| Product Code: ETC7498538 | Publication Date: Sep 2024 | Updated Date: Jan 2026 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Sumit Sagar | No. of Pages: 75 | No. of Figures: 35 | No. of Tables: 20 |
In 2024, Hungary`s import trend for discrete graphics microprocessors and graphic processing units (GPUs) experienced a notable decline of -34.07% compared to 2023. However, the compound annual growth rate (CAGR) for the period 2020-2024 stood at 7.52%. This decrease in import momentum could be attributed to shifts in demand dynamics or changes in market stability within the industry.

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 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) Market Overview |
3.1 Hungary Country Macro Economic Indicators |
3.2 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) Market Revenues & Volume, 2021 & 2031F |
3.3 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) Market - Industry Life Cycle |
3.4 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) Market - Porter's Five Forces |
3.5 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) Market Revenues & Volume Share, By Architecture, 2021 & 2031F |
3.6 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) Market Revenues & Volume Share, By Functionality, 2021 & 2031F |
3.7 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) Market Revenues & Volume Share, By Deployment, 2021 & 2031F |
3.8 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) Market Revenues & Volume Share, By Application, 2021 & 2031F |
4 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing demand for high-performance computing in gaming and virtual reality applications |
4.2.2 Growth in artificial intelligence and machine learning technologies requiring powerful GPUs |
4.2.3 Rising adoption of graphics-intensive applications in industries such as automotive and healthcare |
4.3 Market Restraints |
4.3.1 High costs associated with discrete graphics microprocessors and GPUs |
4.3.2 Limited availability of skilled professionals to utilize advanced graphics technologies effectively |
5 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) Market Trends |
6 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) Market, By Types |
6.1 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) Market, By Architecture |
6.1.1 Overview and Analysis |
6.1.2 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) Market Revenues & Volume, By Architecture, 2021- 2031F |
6.1.3 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) Market Revenues & Volume, By X86, 2021- 2031F |
6.1.4 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) Market Revenues & Volume, By Arm, 2021- 2031F |
6.1.5 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) Market Revenues & Volume, By Sparc, 2021- 2031F |
6.1.6 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) Market Revenues & Volume, By Others, 2021- 2031F |
6.2 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) Market, By Functionality |
6.2.1 Overview and Analysis |
6.2.2 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) Market Revenues & Volume, By Real-Time Systems, 2021- 2031F |
6.2.3 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) Market Revenues & Volume, By Standalone Systems, 2021- 2031F |
6.3 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) Market, By Deployment |
6.3.1 Overview and Analysis |
6.3.2 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) Market Revenues & Volume, By On-Cloud Graphics Processing Unit, 2021- 2031F |
6.3.3 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) Market Revenues & Volume, By On-Premise Graphics Processing Unit, 2021- 2031F |
6.4 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) Market, By Application |
6.4.1 Overview and Analysis |
6.4.2 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) Market Revenues & Volume, By Consumer Electronics, 2021- 2031F |
6.4.3 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) Market Revenues & Volume, By Servers and Data Centers, 2021- 2031F |
6.4.4 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) Market Revenues & Volume, By Automotive, 2021- 2031F |
6.4.5 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) Market Revenues & Volume, By Banking, Financial Services and Insurance (BFSI), 2021- 2031F |
6.4.6 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) Market Revenues & Volume, By Healthcare, 2021- 2031F |
6.4.7 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) Market Revenues & Volume, By Aerospace and Defense, 2021- 2031F |
6.4.8 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) Market Revenues & Volume, By Others, 2021- 2031F |
6.4.9 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) Market Revenues & Volume, By Others, 2021- 2031F |
7 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) Market Import-Export Trade Statistics |
7.1 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) Market Export to Major Countries |
7.2 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) Market Imports from Major Countries |
8 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) Market Key Performance Indicators |
8.1 Average selling price (ASP) of discrete graphics microprocessors and GPUs |
8.2 Number of new product launches and technological advancements in the market |
8.3 Adoption rate of graphics-intensive applications in key industries |
9 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) Market - Opportunity Assessment |
9.1 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) Market Opportunity Assessment, By Architecture, 2021 & 2031F |
9.2 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) Market Opportunity Assessment, By Functionality, 2021 & 2031F |
9.3 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) Market Opportunity Assessment, By Deployment, 2021 & 2031F |
9.4 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) Market Opportunity Assessment, By Application, 2021 & 2031F |
10 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) Market - Competitive Landscape |
10.1 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) Market Revenue Share, By Companies, 2024 |
10.2 Hungary Discrete Graphics Microprocessor and Graphic Processing Unit (GPU) 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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