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市场调查报告书
商品编码
1489414

到 2030 年的假影像侦测市场预测：按产品、部署模型、组织规模、技术、应用程式、最终用户和地区进行的全球分析

Fake Image Detection Market Forecasts to 2030 - Global Analysis By Offering (Solutions, Services and Other Offering), Deployment Model, Organization Size, Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，2023 年全球假影像侦测市场规模将达到 4 亿美元，预计到 2030 年将达到 52 亿美元，预测期内复合年增长率为 43.6%。

虚假影像检测涉及使用演算法和技术来识别已被操纵或伪造的影像。通常，反向影像搜寻、元资料分析和数位鑑识等技术用于发现影像资料中的不一致和异常。先进的机器学习和深度学习方法也用于检测细微的改变，例如影像拼接或操作产生的伪影。

传播错误讯息

虚假资讯的不断传播挑战开发人员创新和改进假影像检测演算法。这就是为什么影像分析、机器学习和人工智慧的进步正在帮助我们更好地识别被操纵或伪造的影像。组织和个人正在寻找可靠的方法来检验影像的真实性，以打击错误讯息的传播。这种成长吸引了新的参与者和投资进入市场，增加竞争并促进创新。

製造成本高、应用困难

高製造成本可能导致伪造影像侦测解决方案过于昂贵，并且对于小型企业、组织和个人而言受到限制。结果可能是只有拥有大量预算的大公司才能部署有效的伪造影像检测方法。此外，潜在客户可能会因为感知到的障碍而推迟或放弃采用，从而导致市场扩张和成熟的时限更长。

人工智慧 (AI) 和机器学习 (ML) 的进步

人工智慧和机器学习实现了虚假图像检测过程的自动化，减少了手动干预的需要。自动侦测系统可以快速分析大量影像并标记潜在的操纵案例，以便人类专家进一步检验。这提高了影像身份验证工作流程的效率，并能够更快地回应新出现的威胁。这样，随着新形式的影像处理的出现，侦测演算法就会得到更新和重新训练，以领先于新的威胁，确保打击假冒影像的持续有效性。

由于竞争激烈，原料的供应情况

对原材料的激烈竞争可能会分散用于技术创新的研发工作的资源和注意力。製造商可能会专注于削减成本措施和优化现有产品，而不是投资开发新的和改进的假冒影像检测技术。因此，新参与企业可能难以以有竞争力的价格获得可靠的原材料来源，这可能会妨碍他们与现有企业进行有效竞争。

COVID-19 的影响

远端工作和线上互动正在扩大篡改图像的传播并推动市场成长。然而，经济的不确定性正在限制一些组织的预算并影响采购决策。此外，供应链中断和物流挑战正在影响生产和分销。儘管存在这些障碍，打击错误讯息的需求正在推动人工智慧和机器学习的创新，以提高侦测能力。

数位浮水印和数数位签章部分预计将在预测期内成为最大的部分

数位浮水印和数数位签章数位签章部分预计将出现良好的成长，因为数位浮水印和数位签章的存在可以阻碍力影像操纵和篡改。了解图像具有可追溯到原始图像的标识符可以阻止恶意行为者创建虚假或篡改图像，并减少错误讯息的传播。

医疗保健和医学影像预计在预测期内具有最高的复合年增长率

医疗保健和医学影像领域预计在预测期内将以最高的复合年增长率成长。遵守美国的 HIPAA（健康保险流通与责任法案）和欧洲的 GDPR（通用资料保护条例）等法规正在推动虚假图像检测技术的采用，以保持合规性并降低法律风险。

占比最大的地区：

预计亚太地区在预测期内将占据最大的市场占有率。这是因为亚太地区的电子商务和社群媒体产业正在蓬勃发展，为假影像检测解决方案创造了商机。电子商务平台和社群媒体网路面临打击仿冒品图像和操纵视觉效果传播的压力，从而推动了对检测工具的需求。此外，这些领域的进步正在推动伪造影像侦测的创新，从而带来更准确、更有效率的侦测演算法。

复合年增长率最高的地区：

预计北美在预测期内的复合年增长率最高，因为它是一些全球最大的电子商务平台和社交媒体网路的所在地。这些平台越来越多地成为恶意行为者的目标，他们传播虚假产品图像、操纵的视觉效果和错误讯息。因此，对虚假影像侦测解决方案的需求不断增长，以保护数位内容的完整性并保护消费者免受诈骗活动的侵害。检测技术的进步、准确性的提高以及旨在扩大市场范围的协作正在促进市场的成长和成熟。

提供免费客製化：

订阅此报告的客户可以存取以下免费自订选项之一：

  • 公司简介
    • 其他市场参与者的综合分析（最多 3 家公司）
    • 主要企业SWOT分析（最多3家企业）
  • 区域分割
    • 根据客户兴趣对主要国家的市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 资料分析
    • 资料检验
    • 研究途径
  • 研究资讯来源
    • 主要研究资讯来源
    • 二次研究资讯来源
    • 先决条件

第三章市场趋势分析

  • 促进因素
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19 的影响

第4章波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争公司之间的敌对关係

第五章全球虚假影像检测市场：透过提供

  • 解决方案
    • 检验内容真实性
    • AI产生的内容侦测
    • 深度造假影像侦测
    • 检测 Photoshop 影像
    • 即时侦测
    • 行动应用
    • 浏览器扩充
  • 服务
    • 支援与维护
    • 部署与集成
    • 咨询
  • 其他优惠

第六章全球假影像侦测市场：依部署模型

  • 本地
  • 云

第七章全球假影像侦测市场：依组织规模

  • 大公司
  • 中小企业

第八章全球假影像侦测市场：依技术分类

  • 机器学习 (ML) 与深度学习 (DL)
    • 卷积类神经网路
    • 生成对抗网路（GAN）
  • 形象评价
    • 元资料分析
    • 错误等级分析
  • 浮水印数位签章
  • 基于AI的检测演算法
  • 基于区块链的检验系统
  • 其他技术

第九章全球虚假影像侦测市场：依应用分类

  • 社群媒体平台
  • 电子商务和线上市场
  • 新闻和媒体组织
  • 医疗保健和医学影像
  • 诈骗侦测
  • 其他用途

第10章全球虚假影像检测市场：依最终用户分类

  • 银行、金融服务和保险 (BFSI)
  • 政府
  • 通讯
  • 房地产
  • 教育机构
  • 其他最终用户

第十一章全球假影像侦测市场：按地区

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东/非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲

第十二章 主要进展

  • 合约、伙伴关係、协作和合资企业
  • 收购和合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十三章 公司概况

  • Adobe Inc
  • BioID
  • Blackbird.AI
  • CyberExtruder
  • Deepware Scannerand
  • DuckDuckGoose AI
  • Facia
  • Gradiant
  • Hitachi Terminal Solutions Korea Co. Ltd
  • Honeywell International
  • iDenfy
  • Image Forgery Detector
  • InVID
  • iProov
  • Microsoft Corporation
  • Q-integrity
  • Reality Defender
  • Sensity AI
  • Truepic
Product Code: SMRC26200

According to Stratistics MRC, the Global Fake Image Detection Market is accounted for $0.4 billion in 2023 and is expected to reach $5.2 billion by 2030 growing at a CAGR of 43.6% during the forecast period. Fake image detection involves the use of algorithms and techniques to identify manipulated or fabricated images. It typically employs methods such as reverse image search, metadata analysis, and digital forensics to uncover inconsistencies or anomalies in the image data. Advanced machine learning and deep learning approaches are also utilized to detect subtle alterations, such as image splicing or manipulation artifacts.

Market Dynamics:

Driver:

Proliferation of misinformation

The continuous spread of misinformation challenges developers to innovate and improve fake image detection algorithms. This leads to advancements in image analysis, machine learning, and artificial intelligence to better identify manipulated or fake images. Organizations and individuals seek reliable methods to verify the authenticity of images to combat the spread of misinformation. This growth attracts new players and investments into the market, fostering competition and driving innovation.

Restraint:

High production costs and difficulty in application

High production costs may make fake image detection solutions prohibitively expensive for smaller businesses, organizations, or individuals, limiting their accessibility. This could result in a scenario where only larger entities with substantial budgets can afford to implement effective fake image detection measures. Moreover potential customers may delay or forgo adoption due to perceived barriers, resulting in a longer timeframe for market expansion and maturity.

Opportunity:

Advancements in artificial intelligence (AI) and machine learning (ML)

Artificial intelligence and machine learning enable automation of fake image detection processes, reducing the need for manual intervention. Automated detection systems can quickly analyze large volumes of images, flagging potential instances of manipulation for further review by human experts. This increases the efficiency of image authentication workflows and enables faster response to emerging threats. Thus as new forms of image manipulation emerge, detection algorithms can be updated and retrained to stay ahead of emerging threats, ensuring continued effectiveness in combating fake images.

Threat:

Availability of raw materials with intense competition

Intense competition for raw materials may divert resources and attention away from research and development efforts aimed at innovation. Manufacturers may focus more on cost-cutting measures and optimizing existing products rather than investing in the development of new and improved fake image detection technologies. Hence new entrants may struggle to secure reliable sources of raw materials at competitive prices, hindering their ability to compete effectively with established companies.

Covid-19 Impact

Remote work and online interactions have amplified the dissemination of manipulated images, driving market growth. However, economic uncertainties have constrained budgets for some organizations, impacting purchasing decisions. Additionally, supply chain disruptions and logistical challenges have affected production and distribution. Despite these hurdles, the necessity of combating misinformation has propelled innovation in AI and machine learning, enhancing detection capabilities.

The watermarking & digital signatures segment is expected to be the largest during the forecast period

The watermarking & digital signatures segment is estimated to have a lucrative growth, owing to the presence of watermarks or digital signatures acts as a deterrent against image manipulation or tampering. Knowing that images are marked with identifiers that can be traced back to their original source discourages malicious actors from attempting to create fake or altered images, thereby reducing the prevalence of misinformation.

The healthcare & medical imaging segment is expected to have the highest CAGR during the forecast period

The healthcare & medical imaging segment is anticipated to witness the highest CAGR growth during the forecast period, healthcare organizations are subject to strict regulatory requirements regarding data integrity, patient privacy, and medical image authenticity. Compliance with regulations such as the Health Insurance Portability and Accountability Act (HIPAA) in the United States and the General Data Protection Regulation (GDPR) in Europe drives the adoption of fake image detection technologies to maintain compliance and mitigate legal risks.

Region with largest share:

Asia Pacific is projected to hold the largest market share during the forecast period owing to the booming e-commerce and social media sectors in Asia Pacific present opportunities for fake image detection solutions. E-commerce platforms and social media networks are increasingly under pressure to combat the spread of fake product images and manipulated visuals, driving demand for detection tools. Moreover advances in these fields are driving innovation in fake image detection, leading to more accurate and efficient detection algorithms.

Region with highest CAGR:

North America is projected to have the highest CAGR over the forecast period, as North America is home to some of the world's largest e-commerce platforms and social media networks. These platforms are increasingly targeted by malicious actors spreading fake product images, manipulated visuals, and disinformation. As a result, there is a growing demand for fake image detection solutions to safeguard the integrity of digital content and protect consumers from fraudulent activities. Collaborations aimed at advancing detection technologies, improving accuracy, and expanding market reach contribute to the growth and maturity of the market.

Key players in the market

Some of the key players in the Fake Image Detection Market include Adobe Inc, BioID, Blackbird.AI, CyberExtruder, Deepware Scannerand, DuckDuckGoose AI, Facia, Gradiant, Hitachi Terminal Solutions Korea Co. Ltd, Honeywell International, iDenfy, Image Forgery Detector, InVID, iProov, Microsoft Corporation, Q-integrity, Reality Defender, Sensity AI and Truepic

Key Developments:

In April 2024, Adobe introduces firefly image 3 foundation model to take creative exploration and ideation to new heights. Significant advancements in speed of generation make the ideation and creation process more productive and efficient

In April 2024, Cognizant and Microsoft announce global partnership to expand adoption of generative AI in the enterprise, and drive industry transformation. This partnership also has the potential to significantly accelerate AI adoption and innovation in India.

In March 2024, Adobe expands collaboration with marriott international to deepen guest relationships through digital services and one-to-one personalization. This can help the company match individuals with the best options across its portfolio of more than 30 brands and nearly 8,800 properties.

Offerings Covered:

  • Solutions
  • Services
  • Other Offerings

Deployment Models Covered:

  • On-Premises
  • Cloud

Organization Sizes Covered:

  • Large Enterprises
  • Small & Medium Scale Enterprises

Technologies Covered:

  • Machine Learning (ML) & Deep Learning (DL)
  • Image Forensics
  • Watermarking & Digital Signatures
  • AI-Based Detection Algorithms
  • Blockchain-Based Verification Systems
  • Other Technologies

Applications Covered:

  • Social Media Platforms
  • E-commerce & Online Marketplaces
  • News & Media Organizations
  • Healthcare & Medical Imaging
  • Fraud Detection
  • Other Applications

End Users Covered:

  • Banking, Financial Services and Insurance (BFSI)
  • Government
  • Telecom
  • Real Estate
  • Educational Institutions
  • 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 2021, 2022, 2023, 2026, and 2030
  • 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

Table of Contents

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 Fake Image Detection Market, By Offering

  • 5.1 Introduction
  • 5.2 Solutions
    • 5.2.1 Content Authenticity Verification
    • 5.2.2 AI-generated Content Detection
    • 5.2.3 Deepfake Image Detection
    • 5.2.4 Photoshopped Image Detection
    • 5.2.5 Real-Time Detection
    • 5.2.6 Mobile Apps
    • 5.2.7 Browser Extensions
  • 5.3 Services
    • 5.3.1 Support & Maintenance
    • 5.3.2 Deployment & Integration
    • 5.3.3 Consulting
  • 5.4 Other Offering

6 Global Fake Image Detection Market, By Deployment Model

  • 6.1 Introduction
  • 6.2 On-Premises
  • 6.3 Cloud

7 Global Fake Image Detection Market, By Organization Size

  • 7.1 Introduction
  • 7.2 Large Enterprises
  • 7.3 Small & Medium Scale Enterprises

8 Global Fake Image Detection Market, By Technology

  • 8.1 Introduction
  • 8.2 Machine Learning (ML) & Deep Learning (DL)
    • 8.2.1 Convolutional Neural Networks
    • 8.2.2 Generative Adversarial Networks(GANs)
  • 8.3 Image Forensics
    • 8.3.1 Metadata Analysis
    • 8.3.2 Error Level Analysis
  • 8.4 Watermarking & Digital Signatures
  • 8.5 AI-Based Detection Algorithms
  • 8.6 Blockchain-Based Verification Systems
  • 8.7 Other Technologies

9 Global Fake Image Detection Market, By Application

  • 9.1 Introduction
  • 9.2 Social Media Platforms
  • 9.3 E-commerce & Online Marketplaces
  • 9.4 News & Media Organizations
  • 9.5 Healthcare & Medical Imaging
  • 9.6 Fraud Detection
  • 9.7 Other Applications

10 Global Fake Image Detection Market, By End User

  • 10.1 Introduction
  • 10.2 Banking, Financial Services and Insurance (BFSI)
  • 10.3 Government
  • 10.4 Telecom
  • 10.5 Real Estate
  • 10.6 Educational Institutions
  • 10.7 Other End Users

11 Global Fake Image Detection 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 Inc
  • 13.2 BioID
  • 13.3 Blackbird.AI
  • 13.4 CyberExtruder
  • 13.5 Deepware Scannerand
  • 13.6 DuckDuckGoose AI
  • 13.7 Facia
  • 13.8 Gradiant
  • 13.9 Hitachi Terminal Solutions Korea Co. Ltd
  • 13.10 Honeywell International
  • 13.11 iDenfy
  • 13.12 Image Forgery Detector
  • 13.13 InVID
  • 13.14 iProov
  • 13.15 Microsoft Corporation
  • 13.16 Q-integrity
  • 13.17 Reality Defender
  • 13.18 Sensity AI
  • 13.19 Truepic

List of Tables

  • Table 1 Global Fake Image Detection Market Outlook, By Region (2021-2030) ($MN)
  • Table 2 Global Fake Image Detection Market Outlook, By Offering (2021-2030) ($MN)
  • Table 3 Global Fake Image Detection Market Outlook, By Solutions (2021-2030) ($MN)
  • Table 4 Global Fake Image Detection Market Outlook, By Content Authenticity Verification (2021-2030) ($MN)
  • Table 5 Global Fake Image Detection Market Outlook, By AI-generated Content Detection (2021-2030) ($MN)
  • Table 6 Global Fake Image Detection Market Outlook, By Deepfake Image Detection (2021-2030) ($MN)
  • Table 7 Global Fake Image Detection Market Outlook, By Photoshopped Image Detection (2021-2030) ($MN)
  • Table 8 Global Fake Image Detection Market Outlook, By Real-Time Detection (2021-2030) ($MN)
  • Table 9 Global Fake Image Detection Market Outlook, By Mobile Apps (2021-2030) ($MN)
  • Table 10 Global Fake Image Detection Market Outlook, By Browser Extensions (2021-2030) ($MN)
  • Table 11 Global Fake Image Detection Market Outlook, By Services (2021-2030) ($MN)
  • Table 12 Global Fake Image Detection Market Outlook, By Support & Maintenance (2021-2030) ($MN)
  • Table 13 Global Fake Image Detection Market Outlook, By Deployment & Integration (2021-2030) ($MN)
  • Table 14 Global Fake Image Detection Market Outlook, By Consulting (2021-2030) ($MN)
  • Table 15 Global Fake Image Detection Market Outlook, By Other Offering (2021-2030) ($MN)
  • Table 16 Global Fake Image Detection Market Outlook, By Deployment Model (2021-2030) ($MN)
  • Table 17 Global Fake Image Detection Market Outlook, By On-Premises (2021-2030) ($MN)
  • Table 18 Global Fake Image Detection Market Outlook, By Cloud (2021-2030) ($MN)
  • Table 19 Global Fake Image Detection Market Outlook, By Organization Size (2021-2030) ($MN)
  • Table 20 Global Fake Image Detection Market Outlook, By Large Enterprises (2021-2030) ($MN)
  • Table 21 Global Fake Image Detection Market Outlook, By Small & Medium Scale Enterprises (2021-2030) ($MN)
  • Table 22 Global Fake Image Detection Market Outlook, By Technology (2021-2030) ($MN)
  • Table 23 Global Fake Image Detection Market Outlook, By Machine Learning (ML) & Deep Learning (DL) (2021-2030) ($MN)
  • Table 24 Global Fake Image Detection Market Outlook, By Convolutional Neural Networks (2021-2030) ($MN)
  • Table 25 Global Fake Image Detection Market Outlook, By Generative Adversarial Networks(GANs) (2021-2030) ($MN)
  • Table 26 Global Fake Image Detection Market Outlook, By Image Forensics (2021-2030) ($MN)
  • Table 27 Global Fake Image Detection Market Outlook, By Metadata Analysis (2021-2030) ($MN)
  • Table 28 Global Fake Image Detection Market Outlook, By Error Level Analysis (2021-2030) ($MN)
  • Table 29 Global Fake Image Detection Market Outlook, By Watermarking & Digital Signatures (2021-2030) ($MN)
  • Table 30 Global Fake Image Detection Market Outlook, By AI-Based Detection Algorithms (2021-2030) ($MN)
  • Table 31 Global Fake Image Detection Market Outlook, By Blockchain-Based Verification Systems (2021-2030) ($MN)
  • Table 32 Global Fake Image Detection Market Outlook, By Other Technologies (2021-2030) ($MN)
  • Table 33 Global Fake Image Detection Market Outlook, By Application (2021-2030) ($MN)
  • Table 34 Global Fake Image Detection Market Outlook, By Social Media Platforms (2021-2030) ($MN)
  • Table 35 Global Fake Image Detection Market Outlook, By E-commerce & Online Marketplaces (2021-2030) ($MN)
  • Table 36 Global Fake Image Detection Market Outlook, By News & Media Organizations (2021-2030) ($MN)
  • Table 37 Global Fake Image Detection Market Outlook, By Healthcare & Medical Imaging (2021-2030) ($MN)
  • Table 38 Global Fake Image Detection Market Outlook, By Fraud Detection (2021-2030) ($MN)
  • Table 39 Global Fake Image Detection Market Outlook, By Other Applications (2021-2030) ($MN)
  • Table 40 Global Fake Image Detection Market Outlook, By End User (2021-2030) ($MN)
  • Table 41 Global Fake Image Detection Market Outlook, By Banking, Financial Services and Insurance (BFSI) (2021-2030) ($MN)
  • Table 42 Global Fake Image Detection Market Outlook, By Government (2021-2030) ($MN)
  • Table 43 Global Fake Image Detection Market Outlook, By Telecom (2021-2030) ($MN)
  • Table 44 Global Fake Image Detection Market Outlook, By Real Estate (2021-2030) ($MN)
  • Table 45 Global Fake Image Detection Market Outlook, By Educational Institutions (2021-2030) ($MN)
  • Table 46 Global Fake Image Detection Market Outlook, By Other End Users (2021-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.