| Product Code: ETC7178063 | Publication Date: Sep 2024 | Updated Date: Nov 2025 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Vasudha | No. of Pages: 75 | No. of Figures: 35 | No. of Tables: 20 |
The Fiji market for integrated graphics microprocessors and GPUs experienced significant growth in 2024, with top exporting countries including Australia, New Zealand, China, USA, and Malaysia. The market concentration, as measured by the HHI, shifted from moderate to high in 2024, indicating increased competition among exporters. The impressive CAGR of 90.29% from 2020 to 2024 highlights the rapid expansion of this market, with a remarkable growth rate of 250.68% from 2023 to 2024 alone. This data suggests a dynamic and thriving market for integrated graphics microprocessors and GPUs in Fiji.

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 Fiji Integrated Graphics Microprocessor and Graphical Processing Unit (GPU) Market Overview |
3.1 Fiji Country Macro Economic Indicators |
3.2 Fiji Integrated Graphics Microprocessor and Graphical Processing Unit (GPU) Market Revenues & Volume, 2021 & 2031F |
3.3 Fiji Integrated Graphics Microprocessor and Graphical Processing Unit (GPU) Market - Industry Life Cycle |
3.4 Fiji Integrated Graphics Microprocessor and Graphical Processing Unit (GPU) Market - Porter's Five Forces |
3.5 Fiji Integrated Graphics Microprocessor and Graphical Processing Unit (GPU) Market Revenues & Volume Share, By Architecture, 2021 & 2031F |
3.6 Fiji Integrated Graphics Microprocessor and Graphical Processing Unit (GPU) Market Revenues & Volume Share, By End user, 2021 & 2031F |
4 Fiji Integrated Graphics Microprocessor and Graphical Processing Unit (GPU) Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing demand for high-performance computing solutions |
4.2.2 Growth in the gaming industry driving the need for advanced GPU technology |
4.2.3 Rising adoption of AI and machine learning applications requiring powerful processors |
4.3 Market Restraints |
4.3.1 Intense competition from other market players offering similar integrated graphics solutions |
4.3.2 Fluctuating prices of raw materials impacting manufacturing costs |
4.3.3 Technological advancements leading to shorter product life cycles |
5 Fiji Integrated Graphics Microprocessor and Graphical Processing Unit (GPU) Market Trends |
6 Fiji Integrated Graphics Microprocessor and Graphical Processing Unit (GPU) Market, By Types |
6.1 Fiji Integrated Graphics Microprocessor and Graphical Processing Unit (GPU) Market, By Architecture |
6.1.1 Overview and Analysis |
6.1.2 Fiji Integrated Graphics Microprocessor and Graphical Processing Unit (GPU) Market Revenues & Volume, By Architecture, 2021- 2031F |
6.1.3 Fiji Integrated Graphics Microprocessor and Graphical Processing Unit (GPU) Market Revenues & Volume, By x86, 2021- 2031F |
6.1.4 Fiji Integrated Graphics Microprocessor and Graphical Processing Unit (GPU) Market Revenues & Volume, By Advanced RISC Machine (ARM), 2021- 2031F |
6.1.5 Fiji Integrated Graphics Microprocessor and Graphical Processing Unit (GPU) Market Revenues & Volume, By Million Instructions per Second (MIPS), 2021- 2031F |
6.1.6 Fiji Integrated Graphics Microprocessor and Graphical Processing Unit (GPU) Market Revenues & Volume, By Power, 2021- 2031F |
6.1.7 Fiji Integrated Graphics Microprocessor and Graphical Processing Unit (GPU) Market Revenues & Volume, By Scalable Processor Architecture (SPARC), 2021- 2031F |
6.2 Fiji Integrated Graphics Microprocessor and Graphical Processing Unit (GPU) Market, By End user |
6.2.1 Overview and Analysis |
6.2.2 Fiji Integrated Graphics Microprocessor and Graphical Processing Unit (GPU) Market Revenues & Volume, By Consumer Electronics, 2021- 2031F |
6.2.3 Fiji Integrated Graphics Microprocessor and Graphical Processing Unit (GPU) Market Revenues & Volume, By Automotive, 2021- 2031F |
6.2.4 Fiji Integrated Graphics Microprocessor and Graphical Processing Unit (GPU) Market Revenues & Volume, By Healthcare, 2021- 2031F |
6.2.5 Fiji Integrated Graphics Microprocessor and Graphical Processing Unit (GPU) Market Revenues & Volume, By Aerospace & Defense, 2021- 2031F |
6.2.6 Fiji Integrated Graphics Microprocessor and Graphical Processing Unit (GPU) Market Revenues & Volume, By Others, 2021- 2031F |
7 Fiji Integrated Graphics Microprocessor and Graphical Processing Unit (GPU) Market Import-Export Trade Statistics |
7.1 Fiji Integrated Graphics Microprocessor and Graphical Processing Unit (GPU) Market Export to Major Countries |
7.2 Fiji Integrated Graphics Microprocessor and Graphical Processing Unit (GPU) Market Imports from Major Countries |
8 Fiji Integrated Graphics Microprocessor and Graphical Processing Unit (GPU) Market Key Performance Indicators |
8.1 Average selling price (ASP) of fiji integrated graphics microprocessors and GPUs |
8.2 Adoption rate of new GPU technologies in the market |
8.3 Number of partnerships and collaborations with software developers for optimized GPU performance |
9 Fiji Integrated Graphics Microprocessor and Graphical Processing Unit (GPU) Market - Opportunity Assessment |
9.1 Fiji Integrated Graphics Microprocessor and Graphical Processing Unit (GPU) Market Opportunity Assessment, By Architecture, 2021 & 2031F |
9.2 Fiji Integrated Graphics Microprocessor and Graphical Processing Unit (GPU) Market Opportunity Assessment, By End user, 2021 & 2031F |
10 Fiji Integrated Graphics Microprocessor and Graphical Processing Unit (GPU) Market - Competitive Landscape |
10.1 Fiji Integrated Graphics Microprocessor and Graphical Processing Unit (GPU) Market Revenue Share, By Companies, 2024 |
10.2 Fiji Integrated Graphics Microprocessor and Graphical Processing Unit (GPU) 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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