87.5%
Average AI Model Accuracy
Reflects improvements in AI model training and data quality in Uzbekistan
1,200
Number of AI-Driven Enterprises
Growth driven by emerging tech startups and government initiatives in 2026
USD 150 million
Total Investment in AI & ML
Increase from USD 60 million in 2024, indicating rising confidence in AI
12%
AI Workforce Percentage
Proportion of tech workforce specializing in AI and machine learning
65%
Public Cloud AI Adoption Rate
Major enterprises leveraging cloud-based AI solutions for scalability
Uzbekistan has made significant strides in AI model development, achieving an average accuracy of 87.5% in 2026. This progress reflects enhanced data collection and local training initiatives. The growth of AI-driven enterprises highlights the country's expanding tech ecosystem, supported by increased investments totaling USD 150 million. As more companies adopt cloud AI services, Uzbekistan is positioning itself as a regional AI innovation hub, despite still developing its digital infrastructure.
The AI workforce in Uzbekistan now comprises 12% of the tech sector, indicating a healthy talent pool. Government policies and private sector investments are fostering AI research and application across industries like agriculture, finance, and healthcare. Continued focus on education and infrastructure is expected to further enhance AI model accuracy and adoption, ensuring Uzbekistan remains competitive in the digital economy of Central Asia.
Frequently Asked Questions
What factors contributed to the increase in AI model accuracy in Uzbekistan?
Improved data quality, enhanced training techniques, and increased investment in AI research contributed to higher accuracy rates.
How is Uzbekistan supporting AI development?
Through government initiatives, investment in infrastructure, and fostering collaborations between academia and industry.
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.