Deepfake AI Detection Market Size and Competitive Analysis by 2031

The deepfake AI detection market size is expected to reach US$ 3,463.82 million by 2031 from US$ 213.24 million in 2023. The market is estimated to record a CAGR of 41.7% from 2023 to 2031. The emergence of real-time deepfake AI detection solutions and deepfake AI detection with user behavioral elements are likely to bring new market trends.

Deepfake AI Detection Market Analysis

In recent years, there has been a growing demand for deepfake AI detection software owing to the rise in cyber-attacks through deepfake content. Business processes are becoming increasingly dependent on the cloud, artificial intelligence, and advanced automation systems. Thus, the rising utilization of artificial intelligence across various sectors is driving the deepfake AI detection market. In addition, deepfake AI detection software helps provide better insights into the detection of deepfake content and recognize fraud associated with it. Furthermore, the increase in penetration of mobile devices, the growth of the media and entertainment industry, and the rise in social content across the globe are a few other key factors contributing to the market growth.

Deepfake AI Detection Market Overview

Deepfake is a form of artificial intelligence that can create convincing false images, sounds, and videos. The term "deepfake" combines the deep learning concept with something fake. Deepfake compiles fake images and sounds and stitches them together using machine learning algorithms. This creates people and events that do not exist or actually did not happen. Deepfake technology is primarily used for criminal purposes, such as misleading the public by spreading false information or propaganda. Detection technologies aim to identify counterfeit media without having to compare it to the original, unaltered media. These advanced technologies typically use a form of AI known as machine learning. The models are trained on data from known real and fake media. Methods include searching for facial recognition, evidence of deepfake creation, and color anomalies.

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Deepfake AI Detection Market: Strategic Insights

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Deepfake AI Detection Market Drivers and Opportunities

Increasing Number of Deepfake Frauds and Scams

Deepfake AI can be used in positive and negative ways. Key utilization of deepfake AI by bad actors or scammers include election interference, blackmail, bullying, harassment, fake news, and financial frauds and scams. The huge growth in deepfake frauds is hitting people and businesses across the globe. For instance, according to Onfido's Identity Fraud Report 2023, identity fraud attacks showed a 31x increase in deepfake fraud from 2022 to 2023. In addition, as per the identity fraud report (2023) from Sum and Substance Ltd., the rate of identity fraud increased from 1.1% in 2021 to 2.0% in 2023. In Asia Pacific, deepfake attacks increased by 1530% from 2022 to 2023, with Vietnam, the Philippines, and Japan among the leaders.

North America registered the highest number of deepfake attacks detected globally across all industries, with a 1740% deepfake surge from 2022 to 2023. As per the report by Sum and Substance Ltd, social media, professional services, healthcare, digital transportation, and video gaming were the top five industries mostly affected by identity fraud and deepfake attacks in 2023. Deepfakes can affect people in many ways such as deepfake content, videos, images, and others. Regula's survey data in 2024 shows a significant rise in the prevalence of video deepfakes, with a 20% increase in companies reporting incidents compared to 2022. Approximately 29% of fraud decision-makers across Australia, France, Germany, Mexico, Turkey, the UAE, the UK, and the US reported encountering video deepfake fraud in 2022. Thus, the rising threat of deepfakes attacks globally demands a greater need for robust deepfake detection solutions.

Advancement in Technologies

With the number of deepfakes growing, deepfake detection software is becoming increasingly popular to protect against the harmful effects of fake videos and audio. Researchers are developing new methods for detecting deepfakes, such as AI models that detect color anomalies. According to recent studies, existing detection methods and models may not be able to accurately identify deepfakes in real-world scenarios. For example, accuracy may decrease if lighting conditions, facial expressions, or video or audio quality differ from the data used to train the recognition model or if the deepfake was created using a method other than that used in the training data. Additionally, future advances in deepfake generation are expected to eliminate hallmarks of current deepfake, such as abnormal eye blinking such as advanced machine learning, multimodal approach, and others. Therefore, technological advancements in deepfake AI detection tools and the rise in investments to develop advanced deepfake AI detection technologies are expected to create opportunities for the key companies operating in the market from 2023 to 2031.

Deepfake AI Detection Market Report Segmentation Analysis

Key segments that contributed to the derivation of the deepfake AI detection market analysis are component, deployment, enterprise size, and vertical.

• Based on component, the global deepfake AI detection market is classified into software and services. The software segment dominated the market in 2023.
• Based on deployment, the global deepfake AI detection market is classified into on-premises and cloud. The cloud segment dominated the market in 2023.
• Based on enterprise size, the global deepfake AI detection market is classified into small and medium enterprises (SMEs) and large enterprises. The large enterprises segment dominated the market in 2023.
• In terms of industry vertical, the deepfake AI detection market is divided into BFSI, media and entertainment, government and politics, healthcare and life sciences, IT and telecom, retail and e-commerce, and others. The media and entertainment segment dominated the market in 2023.

Deepfake AI Detection Market Share Analysis by Geography

• The deepfake AI detection market is segmented into five major regions: North America, Europe, Asia Pacific (APAC), the Middle East & Africa (MEA), and South & Central America. North America dominated the market in 2023, followed by Europe and APAC.
• North America is witnessing tremendous growth in the market due to the presence of key players focused on the advancement and adoption of deepfake AI detection in various industries. The well-established infrastructure in developed countries, such as the US and Canada, helps manufacturing firms explore the limits of science, technology, and commerce. North America is home to major market players such as IBM Corporation; Oracle; BMC Software, Inc.; ServiceNow Inc.; and Broadcom. The region has further witnessed massive adoption of technologies, including machine learning, artificial intelligence, robotics, automation, digitalization, and blockchain, during 2021–2023 in all major sectors. Owing to the adoption of AI in various industries for content creation, there is a rise in deepfake attacks generated by using AI, which increased by more than 1700% from 2022 to 2023 in the region. The rise in deepfake frauds in the region is anticipated to fuel the deepfake AI detection market growth in the coming years.

Deepfake AI Detection Market Regional Insights

The regional trends and factors influencing the Deepfake AI Detection Market throughout the forecast period have been thoroughly explained by the analysts at The Insight Partners. This section also discusses Deepfake AI Detection Market segments and geography across North America, Europe, Asia Pacific, Middle East and Africa, and South and Central America.

Deepfake AI Detection Market Report Scope

Deepfake AI Detection Market Players Density: Understanding Its Impact on Business Dynamics

The Deepfake AI Detection Market is growing rapidly, driven by increasing end-user demand due to factors such as evolving consumer preferences, technological advancements, and greater awareness of the product's benefits. As demand rises, businesses are expanding their offerings, innovating to meet consumer needs, and capitalizing on emerging trends, which further fuels market growth.

Market players density refers to the distribution of firms or companies operating within a particular market or industry. It indicates how many competitors (market players) are present in a given market space relative to its size or total market value.

Major Companies operating in the Deepfake AI Detection Market are:

1. Sightengine
2. Clarity
3. FaceOnLive
4. Buster.Ai
5. SpoofSense
6. Facia.ai

Disclaimer: The companies listed above are not ranked in any particular order.

Deepfake AI Detection Market News and Recent Developments

The deepfake AI detection market is evaluated by gathering qualitative and quantitative data post primary and secondary research, which includes important corporate publications, association data, and databases. A few of the developments in the deepfake AI detection market are listed below:

• Microsoft and OpenAI have announced a US$ 2 million funding to combat the growing risks of AI and deepfakes being used to deceive voters and undermine democracy.

(Source: Microsoft, Press Release, May 2024)

• BioID, a leading provider of biometric authentication solutions, announced the release of its updated deepfake detection technology 2.0. This solution harnesses the power of artificial intelligence (AI) to counter the most recent cybersecurity menace posed by manipulated images and videos, e.g., deepfake media across online platforms.

(Source: BioID, Press Release, March 2024)

Deepfake AI Detection Market Report Coverage and Deliverables

The "Deepfake AI Detection Market Size and Forecast (2021–2031)" provides a detailed analysis of the market covering the areas mentioned below:

• Deepfake AI detection market size and forecast at global, regional, and country levels for all the key market segments covered under the scope
• Deepfake AI detection market trends, as well as market dynamics such as drivers, restraints, and key opportunities
• Detailed PEST and SWOT analysis
• Deepfake AI detection market analysis covering key market trends, global and regional framework, major players, regulations, and recent market developments
• Industry landscape and competition analysis covering market concentration, heat map analysis, prominent players, and recent developments for the deepfake AI detection market
• Detailed company profiles