Streaming Analytics Market is poised for significant growth, with projections to hit $73.27 billion by 2030, showcasing a promising CAGR of 19.7% during the forecast period from 2023 to 2030. This forecast, detailed in Meticulous Research®’s latest report, highlights the growing influence of streaming analytics platforms across industries.

The upsurge in adoption of streaming analytics platforms owes itself to the imperative need for expedited insights and real-time actions, further accelerated by the exponential growth in industrial automation. However, the market faces challenges, notably in the integration of streaming analytics solutions with legacy systems.

Top 10 Companies Driving the Streaming Analytics Market:-https://meticulousblog.org/top-10-companies-in-streaming-analytics-market/

IBM Corporation: Pioneering technology and innovation to offer comprehensive middleware and data processing solutions, IBM’s Streams platform enables the swift analysis of vast data streams, bolstering business insight and decision-making speed.
Informatica Inc.: An enterprise cloud data management expert, Informatica's Intelligent Data Management Cloud (IDMC) facilitates streaming data processing services, empowering organizations to harness data insights and facilitate advanced analytics.
Microsoft Corporation: Known for its array of software, services, and devices, Microsoft offers cloud-based solutions and products that include operating systems, productivity applications, and server management tools, catering to diverse business needs.
SAP SE: Renowned for enterprise application software, SAP’s Streaming Analytics service within SAP HANA allows real-time processing of event data streams, providing dynamic insights and efficient data capture.
Striim, Inc.: A California-based enterprise offering a unified data integration and streaming platform, Striim facilitates seamless connectivity between legacy systems and modern cloud applications, ensuring real-time data availability.
Oracle Corporation: Providing a range of IT solutions, Oracle’s Stream Analytics platforms employ machine learning and sophisticated analytics to process large-scale real-time data, aiding in prompt business decisions.
SAS Institute Inc.: Specializing in analytics software, SAS Event Stream Processing (ESP) enables organizations to analyze streaming data, uncover insights with AI, and make real-time decisions.
SQLstream (a subsidiary of Thales Group): Acquired by Guavus, a Thales company, SQLstream focuses on enterprise platforms for hosting machine learning models, allowing continuous data filtering and transformation for real-time analytics.
Cloudera, Inc.: Offering a hybrid data platform, Cloudera's Stream Processing solution aids in real-time analytics, empowering organizations with insights from complex data across various environments.
Amazon Web Services, Inc.: A subsidiary of Amazon, AWS Kinesis processes and analyzes streaming data at any scale, providing fully managed services for data ingestion and analysis.
For detailed insights into the financial performance, key products, and strategies of these companies, refer to Meticulous Research®’s comprehensive report on the Streaming Analytics Market.

Meticulous Research Insights and Future Projections

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