텍스트-비디오 AI 세계 시장은 2024년에 1억 8,951만 달러로 평가되었고, 2030년까지 연평균 복합 성장률(CAGR) 33.71%로 성장하여 2030년에는 10억 8,294만 달러에 이를 것으로 예측됩니다.
텍스트-비디오 AI 세계 시장이란 입력된 텍스트 프롬프트에서 비디오 컨텐츠를 자동으로 생성하는 인공지능 기술을 중심으로 한 산업을 말합니다. 이 기술은 자연어 처리, 컴퓨터 비전, 생성 모델을 활용하여 사실적인 동영상을 생성하고, 사용자가 간단한 설명을 역동적인 멀티미디어 출력으로 변환할 수 있도록 합니다. 방대한 시간, 기술력, 리소스를 필요로 하는 기존의 비디오 제작과는 달리, 텍스트-투-비디오 변환 플랫폼은 기업, 교육자, 마케팅 담당자 및 개인이 더 빠르고, 더 확장 가능하며, 기업, 교육자, 마케팅 담당자 및 개인이 접근할 수 있도록 함으로써 컨텐츠 제작을 민주화합니다. 커뮤니케이션, 인게이지먼트, 브랜드 스토리텔링을 위한 가장 효과적인 미디어로 동영상을 우선시하는 기업이 늘어나면서 이 시장은 점점 더 탄력을 받고 있습니다.
| 시장 개요 | |
|---|---|
| 예측 기간 | 2026-2030년 |
| 시장 규모 : 2024년 | 1억 8,951만 달러 |
| 시장 규모 : 2030년 | 10억 8,294만 달러 |
| CAGR : 2025-2030년 | 33.71% |
| 급성장 부문 | 교육 |
| 최대 시장 | 북미 |
세계 텍스트-비디오 AI 시장의 성장은 마케팅, 전자상거래, 미디어, 교육 등의 산업에서 개인화된 온디맨드 컨텐츠에 대한 수요가 급증하고 있는 것이 가장 큰 요인으로 작용하고 있습니다. 기업들은 전문 제작팀 없이도 비용 효율적인 홍보 영상, 제품 시연, 교육 모듈, 설명용 컨텐츠를 제작하기 위해 이러한 솔루션을 채택하고 있습니다. 또한, 소셜 미디어 플랫폼과 디지털 마케팅 캠페인에 AI 기반 동영상 제작을 통합함으로써 도입이 가속화되고 있습니다. 소비자의 주의력이 떨어지고 매력적인 동영상 컨텐츠에 대한 수요가 증가함에 따라 기업들은 경쟁력을 유지하고, 납기를 단축하고, 창의적인 워크플로우를 최적화하기 위해 텍스트에서 동영상으로 변환하는 툴을 활용하고 있습니다.
텍스트-비디오 AI 세계 시장은 지속적인 기술 발전과 산업 전반의 도입으로 인해 크게 확대될 것으로 예측됩니다. 생성형 AI의 진화, 특히 딥러닝 모델의 개선으로 영상의 품질, 사실감, 커스터마이징이 향상되어 인간이 만든 컨텐츠와 구분할 수 없을 정도의 출력이 가능해졌습니다. 또한, AI 인프라의 비용 절감, 클라우드 기반 플랫폼의 가용성 향상, 전 세계적인 인터넷 보급의 확대로 인해 텍스트에서 비디오로의 솔루션이 중소기업에 더욱 친숙해질 것으로 보입니다. 책임감 있는 AI의 활용과 컨텐츠의 신뢰도 등 윤리적 고려도 시장의 궤도를 형성할 것으로 보입니다. 전반적으로 이 시장은 디지털 컨텐츠 생태계의 핵심이 될 것이며, 조직과 개인이 대규모로 동영상을 제작, 배포, 소비하는 방식에 혁명을 일으킬 것으로 예측됩니다.
비용 효율적인 동영상 제작에 대한 수요 증가
윤리적 우려와 악용 위험
마케팅 및 광고에 텍스트-비디오 AI를 통합하는 방법
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 Period | 2026-2030 |
| Market Size 2024 | USD 189.51 Million |
| Market Size 2030 | USD 1082.94 Million |
| CAGR 2025-2030 | 33.71% |
| Fastest Growing Segment | Education |
| Largest Market | North 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.
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:
Company Profiles: Detailed analysis of the major companies present in the Global Text-to-Video AI Market.
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: