The Asia-Pacific high performance computing for automotive market is expected to reach USD 3,698,396.46 thousand by 2030 from USD 1,494,915.02 thousand in 2022 growing with a CAGR of 12.3% in the forecast period of 2023 to 2030.
Market Segmentation
Asia-Pacific 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 Asia-Pacific 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 Asia-Pacific 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.
Vector Informatik GmbH
MiTAC Computing Technology Corporation
Rescale, Inc.
TABLE OF CONTENTS
1 INTRODUCTION 14
1.1 OBJECTIVES OF THE STUDY 14
1.2 MARKET DEFINITION 14
1.3 OVERVIEW OF ASIA-PACIFIC HIGH PERFORMANCE COMPUTING FOR AUTOMOTIVE MARKET 14
1.4 CURRENCY AND PRICING 16
1.5 LIMITATIONS 16
1.6 MARKETS COVERED 17
2 MARKET SEGMENTATION 23
2.1 MARKETS COVERED 23
2.2 GEOGRAPHICAL SCOPE 24
2.3 YEARS CONSIDERED FOR THE STUDY 25
2.4 DBMR TRIPOD DATA VALIDATION MODEL 26
2.5 PRIMARY INTERVIEWS WITH KEY OPINION LEADERS 29
2.6 DBMR MARKET POSITION GRID 30
2.7 VENDOR SHARE ANALYSIS 31
2.8 MULTIVARIATE MODELING 32
2.9 OFFERING TIMELINE CURVE 33
2.10 SECONDARY SOURCES 34
2.11 ASSUMPTIONS 34
3 EXECUTIVE SUMMARY 35
4 PREMIUM INSIGHTS 38
4.1 COMPANY SHARE ANALYSIS AT COUNTRY LEVEL 39
4.2 COMPANY COMPARATIVE ANALYSIS 41
5 MARKET OVERVIEW 42
5.1 DRIVERS 44
5.1.1 INCREASING COMPLEXITY AND PERFORMANCE REQUIREMENTS IN THE ELECTRONIC ARCHITECTURE OF A VEHICLE 44
5.1.2 HIGH COMPUTING POWER REQUIRED FOR DESIGN AND TESTING OF VEHICLES 45
5.1.3 RISING INTEGRATION OF AI AND ML TECHNOLOGIES IN AUTOMOBILES 45
5.2 RESTRAINTS 46
5.2.1 HIGH COST OF HPC EQUIPMENTS 46
5.3 OPPORTUNITIES 47
5.3.1 HIGH-PERFORMANCE COMPUTING CAN OPTIMIZE AUTOMOTIVE MANUFACTURING PROCESSES 47
5.3.2 THE ADOPTION OF CLOUD-BASED HPC SOLUTIONS 47
5.4 CHALLENGES 49
5.4.1 HANDLING SENSITIVE AUTOMOTIVE DATA 49
6 ASIA-PACIFIC HIGH PERFORMANCE COMPUTING FOR AUTOMOTIVE MARKET, BY OFFERING 50
6.1 OVERVIEW 51
6.2 SOLUTION 52
6.2.1 SERVER 53
6.2.2 STORAGE 53
6.2.3 NETWORKING DEVICE 53
6.3 SOFTWARE 53
6.4 SERVICES 54
6.4.1 INTEGRATION AND IMPLEMENTATION 54
6.4.2 SUPPORT AND MAINTENANCE 54
6.4.3 DESIGNING AND CONSULTING 54
7 ASIA-PACIFIC HIGH PERFORMANCE COMPUTING FOR AUTOMOTIVE MARKET, BY DEPLOYMENT MODEL 55
7.1 OVERVIEW 56
7.2 ON PREMISES 57
7.3 CLOUD 58
8 ASIA-PACIFIC HIGH PERFORMANCE COMPUTING FOR AUTOMOTIVE MARKET, BY ORGANIZATION SIZE 59
8.1 OVERVIEW 60
8.2 LARGE ENTERPRISES 61
8.2.1 ON PREMISES 62
8.2.2 CLOUD 62
8.3 SMALL AND MEDIUM SIZE ENTERPRISES (SMES) 62
8.3.1 ON PREMISES 63
8.3.2 CLOUD 63
9 ASIA-PACIFIC HIGH PERFORMANCE COMPUTING FOR AUTOMOTIVE MARKET, BY COMPUTATION TYPE 64
9.1 OVERVIEW 65
9.2 PARALLEL COMPUTING 66
9.3 DISTRIBUTED COMPUTING 67
9.4 EXASCALE COMPUTING 67
10 ASIA-PACIFIC HIGH PERFORMANCE COMPUTING FOR AUTOMOTIVE MARKET, BY PLATFORM 68
10.1 OVERVIEW 69
10.2 SAFETY & MOTION HPC 70
10.3 AUTONOMOUS DRIVING HPC 71
10.4 BODY HPC 71
10.5 COCKPIT HPC 72
10.6 CROSS-DOMAIN HPC 72
11 ASIA-PACIFIC HIGH PERFORMANCE COMPUTING FOR AUTOMOTIVE MARKET, BY VEHICLE TYPE 73
11.1 OVERVIEW 74
11.2 PASSENGER CAR 75
11.2.1 BY TYPE 76
11.2.1.1 SUV 76
11.2.1.2 HATCHBACK 76
11.2.1.3 SEDAN 76
11.2.1.4 COUPE 76
11.2.1.5 SPORT CAR 76
11.2.1.6 CONVERTIBLE 77
11.2.1.7 OTHERS 77
11.2.2 BY OFFERING 77
11.2.2.1 SOLUTION 77
11.2.2.1.1 SERVER 78
11.2.2.1.2 STORAGE 78
11.2.2.1.3 NETWORKING DEVICE 78
11.2.2.2 SOFTWARE 78
11.2.2.3 SERVICES 78
11.3 LIGHT COMMERCIAL VEHICLE 78
11.3.1 BY TYPE 79
11.3.1.1 VANS 79
11.3.1.2 PICK UP TRUCKS 79
11.3.1.3 MINI BUS 79
11.3.1.4 TOW TRUCK 79
11.3.1.5 OTHER 79
11.3.2 BY OFFERING 79
11.3.2.1 SOLUTION 80
11.3.2.1.1 SERVER 80
11.3.2.1.2 STORAGE 80
11.3.2.1.3 NETWORKING DEVICE 80
11.3.2.2 SOFTWARE 81
11.3.2.3 SERVICES 81
11.4 HEAVY COMMERCIAL VEHICLE 81
11.4.1 BY TYPE 81
11.4.1.1 HEAVY TRUCK 82
11.4.1.1.1 SEMI-TRAILER TRUCK 82
11.4.1.1.2 BOX TRUCK 82
11.4.1.2 OTHERS 82
11.4.2 BY OFFERING 82
11.4.2.1 SOLUTION 83
11.4.2.1.1 SERVER 83
11.4.2.1.2 STORAGE 83
11.4.2.1.3 NETWORKING DEVICE 83
11.4.2.2 SOFTWARE 83
11.4.2.3 SERVICES 83
12 ASIA-PACIFIC HIGH PERFORMANCE COMPUTING FOR AUTOMOTIVE MARKET, BY REGION 84
12.1 ASIA-PACIFIC 85
12.1.1 CHINA 85
12.1.2 JAPAN 85
12.1.3 SOUTH KOREA 85
12.1.4 INDIA 85
12.1.5 AUSTRALIA & NEW ZEALAND 85
12.1.6 SINGAPORE 85
12.1.7 TAIWAN 85
12.1.8 THAILAND 85
12.1.9 INDONESIA 86
12.1.10 MALAYSIA 86
12.1.11 PHILIPPINES 86
12.1.12 VIETNAM 86
12.1.13 REST OF ASIA-PACIFIC 86