| Product Code: ETC12599554 | Publication Date: Apr 2025 | Updated Date: Oct 2025 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Sachin Kumar Rai | No. of Pages: 65 | No. of Figures: 34 | No. of Tables: 19 |
In 2024, Belgium continued to rely heavily on imports of machine learning chips, with the top exporting countries being Netherlands, Germany, Japan, Taiwan, Province of China, and China. The market remained highly concentrated, with a high Herfindahl-Hirschman Index (HHI). However, the compound annual growth rate (CAGR) from 2020 to 2024 showed a decline of -21.9%, indicating a challenging period for the market. Additionally, the growth rate from 2023 to 2024 experienced a sharp decrease of -28.37%, highlighting potential shifts in demand or market dynamics impacting the import shipments of machine learning chips in Belgium.

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 Belgium Machine Learning Chip Market Overview |
3.1 Belgium Country Macro Economic Indicators |
3.2 Belgium Machine Learning Chip Market Revenues & Volume, 2021 & 2031F |
3.3 Belgium Machine Learning Chip Market - Industry Life Cycle |
3.4 Belgium Machine Learning Chip Market - Porter's Five Forces |
3.5 Belgium Machine Learning Chip Market Revenues & Volume Share, By Chip Type, 2021 & 2031F |
3.6 Belgium Machine Learning Chip Market Revenues & Volume Share, By Technology, 2021 & 2031F |
3.7 Belgium Machine Learning Chip Market Revenues & Volume Share, By Application, 2021 & 2031F |
3.8 Belgium Machine Learning Chip Market Revenues & Volume Share, By End User, 2021 & 2031F |
4 Belgium Machine Learning Chip Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing demand for artificial intelligence applications in various industries driving the adoption of machine learning chips. |
4.2.2 Technological advancements leading to improved performance and efficiency of machine learning chips. |
4.2.3 Government initiatives and investments in promoting research and development in machine learning technologies. |
4.3 Market Restraints |
4.3.1 High initial investment required for developing and implementing machine learning chip technologies. |
4.3.2 Concerns regarding data privacy and security hindering the adoption of machine learning chips. |
4.3.3 Lack of skilled workforce in the field of machine learning impacting the market growth. |
5 Belgium Machine Learning Chip Market Trends |
6 Belgium Machine Learning Chip Market, By Types |
6.1 Belgium Machine Learning Chip Market, By Chip Type |
6.1.1 Overview and Analysis |
6.1.2 Belgium Machine Learning Chip Market Revenues & Volume, By Chip Type, 2021 - 2031F |
6.1.3 Belgium Machine Learning Chip Market Revenues & Volume, By GPU, 2021 - 2031F |
6.1.4 Belgium Machine Learning Chip Market Revenues & Volume, By ASIC, 2021 - 2031F |
6.1.5 Belgium Machine Learning Chip Market Revenues & Volume, By FPGA, 2021 - 2031F |
6.1.6 Belgium Machine Learning Chip Market Revenues & Volume, By CPU, 2021 - 2031F |
6.2 Belgium Machine Learning Chip Market, By Technology |
6.2.1 Overview and Analysis |
6.2.2 Belgium Machine Learning Chip Market Revenues & Volume, By Edge AI, 2021 - 2031F |
6.2.3 Belgium Machine Learning Chip Market Revenues & Volume, By Cloud AI, 2021 - 2031F |
6.2.4 Belgium Machine Learning Chip Market Revenues & Volume, By Embedded AI, 2021 - 2031F |
6.3 Belgium Machine Learning Chip Market, By Application |
6.3.1 Overview and Analysis |
6.3.2 Belgium Machine Learning Chip Market Revenues & Volume, By Image Processing, 2021 - 2031F |
6.3.3 Belgium Machine Learning Chip Market Revenues & Volume, By Autonomous Driving, 2021 - 2031F |
6.3.4 Belgium Machine Learning Chip Market Revenues & Volume, By Robotics, 2021 - 2031F |
6.3.5 Belgium Machine Learning Chip Market Revenues & Volume, By Smart Assistants, 2021 - 2031F |
6.4 Belgium Machine Learning Chip Market, By End User |
6.4.1 Overview and Analysis |
6.4.2 Belgium Machine Learning Chip Market Revenues & Volume, By IT & Telecom, 2021 - 2031F |
6.4.3 Belgium Machine Learning Chip Market Revenues & Volume, By Automotive, 2021 - 2031F |
6.4.4 Belgium Machine Learning Chip Market Revenues & Volume, By Industrial, 2021 - 2031F |
6.4.5 Belgium Machine Learning Chip Market Revenues & Volume, By Consumer Electronics, 2021 - 2031F |
7 Belgium Machine Learning Chip Market Import-Export Trade Statistics |
7.1 Belgium Machine Learning Chip Market Export to Major Countries |
7.2 Belgium Machine Learning Chip Market Imports from Major Countries |
8 Belgium Machine Learning Chip Market Key Performance Indicators |
8.1 Average power consumption per chip unit. |
8.2 Chip processing speed and efficiency. |
8.3 Rate of adoption of machine learning chips in key industries. |
9 Belgium Machine Learning Chip Market - Opportunity Assessment |
9.1 Belgium Machine Learning Chip Market Opportunity Assessment, By Chip Type, 2021 & 2031F |
9.2 Belgium Machine Learning Chip Market Opportunity Assessment, By Technology, 2021 & 2031F |
9.3 Belgium Machine Learning Chip Market Opportunity Assessment, By Application, 2021 & 2031F |
9.4 Belgium Machine Learning Chip Market Opportunity Assessment, By End User, 2021 & 2031F |
10 Belgium Machine Learning Chip Market - Competitive Landscape |
10.1 Belgium Machine Learning Chip Market Revenue Share, By Companies, 2024 |
10.2 Belgium Machine 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.
To discover high-growth global markets and optimize your business strategy:
Click Here