| Product Code: ETC11969131 | Publication Date: Apr 2025 | Updated Date: Nov 2025 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Sachin Kumar Rai | No. of Pages: 65 | No. of Figures: 34 | No. of Tables: 19 |
The import shipments of deep learning chips to Sweden have seen significant growth, with a CAGR of 17.6% from 2020 to 2024. In 2024, the top exporting countries to Sweden include Germany, Czechia, Malaysia, USA, and Denmark. The market concentration, as measured by the HHI, has transitioned from very low in 2023 to high in 2024, indicating a shift in market dynamics. The growth rate from 2023 to 2024 is impressive at 9.75%, reflecting the increasing demand for deep learning chips in Sweden.
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 Sweden Deep Learning Chip Market Overview |
3.1 Sweden Country Macro Economic Indicators |
3.2 Sweden Deep Learning Chip Market Revenues & Volume, 2021 & 2031F |
3.3 Sweden Deep Learning Chip Market - Industry Life Cycle |
3.4 Sweden Deep Learning Chip Market - Porter's Five Forces |
3.5 Sweden Deep Learning Chip Market Revenues & Volume Share, By Type, 2021 & 2031F |
3.6 Sweden Deep Learning Chip Market Revenues & Volume Share, By Application, 2021 & 2031F |
3.7 Sweden Deep Learning Chip Market Revenues & Volume Share, By Industry, 2021 & 2031F |
3.8 Sweden Deep Learning Chip Market Revenues & Volume Share, By Technology, 2021 & 2031F |
4 Sweden Deep Learning Chip Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.3 Market Restraints |
5 Sweden Deep Learning Chip Market Trends |
6 Sweden Deep Learning Chip Market, By Types |
6.1 Sweden Deep Learning Chip Market, By Type |
6.1.1 Overview and Analysis |
6.1.2 Sweden Deep Learning Chip Market Revenues & Volume, By Type, 2021 - 2031F |
6.1.3 Sweden Deep Learning Chip Market Revenues & Volume, By GPU, 2021 - 2031F |
6.1.4 Sweden Deep Learning Chip Market Revenues & Volume, By FPGA, 2021 - 2031F |
6.1.5 Sweden Deep Learning Chip Market Revenues & Volume, By ASIC, 2021 - 2031F |
6.1.6 Sweden Deep Learning Chip Market Revenues & Volume, By CPU, 2021 - 2031F |
6.2 Sweden Deep Learning Chip Market, By Application |
6.2.1 Overview and Analysis |
6.2.2 Sweden Deep Learning Chip Market Revenues & Volume, By AI, 2021 - 2031F |
6.2.3 Sweden Deep Learning Chip Market Revenues & Volume, By Robotics, 2021 - 2031F |
6.2.4 Sweden Deep Learning Chip Market Revenues & Volume, By Data Centers, 2021 - 2031F |
6.2.5 Sweden Deep Learning Chip Market Revenues & Volume, By Autonomous Vehicles, 2021 - 2031F |
6.3 Sweden Deep Learning Chip Market, By Industry |
6.3.1 Overview and Analysis |
6.3.2 Sweden Deep Learning Chip Market Revenues & Volume, By Healthcare, 2021 - 2031F |
6.3.3 Sweden Deep Learning Chip Market Revenues & Volume, By IT, 2021 - 2031F |
6.3.4 Sweden Deep Learning Chip Market Revenues & Volume, By Automotive, 2021 - 2031F |
6.3.5 Sweden Deep Learning Chip Market Revenues & Volume, By Retail, 2021 - 2031F |
6.4 Sweden Deep Learning Chip Market, By Technology |
6.4.1 Overview and Analysis |
6.4.2 Sweden Deep Learning Chip Market Revenues & Volume, By Cloud-Based, 2021 - 2031F |
6.4.3 Sweden Deep Learning Chip Market Revenues & Volume, By Edge-Based, 2021 - 2031F |
7 Sweden Deep Learning Chip Market Import-Export Trade Statistics |
7.1 Sweden Deep Learning Chip Market Export to Major Countries |
7.2 Sweden Deep Learning Chip Market Imports from Major Countries |
8 Sweden Deep Learning Chip Market Key Performance Indicators |
9 Sweden Deep Learning Chip Market - Opportunity Assessment |
9.1 Sweden Deep Learning Chip Market Opportunity Assessment, By Type, 2021 & 2031F |
9.2 Sweden Deep Learning Chip Market Opportunity Assessment, By Application, 2021 & 2031F |
9.3 Sweden Deep Learning Chip Market Opportunity Assessment, By Industry, 2021 & 2031F |
9.4 Sweden Deep Learning Chip Market Opportunity Assessment, By Technology, 2021 & 2031F |
10 Sweden Deep Learning Chip Market - Competitive Landscape |
10.1 Sweden Deep Learning Chip Market Revenue Share, By Companies, 2024 |
10.2 Sweden Deep Learning 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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