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AI Deepfake Detector Tool Market Comprehensive Research Study,

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AI Deepfake Detector Tool Market

The AI Deepfake Detector Tool Market is estimated to be valued at USD 1.2 billion in 2024, and is projected to reach approximately USD 5.8 billion by 2033, growing at a CAGR of about 18.5% from 2026 to 2033.

AI Deepfake Detector Tool Market Overview

The AI Deepfake Detector Tool Market is experiencing rapid growth due to the rising threat of AI-generated fake content in media, politics, finance, and cybersecurity. Deepfakes have become increasingly realistic, prompting governments, enterprises, and social media platforms to invest in robust detection tools. These tools leverage advanced AI models, computer vision, and forensic techniques to identify manipulated images, videos, and audio. The increasing use of generative AI and synthetic media across industries further amplifies the need for reliable detection solutions. Regulatory efforts to combat misinformation and digital fraud are also driving adoption. As awareness and technological capabilities grow, the market is poised for strong expansion over the next decade.

Request a sample copy of this report at: https://www.omrglobal.com/request-sample/ai-deepfake-detector-tool-market

Advantages of requesting a Sample Copy of the Report:

1) To understand how our report can bring a difference to your business strategy

2) To understand the analysis and growth rate in your region

3) Graphical introduction of global as well as the regional analysis

4) Know the top key players in the market with their revenue analysis

5) SWOT analysis, PEST analysis, and Porter’s five force analysis

The report further explores the key business players along with their in-depth profiling

Presto Engineering Inc., TÜV SÜD, Rood Microtec GmbH, Eurofins EAG Laboratories, Eurofins Maser BV, Thermo Fisher Scientific Inc., Hitachi High-Technologies Corporation, Carl Zeiss AG, JEOL Ltd., and Bruker Corporation.

AI Deepfake Detector Tool Market Segments:

By Component

• Software

• Services

By Deployment Mode

• Cloud-based

• On-premise

By Application

• Media & Entertainment

• Banking, Financial Services & Insurance (BFSI)

• Government & Defense

• Telecom & IT

• Others

By End-user

• Enterprises

• Individual Users

• Government Organizations

Report Drivers & Trends Analysis:

The report also discusses the factors driving and restraining market growth, as well as their specific impact on demand over the forecast period. Also highlighted in this report are growth factors, developments, trends, challenges, limitations, and growth opportunities. This section highlights emerging AI Deepfake Detector Tool Market trends and changing dynamics. Furthermore, the study provides a forward-looking perspective on various factors that are expected to boost the market’s overall growth.

Competitive Landscape Analysis:

In any market research analysis, the main field is competition. This section of the report provides a competitive scenario and portfolio of the AI Deepfake Detector Tool Market’s key players. Major and emerging market players are closely examined in terms of market share, gross margin, product portfolio, production, revenue, sales growth, and other significant factors. Furthermore, this information will assist players in studying critical strategies employed by market leaders in order to plan counterstrategies to gain a competitive advantage in the market.

Regional Outlook:

The following section of the report offers valuable insights into different regions and the key players operating within each of them. To assess the growth of a specific region or country, economic, social, environmental, technological, and political factors have been carefully considered. The section also provides readers with revenue and sales data for each region and country, gathered through comprehensive research. This information is intended to assist readers in determining the potential value of an investment in a particular region.

» North America (U.S., Canada, Mexico)

» Europe (Germany, U.K., France, Italy, Russia, Spain, Rest of Europe)

» Asia-Pacific (China, India, Japan, Singapore, Australia, New Zealand, Rest of APAC)

» South America (Brazil, Argentina, Rest of SA)

» Middle East & Africa (Turkey, Saudi Arabia, Iran, UAE, Africa, Rest of MEA)

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Key Benefits for Stakeholders:

⏩ The study represents a quantitative analysis of the present AI Deepfake Detector Tool Market trends, estimations, and dynamics of the market size from 2025 to 2032 to determine the most promising opportunities.

⏩ Porter’s five forces study emphasizes the importance of buyers and suppliers in assisting stakeholders to make profitable business decisions and expand their supplier-buyer network.

⏩ In-depth analysis, as well as the market size and segmentation, help you identify current AI Deepfake Detector Tool Market opportunities.

⏩ The largest countries in each region are mapped according to their revenue contribution to the market.

⏩ The AI Deepfake Detector Tool Market research report gives a thorough analysis of the current status of the AI Deepfake Detector Tool Market’s major players.

Key questions answered in the report:

➧ What will the market development pace of the AI Deepfake Detector Tool Market?

➧ What are the key factors driving the AI Deepfake Detector Tool Market?

➧ Who are the key manufacturers in the market space?

➧ What are the market openings, market hazards,s and market outline of the AI Deepfake Detector Tool Market?

➧ What are the sales, revenue, and price analysis of the top manufacturers of the AI Deepfake Detector Tool Market?

➧ Who are the distributors, traders, and dealers of AI Deepfake Detector Tool Market?

➧ What are the market opportunities and threats faced by the vendors in the AI Deepfake Detector Tool Market?

➧ What are deals, income, and value examination by types and utilizations of the AI Deepfake Detector Tool Market?

➧ What are deals, income, and value examination by areas of enterprises in the AI Deepfake Detector Tool Market?

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Reasons To Buy The AI Deepfake Detector Tool Market Report:

➼ In-depth analysis of the market on the global and regional levels.

➼ Major changes in market dynamics and competitive landscape.

➼ Segmentation on the basis of type, application, geography, and others.

➼ Historical and future market research in terms of size, share growth, volume, and sales.

➼ Major changes and assessment in market dynamics and developments.

➼ Emerging key segments and regions

➼ Key business strategies by major market players and their key methods

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Email: anurag@omrglobal.com

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About Orion Market Research

Orion Market Research (OMR) is a market research and consulting company known for its crisp and concise reports. The company is equipped with an experienced team of analysts and consultants. OMR offers quality syndicated research reports, customized research reports, consulting and other research-based services. The company also offers Digital Marketing services through its subsidiary OMR Digital and Software development and Consulting Services through another subsidiary Encanto Technologies.

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Josh Bersin Company Research Reveals How Talent Acquisition Is Being Revolutionized by AI

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  • Jobs aren’t disappearing. Through AI, talent acquisition is fast evolving from hand-crafted interviewing and recruiting to a data-driven model that ensures the right talent is hired at the right time, for the right role with unmatched accuracy

  • Traditional recruiting isn’t working: in 2024, only 17% of applicants received interviews and 60% abandoned slow application processes

  • AI drives 2–3x faster hiring, stronger candidate quality, sharper targeting—and 95% candidate satisfaction at Foundever, from 200,000+ applicants in just six months

OAKLAND, Calif., Sept. 16, 2025 /PRNewswire/ — The Josh Bersin Company, the world’s most trusted HR advisory firm, today released new research showing that jobs aren’t disappearing—they’re being matched with greater intelligence. The research, produced in collaboration with AMS, reveals major advances in talent acquisition (TA) driven by AI-enabled technology, which are yielding 2–3x faster time to hire, stronger candidate-role matches, and unprecedented precision in sourcing.

The Josh Bersin Company (PRNewsfoto/The Josh Bersin Company)

The global market for recruiting, hiring, and staffing is over $850 billion and is growing at 13% per year, despite the economic slowdown, though signs of strain are evident. This means TA leaders are turning to AI to adapt, as AI transforms jobs, creates the need for new roles, new skills, and AI expertise.

According to the research and advisory firm, even without AI disruption, over 20% of employees consider changing jobs each year, driving demand for a new wave of high-precision, AI-powered tools for assessment, interviewing, selection, and hiring. Companies joining this AI revolution are hiring 200-300% faster, with greater accuracy and efficiency than their peers, despite the job market slowdown.

According to the report, The Talent Acquisition Revolution: How AI is Transforming Recruiting, the TA automation revolution is delivering benefits across the hiring ecosystem: job seekers experience faster recognition and better fit, while employers gain accurate, real-time, and highly scalable recruitment.

This is against a context of failure with current hiring. In 2024, less than one in four (17%) of applicants made it to the interview stage, and 60% of job seekers, due to too-slow hiring portals, abandoned the whole application process.

The research shows how organizations are already realizing benefits such as lower hiring costs, stronger internal mobility, and higher productivity. AI-empowered TA teams are also streamlining operations by shifting large portions of manual, admin-heavy work to specialized vendors.

Early successes are striking: after deploying conversational AI, a major U.S. resort operator increased scheduled interviews by 423% in 12 months while reducing candidate drop-off by 85%. A new AI TA process at Foundever hit 95% candidate satisfaction rating from over 200,000 applicants in just six months, while a leading global automotive company reported $2 million in savings in its first year using AI-powered interview scheduling.

The research highlights how AI is helping TA overcome frustrations like vague job descriptions, inconsistent interviews, and labor-intensive processes.

HR teams now use AI to automate tasks from profiling and sourcing to screening, scheduling, interviewing, and negotiating offers. Companies showcasing these successes include major international brands spanning the hospitality, food, healthcare, and technology sectors, such as Fontainebleau Las Vegas and Compass Group.

Some organizations are using AI-powered recruiting assistants to manage routine communication and negotiations. Recruiters set parameters for salary, benefits, and start dates, while the AI answers questions, updates offers, and proposes alternatives in real time. By automating tasks and personalizing the experience, AI shortens turnaround times and frees recruiters to focus on strategy.

The vendor market is transforming, with SAP acquiring SmartRecruiters and Workday acquiring Paradox to stay competitive. Innovations include AI agents enabling automation of the full hiring journey (Eightfold AI, Maki People) conversational AI for candidate engagement (Glider AI, Paradox, Radancy), AI-driven assessments (CodeSignal, HireVue, TaTiO), and platforms that benchmark roles against labor market data (Draup, Galileo, Lightcast, Reejig, SeekOut, TechWolf).

Report author and Josh Bersin Company Industry Analyst & Senior Research Director, Stella Ioannidou, says:

“For decades, TA has been viewed as a cost center, focused on using applicant tracking systems to manage incoming candidates and relying on recruiters to screen and interview. This process was slow, expensive, and delivered a poor experience for job seekers.

“Today, by leveraging AI-powered platforms and integrated data, TA teams can identify, attract, and engage the best talent in the market with unparalleled precision, often before competitors even know those candidates are available—resulting in a proactive, data-driven approach that enables organizations to respond quickly to changing business needs, seize new opportunities, and fuel growth from within.”

Chief Executive Officer at AMS, Gordon Stuart, says:

“This research paper captures the urgency and scale of the AI revolution which is transforming TA. It doesn’t just reflect what’s happening now, it helps us understand what’s next. Candidates want speed, clarity, and connection. Recruiters need tools that free them to focus on strategy and relationships. And businesses must rethink how talent acquisition fits into their broader growth agenda. AI is not just automating tasks, it’s redefining roles, workflows, and expectations across the board. The cumulative power of people, process, data and technology is heralding a new era for talent acquisition.”

Global industry analyst and Josh Bersin Company CEO, Josh Bersin, says:

“AI is expected to provide CHROs with a data-rich view of talent comparable to an integrated supply chain, enabling them to track and analyze every detail of each hire with the same precision a luxury Swiss watchmaker applies to every component and its origin.

“This transition transforms HR from handcrafted processes to precision, dynamic hiring—something once unattainable without AI.

“The implications are significant for all stakeholders, particularly CEOs. Organizations that lacked a precision hiring process have historically faced millions in lost revenue, high turnover, and misaligned talent—but those days are now coming to an end.”

This new research follows previous Josh Bersin Company findings demonstrating how AI is transforming another core HR function: Learning & Development.

The Josh Bersin Company’s Galileo Suite delivers both strategic guidance and hands-on tools through its AI Agent for HR, as well as hyper-personalized learning through the exclusive Galileo Learn certificate course, AI-First TA Transformation. The full report is available to download here.

About AMS
AMS is a leading global provider of talent acquisition and consulting services, providing unrivalled experience, driven by technology and underpinned by innovation. We help our clients to attract, engage and retain the talent they need for business success.

We have three core areas of service: acquisition, advisory and digital, mainly delivered as an outsourced model, and spanning our clients’ permanent and contingent workforce, and internal mobility requirements.

Our dedicated teams of experts are deeply embedded with our global blue-chip clients, enhancing talent acquisition processes and driving projects which align with overall strategic objectives. This relationship-driven approach is supporting our clients to redefine how they hire and retain top talent. For more, go to www.weareams.com/

About The Josh Bersin Company

The most trusted human capital advisors in the world. More than a million HR and business leaders rely on us to help them overcome their greatest people challenges.

Thanks to our understanding of workplace issues, informed by the largest and most up-to-date data sets on workers and employees, we give leaders the confidence to make decisions in line with the latest thinking and evidence about work and the workplace. We’re great listeners, too. There’s no one like us, who understands this area so comprehensively and without bias.

Our offerings include the industry’s leading AI-powered HR expert assistant, Galileo®, fueled by 25 years of in-depth Josh Bersin Company research, case studies, benchmarks, and market information.

We help CHROs and CEOs be better at delivering their business goals. We do that by helping you to manage people better. We are enablers at our core. We provide strategic advice and counsel supported by in-depth research, thought leadership, and unrivaled professional development, community, and networking opportunities.

We empower our clients to run their businesses better. And we empower the market by identifying results-driven practices that make work better for every person on the planet.

Cision
Cision

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How AI-trained robots are helping to root out fake paintings tied to a notorious forgery case – The Art Newspaper

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Artificial intelligence (AI) is often criticised for ripping off artists, but the technology is now being used to combat fake copies of works by the Canadian artist Norval Morrisseau (1932-2007) that have flooded the market over the past two decades.

More than 6,000 pieces were produced and fraudulently sold as authentic works by the Ojibwe artist to collectors worldwide, with financial losses estimated to exceed C$100m ($72.5m). The trial of Jeffrey Cowan, the last of the suspected fraudsters in the tangled web of Morrisseau forgery rings, began this week. Two other men who pleaded guilty to participating in what the Ontario Provincial Police described as “the biggest art fraud in world history”, were each given a conditional sentence of two years less a day in August and September.

In a unique case of fighting fakes with fakes, the Montreal-based start-up Acrylic Robotics announced in July that, in partnership with the Norval Morrisseau Estate, its robots will reproduce five Morrisseau paintings and make the copies available for purchase.

Norval AI

“We have created our own artificial intelligence called Norval AI to help determine the probability of an authentic Norval Morrisseau painting,” Cory Dingle, the Morrisseau estate’s executive director, tells The Art Newspaper. “It has grown to do many other functions that will help with museums seeking provenance as well as law enforcement—such as catching the person who painted the fraudulent work.”

The idea of developing an AI authenticator began in 2023, when Dingle met Stephan Heblich, an economics professor at the University of Toronto, and Clément Gorin, an associate professor at the Université Paris 1 Panthéon-Sorbonne.

“Clément and I were just two art-loving economics professors who are using the latest deep learning and visual recognition techniques to analyse paintings,” Heblich says. “We thought we could help restore Norval’s legacy, so we reached out to Cory and created Norval AI.”

A year later, Dingle met Chloë Ryan, the founder and chief executive of Acrylic Robotics. The artist-turned-engineer had developed technology that allows robots to paint works in the style of individual artists.

Better fakes

“We needed better replicas to test our artificial intelligence programme—the existing fake paintings were so terrible,” Dingle says. “So we collaborated with Acrylic Robotics and helped train their robot to paint more realistic fake paintings.” He adds: “They want to produce very accurate reproductions and our Norval AI tells their robot where it is doing a bad job. They use our data to make the robot do a better job, which makes those better replicas train our Norval AI even better.”

Last year, the Norval Morrisseau Family Foundation helped Acrylic Robotics produce a very accurate replica of one of Morrisseau’s original paintings. This in turn was run through the Norval AI programme and the results were shared with Acrylic Robotics to help improve its replicas.

The resulting works produced by Acrylic Robotics include limited editions of five paintings, including Morrisseau’s In Honour of Native Motherhood (1990), which was inspired by the murdered and missing Indigenous women in Canada, and Punk Rockers (around 1991), in which Morrisseau fused traditional Anishinaabe iconography with contemporary idioms.

Marked as replicas

Prices for the Acrylic Robotics works range from C$3,240 to C$45,000. To avoid further fraud, several techniques have been applied to ensure the works are easily identifiable as replicas, including a mark on the back of the canvas.

According to an Acrylic Robotics spokesperson, the company hopes to investigate whether, with the support of Norval AI, its robots may be able to complete some of Morrisseau’s many unfinished or damaged works.

“What’s exciting here, even beyond the technology,” Ryan says, “is the opportunity to push the boundaries of what has been possible, make art history and reclaim a legacy.”



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Proactive, Autonomous, Seamless Customer Support

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SAP Business AI can boost productivity with technology that aligns with the AI strategies of our customers—ranging from building effective agents to managing intelligent systems.

Among the many announcements at SAP Sapphire in 2025, the company unveiled new innovations, partnerships, and integrations that can deliver real-time, proactive assistance. For example, SAP’s AI copilot Joule is now available to users across SAP and non-SAP systems. SAP also expanded its agentic AI footprint across SAP Business Suite by introducing Joule Agents for multiple use cases and an evolving AI Foundation as the AI operating system designed to simplify development, enabling developers to build, deploy, and scale solutions with ease.

Discover how the newest AI agents can help your whole business run faster

The impact of AI on the delivery of customer support at SAP

As announced in Q2 this year, SAP’s simplified, tiered, services-and-support engagement model will be generally available in early 2026. Here, SAP’s customer support is a centerpiece of the Foundational Success Plan, delivered via the proven SAP Enterprise Support offering included in every SAP cloud solution subscription. The Foundational Success Plan can support in-house teams by helping to onboard and run solutions, keep business continuity, and drive ongoing value. It includes customer self-service options, application lifecycle management solutions centered around SAP Cloud ALM, and preventative mission-critical support. With the plan, SAP turns on Joule for a customer’s business and supports the team ramp-up with learning journeys for SAP Business AI.

When it comes to customer support in general, agentic AI can redefine the support process by moving beyond scripted responses and basic automation. It can assess situations, make decisions, and take action—often before the customer even knows there’s an issue. SAP’s customer support harnesses agentic AI to help deliver smarter assistance, faster resolutions, and a stronger human–tech partnership.

We focus on elevating support experiences for customers and improving support delivery for engineers by employing a combination of agents and assistants. For example, we use autoresponders and smart log analyzers to help process issues, while configuration advisors, language services, and proactive notifiers can guide customers toward self-service solutions. At the same time, our support engineers rely on co-pilots to help summarize cases, recommend solutions, escalate using intelligence, assist with communications, and create a continuous feedback loop for learning. For strategic customer support, we use tools like feedback collectors to help capture customer insights and channel recommenders to help ensure that every interaction is handled in the right channel. Together, these innovations can redefine support as faster, smarter, and more human.

The impact for customers

When it comes to SAP Business AI, we build trust and create customer confidence by being relevant, reliable, and responsible. Unlike traditional AI that only suggests answers, agentic AI can reason, decide, and take action. For customers to feel confident, they expect accuracy, reliability, and transparency from the system.

As we support and guide our customers, we recognize that while agentic AI is a game-changer, it is not a magic pill. Coupled with ethical and responsible AI, real impact comes from SAP’s business expertise and a deep understanding of what our customers truly need. When knowledge is combined with AI to infuse autonomy and interoperability in our agents, we can unlock the ability to simplify processes, remove friction, and deliver experiences that feel effortless.

AI technology amplifies human insight and delivers delightful user experiences, but when it comes to business AI, it is our domain expertise that fuels SAP Business AI into a tool for creating genuinely easy, productive, and meaningful experiences for our customers.


Stefan Steinle is executive vice president and head of Customer Support & Cloud Lifecycle Management at SAP.

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