HomeAi Machine LearningPapua New GuineaAI & Machine Learning Statistics in Papua New Guinea (2026)

AI & Machine Learning Statistics in Papua New Guinea (2026)

Updated March 2026 · Papua New Guinea · Ai Machine Learning
USD 150 million
Total AI & ML Investment
Papua New Guinea
12%
Percentage of Tech Budget Allocated to AI & ML
National ICT budget
45
Number of AI & ML Startups
Registered startups
1,200 professionals
AI Workforce Size
Data scientists and engineers
USD 3.3 million
Average AI Project Budget
Per project

In 2026, Papua New Guinea has seen a significant increase in AI and machine learning investments, reaching around USD 150 million. This reflects the country's growing recognition of AI's potential to drive economic growth and improve public services. The tech sector is allocating about 12% of its overall ICT budget to AI, indicating strategic prioritization amidst developing digital infrastructure.

The AI startup ecosystem has expanded to 45 active companies, employing approximately 1,200 AI professionals. Project budgets are averaging USD 3.3 million, supporting innovative applications in agriculture, healthcare, and finance. Papua New Guinea’s focus on AI talent development and local solutions positions it as an emerging player in the Asia-Pacific AI landscape.

Frequently Asked Questions

What are the main sectors adopting AI in Papua New Guinea?

Key sectors include agriculture, healthcare, finance, and government services, aiming to enhance productivity and service delivery.

How is Papua New Guinea supporting AI development?

Through government incentives, partnerships with universities, and investments in local AI startups to foster innovation and skills.

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.