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