Companies around the world are increasingly recognizing the strategic importance of data analytics to remain competitive. According to New Vantage Partners, 97,2% of global organizations are already investing in artificial intelligence and big data, This consolidates these technologies as indispensable allies for more accurate and faster decisions.. This trend is particularly 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 goes beyond mere operational efficiency.. Sectors such as retail, health, FinTech and manufacturing use advanced analytics to better understand customers, predict market behaviour and automate complex processes, generating more accurate perspectives. ⁇ These solutions help to process large volumes of information, in addition to producing actionable insights for innovation and competitiveness, highlighted by Mathias Brem, founding partner and CDO ofRox Partner, reference consultancy in data and cybersecurity
With the expected developments for 2025, The demand for analytical tools capable of handling real-time and scalable data is only expected to grow.. Check out the solutions that the expert indicates as highlights for next year:
1.This is Google BigQuery.
Having a serverless architecture, Google BigQuery is a solution focused on analyzing large volumes of real-time data, ideal for companies seeking to reduce operational costs and increase agility in strategic decisions. Sectors such as retail, Health and fintech benefit from fast and accurate information processing, while the expected integration with AI and machine learning should make it even more relevant and impactful in 2025
- Microsoft Factory
It's a SaaS data analytics platform that integrates tools like Power BI, Synapse and Data Factory in a unified environment, simplifying the use and management of data for medium-sized enterprises with leaner infrastructure. Its cloud-based model allows advanced analytics, real-time monitoring and data science, everything with less need for complex configuration, becoming a strategic solution for businesses seeking efficiency and integration into the Microsoft ecosystem but do not have the 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 has gained momentum by offering an open and scalable alternative for indexing and viewing 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 out-of-standard events. "For 2025, Trends point to greater integration with cloud ecosystems and the advanced use of machine learning, turning OpenSearch into a strategic choice for organizations that need real-time insights and customization flexibility., highlighted by Mathias Brem Garcia
- Google Vertex AI Platform
It's a robust ecosystem of machine learning and artificial intelligence tools developed to simplify 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 enterprises that want greater freedom and scalability of solutions and integration with models from all major vendors in the market
- Apache Spark
Apache Spark is a distributed processing platform that combines high speed and efficiency, being an essential piece for real-time analytics and machine learning. With applications aimed at e-commerce, telecommunications and energy sector, Spark expects to move into new areas and technologies 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 in using it since it is available through the main cloud platforms like 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 such as Amazon SageMaker and Athena., which facilitate advanced analyses, machine learning (ML) and large-scale data handling. 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 technology in evidence in 2025
- Google Looker
The Looker, part of the solution family acquired by Google, includes Looker Studio (free), Looker Studio Pro (also known as Google Workspace) and Looker Platform, serving from basic needs to advanced business demands. This family unifies analytics with the Google ecosystem., including BigQuery and Workspace, In addition to incorporating Gemini for assisted analysis. The Looker Platform allows you to build tailored analytical applications, ideal for companies aiming to produce data, While Looker Studio is accessible and highly collaborative, being strategic for Google Cloud users
