| Product Code: ETC7631729 | Publication Date: Sep 2024 | Updated Date: Nov 2025 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Dhaval Chaurasia | No. of Pages: 75 | No. of Figures: 35 | No. of Tables: 20 |
The high performance computing sector in Ireland for automotive import shipments showed promising growth in 2024, with a significant increase in the number of imports from countries such as Hungary, Poland, USA, Netherlands, and Czechia. The market concentration, as measured by the HHI, shifted from high to moderate in 2024, indicating a more balanced market landscape. Despite a slight decline in the CAGR from 2020 to 2024, the impressive growth rate of 34.61% from 2023 to 2024 suggests a positive momentum in the industry, potentially leading to further expansion and innovation in the coming years.

1 Executive Summary |
2 Introduction |
2.1 Key Highlights of the Report |
2.2 Report Description |
2.3 Market Scope & Segmentation |
2.4 Research Methodology |
2.5 Assumptions |
3 Ireland High Performance Computing for Automotive Market Overview |
3.1 Ireland Country Macro Economic Indicators |
3.2 Ireland High Performance Computing for Automotive Market Revenues & Volume, 2021 & 2031F |
3.3 Ireland High Performance Computing for Automotive Market - Industry Life Cycle |
3.4 Ireland High Performance Computing for Automotive Market - Porter's Five Forces |
3.5 Ireland High Performance Computing for Automotive Market Revenues & Volume Share, By Offering, 2021 & 2031F |
3.6 Ireland High Performance Computing for Automotive Market Revenues & Volume Share, By Deployment Model, 2021 & 2031F |
3.7 Ireland High Performance Computing for Automotive Market Revenues & Volume Share, By Organization Size, 2021 & 2031F |
3.8 Ireland High Performance Computing for Automotive Market Revenues & Volume Share, By Computation Type, 2021 & 2031F |
4 Ireland High Performance Computing for Automotive Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing demand for advanced simulation and modeling in automotive design and engineering. |
4.2.2 Growing focus on autonomous vehicles and electric vehicles requiring high computing power. |
4.2.3 Government initiatives and investments in promoting high-performance computing technology in Ireland. |
4.3 Market Restraints |
4.3.1 High initial investment and operating costs associated with high-performance computing systems. |
4.3.2 Limited availability of skilled professionals in the field of high-performance computing for automotive applications. |
5 Ireland High Performance Computing for Automotive Market Trends |
6 Ireland High Performance Computing for Automotive Market, By Types |
6.1 Ireland High Performance Computing for Automotive Market, By Offering |
6.1.1 Overview and Analysis |
6.1.2 Ireland High Performance Computing for Automotive Market Revenues & Volume, By Offering, 2021- 2031F |
6.1.3 Ireland High Performance Computing for Automotive Market Revenues & Volume, By Solution, 2021- 2031F |
6.1.4 Ireland High Performance Computing for Automotive Market Revenues & Volume, By Software, 2021- 2031F |
6.1.5 Ireland High Performance Computing for Automotive Market Revenues & Volume, By Services, 2021- 2031F |
6.2 Ireland High Performance Computing for Automotive Market, By Deployment Model |
6.2.1 Overview and Analysis |
6.2.2 Ireland High Performance Computing for Automotive Market Revenues & Volume, By On Premises, 2021- 2031F |
6.2.3 Ireland High Performance Computing for Automotive Market Revenues & Volume, By Cloud, 2021- 2031F |
6.3 Ireland High Performance Computing for Automotive Market, By Organization Size |
6.3.1 Overview and Analysis |
6.3.2 Ireland High Performance Computing for Automotive Market Revenues & Volume, By Large Enterprises, 2021- 2031F |
6.3.3 Ireland High Performance Computing for Automotive Market Revenues & Volume, By Small and Medium Size Enterprises (SMES), 2021- 2031F |
6.4 Ireland High Performance Computing for Automotive Market, By Computation Type |
6.4.1 Overview and Analysis |
6.4.2 Ireland High Performance Computing for Automotive Market Revenues & Volume, By Parallel Computing, 2021- 2031F |
6.4.3 Ireland High Performance Computing for Automotive Market Revenues & Volume, By Distributed Computing, 2021- 2031F |
6.4.4 Ireland High Performance Computing for Automotive Market Revenues & Volume, By Exascale Computing, 2021- 2031F |
7 Ireland High Performance Computing for Automotive Market Import-Export Trade Statistics |
7.1 Ireland High Performance Computing for Automotive Market Export to Major Countries |
7.2 Ireland High Performance Computing for Automotive Market Imports from Major Countries |
8 Ireland High Performance Computing for Automotive Market Key Performance Indicators |
8.1 Average processing power per unit cost. |
8.2 Percentage increase in automotive companies adopting high-performance computing solutions. |
8.3 Number of research and development collaborations between high-performance computing providers and automotive companies. |
8.4 Average time reduction in automotive design and engineering processes using high-performance computing technology. |
9 Ireland High Performance Computing for Automotive Market - Opportunity Assessment |
9.1 Ireland High Performance Computing for Automotive Market Opportunity Assessment, By Offering, 2021 & 2031F |
9.2 Ireland High Performance Computing for Automotive Market Opportunity Assessment, By Deployment Model, 2021 & 2031F |
9.3 Ireland High Performance Computing for Automotive Market Opportunity Assessment, By Organization Size, 2021 & 2031F |
9.4 Ireland High Performance Computing for Automotive Market Opportunity Assessment, By Computation Type, 2021 & 2031F |
10 Ireland High Performance Computing for Automotive Market - Competitive Landscape |
10.1 Ireland High Performance Computing for Automotive Market Revenue Share, By Companies, 2024 |
10.2 Ireland High Performance Computing for Automotive Market Competitive Benchmarking, By Operating and Technical Parameters |
11 Company Profiles |
12 Recommendations |
13 Disclaimer |
Export potential enables firms to identify high-growth global markets with greater confidence by combining advanced trade intelligence with a structured quantitative methodology. The framework analyzes emerging demand trends and country-level import patterns while integrating macroeconomic and trade datasets such as GDP and population forecasts, bilateral import–export flows, tariff structures, elasticity differentials between developed and developing economies, geographic distance, and import demand projections. Using weighted trade values from 2020–2024 as the base period to project country-to-country export potential for 2030, these inputs are operationalized through calculated drivers such as gravity model parameters, tariff impact factors, and projected GDP per-capita growth. Through an analysis of hidden potentials, demand hotspots, and market conditions that are most favorable to success, this method enables firms to focus on target countries, maximize returns, and global expansion with data, backed by accuracy.
By factoring in the projected importer demand gap that is currently unmet and could be potential opportunity, it identifies the potential for the Exporter (Country) among 190 countries, against the general trade analysis, which identifies the biggest importer or exporter.
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