Companies worldwide are increasingly recognizing the strategic importance of data analytics to remain competitive. According to New Vantage Partners, 97.2% of global organizations already invest in artificial intelligence and Big Data, solidifying these technologies as indispensable allies for more accurate and faster decision-making. This trend is especially relevant, as the global big data market size is projected to grow to $103 billion by 2027, more than double the expected market size in 2018.
The transformation driven by these tools goes beyond mere operational efficiency. Sectors such as retail, healthcare, fintech, and manufacturing use advanced analytics to better understand customers, predict market behaviors, and automate complex processes, generating more precise insights. “These solutions help process large volumes of information while producing actionable insights for innovation and competitiveness,” highlights Mathias Brem, co-founder and CDO of Rox Partner, a leading consultancy in data and cybersecurity.
With the projected evolution by 2025, demand for analytical tools capable of handling real-time and scalable data is only expected to grow. Below are the solutions the expert highlights as standouts for the coming year:
1. Google BigQuery
With a serverless architecture, Google BigQuery is a solution focused on analyzing large volumes of data in real-time, ideal for companies looking to reduce operational costs and increase agility in strategic decisions. “Sectors such as retail, healthcare, and fintech benefit from its fast and accurate data processing, while the anticipated integration with AI and machine learning is expected to make it even more relevant and impactful by 2025,” notes the expert.
- Microsoft Fabric
This is a SaaS data analytics platform that integrates tools like Power BI, Synapse, and Data Factory into a unified environment, simplifying data usage and management for mid-sized businesses with leaner infrastructure. Its cloud-based model enables advanced analytics, real-time monitoring, and data science, all with less need for complex setup, making it a strategic solution for businesses seeking efficiency and integration in the Microsoft ecosystem but lacking the tech teams to manage a data environment.
- OpenSearch
OpenSearch has established itself as a powerful open-source solution for real-time search and data analysis, with applications ranging from system monitoring to anomaly detection and operational analytics. Evolving from the former Elasticsearch, OpenSearch gained traction by offering an open and scalable alternative for indexing and visualizing large datasets. Widely used in sectors like tech, security, and e-commerce, it enables proactive monitoring of critical operations and rapid identification of anomalies. “For 2025, trends point toward deeper cloud ecosystem integration and advanced machine learning use, transforming OpenSearch into a strategic choice for organizations needing real-time insights and customization flexibility,” emphasizes Mathias Brem Garcia.
- Google Vertex AI Platform
This is a robust ecosystem of machine learning and AI tools designed to simplify model development, training, deployment, and monitoring. Combining the power of Google’s AI tools in a unified interface, it offers features catering to both beginners and AI experts. Particularly recommended for medium and large enterprises seeking greater freedom, scalability, and integration with models from all major market providers.
- Apache Spark
Apache Spark is a distributed processing platform combining high speed and efficiency, playing a key role in real-time analytics and machine learning. With applications in e-commerce, telecommunications, and energy, Spark is expected to expand into new areas and technologies alongside IoT and edge computing developments next year. Databricks is the leading company leveraging this tool, though not the only one—a major advantage given its availability across top cloud platforms like Google, Amazon, Oracle, and Microsoft, ensuring interoperability and open access.
- Amazon QuickSight
It has become a popular alternative to Power BI, especially among users already integrated with the AWS ecosystem. This is largely due to its strong integration with services like Amazon SageMaker and Athena, which facilitate advanced analytics, machine learning (ML), and large-scale data processing. Amazon is behind in the AI race (LLMs) but still holds the largest share of public cloud users in Brazil, making this a technology to watch in 2025.
- Google Looker
Looker, part of the Google-acquired solution family, integrates Looker Studio (free), Looker Studio Pro (Google Workspace), and Looker Platform, catering to both basic and advanced enterprise needs. This family unifies analytics with the Google ecosystem, including BigQuery and Workspace, while incorporating Gemini for assisted insights. The Looker Platform enables tailored analytical applications, ideal for companies aiming to productize data, whereas Looker Studio is highly accessible and collaborative, proving strategic for Google Cloud users.
