The text-to-video AI market size has grown exponentially in recent years. It will grow from $0.4 billion in 2025 to $0.52 billion in 2026 at a compound annual growth rate (CAGR) of 30.4%. The growth in the historic period can be attributed to expansion of digital marketing activities, growing popularity of video-based communication, increasing adoption of e-learning platforms, rising social media content creation, wider availability of cloud-based video tools.
The text-to-video AI market size is expected to see exponential growth in the next few years. It will grow to $1.55 billion in 2030 at a compound annual growth rate (CAGR) of 31.5%. The growth in the forecast period can be attributed to increasing demand for personalized marketing videos, rising adoption of generative AI platforms, expansion of enterprise video communication, growing use in training and education, increasing integration with content management systems. Major trends in the forecast period include increasing adoption of automated video generation platforms, rising demand for short-form video content, growing use of AI-based video editing tools, expansion of personalized video creation, enhanced focus on scalable content production.
The increasing consumption of video content is anticipated to drive the growth of the text-to-video AI market in the coming years. Video content refers to visual material in video format that is created, produced, and shared for various purposes, including entertainment, education, marketing, communication, and information dissemination. Text-to-video AI technology streamlines and accelerates the process of converting text-based content into video format, serving as a valuable tool for content creators and businesses aiming to enhance their video content strategies. For example, in February 2024, Thrive Internet Marketing Agency, a US-based digital marketing and advertising company, reported that videos account for nearly 80% of global internet traffic, with projections suggesting an increase to 82.5% by the end of 2023. Therefore, the growing consumption of video content is expected to propel the growth of the text-to-video AI market.
Major companies in the text-to-video AI market are developing innovative technologies to streamline video creation and improve content accessibility. One such innovation is Make-A-Video, an AI system that enables users to produce short, high-quality video clips directly from text prompts. Similarly, in February 2024, OpenAI, a US-based artificial intelligence company, introduced Sora, an AI platform that transforms text descriptions into high-definition video clips. This launch aims to revolutionize video content creation by allowing the generation of brief, high-quality videos from natural language inputs. Sora also provides advanced features, including scene composition from textual descriptions, motion-aware rendering, prompt-driven camera movements, and the ability to convert complex instructions into coherent video sequences.
In October 2024, Panopto, a US-based software company, acquired ElAI for an undisclosed amount. This acquisition enables Panopto to enhance its video management capabilities and broaden its enterprise learning solution offerings. By incorporating Elai’s AI-driven video creation technologies, Panopto aims to improve the user experience and provide more advanced features for its clients. Elai, an Estonian-based technology company, is recognized for its innovative approach to AI-powered video generation, which will further strengthen Panopto's ability to deliver cutting-edge solutions for video content creation and learning. This move underscores Panopto's strategy to solidify its position in the enterprise video platform market.
Major companies operating in the text-to-video AI market are Synthesia Ltd., DeepBrain AI Inc., Movio Inc., Pictory AI Inc., Runway AI Inc., Lumen5 Inc., InVideo Inc., Animaker Inc., Vyond Inc., Raw Shorts Inc., Biteable Inc., Wideo Inc., Moovly NV, Renderforest LLC, Designs.AI Inc., Steve AI Inc., Fliki AI Inc., Kapwing Inc., VEED Ltd., HeyGen Inc., Colossyan Inc., ElAI Inc.
North America was the largest region in the text-to-video AI market in 2025. The regions covered in the text-to-video AI market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the text-to-video AI market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Tariffs are impacting the text-to-video AI market by increasing costs associated with imported cloud infrastructure hardware, GPUs, and high-performance computing components required for video rendering and AI model training. Media and enterprise users in North America and Europe are most affected due to dependence on global cloud platforms, while Asia-Pacific faces pricing pressure on AI service exports. These tariffs are raising operational costs and slowing large-scale deployments. However, they are also encouraging regional data center investments, optimization of compute resources, and development of cost-efficient generative video technologies.
The text-to-video AI market research report is one of a series of new reports that provides text-to-video AI market statistics, including text-to-video AI industry global market size, regional shares, competitors with a text-to-video AI market share, detailed text-to-video AI market segments, market trends and opportunities, and any further data you may need to thrive in the text-to-video AI industry. This text-to-video AI 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.
Text-to-video AI is an innovative technology utilizing artificial intelligence and natural language processing to automatically generate engaging video content from textual input. This transformative tool finds applications across diverse industries by seamlessly converting textual content into captivating video presentations.
The key components of text-to-video AI encompass software and services. Software denotes a collection of computer programs, data, and instructions enabling a computer system to perform specific operations or functions. Text-to-video AI software plays a crucial role in automatically converting text-based content into video format, employing AI and visual elements to craft compelling multimedia presentations. These solutions are deployed in both cloud and on-premises modes, catering to the needs of large enterprises and small and medium-sized enterprises across various sectors, including education, food and beverage, media and entertainment, fashion and beauty, retail and e-commerce, healthcare, travel and hospitality, real estate, and more.
The text-to-video AI market consists of revenues earned by entities by providing text-to-video AI services such automated video generation, content customization, voiceover integration, localization, script import, text-to-speech conversion services, and video marketing services. The market value includes the value of related goods sold by the service provider or included within the service offering. The text-to-video AI market also includes sales of video content creation tools such as lumen5, powtoon, and ani maker, which are used in providing text-to-video AI services. 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.
This product will be delivered within 1-3 business days.
The text-to-video AI market size is expected to see exponential growth in the next few years. It will grow to $1.55 billion in 2030 at a compound annual growth rate (CAGR) of 31.5%. The growth in the forecast period can be attributed to increasing demand for personalized marketing videos, rising adoption of generative AI platforms, expansion of enterprise video communication, growing use in training and education, increasing integration with content management systems. Major trends in the forecast period include increasing adoption of automated video generation platforms, rising demand for short-form video content, growing use of AI-based video editing tools, expansion of personalized video creation, enhanced focus on scalable content production.
The increasing consumption of video content is anticipated to drive the growth of the text-to-video AI market in the coming years. Video content refers to visual material in video format that is created, produced, and shared for various purposes, including entertainment, education, marketing, communication, and information dissemination. Text-to-video AI technology streamlines and accelerates the process of converting text-based content into video format, serving as a valuable tool for content creators and businesses aiming to enhance their video content strategies. For example, in February 2024, Thrive Internet Marketing Agency, a US-based digital marketing and advertising company, reported that videos account for nearly 80% of global internet traffic, with projections suggesting an increase to 82.5% by the end of 2023. Therefore, the growing consumption of video content is expected to propel the growth of the text-to-video AI market.
Major companies in the text-to-video AI market are developing innovative technologies to streamline video creation and improve content accessibility. One such innovation is Make-A-Video, an AI system that enables users to produce short, high-quality video clips directly from text prompts. Similarly, in February 2024, OpenAI, a US-based artificial intelligence company, introduced Sora, an AI platform that transforms text descriptions into high-definition video clips. This launch aims to revolutionize video content creation by allowing the generation of brief, high-quality videos from natural language inputs. Sora also provides advanced features, including scene composition from textual descriptions, motion-aware rendering, prompt-driven camera movements, and the ability to convert complex instructions into coherent video sequences.
In October 2024, Panopto, a US-based software company, acquired ElAI for an undisclosed amount. This acquisition enables Panopto to enhance its video management capabilities and broaden its enterprise learning solution offerings. By incorporating Elai’s AI-driven video creation technologies, Panopto aims to improve the user experience and provide more advanced features for its clients. Elai, an Estonian-based technology company, is recognized for its innovative approach to AI-powered video generation, which will further strengthen Panopto's ability to deliver cutting-edge solutions for video content creation and learning. This move underscores Panopto's strategy to solidify its position in the enterprise video platform market.
Major companies operating in the text-to-video AI market are Synthesia Ltd., DeepBrain AI Inc., Movio Inc., Pictory AI Inc., Runway AI Inc., Lumen5 Inc., InVideo Inc., Animaker Inc., Vyond Inc., Raw Shorts Inc., Biteable Inc., Wideo Inc., Moovly NV, Renderforest LLC, Designs.AI Inc., Steve AI Inc., Fliki AI Inc., Kapwing Inc., VEED Ltd., HeyGen Inc., Colossyan Inc., ElAI Inc.
North America was the largest region in the text-to-video AI market in 2025. The regions covered in the text-to-video AI market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the text-to-video AI market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Tariffs are impacting the text-to-video AI market by increasing costs associated with imported cloud infrastructure hardware, GPUs, and high-performance computing components required for video rendering and AI model training. Media and enterprise users in North America and Europe are most affected due to dependence on global cloud platforms, while Asia-Pacific faces pricing pressure on AI service exports. These tariffs are raising operational costs and slowing large-scale deployments. However, they are also encouraging regional data center investments, optimization of compute resources, and development of cost-efficient generative video technologies.
The text-to-video AI market research report is one of a series of new reports that provides text-to-video AI market statistics, including text-to-video AI industry global market size, regional shares, competitors with a text-to-video AI market share, detailed text-to-video AI market segments, market trends and opportunities, and any further data you may need to thrive in the text-to-video AI industry. This text-to-video AI 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.
Text-to-video AI is an innovative technology utilizing artificial intelligence and natural language processing to automatically generate engaging video content from textual input. This transformative tool finds applications across diverse industries by seamlessly converting textual content into captivating video presentations.
The key components of text-to-video AI encompass software and services. Software denotes a collection of computer programs, data, and instructions enabling a computer system to perform specific operations or functions. Text-to-video AI software plays a crucial role in automatically converting text-based content into video format, employing AI and visual elements to craft compelling multimedia presentations. These solutions are deployed in both cloud and on-premises modes, catering to the needs of large enterprises and small and medium-sized enterprises across various sectors, including education, food and beverage, media and entertainment, fashion and beauty, retail and e-commerce, healthcare, travel and hospitality, real estate, and more.
The text-to-video AI market consists of revenues earned by entities by providing text-to-video AI services such automated video generation, content customization, voiceover integration, localization, script import, text-to-speech conversion services, and video marketing services. The market value includes the value of related goods sold by the service provider or included within the service offering. The text-to-video AI market also includes sales of video content creation tools such as lumen5, powtoon, and ani maker, which are used in providing text-to-video AI services. 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.
This product will be delivered within 1-3 business days.
Table of Contents
1. Executive Summary
2. Text-to-Video AI Market Characteristics
3. Text-to-Video AI Market Supply Chain Analysis
4. Global Text-to-Video AI Market Trends and Strategies
5. Text-to-Video AI Market Analysis of End Use Industries
7. Global Text-to-Video AI Strategic Analysis Framework, Current Market Size, Market Comparisons and Growth Rate Analysis
8. Global Text-to-Video AI Total Addressable Market (TAM) Analysis for the Market
9. Text-to-Video AI Market Segmentation
10. Text-to-Video AI Market, Industry Metrics by Country
11. Text-to-Video AI Market Regional and Country Analysis
12. Asia-Pacific Text-to-Video AI Market
13. China Text-to-Video AI Market
14. India Text-to-Video AI Market
15. Japan Text-to-Video AI Market
16. Australia Text-to-Video AI Market
17. Indonesia Text-to-Video AI Market
18. South Korea Text-to-Video AI Market
19. Taiwan Text-to-Video AI Market
20. South East Asia Text-to-Video AI Market
21. Western Europe Text-to-Video AI Market
22. UK Text-to-Video AI Market
23. Germany Text-to-Video AI Market
24. France Text-to-Video AI Market
25. Italy Text-to-Video AI Market
26. Spain Text-to-Video AI Market
27. Eastern Europe Text-to-Video AI Market
28. Russia Text-to-Video AI Market
29. North America Text-to-Video AI Market
30. USA Text-to-Video AI Market
31. Canada Text-to-Video AI Market
32. South America Text-to-Video AI Market
33. Brazil Text-to-Video AI Market
34. Middle East Text-to-Video AI Market
35. Africa Text-to-Video AI Market
37. Text-to-Video AI Market Competitive Landscape and Company Profiles
38. Text-to-Video AI Market Other Major and Innovative Companies
41. Text-to-Video AI Market High Potential Countries, Segments and Strategies
42. Appendix
Executive Summary
Text-To-Video AI Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses text-to-video AI 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.
Reasons to Purchase:
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- Identify growth segments for investment.
- Outperform competitors using forecast data and the drivers and trends shaping the market.
- Understand customers based on end user analysis.
- Benchmark performance against key competitors based on market share, innovation, and brand strength.
- Evaluate the total addressable market (TAM) and market attractiveness scoring to measure market potential.
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- Report will be updated with the latest data and delivered to you along with an Excel data sheet for easy data extraction and analysis.
- All data from the report will also be delivered in an excel dashboard format.
Description
Where is the largest and fastest growing market for text-to-video AI? 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 text-to-video AI 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 Component: Software; Services2) By Deployment: Cloud; On-Premises
3) By Organization Size: Large Enterprises; Small And Medium-Sized Enterprises
4) By Application: Education; Food And Beverage; Media And Entertainment; Fashion And Beauty; Retail And E-Commerce; Healthcare; Travel And Hospitality; Real Estate; Other Applications
Subsegments:
1) By Software: Text-To-Video Creation Tools; Editing And Enhancement Software; Platform-As-A-Service (Paas) Solutions2) By Services: Custom Video Generation Services; Consultation And Integration Services; Training And Support Services
Companies Mentioned: Synthesia Ltd.; DeepBrain AI Inc.; Movio Inc.; Pictory AI Inc.; Runway AI Inc.; Lumen5 Inc.; InVideo Inc.; Animaker Inc.; Vyond Inc.; Raw Shorts Inc.; Biteable Inc.; Wideo Inc.; Moovly NV; Renderforest LLC; Designs.AI Inc.; Steve AI Inc.; Fliki AI Inc.; Kapwing Inc.; VEED Ltd.; HeyGen Inc.; Colossyan Inc.; ElAI Inc.
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 Text-to-Video AI market report include:- Synthesia Ltd.
- DeepBrain AI Inc.
- Movio Inc.
- Pictory AI Inc.
- Runway AI Inc.
- Lumen5 Inc.
- InVideo Inc.
- Animaker Inc.
- Vyond Inc.
- Raw Shorts Inc.
- Biteable Inc.
- Wideo Inc.
- Moovly NV
- Renderforest LLC
- Designs.AI Inc.
- Steve AI Inc.
- Fliki AI Inc.
- Kapwing Inc.
- VEED Ltd.
- HeyGen Inc.
- Colossyan Inc.
- ElAI Inc.
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | February 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 0.52 Billion |
| Forecasted Market Value ( USD | $ 1.55 Billion |
| Compound Annual Growth Rate | 31.5% |
| Regions Covered | Global |
| No. of Companies Mentioned | 23 |
