In the upcoming years, it is anticipated that the market would expand dramatically. The rising demand for self-driving cars and advanced driver assistance systems (ADAS) is what's fueling this increase. Cameras, radar, and LIDAR sensors are used by ADAS to collect information about the area around the vehicle. HPC systems then evaluate this data to find potential dangers and provide advice to the driver.
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Data Bridge Market Research analyses that the Global High Performance Computing for Automotive Market is expected to grow at a CAGR of 12.1% in the forecast period of 2023 to 2030 and is expected to reach USD 9,059,411.97 million by 2030. Future mobility will have access to a variety of new features and services thanks to digitalization. However, this is also causing an exponential rise in the volume of data and information that needs to be processed. The current electrical/electronics (E/E) architecture is already past its breaking point. Megatrends in the automotive industry including automated driving, software-defined vehicles, and linked mobility call for an increasing amount of intelligence and computer capacity.
Key Findings of the Study
RISING INTEGRATION OF AI AND ML TECHNOLOGIES IN AUTOMOBILES
The importance of machine learning (ML) and artificial intelligence (AI) is rising in the automobile sector. Several functionalities are being developed using these technologies. ADAS systems use sensors to collect information about the surroundings of the car, and they use AI and ML to decide how to react. For instance, ADAS systems may be used to alert drivers to potential dangers, to automatically apply the brakes to prevent collisions, and to maintain vehicle lane integrity.
Report Scope and Market Segmentation
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Report Metric
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Details
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Forecast Period
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2023 to 2030
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Base Year
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2022
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Historic Years
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2021 (Customizable to 2015 - 2020)
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Quantitative Units
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Revenue in USD Thousand, Pricing in USD
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Segments Covered
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Offering (Solution, Software, and Services), Deployment Model (On Premises, and Cloud), Organization Size (Large Enterprises, Small and Medium Size Enterprises (SMES)), Computation Type (Parallel Computing, Distributed Computing, and Exascale Computing), Platform (Safety & Motion HPC, Autonomous Driving HPC, Body HPC, Cockpit HPC, and Cross-Domain HPC), Vehicle Type (Passenger Car, Light Commercial Vehicle, and Heavy Commercial Vehicle)
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Countries Covered
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U.S., Canada, Mexico, France, Germany, U.K., Italy, Spain, Netherlands, Switzerland, Russia, Turkey, Belgium, Poland, Sweden, Denmark, Norway, Finland, rest of Europe, China, Japan, India, South Korea, Australia, Indonesia, Singapore, Malaysia, Taiwan, Thailand, New Zealand, Philippines, Vietnam, rest of Asia-Pacific, U.A.E., U.A.E., Saudi Arabia, Egypt, Qatar, Israel, South Africa, Kuwait, Bahrain, Oman, rest of Middle East and Africa, Brazil, Argentina and rest of South America.
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Market Players Covered
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NVIDIA Corporation (U.S.), Advanced Micro Devices, Inc. (U.S.), IBM (U.S.), Hewlett Packard Enterprise Development LP (U.S.), Dell Inc. (U.S.), Fujitsu (Japan), NEC Corporation (Japan), Vector Informatik GmbH (Germany), NXP Semiconductors. (Netherlands), Super Micro Computer, Inc. (U.S.), Altair Engineering Inc. (U.S.), ANSYS, Inc (U.S.), Rescale, Inc. (U.S.), MiTAC Computing Technology Corporation (Tiwan), Elektrobit. (Germany), TotalCAE. (U.S.), Beijing Jingwei Hirain Technologies Co., Inc. (China), Lenovo. (Hong Kong), ESI Group (France), Microsoft (U.S.), and Taiwan Semiconductor Manufacturing Company Limited (China) among others
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Data Points Covered in the Report
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In addition to the insights on market scenarios such as market value, growth rate, segmentation, geographical coverage, and major players, the market reports curated by the Data Bridge Market Research also include in-depth expert analysis, geographically represented company-wise production and capacity, network layouts of distributors and partners, detailed and updated price trend analysis and deficit analysis of supply chain and demand.
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Segment Analysis:
The global high performance computing for automotive market is segmented on the basis of offering, deployment model, organization size, computation type, platform, and vehicle type.
- On the basis of offering, the market is segmented into solution, software, and services.
In 2023, the solutions segment is expected to dominate the market
In 2023, the solutions segment is expected to dominate the market as automotive applications become more complex, and the need for specialized solutions that can provide the necessary performance and scalability increases, and is expected to grow with a CAGR of 12.5% in the forecast period of 2023 to 2030.
- On the basis of deployment model, the market is segmented into on premises and cloud.
In 2023, the on premises segment is expected to dominate the market
In 2023, the on premises segment is expected to dominate the market as automotive applications become more complex, and the need for specialized solutions that can provide the necessary performance and scalability increases, is expected to grow with a CAGR of 12.0% in the forecast period
- On the basis of organization size, the market is segmented into large enterprises and small and medium size enterprises (SMES). In 2023, the large enterprises segment is expected to dominate the market and is expected to grow with a CAGR of 11.9% in the forecast period of 2023 to 2030
- On the basis of computation type, the market is segmented into parallel computing, distributed computing, and exascale computing. In 2023, the parallel computing segment is expected to dominate the market with a 51.46% share and is expected to grow with a CAGR of 12% in the forecast period of 2023 to 2030
- On the basis of platform, the market is segmented into safety & motion HPC, autonomous driving HPC, body HPC, cockpit HPC, and cross-domain HPC. In 2023, the safety & motion HPC segment is expected to dominate the market and is expected to grow with a CAGR of 12.3% in the forecast period of 2023 to 2030
- On the basis of vehicle type, the market is segmented into passenger car, light commercial vehicle, and heavy commercial vehicle. In 2023, the passenger car segment is expected to dominate the market and is expected to grow with a CAGR of 12.5% in the forecast period of 2023 to 2030
Major Players
Data Bridge Market Research recognizes the following companies as the market NVIDIA Corporation, Advanced Micro Devices, Inc., IBM, Hewlett Packard Enterprise Development LP, Dell Inc., Fujitsu, NEC Corporation, Vector Informatik GmbH, NXP Semiconductors., Super Micro Computer, Inc., Altair Engineering Inc., ANSYS, Inc, Rescale, Inc., MiTAC Computing Technology Corporation, Elektrobit., TotalCAE., Beijing Jingwei Hirain Technologies Co., Inc., Lenovo., ESI Group, Microsoft, and Taiwan Semiconductor Manufacturing Company Limited among others.
Market Developments
- In December 2021, NXP Semiconductors announced a partnership with Hailo, the edge AI chipmaker. The partnership aimed at launching several joint AI solutions for automotive Electronic Control Units (ECUs). The combined solutions combined the powerful Hailo-8 AI processor with the safe and effective S32G and Layerscape automotive processors from NXP
- In May 2022, NEC Corporation and Inspur Information partnered to provide European auto manufacturers with an HPC as a Service (HPCaaS) solution for computer-aided engineering (CAE). High-performance computing (HPC) infrastructure resilience and energy efficiency are goals shared by Inspur and NEC
- In April 2022, Microsoft announced that Rimac Technology has been using Azure HPC form simulating high levels of performance inducted in its high-speed cars
- In December 2015, ESI Group announced the opening of its new European HPC Center. The data center is now based on the Teratec Campus, an ideal location to launch collaborative High-Performance Computing (HPC) projects as it is in the vicinity of Europe’s biggest HPC center
- In November 2022, Dell Inc. announced an extension of its high-performance computing (HPC) portfolio, with new hardware, services, and a hybrid quantum computing solution
Regional Analysis
Geographically, the countries covered in the market report are U.S., Canada, Mexico, France, Germany, U.K., Italy, Spain, Netherlands, Switzerland, Russia, Turkey, Belgium, Poland, Sweden, Denmark, Norway, Finland, rest of Europe, China, Japan, India, South Korea, Australia, Indonesia, Singapore, Malaysia, Taiwan, Thailand, New Zealand, Philippines, Vietnam, rest of Asia-Pacific, U.A.E., U.A.E., Saudi Arabia, Egypt, Qatar, Israel, South Africa, Kuwait, Bahrain, Oman, rest of Middle East and Africa, Brazil, Argentina and rest of South America.
As per Data Bridge Market Research analysis:
Asia-Pacific is the dominant region in the market during the forecast period 2023 -2030
In 2023, Asia-Pacific is expected to dominate the market as the region is home to some of the largest automotive markets. The region’s rapidly expanding automotive sector drives the demand for HPC solutions for automotive.
Europe is estimated to be the fastest-growing region in the market for the forecast period 2023 -2030
Europe is estimated to be the fastest-growing region in high-performance computing for the automotive market as Europe is home to several technologically advanced automotive manufacturers and research institutions. Through an increasing focus on electric mobility, connected vehicles, and autonomous driving, automobile companies in Europe are investing in HPC solutions.
For more detailed information about the high performance computing for automotive market report, click here – https://www.databridgemarketresearch.com/ko/reports/global-high-performance-computing-for-automotive-market
