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Smart Railway Systems Market to Grow by USD 29.23 Billion from 2025-2029, Driven by Efficiency & Environmental Focus, with AI Redefining the Market Landscape – Technavio

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NEW YORK, Feb. 7, 2025 /PRNewswire/ — Report with market evolution powered by AI – The global smart railway systems market  size is estimated to grow by USD 29.23 billion from 2025-2029, according to Technavio. The market is estimated to grow at a CAGR of almost 14%  during the forecast period. Expansion of railways to address efficiency and environmental concerns is driving market growth, with a trend towards adoption of iot and big data driving efficiency. However, investments in initial infrastructure  poses a challenge. Key market players include ABB Ltd., ALSTOM SA, Atos SE, Bosch Engineering GmbH, Capgemini Services SAS, Cisco Systems Inc., Digi International Inc., General Electric Co., Hitachi Ltd., Huawei Technologies Co. Ltd., Indra Sistemas SA, International Business Machines Corp., Mitsubishi Electric Corp., Nokia Corp., Schneider Electric SE, Siemens AG, Teleste Corp., Thales Group, Trimble Inc., and ZTE Corp..

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Forecast period

2025-2029

Base Year

2024

Historic Data

2019 – 2023

Segment Covered

Product (Solutions, Components, and Services), Type (Passenger information system, Rail and freight OMS, Smart ticketing system, Rail analytics system, and Others), and Geography (Europe, North America, APAC, Middle East and Africa, and South America)

Region Covered

Europe, North America, APAC, Middle East and Africa, and South America

Key companies profiled

ABB Ltd., ALSTOM SA, Atos SE, Bosch Engineering GmbH, Capgemini Services SAS, Cisco Systems Inc., Digi International Inc., General Electric Co., Hitachi Ltd., Huawei Technologies Co. Ltd., Indra Sistemas SA, International Business Machines Corp., Mitsubishi Electric Corp., Nokia Corp., Schneider Electric SE, Siemens AG, Teleste Corp., Thales Group, Trimble Inc., and ZTE Corp.

Key Market Trends Fueling Growth

Smart Railway Systems Market: The integration of IoT and big data in railway operations is revolutionizing the industry. Onboard control systems and sensors generate valuable data, which can improve efficiency, reduce downtime, and enhance safety. IoT and big data enable real-time monitoring, predictive maintenance, and energy savings. Cost savings have been reported, with Trenitalia achieving an 8%-10% reduction in maintenance costs. The future of railways lies in leveraging data to optimize operations and enhance passenger experience. 

The Smart Railway Systems market is experiencing significant growth, driven by advancements in technology. Real-time monitoring and ticketing systems are becoming increasingly common. These systems enable passengers to check train schedules, purchase tickets, and receive real-time updates on their devices. Additionally, safety features such as automatic train protection and collision avoidance systems are being implemented to enhance passenger safety. Schdule-based train control and traffic management systems are also being adopted to improve efficiency and reduce delays. The use of biometric technology for passenger identification and security is also on the rise. Overall, the Smart Railway Systems market is transforming the railway industry with its innovative solutions. 

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Market Challenges

•         The adoption of smart railway systems faces challenges due to the substantial initial investment needed for infrastructure development. This is attributed to the use of advanced technologies and the long payback period for such projects. Government-funded railway projects, particularly those with significant investments, undergo rigorous evaluation. Smaller carriers have found it costly to implement Positive Train Control (PTC) due to high installation and maintenance costs. Technical errors or integration issues can lead to severe consequences, including loss of life and replacement costs, as well as downtime and revenue declines. These factors are expected to hinder the growth of the global smart railway systems market.

•         The Smart Railway Systems Market faces several challenges in implementation and operation. One major challenge is the integration of various technologies such as sensors, communication systems, and software applications. Another challenge is ensuring the reliability and interoperability of these systems in harsh railway environments. Additionally, the high cost of implementation and maintenance is a significant barrier for many railways. Furthermore, the need for standardization and regulation to ensure safety and security is a pressing issue. Lastly, the lack of skilled personnel to design, install, and maintain these systems is a significant challenge for the market. Addressing these challenges will require collaboration between industry players, governments, and academia to develop cost-effective, reliable, and interoperable solutions.

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Segment Overview 

This smart railway systems market report extensively covers market segmentation by

ProductSolutionsComponentsServicesTypePassenger Information SystemRail And Freight OMSSmart Ticketing SystemRail Analytics SystemOthersGeographyEuropeNorth AmericaAPACMiddle East And AfricaSouth America

1.1 Solutions- Smart railway systems leverage cutting-edge technologies to boost the efficiency and performance of railway infrastructure and assets. Central to these systems is rail analytics, which processes data from diverse sources such as trains, tracks, and stations to optimize operations and maintenance. A network of sensors and devices, including video surveillance cameras, smart cards, multimedia displays, and connectivity solutions, plays a vital role in data collection and transmission. For example, sensors track train locations and monitor infrastructure health, while smart cards capture commuter entry and exit patterns. Together, these technologies enhance safety, streamline operations, and elevate the overall passenger experience in modern railway networks.

Download complimentary Sample Report to gain insights into AI’s impact on market dynamics, emerging trends, and future opportunities- including forecast (2025-2029) and historic data (2019 – 2023) 

Research Analysis

The Smart Railway Systems Market encompasses advanced Technology-based Solutions for Rail Analytics, Freight Information, Passenger Information, and Smart Ticketing Systems. These systems facilitate Real-time Data monitoring and analysis, ensuring optimal Passenger capacity and addressing Commuting requirements in the context of Urbanization and Societal changes. Railway technology plays a pivotal role in enhancing Scheduling, Maintenance, and Manual diagnostics through Digitalization and Real-time monitoring. Smart railway components, including High-speed sensors, are integral to Logistical activities and Railway projects, ensuring efficient Train Services and Railway Systems operation.

Market Research Overview

The Smart Railway Systems Market encompasses advanced technologies and solutions that aim to enhance the efficiency, safety, and passenger experience in railway transportation. These systems leverage technologies such as IoT, RFID, AI, and machine learning to optimize train operations, improve infrastructure management, and provide real-time information to passengers. The market is driven by factors such as increasing urbanization, growing demand for efficient and reliable transportation, and government initiatives to modernize railway infrastructure. Smart railway systems offer benefits like reduced operational costs, improved safety, and enhanced passenger comfort. The market is expected to witness significant growth in the coming years due to these factors and the continuous advancements in technology.

Table of Contents:

1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation

ProductSolutionsComponentsServicesTypePassenger Information SystemRail And Freight OMSSmart Ticketing SystemRail Analytics SystemOthersGeographyEuropeNorth AmericaAPACMiddle East And AfricaSouth America

7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Trends
10 Company Landscape
11 Company Analysis
12 Appendix

About Technavio

Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.

With over 500 specialized analysts, Technavio’s report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio’s comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Contacts

Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200
Email: media@technavio.com
Website: www.technavio.com/

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Technology

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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Technology

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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