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Fake Image Detection Market worth $3.9 billion by 2029 - Exclusive Report by MarketsandMarkets™
[April 02, 2024]

Fake Image Detection Market worth $3.9 billion by 2029 - Exclusive Report by MarketsandMarkets™


CHICAGO, April 2, 2024 /PRNewswire/ -- Real-time detection capabilities, customised solutions for various platforms, and improvements in AI and machine learning are what will define the future of the Fake Image Detection Market. The industry is expanding due to regulatory compliance, regulatory attention on deepfake detection, and improved user education to successfully counteract disinformation.

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The Fake Image Detection Market size is projected to grow from USD 0.6 billion in 2024 to USD 3.9 billion by 2029 at a Compound Annual Growth Rate (CAGR) of 41.6% during the forecast period, according to a new report by MarketsandMarkets™.  The key driver for the adoption of fake image detection solutions lies in the imperative to mitigate potential legal liabilities and reputational risks. With the increasing sophistication of image manipulation tools and the rapid spread of fake images across various online platforms, organizations face heightened scrutiny and potential legal consequences for inadvertently disseminating or failing to detect such content. Therefore, the adoption of robust detection technologies serves to protect users from misinformation and shields organizations from legal liabilities, regulatory sanctions, and damage to their brand reputation, thereby encouraging proactive investment in fake image detection solutions.

Browse in-depth TOC on "Fake Image Detection Market"

410 - Tables
48 - Figures
296 - Pages

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Scope of the Report





Report Metrics

                 Details

Market size available for years

2018-2029

Base year considered

2023

Forecast period

2024–2029

Forecast units

Value (USD Million/USD Billion) 

Segments Covered

Offering, Technology, Application, Target User, Deployment Mode, Organization Size, Vertical, and Region.

Geographies covered

North America, Europe, Asia pacific, Middle east & Africa and Latin America

Companies covered

Major vendors in the Fake Image Detection Market include Microsoft Corporation (US), Gradient (Spain), Facia (UK), Image Forgery Detector (Belgium), Q-integrity (Switzerland), iDenfy (Lithuania), DuckDuckGoose AI (Netherlands), Primeau Forensics, Sentinel AI (Estonia), iProov (UK), Sensity AI (Netherlands), Truepic (US), BioID (Germany), Reality Defender (US), Clearview AI (US), and Kairos (US).


 

Based on the offering, the services segment accounts for the highest market size during the forecast period.

The adoption of fake image detection solutions has seen a significant rise in recent years, driven by the proliferation of digitally manipulated content across various online platforms. These solutions employ advanced algorithms, often based on machine learning and deep learning techniques, to analyze images for signs of manipulation or alteration. They scrutinize factors such as pixel inconsistencies, lighting inconsistencies, and anomalous patterns to identify potential fakes. With the growing concern over the spread of misinformation and fake news, organizations, social media platforms, and even individuals are increasingly turning to these solutions to safeguard against the harmful effects of deceptive imagery. While the technology continues to evolve, its adoption represents a proactive step towards maintaining the integrity and authenticity of visual content in the digital age. Some vendors in  fake image detection includes Microsoft, Gradiant, Iproov, Image Forgery Detector, Quantum Integrity, Primeau Forensics, Sensity AI, Sentinel Ai, and Idenfy.

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By deployment mode, cloud segment will grow at the highest CAGR during the forecasted period.

The cloud deployment has significantly enhanced the capabilities of fake image detection technologies and is experiencing steady growth in Fake Image Detection Market. By leveraging cloud infrastructure, these detection systems can access vast computational resources, enabling faster processing and analysis of images. Cloud services often provide advanced machine learning algorithms and artificial intelligence frameworks that enhance the accuracy and efficiency of fake image detection models. Additionally, cloud deployment facilitates seamless integration with other security systems and data sources, enabling a more comprehensive approach to combating the proliferation of fake images across online platforms. The cloud deployment in fake image detection is vital in effectively addressing the evolving challenges posed by digital manipulation and misinformation.

By region, Europe is to grow at the highest CAGR during the forecast period.

Europe is expected to is expected to register high growth rates in the Fake Image Detection Market. Emerging European markets, such as the UK, Germany, France, and Italy are expected to offer significant growth opportunities for the Fake Image Detection Market. In recent years, Europe has increasingly recognized the importance of combating the proliferation of fake images across digital platforms. Governments, tech companies, and civil society organizations have collaborated to implement measures aimed at detecting and mitigating the spread of manipulated or fabricated images.

Top Key Companies in Fake Image Detection Market:

Microsoft Corporation (US), Gradiant (Spain), Facia (UK), Image Forgery Detector (Belgium), Q-integrity (Switzerland), iDenfy (Lithuania), DuckDuckGoose AI (Netherlands), Primeau Forensics, Sentinel AI (Estonia), iProov (UK), Sensity AI (Netherlands), Truepic (US), BioID (Germany), Reality Defender (US), Clearview AI (US), and Kairos (US)are the key players and other players in the Fake Image Detection Market.

Recent Developments

  • In March 2024, BioID released a new version of its deepfake detection software to secure biometric authentication and digital identity verification against manipulated images and videos. The software prevents identity spoofing by detecting deepfakes and content generated or manipulated by AI, with real-time analysis and feedback on both photos and videos.
  • In June 2023, iDenfy, recently partnered with LeakIX, a cybersecurity platform analyzing Internet data to aid organizations in risk mitigation. Integrating iDenfy's ID verification solution, LeakIX aims to bolster payment fraud detection and thwart the creation of fake accounts.
  • In August 2022, Microsoft launched a Video Authenticator software that detects deepfake photos and videos. The application gives a confidence score sorts to help users identify whether the media is artificially manipulated.

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Fake Image Detection Market Advantages:

  • By identifying altered or fake photos, fake image detection systems contribute to the preservation of credibility and trust by halting the dissemination of false information.
  • These solutions shield people, companies, and brands from reputational harm caused by the spread of false or fraudulent photographs by identifying and flagging bogus images.
  • By confirming an image's legitimacy, fake image detection protects digital content integrity and advances correctness and transparency in online communication and media.
  • By spotting and disproving altered photos used to propagate misinformation and propaganda, bogus image detection systems are essential in the fight against disinformation campaigns and fake news.
  • Since dangerous links and files containing malware are frequently used as bait to trick users into clicking on them, phoney image detection technologies aid in the mitigation of cyber dangers including phishing attacks and malware dissemination.
  • These technologies help to safeguard intellectual property rights, ensure compliance with laws and regulations controlling the use of copyrighted content, and stop fraud and identity theft by detecting phoney images.
  • By spotting altered or doctored photos used as evidence in court, fake image detection technologies help maintain the integrity of digital forensics investigations while guaranteeing the dependability and accuracy of forensic analysis.

Report Objectives

  • To describe and forecast the Fake Image Detection Market by offering, technology, application, target user, deployment mode, organization size, vertical, and region from 2024 to 2029, and analyze the various macroeconomic and microeconomic factors that affect market growth
  • To analyze the subsegments of the market concerning individual growth trends, prospects, and contributions to the overall market
  • To provide detailed information regarding major factors (drivers, restraints, opportunities, and challenges) influencing the growth of the market
  • To analyze the opportunities in the market for stakeholders and provide details of the competitive landscape for the major players
  • To profile the key market players; provide a comparative analysis based on the business overviews, regional presence, product offerings, business strategies, and critical financials; and illustrate the market's competitive landscape.
  • To track and analyze the competitive developments, such as mergers and acquisitions, product developments, partnerships and collaborations, and research development (R&D) activities, in the market

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