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 Insights

Global 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).

Real-time analytics demand is on the rise, and big data benefits are becoming more widely recognised, which is why this industry is growing. The increasing adoption of cloud-based event stream processing solutions is anticipated to support the market's expansion throughout the course of the projected period.

People generate 2.5 quintillion bytes of data per day, and this amount is anticipated to increase more quickly each year, according to Mach Eye. Users of business intelligence are already having trouble turning this deluge of complex data into useful insights.

As a result, there would be a substantial need for more sophisticated, user-friendly data translation systems. Retailers may create highly individualised offers for each of their customers at a very fine level thanks to targeted offers and predictive analytics.

Retailers, for instance, can increase sales across all of their channels by personalising the in-store experience with discounts that encourage repeat purchases and encourage more purchases. To upsell or cross-sell a customer, predictive analytics can be used. The lifetime value (CLV) of a customer can also be predicted by firms using predictive analytics. In order to identify the most profitable clients over time, CLV analyses historical behaviour to estimate a customer's discounted value over time. 

Additionally, the use of event stream processing is rapidly expanding in radio-frequency identification (RFID) event processing applications due to the demand for real-time processing of massive volumes of RFID data. An RFID reader can read the signal that is produced by the connection of RFID tags to objects or people.

US Event Stream Processing Market is poised to grow at a sustainable CAGR for the next forecast year.

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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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Global Event Stream Processing Market

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