| Product Code: ETC4468036 | Publication Date: Jul 2023 | Updated Date: Feb 2026 | Product Type: Report | |
| Publisher: 6Wresearch | Author: Ravi Bhandari | No. of Pages: 85 | No. of Figures: 45 | No. of Tables: 25 |
In the Poland artificial intelligence (chipsets) market, the import trend showed significant growth from 2023 to 2024, increasing by 21.51%. The compound annual growth rate (CAGR) for imports between 2020 and 2024 stood at 5.33%. This uptrend may be attributed to a surge in demand for advanced AI technologies in various sectors, driving import momentum in the market.

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 Poland Artificial Intelligence (Chipsets) Market Overview |
3.1 Poland Country Macro Economic Indicators |
3.2 Poland Artificial Intelligence (Chipsets) Market Revenues & Volume, 2021 & 2031F |
3.3 Poland Artificial Intelligence (Chipsets) Market - Industry Life Cycle |
3.4 Poland Artificial Intelligence (Chipsets) Market - Porter's Five Forces |
3.5 Poland Artificial Intelligence (Chipsets) Market Revenues & Volume Share, By Product, 2021 & 2031F |
3.6 Poland Artificial Intelligence (Chipsets) Market Revenues & Volume Share, By Technology, 2021 & 2031F |
3.7 Poland Artificial Intelligence (Chipsets) Market Revenues & Volume Share, By Processing Type, 2021 & 2031F |
3.8 Poland Artificial Intelligence (Chipsets) Market Revenues & Volume Share, By Industry Vertical, 2021 & 2031F |
4 Poland Artificial Intelligence (Chipsets) Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing demand for AI-enabled devices and applications in Poland |
4.2.2 Growing investments in research and development for AI technologies |
4.2.3 Government initiatives and policies supporting the development of the AI industry in Poland |
4.3 Market Restraints |
4.3.1 Lack of skilled workforce in AI technology in Poland |
4.3.2 High initial costs associated with implementing AI chipsets |
4.3.3 Data privacy and security concerns hindering the adoption of AI technologies |
5 Poland Artificial Intelligence (Chipsets) Market Trends |
6 Poland Artificial Intelligence (Chipsets) Market, By Types |
6.1 Poland Artificial Intelligence (Chipsets) Market, By Product |
6.1.1 Overview and Analysis |
6.1.2 Poland Artificial Intelligence (Chipsets) Market Revenues & Volume, By Product, 2021 - 2031F |
6.1.3 Poland Artificial Intelligence (Chipsets) Market Revenues & Volume, By GPU, 2021 - 2031F |
6.1.4 Poland Artificial Intelligence (Chipsets) Market Revenues & Volume, By ASIC, 2021 - 2031F |
6.1.5 Poland Artificial Intelligence (Chipsets) Market Revenues & Volume, By FPGA, 2021 - 2031F |
6.1.6 Poland Artificial Intelligence (Chipsets) Market Revenues & Volume, By CPU, 2021 - 2031F |
6.2 Poland Artificial Intelligence (Chipsets) Market, By Technology |
6.2.1 Overview and Analysis |
6.2.2 Poland Artificial Intelligence (Chipsets) Market Revenues & Volume, By NLP, 2021 - 2031F |
6.2.3 Poland Artificial Intelligence (Chipsets) Market Revenues & Volume, By RPA, 2021 - 2031F |
6.2.4 Poland Artificial Intelligence (Chipsets) Market Revenues & Volume, By Computer vision, 2021 - 2031F |
6.2.5 Poland Artificial Intelligence (Chipsets) Market Revenues & Volume, By Network Security, 2021 - 2031F |
6.2.6 Poland Artificial Intelligence (Chipsets) Market Revenues & Volume, By Others, 2021 - 2031F |
6.3 Poland Artificial Intelligence (Chipsets) Market, By Processing Type |
6.3.1 Overview and Analysis |
6.3.2 Poland Artificial Intelligence (Chipsets) Market Revenues & Volume, By Edge, 2021 - 2031F |
6.3.3 Poland Artificial Intelligence (Chipsets) Market Revenues & Volume, By Cloud, 2021 - 2031F |
6.4 Poland Artificial Intelligence (Chipsets) Market, By Industry Vertical |
6.4.1 Overview and Analysis |
6.4.2 Poland Artificial Intelligence (Chipsets) Market Revenues & Volume, By Consumer electronics, 2021 - 2031F |
6.4.3 Poland Artificial Intelligence (Chipsets) Market Revenues & Volume, By Media & Advertising, 2021 - 2031F |
6.4.4 Poland Artificial Intelligence (Chipsets) Market Revenues & Volume, By BFSI, 2021 - 2031F |
6.4.5 Poland Artificial Intelligence (Chipsets) Market Revenues & Volume, By IT & Telecom, 2021 - 2031F |
6.4.6 Poland Artificial Intelligence (Chipsets) Market Revenues & Volume, By Retail, 2021 - 2031F |
6.4.7 Poland Artificial Intelligence (Chipsets) Market Revenues & Volume, By Healthcare, 2021 - 2031F |
6.4.8 Poland Artificial Intelligence (Chipsets) Market Revenues & Volume, By Others, 2021 - 2031F |
6.4.9 Poland Artificial Intelligence (Chipsets) Market Revenues & Volume, By Others, 2021 - 2031F |
7 Poland Artificial Intelligence (Chipsets) Market Import-Export Trade Statistics |
7.1 Poland Artificial Intelligence (Chipsets) Market Export to Major Countries |
7.2 Poland Artificial Intelligence (Chipsets) Market Imports from Major Countries |
8 Poland Artificial Intelligence (Chipsets) Market Key Performance Indicators |
8.1 Number of AI-related patents filed in Poland |
8.2 Percentage of companies in Poland investing in AI technology |
8.3 Rate of adoption of AI chipsets in various industries in Poland |
9 Poland Artificial Intelligence (Chipsets) Market - Opportunity Assessment |
9.1 Poland Artificial Intelligence (Chipsets) Market Opportunity Assessment, By Product, 2021 & 2031F |
9.2 Poland Artificial Intelligence (Chipsets) Market Opportunity Assessment, By Technology, 2021 & 2031F |
9.3 Poland Artificial Intelligence (Chipsets) Market Opportunity Assessment, By Processing Type, 2021 & 2031F |
9.4 Poland Artificial Intelligence (Chipsets) Market Opportunity Assessment, By Industry Vertical, 2021 & 2031F |
10 Poland Artificial Intelligence (Chipsets) Market - Competitive Landscape |
10.1 Poland Artificial Intelligence (Chipsets) Market Revenue Share, By Companies, 2024 |
10.2 Poland Artificial Intelligence (Chipsets) 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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