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$7.25+ Bn Healthcare Electronic Data Interchange Markets – Global Industry Size, Share, Trends, Opportunity, & Forecast 2018-2023 and 2024-2028

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DUBLIN, March 5, 2024 /PRNewswire/ — The “Healthcare Electronic Data Interchange Market – Global Industry Size, Share, Trends, Opportunity, & Forecast 2018-2028” report has been added to  ResearchAndMarkets.com’s offering.

The Global Healthcare Electronic Data Interchange Market was valued at USD 4.36 billion in 2022 and is anticipated to project impressive growth in the forecast period with a CAGR of 9.11% through 2028, reaching USD 7.28 billion

The increasing demand to control healthcare expenditures, along with advancements in electronic data interchange technology, is anticipated to drive market expansion. Furthermore, a rise in the number of users and the growing acceptance of EDI are projected to bolster market growth in the foreseeable future.

Healthcare EDI plays a pivotal role in automating various business processes, including the submission and processing of claims, insurance eligibility verification, and data reporting. According to the Maryland Healthcare Commission, electronic claim submissions are identified as the most prevalent electronic transaction within the healthcare sector.

The COVID-19 pandemic has accelerated the adoption of telehealth and remote patient monitoring solutions. EDI will play a vital role in enabling the seamless exchange of patient data, including virtual appointments, remote diagnostics, and the monitoring of vital signs. This trend will continue to reshape the healthcare landscape, offering more accessible and patient-centric care options.

Blockchain technology is gaining traction in healthcare for its ability to enhance data security and trust. The integration of blockchain into EDI systems will ensure the immutability and integrity of healthcare data, reducing the risk of data tampering and fraud. This technology will be instrumental in maintaining transparent and secure data exchange.

Claims processing is a complex and time-consuming task in healthcare. AI-driven automation will revolutionize this aspect by improving accuracy, reducing errors, and expediting claims adjudication. EDI systems integrated with AI-driven automation will help healthcare organizations optimize their financial operations.

Key Market Drivers

Cost Containment and Efficiency Enhancement

Healthcare industry facing rising costs and need for efficiency.Global Healthcare EDI market emerging as solution.EDI streamlines administrative processes, reduces manual work.Reduction in operational costs through automation.Minimization of errors, leading to cost containment.Real-time data exchange accelerates processing.Resource reallocation enhances patient care.Scalability of EDI solutions keeps costs in check.

Increasing Adoption of Electronic Health Records (EHRs)

EHR adoption improves patient care and boosts EDI market.Digitization streamlines data management.Elimination of redundant data entry enhances accuracy.Streamlined workflows improve care delivery.Data security extended throughout healthcare data lifecycle.Real-time access to patient information enhances care.Better communication and collaboration among stakeholders.Integration with EDI drives efficiency and transparency.

Expanding End-User Base

Diverse stakeholders recognize benefits of EDI.Smaller healthcare providers join EDI revolution.Pharmacies and laboratories streamline processes with EDI.Government agencies turn to EDI for data management.Patients engage more with healthcare through EDI.Third-party service providers make EDI accessible.Interconnected healthcare ecosystem drives market growth.

Data-Driven Decision-Making

Fusion of data-driven decision-making and EDI transforming healthcare.Empowerment of professionals with vast patient data.Optimization of resource allocation through insights.Tailored treatment plans enhance patient outcomes.Simplification of administrative and financial processes.Adaptation to industry developments with real-time insights.Compliance with regulations ensured through data accuracy.Culture of continuous improvement fostered by data-driven insights.

Key Market Challenges

Interoperability Issues

Challenge in achieving seamless interoperability.Effective communication between diverse platforms crucial.

Integration with Legacy Systems

Complexity and cost of integrating legacy systems with modern EDI solutions.

Costs and Return on Investment (ROI)

Implementation and maintenance costs of EDI systems.Ensuring positive ROI through cost savings and efficiency gains.

Segmental Insights

Component Insights

Services sector leads due to outsourcing of EDI services.Solutions sector poised for growth with demand for diverse EDI solutions.

Delivery Mode Insights

Web and cloud-based EDI dominate due to cost-effectiveness and scalability.Mobile EDI segment expected to grow rapidly with technological innovations.

Regional Insights

North America dominates market, driven by HCIT adoption and major players.Asia Pacific expected to experience fastest CAGR, driven by healthcare expenditure rise, policy reforms, and IT industry growth.

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Healthcare Electronic Data Interchange Market.

McKesson CorpNextGen Management LLCOptum IncSSI Group Inc/TheCleo IncOracle CorpEpicor Software CorpEffective Data IncDataTrans Solutions, Inc.

For more information about this report visit https://www.researchandmarkets.com/r/boezmr

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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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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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