Global Event Stream Processing Market

Event Stream Processing Market Size, Share, Growth Analysis, By Component(Software, Platform), By Deployment Type(Cloud and On-Premises) - Industry Forecast 2024-2031

Report ID: SQMIG45E2180 | Region: Global | Published Date: March, 2024
Pages: 197 | Tables: 61 | Figures: 77

Event Stream Processing Market News

  • In May 2023, Red Hat announced the general availability of Red Hat AMQ Streams, a fully managed service that helps businesses to process event streams in real time.
  • In April 2023, Oracle announced the general availability of Oracle Stream Analytics, a fully managed service that helps businesses to process event streams in real time.
  • In March 2023, Microsoft announced the general availability of Azure Event Hubs, a fully managed service that helps businesses to ingest, store, and process event streams.
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Event Stream Processing Market size was valued at USD 140.96 Billion in 2022 and is poised to grow from USD 172.55 Billion in 2023 to USD 869.86 Billion by 2031, at a CAGR of 22.41% during the forecast period (2024-2031).

The event stream processing market is highly competitive, with several established players and emerging startups vying for market share. These providers offer integrated platforms that combine event stream processing with data storage, analytics, and machine learning, enabling organizations to derive valuable insights from streaming data. 'Apache Kafka (United States)', 'Confluent (United States)', 'Google Cloud (United States)', 'IBM (United States)', 'Microsoft (United States)', 'Amazon Web Services (United States)', 'TIBCO Software (United States)', 'Informatica (United States)', 'Striim (United States)', 'Software AG (Germany)', 'Oracle (United States)', 'SAP SE (Germany)', 'Cloudera (United States)', 'StreamSets (United States)', 'Hazelcast (United States)', 'Solace (Canada)', 'DataStax (United States)', 'Databricks (United States)', 'PubNub (United States)', 'WSO2 (United States)', 'DataTorrent (United States)', 'Aventador (United States)'

The exponential growth of data generated from various sources, such as IoT devices, social media, sensors, and transactional systems, is a major driver for event stream processing. Traditional batch processing and offline analytics are no longer sufficient to handle the massive volumes of data. Event stream processing enables organizations to process and analyze data in real time as it is generated, extracting valuable insights and taking immediate actions.

Hybrid Event Stream Processing Deployments: There is an increasing trend towards hybrid event stream processing deployments, which combine both cloud and on-premises architectures. Hybrid deployments allow organizations to leverage the benefits of both models, providing flexibility, data sovereignty, and the ability to process sensitive or regulated data on-premises while taking advantage of cloud scalability for other data streams.

Cloud-based event stream processing deployments are the dominant segment in North America. The region has a strong cloud infrastructure and services ecosystem, with major cloud service providers offering scalable and reliable event stream processing solutions. The region has a mature technology landscape, early technology adopters, and a high concentration of technology companies.

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