{"product_id":"na-high-performance-computing-for-automotive-market-industry-trends-and-forecast-to-2030","title":"NA High Performance Computing for Automotive Market - Industry Trends and Forecast to 2030","description":"\u003cp\u003eNA High Performance Computing for Automotive Market - Industry Trends and Forecast to 2030\u003cbr\u003e\nThe North America high performance computing for automotive market is expected to reach USD 2,629,429.07 thousand by 2030 from USD 1,106,783.67 thousand in 2022 growing with a CAGR of 11.7% in the forecast period of 2023 to 2030.\u003cbr\u003e\nMarket Segmentation\u003cbr\u003e\nNorth America High Performance Computing Market, By 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 \u0026amp; Motion HPC, Autonomous Driving HPC, Body HPC, Cockpit HPC, and Cross-Domain HPC), Vehicle Type (Passenger Car, Light Commercial Vehicle, and Heavy Commercial Vehicle), Region (Asia-Pacific, Europe, North America, Middle East and Africa, South America) - Industry Trends and Forecast to 2030.  \u003cbr\u003e\nOverview of  North America High Performance Computing For Automotive Market Dynamics\u003c\/p\u003e\n\n\u003cp\u003eDriver\u003c\/p\u003e\n\n\u003cp\u003e• High computing power required for testing and design of vehicles\u003c\/p\u003e\n\n\u003cp\u003eRestrain\u003c\/p\u003e\n\n\u003cp\u003e• High cost of HPC equipment\u003c\/p\u003e\n\n\u003cp\u003eOpportunity\u003c\/p\u003e\n\n\u003cp\u003e• High adoption of cloud based HPC solutions\u003c\/p\u003e\n\n\u003cp\u003eMarket Players\u003c\/p\u003e\n\n\u003cp\u003eSome of the key players operating in the North America high performance computing for automotive market are:\u003cbr\u003e\n• Hewlett Packard Enterprise Development LP\u003cbr\u003e\n• IBM\u003cbr\u003e\n• Lenovo.\u003cbr\u003e\n• NVIDIA Corporation\u003cbr\u003e\n• Advanced Micro Devices, Inc.\u003cbr\u003e\n• Microsoft\u003cbr\u003e\n• Taiwan Semiconductor Manufacturing Company Limited\u003cbr\u003e\n• Dell Inc.\u003cbr\u003e\n• Fujitsu\u003cbr\u003e\n• Elektrobit.\u003cbr\u003e\n• NEC Corporation\u003cbr\u003e\n• Beijing Jingwei Hirain Technologies Co., Inc.\u003cbr\u003e\n• NXP Semiconductors.\u003cbr\u003e\n• ANSYS, Inc\u003cbr\u003e\n•  ESI Group\u003cbr\u003e\n• Super Micro Computer, Inc.\u003cbr\u003e\n• Altair Engineering Inc.\u003cbr\u003e\n•  TotalCAE.\u003cbr\u003e\n• Vector Informatik GmbH\u003cbr\u003e\n• MiTAC Computing Technology Corporation\u003cbr\u003e\n• Rescale, Inc.\u003c\/p\u003e","brand":"Heavy Industry","offers":[{"title":"August, 2023 \/ 134 Pages \/ MCW16221620","offer_id":47631747186994,"sku":null,"price":4200.0,"currency_code":"USD","in_stock":true}],"url":"https:\/\/www.hardmanwell.com\/products\/na-high-performance-computing-for-automotive-market-industry-trends-and-forecast-to-2030","provider":"HARDMAN AND WELL MANAGEMENT CONSULTANCIES L.L.C","version":"1.0","type":"link"}