| Product Code: ETC5626803 | Publication Date: Nov 2023 | Updated Date: Dec 2025 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Ravi Bhandari | No. of Pages: 60 | No. of Figures: 30 | No. of Tables: 5 |
Zambia`s import of artificial intelligence chipsets in 2024 saw a significant increase in concentration, with South Africa, Netherlands, China, Mauritius, and the United Arab Emirates emerging as the top exporting countries. The industry experienced a remarkable growth rate of 82.81% in 2024, contributing to a strong compound annual growth rate of 12.83% from 2020 to 2024. This data indicates a growing demand for AI technology in Zambia, with key players dominating the market and driving the sector`s expansion.

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 Zambia Artificial Intelligence (Chipsets) Market Overview |
3.1 Zambia Country Macro Economic Indicators |
3.2 Zambia Artificial Intelligence (Chipsets) Market Revenues & Volume, 2021 & 2031F |
3.3 Zambia Artificial Intelligence (Chipsets) Market - Industry Life Cycle |
3.4 Zambia Artificial Intelligence (Chipsets) Market - Porter's Five Forces |
3.5 Zambia Artificial Intelligence (Chipsets) Market Revenues & Volume Share, By Product, 2021 & 2031F |
3.6 Zambia Artificial Intelligence (Chipsets) Market Revenues & Volume Share, By Technology, 2021 & 2031F |
3.7 Zambia Artificial Intelligence (Chipsets) Market Revenues & Volume Share, By Processing Type, 2021 & 2031F |
3.8 Zambia Artificial Intelligence (Chipsets) Market Revenues & Volume Share, By Industry Vertical, 2021 & 2031F |
4 Zambia Artificial Intelligence (Chipsets) Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing demand for AI-powered devices and applications in various industries in Zambia |
4.2.2 Growing investments in AI technology and infrastructure by the government and private sector |
4.2.3 Technological advancements in AI chipsets leading to improved performance and efficiency |
4.3 Market Restraints |
4.3.1 High initial costs associated with implementing AI chipsets in Zambia |
4.3.2 Limited awareness and understanding of AI technology among businesses and consumers |
4.3.3 Lack of skilled workforce in AI development and implementation in Zambia |
5 Zambia Artificial Intelligence (Chipsets) Market Trends |
6 Zambia Artificial Intelligence (Chipsets) Market Segmentations |
6.1 Zambia Artificial Intelligence (Chipsets) Market, By Product |
6.1.1 Overview and Analysis |
6.1.2 Zambia Artificial Intelligence (Chipsets) Market Revenues & Volume, By GPU, 2021-2031F |
6.1.3 Zambia Artificial Intelligence (Chipsets) Market Revenues & Volume, By ASIC, 2021-2031F |
6.1.4 Zambia Artificial Intelligence (Chipsets) Market Revenues & Volume, By FPGA, 2021-2031F |
6.1.5 Zambia Artificial Intelligence (Chipsets) Market Revenues & Volume, By CPU, 2021-2031F |
6.2 Zambia Artificial Intelligence (Chipsets) Market, By Technology |
6.2.1 Overview and Analysis |
6.2.2 Zambia Artificial Intelligence (Chipsets) Market Revenues & Volume, By NLP, 2021-2031F |
6.2.3 Zambia Artificial Intelligence (Chipsets) Market Revenues & Volume, By RPA, 2021-2031F |
6.2.4 Zambia Artificial Intelligence (Chipsets) Market Revenues & Volume, By Computer vision, 2021-2031F |
6.2.5 Zambia Artificial Intelligence (Chipsets) Market Revenues & Volume, By Network Security, 2021-2031F |
6.2.6 Zambia Artificial Intelligence (Chipsets) Market Revenues & Volume, By Others, 2021-2031F |
6.3 Zambia Artificial Intelligence (Chipsets) Market, By Processing Type |
6.3.1 Overview and Analysis |
6.3.2 Zambia Artificial Intelligence (Chipsets) Market Revenues & Volume, By Edge, 2021-2031F |
6.3.3 Zambia Artificial Intelligence (Chipsets) Market Revenues & Volume, By Cloud, 2021-2031F |
6.4 Zambia Artificial Intelligence (Chipsets) Market, By Industry Vertical |
6.4.1 Overview and Analysis |
6.4.2 Zambia Artificial Intelligence (Chipsets) Market Revenues & Volume, By Consumer electronics, 2021-2031F |
6.4.3 Zambia Artificial Intelligence (Chipsets) Market Revenues & Volume, By Media & Advertising, 2021-2031F |
6.4.4 Zambia Artificial Intelligence (Chipsets) Market Revenues & Volume, By BFSI, 2021-2031F |
6.4.5 Zambia Artificial Intelligence (Chipsets) Market Revenues & Volume, By IT & Telecom, 2021-2031F |
6.4.6 Zambia Artificial Intelligence (Chipsets) Market Revenues & Volume, By Retail, 2021-2031F |
6.4.7 Zambia Artificial Intelligence (Chipsets) Market Revenues & Volume, By Healthcare, 2021-2031F |
6.4.8 Zambia Artificial Intelligence (Chipsets) Market Revenues & Volume, By Others, 2021-2031F |
6.4.9 Zambia Artificial Intelligence (Chipsets) Market Revenues & Volume, By Others, 2021-2031F |
7 Zambia Artificial Intelligence (Chipsets) Market Import-Export Trade Statistics |
7.1 Zambia Artificial Intelligence (Chipsets) Market Export to Major Countries |
7.2 Zambia Artificial Intelligence (Chipsets) Market Imports from Major Countries |
8 Zambia Artificial Intelligence (Chipsets) Market Key Performance Indicators |
8.1 Adoption rate of AI chipsets in key industries in Zambia |
8.2 Number of AI technology training programs and initiatives in the country |
8.3 Rate of investment in AI infrastructure and research and development in Zambia |
9 Zambia Artificial Intelligence (Chipsets) Market - Opportunity Assessment |
9.1 Zambia Artificial Intelligence (Chipsets) Market Opportunity Assessment, By Product, 2021 & 2031F |
9.2 Zambia Artificial Intelligence (Chipsets) Market Opportunity Assessment, By Technology, 2021 & 2031F |
9.3 Zambia Artificial Intelligence (Chipsets) Market Opportunity Assessment, By Processing Type, 2021 & 2031F |
9.4 Zambia Artificial Intelligence (Chipsets) Market Opportunity Assessment, By Industry Vertical, 2021 & 2031F |
10 Zambia Artificial Intelligence (Chipsets) Market - Competitive Landscape |
10.1 Zambia Artificial Intelligence (Chipsets) Market Revenue Share, By Companies, 2024 |
10.2 Zambia 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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