45
Number of cloud service providers
In Brazil, the cloud service provider ecosystem has expanded significantly, supporting diverse serverless solutions.
62%
Percentage of enterprises using serverless computing
Major Brazilian companies have adopted serverless architectures to improve scalability and reduce costs.
2.8 billion BRL
Average annual investment in cloud infrastructure (BRL)
Brazilian firms are investing heavily in cloud infrastructure, emphasizing serverless and edge computing capabilities.
120,000
Number of serverless applications deployed
The deployment of serverless applications has surged, indicating widespread acceptance across sectors.
3,200 million USD
Revenue from cloud services (USD millions)
Brazil's cloud service revenue continues to grow, reflecting increasing digital transformation efforts.
Brazil's serverless adoption has accelerated, driven by the need for scalable, cost-effective solutions amidst digital transformation. Local providers are expanding their offerings, with many enterprises migrating legacy systems to serverless architectures to enhance agility and reduce operational costs.
The growth in cloud investments and application deployment indicates a mature cloud ecosystem. As more companies recognize the benefits of serverless computing, Brazil is positioning itself as a significant player in Latin America's cloud market, fostering innovation and digital resilience.
Frequently Asked Questions
What are the main benefits of serverless computing in Brazil?
Serverless computing offers Brazilian companies cost savings, scalability, and faster deployment, enabling them to innovate rapidly without managing infrastructure.
Which sectors are leading serverless adoption in Brazil?
The finance, retail, and telecommunications sectors are leading in adopting serverless solutions to improve customer experience and operational efficiency.
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.