| Product Code: ETC8964597 | Publication Date: Sep 2024 | Updated Date: Feb 2026 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Vasudha | No. of Pages: 75 | No. of Figures: 35 | No. of Tables: 20 |
In the Romania artificial intelligence chip market, the import trend experienced significant growth from 2023 to 2024, with a growth rate of 57.24%. The compound annual growth rate (CAGR) for imports from 2020 to 2024 stood at 33.41%. This surge in imports can be attributed to a notable shift in demand towards advanced AI technologies, indicating a strengthening market for AI chips in Romania during this period.

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 Romania Artificial Intelligence Chip Market Overview |
3.1 Romania Country Macro Economic Indicators |
3.2 Romania Artificial Intelligence Chip Market Revenues & Volume, 2022 & 2032F |
3.3 Romania Artificial Intelligence Chip Market - Industry Life Cycle |
3.4 Romania Artificial Intelligence Chip Market - Porter's Five Forces |
3.5 Romania Artificial Intelligence Chip Market Revenues & Volume Share, By Chip Type, 2022 & 2032F |
3.6 Romania Artificial Intelligence Chip Market Revenues & Volume Share, By Technology, 2022 & 2032F |
3.7 Romania Artificial Intelligence Chip Market Revenues & Volume Share, By Application, 2022 & 2032F |
3.8 Romania Artificial Intelligence Chip Market Revenues & Volume Share, By Industry Vertical, 2022 & 2032F |
4 Romania Artificial Intelligence Chip Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing adoption of artificial intelligence technology across various industries in Romania |
4.2.2 Government initiatives and investments in AI technology and infrastructure |
4.2.3 Growing demand for AI-driven solutions and services in Romania |
4.3 Market Restraints |
4.3.1 Lack of skilled workforce in the field of artificial intelligence |
4.3.2 High initial investment and operating costs associated with AI chip technology in Romania |
5 Romania Artificial Intelligence Chip Market Trends |
6 Romania Artificial Intelligence Chip Market, By Types |
6.1 Romania Artificial Intelligence Chip Market, By Chip Type |
6.1.1 Overview and Analysis |
6.1.2 Romania Artificial Intelligence Chip Market Revenues & Volume, By Chip Type, 2022-2032F |
6.1.3 Romania Artificial Intelligence Chip Market Revenues & Volume, By GPU, 2022-2032F |
6.1.4 Romania Artificial Intelligence Chip Market Revenues & Volume, By ASIC, 2022-2032F |
6.1.5 Romania Artificial Intelligence Chip Market Revenues & Volume, By FPGA, 2022-2032F |
6.1.6 Romania Artificial Intelligence Chip Market Revenues & Volume, By CPU, 2022-2032F |
6.1.7 Romania Artificial Intelligence Chip Market Revenues & Volume, By Others, 2022-2032F |
6.2 Romania Artificial Intelligence Chip Market, By Technology |
6.2.1 Overview and Analysis |
6.2.2 Romania Artificial Intelligence Chip Market Revenues & Volume, By System-on-Chip (SoC), 2022-2032F |
6.2.3 Romania Artificial Intelligence Chip Market Revenues & Volume, By System-In-Package (SIP), 2022-2032F |
6.2.4 Romania Artificial Intelligence Chip Market Revenues & Volume, By Multi-Chip Module, 2022-2032F |
6.2.5 Romania Artificial Intelligence Chip Market Revenues & Volume, By Others, 2022-2032F |
6.3 Romania Artificial Intelligence Chip Market, By Application |
6.3.1 Overview and Analysis |
6.3.2 Romania Artificial Intelligence Chip Market Revenues & Volume, By Natural Language Processing (NLP), 2022-2032F |
6.3.3 Romania Artificial Intelligence Chip Market Revenues & Volume, By Robotics, 2022-2032F |
6.3.4 Romania Artificial Intelligence Chip Market Revenues & Volume, By Computer Vision, 2022-2032F |
6.3.5 Romania Artificial Intelligence Chip Market Revenues & Volume, By Network Security, 2022-2032F |
6.4 Romania Artificial Intelligence Chip Market, By Industry Vertical |
6.4.1 Overview and Analysis |
6.4.2 Romania Artificial Intelligence Chip Market Revenues & Volume, By Media and Advertising, 2022-2032F |
6.4.3 Romania Artificial Intelligence Chip Market Revenues & Volume, By BFSI, 2022-2032F |
6.4.4 Romania Artificial Intelligence Chip Market Revenues & Volume, By IT and Telecom, 2022-2032F |
6.4.5 Romania Artificial Intelligence Chip Market Revenues & Volume, By Retail, 2022-2032F |
6.4.6 Romania Artificial Intelligence Chip Market Revenues & Volume, By Healthcare, 2022-2032F |
6.4.7 Romania Artificial Intelligence Chip Market Revenues & Volume, By Automotive and Transportation, 2022-2032F |
7 Romania Artificial Intelligence Chip Market Import-Export Trade Statistics |
7.1 Romania Artificial Intelligence Chip Market Export to Major Countries |
7.2 Romania Artificial Intelligence Chip Market Imports from Major Countries |
8 Romania Artificial Intelligence Chip Market Key Performance Indicators |
8.1 Number of AI chip installations in Romania |
8.2 Percentage increase in AI-related job openings in the country |
8.3 Growth rate of AI startups and companies specializing in AI technology in Romania |
9 Romania Artificial Intelligence Chip Market - Opportunity Assessment |
9.1 Romania Artificial Intelligence Chip Market Opportunity Assessment, By Chip Type, 2022 & 2032F |
9.2 Romania Artificial Intelligence Chip Market Opportunity Assessment, By Technology, 2022 & 2032F |
9.3 Romania Artificial Intelligence Chip Market Opportunity Assessment, By Application, 2022 & 2032F |
9.4 Romania Artificial Intelligence Chip Market Opportunity Assessment, By Industry Vertical, 2022 & 2032F |
10 Romania Artificial Intelligence Chip Market - Competitive Landscape |
10.1 Romania Artificial Intelligence Chip Market Revenue Share, By Companies, 2025 |
10.2 Romania Artificial Intelligence Chip 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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