Streaming Analytics Market Report 2025

This Streaming Analytics report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.

The streaming analytics market size has grown exponentially in recent years. It will grow from $27.66 billion in 2024 to $35.42 billion in 2025 at a compound annual growth rate (CAGR) of 28.1%. The growth in the historic period can be attributed to real-time data processing, increased data volumes, demand for actionable insights, growth of IoT devices, advanced analytics adoption.

The streaming analytics market size is expected to see exponential growth in the next few years. It will grow to $112.36 billion in 2029 at a compound annual growth rate (CAGR) of 33.5%. The growth in the forecast period can be attributed to edge computing integration, ai and machine learning in streaming analytics, cloud-native streaming platforms, expansion of 5g networks, cybersecurity concerns and solutions. Major trends in the forecast period include event-driven architecture, integration of streaming analytics with business intelligence, multi-cloud deployment models, focus on anomaly detection, streaming analytics for customer experience optimization.

The increasing adoption of cloud technology is expected to drive the growth of the streaming analytics market in the coming years. Cloud technology, or cloud computing, is a method of delivering computing services via the internet, enabling users to access storage, files, software, and servers through internet-connected devices. Cloud technology supports the streaming analytics market by offering a scalable and efficient infrastructure for processing and analyzing large volumes of real-time data. For example, in September 2022, AAG IT Support Service, a US-based digital transformation service provider, shared a global study of 753 technical and business professionals, revealing that 63% of respondents reported heavy use of cloud services in 2022, up from 59% in 2021. Thus, the growing use of cloud technology is fueling the expansion of the streaming analytics market.

The escalating adoption of the Internet of Things (IoT) is set to be a significant driver for the streaming analytics market. IoT, characterized by a networked system of interconnected computing devices, facilitates real-time data processing, timely decision-making, anomaly detection, resource efficiency, automation, scalability, continuous monitoring, and event-driven architecture through streaming analytics. As per a report by Ericsson in September 2022, global IoT connections reached 13. 2 billion and are projected to surge by 18% to 34. 7 billion connections by 2028. The increasing integration of IoT technologies is thus playing a pivotal role in advancing the streaming analytics market.

Leading companies in the streaming analytics market are concentrating on technological advancements, such as Striim Cloud 4.2, to enhance real-time data processing and insights. Striim Cloud 4.2 is an upgraded version of Striim's streaming data integration and real-time analytics platform, designed to facilitate seamless data processing and insights in the cloud. For instance, in August 2023, Striim Inc., a US-based software company, launched Striim Cloud 4.2, the latest iteration of its unified real-time data integration and streaming platform. This version builds on Striim's industry-leading capabilities by expanding the number of sources and targets that customers can read from and write to using Striim’s built-in adapters, now supporting over 150 sources and targets.

In September 2024, Confluent, a US-based technology company specializing in data streaming solutions, acquired WarpStream for an undisclosed amount. The purpose of Confluent's acquisition of WarpStream is to expand its portfolio with the introduction of a new service called Confluent WarpStream, which supports the bring your own cloud (BYOC) model. WarpStream is a US-based technology company specializing in providing Kafka-compatible streaming data solutions.

Major companies operating in the streaming analytics market include Microsoft Corporation, IBM Corporation, Oracle Corporation, SAP SE, TIBCO Software Inc., Software AG, Striim Inc., Impetus Technologies Inc., SAS Institute Inc., Informatica Inc., Guavus Inc., Google LLC, Cloudera Inc., Conviva Inc., Intel Corporation, SQLstream Inc., Teradata Corporation, Iguazio Ltd., Axonize Ltd., Adobe Inc., Altair Engineering Inc., Mphasis Limited, INTECO Group, WSO2 Inc., EsperTech Inc., Materialize Inc., StarTree Inc., Crosser Technologies AB, Quix Inc., Lenses. io Ltd.

North America was the largest region in the streaming analytics market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the streaming analytics market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the streaming analytics market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Italy, Canada, Spain.

The streaming analytics market includes revenues earned by entities by providing solutions that understand, analyse, and derive insights from real-time data in motion by utilizing services such as real-time data analytics and event stream processing technologies. Streaming analytics is a software application that continuous processing and examination of massive data in action by using sources of streaming data such as equipment sensors, clickstreams, social media feeds, stock market quotes, and app activity. These insights are then used to analyze trends, visualize data, share insights and warnings, and start activities in real time. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

Streaming analytics involves the continuous processing and analysis of data records, as opposed to traditional batch processing. This approach enables the establishment of real-time analytics computations on streaming data and facilitates language integration for swift and pertinent time-sensitive processing.

The primary components of streaming analytics comprise software and services. Streaming analytics services are integral for the analysis of data streams, allowing developers to integrate streaming data with historical data to extract valuable business insights. Deployment modes for streaming analytics encompass both on-premise and cloud solutions, catering to the needs of both large enterprises and small to medium-sized enterprises. Various industry verticals, including BFSI, IT and telecom, manufacturing, government, retail and e-commerce, media and entertainment, healthcare, energy and utilities, and others, make use of streaming analytics for diverse applications.

The streaming analytics market research report Is one of a series of new reports that provides streaming analytics market statistics, including streaming analytics industry global market size, regional shares, competitors with a streaming analytics market share, detailed streaming analytics market segments, market trends and opportunities, and any further data you may need to thrive in the streaming analytics industry. This streaming analytics market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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