Text to Video AI Market Size & Share 2023 to 2032
Market Size by Component (Software, Services), by Deployment (Cloud, On-premise), by Organization Size (Large Enterprises, SME), Application, End User & Global Forecast.
Report ID: GMI5776
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Published Date: May 2023
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Report Format: PDF
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Authors:
Preeti Wadhwani, Aishvarya Ambekar
Text to Video AI Market Size
Text to Video AI Market size was valued at USD 122.5 million in 2022 and is anticipated to witness over 35% CAGR between 2023 and 2032, attributed to the growing adoption of video content tools by businesses and institutions for marketing purposes.attributed to the growing adoption of video content tools by businesses and institutions for marketing purposes.
Text to Video AI Market Key Takeaways
Market Size & Growth
Key Market Drivers
Challenges
Video content helps in increasing website traffic, enhance search engine rankings and increase the conversion rates. Businesses are incorporating videos into their marketing strategy to stay ahead of competition and cater to the ever-changing demands of their audience. Businesses are using video content majorly for explaining their products on their websites.
The major factor restraining the growth of the market is the high computing costs of text-to-video AI software. The software needs a huge amount of computing power and has very high computation costs which makes training very unaffordable. The software uses a large amount of data to train, and only large enterprises can build this type of software.
Text to Video AI Market Analysis
The services segment accounted for 35% of text-to-video AI market share in 2022. The text-to-video service offers a wide variety of stock films and free music which helps in the quick and simple creation of attractive videos. The services save time of artists with the use of human faces and voiceovers and the AI-powered video generator can easily identify stock videos that can fit with the content.
The text-to-video AI market from large enterprises segment held over 65% revenue share in 2022 and achieved a market value of over USD 50 million. Large enterprises are increasingly integrating text-to-video AI solutions & services to manage their large number of dispersed devices. Also, large enterprises are investing heavily in technological competence and business instruments to increase their market share and revenue.
The text-to-video AI market from education segment was reached USD 20 million in 2022 and will cross USD 350 million by 2032. The text-to-video AI solutions help users to efficiently make videos from any data and information. The AI text-to-video tools help in making videos from tales, new articles, lessons, and articles. Also, the proliferation of new technologies including AR, VR, wireless connectivity has made learning no longer limited to the classroom and offer learners the freedom to take way they want to learn.
The Asia Pacific text-to-video AI market size is poised to observe around 40% CAGR during the forecast period, owing to the expanding e-commerce sector in the region which has enhanced the competition in the retail markets and increased customer options. Also, the presence of strong internet penetration and increasing inclination towards online shopping in driving the e-commerce business in the region. Companies operating in the market are using exclusive advertising strategies to increase their customer base and are using text-to-video advertising.
Text to Video AI Market Share
The major companies operating in the text-to-video AI market include
Companies operating in the market are forming strategic partnerships and collaborations to develop innovative text-to-video AI solutions to increase their revenue share. The companies are also focused on expanding their market presence through strategic partnerships.
This text-to-video AI market research report includes in-depth coverage of the industry with estimates & forecast in terms of revenue in USD from 2018 to 2032 for the following segments:
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Market, By Component
Market, By Deployment
Market, By Organization size
Market, By Application
The above information has been provided for the following regions and countries:
Research methodology, data sources & validation process
This report draws on a structured research process built around direct industry conversations, proprietary modelling, and rigorous cross-validation and not just desk research.
Our 6-step research process
1. Research design & analyst oversight
At GMI, our research methodology is built on a foundation of human expertise, rigorous validation, and complete transparency. Every insight, trend analysis, and forecast in our reports is developed by experienced analysts who understand the nuances of your market.
Our approach integrates extensive primary research through direct engagement with industry participants and experts, complemented by comprehensive secondary research from verified global sources. We apply quantified impact analysis to deliver dependable forecasts, while maintaining complete traceability from original data sources to final insights.
2. Primary research
Primary research forms the backbone of our methodology, contributing nearly 80% to overall insights. It involves direct engagement with industry participants to ensure accuracy and depth in analysis. Our structured interview program covers regional and global markets, with inputs from C-suite executives, directors, and subject matter experts. These interactions provide strategic, operational, and technical perspectives, enabling well-rounded insights and reliable market forecasts.
3. Data mining & market analysis
Data mining is a key part of our research process, contributing nearly 20% to the overall methodology. It involves analysing market structure, identifying industry trends, and assessing macroeconomic factors through revenue share analysis of major players. Relevant data is collected from both paid and unpaid sources to build a reliable database. This information is then integrated to support primary research and market sizing, with validation from key stakeholders such as distributors, manufacturers, and associations.
4. Market sizing
Our market sizing is built on a bottom-up approach, starting with company revenue data gathered directly through primary interviews, alongside production volume figures from manufacturers and installation or deployment statistics. These inputs are then pieced together across regional markets to arrive at a global estimate that stays grounded in actual industry activity.
5. Forecast model & key assumptions
Every forecast includes explicit documentation of:
✓ Key growth drivers and their assumed impact
✓ Restraining factors and mitigation scenarios
✓ Regulatory assumptions and policy change risk
✓ Technology adoption curve parameter
✓ Macroeconomic assumptions (GDP growth, inflation, currency)
✓ Competitive dynamics and market entry/exit expectations
6. Validation & quality assurance
The final stages involve human validation, where domain experts manually review filtered data to identify nuances and contextual errors that automated systems might miss. This expert review adds a critical layer of quality assurance, ensuring data aligns with research objectives and domain-specific standards.
Our triple-layer validation process ensures maximum data reliability:
✓ Statistical Validation
✓ Expert Validation
✓ Market Reality Check
Trust & credibility
Verified data sources
Trade publications
Security & defense sector journals and trade press
Industry databases
Proprietary and third-party market databases
Regulatory filings
Government procurement records and policy documents
Academic research
University studies and specialist institution reports
Company reports
Annual reports, investor presentations, and filings
Expert interviews
C-suite, procurement leads, and technical specialists
GMI archive
13,000+ published studies across 30+ industry verticals
Trade data
Import/export volumes, HS codes, and customs records
Parameters studied & evaluated
Every data point in this report is validated through primary interviews, true bottom-up modelling, and rigorous cross-checks. Read about our research process →