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市場調查報告書
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1493482

假影像偵測市場規模、佔有率、趨勢分析報告：按產品、按部署、按技術、按行業、按地區、細分市場預測，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個工作天內

價格

假影像檢測市場成長與趨勢：

Grand View Research, Inc. 的最新報告顯示，到 2030 年，全球假影像檢測市場規模預計將達到 73.2 億美元。

預計2024年至2030年該市場將以37.8%的複合年成長率成長。虛假影像的廣泛使用迫切需要有效的檢測解決方案。這項技術對於打擊錯誤訊息和確保線上內容的可信度至關重要。隨著虛假圖像繼續威脅社會信任、社會和諧和網路平台的聲譽，各利益相關人員正在採取行動。從科技公司到監管機構，迫切需要實施虛假影像檢測解決方案。

我強調，這種集體努力認知到該技術在提高透明度、實現明智決策和維護線上通訊完整性方面發揮的關鍵作用。雲端基礎的服務的興起徹底改變了虛假影像檢測。這些服務利用了雲端強大的演算法和廣泛的運算資源。在巨大資料集上訓練的機器學習模型甚至可以識別影像中的細微操作。這種雲端基礎的方法可以快速分析大量資料，從而可以在各種平台和應用程式上進行虛假影像檢測。這些服務通常提供應用程式介面 (API) 和軟體開發套件(SDK)，以便順利整合到現有系統中。

這使得開發人員可以輕鬆地將虛假影像偵測功能合併到他們的應用程式中。 Gradient、Clearview AI 和其他各種公司處於提供雲端基礎的虛假影像偵測解決方案的前沿。透過機器學習 (ML) 和卷積類神經網路(CNN) 進行深度學習已成為假影像偵測的主流。這些演算法擅長透過分析細微的不一致來識別經過處理或合成的圖像。在巨大的真假圖像資料集上訓練的 CNN 可以學習複雜的特徵並區分真實內容。此外，生成對抗網路（GAN）等深度學習的進步可以幫助研究人員領先於不斷發展的影像處理技術。

因此，深度學習和機器學習已成為打擊虛假影像的重要工具，使線上視覺效果在各個平台上更加可靠和值得信賴。此外，政府對深度造假檢測的監督為市場帶來了機會和挑戰。雖然監管可以增加需求、標準化檢測方法並建立用戶信任，但它也可能抑制創新並迫使公司承擔合規成本。平衡有效檢測與培育充滿活力的市場非常重要。

虛假影像檢測市場報告亮點

  • 雲端領域將引領市場，到2023年將佔全球銷售額的53.5%。該雲端平台提供對專門用於檢測操縱影像的尖端人工智慧和機器學習演算法的存取。這些演算法不斷發展，並學習識別新出現的操縱技​​術。
  • 隨著人工智慧驅動的腳本和對話生成的興起，檢測這些領域的操縱的能力變得極為重要。偵測工具可用於分析寫作風格、辨識角色聲音中的不一致之處，或標記可能表示劇本非常虛假的異常情節元素。
  • 自訂人工智慧模型的興起正在響應特定行業的需求。例如，一個社群媒體平台可能會優先檢測深度造假，而另一個報導機構可能會專注於識別被竄改的照片。這種專業化使得該模型在目標領域非常有效。
  • KYC 等監管要求強制要求嚴格的客戶識別程序。虛假影像檢測透過檢驗客戶提供的文件（例如護照和駕駛執照）的真實性來簡化 KYC 流程。這降低了詐欺開戶和洗錢的風險。
  • 北美地區在 2023 年佔據市場主導地位，收益佔有率為 32.6%。在北美，媒體、娛樂、金融和政府等各領域對數位內容身分驗證的需求不斷增加。隨著深度造假事件和錯誤訊息的增加，企業和機構正在優先投資可靠的檢測工具。

目錄

第1章調查方法和範圍

第 2 章執行摘要

第 3 章 假影像偵測市場變數、趨勢與範圍

  • 市場體系展望
  • 市場動態
    • 市場促進因素分析
    • 市場限制因素分析
    • 產業挑戰
  • 假影像檢測市場分析工具
    • 產業分析-波特五力分析
    • PESTEL分析

第4章 假影像偵測市場：供給估計與趨勢分析

  • 細分儀表板
  • 假影像檢測市場：2022 年和 2030 年報價變化分析
  • 軟體
  • 服務

第5章 假影像偵測市場：發展預測與趨勢分析

  • 細分儀表板
  • 假影像檢測市場：2022 年和 2030 年的演化變化分析
  • 本地
  • 雲

第6章 假影像偵測市場：技術評估與趨勢分析

  • 細分儀表板
  • 假影像檢測市場：2022 年和 2030 年技術變化分析
  • 影像處理與分析
  • 機器學習和人工智慧

第7章 假影像偵測市場：產業預測與趨勢分析

  • 細分儀表板
  • 假影像檢測市場：2022 年和 2030 年產業變化分析
  • 政府
  • BFSI
  • 衛生保健
  • 資訊科技和通訊
  • 防禦
  • 媒體和娛樂
  • 零售/電子商務
  • 其他

第8章 假影像偵測市場：區域估計與趨勢分析

  • 2022 年及 2030 年虛假影像檢測市場佔有率（按地區）
  • 北美洲
    • 2017-2030 年北美虛假影像檢測市場估計與預測
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 2017-2030 年歐洲虛假影像檢測市場估計與預測
    • 英國
    • 德國
    • 法國
  • 亞太地區
    • 2017-2030年亞太地區虛假影像檢測市場估計與預測
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
  • 拉丁美洲
    • 2017-2030 年拉丁美洲虛假影像檢測市場估計與預測
    • 巴西
  • 中東和非洲
    • 2017-2030 年中東和非洲虛假影像檢測市場估計和預測
    • 阿拉伯聯合大公國
    • 沙烏地阿拉伯
    • 南非

第9章 競爭格局

  • 公司分類
  • 公司市場定位
  • 參與企業概況
  • 財務績效
  • 產品基準
  • 企業熱力圖分析
  • 策略規劃
  • 公司簡介/名單
    • 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