The technology industry continues to be a hotbed of innovation, with activity driven the need for faster deployment, improved scalability, and reduced downtime of software applications, and growing importance of technologies such as cloud computing infrastructure, automated deployment tools, and continuous integration and delivery (CI/CD) pipelines. These technologies enable seamless and automated software updates, reducing the complexity and cost associated with traditional upgrade processes. In the last three years alone, there have been over 3.6 million patents filed and granted in the technology industry, according to GlobalData’s report on Innovation in Cloud: Software upgrade process. 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.
300+ innovations will shape the technology industry
According to GlobalData’s Technology Foresights, which plots the S-curve for the technology industry using innovation intensity models built on over 2.5 million patents, there are 300+ innovation areas that will shape the future of the industry.
Within the emerging innovation stage, finite element simulation, deductive databases, and neural networks for data storage are disruptive technologies that are in the early stages of application and should be tracked closely. Multi-programming operating systems, AI assisted network management, and grid computing are some of the accelerating innovation areas, where adoption has been steadily increasing. Among maturing innovation areas are, software-defined wide area network, fog computing, and centralised telemetry system, which are now well established in the industry.
Innovation S-curve for cloud in the technology industry
Software upgrade process is a key innovation area in cloud
The software upgrade process involves enhancing software by incorporating new features, bug fixes, security patches, and other enhancements. Typically, this process entails obtaining the latest software version, installing it on the user's computer, and adhering to any accompanying instructions to ensure a seamless upgrade experience. By following these steps, users can stay up-to-date with the latest software advancements, benefiting from improved functionality and enhanced security.
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 70+ companies, spanning technology vendors, established technology companies, and up-and-coming start-ups engaged in the development and application of software upgrade process.
Key players in software upgrade process – a disruptive innovation in the technology 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 software upgrade process
Source: GlobalData Patent Analytics
Aurora Labs is one of the leading patents filers in software upgrade process. The company’s patents are aimed at disclosed embodiments related to identifying electronic control unit (ECU) anomalies in a vehicle. Operations may include monitoring the real-time and historical data relating to the processing activity as well as the expected processing activity of the ECU. The real-time processing activity data is compared with the historical data to identify at least one anomaly in the real-time processing activity of the ECU and a control action is implemented for the ECU when the at least one anomaly is identified.
By geographic reach, Yanmar leads the pack, followed by THOMSON LICENSING and Synchronoss Technologies. In terms of application diversity, WS Audiology holds the top position, followed by Ford Motor and Juniper Networks.
Cloud innovation in the software upgrade process has revolutionised the way software updates are managed and deployed. Cloud-based software upgrades can provide a more efficient and streamlined approach compared to traditional manual methods.
To further understand how cloud is disrupting the technology industry, access GlobalData’s latest thematic research report on Cloud Computing – Thematic Intelligence.