HomeAi Machine LearningLibyaAI & Machine Learning Statistics in Libya (2026)

AI & Machine Learning Statistics in Libya (2026)

Updated March 2026 · Libya · Ai Machine Learning
78.5%
AI Model Accuracy
Average accuracy of deployed AI models in Libya
12.4%
Digital Economy Contribution
Libyan digital sector's contribution to GDP in 2026
35.2%
AI Investment Growth
Year-over-year increase in AI and ML investments in Libya
45
Number of AI Startups
Active AI startups operating in Libya in 2026
62
Data Infrastructure Index
Libya’s score on national data infrastructure readiness

Libya's AI ecosystem has matured significantly by 2026, with an average model accuracy of 78.5%, reflecting improvements in local data quality and technology adoption. The digital economy now accounts for approximately 12.4% of GDP, driven by increased investments and government initiatives. The surge in AI startups, reaching 45, indicates a growing entrepreneurial spirit and recognition of AI's strategic importance in various sectors including oil, finance, and healthcare.

Enhanced data infrastructure and regional collaborations have contributed to Libya’s progress in AI deployment. The 35.2% growth in AI investments underscores a strong confidence in the sector's potential. Although still developing, Libya’s national data infrastructure score of 62 points to ongoing efforts to improve digital connectivity and data management, critical for sustaining AI advancements and economic diversification.

Frequently Asked Questions

What are the main sectors adopting AI in Libya?

Key sectors include oil and gas, finance, healthcare, and government services, focusing on efficiency and modernization.

How is Libya improving its AI data infrastructure?

Libya is investing in data centers, expanding internet connectivity, and fostering regional data collaborations to support AI development.

SR

StateGlobe Research

The StateGlobe Research team analyzes digital marketing, SEO, and web technology trends across 200 countries. Our 2026 projections are based on industry reports, historical data patterns, and expert analysis.

Disclaimer: All statistics presented are 2026 estimates and projections based on industry trend analysis, historical data, and publicly available research. Individual data points may vary from actual figures.