세계의 AI 모델 워터마킹 시장 보고서(2025년)
Artificial Intelligence (AI) Model Watermarking Global Market Report 2025
상품코드 : 1888071
리서치사 : The Business Research Company
발행일 : On Demand Report
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한글목차

AI 모델 워터마킹 시장 규모는 최근 급격히 확대되고 있습니다. 2024년 3억 3,000만 달러로 평가되었고, 2025년에는 4억 2,000만 달러, CAGR 29.3%로 성장할 것으로 전망되고 있습니다. 지난 몇 년간의 성장은 딥페이크와 허위 정보에 대한 우려가 높아지고, 지적 재산 보호 수요 증가, 인공지능의 투명성에 대한 규제 당국의 중시, 클라우드 기반 인공지능 플랫폼의 이용 확대, 컨텐츠 인증의 필요성 증대 등이 요인으로 생각됩니다.

AI 모델 워터마킹 시장 규모는 향후 수년간 급성장할 것으로 전망됩니다. 2029년에는 11억 7,000만 달러에 달하고, CAGR은 29.0%를 나타낼 전망입니다. 예측 기간 중 성장 요인으로는 견고하고 불가시적인 워터마킹 기술에 대한 수요 증가, 모델 인증과 컨텐츠 검증에 대한 주목 증가, 미디어 및 엔터테인먼트 분야에서의 AI 도입 증가, 은행 및 금융 서비스 보험 의료 분야에서의 AI 워터마킹 기술의 활용 확대, AI 출력물에 있어서의 부정 검지 요구의 증대 등을 들 수 있습니다. 예측 기간의 주요 동향으로는 보이지 않는 신경 워터마킹 기술의 진보, 견고하고 하이브리드 워터마킹 기술의 혁신, 워터마킹 기술과 인공지능 모델 관리 플랫폼의 통합, 실시간 워터마킹 검출 도구의 진화, 크로스 플랫폼 및 클라우드 기반 워터마킹 기술의 혁신 등이 있습니다.

향후 수년간 사이버 위협의 고도화가 인공지능 모델 워터마킹 시장의 성장을 견인할 것으로 예측됩니다. 사이버 위협이란 랜섬웨어, 피싱, 클라우드 침해, 데이터 침입 등 데이터 시스템 및 디지털 컨텐츠의 도난, 변조, 악용을 목적으로 하는 악의적인 디지털 활동을 말합니다. 이러한 위협 증가는 첨단 기술, 인공지능을 활용한 공격, 확장하는 디지털 인프라에 의해 추진되고 있으며, 클라우드 플랫폼, 디바이스 및 통신 채널 전반에 걸쳐 복잡한 취약점을 낳고 있습니다. 인공지능 모델 워터마킹 기술은 인공지능이 생성한 출력에 추적 가능하고 변조 방지된 식별자를 내장하여 인증, 무단 사용 감지, 컨텐츠 변조 및 무단 복제로부터의 보호를 실현하고 이러한 위험을 완화합니다. 예를 들어, 이스라엘의 사이버 보안 기업인 Check Point Software Technologies에 따르면, 2024년 10월 보고서는 2024년 3분기에 조직이 받은 사이버 공격이 평균 1,876건에 이르렀으며, 2023년 동기 대비 75% 증가했습니다. 따라서 사이버위협의 고도화가 진행됨에 따라 인공지능 모델 워터마킹 시장의 성장이 촉진되고 있습니다.

인공지능 모델 워터마킹 시장에서 사업을 전개하는 주요 기업은 컨텐츠의 진정성 향상, 딥 페이크의 악용 방지, 디지털 플랫폼 전체에서의 저작권 귀속 지원을 목적으로, 불가시 신경 워터마킹 기술의 개발에 주력하고 있습니다. 보이지 않는 신경 워터마킹은 인공지능으로 생성된 미디어에 지각 불가능한 패턴이나 신호를 내장하고 나중에 검출함으로써 기원, 사용권, 모델 책임을 검증하는 기술을 말합니다. 예를 들어 2023년 8월 영국 소프트웨어 기업인 Google DeepMind는 Google Cloud의 Vertex AI 플랫폼에서 Imagen 모델을 사용하는 사용자를 위해 설계된 보이지 않는 신경 워터마킹 도구인 SynthID를 발표했습니다. 이 도구는 이중 신경망을 사용하여 이미지에 미세한 픽셀 수준의 패턴을 내장하고 편집, 크기 조정, 스크린 샷 후에도 워터 마크를 감지 할 수 있도록 설계되었습니다. 본 기술은 딥페이크와 허위 정보, 무허가 인공지능 생성 컨텐츠에 대한 우려의 고조에 대응하는 동시에, 안전하고 투명성이 높은 인공지능 시스템의 보급 촉진에 기여합니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 : 금리, 인플레이션, 지정학, 무역전쟁과 관세, 그리고 코로나 및 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계의 성장 분석과 전략 분석 프레임워크

제6장 시장 세분화

제7장 지역별/국가별 분석

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도와 기업 프로파일

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 부문, 전략

제36장 부록

SHW
영문 목차

영문목차

Artificial intelligence model watermarking refers to the process of embedding unique and verifiable signatures within artificial intelligence models to protect intellectual property, verify ownership, and prevent unauthorized use or duplication. Its primary objective is to safeguard proprietary artificial intelligence algorithms, ensuring that creators retain control over their models and can trace misuse or piracy. It also enables model authentication, strengthens trust in artificial intelligence deployment, supports regulatory compliance, and encourages the secure and responsible use of artificial intelligence technologies.

The primary components of artificial intelligence model watermarking include software and services. Software solutions consist of applications and platforms used to embed and detect watermarks within artificial intelligence models and their outputs. It provides various deployment modes, including on-premises and cloud-based, and utilizes several technologies such as visible watermarking, invisible watermarking, robust watermarking, fragile watermarking, and hybrid watermarking. It is applied for intellectual property protection, model authentication, content attribution, fraud detection, and other purposes and is used by several end-users, including banking, financial services and insurance, healthcare, media and entertainment, information technology and telecommunications, government, and others.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The rapid escalation of U.S. tariffs and the resulting trade tensions in spring 2025 are significantly impacting the information technology sector, particularly in hardware manufacturing, data infrastructure, and software deployment. Higher duties on imported semiconductors, circuit boards, and networking equipment have raised production and operational costs for tech firms, cloud service providers, and data centers. Companies relying on globally sourced components for laptops, servers, and consumer electronics are facing longer lead times and increased pricing pressures. In parallel, tariffs on specialized software tools and retaliatory measures from key international markets have disrupted global IT supply chains and reduced overseas demand for U.S.-developed technologies. To navigate these challenges, the sector is accelerating investments in domestic chip fabrication, diversifying supplier bases, and adopting AI-driven automation to enhance operational resilience and cost efficiency.

The artificial intelligence (AI) model watermarking market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI) model watermarking market statistics, including artificial intelligence (AI) model watermarking industry global market size, regional shares, competitors with a artificial intelligence (AI) model watermarking market share, detailed artificial intelligence (AI) model watermarking market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) model watermarking industry. This artificial intelligence (AI) model watermarking market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The artificial intelligence (AI) model watermarking market size has grown exponentially in recent years. It will grow from $0.33 billion in 2024 to $0.42 billion in 2025 at a compound annual growth rate (CAGR) of 29.3%. The growth during the historic period can be attributed to the growing concerns over deepfakes and misinformation, the increasing demand for intellectual property protection, the rising regulatory emphasis on artificial intelligence transparency, the growing use of cloud-based artificial intelligence platforms, and the increasing need for content authentication.

The artificial intelligence (AI) model watermarking market size is expected to see exponential growth in the next few years. It will grow to $1.17 billion in 2029 at a compound annual growth rate (CAGR) of 29.0%. The growth during the forecast period can be attributed to the growing demand for robust and invisible watermarking, the increasing focus on model authentication and content verification, the rising deployment of artificial intelligence in media and entertainment, the growing use of artificial intelligence watermarking in banking, financial services and insurance and healthcare, and the increasing need for fraud detection in artificial intelligence outputs. Key trends in the forecast period include advancements in invisible neural watermarking technologies, innovations in robust and hybrid watermarking methods, the integration of watermarking with artificial intelligence model management platforms, advancements in real-time watermark detection tools, and innovations in cross-platform and cloud-based watermarking.

The increasing sophistication of cyber threats is expected to drive the growth of the artificial intelligence model watermarking market in the coming years. Cyber threats refer to malicious digital activities such as ransomware, phishing, cloud breaches, and data intrusions that aim to steal, manipulate, or exploit data, systems, or digital content. The rise in these threats is driven by advanced techniques, artificial intelligence-enabled attacks, and expanding digital infrastructures, which create complex vulnerabilities across cloud platforms, devices, and communication channels. Artificial intelligence model watermarking helps mitigate these risks by embedding traceable and tamper-resistant identifiers within artificial intelligence-generated outputs, enabling authentication, misuse detection, and protection against content manipulation or unauthorized replication. For example, in October 2024, according to Check Point Software Technologies Limited, an Israel-based cybersecurity company, organizations experienced an average of one thousand eight hundred seventy-six cyberattacks each during the third quarter of 2024, representing a seventy-five percent increase compared to the same quarter in 2023. Therefore, the increasing sophistication of cyber threats is fueling the growth of the artificial intelligence model watermarking market.

Key companies operating in the artificial intelligence model watermarking market are focusing on developing invisible neural watermarking technologies to improve content authenticity, prevent deepfake misuse, and support copyright attribution across digital platforms. Invisible neural watermarking refers to the integration of imperceptible patterns or signals within artificial intelligence-generated media that can later be detected to verify origin, usage rights, or model accountability. For instance, in August 2023, Google DeepMind, a United Kingdom-based software company, introduced SynthID, an invisible neural watermarking tool designed for users of its Imagen model on Google Cloud's Vertex AI platform. The tool embeds subtle pixel-level patterns into images using dual neural networks so that the watermark remains detectable even after editing, resizing, or screenshots. This technology helps address growing concerns about deepfakes, misinformation, and unauthorized artificial intelligence-generated content while promoting the broader adoption of secure and transparent artificial intelligence systems.

In April 2024, Digimarc Corporation, a United States-based company specializing in artificial intelligence model watermarking, partnered with DataTrails to enhance digital content authenticity and protection. The collaboration established a comprehensive content protection system that secures digital assets through the integration of advanced watermarks and cryptographic fingerprints. Supported by provenance metadata, this multi-layered approach ensures the authenticity of digital content while protecting creators, enterprises, and consumers from false information and data manipulation. DataTrails is a United States-based watermarking company.

Major players in the artificial intelligence (ai) model watermarking market are Google LLC, Microsoft Corporation, Meta Platforms Inc., Alibaba Group Holding Limited, Amazon Web Services Inc., International Business Machines Corporation, NVIDIA Corporation, Adobe Inc., OpenAI LLC, Kantar Media, Hugging Face Inc., ZOO Digital Group Plc, Digimarc Corporation, Clarifai Inc., Scribe Security, Imatag SAS, Steg.AI Inc., EchoMark Inc., Latent AI Inc., Partnership on AI, and ZYpher Technologies.

North America was the largest region in the artificial intelligence (AI) model watermarking market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in artificial intelligence (AI) model watermarking report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the artificial intelligence (AI) model watermarking market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence (AI) model watermarking market consists of revenues earned by entities by providing services such as cloud-based model protection services, federated learning security services, blockchain-based model authentication, artificial intelligence (AI) model monitoring and tracking, training and support services. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) model watermarking market also includes sales of secure inference appliance, hardware security module, air-gapped watermarking workstation, and dedicated model-signing appliance. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Artificial Intelligence (AI) Model Watermarking Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on artificial intelligence (ai) model watermarking market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

Where is the largest and fastest growing market for artificial intelligence (ai) model watermarking ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence (ai) model watermarking market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

Scope

Table of Contents

1. Executive Summary

2. Artificial Intelligence (AI) Model Watermarking Market Characteristics

3. Artificial Intelligence (AI) Model Watermarking Market Trends And Strategies

4. Artificial Intelligence (AI) Model Watermarking Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

5. Global Artificial Intelligence (AI) Model Watermarking Growth Analysis And Strategic Analysis Framework

6. Artificial Intelligence (AI) Model Watermarking Market Segmentation

7. Artificial Intelligence (AI) Model Watermarking Market Regional And Country Analysis

8. Asia-Pacific Artificial Intelligence (AI) Model Watermarking Market

9. China Artificial Intelligence (AI) Model Watermarking Market

10. India Artificial Intelligence (AI) Model Watermarking Market

11. Japan Artificial Intelligence (AI) Model Watermarking Market

12. Australia Artificial Intelligence (AI) Model Watermarking Market

13. Indonesia Artificial Intelligence (AI) Model Watermarking Market

14. South Korea Artificial Intelligence (AI) Model Watermarking Market

15. Western Europe Artificial Intelligence (AI) Model Watermarking Market

16. UK Artificial Intelligence (AI) Model Watermarking Market

17. Germany Artificial Intelligence (AI) Model Watermarking Market

18. France Artificial Intelligence (AI) Model Watermarking Market

19. Italy Artificial Intelligence (AI) Model Watermarking Market

20. Spain Artificial Intelligence (AI) Model Watermarking Market

21. Eastern Europe Artificial Intelligence (AI) Model Watermarking Market

22. Russia Artificial Intelligence (AI) Model Watermarking Market

23. North America Artificial Intelligence (AI) Model Watermarking Market

24. USA Artificial Intelligence (AI) Model Watermarking Market

25. Canada Artificial Intelligence (AI) Model Watermarking Market

26. South America Artificial Intelligence (AI) Model Watermarking Market

27. Brazil Artificial Intelligence (AI) Model Watermarking Market

28. Middle East Artificial Intelligence (AI) Model Watermarking Market

29. Africa Artificial Intelligence (AI) Model Watermarking Market

30. Artificial Intelligence (AI) Model Watermarking Market Competitive Landscape And Company Profiles

31. Artificial Intelligence (AI) Model Watermarking Market Other Major And Innovative Companies

32. Global Artificial Intelligence (AI) Model Watermarking Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Artificial Intelligence (AI) Model Watermarking Market

34. Recent Developments In The Artificial Intelligence (AI) Model Watermarking Market

35. Artificial Intelligence (AI) Model Watermarking Market High Potential Countries, Segments and Strategies

36. Appendix

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