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Mobile Robot Platforms Market size is set to grow by USD 2.17 billion from 2024-2028, Changes in global labor force boost the market, Technavio

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NEW YORK, June 25, 2024 /PRNewswire/ — The global mobile robot platforms market size is estimated to grow by USD 2.17 billion from 2024-2028, according to Technavio. The market is estimated to grow at a CAGR of over 15.31%  during the forecast period. Changes in global labor force is driving market growth, with a trend towards increased emphasis on reducing hardware-related drawbacks. However, high cost of deployment  poses a challenge. Key market players include ABB Ltd., Amazon.com Inc., BlueBotics SA, Boston Dynamics Inc., Clearpath Robotics Inc., Dematic Group, Irobot Corp., KUKA AG, Locus Robotics Corp., Mekatronix, Mobile Industrial Robots AS, Neobotix GmbH, OMRON Corp., Robotnik Automation SLL, ROFA INDUSTRIAL AUTOMATION AG, SoftBank Robotics Group Corp., ST Engineering Aethon Inc., and Yaskawa Electric Corp..

Get a detailed analysis on regions, market segments, customer landscape, and companies- View the snapshot of this report

Mobile Robot Platforms Market Scope

Report Coverage

Details

Base year

2023

Historic period

2018 – 2022

Forecast period

2024-2028

Growth momentum & CAGR

Accelerate at a CAGR of 15.31%

Market growth 2024-2028

USD 2172.5 million

Market structure

Fragmented

YoY growth 2022-2023 (%)

12.95

Regional analysis

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

Performing market contribution

APAC at 51%

Key countries

US, China, Japan, Germany, and South Korea

Key companies profiled

ABB Ltd., Amazon.com Inc., BlueBotics SA, Boston Dynamics Inc., Clearpath Robotics Inc., Dematic Group, Irobot Corp., KUKA AG, Locus Robotics Corp., Mekatronix, Mobile Industrial Robots AS, Neobotix GmbH, OMRON Corp., Robotnik Automation SLL, ROFA INDUSTRIAL AUTOMATION AG, SoftBank Robotics Group Corp., ST Engineering Aethon Inc., and Yaskawa Electric Corp.

Market Driver

The mobile robot platforms market is expected to grow during the forecast period due to advancements in traffic management, sensing and navigation systems, and safety management. Vendors are focusing on real-time map updates and multiple sensory inputs for decision-making. Improvements in object recognition and obstacle avoidance are crucial for increased efficiency. Enhancements in AI and machine learning capabilities will enable semantic obstacle classification and efficient obstacle avoidance strategies. These advancements will lead to improved collaboration between mobile robot platforms and humans. 

The Mobile Robot Platforms market is experiencing significant growth with various solutions and technologies in use. These platforms include those for logistics and transportation, surveillance and security, agriculture, and more. Robotic systems are being adopted for their efficiency and precision in tasks such as material handling, inventory management, and even farming. Companies are investing in advanced technologies like autonomous navigation, sensor integration, and machine learning to enhance the capabilities of these platforms. The trend towards automation and digital transformation is driving the demand for mobile robot platforms across industries. 

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

Market Challenges

The global mobile robot platform market faces significant challenges due to high deployment costs. These costs include equipment, modifications to infrastructure, and additional features for specific industries. For instance, telepresence solutions incur call monitoring and scheduling expenses. In agriculture, where seasons limit the utility of mobile robots, cost-effectiveness and ROI are crucial concerns. Vendors must address these challenges to expand the market during the forecast period.The Mobile Robot Platforms market faces several challenges. Components such as computers, screens, and batteries are essential for these platforms. However, making them compact and lightweight is a significant challenge. Additionally, ensuring their connectivity and integration with other systems is crucial. Costs are also a concern, as making these platforms affordable for businesses and consumers is essential. Furthermore, ensuring their reliability and durability in various environments is a challenge. Lastly, maintaining and updating their software and security is necessary to keep them functional and secure. Overall, addressing these challenges will be key to the success of mobile robot platforms in various industries.

For more insights on driver and challenges – Request a sample report!

Segment Overview 

This mobile robot platforms market report extensively covers market segmentation by  

Product 1.1 Software1.2 Services1.3 HardwareEnd-user 2.1 Logistics and warehousing2.2 Manufacturing industries2.3 Agriculture and mining2.4 Medical and healthcare2.5 OthersGeography 3.1 APAC3.2 North America3.3 Europe3.4 Middle East and Africa3.5 South America

1.1 Software-  The software segment dominates the mobile robot platforms market due to rising demand for data analysis by end-users. Vendors like Aethon and OMRON provide software solutions with minimal infrastructure modifications. Functionalities such as fleet management, self-navigation, and improved ERP interfacing enhance the value of these software offerings. Benefits like traffic control, testing, and SLAM location technology drive the growth of the software segment in the market.

For more information on market segmentation with geographical analysis including forecast (2024-2028) and historic data (2017-2021) – Download a Sample Report

Research Analysis

The Mobile Robot Platforms Market is experiencing significant growth due to the integration of advanced technologies such as artificial intelligence, computer vision, and robotics in diverse industries. The aging population and changing conditions in agriculture require automated solutions, leading to the increased adoption of mobile robot platforms. Advanced technologies like computer science and electrical engineering are crucial in developing efficient and connected solutions for container terminals and e-commerce activity. Automated guided vehicles and electric cars are transforming logistics and transportation sectors, further boosting the market. The integration of these technologies in dynamic surroundings is essential to reduce costs and improve efficiency in various industries.

Market Research Overview

The Mobile Robot Platforms market encompasses advanced technologies and solutions designed for automating various industries. These platforms enable robots to navigate and operate in dynamic environments, offering benefits such as increased efficiency, improved accuracy, and enhanced safety. Key features of mobile robot platforms include autonomous navigation, adaptive behavior, and real-time data processing. Applications span across sectors like manufacturing, logistics, healthcare, agriculture, and more. Companies invest in research and development to create versatile and customizable solutions catering to diverse industry needs. The market is expected to grow significantly due to the rising demand for automation and the integration of advanced technologies like AI, machine learning, and computer vision.

Table of Contents:

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

ProductSoftwareServicesHardwareEnd-userLogistics And WarehousingManufacturing IndustriesAgriculture And MiningMedical And HealthcareOthersGeographyAPACNorth AmericaEuropeMiddle 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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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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