The 7 most powerful data analysis tools for 2025

Companies around the world increasingly recognize the strategic importance of data analysis to remain competitive. According to New Vantage Partners, 97,2% of global organizations already invest in artificial intelligence and Big Data, which consolidates these technologies as indispensable allies for more accurate and faster decisions. This trend is especially relevant, since the size of the global big data market is expected to grow to $ 103 billion dollars by 2027, more than double the expected market size in 2018. 

The transformation generated by these tools exceeds mere operational efficiency.Sectors such as retail, health, fintech and manufacturing use advanced analysis to better understand customers, predict market behaviors and automate complex processes, generating more accurate perspectives. “These solutions contribute to the processing of large volumes of information, in addition to producing actionable insights for innovation and competitiveness”, highlights Mathias Brem, founding partner and CDO of the company Rox Partner's, reference consulting in data and cybersecurity.

With the expected evolution for 2025, the demand for analysis tools capable of handling data in real time and in a scalable way should only grow. Check out the solutions that the expert indicates as a highlight for the 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 operating costs and increase agility in strategic decisions.“Sectors such as retail, health and fintech benefit from the fast and accurate processing of information, while the long-awaited integration with AI and machine learning should make it even more relevant and impactful in 2025”, says the expert.

2. Microsoft Factory

It is a SaaS data analytics platform 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 advanced analysis, 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 has no technology team to manage a data ecosystem.

3. OpenSearch

OpenSearch has consolidated 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 has gained strength by offering an open and scalable alternative for indexing and visualization of large volumes of data. Widely used in sectors such as technology, security and e-commerce, it allows proactive monitoring of critical operations and the rapid identification of non-standard events.“For 2025, trends point to greater integration with Open cloud ecosystems and the advanced use of machine learning, transforming the insights into strategic choice of Matsearch into a B-based organizations.

4. 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 AI tools in a unified interface, it offers a series of features designed to suit both beginners and AI experts. Especially suitable for medium and large companies who want greater freedom and scalability of solutions and integration with models from all major vendors in the market.

5. Spark Apache

Apache Spark is a distributed processing platform that combines high speed and efficiency, being an essential part for real-time analysis and machine learning. With applications focused on e-commerce, telecommunications and the energy sector, Spark expects to advance to new areas and technologies from the development of IoT and edge computing in the next year. Databricks is the main company ahead in the use of the tool but not being the only one and this is one of the main advantages in the use of it since it is available through the main cloud platforms such as Google, Amazon, Oracle and Microsoft being interoperable and free.

6. 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 such as Amazon SageMaker and Athena, which facilitate advanced analytics, machine learning (ML) and large-scale data manipulation. Amazon is behind in the race for artificial intelligence (LLMs) but still has the largest share of public cloud users in Brazil and this will undoubtedly be a technology in evidence in 2025.

7. Google Looker 

Looker, part of the family of solutions acquired by Google, integrates Looker Studio (free), Looker Studio Pro (Google Workspace ) and Looker Platform, meeting from basic needs to advanced business demands. This family unifies analyzes with the Google ecosystem, including BigQuery and Workspace, and incorporates Gemini for assisted analysis. The Looker Platform allows you to build tailor-made analytical applications, ideal for companies that aim to produce data, while Looker Studio is accessible and highly collaborative, being strategic for Google Cloud users.