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到 2030 年的假影像偵測市場預測：按產品、部署模型、組織規模、技術、應用程式、最終用戶和地區進行的全球分析

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個工作天內

價格

根據 Stratistics MRC 的數據，2023 年全球假影像偵測市場規模將達到 4 億美元，預計到 2030 年將達到 52 億美元，預測期內複合年成長率為 43.6%。

虛假影像檢測涉及使用演算法和技術來識別已被操縱或偽造的影像。通常，反向影像搜尋、元資料分析和數位鑑識等技術用於發現影像資料中的不一致和異常。先進的機器學習和深度學習方法也用於檢測細微的改變，例如影像拼接或操作產生的偽影。

傳播錯誤訊息

虛假資訊的不斷傳播挑戰開發人員創新和改進假影像檢測演算法。這就是為什麼影像分析、機器學習和人工智慧的進步正在幫助我們更好地識別被操縱或偽造的影像。組織和個人正在尋找可靠的方法來檢驗影像的真實性，以打擊錯誤訊息的傳播。這種成長吸引了新的參與者和投資進入市場，增加競爭並促進創新。

製造成本高、應用困難

高製造成本可能導致偽造影像偵測解決方案過於昂貴，並且對於小型企業、組織和個人而言受到限制。結果可能是只有擁有大量預算的大公司才能部署有效的偽造影像檢測方法。此外，潛在客戶可能會因為感知到的障礙而推遲或放棄採用，從而導致市場擴張和成熟的時限更長。

人工智慧 (AI) 和機器學習 (ML) 的進步

人工智慧和機器學習實現了虛假圖像檢測過程的自動化，減少了手動干預的需要。自動偵測系統可以快速分析大量影像並標記潛在的操縱案例，以便人類專家進一步檢驗。這提高了影像身份驗證工作流程的效率，並能夠更快地回應新出現的威脅。這樣，隨著新形式的影像處理的出現，偵測演算法就會得到更新和重新訓練，以領先於新的威脅，確保打擊假冒影像的持續有效性。

由於競爭激烈，原料的供應情況

對原料的激烈競爭可能會分散用於技術創新的研發工作的資源和注意力。製造商可能會專注於削減成本措施和最佳化現有產品，而不是投資開發新的和改進的假冒影像檢測技術。因此，新參與企業可能難以以有競爭力的價格獲得可靠的原料來源，這可能會妨礙他們與現有企業進行有效競爭。

COVID-19 的影響

遠端工作和線上互動正在擴大篡改圖像的傳播並推動市場成長。然而，經濟的不確定性正在限制一些組織的預算並影響採購決策。此外，供應鏈中斷和物流挑戰正在影響生產和分銷。儘管存在這些障礙，打擊錯誤訊息的需求正在推動人工智慧和機器學習的創新，以提高偵測能力。

數位浮水印和數位簽章部分預計將在預測期內成為最大的部分

數位浮水印和數位簽章數位簽章部分預計將出現良好的成長，因為數位浮水印和數位簽章的存在可以阻礙力影像操縱和篡改。了解圖像具有可追溯到原始圖像的標識符可以阻止惡意行為者創建虛假或篡改圖像，並減少錯誤訊息的傳播。

醫療保健和醫學影像預計在預測期內具有最高的複合年成長率

醫療保健和醫學影像領域預計在預測期內將以最高的複合年成長率成長。遵守美國的 HIPAA（健康保險流通與責任法案）和歐洲的 GDPR（通用資料保護條例）等法規正在推動虛假圖像檢測技術的採用，以保持合規性並降低法律風險。

佔比最大的地區：

預計亞太地區在預測期內將佔據最大的市場佔有率。這是因為亞太地區的電子商務和社群媒體產業正在蓬勃發展，為假影像檢測解決方案創造了商機。電子商務平台和社群媒體網路面臨打擊仿冒品圖像和操縱視覺效果傳播的壓力，從而推動了對檢測工具的需求。此外，這些領域的進步正在推動偽造影像偵測的創新，從而帶來更準確、更有效率的偵測演算法。

複合年成長率最高的地區：

預計北美在預測期內的複合年成長率最高，因為它是一些全球最大的電子商務平台和社交媒體網路的所在地。這些平台擴大成為惡意行為者的目標，他們傳播虛假產品圖像、操縱的視覺效果和錯誤訊息。因此，對虛假影像偵測解決方案的需求不斷成長，以保護數位內容的完整性並保護消費者免受詐騙活動的侵害。檢測技術的進步、準確性的提高以及旨在擴大市場範圍的協作正在促進市場的成長和成熟。

提供免費客製化：

訂閱此報告的客戶可以存取以下免費自訂選項之一：

  • 公司簡介
    • 其他市場參與者的綜合分析（最多 3 家公司）
    • 主要企業SWOT分析（最多3家企業）
  • 區域分割
    • 根據客戶興趣對主要國家的市場估計、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

目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 研究資訊來源
    • 主要研究資訊來源
    • 二次研究資訊來源
    • 先決條件

第3章市場趨勢分析

  • 促進因素
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19 的影響

第4章波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭公司之間的敵對關係

第5章全球虛假影像檢測市場：透過提供

  • 解決方案
    • 檢驗內容真實性
    • AI產生的內容偵測
    • 深度造假影像偵測
    • 檢測 Photoshop 影像
    • 即時偵測
    • 行動應用
    • 瀏覽器擴充
  • 服務
    • 支援與維護
    • 部署與整合
    • 諮詢
  • 其他優惠

第6章全球假影像偵測市場：依部署模型

  • 本地
  • 雲

第7章全球假影像偵測市場：依組織規模

  • 主要企業
  • 中小企業

第8章全球假影像偵測市場：依技術分類

  • 機器學習 (ML) 與深度學習 (DL)
    • 卷積類神經網路
    • 生成對抗網路（GAN）
  • 形象評價
    • 元資料分析
    • 錯誤等級分析
  • 浮水印數位簽章
  • 基於AI的檢測演算法
  • 基於區塊鏈的檢驗系統
  • 其他技術

第9章全球虛假影像偵測市場：依應用分類

  • 社群媒體平台
  • 電子商務和線上市場
  • 新聞和媒體組織
  • 醫療保健和醫學影像
  • 詐騙偵測
  • 其他用途

第10章全球虛假影像檢測市場：依最終用戶分類

  • 銀行、金融服務和保險 (BFSI)
  • 政府
  • 通訊
  • 房地產
  • 教育機構
  • 其他最終用戶

第11章全球假影像偵測市場：按地區

  • 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
    • 南美洲其他地區
  • 中東/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

第12章 主要進展

  • 合約、夥伴關係、協作和合資企業
  • 收購和合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第13章 公司概況

  • 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.