Fake Image Detection Market Analysis

Fake Image Detection Industry Insights

Offering Insights

• Solutions are the larger category in the fake image detection market, holding a share of 65% in 2024. Photoshopped images can be easily created by adjusting brightness, cropping, changing appearance, or making more-complex changes, to spread misleading content. With the rapid rise in the popularity of Adobe Photoshop and other similar software, the threat of false pictures has risen.
• Several AI deepfake detector tools and software, for instance, DuckDuckGoose, Reality Demender, and iProov, are available online. They can be easily accessed by paying a subscription fee.

Below are the offerings analyzed for this market:

• Solution (Larger and Faster-Growing Category)
• Service

Technology Insights

• Machine learning/deep learning (ML/DL) is the larger and faster-growing category, with a 2024 share of 70% and 2024–2030 CAGR of 42.3%, respectively. This is because these technologies automate the process of fake image detection and make it more accurate than if being performed by humans.
• By setting some algorithms, ML and DL can be trained to detect patterns in fake images, such as manipulation, editing, contrast changes, and brightness changes.
• Moreover, with ML, machines start learning by themselves, which can reduce human involvement in the process. It mainly uses convolutional neural networks (CNN) and generative adversarial networks (GAN) for deep fake image detection.

Below are the technologies used for fake image detection considered in the report:

• Machine Learning/Deep Learning (ML/DL) (Larger and Faster-Growing Category)
• Image Forensics

Deployment Insights

• Cloud is the larger and faster-growing category, with a CAGR of 42.4% during the forecast period.
• Deploying this software on the cloud offers advantages such as scalability, cost-effectiveness, and anytime, anywhere accessibility. Being available on the Internet makes it easily accessible to users.
• Moreover, the availability of an online platform makes it easy for multiple users to access it. Furthermore, it comes with a friendly interface, which makes it easy to operate and customize. Other advantages include advanced security, visualization, and other features.
• It comes with a variety of pricing options for the different needs and requirements of each client.

Below are the deployments considered in the report

• Cloud (Larger and Faster-Growing Category)
• On-Premises

Industry Insights

• The government category holds the largest and fastest share in the market, of 35%, in 2024. Misinformation, especially on political leaders and their activities, spreads like wildfire, posing a threat to democracy and public harmony.
• India’s Ministry of Electronics and Information Technology has made the announcement to take decisive measures on these topics and even expressed an urgent need to strengthen rules and regulations against deepfakes.
• Regulations on the detection of deepfakes, prevention of the deepfakes, building of grievance and reporting mechanism, and raising awareness continue to be evolved by governments around the world.
• Moreover, according to Cyfrima, deepfake cases have increased by 230% in recent times.

Below are the industries studies in this report:

• Government (Largest and Fastest-Growing Category)
• Media and Entertainment
• Banking, Financial Services, and Insurance (BFSI)
• Healthcare
• Real Estate
• Others

Application Insights

• The social media and content moderation category is the largest in 2024. This is because social media is the quickest and most-easily accessible platform for making any fake image go viral.
• Many companies, such as X, Meta, and Microsoft, have come forward to detect and delete these fake images from social media. In recent months, social media users have been bombarded with deepfake images of politicians, terrorism, and global events, which can influence people and can cause problems.
• In December 2023, the Government of India issued advisory to all social media companies, including WhatsApp, Instagram, Facebook, and Google, to remove any deepfake-driven misinformation.

Below are the applications included in this report:

• Fraud Detection and Prevention
• Social Media and Content Moderation (Largest and Fastest-Growing Category)
• Recruitment
• Cyber Defense
• Digital Forensics
• Incident Reporting