The technology trends that will accelerate Brazil in 2026

The acceleration of artificial intelligence in Brazilian companies in 2025 changed the axis of discussions on technology. According to a survey by AWS, 9 million companies in the country already use AI systematically – an increase of 29% in just one year. But while artificial intelligence focuses attention, other less visible but decisive technologies advance parallel and set the stage for structural transformation.

To understand which will be the main trends that should dominate state-of-the-art technology in Brazil from next year onwards, we carried out a survey in the national market, crossing trend data already mapped by Gartner with information from the Ministry of Science, Technology and Innovation. The themes identified reflect a new cycle of priorities: more integration, less improvisation; more security, less hype. and should guide investment decisions of private companies and public bodies by the end of the decade.

Of the dozens of technological bets listed annually by global analysts, only a fraction has a real adherence to the Brazilian reality. Factors such as infrastructure, regulation, digital maturity and sector priorities shape what can indeed be scaled locally. The following selection focuses on trends with practical application 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 about to undergo a radical transformation. The native platforms in artificial intelligence, which allow the creation of entire applications through natural language prompts, have been quickly adopted by startups and large companies in the country, offering a direct way to overcome the shortage of developers and accelerate the delivery of digital solutions.

The trend, listed by Gartner as one of the main strategic transformations for the coming years, points to a scenario in which most of the corporate code will be generated, accelerated or revised by AI. For a country with a lack of specialized professionals, but high demand for digitization, the leap in productivity can be huge.

Intelligent Process Automation (RPA/IPA)

The search for operational efficiency, the shortage of qualified labor and the pressure for scalability are the main factors that led to the automation of processes to occupy a prominent role in the digital transformation strategies in Brazil. This year, technology took a qualitative leap: the classic model of robotic automation (RPA), previously limited to fixed flows and repetitive tasks, was incorporated into artificial intelligence resources, giving rise to what the market already calls IPA, or Intelligent Process Automation. The concept goes beyond clicking bots: these are systems that read documents, interpret commands in natural language, make decisions based on machine learning and perform integrated actions between platforms.

This movement is not new, but it has reached a new scale with the integration of generative AI with automation tools. And what was once the privilege of large banks and multinationals became accessible to medium-sized companies, thanks to the proliferation of SaaS solutions, low-code platforms and cloud automation orchestrators.

Security platforms for AI + Predictive Cybersecurity

The concept of predictive cybersecurity, already mapped by Gartner as a strategic trend, presupposes a change in attitude. Rather than simply detecting and reacting to incidents after their occurrence, companies start acting in advance, using predictive, behavioral analysis and intelligent automation algorithms to block threats before they 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. But this reality begins to change, driven mainly by the financial, telecom and retail sectors, where the first projects with predictive architectures already show concrete results in reducing response time and mitigating complex risks.

Cloud Computing and Data Sovereignty: The Cloud as a Strategic Asset

According to Panorama Cloud 2025, a survey carried out by TOTVS in partnership with H2R Advanced Pesquisas, 771TP3 t of Brazilian companies already use day-to-day cloud services, and 61% adopt the cloud as their main infrastructure, with systems, data and applications operating directly in cloud environments, and not just to support local servers.

The 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 inflection 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 in the country, it houses sensitive public administration systems and already connects more than 250 bodies.

Modern data architectures (Lakehouse + Data Mesh)

The explosion of data volume in Brazilian companies, added to the pressure for agility and analytical quality, accelerated the adoption of new architectures capable of breaking with traditional models of storage and consumption of information. Two of these approaches, Data Lakehouse and Data Mesh, have been gaining ground in organizations that face difficulties with silos, duplicity of data and slowness in the delivery of insights.

This trend is also on Gartner's radar, which points to Lakehouse as part of a natural evolution of data platforms and Data Mesh as one of the most promising organizational approaches to efficiently scale analytics.

Real-time analysis and decision intelligence

Making decisions based on updated data, when the facts occur, is no longer a competitive advantage to becoming an operational requirement in sectors such as finance, retail and logistics.

In Brazil, banks use real-time analytics to stop fraud in milliseconds, e-commerce companies adjust offers according to their navigation behavior, and telecom operators monitor network anomalies with automated responses.

But the movement doesn't stop in real time. The next step is the adoption of the so-called decision intelligence (decision intelligence), which structures decision-making from analytical models, business rules and machine learning, often autonomously. Gartner lists Decision Intelligence as one of the most relevant trends by 2026.

Domain-specific language models (DSLMS)

With the advancement of generative artificial intelligence, Brazilian companies began to perceive an important limitation in generalist language models: they respond well to broad tasks, but fail when the context requires technical knowledge, specialized terminology or regulatory nuances. It is at this point that domain-specific language models, or DSLMS – models trained or adjusted with data from sectors such as legal, financial, health or retail, gain relevance.

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 in Portuguese with precision and the effort to maintain sensitive data within the company's perimeter. The creation of DSLMS is therefore a natural step in the professionalization of corporate AI, and a real differentiation strategy in a market increasingly saturated by generic solutions.

Connectivity: the invisible foundation of digital transformation

No technological trend sustains itself without a reliable, fast and distributed connection infrastructure. This year, Brazil has advanced significantly in this regard. There are already more than 1,500 municipalities with active 5G coverage, and about 70% of the population has access to the new generation of mobile networks, according to Anatel data. At the same time, the number of fiber optic connections exceeded 45 million, consolidating the country as a leader in fixed broadband in Latin America. This new connectivity network makes everything possible: AI in real time, sensors in the field, edge computing, high-resolution streaming and digital operations outside the big centers.

The country still faces challenges in rural areas and urban peripheries, but the infrastructure set up in the last two years has changed the level, and has prepared the terrain for the next leap of digitization.

What do these trends say about the future?

More than pointing out promising technologies, the set of these ten trends reveals a clear pattern: Brazil is entering a new stage of digital maturity, in which efficiency, autonomy, governance and reliability replace improvisation, dependence and empty hype. AI remains in the center, but stops operating on its own, gains body by integrating well-structured data, more agile networks, flexible architectures and cloud environments under control.

In the next three years, these layers will be less visible, but structuring, that will separate organizations that grow sustainably from those that only adhere to fads. And it is in this terrain that the role of technology is defined not as a support tool, but as an axis of strategic transformation in Brazil.