Companies worldwide are increasingly recognizing the strategic importance of data analysis to remain competitive. According to New Vantage Partners, 97.2% of global organizations are already investing in artificial intelligence and Big Data, consolidating these technologies as essential allies for more accurate and faster decision-making. This trend is especially relevant, as the global big data market is expected to grow to $103 billion by 2027, more than double the expected size of the market in 2018.
The transformation generated by these tools goes beyond mere operational efficiency. Sectors like 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 contribute to processing large volumes of information, as well as 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 2025 evolution predicted, the demand for analysis tools capable of handling data in real-time and scalable ways should only grow. Check out the solutions that the expert indicates as highlights for the upcoming 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 the quick and accurate processing of information, while the long-awaited integration with AI and machine learning is expected to make it even more relevant and impactful in 2025,” notes the expert.
- Microsoft Factory
It is a SaaS platform for data analysis that integrates tools such as Power BI, Synapse, and Data Factory in a unified environment, simplifying the use and management of data for medium-sized companies with leaner infrastructure. Its cloud-based model allows for advanced analytics, real-time monitoring, and data science, all with less need for complex configuration, making it a strategic solution for businesses seeking efficiency and integration in the Microsoft ecosystem but do not have a technology team to manage a data ecosystem.
- OpenSearch
The OpenSearch has established itself as a powerful open-source solution for real-time data search and analysis, with applications ranging from system monitoring to anomaly detection and operational analysis. Evolving from the former Elasticsearch, OpenSearch has gained strength by offering an open and scalable alternative for indexing and visualizing large volumes of data. Widely used in sectors such as technology, security, and e-commerce, it allows proactive monitoring of critical operations and rapid identification of events outside the norm. ‘By 2025, trends point to greater integration with cloud ecosystems and advanced use of machine learning, turning OpenSearch into a strategic choice for organizations in need of real-time insights and customization flexibility,’ highlights Mathias Brem Garcia.
- Google Vertex AI Platform
It is a robust ecosystem of machine learning and artificial intelligence tools developed to simplify the development, training, deployment, and monitoring of models. Combining the power of Google’s AI tools in a unified interface, it offers a range of functionalities designed to cater to both beginners and AI experts. Especially suitable for medium and large enterprises looking for greater freedom and scalability of solutions and integration with models from all major market providers.
- Apache Spark
Apache Spark is a distributed processing platform that combines high speed and efficiency, being essential for real-time analytics and machine learning. With applications focused on e-commerce, telecommunications, and the energy sector, Spark is expected to advance into new areas and technologies with the development of IoT and edge computing next year. Databricks is the leading company in the tool’s usage, but not the only one, and this is one of the main advantages of using it since it is available through the main cloud platforms such as Google, Amazon, Oracle, and Microsoft, being interoperable and open.
- Amazon QuickSight
It has become a popular alternative to Power BI, especially among users already integrated into the AWS ecosystem. This is mainly due to its strong integration with services like Amazon SageMaker and Athena, which facilitate advanced analytics, machine learning (ML), and large-scale data manipulation. Amazon is behind in the artificial intelligence (LLMs) race but still has the largest share of public cloud users in Brazil, and this will undoubtedly be a prominent technology in 2025.
- Google Looker
Looker, part of the suite of solutions acquired by Google, integrates Looker Studio (free), Looker Studio Pro (Google Workspace), and Looker Platform, catering from basic needs to advanced business demands. This suite unifies analytics with the Google ecosystem, including BigQuery and Workspace, and incorporates Gemini for assisted analytics. The Looker Platform allows you to build custom analytical applications, ideal for companies looking to productize data, while Looker Studio is accessible and highly collaborative, being strategic for Google Cloud users.
