The Global Onboard High Performance Computing Market is estimated to reach $5.23 billion by 2025, growing at a CAGR of 9.85% from 2020 to 2025. On board high performance computing consists of integrated multiple computing units like CPUs, GPUs, desktop computers and other devices in which software can use the entire resources acting as one into a single platform. The on board high performance computing is required to facilitate timely execution. As problems cannot be solved in a regular desktop computer with high accuracy hence it raises the need for procurement of on-board high performance computing tools. The advances in management software, upsurge in new cloud service offerings, rise in growth of new technologies like AI and machine learning among others have driven the growth of the market.
Rise in growth of machine leaning, AI, multi robot aerial systems, Unmanned Aerial systems are driving the growth of the market owing to demand for efficiency, high performance and accuracy of these devices.
The multi aerial systems are dominating the market owing to use in multipurpose applications due to its efficiency.
North America dominated the market in 2019 owing the rise in industrial sectors along with rise in research and development in aerospace sector. The wide use of UAVs have also resulted in the growth of the market in this region.
By Offering- Segment Analysis
By Offering Onboard High Performance Computing Market is segmented as Hardware and Software. The Software segment is witnessing a significant growth in the market owing to the growth of on-board embedded computers and cloud robotics. A single robot with several processing units can be made to work locally as single robotic system through the implementation of on board high performance computing. Furthermore, through the use of this technology computational performance of the robot can be enhanced.
By Applications – Segment Analysis
By Application the market is segmented into Precision Agriculture, Military, Civilian, Search and Rescue, Onboard data analysis, navigation, Unmanned Aerial Vehicles, Others. The Multi robot Aerial Systems is witnessing a significant growth in the market owing to the technological advancements of multi robot aerial systems like the heterogeneous multi robot system for multiple aerial ground manipulator systems. Furthermore, the advancements in low energy consumption multi core computer embedded devices have also resulted in the requirement of this technology thereby driving the growth of multi robot aerial systems. The requirement for speeding up on-board computation for multi-board system to provide robustness, scalability, user transparency and others have resulted in large scale deployment of this technology in multi robot aerial systems thereby driving the growth of the market.
By Geography – Segment Analysis
The Global Onboard High Performance Computing Market is dominated by North America by a market share of 43.6% in 2019.In North America the growth of industrial sector has projected the demand for Onboard High Performance Computing. Furthermore, the adoption of UAVs in military applications, commercial applications and others are also witnessing the growth of Onboard High Performance Computing in North America. The unmanned aerial vehicles are widely used in military applications. In order to maximize efficiency the Onboard High Performance Computing approaches and technologies are used for distributed onboard computing in the missions carried out with unmanned aerial systems. These factors are driving the growth of the market in this region.
Drivers – Onboard High Performance Computing
Rise in the growth of unmanned aerial systems due to its use in various applications:
One of the driving factor for upsurge of Onboard High Performance Computing is the wide use of drones for several applications like mapping, inspection, navigation and others. Recently, in Covid-19 outbreak the unmanned aerial systems have proven to be best in use throughout the sanitizing process. For healthcare and social assistance during the COVID-19 outbreak the drones are used for medicinal deliveries. The UAS are used for variety of applications like inspection, mapping, surveillance, aerial videos and many other applications. These factors are making them more prominent in the commercial, industrial and military sectors. Furthermore, the UAVs are widely used in agricultural applications for crop health monitoring, agricultural equipment monitoring, irrigation management and others. The presence of UAVs have resulted in the deployment of Onboard High Performance Computing as it increases the efficiency of these UAVs. Owing to the use of these Onboard High Performance Computing tools the UAVs are used in military applications due its speed and efficiency. These factors are driving the growth of the market.
Rise in new and advanced technologies:
The rise in technological advancements have resulted in the use of standard space qualified onboard computers owing to the rise in onboard data analysis, navigation tasks and other applications. This reduction in complexity has enabled the implementation of this technology. Owing to the use of this technology, parallel applications are used to pilot all the robots at once. The technological advancements have resulted in the time efficiency and task distribution simplification of these onboard high performance computing tools. This rise in technological advancements have driven the market growth.
Challenges – Onboard High Performance Computing Market.
High Energy Consumption and Maintenance:
Although the implementation of onboard high performance computing has many advantages there is a requirement of high power. The high energy consumption is one of the most prominent challenge hindering the growth of the market. Furthermore, the maintenance of energy expenditures are also high resulting in declined growth of the market.
Onboard High Performance Computing is dominated by major companies such, Intel, NVIDIA Corporation, Texas Instruments, Raspberry PI Foundation, Qualcomm, Kindred Systems, EasyMile, iRobot Corporation, Univa, KONUX among others.
November 17, 2019- Intel launched one API model. This model provides scalable programming for HPC/AI Convergence.
April 15, 2019- Univa launched HPC cloud mitigation. HPC cloud mitigation provides high performance computing.