The global high performance computing for automotive market is expected to reach USD 9,059,411.97 thousand by 2030 from USD 3,692,971.88 thousand in 2022 growing with a CAGR of 12.1% in the forecast period of 2023 to 2030.
Market Segmentation
Global 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 & 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.
Overview of Global High Performance Computing For Automotive Market Dynamics
- Driver
- Increasing complexity and performance requirements in the electronic architecture of a vehicle
- Restrain
- High cost of HPC equipment
- Opportunity
- High adoption of cloud based HPC solutions
Market Players:
Some of the key players operating in the global high performance computing for automotive market are:
- Hewlett Packard Enterprise Development LP
- IBM
- Lenovo.
- NVIDIA Corporation
- Advanced Micro Devices, Inc.
- Microsoft
- Taiwan Semiconductor Manufacturing Company Limited
- Dell Inc.
- Fujitsu
- Elektrobit.
- NEC Corporation
- Beijing Jingwei Hirain Technologies Co., Inc.
- NXP Semiconductors.
- ANSYS, Inc
- ESI Group
- Super Micro Computer, Inc.
- Altair Engineering Inc.
- TotalCAE.
- Vector Informatik GmbH
- MiTAC Computing Technology Corporation
- Rescale, Inc.
TABLE OF CONTENTS
1 INTRODUCTION 15
- 1.1 OBJECTIVES OF THE STUDY 15
- 1.2 MARKET DEFINITION 15
- 1.3 OVERVIEW OF GLOBAL HIGH PERFORMANCE COMPUTING FOR AUTOMOTIVE MARKET 15
- 1.4 CURRENCY AND PRICING 17
- 1.5 LIMITATIONS 17
- 1.6 MARKETS COVERED 18
2 MARKET SEGMENTATION 24
- 2.1 MARKETS COVERED 24
- 2.2 GEOGRAPHICAL SCOPE 25
- 2.3 YEARS CONSIDERED FOR THE STUDY 26
- 2.4 DBMR TRIPOD DATA VALIDATION MODEL 27
- 2.5 PRIMARY INTERVIEWS WITH KEY OPINION LEADERS 30
- 2.6 DBMR MARKET POSITION GRID 31
- 2.7 VENDOR SHARE ANALYSIS 32
- 2.8 MULTIVARIATE MODELING 33
- 2.9 OFFERING TIMELINE CURVE 34
- 2.10 SECONDARY SOURCES 35
- 2.11 ASSUMPTIONS 35
3 EXECUTIVE SUMMARY 36
4 PREMIUM INSIGHTS 39
- 4.1 COMPANY SHARE ANALYSIS AT COUNTRY LEVEL 42
- 4.2 COMPANY COMPARATIVE ANALYSIS 44
5 MARKET OVERVIEW 45
- 5.1 DRIVERS 47
- 5.1.1 INCREASING COMPLEXITY AND PERFORMANCE REQUIREMENTS IN THE ELECTRONIC ARCHITECTURE OF A VEHICLE 47
- 5.1.2 HIGH COMPUTING POWER REQUIRED FOR DESIGN AND TESTING OF VEHICLES 48
- 5.1.3 RISING INTEGRATION OF AI AND ML TECHNOLOGIES IN AUTOMOBILES 48
- 5.2 RESTRAINTS 49
- 5.2.1 HIGH COST OF HPC EQUIPMENTS 49
- 5.3 OPPORTUNITIES 50
- 5.3.1 HIGH-PERFORMANCE COMPUTING CAN OPTIMIZE AUTOMOTIVE MANUFACTURING PROCESSES 50
- 5.3.2 THE ADOPTION OF CLOUD-BASED HPC SOLUTIONS 50
- 5.4 CHALLENGES 52
- 5.4.1 HANDLING SENSITIVE AUTOMOTIVE DATA 52
6 GLOBAL HIGH PERFORMANCE COMPUTING FOR AUTOMOTIVE MARKET, BY OFFERING 53
- 6.1 OVERVIEW 54
- 6.2 SOLUTION 55
- 6.2.1 SERVER 56
- 6.2.2 STORAGE 56
- 6.2.3 NETWORKING DEVICE 56
- 6.3 SOFTWARE 56
- 6.4 SERVICES 57
- 6.4.1 INTEGRATION AND IMPLEMENTATION 57
- 6.4.2 SUPPORT AND MAINTENANCE 57
- 6.4.3 DESIGNING AND CONSULTING 57
7 GLOBAL HIGH PERFORMANCE COMPUTING FOR AUTOMOTIVE MARKET, BY DEPLOYMENT MODEL 58
- 7.1 OVERVIEW 59
- 7.2 ON PREMISES 60
- 7.3 CLOUD 61
8 GLOBAL HIGH PERFORMANCE COMPUTING FOR AUTOMOTIVE MARKET, BY ORGANIZATION SIZE 62
- 8.1 OVERVIEW 63
- 8.2 LARGE ENTERPRISES 64
- 8.2.1 ON PREMISES 65
- 8.2.2 CLOUD 65
- 8.3 SMALL AND MEDIUM SIZE ENTERPRISES (SMES) 65
- 8.3.1 ON PREMISES 66
- 8.3.2 CLOUD 66
9 GLOBAL HIGH PERFORMANCE COMPUTING FOR AUTOMOTIVE MARKET, BY COMPUTATION TYPE 67
- 9.1 OVERVIEW 68
- 9.2 PARALLEL COMPUTING 69
- 9.3 DISTRIBUTED COMPUTING 70
- 9.4 EXASCALE COMPUTING 70
10 GLOBAL HIGH PERFORMANCE COMPUTING FOR AUTOMOTIVE MARKET, BY PLATFORM 71
- 10.1 OVERVIEW 72
- 10.2 SAFETY & MOTION HPC 73
- 10.3 AUTONOMOUS DRIVING HPC 74
- 10.4 BODY HPC 74
- 10.5 COCKPIT HPC 75
- 10.6 CROSS-DOMAIN HPC 75
11 GLOBAL HIGH PERFORMANCE COMPUTING FOR AUTOMOTIVE MARKET, BY VEHICLE TYPE 76
- 11.1 OVERVIEW 77
- 11.2 PASSENGER CAR 78
- 11.2.1 BY TYPE 79
- 11.2.1.1 SUV 79
- 11.2.1.2 HATCHBACK 79
- 11.2.1.3 SEDAN 79
- 11.2.1.4 COUPE 79
- 11.2.1.5 SPORT CAR 79
- 11.2.1.6 CONVERTIBLE 80
- 11.2.1.7 OTHERS 80
- 11.2.2 BY OFFERING 80
- 11.2.2.1 SOLUTION 80
- 11.2.2.1.1 SERVER 81
- 11.2.2.1.2 STORAGE 81
- 11.2.2.1.3 NETWORKING DEVICE 81
- 11.2.2.2 SOFTWARE 81
- 11.2.2.3 SERVICES 81
- 11.3 LIGHT COMMERCIAL VEHICLE 81
- 11.3.1 BY TYPE 82
- 11.3.1.1 VANS 82
- 11.3.1.2 PICK UP TRUCKS 82
- 11.3.1.3 MINI BUS 82
- 11.3.1.4 TOW TRUCK 82
- 11.3.1.5 OTHER 82
- 11.3.2 BY OFFERING 82
- 11.3.2.1 SOLUTION 83
- 11.3.2.1.1 SERVER 83
- 11.3.2.1.2 STORAGE 83
- 11.3.2.1.3 NETWORKING DEVICE 83
- 11.3.2.2 SOFTWARE 84
- 11.3.2.3 SERVICES 84
- 11.4 HEAVY COMMERCIAL VEHICLE 84
- 11.4.1 BY TYPE 84
- 11.4.1.1 HEAVY TRUCK 85
- 11.4.1.1.1 SEMI-TRAILER TRUCK 85
- 11.4.1.1.2 BOX TRUCK 85
- 11.4.1.2 OTHERS 85
- 11.4.2 BY OFFERING 85
- 11.4.2.1 SOLUTION 86
- 11.4.2.1.1 SERVER 86
- 11.4.2.1.2 STORAGE 86
- 11.4.2.1.3 NETWORKING DEVICE 86
- 11.4.2.2 SOFTWARE 86
- 11.4.2.3 SERVICES 86
12 GLOBAL HIGH PERFORMANCE COMPUTING FOR AUTOMOTIVE MARKET, BY REGION 87
- 12.1 OVERVIEW 88
- 12.2 ASIA-PACIFIC 92
- 12.2.1 CHINA 92
- 12.2.2 JAPAN 92
- 12.2.3 SOUTH KOREA 92
- 12.2.4 INDIA 92
- 12.2.5 AUSTRALIA & NEW ZEALAND 92
- 12.2.6 SINGAPORE 92
- 12.2.7 TAIWAN 92
- 12.2.8 THAILAND 92
- 12.2.9 INDONESIA 93
- 12.2.10 MALAYSIA 93
- 12.2.11 PHILIPPINES 93
- 12.2.12 VIETNAM 93
- 12.2.13 REST OF ASIA-PACIFIC 93