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Changing Industry Focus |
NEWS |
Compared to ProMat 2023, there was a definite change in focus on the supply chain industry. ProMat was all about new functionalities for automation and software, with both established and emerging vendors showcasing a wide variety of solutions expanding to new form factors. MODEX 2024 held a different sentiment, with vendors focusing primarily on implementing their solutions, rather than showcasing anything new.
Overall, MODEX 2024 gave the impression that much of the hype around robotics and Artificial Intelligence (AI) in material handling is giving way to the necessary focus on how these technologies are implemented, what pain points in what industry they can best resolve, and how to establish the best channels to bring the technology to market at scale.
Dominant Trends |
IMPACT |
Opportunities for Telematics, a Healthy RaaS/CAPEX Balance, and a Note of Caution for LiDAR |
RECOMMENDATIONS |
Given the increasing number of autonomous forklifts, trailer unloading and loading looks to be the most sought-after application, given its uniformity and simplicity. Fox Robotics has dedicated its full efforts to this application, citing significant demand from customers looking to automate their pallet handling at the dock. As discussed previously in ABI Insight “Accessing the Value of Industrial Telematics Data,” telematics solutions at the material handling level will see growing interest as automation expands. This is a key opportunity for established fleet telematics vendors to build partnerships with Original Equipment Manufacturers (OEMs) in this area.
While AMRs have dropped somewhat from their hype cycle seen through 2023, the emergence of new vendors indicates the market has not entered the consolidation phase that many in the industry predicted. As discussed previously in ABI Insight “The Mobile Robot Acquisition Trend Continues as Rockwell Automation Acquires Clearpath Robotics,” the broad array of use cases along the supply chain and in manufacturing continues to open opportunities, and the scalable nature of the technology allows startups to continue to pop up, finding success in small, customized deployments. From a purchasing model perspective, a healthy mix of end users are still looking for Robotics-as-a-Service (RaaS) models and purchasing the AMRs outright, so no model is currently winning over the other.
Mobile automation and robotic picking solutions are increasingly using machine vision. Since discussing the developments in machine vision last year in ABI Insight “Developments in AI-Powered Image Processing Look Set to Propel Industrial Machine Vision Applications to New Heights,” more and more companies have leveraged the technology to enable more use cases and enhance perception, even replacing Light Detection and Ranging (LiDAR) entirely in newer models. While this does not indicate the end of LiDAR applications, LiDAR providers must continue to monitor how mobile robot solutions balance the two technologies and diversify accordingly if the balance starts to tip the other way.