AI Watermarking Market Analysis by Share, Trends & Forecast Report, 2033 | UnivDatos

According to a new report by UnivDatos, the AI Watermarking Market is expected to reach USD million in 2033 by growing at a CAGR of 24.96% during the forecast period (2025- 2033). AI watermarking is a technique that integrates a unique and recognizable tag or pattern in AI-generated content, images, audio, videos, and text to prevent plagiarism. That tag or pattern is called a watermark, which can be scanned by algorithms. With the exposure of generative AI tools such as ChatGPT and Midjourney, anyone can create images, videos, or content that looks genuine and real, which can spread misinformation among people. For example, a fake image of the Pope wearing a white puffer jacket went viral in the year 2023 because people thought it was real. In fact, that image was created by Midjourney, which is a generative AI tool.

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Scammers can use these tools to create phishing emails that look professional and trick people into clicking on the link, giving away passwords and data, as normal emails are full of grammatical mistakes. Scammers can even clone the voice of any person using AI, hence tricking people by pretending to be a bank manager, executive, friend, or family member and asking them to send money or share confidential information. In the USA, in 2023, a scammer cloned a girl’s voice and called her family member, and almost tricked them into paying the ransom amount. To prevent such acts and activities, watermarks are linked in AI-generated content to distinguish between which ones are real and which ones are fake. For instance, in 2025, the government of the United States of America, under President Donald Trump, invested USD 500 billion in the AI ecosystem. Moreover, in 2024, the US private investment in AI reached USD 109.1 billion. In July 2023, President Donald Trump started a program named “America’s AI Action Plan”, aimed to boost the U.S. position in AI through innovations, enhancing infrastructure, and security. 

Segments that transform the industry

• Based on component, the AI Watermarking market is segmented into Software, Hardware, and Services. In 2024, the software segment dominated the market and is expected to maintain its leading position throughout the forecast period. With the rise in generative AI models, the demand for security against theft, model cloning, and phishing attacks is increasing as well, and software is coded with algorithms and APIs that can find the image, video, audio, or content that is AI-generated. Furthermore, software is flexible in nature; therefore, it can be integrated into any development department. Further, companies are looking for tools that can easily be integrated with their AI pipelines, cloud platforms, and existing systems. Moreover, generative AI tools such as ChatGPT, DALLE, and Midjourney operate on a cloud platform, and a software solution goes well with a cloud platform. Software can be operated remotely and can process large amounts of AI output daily. The attributes such as flexibility, scalability, and compatibility with cloud-based platforms make software dominate the market.

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According to the report, the impact of AI Watermarking has been identified to be high for the North America region. Some of how this impact has been felt include:

• The North America AI Watermarking market dominated the global AI Watermarking market in 2024 and is forecasted to remain in this position in the forecast period. This is due to the early adoption of technologies, specifically in cloud computing, cybersecurity, and SaaS applications. Furthermore, government programs such as Coalition for Content Provenance and Authenticity (C2PA) provide a global standard for content labeling, to ensure content originality, hence making watermarking an important aspect. Such programs have strengthened their position and encouraged both public and private firms to use watermarking technologies against deepfakes, misinformation, and content plagiarism. Additionally, the region's strong infrastructure and extensive use of AI content have significantly boosted its growth. Moreover, to ensure content authenticity and protect it from plagiarism, the use of AI watermark has increased as generative AI is now used for content writing, media, entertainment, and advertising. For instance, Cisco has also provided a fund of USD 1 million for the enhancement of AI tools and startups.

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