However, not all innovations are equal, nor do they follow a constant upward trend. Instead, their development takes the form of an S-shaped curve that reflects their typical life cycle from early emergence to accelerating adoption, before finally stabilizing and reaching maturity.
Identifying where a particular innovation is on this journey, particularly those in the emerging and accelerating stages, is critical to understanding their current level of adoption and the likely future trajectory and impact they will have.
190+ innovations will shape the tech industry
According to GlobalData’s Technology Foresights, which plots the S-curve of the tech industry using innovation intensity models built on over 1.5 million patents, there are 190+ areas of innovation that will shape the future of the industry.
Within emerging innovation stage, network-on-a-chip, in-memory computing and auditory exciters are disruptive technologies that are in the early stages of application and should be followed closely. Electron beam lithography, OLED pixel compensation circuits and PCI power management are some of them accelerating areas of innovation, where adoption has steadily increased. Among maturing areas of innovation are capacitive touch panels and emergency communication networks, which are now well established in the industry.
Innovation S-curve for the technology industry
Heterogeneous calculation is an important area of innovation in technology
Heterogeneous computing involves the use of different processing units or cores within a system or architecture to improve performance and efficiency. This approach integrates different processors such as CPUs, GPUs, DSPs and FPGAs, each handling specific workloads according to their unique strengths and capabilities. Through this fusion, heterogeneous computing strives to improve overall system performance and optimize energy use by leveraging the distinct advantages of each type of processor.
GlobalData’s analysis also reveals the companies at the forefront of each innovation area and assesses the potential reach and impact of their patenting activities across different applications and geographies. According to GlobalData, there are 600+ companies, spanning technology vendors, established technology companies, and upcoming start-ups engaged in the development and application of heterogeneous computing.
Key players in heterogeneous computing – a disruptive innovation in technology industry
“Application diversity” measures the number of applications identified for each patent. It broadly divides companies into either “niche” or “diversified” innovators.
“Geographic scope” refers to the number of countries each patent is registered in. It reflects the intended geographic breadth of application, ranging from “global” to “local.”
Patent volumes related to heterogeneous computing
Source: GlobalData Patent Analytics
Among the companies innovating in heterogeneous computing, International Business Machines (IBM) is one of the leading patent applicants. The company’s patent seeks to describe a technique, system and computer program for retrieving messages from message queues using a single program code. A data processing system for message queues is configured to enable this functionality. This system includes a message queue operating within a host server, which provides an API to applications connected to the message queue via a computer communications network. The API provided by the message queue includes a single program call that is equipped to initiate the opening of a queue resource within the message queue, retrieve all messages in a message buffer from said resource, and then close the queue resource. Other prominent patent applicants in the space include Microsoft and Intel.
In terms of application diversity, Intel leads the pack, while Microsoft and Salesforce were in second and third place, respectively. By geographic scope, Intel had the top position followed by Telefonaktiebolaget LM Ericsson and Microsoft.
Heterogeneous computing means utilizing a mix of different processors such as CPUs, GPUs and specialized accelerators to jointly handle different computational tasks. This approach maximizes efficiency and performance for complex workloads, from artificial intelligence to scientific simulations. By exploiting the distinct strengths of the various processors, heterogeneous computing enables more powerful and energy-efficient computing solutions. It plays a critical role in meeting the escalating demands for high-performance computing in various industries, including AI, gaming and scientific research, and is critical to advancing the capabilities of computing technology.
To further understand the key themes and technologies disrupting the tech industry, visit GlobalData’s latest thematic technology research report.
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