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Intelligent Traffic Management Market size is set to grow by USD 19.41 billion from 2024-2028, Increasing demand for AI-based smart traffic solutions to boost the market growth, Technavio

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NEW YORK, June 24, 2024 /PRNewswire/ — The global intelligent traffic management market  size is estimated to grow by USD 19.41 billion from 2024-2028, according to Technavio. The market is estimated to grow at a CAGR of  13.64%  during the forecast period.  Increasing demand for AI-based smart traffic solutions is driving market growth, with a trend towards increase in the purchase of four-wheelers. However, lack of skilled professionals in government traffic organizations  poses a challenge. Key market players include Chevron Corp., Cisco Systems Inc., Cubic Corp., Huawei Technologies Co. Ltd., INRIX Inc., International Business Machines Corp., Kapsch TrafficCom AG, Light Crossing Technology Corp., PTV Planung Transport Verkehr AG, Q Free ASA, Rekor Systems Inc., Roper Technologies Inc., Siemens AG, SNC Lavalin Group Inc., SWARCO AG, TagMaster AB, Teledyne Technologies Inc., Telegra d.o.o., Thales Group, and TomTom NV.

Get a detailed analysis on regions, market segments, customer landscape, and companies – Click for the snapshot of this report

Forecast period

2024-2028

Base Year

2023

Historic Data

2018 – 2022

Segment Covered

Application (Traffic monitoring, Traffic control, and Information provision), Service (Surveillance cameras, Display boards, Sensors, Interface boards, and Radars), and Geography (North America, Europe, APAC, South America, and Middle East and Africa)

Region Covered

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

Key companies profiled

Chevron Corp., Cisco Systems Inc., Cubic Corp., Huawei Technologies Co. Ltd., INRIX Inc., International Business Machines Corp., Kapsch TrafficCom AG, Light Crossing Technology Corp., PTV Planung Transport Verkehr AG, Q Free ASA, Rekor Systems Inc., Roper Technologies Inc., Siemens AG, SNC Lavalin Group Inc., SWARCO AG, TagMaster AB, Teledyne Technologies Inc., Telegra d.o.o., Thales Group, and TomTom NV

Key Market Trends Fueling Growth

The global automobile sales recovery in 2021 and 2022, particularly in major markets like the US, China, EU, and Japan, signifies a significant growth in the four-wheelers sector. In H2 2022, the Japanese market experienced a 12% increase, EU sales surged by 27%, and US sales grew by nearly 30% in H1 2022. This upward trend in automobile sales will undeniably boost the demand for intelligent traffic management solutions during the forecast period. 

The Intelligent Traffic Management market is experiencing significant growth due to the increasing need for efficient transportation systems. Technologies like Signal Control, Congestion Management, and Real-Time Traffic are trending in this sector. These technologies help improve traffic flow, reduce travel time, and enhance safety. Radar and camera systems are used for traffic monitoring and analysis, while predictive analytics is employed to anticipate traffic patterns and adjust accordingly. Proactive approaches to traffic management are becoming essential in urban areas, where traffic congestion is a major issue. The market is expected to continue growing as cities seek innovative solutions to manage their transportation infrastructure. 

Research report provides comprehensive data on impact of trend. For more details- Download a Sample Report

Market Challenges

The intelligent traffic management market faces a challenge due to the shortage of proficient IT and AI specialists. Traffic controllers’ limited understanding of these systems’ capabilities results in inadequate or incorrect data being provided to authorities. This issue can lead to potential complications. The high expenses associated with recruiting skilled professionals hinder market expansion during the forecast period.The Intelligent Traffic Management market faces several challenges in implementing effective systems. Passenger safety and security are top priorities, requiring constant connectivity and real-time traffic information. Congestion and urban mobility are major issues, necessitating the use of advanced technologies like vehicle probing and predictive analytics. Cost and implementation are also significant challenges, with the need for scalable and cost-effective solutions. Additionally, integrating various transportation modes and ensuring seamless communication between them is a complex task. The use of IoT and cloud technologies can help address these challenges, providing real-time data and improving overall efficiency.

For more insights on driver and challenges – Download a Sample Report

Segment Overview 

This intelligent traffic management market report extensively covers market segmentation by

Application 1.1 Traffic monitoring1.2 Traffic control1.3 Information provisionService 2.1 Surveillance cameras2.2 Display boards2.3 Sensors2.4 Interface boards2.5 RadarsGeography 3.1 North America3.2 Europe3.3 APAC3.4 South America3.5 Middle East and Africa

1.1 Traffic monitoring-  Intelligent traffic management plays a crucial role in the global market by effectively monitoring and managing road traffic. Advanced techniques like machine learning enhance its utilization. Due to the high costs and limited road infrastructure development, managing existing infrastructure is more feasible. Sensors such as automatic cameras and speed sensors collect data, enabling traffic rule implementation. The increasing adoption of intelligent traffic management will drive market growth during the forecast period.

For more information on market segmentation with geographical analysis including forecast (2024-2028) and historic data (2018 – 2022)  – Download a Sample Report

Research Analysis

In the post-pandemic era, the Intelligent Traffic Management (ITM) market experiences significant growth due to the increasing demand for efficient urban infrastructure development. Major manufacturers focus on supplying components for ITM installations, including telematics tracking systems and traffic management infrastructure. The economic impact of ITM is substantial, as it reduces traffic congestion, carbon dioxide emissions, and airborne pollutants. Project delays due to insufficient infrastructure are mitigated through ITM solutions, which also enhance safety and security by monitoring driver behavior and providing real-time emergency response. In the sales of cars segment, ITM is a crucial factor in cost reduction and the implementation of smart mobility solutions. The market for ITM continues to expand, addressing the needs of traffic management and ensuring a more efficient and sustainable transportation system.

Market Research Overview

The Intelligent Traffic Management (ITM) market encompasses solutions and technologies designed to optimize and manage traffic flow in real-time. These systems leverage advanced analytics, machine learning, and artificial intelligence to provide actionable insights and improve transportation efficiency. Key features include adaptive signal control, real-time traffic monitoring, and predictive analytics. ITM systems aim to reduce congestion, enhance safety, and minimize travel time for commuters. Urban areas and transportation networks worldwide are increasingly adopting ITM solutions to address growing traffic demands and improve overall mobility.

Table of Contents:

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

ApplicationTraffic MonitoringTraffic ControlInformation ProvisionServiceSurveillance CamerasDisplay BoardsSensorsInterface BoardsRadarsGeographyNorth AmericaEuropeAPACSouth AmericaMiddle East And Africa

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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SOURCE Technavio

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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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