Built to provide research that’s more actionable and strategically valuable, The Business Research Company’s 2026 market reports include market attractiveness analysis, total addressable market sizing, company benchmarking matrices, interactive Excel dashboards, broader supply chain intelligence, emerging startup tracking, and in-depth product insights.
Text-To-Video AI Market Growth Analysis: How Will Revenue Trend Over The Forecast Period?
The text-to-video AI market has experienced substantial growth in its size over recent years. It is projected to increase from $0.4 billion in 2025 to $0.52 billion in 2026, demonstrating a compound annual growth rate (CAGR) of 30.4%. Historically, this expansion has been driven by factors such as the rise of digital marketing activities, the increasing appeal of video-based communication, the wider adoption of e-learning platforms, a surge in social media content creation, and the greater accessibility of cloud-based video tools.
The text-to-video AI market is poised for substantial growth over the next few years. It is projected to achieve a market size of $1.55 billion by 2030, expanding at a compound annual growth rate (CAGR) of 31.5%. This anticipated growth is influenced by several factors, including the escalating demand for personalized marketing videos, the increasing adoption of generative AI platforms, the expansion of enterprise video communication, its growing application in training and education, and its deeper integration with content management systems. Prominent trends identified for this forecast period encompass the rising adoption of automated video generation platforms, an increasing demand for short-form video content, the expanded use of AI-based video editing tools, the broadening of personalized video creation, and a heightened emphasis on scalable content production.
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Text-To-Video AI Market Demand Drivers: What’s Powering Industry Growth?
An increasing consumption of video content is projected to drive the expansion of the text-to-video AI market in the future. Video content involves visual material in a video format, created, produced, and shared for purposes spanning entertainment, education, marketing, communication, and information dissemination. Text-to-video AI technology streamlines and speeds up the conversion of text-based material into video. It offers a valuable tool for content creators and businesses seeking to enhance their video content strategies. For instance, in March 2025, Appnova Limited reported that 90% of consumers watch short-form videos on their phones daily, and it is anticipated that 82% of online content will be video, primarily in short-form formats, by the end of 2025. Hence, the growing utilization of video content will fuel the growth of the text-to-video AI market.
Text-To-Video AI Market Segment Performance And Emerging Opportunities
The text-to-video AI market covered in this report is segmented –
1) By Component: Software, Services
2) 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) Solutions
2) By Services: Custom Video Generation Services, Consultation And Integration Services, Training And Support Services
Text-To-Video AI Market Innovation Trends: What Developments Are Reshaping The Industry?
Leading companies in the text-to-video AI market are developing innovative technologies to simplify video production and enhance content availability. An example of such advancement is Make-A-Video, an AI system that enables users to produce concise, high-quality video clips directly from text inputs. Likewise, in February 2024, OpenAI, a US-based artificial intelligence company, unveiled Sora, an AI platform capable of converting text descriptions into high-definition video clips. This launch intends to revolutionize video content creation by allowing the generation of short, premium videos from natural language prompts. Sora additionally features advanced functionalities, including constructing scenes from textual descriptions, motion-aware rendering, prompt-guided camera movements, and the capacity to translate intricate instructions into coherent video sequences.
Text-To-Video AI Market Key Players: Which Companies Lead Industry Competition?
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.
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Text-To-Video AI Market Regional Analysis And Top Geography
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.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
