HomeSaas SoftwarePortugalPortugal Statistics in Low-Code Platform Growth in 2026

Portugal Statistics in Low-Code Platform Growth in 2026

Updated March 2026 · Portugal · Saas Software
1.2 million
Number of Low-Code Platform Users
Portugal
1.5 billion
Annual SaaS Revenue (EUR)
2026
65%
Percentage of Businesses Using Low-Code
Portugal
750
Average Monthly SaaS Spending per Company (EUR)
Portugal
22%
Growth Rate of Low-Code Adoption
year-over-year

Portugal's low-code platform adoption has surged, with over 1.2 million users in 2026, reflecting increased digital transformation across sectors. The SaaS industry now generates around €1.5 billion annually, demonstrating robust growth fueled by SMEs and enterprises seeking agile solutions. The widespread use of low-code tools has led to faster app development and reduced IT costs, positioning Portugal as a regional tech hub.

With 65% of businesses adopting low-code platforms, Portugal's digital maturity continues to accelerate. Companies are spending an average of €750 monthly on SaaS services, indicating substantial investment in cloud-based solutions. This growth is driven by government initiatives, rising startup activity, and the need for rapid digital innovation, making Portugal a promising market for SaaS and software providers.

Frequently Asked Questions

What is driving low-code platform adoption in Portugal?

Factors include digital transformation initiatives, cost savings, ease of use, and government support for technology innovation.

How does Portugal compare with neighboring countries in SaaS growth?

Portugal's SaaS market is rapidly expanding, with higher growth rates compared to some neighboring countries, driven by local startups and multinational investments.

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.