The medical devices industry continues to be a hotbed of patent innovation. Activity is driven by increased need for homecare, preventative treatments, early diagnosis, reducing patient recovery times and improving outcomes, and growing importance of technologies such as machine learning, augmented reality, 5G and digitalization. In the last three years alone, there have been over 230,000 patents filed and granted in the medical devices industry, according to GlobalData’s report on Innovation in medical: automated diabetes management. Buy the report here.
However, not all innovations are equal and nor do they follow a constant upward trend. Instead, their evolution takes the form of an S-shaped curve that reflects their typical lifecycle from early emergence to accelerating adoption, before finally stabilizing and reaching maturity.
Identifying where a particular innovation is on this journey, especially those that are in the emerging and accelerating stages, is essential for understanding their current level of adoption and the likely future trajectory and impact they will have.
35+ innovations will shape the medical devices industry
According to GlobalData’s Technology Foresights, which plots the S-curve for the medical devices industry using innovation intensity models built on over 165,000 patents, there are 35+ innovation areas that will shape the future of the industry.
Within the emerging innovation stage, ultrasonic nebulizers and intra-oral 3D imaging are disruptive technologies that are in the early stages of application and should be tracked closely. Automated diabetes management, cardiac stimulation implants, and transdermal drug delivery are some of the accelerating innovation areas, where adoption has been steadily increasing. Among maturing innovation areas is CPR assistance devices and fall detection monitoring, which is now well established in the industry.
Innovation S-curve for the medical devices industry
Automated diabetes management is a key innovation area in medical devices
Automated diabetes management refers to the use of systems, methods, and devices to treat diabetes mellitus by modifying insulin dosage regimens, reducing glucotoxicity, and regaining function of the pancreatic beta-cells. These systems utilize data inputs such as blood glucose level measurements to determine if and how to vary components of a patient's insulin dosage regimen. The goal is to achieve and maintain a patient's glycemic state within a desired range.
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 135 companies, spanning technology vendors, established medical devices companies, and up-and-coming start-ups engaged in the development and application of automated diabetes management.
Key players in automated diabetes management – a disruptive innovation in the medical devices industry
‘Application diversity’ measures the number of applications identified for each patent. It broadly splits companies into either ‘niche’ or ‘diversified’ innovators.
‘Geographic reach’ refers to the number of countries each patent is registered in. It reflects the breadth of geographic application intended, ranging from ‘global’ to ‘local’.
Patent volumes related to automated diabetes management
Source: GlobalData Patent Analytics
DexCom and Abbott Laboratories are two of the leading patent filers in automated diabetes management. Some other key patent filers include F. Hoffmann-La Roche, Medtronic, and Alphabet.
In terms of application diversity, LifeScan leads the pack, while Platinum Equity and Nokia stood in the second and third positions, respectively. By means of geographic reach, The Saudi Public Investment Fund held the top position, followed by Platinum Equity and BIONIME.
The future of automated diabetes management holds great promise, with advancements such as closed-loop systems, enhanced continuous glucose monitoring, artificial intelligence (AI)-driven algorithms, and telemedicine. This helps in transforming how individuals monitor and control their diabetes. Additionally, research into implantable devices and improved interoperability will expand the possibility for more effective individualized diabetes care.
To further understand the key themes and technologies disrupting the medical devices industry, access GlobalData’s latest thematic research report on Medical Devices.
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