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Machine Learning Spending in Libya (2026)

Updated March 2026 · Libya · Ai Machine Learning
USD 150 million
Total AI & ML Investment
Libyan dinar equivalent approximately 670 million LYD
1.2%
Percentage of GDP Invested
Based on Libya's GDP estimated at USD 12.5 billion in 2026
45
Number of AI Startups
Growing tech ecosystem in Libya as of 2026
USD 25 million
Government AI Budget
Dedicated to national AI initiatives and infrastructure
USD 125 million
Private Sector AI Spending
Major corporations and telecoms leading investments

Libya's AI and machine learning investments have significantly increased by 2026, reflecting the country’s focus on digital transformation amidst economic diversification. The USD 150 million total investment indicates a growing tech scene, supported by both government initiatives and private sector efforts. With a GDP of approximately USD 12.5 billion, AI spending now accounts for over 1% of the economy, signaling Libya's commitment to integrating advanced technologies.

The expansion of AI startups to 45 demonstrates a burgeoning entrepreneurial environment, especially in sectors like telecommunications, finance, and energy. The government's USD 25 million AI budget is aimed at improving public services and infrastructure, while private sector investments drive innovation. Overall, Libya's AI landscape is evolving rapidly, positioning the country for increased competitiveness in the digital age.

Frequently Asked Questions

What are Libya's main areas of AI investment?

Libya focuses on telecommunications, energy, finance, and public services for AI integration.

How is the government supporting AI development?

Through dedicated budgets, national strategies, and partnerships with tech companies.

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.