The banking and payments industry continues to be a hotbed of innovation owing to ever-changing consumer expectations. The rapid technological developments in the areas of banking and payments that aim to offer seamless experience to consumers are now becoming even more vital for industry participants as competitors leverage new technologies such as artificial intelligence, Internet of Things (IoT), cybersecurity, and embedded finance as they compete to stay relevant and grow in the market. In the last three years alone, there have been over 92,000 patents filed and granted in the banking industry, according to GlobalData’s report on Artificial intelligence in Banking: smart vending machines. 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 stabilising 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.
60+ innovations will shape the banking industry
According to GlobalData’s Technology Foresights, which plots the S-curve for the banking industry using innovation intensity models built on over 195,000 patents, there are 60+ innovation areas that will shape the future of the industry.
Within the emerging innovation stage, AI-assisted OCR is a disruptive technology that is in the early stage of application and should be tracked closely. Transaction splitting, automated payment card scanning, and automated clearing houses are some of the accelerating innovation areas, where adoption has been steadily increasing. Among maturing innovation areas is metadata extraction for payments, which is now well established in the industry.
Innovation S-curve for artificial intelligence in the banking industry
Smart vending machines is a key innovation area in artificial intelligence
Smart vending machines are equipped with advanced technologies such as machine learning, computer vision, and IoT connectivity to provide more personalised and interactive experiences to customers and optimise the operations of vending operators.
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 30+ companies, spanning technology vendors, established banking companies, and up-and-coming start-ups engaged in the development and application of smart vending machines.
Key players in smart vending machines – a disruptive innovation in the banking industry
‘Application diversity’ measures the number of different applications identified for each relevant patent and broadly splits companies into either ‘niche’ or ‘diversified’ innovators.
‘Geographic reach’ refers to the number of different countries each relevant patent is registered in and reflects the breadth of geographic application intended, ranging from ‘global’ to ‘local’.
Patent volumes related to smart vending machines
Source: GlobalData Patent Analytics
Outerwall is a key patent filer in the field of smart vending machines. The company has filed several patents related to automated coffee vending kiosk and associated systems, apparatuses and methods for dispensing magnetic cards, integrated circuit cards, and coupon/voucher dispensing machine. Some other key patent filers in the smart vending machines industry are Worldline and Nuro.
In terms of application diversity, Tanktwo leads the pack. Nuro and Barclays stood in the second and third positions, respectively. By means of geographic reach, Midea holds the top position, followed by Hewlett Packard and Cleveron.
To further understand the key themes and technologies disrupting the banking industry, access GlobalData’s latest thematic research report on Artificial Intelligence (AI) in Banking.