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Deepfake AI Detection Market Skyrockets to $3,463.82 Million by 2031 Dominated by Tech Giants – Sightengine, Clarity, FaceOnLive and Buster.Ai | The Insight Partners

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The global deepfake AI detection market is set for explosive growth, with projections indicating a surge to $3,463.82 Million by 2031. This remarkable expansion, driven by rise in deepfake frauds and scams, increased use of AI in media & entertainment, and stringent government regulations.

NEW YORK, Dec. 10, 2024 /PRNewswire/ — According to a new comprehensive report from The Insight Partners, “Deepfake AI Detection Market Size and Forecast (2021 – 2031), Global and Regional Share, Trend, and Growth Opportunity Analysis Report Coverage: By Component, Deployment, Enterprise Size, Industry Vertical, and Geography”, the global Deepfake AI detection market is observing significant growth owing to the emergence of real-time deepfake AI detection solutions and deepfake AI detection with user behavioral elements.

For More Information and To Stay Updated on The Latest Developments in The Deepfake AI Detection Market, Download The Sample Pages: https://www.theinsightpartners.com/sample/TIPRE00039356/

The report runs an in-depth analysis of market trends, key players, and future opportunities. In general, the deepfake AI detection market comprises a vast array of component, deployment, enterprise size, and vertical and geography which are expected to register strength during the coming years.

Market Overview and Growth Trajectory:

Deepfake AI Detection Market Growth: According to an exhaustive report by The Insight Partners, the Deepfake AI Detection Market is experiencing significant growth, driven by advancement in technologies. The market, valued at $213.24 Million in 2023, is expected to grow at a Compound Annual Growth Rate (CAGR) of 41.7% during 2023–2031.

For Detailed Market Insights, Visit: https://www.theinsightpartners.com/reports/deepfake-ai-detection-market

Technological Innovations: As deepfake content spreads across social media platforms and other online channels, there will be greater emphasis on real-time detection and prevention. AI-powered tools that can quickly identify and remove deepfakes as they are uploaded will be critical to combating the rapid spread of misinformation. The emergence of real-time deepfake AI detection solutions and investments toward the development of advanced real-time deepfake detection are expected to be the key future trends in the deepfake AI detection market. This could enhance the efficiency of information security in fields such as social media, journalism, and national security. AI automates the process of deepfake detection and continually improves it. Once trained, AI systems can quickly analyze new videos or images, enabling real-time deepfake detection.

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.

Increased Use of AI in Media and Entertainment: Artificial intelligence plays a key role in increasing user engagement on over-the-top (OTT) platforms by providing advertisers with real-time insights into campaign performance. As AI continues to improve, it is expected to provide increasingly personalized experiences to audiences while collecting valuable behavioral data. AI has become a formidable force in game development, film production, and advertising, generating innovative processes across industries. AI has become a catalyst in the media and entertainment sector, triggering strategic investments and anchoring a determined pursuit of meeting ever-growing audience demands. As per the eftsure statistics on deepfake incidents, in 2023, 60% of American people raised concerns related to deepfake, which is more than other AI tasks.

Stay Updated on The Latest Deepfake AI Detection Market Trends: https://www.theinsightpartners.com/sample/TIPRE00039356/

Geographical Insights: In 2023, North America led the market with a substantial revenue share, followed by Europe and APAC. Asia Pacific is anticipated to record the highest CAGR in the market during the forecast period.

Deepfake AI Detection Market Segmentation, Applications, Geographical Insights:

•         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.

•         The deepfake AI detection market is segmented into five major regions: North America, Europe, APAC, Middle East and Africa, and South and Central America.

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Key Players and Competitive Landscape:

The Deepfake AI Detection Market is characterized by the presence of several major players, including:

•         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.

•         Intel Corporation

These companies are adopting strategies such as new product launches, joint ventures, and geographical expansion to maintain their competitive edge in the market.

For Region-Specific Market Data, Check Out Brief Sample Pages: https://www.theinsightpartners.com/sample/TIPRE00039356/

Deepfake AI Detection Market Recent Developments and Innovations:

•         “Microsoft and OpenAI have announced a US$ 2.0 million funding to combat the growing risks of AI and deepfakes being used to deceive voters and undermine democracy.”

•         “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.”

Conclusion:

The key factors fueling the growth of the deepfake AI detection market include the rise in number of deepfake frauds and scams, increased use of AI in the media and entertainment industry, and stringent government regulations; however, challenges associated with deepfake AI detection hindering the growth of the deepfake AI detection market. Technological advancements in deepfake detection technologies are projected to create opportunities for players operating in the deepfake AI detection market during the forecast period. Further, the emergence of real-time deepfake AI detection solutions and deepfake AI detection with user behavioral elements are expected to be the key future trends in the deepfake AI detection market from 2023 to 2031.

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With projected growth to $3,463.82 Million by 2031, the Deepfake AI Detection Market represents a significant opportunity for software providers, solution providers, system integrators, investors, industry stakeholders, end-users, and others. By staying abreast of market trends, embracing innovation, and focusing on quality and performance, companies can position themselves for success in this dynamic and evolving market landscape.

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About Us:

The Insight Partners is a one stop industry research provider of actionable intelligence. We help our clients in getting solutions to their research requirements through our syndicated and consulting research services. We specialize in industries such as Semiconductor and Electronics, Aerospace and Defense, Automotive and Transportation, Biotechnology, Healthcare IT, Manufacturing and Construction, Medical Device, Technology, Media and Telecommunications, Chemicals and Materials.

Contact Us:

If you have any queries about this report or if you would like further information, please contact us:

Contact Person: Ankit Mathur

E-mail: ankit.mathur@theinsightpartners.com 

Phone: +1-646-491-9876

Press Release: https://www.theinsightpartners.com/pr/deepfake-ai-detection-market

 

 

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Chef Robotics Physical AI Models Can Now Automate Baked Goods Packing

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SAN FRANCISCO, April 29, 2026 /PRNewswire/ — Chef Robotics, a leader in physical AI for the food industry, today announced that Chef robots can now automate tray assembly for baked goods packing. The application places baked products, such as burger buns, chocolate chip cookies, biscotti, butter cookies, biscuits, fortune cookies, granola bars, rusks, and shortbreads into trays and packaging containers before sealing.

Watch Chef robots in action.

Baked goods packing has historically been difficult to automate for high-mix production. Each item behaves differently on the production line—a granola bar compresses under the wrong grip, while a biscotti or rusk can crack if placed at the wrong angle. Surface textures range from glazed and smooth to crumbly and irregular, and strict presentation requirements leave little room for error. This variability has made it challenging for automation systems to reliably handle baked goods at production speeds, leaving food manufacturers dependent on manual labor and traditional bakery equipment.

To address this, Chef built its baked goods packing application on its existing piece-picking capability, which uses Chef’s AI-powered computer vision and physical AI models trained across diverse real-world production environments. This allows Chef robots to assess each item’s position, shape, and orientation in real time and determine how to pick the items from the pan and place them quickly and precisely without damaging them.

The baked goods packing application supports four distinct placement capabilities.

First, Chef’s vision system detects the angle at which each item sits in the pan and reorients it after picking, placing it on the tray at the exact angle required, regardless of its original position, enabling retail-ready presentation for SKUs that require precise angular placement.

Second, Chef robots can place multiple baked goods into the same packaging container in a single automated pass, completing full tray assembly without manual intervention.

Third, for packaging containers with multiple small compartments, Chef robots can precisely place items into each designated section, including multiple items in the same compartment, using Chef’s AI vision model to detect compartment positions and orientations in real time.

Fourth, Chef’s vision system identifies the exact center of each tray and places every item at a predefined offset from that center, ensuring a uniform, consistent arrangement across every pack regardless of how trays arrive on the conveyor.

For food manufacturers evaluating bakery systems and baked goods packaging automation, the application offers higher throughput, reduced labor dependency, and consistent presentation across shifts. The capability runs on Chef’s existing robotic hardware and software, allowing manufacturers to deploy it without requiring any changes to their production lines.

Chef’s baked goods packing application is available in the U.S., Canada, Germany, and the UK and is included as part of Chef’s robotics-as-a-service (RaaS) pricing model.

About Chef Robotics
Chef is the first company to have commercialized a scalable AI-driven food robotics solution. With over 104 million servings made in production, Chef leverages ChefOS, an AI platform for food manipulation, to offer a Robotics-as-a-Service solution that helps industry-leading food companies increase production volume and meet demand. Headquartered in San Francisco, CA, Chef aims to empower humans to do what humans do best by accelerating the advent of intelligent machines. Visit https://chefrobotics.ai to learn more.

View original content:https://www.prnewswire.com/news-releases/chef-robotics-physical-ai-models-can-now-automate-baked-goods-packing-302756923.html

SOURCE Chef Robotics

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Chef Robotics Physical AI Models Can Now Automate Baked Goods Packing

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on

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SAN FRANCISCO, April 29, 2026 /PRNewswire/ — Chef Robotics, a leader in physical AI for the food industry, today announced that Chef robots can now automate tray assembly for baked goods packing. The application places baked products, such as burger buns, chocolate chip cookies, biscotti, butter cookies, biscuits, fortune cookies, granola bars, rusks, and shortbreads into trays and packaging containers before sealing.

Watch Chef robots in action.

Baked goods packing has historically been difficult to automate for high-mix production. Each item behaves differently on the production line—a granola bar compresses under the wrong grip, while a biscotti or rusk can crack if placed at the wrong angle. Surface textures range from glazed and smooth to crumbly and irregular, and strict presentation requirements leave little room for error. This variability has made it challenging for automation systems to reliably handle baked goods at production speeds, leaving food manufacturers dependent on manual labor and traditional bakery equipment.

To address this, Chef built its baked goods packing application on its existing piece-picking capability, which uses Chef’s AI-powered computer vision and physical AI models trained across diverse real-world production environments. This allows Chef robots to assess each item’s position, shape, and orientation in real time and determine how to pick the items from the pan and place them quickly and precisely without damaging them.

The baked goods packing application supports four distinct placement capabilities.

First, Chef’s vision system detects the angle at which each item sits in the pan and reorients it after picking, placing it on the tray at the exact angle required, regardless of its original position, enabling retail-ready presentation for SKUs that require precise angular placement.

Second, Chef robots can place multiple baked goods into the same packaging container in a single automated pass, completing full tray assembly without manual intervention.

Third, for packaging containers with multiple small compartments, Chef robots can precisely place items into each designated section, including multiple items in the same compartment, using Chef’s AI vision model to detect compartment positions and orientations in real time.

Fourth, Chef’s vision system identifies the exact center of each tray and places every item at a predefined offset from that center, ensuring a uniform, consistent arrangement across every pack regardless of how trays arrive on the conveyor.

For food manufacturers evaluating bakery systems and baked goods packaging automation, the application offers higher throughput, reduced labor dependency, and consistent presentation across shifts. The capability runs on Chef’s existing robotic hardware and software, allowing manufacturers to deploy it without requiring any changes to their production lines.

Chef’s baked goods packing application is available in the U.S., Canada, Germany, and the UK and is included as part of Chef’s robotics-as-a-service (RaaS) pricing model.

About Chef Robotics
Chef is the first company to have commercialized a scalable AI-driven food robotics solution. With over 104 million servings made in production, Chef leverages ChefOS, an AI platform for food manipulation, to offer a Robotics-as-a-Service solution that helps industry-leading food companies increase production volume and meet demand. Headquartered in San Francisco, CA, Chef aims to empower humans to do what humans do best by accelerating the advent of intelligent machines. Visit https://chefrobotics.ai to learn more.

View original content:https://www.prnewswire.com/news-releases/chef-robotics-physical-ai-models-can-now-automate-baked-goods-packing-302756923.html

SOURCE Chef Robotics

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Air Products to Expand Industrial Gas Supply for Samsung Electronics’ Next-Generation Semiconductor Fab in South Korea

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New investment underscores the company’s long-term commitment to Korea and its leading role in the global semiconductor industry 

LEHIGH VALLEY, Pa., April 29, 2026 /PRNewswire/ — Air Products (NYSE:APD), a world-leading industrial gases company and serving Samsung globally, today announced it has been selected by Samsung to supply industrial gases for its new advanced semiconductor fab in Pyeongtaek, Gyeonggi Province, South Korea.

Under the agreement, Air Products will build, own and operate multiple state-of-the-art production facilities and a bulk specialty gas supply system to supply nitrogen, oxygen, argon, and hydrogen for Samsung’s new semiconductor fab. The new facilities are expected to come onstream in multiple phases from 2028 through 2030.

Air Products has a long track record of executing multiple phase expansions in Pyeongtaek to support Samsung’s growing manufacturing needs. This latest project represents Air Products’ largest investment to date in the semiconductor industry and will establish Pyeongtaek as the company’s single largest operations site globally supporting the electronics industry. 

“Air Products is honored to be selected once again by Samsung and to have their continued confidence as a trusted partner supporting their strategic growth plans,” said SR Kim, President, Air Products Korea. “This significant investment reinforces Air Products’ role as a leading global supplier to the semiconductor industry and underscores our long-standing commitment to supporting our strategic customers with safety, reliability, efficiency and excellent service.”

Air Products has served the global electronics industry for more than 40 years, supplying industrial gases safely and reliably to many of the world’s leading technology companies. The company has operated in Korea for more than 50 years and has established a strong position in electronics and manufacturing sectors.

About Air Products

Air Products (NYSE: APD) is a world-leading industrial gases company in operation for over 85 years focused on serving energy, environmental, and emerging markets and generating a cleaner future. The Company supplies essential industrial gases, related equipment and applications expertise to customers in dozens of industries, including refining, chemicals, metals, electronics, manufacturing, medical and food. As the leading global supplier of hydrogen, Air Products also develops, engineers, builds, owns and operates some of the world’s largest clean hydrogen projects, supporting the transition to low- and zero-carbon energy in the industrial and heavy-duty transportation sectors. Through its sale of equipment businesses, the Company also provides turbomachinery, membrane systems and cryogenic containers globally.

Air Products had fiscal 2025 sales of $12 billion from operations in approximately 50 countries. For more information, visit airproducts.com or follow us on LinkedInXFacebook or Instagram.

This release contains “forward-looking statements” within the safe harbor provisions of the Private Securities Litigation Reform Act of 1995. These forward-looking statements are based on management’s expectations and assumptions as of the date of this release and are not guarantees of future performance. While forward-looking statements are made in good faith and based on assumptions, expectations and projections that management believes are reasonable based on currently available information, actual performance and financial results may differ materially from projections and estimates expressed in the forward-looking statements because of many factors, including the risk factors described in our Annual Report on Form 10-K for the fiscal year ended September 30, 2025 and other factors disclosed in our filings with the Securities and Exchange Commission. Except as required by law, we disclaim any obligation or undertaking to update or revise any forward-looking statements contained herein to reflect any change in the assumptions, beliefs or expectations or any change in events, conditions or circumstances upon which any such forward-looking statements are based.

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SOURCE Air Products

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