“Global Fake Image Detection Market to reach a market value of USD 8.2 Billion by 2031 growing at a CAGR of 40.3%”
The Global Fake Image Detection Market size is expected to reach $8.2 billion by 2031, rising at a market growth of 40.3% CAGR during the forecast period.
With the increasing digitization of business processes and transactions, there has been a corresponding rise in digital fraud activities. Therefore, the fraud detection segment acquired $117.4 million revenue in 2023. Fraudsters use various techniques, including creating and disseminating fake images, to deceive individuals, businesses, and organizations for financial gain. As digital fraud becomes more sophisticated and pervasive, there is a growing need for robust fraud detection solutions to identify and mitigate fraudulent activities effectively.
Integration with image editing software creates a real-time feedback loop for users. As they manipulate images, they receive immediate feedback on the authenticity of their edits. correctm to correct unintentional manipulations and ensures that only genuine content is shared, fostering a culture of authenticity and trust in digital media. Thus, the rising integration with image editing software drives the market’s growth.
Additionally, AI and ML algorithms have significantly improved the accuracy of fake image detection by enabling the development of more sophisticated and robust detection models. This rapid processing speed is essential for platforms with high traffic volumes, social media platforms, and online marketplaces where fake content can spread rapidly.
However, as technology advances, so do malicious actors’ techniques to manipulate images. From simple alterations like cropping and resizing to more complex methods such as deep learning-based generation and manipulation, the sophistication of manipulation techniques continues to evolve. In conclusion, evolving image manipulation techniques are hampering the market’s growth.
Based on enterprise size, the market is divided into large enterprises and SMEs. The large enterprises segment attained a 70% share in the market in 2023. Large enterprises have established brands and reputations to protect.
By deployment mode, the market is divided into on-premise and cloud. The cloud segment procured a 36% remarkable revenue share in the market in 2023. Cloud solutions offer scalability and flexibility that on-premises deployments may struggle to match.
On the basis of target user, the market is segmented into individual, professional, and enterprise grade. The professional segment recorded a 42.1% revenue share in the market in 2023. Professional users often have unique requirements and challenges regarding fake image detection.
Based on technology, the market is categorized into machine learning & deep learning and image forensics. In 2023, the image forensics segment witnessed a considerable 31% revenue share in the market. Image forensics techniques, which involve analyzing the digital signatures and artifacts left behind by image manipulation processes, offer a more robust and reliable approach to detecting fake images.
By vertical, the market is segmented into government, BFSI, healthcare & lifesciences, telecom, real estate, media & entertainment, and others. In 2023, the government segment registered 37.4% revenue share in the market.
Based on offering, the market is divided into solutions and services. In 2023, the solutions segment garnered a 74.2% revenue share in the market. With the proliferation of digital content and the widespread availability of image editing tools, creating and disseminating fake images have become increasingly prevalent.
On the basis of application, the market is divided into social media & content moderation, digital forensics, fraud detection, healthcare & medical imaging, and recruitment. In 2023, the digital forensics segment held a promising growth rate in the market.
Free Valuable Insights: Global Fake Image Detection Market size to reach USD 8.2 Billion by 2031
Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The North America region witnessed a 39% revenue share in the market in 2023. North America is a hub for technology innovation and digital transformation, with high internet penetration and widespread use of social media platforms.
| Report Attribute | Details |
|---|---|
| Market size value in 2023 | USD 568.6 Million |
| Market size forecast in 2031 | USD 8.2 Billion |
| Base Year | 2023 |
| Historical Period | 2020 to 2022 |
| Forecast Period | 2024 to 2031 |
| Revenue Growth Rate | CAGR of 40.3% from 2024 to 2031 |
| Number of Pages | 383 |
| Number of Tables | 730 |
| Report coverage | Market Trends, Revenue Estimation and Forecast, Segmentation Analysis, Regional and Country Breakdown, Porter’s 5 Forces Analysis, Company Profiling, Companies Strategic Developments, SWOT Analysis, Winning Imperatives |
| Segments covered | Offering, Enterprise Size, Deployment Mode, Target User, Technology, Application, Vertical, Region |
| Country scope |
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| Companies Included | Microsoft Corporation, BioID GmbH, Truepic, Inc, Sensity B.V., iProov Ltd., Primeau Forensics LTD., DuckDuckGoose AI, iDenfy, Q-Integrity, Facia.ai |
By Offering
By Application
By Enterprise Size
By Deployment Mode
By Target User
By Technology
By Vertical
By Geography
This Market size is expected to reach $8.2 billion by 2031.
Rising integration with image editing software are driving the Market in coming years, however, Evolving techniques of image manipulation restraints the growth of the Market.
Microsoft Corporation, BioID GmbH, Truepic, Inc, Sensity B.V., iProov Ltd., Primeau Forensics LTD., DuckDuckGoose AI, iDenfy, Q-Integrity, Facia.ai
The expected CAGR of this Market is 40.3% from 2024 to 2031.
The Social Media & Content Moderation segment acquired the maximum revenue in the Market by Application in 2023; thereby, achieving a market value of $3 billion by 2031.
The North America region dominated the Market by Region in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of $3 billion by 2031.
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