Companies worldwide are increasingly recognizing the strategic importance of data analysis to stay competitive. According to New Vantage Partners, 97.2% of global organizations are already investing in artificial intelligence and Big Data, solidifying these technologies as essential allies for more accurate and faster decisions. This trend is especially relevant, as the size of the global big data market is expected to grow to $103 billion by 2027, more than double the expected market size in 2018.
The transformation generated 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 accurate 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 ofRox Partner, a leading consultancy in data and cybersecurity.
With the projected evolution for 2025, the demand for analysis tools capable of handling real-time data in a scalable manner is only expected to grow. Check out the solutions that the expert indicates as highlights for next 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 seeking to reduce operational costs and increase agility in strategic decision-making. " sectors such as retail, healthcare, and fintech benefit from fast and accurate information processing, while the much-anticipated 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 data analysis platform that integrates tools such as Power BI, Synapse, and Data Factory in a unified environment, simplifying data use and management for medium-sized companies with leaner infrastructure. Your cloud-based model enables 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 within the Microsoft ecosystem but lacking a technology team to manage a data ecosystem.
- OpenSearch
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 old Elasticsearch, OpenSearch 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 enables proactive monitoring of critical operations and quick identification of out-of-pattern events. By 2025, trends point to greater integration with cloud ecosystems and advanced use of machine learning, transforming OpenSearch into a strategic choice for organizations that need 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 designed to simplify the development, training, deployment, and monitoring of models. Combining the power of Google's AI tools into a unified interface, it offers a range of features designed to cater to both beginners and AI experts. Especially suitable for medium and large companies seeking 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 an essential component for real-time analytics and machine learning. With applications focused on e-commerce, telecommunications, and the energy sector, Spark expects to advance into new areas and technologies starting from the development of IoT and edge computing next year. Databricks is the leading company in the use of the tool but not the only one, and this is one of the main advantages of using it, as it is available through the main cloud platforms such as Google, Amazon, Oracle, and Microsoft, being interoperable and free.
- 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 race (LLMs) 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 solutions family acquired by Google, integrates Looker Studio (free), Looker Studio Pro (Google Workspace), and Looker Platform, catering to everything from basic needs to advanced enterprise demands. This family unifies analyses with the Google ecosystem, including BigQuery and Workspace, in addition to incorporating Gemini for assisted analyses. The Looker Platform allows for building custom analytical applications, ideal for companies aiming to productize data, while Looker Studio is accessible and highly collaborative, making it strategic for Google Cloud users.
