The acceleration of artificial intelligence in Brazilian companies in 2025 has shifted the focus of technology discussions. According to an AWS survey, 9 million companies in the country already use AI systematically—a 29% increase in just one year. However, while artificial intelligence captures the spotlight, other less visible yet decisive technologies are advancing in parallel, laying the groundwork for structural transformation.
To understand the key trends that will dominate cutting-edge technology in Brazil starting next year, we conducted a survey of the domestic market, cross-referencing trends already mapped by Gartner with data from the Ministry of Science, Technology, and Innovation. The identified themes reflect a new cycle of priorities: more integration, less improvisation; more security, less hype. These trends are expected to guide investment decisions for private companies and public agencies until the end of the decade.
Of the dozens of technological bets listed annually by global analysts, only a fraction truly align with Brazil's reality. Factors such as infrastructure, regulation, digital maturity, and sector-specific priorities shape what can actually be scaled locally. The following selection focuses on trends with practical applications and direct impact on the country's challenges and opportunities over the next three years.
AI-Native Development Platforms
The way companies develop software in Brazil is on the verge of a radical transformation. AI-native platforms, which enable the creation of entire applications through natural language prompts, are being rapidly adopted by startups and large enterprises in the country, offering a direct path to circumvent the shortage of developers and accelerate the delivery of digital solutions.
This trend, listed by Gartner as one of the key strategic transformations for the coming years, points to a scenario where most corporate code will be generated, accelerated, or reviewed by AI. For a country with a shortage of specialized professionals but high demand for digitalization, the productivity leap could be enormous.
Intelligent Process Automation (RPA/IPA)
The pursuit of operational efficiency, the shortage of skilled labor, and pressure for scalability are the main factors that have elevated process automation to a prominent role in digital transformation strategies in Brazil. This year, the technology made a qualitative leap: the classic robotic process automation (RPA) model, previously limited to fixed flows and repetitive tasks, has been integrated with artificial intelligence capabilities, giving rise to what the market now calls IPA, or Intelligent Process Automation. The concept goes beyond bots that replicate clicks: it involves systems that read documents, interpret natural language commands, make decisions based on machine learning, and execute integrated actions across platforms.
This movement is not new but has reached a new scale with the integration of generative AI into automation tools. What was once the privilege of large banks and multinationals has become accessible to medium-sized companies, thanks to the proliferation of SaaS solutions, low-code platforms, and cloud-based automation orchestrators.
AI Security Platforms + Predictive Cybersecurity
The concept of predictive cybersecurity, already mapped by Gartner as a strategic trend, implies a shift in posture. Instead of simply detecting and reacting to incidents after they occur, companies are beginning to act proactively, using prediction algorithms, behavioral analysis, and intelligent automation to block threats before they cause impact.
In Brazil, this approach is still new, as is the structured use of AI agents dedicated to digital security. Most companies still operate with reactive tools based on signatures and fixed rules. However, this reality is beginning to change, driven primarily by the financial, telecom, and retail sectors, where the first projects with predictive architectures are already showing concrete results in reducing response times and mitigating complex risks.
Cloud Computing and Data Sovereignty: The Cloud as a Strategic Asset
According to the Cloud Panorama 2025 survey conducted by TOTVS in partnership with H2R Advanced Research, 77% of Brazilian companies already use cloud services daily, and 61% adopt the cloud as their main infrastructure, with systems, data, and applications operating directly in cloud environments, not merely as support for local servers.
This trend, mapped by Gartner as one of the most relevant for the coming years, reflects a global movement in response to geopolitical risks, extraterritorial legislation, and disputes over technological autonomy.
In Brazil, a milestone of this shift was the creation of the Sovereign Government Cloud, an official infrastructure launched by the federal government last September. Operated by state-owned companies such as Serpro and Dataprev, with data centers located within the country, it hosts sensitive public administration systems and already connects more than 250 agencies.
Modern Data Architectures (Lakehouse + Data Mesh)
The explosion of data volume in Brazilian companies, combined with pressure for agility and analytical quality, has accelerated the adoption of new architectures capable of breaking with traditional models of information storage and consumption. Two of these approaches, Data Lakehouse and Data Mesh, are gaining traction in organizations struggling with silos, data duplication, and slow delivery of insights.
This trend is also on Gartner's radar, which identifies the lakehouse as part of a natural evolution of data platforms and Data Mesh as one of the most promising organizational approaches for scaling analytics efficiently.
Real-Time Analytics and Decision Intelligence
Making decisions based on updated data, at the moment events occur, has shifted from being a competitive advantage to an operational requirement in sectors such as finance, retail, and logistics.
In Brazil, banks use real-time analytics to block fraud in milliseconds, e-commerce companies adjust offers based on browsing behavior, and telecom operators monitor network anomalies with automated responses.
But the movement does not stop at real-time. The next step is the adoption of so-called Decision Intelligence, which structures decision-making based on analytical models, business rules, and machine learning, often autonomously. Gartner lists Decision Intelligence as one of the most relevant trends until 2026.
Domain-Specific Language Models (DSLMs)
With the advancement of generative artificial intelligence, Brazilian companies have begun to notice a significant limitation in generalist language models: they perform well in broad tasks but fail when the context requires technical knowledge, specialized terminology, or regulatory nuances. This is where domain-specific language models, or DSLMs, gain relevance—models trained or fine-tuned with proprietary data from sectors such as legal, financial, healthcare, or retail.
Gartner predicts that by 2028, most corporate generative AI applications will be based on domain-specific models—not generic LLMs. In Brazil, this movement is reinforced by two factors: the need to operate accurately in Portuguese and the effort to keep sensitive data within the company's perimeter. The creation of DSLMs is therefore a natural step in the professionalization of corporate AI and a strategy for real differentiation in a market increasingly saturated with generic solutions.
Connectivity: The Invisible Foundation of Digital Transformation
No technological trend can be sustained without reliable, fast, and distributed connectivity infrastructure. This year, Brazil has advanced significantly in this regard. According to Anatel data, over 1,500 municipalities already have active 5G coverage, and about 70% of the population has access to the new generation of mobile networks. At the same time, the number of fiber-optic connections has exceeded 45 million, solidifying the country's leadership in fixed broadband in Latin America. This new connectivity mesh enables everything: real-time AI, field sensors, edge computing, high-resolution streaming, and digital operations outside major urban centers.
The country still faces challenges in rural areas and urban peripheries, but the infrastructure built over the last two years has raised the bar and prepared the ground for the next leap in digitalization.
What These Trends Say About the Future
More than pointing to promising technologies, this set of ten trends reveals a clear pattern: Brazil is entering a new stage of digital maturity, where efficiency, autonomy, governance, and reliability replace improvisation, dependence, and empty hype. AI remains central but no longer operates alone; it gains substance by integrating with well-structured data, more agile networks, flexible architectures, and controlled cloud environments.
Over the next three years, it will be these less visible but foundational layers that will separate organizations growing sustainably from those merely following fads. And it is on this ground that technology's role is defined not as a support tool, but as the axis of strategic transformation in Brazil.
