In-Depth Industry Outlook: Text to Video AI Market Size & Forecast (2024)

Text to Video AI Market Size And Forecast

Text to Video AI Market size is valued at USD 163.2 Million in 2024 It is expected to reach USD 1401.2 Million by 2031, with an expected CAGR of 36.00% from 2024 to 2031.

Text-to-video Artificial intelligence (AI) is a technology that transforms written text or descriptions into related video footage. This kind of AI technology enables users to create videos based on their written input, bridging the gap between textual knowledge and visual representation. The Global Text to Video AI Market report provides a holistic evaluation of the market. The report offers a comprehensive analysis of key segments, trends, drivers, restraints, competitive landscape, and factors that are playing a substantial role in the market.

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Global Text to Video AI Market Definition

The industry and business that surround the creation, adoption, and use of artificial intelligence technologies that transform text or written descriptions into video information are referred to as the “Text to Video AI Market.” This market includes businesses, groups, and platforms engaged in developing, disseminating, or offering text-to-video AI products and services. businesses that create and sell text-to-video AI platforms and solutions. These companies produce the AI models, algorithms, and technologies that allow text input to be transformed into video content. platforms or programs that include text-to-video AI capabilities into their current tools for creating and editing videos.

These platforms may serve individuals looking to develop video content as well as marketers, educators, and professional video producers. businesses that use text-to-video AI technologies for a range of functions, including marketing, advertising, training, and communication. They could either create their own internal text-to-video AI systems or rely on outside suppliers. individuals or teams that create video material using text-to-video AI systems for entertainment, education, or other uses. Filmmakers, animators, YouTubers, teachers, and developers of digital content all fall under this category. The advancement of text-to-video AI technology is being aggressively pursued by academic institutions, research facilities, and organizations.

There are numerous applications for Text-to-Video AI in numerous businesses and sectors. AI for text-to-video provides effective and automated production of video content. It enables business owners, content producers, and marketers to turn textual scripts, articles, or descriptions into interesting video content. This programme is useful for creating marketing films, social media posts, product demonstrations, and other content. In educational settings, text-to-video AI can be used to translate written instructional materials, textbooks, or lesson plans into video content. By offering visually beautiful and engaging interactive video classes, tutorials, and explainer videos, it improves the learning experience.

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Global Text to Video AI Market Overview

The consumption of video content has significantly increased across a variety of channels, including social networking, internet streaming, and e-learning. In order to connect and fascinate their audience, businesses and content producers are looking for effective ways to develop video content. AI solutions for text-to-video offer automation and efficiency in the production of videos. It takes less time, effort, and resources to produce manual videos by turning text into video information. Businesses and content producers wishing to scale their video production operations will especially benefit from this. The rapid development of text-to-video AI models has been made possible by advances in artificial intelligence, particularly in natural language processing and computer vision.

These developments have raised the reliability, excellence, and realism of created videos, increasing their user appeal. Video material has successfully drawn attention from audiences since it is so entertaining. With the help of text-to-video AI, companies and content producers can turn static text into dynamic, aesthetically arresting movies, increasing user engagement and enhancing concept communication. The consumption of video content has significantly increased across a variety of channels, including social networking, internet streaming, and e-learning. In order to connect and fascinate their audience, businesses and content producers are looking for effective ways to develop video content. AI solutions for text-to-video offer automation and efficiency in the production of videos. It takes less time, effort, and resources to produce manual videos by turning text into video information.

Businesses and content producers wishing to scale their video production operations will especially benefit from this. The rapid development of text-to-video AI models has been made possible by advances in artificial intelligence, particularly in natural language processing and computer vision. AI that converts text into video has the potential to lower video production expenses. Businesses might avoid hiring video production teams or contracting out video production work by automating some steps of the video production process. Organizations with tight budgets may now create video content more easily thanks to this economical method. These factors are influencing the development and uptake of text-to-video AI solutions, allowing organizations, content producers, and individuals to more effectively and widely leverage the power of video.

An important market for text-to-video AI applications is the education sector. Text-to-video artificial intelligence (AI) can improve e-learning experiences by transforming educational information into video format. It provides interactive and interesting video tutorials, lectures, and simulations that increase student engagement and knowledge retention. There is an increasing need for video content to engage audiences as social media platforms gain popularity. Businesses and influencers may create engaging video content with the aid of text-to-video AI for social media marketing campaigns. It makes it possible to quickly produce visually appealing videos that follow user preferences and social media trends.

Global Text to Video AI Market Segmentation Analysis

The Global Text to Video AI Market is divided into categories in this research analysis based on component, application, and Geography.

Text to Video AI Market, By Component

• Software
• Services

Based on Component, the market is segmented into software and services. The Text to Video AI Market software sector had the biggest revenue share. The text-to-video AI tools are AI-powered solutions that convert text or even audio input into animated videos with a focus on certain characters. These systems offer a wide range of features, such as the option to select from a selection of AI avatars, many languages, diverse voices, pre-selected music, built-in video themes, transition effects, and modern editing tools to produce high-quality movies.

Text to Video AI Market, By End User

• Marketers
• Social Media Managers
• Educators & Course Creators
• Content Creators
• Corporate Professionals
• Others

Based on end-user, the market is segmented into marketers, social media managers, educators and course designers, content producers, corporate professionals, and other. The Text to Video AI Market saw significant revenue growth in the social media management category. Without the need of actors, cameras, or microphones, an AI video generator uses powerful natural language processing (NLP) and machine learning (ML) algorithms to create high-quality videos from text in a variety of languages. It is perfect for individuals who wish to create movies for personal use as well as small businesses that need additional content but cannot afford to hire specialists.

Text to Video AI Market, By Geography

• North America
• Europe
• Asia Pacific
• Rest of the world

Based on regional analysis, the Global Text to Video AI Market is classified into North America, Europe, Asia Pacific, and the Rest of the world. North America area dominated the Text to Video AI Market. North America is home to established nations with reliable infrastructure, like the US and Canada. The likes of Meta and Google have all released new products in the North American market for AI video generation. North America will have the fastest growth rate due to the region’s technological improvements. The escalating use of AI tools across the globe is also projected to fuel market growth.

Key Players

The “Global Text to Video AI Market” study report will provide a valuable insight with an emphasis on the global market. The major players in the market are Vimeo.com, Inc., Meta Platforms, Inc., De-Identification Ltd., Google LLC, Synthesia Limited, Veed Limited, Movio, Yepic AI Limited, Animatron, Inc., Ezoic, Inc.

Our market analysis also entails a section solely dedicated for such major players wherein our analysts provide an insight to the financial statements of all the major players, along with its product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share and market ranking analysis of the above-mentioned players globally.

Key Developments

• DALLE, an AI model that can create visuals from word descriptions, was unveiled by OpenAI. It takes a big step towards bridging the gap between text and visual material, even if it concentrates on image generation rather than full video generation.
• The development of AI models intended exclusively for creating videos has advanced. For instance, models like VideoBERT and ViTGAN have been created to produce videos based on textual inputs, allowing for more advanced text-to-video conversion capabilities.
• The realism and quality of generated videos have recently improved thanks to recent developments in deep learning and generative models. The visual fidelity and coherence of text-to-video AI outputs have been improved by using strategies like adversarial training, attention mechanisms, and reinforcement learning.

Market Attractiveness

The image of market attractiveness provided would further help to get information about the region that is majorly leading in the global Text to Video AI Market. We cover the major impacting factors that are responsible for driving the industry growth in the given region.

Ace Matrix Analysis

TheAce Matrixprovided in the report would help to understand how themajor key playersinvolved in this industry are performing as we provide arankingfor thesecompaniesbased on various factors such asservice features & innovations, scalability, innovation of services, industry coverage, industry reach, and growth roadmap. Based on these factors, werankthe companies into four categories asActive, Cutting Edge, Emerging, and Innovators.

Porter’s Five Forces

The image provided would further help to get information about Porter’s five forces framework providing a blueprint for understanding the behavior of competitors and a player’s strategic positioning in the respective industry. The porter’s five forces model can be used to assess the competitive landscape in Text to Video AI Market, gauge the attractiveness of a certain sector, and assess investment possibilities.

Report Scope

Research Methodology of Verified Market Research:

To know more about the Research Methodology and other aspects of the research study, kindly get in touch with ourSales Team at Verified Market Research.

Reasons to Purchase this Report:

• Qualitative and quantitative analysis of the market based on segmentation involving both economic as well as non-economic factors
• Provision of market value (USD Billion) data for each segment and sub-segment
• Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market
• Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region
• Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions and acquisitions in the past five years of companies profiled
• Extensive company profiles comprising of company overview, company insights, product benchmarking and SWOT analysis for the major market players
• The current as well as the future market outlook of the industry with respect to recent developments (which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions
• Includes an in-depth analysis of the market of various perspectives through Porter’s five forces analysis
• Provides insight into the market through Value Chain
• Market dynamics scenario, along with growth opportunities of the market in the years to come
• 6-month post-sales analyst support

Customization of the Report

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1 INTRODUCTION OF GLOBAL TEXT TO VIDEO AI MARKET

1.1 Overview of the Market
1.2 Scope of Report
1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH
3.1 Data Mining
3.2 Validation
3.3 Primary Interviews
3.4 List of Data Sources

4 GLOBAL TEXT TO VIDEO AI MARKET OUTLOOK
4.1 Overview
4.2 Market Dynamics
4.2.1 Drivers
4.2.2 Restraints
4.2.3 Opportunities
4.3 Porters Five Force Model
4.4 Value Chain Analysis

5 GLOBAL TEXT TO VIDEO AI MARKET, BY COMPONENT
5.1 Software
5.2 Services

6 GLOBAL TEXT TO VIDEO AI MARKET, BY END-USER
6.1 Marketers
6.2 Social Media Managers
6.3 Educators & Course Creators
6.4 Content creators
6.5 Corporate Professionals
6.6 Others

7 GLOBAL TEXT TO VIDEO AI MARKET, BY GEOGRAPHY
7.1 Overview
7.2 North America
7.2.1 U.S.
7.2.2 Canada
7.2.3 Mexico
7.3 Europe
7.3.1 Germany
7.3.2 U.K.
7.3.3 France
7.3.4 Rest of Europe
7.4 Asia Pacific
7.4.1 China
7.4.2 Japan
7.4.3 India
7.4.4 Rest of Asia Pacific
7.5 Rest of the World
7.5.1 Latin America
7.5.2 Middle East and Africa

8 GLOBAL TEXT TO VIDEO AI MARKET COMPETITIVE LANDSCAPE
8.1 Overview
8.2 Company Market Ranking
8.3 Key Development Strategies

9 COMPANY PROFILES

9.1 Vimeo.com, Inc.
9.1.1 Overview
9.1.2 Financial Performance
9.1.3 Product Outlook
9.1.4 Key Developments

9.2 MetaPlatforms, Inc.
9.2.1 Overview
9.2.2 Financial Performance
9.2.3 Product Outlook
9.2.4 Key Developments

9.3 De-Identification Ltd.
9.3.1 Overview
9.3.2 Financial Performance
9.3.3 Product Outlook
9.3.4 Key Developments

9.4 Google LLC
9.4.1 Overview
9.4.2 Financial Performance
9.4.3 Product Outlook
9.4.4 Key Developments

9.5 Synthesia Limited
9.5.1 Overview
9.5.2 Financial Performance
9.5.3 Product Outlook
9.5.4 Key Developments

9.6 Veed Limited
9.6.1 Overview
9.6.2 Financial Performance
9.6.3 Product Outlook
9.6.4 Key Developments

9.7 Movio
9.7.1 Overview
9.7.2 Financial Performance
9.7.3 Product Outlook
9.7.4 Key Developments

9.8 Yepic AI Limited
9.8.1 Overview
9.8.2 Financial Performance
9.8.3 Product Outlook
9.8.4 Key Developments

9.9 Animatron, Inc
9.9.1 Overview
9.9.2 Financial Performance
9.9.3 Product Outlook
9.9.4 Key Developments

9.10 Ezoic, Inc.
9.10.1 Overview
9.10.2 Financial Performance
9.10.3 Product Outlook
9.10.4 Key Developments

10 Appendix
10.1.1 Related Research

Report Research Methodology

We appoint data triangulation strategies to explore different areas of the market. This way, we ensure that all our clients get reliable insights associated with the market. Different elements of research methodology appointed by our experts include:

Exploratory data mining

For understanding the entire market landscape, we need to get details about the past and ongoing trends also. To achieve this, we collect data from different members of the market (distributors and suppliers) along with government websites.

Last piece of the ‘market research’ puzzle is done by going through the data collected from questionnaires, journals and surveys. VMR analysts also give emphasis to different industry dynamics such as market drivers, restraints and monetary trends. As a result, the final set of collected data is a combination of different forms of raw statistics. All of this data is carved into usable information by putting it through authentication procedures and by using best in-class cross-validation techniques.

Data Collection Matrix

Econometrics and data visualization model

The collected data includes market dynamics, technology landscape, application development and pricing trends. All of this is fed to the research model which then churns out the relevant data for market study.

Our market research experts offer both short-term (econometric models) and long-term analysis (technology market model) of the market in the same report. This way, the clients can achieve all their goals along with jumping on the emerging opportunities. Technological advancements, new product launches and money flow of the market is compared in different cases to showcase their impacts over the forecasted period.

Analysts use correlation, regression and time series analysis to deliver reliable business insights. Our experienced team of professionals diffuse the technology landscape, regulatory frameworks, economic outlook and business principles to share the details of external factors on the market under investigation.

Different demographics are analyzed individually to give appropriate details about the market. After this, all the region-wise data is joined together to serve the clients with glo-cal perspective. We ensure that all the data is accurate and all the actionable recommendations can be achieved in record time. We work with our clients in every step of the work, from exploring the market to implementing business plans. We largely focus on the following parameters for forecasting about the market under lens:

• Market drivers and restraints, along with their current and expected impact
• Raw material scenario and supply v/s price trends
• Regulatory scenario and expected developments
• Current capacity and expected capacity additions up to 2027

We assign different weights to the above parameters. This way, we are empowered to quantify their impact on the market’s momentum. Further, it helps us in delivering the evidence related to market growth rates.

Primary validation

Different members of the market’s value chain such as suppliers, distributors, vendors and end consumers are also approached to deliver an unbiased market picture. All the interviews are conducted across the globe. There is no language barrier due to our experienced and multi-lingual team of professionals. Interviews have the capability to offer critical insights about the market. Current business scenarios and future market expectations escalate the quality of our five-star rated market research reports. Our highly trained team use the primary research with Key Industry Participants (KIPs) for validating the market forecasts:

• Established market players
• Raw data suppliers
• Network participants such as distributors
• End consumers

The aims of doing primary research are:

• Verifying the collected data in terms of accuracy and reliability.
• To understand the ongoing market trends and to foresee the future market growth patterns.

Industry Analysis Matrix

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