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文字轉視訊人工智慧市場－全球產業規模、佔有率、趨勢、機會和預測，按組件、按最終用戶、按行業、按地區、按競爭細分（2020-2030 年）

Text-to-Video AI Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Component, By End User, By Industry, By Region, By Competition 2020-2030F
出版日期: | 出版商: TechSci Research | 英文 185 Pages | 商品交期: 2-3個工作天內

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簡介目錄

2024 年全球文字轉視訊人工智慧市場價值為 1.8951 億美元，預計到 2030 年將達到 10.8294 億美元，複合年成長率為 33.71%。全球文本轉影片人工智慧市場是指以人工智慧技術為中心的行業，該技術可根據書面文字提示自動產生視訊內容。該技術利用自然語言處理、電腦視覺和生成模型來創建逼真的影片，使用戶能夠將簡單的描述轉換為動態多媒體輸出。與需要大量時間、技術技能和資源的傳統影片製作不同，文字轉影片平台透過使內容創建更快、更具可擴展性且企業、教育工作者、行銷人員和個人都可以存取來實現民主化。隨著組織擴大將影片作為溝通、參與和品牌故事敘述的最有效媒介，市場發展勢頭強勁。

市場概況
預測期 2026-2030
2024年市場規模 1.8951億美元
2030年市場規模 10.8294億美元
2025-2030年複合年成長率 33.71%
成長最快的領域 教育
最大的市場 北美洲

全球文字轉視訊人工智慧市場的成長主要源自於行銷、電商、媒體和教育等產業對個人化和隨選內容需求的激增。企業正在採用這些解決方案，無需專業製作團隊即可創建經濟高效的宣傳影片、產品演示、培訓模組和講解內容。此外，將人工智慧驅動的影片創作融入社群媒體平台和數位行銷活動也正在加速其應用。隨著消費者注意力持續時間的縮短和對引人入勝的視訊內容需求的上升，企業正在利用文字轉視訊工具來保持競爭優勢、縮短週轉時間並最佳化創意工作流程。

由於技術的持續進步和跨行業的應用，全球文本轉影片人工智慧市場預計將大幅成長。生成式人工智慧的發展，尤其是深度學習模型的改進，將提升影片品質、真實感和客製化程度，使輸出內容與人工創作的內容更加逼真。此外，人工智慧基礎設施成本的下降、雲端平台可用性的提升以及全球網際網路普及率的不斷提高，將使中小企業更容易獲得文字轉視訊解決方案。負責任的人工智慧使用和內容真實性等道德考量也將影響市場的發展軌跡。總體而言，該市場將成為數位內容生態系統的基石，徹底改變組織和個人大規模製作、分發和消費影片的方式。

關鍵市場促進因素

對具成本效益影片製作的需求不斷成長

主要市場挑戰

倫理問題和濫用風險

主要市場趨勢

文字轉影片人工智慧在行銷和廣告中的整合

目錄

第 1 章：解決方案概述

  • 市場定義
  • 市場範圍
    • 覆蓋市場
    • 考慮學習的年限
    • 主要市場區隔

第2章：研究方法

第3章：執行摘要

第4章：顧客之聲

第5章：全球文本轉影片人工智慧市場展望

  • 市場規模和預測
    • 按價值
  • 市場佔有率和預測
    • 按組件（解決方案、服務）
    • 按最終用戶（行銷人員、社群媒體經理、教育工作者和課程創作者、內容創作者、企業專業人士、其他）
    • 按行業（教育、食品和飲料、媒體和娛樂、時尚和美容、零售和電子商務、健康和保健、旅遊和酒店、房地產、其他）
    • 按地區（北美、歐洲、南美、中東和非洲、亞太地區）
  • 按公司分類（2024 年）
  • 市場地圖

第6章：北美文本轉影片人工智慧市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • 北美：國家分析
    • 美國
    • 加拿大
    • 墨西哥

第7章：歐洲文本轉影片人工智慧市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • 歐洲：國家分析
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙

第8章：亞太地區文字轉影片人工智慧市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • 亞太地區：國家分析
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲

第9章：中東和非洲文本轉影片人工智慧市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • 中東和非洲：國家分析
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非

第10章：南美洲文本轉影片人工智慧市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • 南美洲：國家分析
    • 巴西
    • 哥倫比亞
    • 阿根廷

第 11 章：市場動態

  • 驅動程式
  • 挑戰

第 12 章：市場趨勢與發展

  • 合併與收購（如有）
  • 產品發布（如有）
  • 最新動態

第13章：公司簡介

  • 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：策略建議

第15章調查會社について,免責事項

簡介目錄
Product Code: 30669

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.

Market Overview
Forecast Period2026-2030
Market Size 2024USD 189.51 Million
Market Size 2030USD 1082.94 Million
CAGR 2025-203033.71%
Fastest Growing SegmentEducation
Largest MarketNorth America

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