intelligence (AI) in video creation market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Tariffs have impacted the generative AI in video creation market by increasing the cost of importing high-performance GPUs, servers, and cloud infrastructure components required for video rendering and AI-based processing. Segments such as cloud-based video production platforms and on-premise AI video editing solutions are particularly affected, especially in regions like North America, Europe, and Asia-Pacific that rely on imported hardware. While tariffs have led to higher operational costs and slowed adoption in certain markets, they have also encouraged local manufacturing of hardware and promoted development of cost-efficient AI video solutions, driving innovation in the industry.
The generative artificial intelligence (AI) in video creation market research report is one of a series of new reports that provides generative artificial intelligence (AI) in video creation market statistics, including generative artificial intelligence (AI) in video creation industry global market size, regional shares, competitors with a generative artificial intelligence (AI) in video creation market share, detailed generative artificial intelligence (AI) in video creation market segments, market trends and opportunities, and any further data you may need to thrive in the generative artificial intelligence (AI) in video creation industry. This generative artificial intelligence (AI) in video creation market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
Generative artificial intelligence (AI) in video creation involves using AI, particularly generative models, to create, edit, or enhance video content. This technology employs deep learning algorithms, such as generative adversarial networks (GANs) or transformer models, to automate and streamline various aspects of video production. It is transforming the media and entertainment industry by making video production more accessible, cost-effective, and innovative.
The primary deployment types for generative AI in video creation are on-premise and cloud. On-premise deployment entails installing software directly on a company's own servers and infrastructure, offering greater control and customization but requiring higher maintenance and initial costs. This technology is utilized across marketing, education, entertainment, social media, and other areas by various end-users including large enterprises, small and medium enterprises (SMEs), and individual content creators.
The generative artificial intelligence (AI) in video creation market consists of revenues earned by entities by providing services such as synthetic media creation, video summarization, virtual set and scene generation and content moderation and compliance. The market value includes the value of related goods sold by the service provider or included within the service offering. The generative artificial intelligence (AI) in video creation market also includes sales of AI video generators, automated editing software, AI-powered video enhancement tools and speech and lip-sync synthesis software. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
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Table of Contents
Executive Summary
Generative Artificial Intelligence (AI) In Video Creation Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses generative artificial intelligence (AI) in video creation market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for generative artificial intelligence (AI) in video creation? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The generative artificial intelligence (AI) in video creation market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Report Scope
Markets Covered:
1) By Deployment Type: On-Premise; Cloud2) By Application: Marketing; Education; Entertainment; Social Media; Other Applications
3) By End-Users: Large Enterprises; Small And Medium Enterprises (SMEs); Individual Content Creators
Subsegments:
1) By On-Premise: Local Software Installation For Video Editing; In-House Video Production Solutions; Customizable Video Generation Tools; Secure Storage And Management Of Video Assets; Integrated Systems For Real-Time Collaboration2) By Cloud: Cloud-Based Video Editing Platforms; Subscription-Based Video Creation Services; Scalable Video Processing And Rendering; Collaborative Video Production Tools; Access To Extensive Libraries Of Stock Media; AI-Driven Cloud Services For Automated Video Generation.
Companies Mentioned: Meta Platforms Inc.; Vimeo Inc.; NVIDIA Corporation; Adobe Inc.; Kaltura Inc.; OpenAI; Canva; Google DeepMind Technologies Limited; D-ID; Animoto Inc.; Veed Ltd.; Descript Inc.; Synthesia Ltd.; Magisto Ltd.; Render; Synthesis AI Inc.; Wibbitz Ltd.; DeepBrain; Elai.io; Moovly; Pictory Corp.; Rephrase AI; Runway AI Inc.; Vidnami; Lumen5
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits:
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
The companies featured in this Generative AI in Video Creation market report include:- Meta Platforms Inc.
- Vimeo Inc.
- NVIDIA Corporation
- Adobe Inc.
- Kaltura Inc.
- OpenAI
- Canva
- Google DeepMind Technologies Limited
- D-ID
- Animoto Inc.
- Veed Ltd.
- Descript Inc.
- Synthesia Ltd.
- Magisto Ltd.
- Render
- Synthesis AI Inc.
- Wibbitz Ltd.
- DeepBrain
- Elai.io
- Moovly
- Pictory Corp.
- Rephrase AI
- Runway AI Inc.
- Vidnami
- Lumen5
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | February 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 0.47 Billion |
| Forecasted Market Value ( USD | $ 0.98 Billion |
| Compound Annual Growth Rate | 20.4% |
| Regions Covered | Global |
| No. of Companies Mentioned | 26 |


