AI內容來源追蹤軟體：市佔率分析、產業趨勢與統計及成長預測（2026-2031年）

根據 Mordor Intelligence 預測，人工智慧內容來源追蹤軟體的市場規模預計將從 2025 年的 10.3 億美元成長到 2026 年的 13.1 億美元，然後在 2031 年達到 46.7 億美元，2026 年至 2031 年的複合年成長率為 28.95%。

本報告按產品/服務（軟體和服務）、部署模式（雲端、混合部署、本地部署）、內容類型（圖像、影片、音訊等）、企業規模（大型企業、中小企業）、最終用戶（IT與電信、銀行、金融服務和保險、汽車與交通運輸等）以及地區進行細分。市場預測以美元計價。

全球人工智慧內容來源追蹤軟體市場趨勢與洞察

機器可讀格式的人工智慧資訊揭露要求

歐盟人工智慧法第50條規定的透明度義務將於2026年8月2日生效，該條款要求服務提供者以機器可讀格式展示某些人工智慧產生或處理的內容。歐盟委員會於2026年7月20日發布了相關指南，重點在於服務提供者和實施者的實施方案。該法規使得內容標註成為大規模使用生成工具的組織必須考慮的法律和營運因素。人工智慧內容來源追蹤軟體市場受益於將簽名、標註和檢驗功能整合到發布和審核工作流程中的優勢。 C2PA被視為ISO 22144標準，為需要記錄內容來源和變更歷史的組織提供了一種互通的方法。這項通用技術基礎可以減輕滿足不同司法管轄區不同要求的負擔。

深度造假合成媒體詐騙

在2026年發布的2025年度報告中，聯邦調查局記錄了22,364起與人工智慧驅動的詐騙相關的申訴，並調整了8.93億美元的損失。這些案例表明，金融機構、保險公司和企業為何將內容真實性視為一項關鍵的營運控制措施。研究還表明，如果沒有技術輔助，識別高度複雜的深度造假影片非常困難。因此，「人工智慧內容來源追蹤軟體市場」填補了僅靠人工審核無法可靠彌補的空缺。檢測系統有助於在內容創建後識別可疑內容，而來源追蹤則可以提供可靠的創建和修改證據。這種組合在處理支付、客戶服務、經營團隊溝通、病患資訊等工作流程中正變得越來越重要。

平台元資料刪除和憑證遺失

當平台在上傳過程中對檔案進行重新壓縮或轉換時，內容的身份驗證憑證可能會遺失。這會導致資產簽署時間和使用者後續存取管道之間出現脫節。當組織透過開放的社交平臺分發內容時，這個問題會限制來源記錄的價值。人工智慧內容來源追蹤軟體市場採用多層方法，將加密清單與像素級或其他持久性訊號結合。利用這些訊號，檢驗服務可以將修改或重新壓縮的檔案與其原始記錄關聯起來。在分發管道的保留管理更加統一之前，在受控的內部發布環境中進行來源追蹤管理仍然是最可靠的方法。

細分市場分析

到了2025年，軟體在人工智慧內容來源追蹤軟體市場佔72.41%的佔有率。這主要得益於C2PA簽章軟體開發工具包、浮水印應用程式介面和深度造假偽造檢測平台的早期應用。領先的媒體機構、金融服務公司和企業IT團隊紛紛採用這些工具，為其現有的內容工作流程增添了檢查功能。通常，來源管理始於具體的技術決策，例如整合簽章庫、實作檢驗介面或利用基於雲端的浮水印服務。 C2PA合規計畫透過建立經過測試的實現方案的公共註冊表，減輕了供應商的部分審查負擔。軟體在創建、儲存、檢查和檢驗內容記錄方面繼續發揮重要的營運作用。

隨著各組織認知到端到端改進需要的不僅是單一產品的部署，服務市場預計將在2026年至2031年間以30.82%的複合年成長率成長。各組織需要協調捕獲、簽名、儲存、編輯、發布和下游檢驗等流程，同時確保記錄安全。託管簽章、憑證生命週期支援、工作流程設計和整合諮詢服務正是為了滿足這些需求。在人工智慧內容來源追蹤軟體產業，一種將訂閱與專家部署支援相結合的持續性合約模式正日益流行，這種模式涵蓋了整個人工智慧內容來源追蹤軟體市場。當企業內部團隊缺乏加密記錄、管治流程或跨平台內容操作的經驗時，這類服務的需求最為旺盛。

到2025年，雲端採用將佔據人工智慧內容來源追蹤軟體市場68.19%的佔有率。這主要歸功於其較低的初始設置要求、能夠靈活應對簽名數量波動以及由供應商管理的證書基礎設施。雲端交付使團隊能夠部署檢驗和發現功能，而無需管理技術堆疊的每個部分。這實現了快速部署、集中管理分散式用戶以及無需漫長本地引進週期即可更新發現模型。這些優勢使得雲端系統成為軟體採用早期階段的首選。對於那些能夠在資料管治策略中利用外部檢驗服務的組織而言，這種模式仍然非常有效。

混合部署預計將在2026年至2031年間以29.74%的複合年成長率成長。金融服務、醫療保健和政府機構的使用者通常面臨資料居住、主權或儲存鏈方面的要求，這可能會限制他們完全依賴外部服務的能力。硬體擷取也引入了本機元素，因為簽章金鑰可以在裝置上產生和保護。 Truepic表示，其安全媒體庫已整合到高通驍龍8 Elite Gen 5平台中，可在擷取過程中實現裝置級C2PA內容憑證。然後，這些記錄可以與雲端的憑證授權單位進行交叉引用，從而為受監管用戶提供混合方法，並為人工智慧內容來源追蹤軟體市場的國防、情報和法律部門提供可控選項。

區域分析

2025年，北美地區佔了34.62%的銷售額佔有率。該地區在媒體、保險和金融服務等行業已率先採用商業化技術，因為內容詐騙可能造成直接的經濟損失。美國聯邦調查局在2025年年度報告中指出，與人工智慧驅動的詐騙相關的調整後損失高達8.93億美元。這項風險正推動著管理高價值數位資產和客戶互動的公司採用這項技術。 2026年6月，Truepic宣布與Cotality合作，為住宅和建築貸款提供檢驗的虛擬房地產檢查服務。

歐洲已成為主要的需求中心。這是因為歐盟的人工智慧法對某些人工智慧產生的內容設定了直接的透明度要求。根據第50條規定，相關義務已於2026年8月2日生效，歐盟委員會於2026年7月發布了實施指南。在德國的實施過程中，聯邦網路管理局被指定為人工智慧法的中央執行機構。在法國，dpa Picture Alliance於2026年5月選擇IMATAG作為首選的隱形浮水印技術。英國的人工智慧安全研究所和產業監管機構正在推動符合C2PA的自願性措施。

預計亞太地區2026年至2031年的複合年成長率將達到31.24%。繼日本於2025年5月28日頒布《人工智慧促進法》後，日本成立了人工智慧戰略總部，並制定了國家人工智慧戰略。 2026年7月15日，日本經濟產業省啟動了針對企業對企業（B2B）平台的「數位信任標誌」試點計畫。印度、韓國、東南亞、南美以及中東和非洲等地區對人工智慧透明度和內容揭露的關注度各不相同。

其他好處：

• Excel格式的市場預測（ME）表
• 3個月的分析師支持

目錄

第1章：引言

• 研究假設和市場定義
• 調查範圍

第2章：調查方法

第3章執行摘要

第4章 市場狀況

• 市場概覽
• 市場促進因素
  • 利用深度造假和合成媒體的詐騙日益猖獗。
  • 人工智慧資訊以機器可讀格式揭露的監管要求
  • 在企業中實施可信任內容工作流程
  • C2PA的標準化和互通性
  • 生成式人工智慧管道的上游起源
  • 基於硬體的捕獲和認證
• 市場限制因素
  • 平台元資料刪除和憑證遺失
  • 對抗性水印去除和模型規避
  • 整合成本和資源管理的複雜性
  • 隱私、同意和跨境資料限制
• 宏觀經濟因素對市場的影響
• 產業價值鏈分析
• 科技趨勢
• 監理情勢
• 波特五力分析

第5章 市場規模與成長預測

• 報價
  • 軟體
  • 服務
• 按部署模式
  • 雲
  • 混合
  • 現場
• 按內容類型
  • 影像
  • 影片
  • 聲音的
  • 文件
  • 文字和程式碼
• 按公司規模
  • 大公司
  • 小型企業
• 最終用戶
  • 資訊科技/通訊
  • BFSI
  • 汽車和運輸業
  • 醫療保健和生命科學
  • 零售與電子商務
  • 工業製造
  • 其他最終用戶
• 按地區
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他南美國家
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 俄羅斯
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 東南亞
    • 其他亞太國家
  • 中東和非洲
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 其他中東國家
    • 非洲
      • 南非
      • 奈及利亞
      • 其他非洲國家

第6章 競爭情勢

• 市場集中度
• 策略趨勢
• 市佔率分析
• 公司簡介
  • Truepic, Inc.
  • Attestiv, Inc.
  • OriginStamp GmbH
  • Serelay Ltd
  • Digimarc Corporation
  • Reality Defender, Inc.
  • Sensity AI
  • Hive Technology, Inc.
  • Copyleaks, Inc.
  • GPTZero, Inc.
  • Originality.ai Inc.
  • Turnitin, LLC
  • Imatag SAS
  • Verimatrix, Inc.
  • Irdeto BV
  • Synamedia Limited
  • Nagra Kudelski SA
  • Pindrop Security, Inc.
  • Sightengine SAS
  • DeepMedia AI, Inc.
  • Polygraf AI, Inc.
  • Veraquo GmbH

第7章 市場機會與未來展望

According to Mordor Intelligence, the AI content provenance software market size is expected to grow from USD 1.03 billion in 2025 to USD 1.31 billion in 2026 and is forecast to reach USD 4.67 billion by 2031 at 28.95% CAGR over 2026-2031.

This report is Segmented by Offering (Software, and Services), Deployment Model (Cloud, Hybrid, and On-Premises), Content Type (Image, Video, Audio, and More), Enterprise Size (Large Enterprises, and Small and Mid-Sized Enterprises), End Users (IT and Telecommunication, BFSI, Automotive and Transportation, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global AI Content Provenance Software Market Trends and Insights

Machine-Readable AI Disclosure Requirements

The European Union's AI Act, Article 50, transparency obligations take effect on August 2, 2026, and require providers to mark certain AI-generated or manipulated content in a machine-readable format. The European Commission published related guidance on July 20, 2026, which places significant emphasis on the implementation choices made by providers and deployers. The rules make content labeling a legal and operational consideration for organizations that use generative tools at scale. The AI Content Provenance Software Market benefits from the fact that signing, labeling, and verification functions can be built into publishing and review workflows. C2PA is being considered as ISO 22144 and provides an interoperable route for organizations that need to document content origin and changes. This common technical foundation can reduce the burden of supporting different requirements across jurisdictions.

Deepfake and Synthetic-Media Fraud

The FBI recorded 22,364 complaints involving AI-enabled fraud and USD 893 million in adjusted losses in its 2025 annual report, which was published in 2026. These cases show why financial institutions, insurers, and enterprises are treating content authenticity as an operational control. Research has also found that people have difficulty identifying sophisticated deepfake videos without technical support. The AI Content Provenance Software Market, therefore, addresses a gap that manual review cannot reliably close. Detection systems help identify suspicious content after creation, while provenance records can provide evidence of trusted creation and modification. This combination is becoming more relevant in workflows involving payments, customer service, executive communications, and patient-facing information.

Metadata Stripping and Credential Loss on Platforms

Content credentials can be lost when platforms recompress files or convert them to new formats during upload. This creates a break between the point where an asset is signed and the channels where audiences later view it. The issue limits the value of a provenance record when organizations distribute content through open social platforms. The AI Content Provenance Software Market is responding with layered approaches that pair cryptographic manifests with pixel-level or other durable signals. Those signals can help link altered or recompressed files back to a source record through verification services. Until preservation becomes more consistent across distribution channels, provenance controls remain strongest inside managed enterprise publishing environments.

Other drivers and restraints analyzed in the detailed report include:

1. C2PA Standardization and Interoperability
2. Trusted Enterprise Content Workflows
3. Adversarial Watermark Removal and Model Evasion

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Software held 72.41% of the AI Content Provenance Software Market share in 2025, supported by early deployments of C2PA signing software development kits, watermarking application programming interfaces, and deepfake detection platforms. Large media organizations, financial services firms, and enterprise IT teams adopted these tools to add checks to established content workflows. In many cases, provenance began with a focused technical decision, such as integrating a signing library, deploying a verification interface, or subscribing to a cloud watermarking service. The C2PA Conformance Program reduced part of the vendor review burden by creating a public registry of tested implementations. Software remains the operating layer for creating, storing, inspecting, and verifying content records.

Services are projected to grow at a 30.82% CAGR from 2026 to 2031, as organizations recognize that end-to-end provenance requires more than a standalone product installation. They need to connect capture, signing, storage, editing, publication, and downstream verification without breaking records along the way. Managed signing, certificate lifecycle support, workflow design, and integration consulting address this requirement. The AI content provenance software industry is seeing recurring engagements that combine subscriptions with specialized implementation support across the AI Content Provenance Software Market. This service demand is strongest where internal teams lack experience with cryptographic records, governance processes, or cross-platform content operations.

Cloud deployment held 68.19% of the AI Content Provenance Software Market share in 2025, supported by lower initial setup requirements, flexible capacity for changing signing volumes, and vendor-managed certificate infrastructure. Cloud delivery helps teams deploy verification and detection capabilities without maintaining every part of the technical stack. It supports rapid onboarding, central control across distributed users, and updates to detection models without lengthy local deployment cycles. These advantages made cloud systems the primary route for initial software adoption. The model remains useful for organizations that can use external verification services within their data governance policies.

Hybrid deployment is projected to grow at a 29.74% CAGR from 2026 to 2031. Financial services, healthcare, and government users often face data residency, sovereignty, or chain-of-custody conditions that limit full reliance on external services. Hardware-backed capture also introduces a local component, as signing keys can be generated and protected on the device. Truepic stated that its secure media library was embedded in Qualcomm's Snapdragon 8 Elite Gen 5 platform, allowing device-level C2PA Content Credentials at capture. Records can then be checked against cloud certificate authorities, providing the AI Content Provenance Software Market with a hybrid approach for regulated users and a controlled option for defense, intelligence, and legal settings.

Complete Report Scope:

• By Offering
  • Software
  • Services
• By Deployment Model
  • Cloud
  • Hybrid
  • On-Premises
• By Content Type
  • Image
  • Video
  • Audio
  • Documents
  • Text and Code
• By Enterprise Size
  • Large Enterprises
  • Small and Mid-sized Enterprises
• By End Users
  • IT and Telecommunication
  • BFSI
  • Automotive and Transportation
  • Healthcare and Life Sciences
  • Retail and E-Commerce
  • Industrial Manufacturing
  • Other End-Users
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Europe
    • Germany
    • United Kingdom
    • France
    • Russia
    • Spain
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • South Korea
    • Southeast Asia
    • Rest of Asia-Pacific
  • Middle East and Africa
    • Middle East
      • Saudi Arabia
      • United Arab Emirates
      • Rest of Middle East
    • Africa
      • South Africa
      • Nigeria
      • Rest of Africa

Geography Analysis

North America accounted for 34.62% revenue share in 2025. The region has early commercial deployments in media, insurance, and financial services, where content fraud can have direct financial consequences. The FBI reported USD 893 million in adjusted losses connected to AI-enabled fraud in its 2025 annual report. This risk has supported procurement by firms that manage high-value digital assets and customer interactions. Truepic announced an integration with Cotality in June 2026 to enable verified virtual property inspections for home and construction lending.

Europe is a major demand center because the European Union AI Act creates a direct transparency requirement for certain AI-generated content. Article 50 obligations take effect on August 2, 2026, and the Commission published implementation guidance in July 2026. Germany's implementation process has established the Federal Network Agency as the central authority for the enforcement of the AI Act. In France, dpa Picture Alliance selected IMATAG as its preferred invisible watermarking technology in May 2026. The United Kingdom's AI Safety Institute and sector regulators are developing voluntary work that aligns with C2PA.

Asia-Pacific is projected to grow at a 31.24% CAGR from 2026 to 2031. Japan's AI Promotion Act, enacted on May 28, 2025, established an AI Strategic Headquarters and a national AI strategy. Japan's Ministry of Economy, Trade, and Industry began a Digital Trustmark pilot for business-to-business platforms on July 15, 2026. India, South Korea, Southeast Asia, South America, and the Middle East and Africa are at different stages of interest in AI transparency and content disclosure.

1. Truepic, Inc.
2. Attestiv, Inc.
3. OriginStamp GmbH
4. Serelay Ltd
5. Digimarc Corporation
6. Reality Defender, Inc.
7. Sensity AI
8. Hive Technology, Inc.
9. Copyleaks, Inc.
10. GPTZero, Inc.
11. Originality.ai Inc.
12. Turnitin, LLC
13. Imatag SAS
14. Verimatrix, Inc.
15. Irdeto B.V.
16. Synamedia Limited
17. Nagra Kudelski SA
18. Pindrop Security, Inc.
19. Sightengine SAS
20. DeepMedia AI, Inc.
21. Polygraf AI, Inc.
22. Veraquo GmbH

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 Rising Deepfake and Synthetic-Media Fraud
  • 4.2.2 Regulatory Requirements for Machine-Readable AI Disclosure
  • 4.2.3 Enterprise Adoption of Trusted Content Workflows
  • 4.2.4 C2PA Standardization and Interoperability
  • 4.2.5 Upstream Provenance in Generative-AI Pipelines
  • 4.2.6 Hardware-Backed Capture and Attestation
• 4.3 Market Restraints
  • 4.3.1 Metadata Stripping and Credential Loss on Platforms
  • 4.3.2 Adversarial Watermark Removal and Model Evasion
  • 4.3.3 Integration Cost and Provenance Governance Complexity
  • 4.3.4 Privacy, Consent, and Cross-Border Data Constraints
• 4.4 Impact of Macroeconomic Factors on the Market
• 4.5 Industry Value-Chain Analysis
• 4.6 Technology Outlook
• 4.7 Regulatory Landscape
• 4.8 Porter's Five Forces Analysis
  • 4.8.1 Threat of New Entrants
  • 4.8.2 Bargaining Power of Suppliers
  • 4.8.3 Bargaining Power of Buyers
  • 4.8.4 Threat of Substitutes
  • 4.8.5 Intensity of Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Offering
  • 5.1.1 Software
  • 5.1.2 Services
• 5.2 By Deployment Model
  • 5.2.1 Cloud
  • 5.2.2 Hybrid
  • 5.2.3 On-Premises
• 5.3 By Content Type
  • 5.3.1 Image
  • 5.3.2 Video
  • 5.3.3 Audio
  • 5.3.4 Documents
  • 5.3.5 Text and Code
• 5.4 By Enterprise Size
  • 5.4.1 Large Enterprises
  • 5.4.2 Small and Mid-sized Enterprises
• 5.5 By End Users
  • 5.5.1 IT and Telecommunication
  • 5.5.2 BFSI
  • 5.5.3 Automotive and Transportation
  • 5.5.4 Healthcare and Life Sciences
  • 5.5.5 Retail and E-Commerce
  • 5.5.6 Industrial Manufacturing
  • 5.5.7 Other End-Users
• 5.6 By Geography
  • 5.6.1 North America
    • 5.6.1.1 United States
    • 5.6.1.2 Canada
    • 5.6.1.3 Mexico
  • 5.6.2 South America
    • 5.6.2.1 Brazil
    • 5.6.2.2 Argentina
    • 5.6.2.3 Rest of South America
  • 5.6.3 Europe
    • 5.6.3.1 Germany
    • 5.6.3.2 United Kingdom
    • 5.6.3.3 France
    • 5.6.3.4 Russia
    • 5.6.3.5 Spain
    • 5.6.3.6 Rest of Europe
  • 5.6.4 Asia-Pacific
    • 5.6.4.1 China
    • 5.6.4.2 Japan
    • 5.6.4.3 India
    • 5.6.4.4 South Korea
    • 5.6.4.5 Southeast Asia
    • 5.6.4.6 Rest of Asia-Pacific
  • 5.6.5 Middle East and Africa
    • 5.6.5.1 Middle East
      • 5.6.5.1.1 Saudi Arabia
      • 5.6.5.1.2 United Arab Emirates
      • 5.6.5.1.3 Rest of Middle East
    • 5.6.5.2 Africa
      • 5.6.5.2.1 South Africa
      • 5.6.5.2.2 Nigeria
      • 5.6.5.2.3 Rest of Africa

6 COMPETITIVE LANDSCAPE

• 6.1 Market Concentration
• 6.2 Strategic Moves
• 6.3 Market Share Analysis
• 6.4 Company Profiles (includes Global Level Overview, Market Level Overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share, Products and Services, Recent Developments)
  • 6.4.1 Truepic, Inc.
  • 6.4.2 Attestiv, Inc.
  • 6.4.3 OriginStamp GmbH
  • 6.4.4 Serelay Ltd
  • 6.4.5 Digimarc Corporation
  • 6.4.6 Reality Defender, Inc.
  • 6.4.7 Sensity AI
  • 6.4.8 Hive Technology, Inc.
  • 6.4.9 Copyleaks, Inc.
  • 6.4.10 GPTZero, Inc.
  • 6.4.11 Originality.ai Inc.
  • 6.4.12 Turnitin, LLC
  • 6.4.13 Imatag SAS
  • 6.4.14 Verimatrix, Inc.
  • 6.4.15 Irdeto B.V.
  • 6.4.16 Synamedia Limited
  • 6.4.17 Nagra Kudelski SA
  • 6.4.18 Pindrop Security, Inc.
  • 6.4.19 Sightengine SAS
  • 6.4.20 DeepMedia AI, Inc.
  • 6.4.21 Polygraf AI, Inc.
  • 6.4.22 Veraquo GmbH

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment