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市场调查报告书
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假影像侦测市场规模、份额、趋势分析报告：按产品、按部署、按技术、按行业、按地区、细分市场预测，2024-2030 年

Fake Image Detection Market Size, Share & Trends Analysis Report By Offering (Software, Services), By Deployment (On Premises, Cloud), By Technology, By Vertical, By Region, And Segment Forecasts, 2024 - 2030
出版日期: | 出版商: Grand View Research | 英文 150 Pages | 商品交期: 2-10个工作天内

价格

假影像检测市场成长与趋势：

Grand View Research, Inc. 的最新报告显示，到 2030 年，全球假影像检测市场规模预计将达到 73.2 亿美元。

预计2024年至2030年该市场将以37.8%的复合年增长率成长。虚假影像的广泛使用迫切需要有效的检测解决方案。这项技术对于打击错误讯息和确保线上内容的可信度至关重要。随着虚假图像继续威胁社会信任、社会和谐和网路平台的声誉，各利益相关人员正在采取行动。从科技公司到监管机构，迫切需要实施虚假影像检测解决方案。

我强调，这种集体努力认识到该技术在提高透明度、实现明智决策和维护线上通讯完整性方面发挥的关键作用。云端基础的服务的兴起彻底改变了虚假影像检测。这些服务利用了云端强大的演算法和广泛的运算资源。在巨大资料集上训练的机器学习模型甚至可以识别影像中的细微操作。这种云端基础的方法可以快速分析大量资料，从而可以在各种平台和应用程式上进行虚假影像检测。这些服务通常提供应用程式介面 (API) 和软体开发套件(SDK)，以便顺利整合到现有系统中。

这使得开发人员可以轻鬆地将虚假影像侦测功能合併到他们的应用程式中。 Gradient、Clearview AI 和其他各种公司处于提供云端基础的虚假影像侦测解决方案的前沿。透过机器学习 (ML) 和卷积类神经网路(CNN) 进行深度学习已成为假影像侦测的主流。这些演算法擅长透过分析细微的不一致来识别经过处理或合成的图像。在巨大的真假图像资料集上训练的 CNN 可以学习复杂的特征并区分真实内容。此外，生成对抗网路（GAN）等深度学习的进步可以帮助研究人员领先于不断发展的影像处理技术。

因此，深度学习和机器学习已成为打击虚假影像的重要工具，使线上视觉效果在各个平台上更加可靠和值得信赖。此外，政府对深度造假检测的监督为市场带来了机会和挑战。虽然监管可以增加需求、标准化检测方法并建立用户信任，但它也可能抑制创新并迫使公司承担合规成本。平衡有效检测与培育充满活力的市场非常重要。

虚假影像检测市场报告亮点

  • 云端领域将引领市场，到2023年将占全球销售额的53.5%。该云端平台提供对专门用于检测操纵影像的尖端人工智慧和机器学习演算法的存取。这些演算法不断发展，并学习识别新出现的操纵技​​术。
  • 随着人工智慧驱动的脚本和对话生成的兴起，检测这些领域的操纵的能力变得极为重要。侦测工具可用于分析写作风格、辨识角色声音中的不一致之处，或标记可能表示剧本非常虚假的异常情节元素。
  • 自订人工智慧模型的兴起正在响应特定行业的需求。例如，一个社群媒体平台可能会优先检测深度造假，而另一个报导机构可能会专注于识别被窜改的照片。这种专业化使得该模型在目标领域非常有效。
  • KYC 等监管要求强制要求严格的客户识别程序。虚假影像检测透过检验客户提供的文件（例如护照和驾驶执照）的真实性来简化 KYC 流程。这降低了诈欺开户和洗钱的风险。
  • 北美地区在 2023 年占据市场主导地位，收益占有率为 32.6%。在北美，媒体、娱乐、金融和政府等各领域对数位内容身分验证的需求不断增加。随着深度造假事件和错误讯息的增加，企业和机构正在优先投资可靠的检测工具。

目录

第一章调查方法和范围

第 2 章执行摘要

第 3 章 假影像侦测市场变数、趋势与范围

  • 市场体系展望
  • 市场动态
    • 市场驱动因素分析
    • 市场限制因素分析
    • 产业挑战
  • 假影像检测市场分析工具
    • 产业分析-波特五力分析
    • PESTEL分析

第四章 假影像侦测市场：供给估计与趋势分析

  • 细分仪表板
  • 假影像检测市场：2022 年和 2030 年报价变化分析
  • 软体
  • 服务

第五章 假影像侦测市场：发展预测与趋势分析

  • 细分仪表板
  • 假影像检测市场：2022 年和 2030 年的演化变化分析
  • 本地
  • 云

第六章 假影像侦测市场：技术评估与趋势分析

  • 细分仪表板
  • 假影像检测市场：2022 年和 2030 年技术变化分析
  • 影像处理与分析
  • 机器学习和人工智慧

第七章 假影像侦测市场：产业预测与趋势分析

  • 细分仪表板
  • 假影像检测市场：2022 年和 2030 年产业变化分析
  • 政府
  • BFSI
  • 卫生保健
  • 资讯科技和通讯
  • 防御
  • 媒体和娱乐
  • 零售/电子商务
  • 其他的

第8章 假影像侦测市场：区域估计与趋势分析

  • 2022 年及 2030 年虚假影像检测市场占有率（按地区）
  • 北美洲
    • 2017-2030 年北美虚假影像检测市场估计与预测
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 2017-2030 年欧洲虚假影像检测市场估计与预测
    • 英国
    • 德国
    • 法国
  • 亚太地区
    • 2017-2030年亚太地区虚假影像检测市场估计与预测
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲
  • 拉丁美洲
    • 2017-2030 年拉丁美洲虚假影像检测市场估计与预测
    • 巴西
  • 中东和非洲
    • 2017-2030 年中东和非洲虚假影像检测市场估计和预测
    • 阿拉伯聯合大公国
    • 沙乌地阿拉伯
    • 南非

第9章 竞争格局

  • 公司分类
  • 公司市场定位
  • 参与企业概况
  • 财务绩效
  • 产品基准
  • 企业热力图分析
  • 策略规划
  • 公司简介/名单
    • Amped
    • Canon
    • Deepgram
    • DeepWare AI
    • Gradiant.
    • Intel
    • Microsoft corporation
    • Qualcomm
    • Sensity AI
    • Sentinel
    • Sony Corporation
Product Code: GVR-4-68040-274-2

Fake Image Detection Market Growth & Trends:

The global fake image detection market size is expected to reach USD 7.32 billion by 2030, according to a new report by Grand View Research, Inc. The market is anticipated to grow at a CAGR of 37.8% from 2024 to 2030. The widespread use of fake images has created a critical need for effective detection solutions. This technology is essential to combat misinformation and ensure the trustworthiness of online content. As fake images continue to threaten public trust, social harmony, and the reputation of online platforms, various stakeholders are taking action. From tech companies to regulatory bodies, there's a growing urgency to implement fake image detection solutions.

This collective effort emphasizes the vital role of this technology in promoting transparency, enabling well-informed decisions, and maintaining the integrity of online communication. The rise of cloud-based services has revolutionized fake image detection. These services utilize powerful algorithms and extensive computing resources from the cloud. Machine learning models, trained on massive datasets, can identify even subtle manipulations within images. This cloud-based approach allows for rapid analysis of large volumes of data, enabling the detection of fake images across various platforms and applications. These services typically offer application programming interfaces (APIs) and software development kits (SDKs) for smooth integration into existing systems.

This empowers developers to incorporate fake image detection functionality into their applications easily. Several companies are at the forefront of providing cloud-based solutions for fake image detection, including Gradient, Clearview AI, and various others. The adoption of machine learning (ML) and deep learning with convolutional neural networks (CNNs) has become the dominant force in fake image detection. These algorithms excel at identifying manipulated or synthetic images by analyzing subtle inconsistencies. Trained on massive datasets of real and fake images, CNNs learn complex features to distinguish genuine content. Furthermore, advancements in deep learning, like Generative Adversarial Networks (GANs), help researchers stay ahead of evolving image manipulation techniques.

As a result, deep learning and machine learning have become a critical tool for combating fake images, ensuring greater trust and credibility in online visuals across various platforms. Furthermore, government oversight in detecting deepfakes presents both opportunities and challenges for the market. While regulations can boost demand, standardize detection methods, and build user trust, they could also stifle innovation and burden companies with compliance costs. Striking a balance between effective detection and fostering a dynamic market is crucial.

Fake Image Detection Market Report Highlights:

  • The cloud segment led the market and accounted for a share of 53.5% of the global revenue in 2023. Cloud platforms offer access to cutting-edge AI and ML algorithms specifically designed to detect manipulated images. These algorithms are constantly evolving, learning to identify new manipulation techniques as they emerge
  • With the rise of AI-powered scriptwriting and dialogue generation, the ability to detect manipulation in these areas becomes crucial. Detection tools might be designed to analyze the writing style, identify inconsistencies in character voices, or flag unusual plot elements that could signal a deep fake script
  • The rise of custom-built AI models caters to specific industry needs. For example, a social media platform might prioritize detecting deep fakes, while a news organization might focus on identifying manipulated photos. This specialization ensures models are highly effective in their targeted domains
  • Regulatory requirements like KYC mandate robust customer identification procedures. Fake image detection streamlines the KYC process by verifying the authenticity of customer-provided documents, such as passports or driver's licenses. This reduces the risk of fraudulent account openings and money laundering activities
  • North America dominated the market and accounted for a revenue share of 32.6% in 2023. In North America, there is a growing need for authentication of digital content across various sectors, including media, entertainment, finance, and government. The rise in deep fake incidents and misinformation has led businesses and institutions to prioritize investing in reliable detection tools

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation and Scope
  • 1.2. Research Methodology
    • 1.2.1. Information Procurement
  • 1.3. Information or Data Analysis
  • 1.4. Methodology
  • 1.5. Research Scope and Assumptions
  • 1.6. Market Formulation & Validation
  • 1.7. Country Based Segment Share Calculation
  • 1.8. List of Data Sources

Chapter 2. Executive Summary

  • 2.1. Market Outlook
  • 2.2. Segment Outlook
  • 2.3. Competitive Insights

Chapter 3. Fake Image Detection Market Variables, Trends, & Scope

  • 3.1. Market Lineage Outlook
  • 3.2. Market Dynamics
    • 3.2.1. Market Driver Analysis
    • 3.2.2. Market Restraint Analysis
    • 3.2.3. Industry Challenge
  • 3.3. Fake Image Detection Market Analysis Tools
    • 3.3.1. Industry Analysis - Porter's
      • 3.3.1.1. Bargaining power of the suppliers
      • 3.3.1.2. Bargaining power of the buyers
      • 3.3.1.3. Threats of substitution
      • 3.3.1.4. Threats from new entrants
      • 3.3.1.5. Competitive rivalry
    • 3.3.2. PESTEL Analysis
      • 3.3.2.1. Political landscape
      • 3.3.2.2. Economic and Social landscape
      • 3.3.2.3. Technological landscape

Chapter 4. Fake Image Detection market: Offerings Estimates & Trend Analysis

  • 4.1. Segment Dashboard
  • 4.2. Fake Image Detection market: Offering Movement Analysis, 2022 & 2030 (USD Million)
  • 4.3. Software
    • 4.3.1. Software Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
      • 4.3.1.1. Deepfake image detection
      • 4.3.1.2. Photoshopped image detection
      • 4.3.1.3. AI-generated image detection
      • 4.3.1.4. Real-time verification
      • 4.3.1.5. Others
  • 4.4. Services
    • 4.4.1. Services Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
      • 4.4.1.1. Consulting services
      • 4.4.1.2. Integration & deployment
      • 4.4.1.3. Support & maintenance.

Chapter 5. Fake Image Detection market: Deployment Estimates & Trend Analysis

  • 5.1. Segment Dashboard
  • 5.2. Fake Image Detection market: Deployment Movement Analysis, 2022 & 2030 (USD Million)
  • 5.3. On-premises
    • 5.3.1. On-premises Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 5.4. Cloud
    • 5.4.1. Cloud Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)

Chapter 6. Fake Image Detection market: Technology Estimates & Trend Analysis

  • 6.1. Segment Dashboard
  • 6.2. Fake Image Detection market: Technology Movement Analysis, 2022 & 2030 (USD Million)
  • 6.3. Image Processing and Analysis
    • 6.3.1. Image Processing and Analysis Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 6.4. Machine Learning and AI
    • 6.4.1. Machine Learning and AI Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)

Chapter 7. Fake Image Detection market: Vertical Estimates & Trend Analysis

  • 7.1. Segment Dashboard
  • 7.2. Fake Image Detection market: Vertical Movement Analysis, 2022 & 2030 (USD Million)
  • 7.3. Government
    • 7.3.1. Government Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 7.4. BFSI
    • 7.4.1. BFSI Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 7.5. Healthcare
    • 7.5.1. Healthcare Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 7.6. IT & Telecom
    • 7.6.1. Telecom Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 7.7. Defense
    • 7.7.1. Real Estate Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 7.8. Media & Entertainment
    • 7.8.1. Media & Entertainment Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 7.9. Retail & E-commerce
    • 7.9.1. Retail & E-commerce Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 7.10. Others
    • 7.10.1. Others Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)

Chapter 8. Fake Image Detection market: Regional Estimates & Trend Analysis

  • 8.1. Fake Image Detection Market Share, By Region, 2022 & 2030 (USD Million)
  • 8.2. North America
    • 8.2.1. North America Fake Image Detection Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.2.2. U.S.
      • 8.2.2.1. U.S. Fake Image Detection Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.2.3. Canada
      • 8.2.3.1. Canada Fake Image Detection Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.2.4. Mexico
      • 8.2.4.1. Mexico Fake Image Detection Market Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 8.3. Europe
    • 8.3.1. Europe Fake Image Detection Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.3.2. UK
      • 8.3.2.1. UK Fake Image Detection Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.3.3. Germany
      • 8.3.3.1. Germany Fake Image Detection Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.3.4. France
      • 8.3.4.1. France Fake Image Detection Market Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 8.4. Asia Pacific
    • 8.4.1. Asia Pacific Fake Image Detection Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.4.2. China
      • 8.4.2.1. China Fake Image Detection Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.4.3. Japan
      • 8.4.3.1. Japan Fake Image Detection Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.4.4. India
      • 8.4.4.1. India Fake Image Detection Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.4.5. South Korea
      • 8.4.5.1. South Korea Fake Image Detection Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.4.6. Australia
      • 8.4.6.1. Australia Fake Image Detection Market Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 8.5. Latin America
    • 8.5.1. Latin America Fake Image Detection Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.5.2. Brazil
      • 8.5.2.1. Brazil Fake Image Detection Market Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 8.6. Middle East and Africa
    • 8.6.1. Middle East and Africa Fake Image Detection Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.6.2. UAE
      • 8.6.2.1. UAE Fake Image Detection Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.6.3. KSA
      • 8.6.3.1. KSA Fake Image Detection Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.6.4. South Africa
      • 8.6.4.1. South Africa Fake Image Detection Market Estimates and Forecasts, 2017 - 2030 (USD Million)

Chapter 9. Competitive Landscape

  • 9.1. Company Categorization
  • 9.2. Company Market Positioning
  • 9.3. Participant's Overview
  • 9.4. Financial Performance
  • 9.5. Product Benchmarking
  • 9.6. Company Heat Map Analysis
  • 9.7. Strategy Mapping
  • 9.8. Company Profiles/Listing
    • 9.8.1. Amped
    • 9.8.2. Canon
    • 9.8.3. Deepgram
    • 9.8.4. DeepWare AI
    • 9.8.5. Gradiant.
    • 9.8.6. Intel
    • 9.8.7. Microsoft corporation
    • 9.8.8. Qualcomm
    • 9.8.9. Sensity AI
    • 9.8.10. Sentinel
    • 9.8.11. Sony Corporation

List of Tables

  • Table 1 Global Fake Image Detection market by Offering, 2017 - 2030 (USD Million)
  • Table 2 Global Fake Image Detection market by Deployment, 2017 - 2030 (USD Million)
  • Table 3 Global Fake Image Detection market by Technology, 2017 - 2030 (USD Million)
  • Table 4 Global Fake Image Detection market by Vertical, 2017 - 2030 (USD Million)
  • Table 5 Global Fake Image Detection market by region, 2017 - 2030 (USD Million)
  • Table 6 North America Fake Image Detection market by country, 2017 - 2030 (USD Million)
  • Table 7 Europe Fake Image Detection market by country, 2017 - 2030 (USD Million)
  • Table 8 Asia Pacific Fake Image Detection market by country, 2017 - 2030 (USD Million)
  • Table 9 Latin America Fake Image Detection market by country, 2017 - 2030 (USD Million)
  • Table 10 MEA Fake Image Detection market by country, 2017 - 2030 (USD Million)
  • Table 11 Key companies launching new products/services.
  • Table 12 Key companies engaged in mergers & acquisition.
  • Table 13 Key companies engaged in Research & development.
  • Table 14 Key Companies engaged in expansion.

List of Figures

  • Fig. 1 Information procurement
  • Fig. 2 Primary research pattern
  • Fig. 3 Market research approaches
  • Fig. 4 Value chain-based sizing & forecasting
  • Fig. 5 Parent market analysis
  • Fig. 6 Fake Image Detection market snapshot
  • Fig. 7 Fake Image Detection market segment snapshot
  • Fig. 8 Fake Image Detection market competitive landscape snapshot
  • Fig. 9 Market research process
  • Fig. 10 Market driver relevance analysis (Current & future impact)
  • Fig. 11 Market restraint relevance analysis (Current & future impact)
  • Fig. 12 Fake Image Detection Market, Offering outlook key takeaways (USD Million)
  • Fig. 13 Fake Image Detection Market: Offering movement analysis 2022 & 2030 (USD Million)
  • Fig. 14 Software Fake Image Detection market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 15 Services Fake Image Detection market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 16 Fake Image Detection Market: Deployment outlook key takeaways (USD Million)
  • Fig. 17 Fake Image Detection Market: Deployment movement analysis 2022 & 2030 (USD Million)
  • Fig. 18 On-premises Fake Image Detection market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 19 Cloud Fake Image Detection market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 20 Fake Image Detection Market: Technology outlook key takeaways (USD Million)
  • Fig. 21 Fake Image Detection Market: Technology movement analysis 2022 & 2030 (USD Million)
  • Fig. 22 Image Processing and Analysis Fake Image Detection market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 23 Machine Learning and AI Fake Image Detection market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 24 Fake Image Detection Market: Vertical outlook key takeaways (USD Million)
  • Fig. 25 Fake Image Detection Market: Vertical movement analysis 2022 & 2030 (USD Million)
  • Fig. 26 Government Fake Image Detection market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 27 BFSI Fake Image Detection market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 28 Healthcare Fake Image Detection market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 29 Telecom Fake Image Detection market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 30 Real Estate Fake Image Detection market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 31 Media & Entertainment Fake Image Detection market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 32 Others Fake Image Detection market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 33 Regional marketplace: Key takeaways
  • Fig. 34 Fake Image Detection Market: Regional outlook, 2022 & 2030, USD Million
  • Fig. 35 North America Fake Image Detection market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 36 U.S. Fake Image Detection market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 37 Canada Fake Image Detection market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 38 Mexico Fake Image Detection market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 39 Europe Fake Image Detection market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 40 UK Fake Image Detection market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 41 Germany Fake Image Detection market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 42 France Fake Image Detection market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 43 Asia Pacific Fake Image Detection market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 44 Japan Fake Image Detection market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 45 China Fake Image Detection market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 46 India Fake Image Detection market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 47 South Korea Fake Image Detection market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 48 Australia Fake Image Detection market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 49 Latin America Fake Image Detection market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 50 Brazil Fake Image Detection market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 51 MEA Fake Image Detection market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 52 UAE Fake Image Detection market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 53 KSA Fake Image Detection market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 54 South Africa Fake Image Detection market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 55 Strategy framework
  • Fig. 56 Company Categorization