The construction industry continues to be a hotbed of innovation. Activity is driven by an increased focus on environmental sustainability and workplace safety, and the growing importance of technologies such as the Internet-of-Things (IoT) and robotics. In the last three years alone, there have been over 27,000 patents filed and granted in the construction industry, according to GlobalData’s report on Artificial intelligence in Construction: Excavator payload estimators. Buy the report here.
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According to GlobalData’s Technology Foresights, which uses over 240,000 patents to analyze innovation intensity for the construction industry, there are 80+ innovation areas that will shape the future of the industry.
Excavator payload estimators is a key innovation area in artificial intelligence
Excavator payload estimators use artificial intelligence to estimate the maximum load that an excavating machine can handle. Using data on the operational status of the machine and its capacities, the system can calculate a maximum payload and inform the operator when the excavator is over- or under-loaded.
GlobalData’s analysis also uncovers the companies at the forefront of each innovation area and assesses the potential reach and impact of their patenting activity across different applications and geographies. According to GlobalData, there are 15+ companies, spanning technology vendors, established construction companies, and up-and-coming start-ups engaged in the development and application of excavator payload estimators.
Key players in excavator payload estimators – a disruptive innovation in the construction industry
‘Application diversity’ measures the number of different applications identified for each relevant patent. It broadly splits companies into either ‘niche’ or ‘diversified’ innovators.
‘Geographic reach’ refers to the number of different countries each relevant patent is registered in. It reflects the breadth of geographic application intended, ranging from ‘global’ to ‘local’.
Patent volumes related to excavator payload estimators
| Company | Total patents (2021 - 2023) | Premium intelligence on the world's largest companies |
| Hitachi | 55 | Unlock Company Profile |
| Caterpillar | 37 | Unlock Company Profile |
| Komatsu | 26 | Unlock Company Profile |
| CR | 19 | Unlock Company Profile |
| FLANDERS ELECTRIC MOTOR SERVICE | 13 | Unlock Company Profile |
| Deere & Co | 10 | Unlock Company Profile |
| CNH Industrial | 10 | Unlock Company Profile |
| Sumitomo Heavy Industries | 9 | Unlock Company Profile |
| Aito Capital | 7 | Unlock Company Profile |
| Doosan Infracore | 5 | Unlock Company Profile |
Source: GlobalData Patent Analytics
A leading company in the excavator payload estimators space is Hitachi, which is a leading provider of excavation machinery. A recent innovation by Hitachi allows excavators to be fitted with a controller, which can compute the excavator’s payload using information on the material and the machine and inform the operator when the excavator is overloaded. The controller comprises a storage device that stores a load overflow reference value stipulated by the interrelationship of a load value for an object being worked, the orientation of a work machine, and the operation status of the work machine. Other leading companies in the space include Komatsu and Caterpillar.
In terms of application diversity, the leading companies include Hitachi and Komatsu, while in terms of geographic reach, the leading companies are Epiroc, Komatsu, and Hitachi.
To further understand the key themes and technologies disrupting the construction industry, access GlobalData’s latest thematic research report on Artificial Intelligence (AI) in Construction.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
GlobalData’s Patent Analytics tracks patent filings and grants from official offices around the world. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
