According to our latest study on "Deepfake AI Detection Market Size and Forecasts (2021 - 2031), Global and Regional Share, Trends, and Growth Opportunity Analysis - by Component, Deployment, Enterprise Size, and Industry Vertical," the deepfake AI detection market size was valued at US$ 213.24 million in 2023 and is expected to reach US$ 3,463.85 million by 2031; it is estimated to record a CAGR of 41.7% from 2023 to 2031.

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, respectively. The Europe deepfake AI detection market is segmented into Germany, France, the UK, Italy, Russia, and the Rest of Europe. In terms of revenue, UK dominated the deepfake AI detection market share. Europe is witnessing increasing digitalization across various industries, including BFSI, healthcare, IT & telecom, and retail and e-commerce, among others. Almost every well-known banking institution in Europe is implementing a digital transformation strategy. As per digitalization plans for banks, the region is focused on offering digital services and goods 24/7, as well as improving customer experience. The EU has set two main goals for the digitalization of businesses by 2030: more than 90% of SMEs must achieve at least a basic level of digital intensity, and 75% of EU companies should use cloud computing services. By 2030, extensive data analysis is expected to be carried out using artificial intelligence (AI). According to the EU, in 2023, more than 70% of all EU companies reached a basic level of digital intensity. The proportion of SMEs was 69%, whereas large companies stood at 98%. Thus, increasing digitalization in Europe increases the need for security solutions for such a massive amount of data generation.

According to ISMS.online, deepfakes have become the second most common information security incident affecting UK businesses. More than a third of organizations experienced such incidents in 2023. In addition, as per the report of the identity fraud rate by Sum and Substance Ltd, the identity fraud rate in the UK increased by 1.63% in 2023 as compared to 2022. In addition, the deepfake fraud attacks in the UK increased by more than 300% from 2022 to 2023. Such a rise in cyberattacks due to deepfake AI technology is anticipated to boost the deepfake AI detection market growth in the country from 2023 to 2031. The National Health Service in the UK is currently undertaking funding reform to support the transformation of health and social care through technological developments such as high-speed connectivity, digital skills, and cyber security. To support this, the UK government is making various investments in the digitalization of the healthcare sector. For example, in June 2022, the UK government announced an investment of US$ 182.38 million over the next three years to support social care and enable the digital transformation of healthcare.

Key Findings of Deepfake AI Detection Market Study:

The deepfake AI detection market is segmented into component, deployment, enterprise size, and end use industry. Based on component, the deepfake AI detection market is segmented into software and services. Based on deployment, the deepfake AI detection market is segmented into cloud and on-premises. By enterprise size, the market is bifurcated into SMEs and large enterprises. The deepfake AI detection market, by Industry Vertical, is segmented into media and entertainment, BFSI, government and politics, healthcare and life sciences, IT and telecom, retail and e-commerce, and others.

Based on enterprise size, the global deepfake AI detection market is classified into small and medium enterprises (SMEs) and large enterprises. Large enterprises comprise companies with more than 500 employees. The adoption of deepfake AI detection software allows large enterprises to monitor deepfake incidents or frauds by bad actors. Large enterprises need to manage a much larger number of equipment and stakeholders and require more complex technology to manage data and deepfake content efficiently. This, in turn, can help them grow their consumer base, resulting in increased revenue. More than a general deepfake detection software is required for large companies in today's fast-paced digital environment, where artificial intelligence solutions are in high demand. This is because large organizations often have specialized or complex requirements. In such cases, advanced deepfake AI detection solutions ensure that large enterprises can process the deepfake content without fear of loss of data in scams. Hence, the rise in demand for deepfake AI detection software or tools from large enterprises to monitor deepfake fraud at the earliest and maintain a secure environment is anticipated to drive market growth for this segment from 2023 to 2031.

On the basis of Industry Vertical, the media and entertainment industry is at risk of content manipulation, which can compromise integrity. This industry creates playful deepfake content; however, the use of deepfake for creating pornographic content involving certain artists affects the reputation of media and artists in the industry. Therefore, companies need to invest in verification technology and implement ethical standards for content. As per the identity fraud report-2023 by Sum and Substance Ltd., in 2023, the highest percentage of identity fraud was in the online media sector, with a rise from 1.56% in 2021 to 4.27% in 2023. The rise in identity fraud in the industry is expected to drive the deepfake AI detection market growth in the coming years.

The BFSI sector is witnessing the increasing adoption of digital-savvy banking, which has led to a surge in deepfake incidences using artificial intelligence by scammers. This is expected to drive the demand for deepfake AI detection software from enterprises in the BFSI sector. The rise in competition is evident in the sector, with new entrants competing with established companies. Owing to such fierce competition, key BFSI players are focusing on integrating artificial intelligence in digital content creation to attract customers and serve them efficiently, along with gaining new customers and retaining existing ones by adopting the best promotion strategy by integrating AI and other advanced technologies. In addition, government initiatives to promote cashless and digital economies and advanced credit management and payment, as well as to bring modifications in consumer behavior, are changing the way financial service companies are operating and competing in the deepfake AI detection market.

The BFSI industry is highly vulnerable to deepfake attacks, as fraudsters can use fake voice or video recordings to request money transfers, illegally access accounts, or commit identity fraud. The consequences are not only significant financial losses for individuals and businesses but also the loss of consumer trust in financial institutions. To combat this problem, many banks and financial institutions have begun to implement more sophisticated biometric security systems and multi-factor verification. The rise in deepfake frauds in BFSI is anticipated to fuel the demand for deepfake AI detection tools in the coming years.

Sightengine; Clarity; FaceOnLive; Buster.Ai; SpoofSense; Facia.ai; Kroop AI; Reality Defender Inc.; Au10tix; Microsoft; BioID; Sensity B.V.; ValidSoft; Sentinel; HyperVerge Inc.; DuckDuckGoose; McAfee Corp; deepfakedetector.ai; Attestiv Inc.; and Intel Corporation are among the key players profiled in the deepfake AI detection market report. Several other major players were studied and analyzed during the deepfake AI detection market analysis to get a holistic view of the market and its ecosystem. The deepfake AI detection market also provides detailed market insights, which help the key players strategize their growth. The report includes growth prospects owing to the current deepfake AI detection market trends and their foreseeable impact during the forecast period.

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