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1802974

2032 年深度造假取證市場預測：按組件、媒體類型、部署模式、技術、應用、最終用戶和地區進行的全球分析

Deepfake Forensic Market Forecasts to 2032 - Global Analysis By Component, Media Type, Deployment Mode, Technology, Application, End User and By Geography

出版日期: 2025年09月07日 | 出版商:

Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

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簡介目錄圖表

根據 Stratistics MRC 的數據，全球深度造假取證市場預計在 2025 年達到 1.659 億美元，到 2032 年將達到 22.582 億美元，預測期內的複合年成長率為 45.2%。

深度造假偽造取證是指用於偵測、分析和驗證被竄改的數位內容（包括影像、影片、音訊和文字）的專用工具、演算法和服務。取證解決方案利用人工智慧主導的偵測模型，識別元資料、像素化和音訊模式的不一致之處。透過支援檢驗、風險管理和法規遵循性，深度造假偽造取證增強了人們對數位生態系統的信任，尤其是在媒體、金融、政府和安全領域。

根據《連線》雜誌關於深度造假檢測挑戰的報道，頂級模型檢測到了 82% 的已知深度造假，但僅檢測到 65% 的未知深度造假，這凸顯了現有取證工具的局限性。

數位身分檢驗和認證的需求日益成長

複雜的深度造假氾濫，對生物辨識安全系統、金融機構和個人身分驗證流程構成了重大威脅。這推動了對高級取證工具的需求，這些工具能夠檢測人工智慧生成的合成媒體，以防止冒充、詐騙和安全漏洞。此外，監管壓力和合規性要求迫使企業投資這些解決方案，以保護數位互動並維護安全的身份驗證通訊協定，從而顯著促進市場成長。

計算成本和數據要求高

先進的深度造假取證解決方案的高運算成本和大量資料需求阻礙了其市場應用。開發和訓練先進的偵測演算法，尤其是基於深度學習的演算法，需要強大的運算能力和大量精確標記的媒體資料集，包括真實媒體和合成媒體。這為小型公司和研究機構設置了巨大的進入門檻，因為相關的基礎設施投資巨大。此外，為了與不斷發展的生成式人工智慧技術競爭，需要不斷地重新訓練模型，這進一步加劇了營運成本，並限制了市場滲透。

與網路安全和數位取證解決方案的整合

隨著深度造假成為網路攻擊、假訊息宣傳活動和企業間諜活動的載體，對其的分析正成為整體安全態勢的重要組成部分。將取證工具整合到現有的安全資訊和事件管理 (SIEM) 系統、詐欺偵測平台和事件回應工作流程中，可以帶來協同增效的價值提案。這種整合能夠建構更全面的威脅情報框架，創造新的收益來源，並擴大取證供應商的潛在市場。

大眾對數位媒體的信任度下降

隨著合成媒體變得難以被人眼辨別，並在自然界中無所不在，一種被稱為「謊言紅利」的現象可能會出現。這種認知安全性的下降可能會降低取證工具的緊迫性和有效性，並扼殺投資和創新。此外，這種真實性危機威脅著民主進程和社會凝聚力，帶來了超越單純市場動態的社會挑戰。

COVID-19的影響：

新冠疫情對深度造假偽造取證市場產生了淨正向影響。遠距辦公和數位互動的快速發展加速了線上身分驗證和驗證系統的普及，同時也擴大了詐騙利用合成深度造假進行攻擊的面。網路犯罪分子利用這場危機，利用深度偽造技術進行網路釣魚和社會工程攻擊，暴露了關鍵漏洞。這種迫在眉睫的威脅情勢，加上數位內容消費的增加，迫使政府和企業優先考慮並投資於檢測技術以降低風險，從而刺激了這段時期的市場成長。

預測期內，影片細分市場預計將佔最大佔有率

由於消費級深度造假生成工具的廣泛普及以及高級影片偽造造成的高風險損害，預計影片領域將在預測期內佔據最大的市場佔有率。影片深度造假是最複雜、最令人信服的合成媒體形式之一，其偵測對於防止金融詐騙、政治虛假資訊和誹謗等重大事件至關重要。該領域的主導地位得益於對研發的大量投入，這些投入專注於分析影片內容中固有的時間不一致性、臉部運動和壓縮偽影，以滿足最緊迫的市場需求。

預計在預測期內，詐欺偵測和金融犯罪預防將以最高的複合年成長率成長。

預計詐騙偵測和金融犯罪預防領域將在預測期內實現最高成長率，這得益於金融服務業（BFSI）擴大使用深度造假來規避「了解你的客戶」（KYC）和生物識別系統。合成身分和人工智慧產生的視訊資料正被用於帳戶接管詐騙和非法貿易，造成巨額財務損失。這種直接的金融威脅迫使金融機構主動採用先進的取證解決方案，推動了該領域的顯著成長。此外，旨在打擊詐騙的嚴格監管也為該領域的擴張提供了額外的強勁動力。

佔比最大的地區：

預計北美將在預測期內佔據最大的市場佔有率。這項優勢歸功於其早期快速採用先進技術、主要深度造假取證解決方案意識層級以及公共和私營部門為應對人工智慧帶來的威脅而投入的大量研發資金，鞏固了北美的主導地位。該地區強大的金融生態系統也使其成為深度造假詐騙的主要目標，進一步推動了對取證工具的需求。

複合年成長率最高的地區：

預計亞太地區將在預測期內實現最高的複合年成長率。這種加速成長的驅動力源自於大規模數位化措施、網路普及率的提高以及蓬勃發展的金融服務業（BFSI）——該產業正日益受到合成身分詐騙的威脅。亞太地區各國政府正在實施更嚴格的網路安全政策，為市場擴張創造法規環境。此外，龐大的人口規模以及大量的數位內容生成也帶來了獨特的挑戰，促使人們迫切需要投資深度造假檢測技術，以保護公民和關鍵基礎設施免受惡意應用程式的侵害。

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公司簡介
- 全面分析其他市場參與者（最多 3 家公司）
- 主要企業的SWOT分析（最多3家公司）
區域細分
- 根據客戶興趣對主要國家進行的市場估計、預測和複合年成長率（註：基於可行性檢查）
競爭基準化分析
- 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

北美洲
- 美國
- 加拿大
- 墨西哥
歐洲
- 德國
- 英國
- 義大利
- 法國
- 西班牙
- 其他歐洲國家
亞太地區
- 日本
- 中國
- 印度
- 澳洲
- 紐西蘭
- 韓國
- 其他亞太地區
南美洲
- 阿根廷
- 巴西
- 智利
- 其他南美
中東和非洲
- 沙烏地阿拉伯
- 阿拉伯聯合大公國
- 卡達
- 南非
- 其他中東和非洲地區

第12章重大進展

協議、夥伴關係、合作和合資企業
收購與合併
新產品發布
業務擴展
其他關鍵策略

第13章：企業概況

Adobe
Microsoft
Google
Meta
Sensity AI
Cognitec Systems
Intel
AMD
NVIDIA
Truepic
Reality Defender
Jumio
iProov
Voxist
Onfido
Fourandsix Technologies

簡介目錄圖表

Product Code: SMRC30500

According to Stratistics MRC, the Global Deepfake Forensic Market is accounted for $165.9 million in 2025 and is expected to reach $2258.2 million by 2032 growing at a CAGR of 45.2% during the forecast period. Deepfake forensics refers to specialized tools, algorithms, and services used to detect, analyze, and authenticate manipulated digital content, including images, videos, audio, and text. Leveraging AI-driven detection models, forensic solutions identify inconsistencies in metadata, pixelation, and voice patterns. By enabling validation, risk management, and regulatory compliance, deepfake forensics strengthens trust in digital ecosystems, particularly in media, finance, government, and security sectors.

According to Wired coverage of the Deepfake Detection Challenge, the top model detected 82 % of known deepfakes but only 65 % of unseen ones highlighting the limitations of existing forensic tools.

Market Dynamics:

Driver:

Rising need for digital identity verification and authentication

The proliferation of sophisticated deepfakes poses a significant threat to biometric security systems, financial institutions, and personal identity verification processes. This has catalyzed demand for advanced forensic tools capable of detecting AI-generated synthetic media to prevent identity theft, fraud, and security breaches. Moreover, regulatory pressures and compliance mandates are compelling organizations to invest in these solutions to safeguard digital interactions and maintain secure authentication protocols, thereby substantially contributing to market growth.

Restraint:

High computational costs and data requirements

Market adoption is hindered by the high computational cost and extensive data requirements associated with advanced deepfake forensic solutions. Developing and training sophisticated detection algorithms, particularly those based on deep learning, necessitates immense computational power and vast, accurately labeled datasets of both authentic and synthetic media. This creates a substantial barrier to entry for smaller enterprises and research institutions due to the associated infrastructure investment. Additionally, the continuous need for model retraining to counter evolving generative AI techniques further exacerbates these operational expenses, limiting market penetration.

Opportunity:

Integration with cybersecurity and digital forensics solutions

As deepfakes become a vector for cyberattacks, misinformation campaigns, and corporate espionage, their analysis is becoming an essential component of a holistic security posture. Embedding forensic tools into existing security information and event management (SIEM) systems, fraud detection platforms, and incident response workflows offers a synergistic value proposition. This convergence allows for a more comprehensive threat intelligence framework, creating new revenue streams and expanding the addressable market for forensic vendors.

Threat:

Erosion of public trust in digital media

As synthetic media becomes indistinguishable to the human eye and pervasive in nature, a phenomenon known as the "liar's dividend" may emerge, where any genuine content can be dismissed as a deepfake. This erosion of epistemic security diminishes the perceived urgency and effectiveness of forensic tools, potentially stifling investment and innovation. Furthermore, this crisis of authenticity threatens democratic processes and social cohesion, presenting a societal challenge beyond mere market dynamics.

Covid-19 Impact:

The COVID-19 pandemic had a net positive impact on the deepfake forensic market. The rapid shift to remote work and digital interactions accelerated the adoption of online verification and authentication systems, simultaneously expanding the attack surface for fraudsters using synthetic media. Cybercriminals exploited the crisis with deepfake-aided phishing and social engineering attacks, highlighting critical vulnerabilities. This immediate threat landscape, coupled with increased digital content consumption, forced governments and enterprises to prioritize and invest in detection technologies to mitigate risks, thereby stimulating market growth during the period.

The video segment is expected to be the largest during the forecast period

The video segment is expected to account for the largest market share during the forecast period due to the widespread availability of consumer-grade deepfake generation tools and the high potential for damage posed by sophisticated video forgeries. Video deepfakes represent the most complex and convincing form of synthetic media, making their detection paramount for preventing high-impact events like financial fraud, political misinformation, and defamation. The segment's dominance is further fueled by significant investments in R&D focused on analyzing temporal inconsistencies, facial movements, and compression artifacts unique to video content, addressing the most urgent market need.

The fraud detection & financial crime prevention segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the fraud detection & financial crime prevention segment is predicted to witness the highest growth rate, driven by the escalating use of deepfakes to bypass know your customer (KYC) and biometric authentication systems in the BFSI sector. Synthetic identities and AI-generated video profiles are being weaponized for account takeover fraud and unauthorized transactions, resulting in substantial financial losses. This direct monetary threat is compelling financial institutions to aggressively deploy advanced forensic solutions, fostering remarkable growth. Moreover, stringent regulatory mandates aimed at combating digital fraud are providing an additional, powerful impetus for this segment's expansion.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share. This dominance is attributable to the early and rapid adoption of advanced technologies, the presence of major deepfake forensic solution vendors, and stringent government regulations concerning data security and digital misinformation. Additionally, high awareness levels among enterprises and substantial R&D investments from both public and private sectors in countering AI-generated threats consolidate North America's leading position. The region's robust financial ecosystem also makes it a prime target for deepfake-enabled fraud, further propelling demand for forensic tools.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR. This accelerated growth is fueled by massive digitalization initiatives, expanding internet penetration, and a burgeoning BFSI sector that is increasingly vulnerable to synthetic identity fraud. Governments across APAC are implementing stricter cybersecurity policies, creating a conducive regulatory environment for market expansion. Moreover, the presence of a vast population generating immense volumes of digital content presents a unique challenge, driving urgent investments in deepfake detection technologies to protect citizens and critical infrastructure from malicious applications.

Key players in the market

Some of the key players in Deepfake Forensic Market include Adobe, Microsoft, Google, Meta, Sensity AI, Cognitec Systems, Intel, AMD, NVIDIA, Truepic, Reality Defender, Jumio, iProov, Voxist, Onfido, and Fourandsix Technologies.

Key Developments:

In January 2025, McAfee is taking a bold step forward with major enhancements to its AI-powered deepfake detection technology. By partnering with AMD and harnessing the Neural Processing Unit (NPU) within the latest AMD Ryzen(TM) AI 300 Series processors announced at CES, McAfee Deepfake Detector is designed to empower users to discern truth from fiction like never before.

In February 2024, Truepic launched the 2024 U.S. Election Deepfake Monitor, tracking AI-generated content in presidential elections. The company, advised by Dr. Hany Farid, focuses on promoting transparency in synthetic media and developing authentication solutions for preventing misleading media spread.

In February 2024, Meta collaborated with the Misinformation Combat Alliance (MCA) to launch a dedicated fact-checking helpline on WhatsApp in India. The company announced enhanced AI labeling policies for detecting industry-standard indicators of AI-generated content across Facebook, Instagram, and Threads platforms.

Components:

Software Tools
Services

Media Types Covered:

Image
Video
Audio/Voice
Text
Multimodal

Deployment Modes Covered:

Cloud-based
On-premises

Technologies Covered:

Deep Learning and AI-based Detection
Traditional Digital Forensics Techniques

Applications Covered:

Fraud Detection & Financial Crime Prevention
Identity Verification & Authentication
Threat Intelligence & National Security
Content Authenticity & Brand Protection
Litigation & Evidence Analysis

End Users Covered:

Banking, Financial Services, and Insurance (BFSI)
Government & Public Sector
Media & Entertainment
IT & Telecom
Legal & Judiciary
Other End Users

Regions Covered:

North America
- US
- Canada
- Mexico
Europe
- Germany
- UK
- Italy
- France
- Spain
- Rest of Europe
Asia Pacific
- Japan
- China
- India
- Australia
- New Zealand
- South Korea
- Rest of Asia Pacific
South America
- Argentina
- Brazil
- Chile
- Rest of South America
Middle East & Africa
- Saudi Arabia
- UAE
- Qatar
- South Africa
- Rest of Middle East & Africa

What our report offers:

Market share assessments for the regional and country-level segments
Strategic recommendations for the new entrants
Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
Strategic recommendations in key business segments based on the market estimations
Competitive landscaping mapping the key common trends
Company profiling with detailed strategies, financials, and recent developments
Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

Company Profiling
- Comprehensive profiling of additional market players (up to 3)
- SWOT Analysis of key players (up to 3)
Regional Segmentation
- Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
Competitive Benchmarking
- Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

1 Executive Summary

2 Preface

2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
- 2.4.1 Data Mining
- 2.4.2 Data Analysis
- 2.4.3 Data Validation
- 2.4.4 Research Approach
2.5 Research Sources
- 2.5.1 Primary Research Sources
- 2.5.2 Secondary Research Sources
- 2.5.3 Assumptions

3 Market Trend Analysis

3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Technology Analysis
3.7 Application Analysis
3.8 End User Analysis
3.9 Emerging Markets
3.10 Impact of Covid-19

4 Porters Five Force Analysis

4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry

5 Global Deepfake Forensic Market, By Component

5.1 Introduction
5.2 Software Tools
- 5.2.1 Detection & Identification
- 5.2.2 Analysis & Validation
- 5.2.3 Risk Management & Response
5.3 Services
- 5.3.1 Managed Services
- 5.3.2 Professional Services

6 Global Deepfake Forensic Market, By Media Type

6.1 Introduction
6.2 Image
6.3 Video
6.4 Audio/Voice
6.5 Text
6.6 Multimodal

7 Global Deepfake Forensic Market, By Deployment Mode

7.1 Introduction
7.2 Cloud-based
7.3 On-premises

8 Global Deepfake Forensic Market, By Technology

8.1 Introduction
8.2 Deep Learning and AI-based Detection
- 8.2.1 Convolutional Neural Networks (CNNs)
- 8.2.2 Recurrent Neural Networks (RNNs)
- 8.2.3 Generative Adversarial Networks (GANs) Analysis
- 8.2.4 Behavioral Pattern Analysis
8.3 Traditional Digital Forensics Techniques
- 8.3.1 Metadata Analysis
- 8.3.2 Error Level Analysis (ELA)
- 8.3.3 Luminance Gradient Analysis
- 8.3.4 Digital Watermarking and Signatures

9 Global Deepfake Forensic Market, By Application

9.1 Introduction
9.2 Fraud Detection & Financial Crime Prevention
9.3 Identity Verification & Authentication
9.4 Threat Intelligence & National Security
9.5 Content Authenticity & Brand Protection
9.6 Litigation & Evidence Analysis

10 Global Deepfake Forensic Market, By End User

10.1 Introduction
10.2 Banking, Financial Services, and Insurance (BFSI)
10.3 Government & Public Sector
10.4 Media & Entertainment
10.5 IT & Telecom
10.6 Legal & Judiciary
10.7 Other End Users

11 Global Deepfake Forensic Market, By Geography

11.1 Introduction
11.2 North America
- 11.2.1 US
- 11.2.2 Canada
- 11.2.3 Mexico
11.3 Europe
- 11.3.1 Germany
- 11.3.2 UK
- 11.3.3 Italy
- 11.3.4 France
- 11.3.5 Spain
- 11.3.6 Rest of Europe
11.4 Asia Pacific
- 11.4.1 Japan
- 11.4.2 China
- 11.4.3 India
- 11.4.4 Australia
- 11.4.5 New Zealand
- 11.4.6 South Korea
- 11.4.7 Rest of Asia Pacific
11.5 South America
- 11.5.1 Argentina
- 11.5.2 Brazil
- 11.5.3 Chile
- 11.5.4 Rest of South America
11.6 Middle East & Africa
- 11.6.1 Saudi Arabia
- 11.6.2 UAE
- 11.6.3 Qatar
- 11.6.4 South Africa
- 11.6.5 Rest of Middle East & Africa

12 Key Developments

12.1 Agreements, Partnerships, Collaborations and Joint Ventures
12.2 Acquisitions & Mergers
12.3 New Product Launch
12.4 Expansions
12.5 Other Key Strategies

13 Company Profiling

13.1 Adobe
13.2 Microsoft
13.3 Google
13.4 Meta
13.5 Sensity AI
13.6 Cognitec Systems
13.7 Intel
13.8 AMD
13.9 NVIDIA
13.10 Truepic
13.11 Reality Defender
13.12 Jumio
13.13 iProov
13.14 Voxist
13.15 Onfido
13.16 Fourandsix Technologies

簡介目錄圖表

List of Tables

Table 1 Global Deepfake Forensic Market Outlook, By Region (2024-2032) ($MN)
Table 2 Global Deepfake Forensic Market Outlook, By Component (2024-2032) ($MN)
Table 3 Global Deepfake Forensic Market Outlook, By Software Tools (2024-2032) ($MN)
Table 4 Global Deepfake Forensic Market Outlook, By Detection & Identification (2024-2032) ($MN)
Table 5 Global Deepfake Forensic Market Outlook, By Analysis & Validation (2024-2032) ($MN)
Table 6 Global Deepfake Forensic Market Outlook, By Risk Management & Response (2024-2032) ($MN)
Table 7 Global Deepfake Forensic Market Outlook, By Services (2024-2032) ($MN)
Table 8 Global Deepfake Forensic Market Outlook, By Managed Services (2024-2032) ($MN)
Table 9 Global Deepfake Forensic Market Outlook, By Professional Services (2024-2032) ($MN)
Table 10 Global Deepfake Forensic Market Outlook, By Media Type (2024-2032) ($MN)
Table 11 Global Deepfake Forensic Market Outlook, By Image (2024-2032) ($MN)
Table 12 Global Deepfake Forensic Market Outlook, By Video (2024-2032) ($MN)
Table 13 Global Deepfake Forensic Market Outlook, By Audio/Voice (2024-2032) ($MN)
Table 14 Global Deepfake Forensic Market Outlook, By Text (2024-2032) ($MN)
Table 15 Global Deepfake Forensic Market Outlook, By Multimodal (2024-2032) ($MN)
Table 16 Global Deepfake Forensic Market Outlook, By Deployment Mode (2024-2032) ($MN)
Table 17 Global Deepfake Forensic Market Outlook, By Cloud-based (2024-2032) ($MN)
Table 18 Global Deepfake Forensic Market Outlook, By On-premises (2024-2032) ($MN)
Table 19 Global Deepfake Forensic Market Outlook, By Technology (2024-2032) ($MN)
Table 20 Global Deepfake Forensic Market Outlook, By Deep Learning and AI-based Detection (2024-2032) ($MN)
Table 21 Global Deepfake Forensic Market Outlook, By Convolutional Neural Networks (CNNs) (2024-2032) ($MN)
Table 22 Global Deepfake Forensic Market Outlook, By Recurrent Neural Networks (RNNs) (2024-2032) ($MN)
Table 23 Global Deepfake Forensic Market Outlook, By Generative Adversarial Networks (GANs) Analysis (2024-2032) ($MN)
Table 24 Global Deepfake Forensic Market Outlook, By Behavioral Pattern Analysis (2024-2032) ($MN)
Table 25 Global Deepfake Forensic Market Outlook, By Traditional Digital Forensics Techniques (2024-2032) ($MN)
Table 26 Global Deepfake Forensic Market Outlook, By Metadata Analysis (2024-2032) ($MN)
Table 27 Global Deepfake Forensic Market Outlook, By Error Level Analysis (ELA) (2024-2032) ($MN)
Table 28 Global Deepfake Forensic Market Outlook, By Luminance Gradient Analysis (2024-2032) ($MN)
Table 29 Global Deepfake Forensic Market Outlook, By Digital Watermarking and Signatures (2024-2032) ($MN)
Table 30 Global Deepfake Forensic Market Outlook, By Application (2024-2032) ($MN)
Table 31 Global Deepfake Forensic Market Outlook, By Fraud Detection & Financial Crime Prevention (2024-2032) ($MN)
Table 32 Global Deepfake Forensic Market Outlook, By Identity Verification & Authentication (2024-2032) ($MN)
Table 33 Global Deepfake Forensic Market Outlook, By Threat Intelligence & National Security (2024-2032) ($MN)
Table 34 Global Deepfake Forensic Market Outlook, By Content Authenticity & Brand Protection (2024-2032) ($MN)
Table 35 Global Deepfake Forensic Market Outlook, By Litigation & Evidence Analysis (2024-2032) ($MN)
Table 36 Global Deepfake Forensic Market Outlook, By End User (2024-2032) ($MN)
Table 37 Global Deepfake Forensic Market Outlook, By Banking, Financial Services, and Insurance (BFSI) (2024-2032) ($MN)
Table 38 Global Deepfake Forensic Market Outlook, By Government & Public Sector (2024-2032) ($MN)
Table 39 Global Deepfake Forensic Market Outlook, By Media & Entertainment (2024-2032) ($MN)
Table 40 Global Deepfake Forensic Market Outlook, By IT & Telecom (2024-2032) ($MN)
Table 41 Global Deepfake Forensic Market Outlook, By Legal & Judiciary (2024-2032) ($MN)
Table 42 Global Deepfake Forensic Market Outlook, By Other End Users (2024-2032) ($MN)