However, not all innovations are equal or follow a constant upward trend. Instead, its evolution takes the form of an S-shaped curve that reflects its typical life cycle from early emergence to accelerated adoption, before finally stabilizing and reaching maturity.
Identifying where a particular innovation is on this journey, especially those that are in the emerging and acceleration stages, is essential to understanding their current level of adoption and the likely future trajectory and impact they will have.
More than 190 innovations will shape the technology industry
According to GlobalData’s Technology Foresights, which maps the S-curve for the technology industry using innovation intensity models based on more than 1.5 million patents, there are more than 190 areas of innovation that will shape the future of the industry.
Within emergent 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 closely followed. Electron beam lithography, OLED pixel compensation circuits and PCI power management are some of the throttle areas of innovation, where adoption has steadily increased. Between maturing Areas of innovation are capacitive touch panels and emergency communications network, which are now well established in the industry.
Innovation S curve for the technology industry
Heterogeneous computing is a key area of technology innovation
Heterogeneous computing involves the use of various processing units or cores within a system or architecture to improve performance and efficiency. This approach integrates multiple processors such as CPU, GPU, DSP, and FPGA, each of which handles specific workloads according to their unique strengths and capabilities. Through this fusion, heterogeneous computing strives to improve overall system performance and optimize power utilization by taking advantage of the distinct advantages of each type of processor.
GlobalData’s analysis also uncovers companies that are at the forefront of each area of innovation and assesses the potential scope and impact of their patenting activity across different applications and geographies. According to GlobalData, there are more than 600 companies, spanning technology providers, established technology companies, and promising startups dedicated to 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. Broadly, it divides companies into “niche” or “diversified” innovators.
The “geographical scope” refers to the number of countries in which each patent is registered. It reflects the breadth of intended geographic application, from “global” to “local.”
Patent volumes related to heterogeneous computing.
Source: GlobalData Patent Analysis
Among companies innovating in heterogeneous computing, International Business Machines (IBM) is one of the leading patent applicants. The company’s patents are intended 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 comprises a message queue that operates within a host server, offering an API to applications connected to the message queue over a computer communications network. The API, provided by the message queue, incorporates a single program call that is equipped to initiate the opening of a queue resource within the message queue, retrieve all messages within a message buffer of that resource, and subsequently close the queue resource. Other notable patent applicants in the space include Microsoft and Intel.
In terms of application diversity, Intel leads the pack, while Microsoft and Salesforce took second and third positions, respectively. In terms of geographic reach, Intel took the first position, followed by Telefonaktiebolaget LM Ericsson and Microsoft.
Heterogeneous computing involves leveraging a combination of different processors, such as CPUs, GPUs, and specialized accelerators, to collectively handle various computational tasks. This approach maximizes efficiency and performance for complex workloads, from artificial intelligence to scientific simulations. By utilizing the different strengths of multiple processors, heterogeneous computing enables more powerful and energy-efficient computing solutions. It plays a critical role in addressing the growing demands for high-performance computing in various industries, including artificial intelligence, gaming, and scientific research, and is instrumental in improving the capabilities of computing technology.
To better understand the key themes and technologies disrupting the technology industry, access GlobalData’s latest thematic research report on technology.