Event Stream Processing Market Report 2024

This Event Stream Processing market 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 event stream processing market size has grown rapidly in recent years. It will grow from $1.22 billion in 2023 to $1.45 billion in 2024 at a compound annual growth rate (CAGR) of 18.4%. The rise of big data analytics, the growing need for real-time data processing, the adoption of IoT and interconnected devices, the increasing demand for operational efficiency, the expansion of cloud computing, and the emergence of digital transformation initiatives.

The event stream processing market size is expected to see rapid growth in the next few years. It will grow to $2.86 billion in 2028 at a compound annual growth rate (CAGR) of 18.5%. The anticipated growth during the forecast period can be linked to the heightened utilization of AI and machine learning for data analytics, the increasing need for predictive insights, the growing adoption of 5G technology, the broader application of event-driven architecture in businesses, the surge in demand for edge computing, and advancements in real-time fraud detection solutions. Key trends during this forecast period include the integration of AI into event stream processing, the expansion of cloud-native event processing platforms, the rise of serverless computing, a greater emphasis on scalability and flexibility, the development of real-time customer experience solutions, and the creation of low-latency and high-throughput processing capabilities.

The growing demand for the Internet of Things (IoT) is expected to drive the growth of the event stream processing market. IoT refers to a network of interconnected devices that communicate and exchange data over the internet. This rise in IoT is fueled by technological advancements, including more affordable sensors and enhanced connectivity, which enable a greater number of devices to be linked and data-driven. Event stream processing in IoT allows for real-time analysis and decision-making from continuous streams of sensor data, optimizing responses across connected devices. For example, in November 2022, Ericsson reported that the number of IoT-connected devices is projected to reach 34.7 billion by 2028, up from 13.2 billion in 2022, with 28.7 billion connecting via local short-range LPWANs and 6 billion through wide-area networks, including private cellular networks. Consequently, the rising demand for IoT is propelling the event stream processing market.

Key players in the event stream processing market are emphasizing real-time analysis solutions, such as stream analytics, to enhance data processing efficiency and deliver actionable insights instantly. Stream analytics involves the real-time processing and analysis of data streams as they are received from various sources, allowing for immediate insights and actions. This approach utilizes algorithms and data processing techniques to manage high-velocity data, enabling businesses to make data-driven decisions quickly. For instance, in January 2024, Azure Stream Analytics, a US-based cloud computing platform from Microsoft, introduced significant updates to its no-code editor, simplifying the creation and management of stream analytics jobs without the need for coding. The update includes an enhanced user interface with intuitive operator management and guidance for new users, reflecting the broader trend towards making complex data processing tasks more accessible and efficient in real-time analytics.

In September 2024, Confluent Inc., a US-based cloud-native data streaming platform, acquired WarpStream Labs for an undisclosed amount. This acquisition strengthens Confluent’s cloud-native streaming capabilities through a unique BYOC architecture that balances user-friendliness with control and security. WarpStream Labs specializes in Kafka-compatible event data streaming.

Major companies operating in the event stream processing market are Amazon Web Services Inc., Microsoft Azure, International Business Machines Corporation, Oracle Corporation, SAP SE, Google Cloud, SAS Institute Inc., Informatica LLC, Software AG, Cloudera Inc., Impetus Technologies Inc., Confluent Inc., DataStax Inc., Aiven Oy, Striim Inc., Hazelcast Inc., Lightbend Inc., Kinetica DB Inc., StreamNative Inc., Ververica GmbH, Apache Software Foundation, EsperTech Inc.

North America was the largest region in the event stream processing in 2023. Europe is expected to be the fastest-growing region in the forecast period. The regions covered in the event stream processing market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the event stream processing market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Event stream processing (ESP) is a technology that processes and analyzes data in real time, continuously evaluating data streams as they are produced. This capability enables organizations to gain immediate insights and take prompt actions. ESP helps businesses identify patterns, anomalies, and trends in live data, which supports swift decision-making and responsiveness.

The primary types of components in event stream processing consist of solutions and services. ESP solutions are software tools and platforms specifically designed to manage and analyze real-time data streams, allowing businesses to process, evaluate, and act on data as it emerges for timely insights and decision-making capabilities. These solutions are essential for applications that need real-time data processing, including monitoring, alerting, and decision support systems. Deployment options encompass cloud and on-premises setups for various applications, such as fraud detection, predictive maintenance, algorithmic trading, and network monitoring, as well as sales and marketing management, among others.

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

The event stream processing market consists of revenues earned by entities by providing services such as system integration, customization, maintenance, support, and consulting. The market value includes the value of related goods sold by the service provider or included within the service offering. The event stream processing market also includes sales of event stream processing software, analytics platforms, stream processing engines, and data integration tools. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

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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