文字转视讯人工智慧市场－全球产业规模、份额、趋势、机会和预测，按组件、按最终用户、按行业、按地区、按竞争细分（2020-2030 年）

2024 年全球文字转视讯人工智慧市场价值为 1.8951 亿美元，预计到 2030 年将达到 10.8294 亿美元，复合年增长率为 33.71%。全球文本转视频人工智慧市场是指以人工智慧技术为中心的行业，该技术可根据书面文字提示自动产生视讯内容。该技术利用自然语言处理、电脑视觉和生成模型来创建逼真的视频，使用户能够将简单的描述转换为动态多媒体输出。与需要大量时间、技术技能和资源的传统影片製作不同，文字转影片平台透过使内容创建更快、更具可扩展性且企业、教育工作者、行销人员和个人都可以存取来实现民主化。随着组织越来越多地将影片作为沟通、参与和品牌故事叙述的最有效媒介，市场发展势头强劲。

全球文字转视讯人工智慧市场的成长主要源自于行销、电商、媒体和教育等产业对个人化和随选内容需求的激增。企业正在采用这些解决方案，无需专业製作团队即可创建经济高效的宣传影片、产品演示、培训模组和讲解内容。此外，将人工智慧驱动的影片创作融入社群媒体平台和数位行销活动也正在加速其应用。随着消费者註意力持续时间的缩短和对引人入胜的视讯内容需求的上升，企业正在利用文字转视讯工具来保持竞争优势、缩短週转时间并优化创意工作流程。

由于技术的持续进步和跨行业的应用，全球文本转视频人工智慧市场预计将大幅增长。生成式人工智慧的发展，尤其是深度学习模型的改进，将提升影片品质、真实感和客製化程度，使输出内容与人工创作的内容更加逼真。此外，人工智慧基础设施成本的下降、云端平台可用性的提升以及全球互联网普及率的不断提高，将使中小企业更容易获得文字转视讯解决方案。负责任的人工智慧使用和内容真实性等道德考量也将影响市场的发展轨迹。总体而言，该市场将成为数位内容生态系统的基石，彻底改变组织和个人大规模製作、分发和消费影片的方式。

关键市场驱动因素

对高性价比影片製作的需求不断增长

主要市场挑战

伦理问题和滥用风险

主要市场趋势

文字转影片人工智慧在行销和广告中的整合

目录

第 1 章：解决方案概述

• 市场定义
• 市场范围
  • 覆盖市场
  • 考虑学习的年限
  • 主要市场区隔

第二章：研究方法

第三章：执行摘要

第四章：顾客之声

第五章：全球文本转视频人工智慧市场展望

• 市场规模和预测
  • 按价值
• 市场占有率和预测
  • 按组件（解决方案、服务）
  • 按最终用户（行销人员、社群媒体经理、教育工作者和课程创作者、内容创作者、企业专业人士、其他）
  • 按行业（教育、食品和饮料、媒体和娱乐、时尚和美容、零售和电子商务、健康和保健、旅游和酒店、房地产、其他）
  • 按地区（北美、欧洲、南美、中东和非洲、亚太地区）
• 按公司分类（2024 年）
• 市场地图

第六章：北美文本转视频人工智慧市场展望

• 市场规模和预测
• 市场占有率和预测
• 北美：国家分析
  • 美国
  • 加拿大
  • 墨西哥

第七章：欧洲文本转视频人工智慧市场展望

• 市场规模和预测
• 市场占有率和预测
• 欧洲：国家分析
  • 德国
  • 法国
  • 英国
  • 义大利
  • 西班牙

第八章：亚太地区文字转视频人工智慧市场展望

• 市场规模和预测
• 市场占有率和预测
• 亚太地区：国家分析
  • 中国
  • 印度
  • 日本
  • 韩国
  • 澳洲

第九章：中东和非洲文本转视频人工智慧市场展望

• 市场规模和预测
• 市场占有率和预测
• 中东和非洲：国家分析
  • 沙乌地阿拉伯
  • 阿联酋
  • 南非

第十章：南美洲文本转视频人工智慧市场展望

• 市场规模和预测
• 市场占有率和预测
• 南美洲：国家分析
  • 巴西
  • 哥伦比亚
  • 阿根廷

第 11 章：市场动态

• 驱动程式
• 挑战

第 12 章：市场趋势与发展

• 合併与收购（如有）
• 产品发布（如有）
• 最新动态

第十三章：公司简介

• GliaCloud Inc.
• Designs.ai Pte. Ltd.
• Pictory Corp.
• Raw Shorts, Inc.
• Wochit, Inc.
• Vimeo, Inc.
• Vedia, Inc.
• Lumen5 Technologies Ltd.
• Synthesia Limited
• Steve AI, Inc.

第 14 章：策略建议

第15章调查会社について・免责事项

The Global Text-to-Video AI Market was valued at USD 189.51 Million in 2024 and is expected to reach USD 1082.94 Million by 2030 with a CAGR of 33.71% through 2030. The Global Text-to-Video AI Market refers to the industry centered around artificial intelligence technologies that automatically generate video content from written text prompts. This technology leverages natural language processing, computer vision, and generative models to create realistic videos, enabling users to transform simple descriptions into dynamic multimedia outputs. Unlike traditional video production, which requires extensive time, technical skills, and resources, text-to-video platforms democratize content creation by making it faster, more scalable, and accessible to businesses, educators, marketers, and individuals. The market has gained momentum as organizations increasingly prioritize video as the most effective medium for communication, engagement, and brand storytelling.

The growth of the Global Text-to-Video AI Market is largely driven by the surge in demand for personalized and on-demand content across industries such as marketing, e-commerce, media, and education. Enterprises are adopting these solutions to create cost-efficient promotional videos, product demonstrations, training modules, and explainer content without needing professional production teams. Additionally, the integration of AI-driven video creation into social media platforms and digital marketing campaigns is accelerating adoption. As consumer attention spans shrink and the demand for engaging video content rises, companies are leveraging text-to-video tools to maintain a competitive edge, reduce turnaround times, and optimize creative workflows.

The Global Text-to-Video AI Market is expected to rise significantly due to ongoing technological advancements and cross-industry adoption. The evolution of generative AI, particularly improvements in deep learning models, will enhance video quality, realism, and customization, making outputs more indistinguishable from human-created content. Furthermore, declining costs of AI infrastructure, increasing availability of cloud-based platforms, and expanding global internet penetration will make text-to-video solutions more accessible to small and medium enterprises. Ethical considerations, such as responsible AI usage and content authenticity, will also shape the market's trajectory. Overall, the market is set to become a cornerstone of the digital content ecosystem, revolutionizing how organizations and individuals produce, distribute, and consume video at scale.

Key Market Drivers

Rising Demand for Cost-Effective Video Production

The Global Text-to-Video AI Market is primarily driven by the urgent need for cost-effective and scalable video production solutions. Traditional video creation involves high expenses, including professional filming equipment, studio setups, editing teams, and actors. Such processes not only require substantial financial investment but also extended production timelines. In contrast, text-to-video AI platforms democratize video creation by enabling users to generate professional-grade videos using only text prompts. This innovation empowers businesses of all sizes, from multinational corporations to small enterprises, to create marketing campaigns, product demonstrations, and training content without incurring excessive production costs. By reducing dependency on human-intensive workflows, text-to-video AI accelerates creative cycles and lowers the financial barriers to entry in video marketing.

Another dimension of cost efficiency lies in the ability of AI-driven video tools to continuously repurpose and localize content. Enterprises can instantly generate videos in multiple languages or adapt messages for different cultural contexts without reinvesting in expensive production teams. This is particularly relevant in global markets where localization determines consumer engagement and brand relevance. Cost savings also translate into greater inclusivity, as educational institutions, start-ups, and non-profits can leverage the technology for outreach and training initiatives. With rising digital advertising expenditure worldwide, the cost-effectiveness of text-to-video AI solutions has positioned them as indispensable assets in content strategies. According to the Interactive Advertising Bureau (IAB), global digital video advertising spending reached USD 65 billion in 2023, reflecting brands' growing reliance on video as a communication tool. As production costs continue to rise, enterprises are increasingly adopting text-to-video AI to streamline workflows and create scalable, cost-efficient video campaigns.

Key Market Challenges

Ethical Concerns and Risk of Misuse

One of the most pressing challenges confronting the Global Text-to-Video AI Market is the ethical complexity associated with content authenticity and the potential for misuse. While the technology offers extraordinary opportunities for creativity and efficiency, it also raises the risk of generating misleading or deceptive content, often referred to as synthetic or manipulated media. These concerns are amplified by the growing ability of generative artificial intelligence models to create highly realistic videos that may appear indistinguishable from those produced by professional human creators. Such realism introduces a profound risk to public trust, as malicious actors could exploit the technology to create disinformation, fabricated news, or harmful propaganda. In environments such as politics, journalism, and education, the potential consequences of this misuse are particularly alarming. This ethical dimension not only threatens consumer confidence but also compels policymakers and organizations to introduce strict regulations and guidelines, thereby influencing the speed of adoption across industries. The debate over responsible usage highlights that innovation must progress hand in hand with ethical safeguards, without which the market could face reputational and operational setbacks.

The challenge extends further to intellectual property rights and ownership. As artificial intelligence systems generate videos derived from training datasets, disputes emerge over whether such content infringes on copyrighted materials or whether creators deserve compensation if their work is indirectly used in training processes. This uncertainty complicates the adoption of text-to-video tools by enterprises that must carefully assess the legal risks associated with deploying AI-generated content at scale. Moreover, the ethical question of disclosure arises-should audiences be explicitly informed when they are viewing AI-generated videos? Transparency will be crucial in establishing trust, but achieving global consensus on disclosure standards remains a complex undertaking. For the Global Text-to-Video AI Market to achieve sustainable growth, it must navigate these ethical challenges by fostering transparent usage practices, developing watermarking technologies, and collaborating with regulators to ensure responsible innovation. Without addressing these fundamental risks, adoption may slow, and the market could face backlash from industries and consumers wary of unverified or potentially manipulative content.

Key Market Trends

Integration of Text-to-Video AI in Marketing and Advertising

A dominant trend shaping the Global Text-to-Video AI Market is the rapid integration of artificial intelligence-driven video generation into marketing and advertising strategies. Brands are constantly searching for ways to deliver personalized and engaging messages to target audiences while reducing creative production costs. Text-to-video artificial intelligence enables marketers to transform campaign ideas into compelling video content almost instantly, allowing companies to launch highly customized advertisements for different demographics, cultural contexts, and geographies. This automation supports faster content cycles, critical for brands competing on digital and social platforms where consumer attention spans are extremely limited. By streamlining video creation, companies can allocate resources more efficiently and focus on data-driven campaign optimization rather than manual production processes.

This trend is further fueled by the increasing shift of consumer engagement toward video-first platforms such as YouTube, TikTok, and Instagram. With the demand for short-form and highly interactive content rising, text-to-video artificial intelligence allows brands to create diverse assets at scale without sacrificing personalization. By leveraging real-time customer data and artificial intelligence-driven insights, enterprises can generate video ads that reflect consumer behavior and preferences, increasing conversion rates and return on investment. Over the coming years, the integration of text-to-video artificial intelligence in marketing is expected to revolutionize the way organizations interact with their customers, setting a new benchmark for personalization, efficiency, and brand storytelling.

Key Market Players

• GliaCloud Inc.
• Designs.ai Pte. Ltd.
• Pictory Corp.
• Raw Shorts, Inc.
• Wochit, Inc.
• Vimeo, Inc.
• Vedia, Inc.
• Lumen5 Technologies Ltd.
• Synthesia Limited
• Steve AI, Inc.

Report Scope:

In this report, the Global Text-to-Video AI Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Text-to-Video AI Market, By Component:

• Solution
• Services

Text-to-Video AI Market, By End User:

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

Text-to-Video AI Market, By Industry:

• Education
• Food & Beverages
• Media & Entertainment
• Fashion & Beauty
• Retail & Ecommerce
• Health & Wellness
• Travel & Hospitality
• Real Estate
• Others

Text-to-Video AI Market, By Region:

• North America
  • United States
  • Canada
  • Mexico
• Europe
  • Germany
  • France
  • United Kingdom
  • Italy
  • Spain
• Asia Pacific
  • China
  • India
  • Japan
  • South Korea
  • Australia
• Middle East & Africa
  • Saudi Arabia
  • UAE
  • South Africa
• South America
  • Brazil
  • Colombia
  • Argentina

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Text-to-Video AI Market.

Available Customizations:

Global Text-to-Video AI Market report with the given market data, Tech Sci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

• Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Solution Overview

• 1.1. Market Definition
• 1.2. Scope of the Market
  • 1.2.1. Markets Covered
  • 1.2.2. Years Considered for Study
  • 1.2.3. Key Market Segmentations

2. Research Methodology

• 2.1. Objective of the Study
• 2.2. Baseline Methodology
• 2.3. Key Industry Partners
• 2.4. Major Association and Secondary Sources
• 2.5. Forecasting Methodology
• 2.6. Data Triangulation & Validation
• 2.7. Assumptions and Limitations

3. Executive Summary

• 3.1. Overview of the Market
• 3.2. Overview of Key Market Segmentations
• 3.3. Overview of Key Market Players
• 3.4. Overview of Key Regions/Countries
• 3.5. Overview of Market Drivers, Challenges, and Trends

4. Voice of Customer

5. Global Text-to-Video AI Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Component (Solution, Services)
  • 5.2.2. By End User (Marketers, Social Media Managers, Educators & Course Creators, Content Creators, Corporate Professionals, Others)
  • 5.2.3. By Industry (Education, Food & Beverages, Media & Entertainment, Fashion & Beauty, Retail & Ecommerce, Health & Wellness, Travel & Hospitality, Real Estate, Others)
  • 5.2.4. By Region (North America, Europe, South America, Middle East & Africa, Asia Pacific)
• 5.3. By Company (2024)
• 5.4. Market Map

6. North America Text-to-Video AI Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By Component
  • 6.2.2. By End User
  • 6.2.3. By Industry
  • 6.2.4. By Country
• 6.3. North America: Country Analysis
  • 6.3.1. United States Text-to-Video AI Market Outlook
    • 6.3.1.1. Market Size & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share & Forecast
      • 6.3.1.2.1. By Component
      • 6.3.1.2.2. By End User
      • 6.3.1.2.3. By Industry
  • 6.3.2. Canada Text-to-Video AI Market Outlook
    • 6.3.2.1. Market Size & Forecast
      • 6.3.2.1.1. By Value
    • 6.3.2.2. Market Share & Forecast
      • 6.3.2.2.1. By Component
      • 6.3.2.2.2. By End User
      • 6.3.2.2.3. By Industry
  • 6.3.3. Mexico Text-to-Video AI Market Outlook
    • 6.3.3.1. Market Size & Forecast
      • 6.3.3.1.1. By Value
    • 6.3.3.2. Market Share & Forecast
      • 6.3.3.2.1. By Component
      • 6.3.3.2.2. By End User
      • 6.3.3.2.3. By Industry

7. Europe Text-to-Video AI Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Component
  • 7.2.2. By End User
  • 7.2.3. By Industry
  • 7.2.4. By Country
• 7.3. Europe: Country Analysis
  • 7.3.1. Germany Text-to-Video AI Market Outlook
    • 7.3.1.1. Market Size & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share & Forecast
      • 7.3.1.2.1. By Component
      • 7.3.1.2.2. By End User
      • 7.3.1.2.3. By Industry
  • 7.3.2. France Text-to-Video AI Market Outlook
    • 7.3.2.1. Market Size & Forecast
      • 7.3.2.1.1. By Value
    • 7.3.2.2. Market Share & Forecast
      • 7.3.2.2.1. By Component
      • 7.3.2.2.2. By End User
      • 7.3.2.2.3. By Industry
  • 7.3.3. United Kingdom Text-to-Video AI Market Outlook
    • 7.3.3.1. Market Size & Forecast
      • 7.3.3.1.1. By Value
    • 7.3.3.2. Market Share & Forecast
      • 7.3.3.2.1. By Component
      • 7.3.3.2.2. By End User
      • 7.3.3.2.3. By Industry
  • 7.3.4. Italy Text-to-Video AI Market Outlook
    • 7.3.4.1. Market Size & Forecast
      • 7.3.4.1.1. By Value
    • 7.3.4.2. Market Share & Forecast
      • 7.3.4.2.1. By Component
      • 7.3.4.2.2. By End User
      • 7.3.4.2.3. By Industry
  • 7.3.5. Spain Text-to-Video AI Market Outlook
    • 7.3.5.1. Market Size & Forecast
      • 7.3.5.1.1. By Value
    • 7.3.5.2. Market Share & Forecast
      • 7.3.5.2.1. By Component
      • 7.3.5.2.2. By End User
      • 7.3.5.2.3. By Industry

8. Asia Pacific Text-to-Video AI Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Component
  • 8.2.2. By End User
  • 8.2.3. By Industry
  • 8.2.4. By Country
• 8.3. Asia Pacific: Country Analysis
  • 8.3.1. China Text-to-Video AI Market Outlook
    • 8.3.1.1. Market Size & Forecast
      • 8.3.1.1.1. By Value
    • 8.3.1.2. Market Share & Forecast
      • 8.3.1.2.1. By Component
      • 8.3.1.2.2. By End User
      • 8.3.1.2.3. By Industry
  • 8.3.2. India Text-to-Video AI Market Outlook
    • 8.3.2.1. Market Size & Forecast
      • 8.3.2.1.1. By Value
    • 8.3.2.2. Market Share & Forecast
      • 8.3.2.2.1. By Component
      • 8.3.2.2.2. By End User
      • 8.3.2.2.3. By Industry
  • 8.3.3. Japan Text-to-Video AI Market Outlook
    • 8.3.3.1. Market Size & Forecast
      • 8.3.3.1.1. By Value
    • 8.3.3.2. Market Share & Forecast
      • 8.3.3.2.1. By Component
      • 8.3.3.2.2. By End User
      • 8.3.3.2.3. By Industry
  • 8.3.4. South Korea Text-to-Video AI Market Outlook
    • 8.3.4.1. Market Size & Forecast
      • 8.3.4.1.1. By Value
    • 8.3.4.2. Market Share & Forecast
      • 8.3.4.2.1. By Component
      • 8.3.4.2.2. By End User
      • 8.3.4.2.3. By Industry
  • 8.3.5. Australia Text-to-Video AI Market Outlook
    • 8.3.5.1. Market Size & Forecast
      • 8.3.5.1.1. By Value
    • 8.3.5.2. Market Share & Forecast
      • 8.3.5.2.1. By Component
      • 8.3.5.2.2. By End User
      • 8.3.5.2.3. By Industry

9. Middle East & Africa Text-to-Video AI Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Component
  • 9.2.2. By End User
  • 9.2.3. By Industry
  • 9.2.4. By Country
• 9.3. Middle East & Africa: Country Analysis
  • 9.3.1. Saudi Arabia Text-to-Video AI Market Outlook
    • 9.3.1.1. Market Size & Forecast
      • 9.3.1.1.1. By Value
    • 9.3.1.2. Market Share & Forecast
      • 9.3.1.2.1. By Component
      • 9.3.1.2.2. By End User
      • 9.3.1.2.3. By Industry
  • 9.3.2. UAE Text-to-Video AI Market Outlook
    • 9.3.2.1. Market Size & Forecast
      • 9.3.2.1.1. By Value
    • 9.3.2.2. Market Share & Forecast
      • 9.3.2.2.1. By Component
      • 9.3.2.2.2. By End User
      • 9.3.2.2.3. By Industry
  • 9.3.3. South Africa Text-to-Video AI Market Outlook
    • 9.3.3.1. Market Size & Forecast
      • 9.3.3.1.1. By Value
    • 9.3.3.2. Market Share & Forecast
      • 9.3.3.2.1. By Component
      • 9.3.3.2.2. By End User
      • 9.3.3.2.3. By Industry

10. South America Text-to-Video AI Market Outlook

• 10.1. Market Size & Forecast
  • 10.1.1. By Value
• 10.2. Market Share & Forecast
  • 10.2.1. By Component
  • 10.2.2. By End User
  • 10.2.3. By Industry
  • 10.2.4. By Country
• 10.3. South America: Country Analysis
  • 10.3.1. Brazil Text-to-Video AI Market Outlook
    • 10.3.1.1. Market Size & Forecast
      • 10.3.1.1.1. By Value
    • 10.3.1.2. Market Share & Forecast
      • 10.3.1.2.1. By Component
      • 10.3.1.2.2. By End User
      • 10.3.1.2.3. By Industry
  • 10.3.2. Colombia Text-to-Video AI Market Outlook
    • 10.3.2.1. Market Size & Forecast
      • 10.3.2.1.1. By Value
    • 10.3.2.2. Market Share & Forecast
      • 10.3.2.2.1. By Component
      • 10.3.2.2.2. By End User
      • 10.3.2.2.3. By Industry
  • 10.3.3. Argentina Text-to-Video AI Market Outlook
    • 10.3.3.1. Market Size & Forecast
      • 10.3.3.1.1. By Value
    • 10.3.3.2. Market Share & Forecast
      • 10.3.3.2.1. By Component
      • 10.3.3.2.2. By End User
      • 10.3.3.2.3. By Industry

11. Market Dynamics

• 11.1. Drivers
• 11.2. Challenges

12. Market Trends and Developments

• 12.1. Merger & Acquisition (If Any)
• 12.2. Product Launches (If Any)
• 12.3. Recent Developments

13. Company Profiles

• 13.1. GliaCloud Inc.
  • 13.1.1. Business Overview
  • 13.1.2. Key Revenue and Financials
  • 13.1.3. Recent Developments
  • 13.1.4. Key Personnel
  • 13.1.5. Key Product/Services Offered
• 13.2. Designs.ai Pte. Ltd.
• 13.3. Pictory Corp.
• 13.4. Raw Shorts, Inc.
• 13.5. Wochit, Inc.
• 13.6. Vimeo, Inc.
• 13.7. Vedia, Inc.
• 13.8. Lumen5 Technologies Ltd.
• 13.9. Synthesia Limited
• 13.10. Steve AI, Inc.

14. Strategic Recommendations

15. About Us & Disclaimer