Event Stream Processing Market Size & Share Analysis - Growth Trends & Forecasts (2025 - 2030)

The report covers Global Event Stream Processing Market Growth and it is segmented by deployment type (cloud, on-premise), component (solutions, services), application (fraud detection, algorithmic trading, process monitoring, predictive maintenance, sales, and marketing), end-user vertical (IT & Telecommunications, BFSI, Manufacturing, Retail & Ecommerce, Energy & Utilities), and geography (North America, Europe, Asia Pacific, Latin America, the Middle East, and Africa). The market sizes and forecasts are provided in terms of value (USD million) for all the above segments.

Event Stream Processing Market Size & Share Analysis - Growth Trends & Forecasts (2025 - 2030)

Event Stream Processing Market Size

Event Stream Processing Market Summary
Study Period 2019 - 2030
Base Year For Estimation 2024
Forecast Data Period 2025 - 2030
CAGR 15.70 %
Fastest Growing Market Asia-Pacific
Largest Market North America
Market Concentration Medium

Major Players

Event Stream Processing Market Major Players

*Disclaimer: Major Players sorted in no particular order

Compare market size and growth of Event Stream Processing Market with other markets in Technology, Media and Telecom Industry

Automation

Digital Commerce

Electronics

Information Technology

Media and Entertainment

Security & Surveillance

Event Stream Processing Market Analysis

The Event Stream Processing Market is expected to register a CAGR of 15.7% during the forecast period.

  • According to MachEye, people produce 2.5 quintillion bytes of data daily, which is expected to grow faster each year. Business intelligence users are already struggling to translate this explosion of complex data into actionable insights. As a result, there would be a significant demand for more advanced, easy-to-use data translation tools.
  • Targeted offers and predictive analytics enable merchants to develop highly personalized offers for all their customers at a very granular level. For instance, retailers can personalize the in-store experience by providing offers to incentivize frequent buying and drive more purchases, thereby achieving higher sales across all their channels. Predictive analytics can be used to upsell or cross-sell a customer. Further, predictive analytics helps businesses predict a customer's lifetime value (CLV). CLV helps forecast a customer's discounted value over time by analyzing past behavior to determine the most profitable customers over time.
  • Further, due to the necessity for real-time processing of vast volumes of RFID data, the use of event stream processing in radio-frequency identification (RFID) event processing applications is quickly rising. RFID tags are connected to items or people and generate a signal that an RFID reader can read. This lets businesses keep track of where goods and people are in real time, which is important for many things like managing the supply chain and keeping people safe.
  • According to a survey from Sisense, 50% of companies are utilizing predictive analytics more or much more than before the COVID-19 pandemic, including over 68% of small businesses. For instance, a significant challenge of the COVID-19 pandemic was ensuring that clients felt safe when visiting brick-and-mortar stores. With the help of business intelligence tools, social networking platforms, and customer relationship management (CRM) systems, companies could get direct feedback from customers and take the right steps to ensure everyone's health and safety.
  • There is a significant increase in the requirement for data analytics and data visualization tools. For example, according to the IBM Quant Crunch, up to 2.72 million jobs require data science skills, making it one of the most in-demand roles across industries. College graduates from the MIS and CS departments know little about database modeling or real-world database environments. There are specific IT sciences majors with database classes, let alone business intelligence and analytics courses. There is a lack of exposure to tools and technologies found in the workplace.

Event Stream Processing Industry Overview

The global event stream processing market is moderately competitive owing to the presence of multiple players. The players in the market are adopting strategies like product innovation, mergers, and acquisitions in order to expand their product portfolios, expand their geographic reach, and primarily to stay competitive in the market.

In October 2022, RisingWave Labs, a business developing a platform for data stream processing, announced a Series A fundraising round of USD 36 million headed by Yunqi Partners, unidentified corporate partners, and angel investors. The money, which brings RisingWave's total investment to more than USD 40 million, will be used to expand the startup's business operations in preparation for the launch of RisingWave Cloud, a new cloud service, in the next few years.

In March 2022, Quine, created by thatDot, will be an open-source streaming graph solution designed for high-volume event processing. Quine, according to thatDot, mixes graph data and streaming technologies to enable the building of real-time, complicated event processing processes at scale. Developing an event-driven microservice for stream processing is a difficult endeavor that combines complex difficulties from the database and distributed systems domains. Consensus, concurrency, transactional logic, clustering behavior, fault tolerance, scalability, balancing read and write performance trade-offs, and other features are all included.

Event Stream Processing Market Leaders

  1. IBM Corporation

  2. Microsoft Corporation

  3. Google Inc.

  4. Oracle Corporation

  5. Amazon Web Services Inc.

  6. *Disclaimer: Major Players sorted in no particular order
Event Stream Processing Market Concentration
Need More Details on Market Players and Competiters?
Download PDF

Event Stream Processing Market News

  • October 2022: Microsoft has released the Azure Stream Analytics no-code editor, a drag-and-drop canvas for designing jobs for stream processing scenarios such as streaming ETL, ingestion, and data materialization, to general availability. The no-code editor is hosted by Azure Event Hubs, the company's big-data streaming platform and event ingestion service. Azure Stream Analytics is a service for managed real-time analytics. Its no-code editor allows users to develop a Stream Analytics job without writing a single line of code.
  • August 2022: DataStax, a real-time data firm, and Decodable, a streaming processing platform company, have announced new cooperation to assist developers in building modern real-time apps and delivering data services in minutes at a significantly lower cost. As a result of the collaboration, the two companies will link their cloud services to take advantage of three powerful open-source technologies: Apache Cassandra, Apache Pulsar, and Apache Flink.

Event Stream Processing Market Report - Table of Contents

1. INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2. RESEARCH METHODOLOGY

3. EXECUTIVE SUMMARY

4. MARKET DYNAMICS

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Increasing Adoption of the Internet of Things (IoT) and Smart Devices
    • 4.2.2 Increasing Need to Analyze Large Volumes of Data From Diverse Sources
  • 4.3 Market Restraints
    • 4.3.1 Concerns Associated with Data Security and Privacy
  • 4.4 Porter's Five Forces Analysis
    • 4.4.1 Bargaining Power of Suppliers
    • 4.4.2 Bargaining Power of Buyers
    • 4.4.3 Threat of New Entrants
    • 4.4.4 Threat of Substitute Products
    • 4.4.5 Intensity of Competitive Rivalry

5. MARKET SEGMENTATION

  • 5.1 Deployment Type
    • 5.1.1 Cloud
    • 5.1.2 On-premise
  • 5.2 Component
    • 5.2.1 Solutions (Software & Platforms)
    • 5.2.2 Services
  • 5.3 Application**
    • 5.3.1 Fraud Detection
    • 5.3.2 Algorithmic Trading
    • 5.3.3 Process Monitoring
    • 5.3.4 Predictive Maintenance
    • 5.3.5 Sales and Marketing
  • 5.4 End-user Vertical
    • 5.4.1 IT & Telecommunications
    • 5.4.2 BFSI
    • 5.4.3 Manufacturing
    • 5.4.4 Retail & E-commerce
    • 5.4.5 Energy & Utilities
    • 5.4.6 Other End-user Verticals
  • 5.5 Geography
    • 5.5.1 North America
    • 5.5.2 Europe
    • 5.5.3 Asia-Pacific
    • 5.5.4 Latin America
    • 5.5.5 Middle-East and Africa

6. COMPETITIVE LANDSCAPE

  • 6.1 Company Profiles*
    • 6.1.1 IBM Corporation
    • 6.1.2 Microsoft Corporation
    • 6.1.3 Google Inc.
    • 6.1.4 Oracle Corporation
    • 6.1.5 Amazon Web Services Inc.
    • 6.1.6 Salesforce
    • 6.1.7 Redhat
    • 6.1.8 SAP SE
    • 6.1.9 TIBCO
    • 6.1.10 Hazelcast IMDG
    • 6.1.11 SAS
    • 6.1.12 Confluent, Inc.
    • 6.1.13 Hitachi Vantara
    • 6.1.14 Informatica

7. INVESTMENT ANALYSIS

8. MARKET OPPORTUNITIES AND FUTURE TRENDS

**Trend Analysis
You Can Purchase Parts Of This Report. Check Out Prices For Specific Sections
Get Price Break-up Now

Event Stream Processing Industry Segmentation

Event stream processing (ESP) is a computer programming approach for detecting, responding to, and transforming information streams (event streams) as they happen. ESP can process data in real-time as it arrives or in near-real time with a little delay.

The Event Stream Processing Market is segmented by Deployment Type (Cloud, On-premise), Component (Solutions, Services), Application (Fraud Detection, Algorithmic Trading, Process Monitoring, Predictive Maintenance, Sales, and Marketing), End-user Vertical (IT & Telecommunications, BFSI, Manufacturing, Retail & E-commerce, Energy & Utilities), and Geography (North America, Europe, Asia Pacific, Latin America, the Middle East, and Africa).

The market sizes and forecasts are provided in terms of value (USD million) for all the above segments.

Deployment Type Cloud
On-premise
Component Solutions (Software & Platforms)
Services
Application** Fraud Detection
Algorithmic Trading
Process Monitoring
Predictive Maintenance
Sales and Marketing
End-user Vertical IT & Telecommunications
BFSI
Manufacturing
Retail & E-commerce
Energy & Utilities
Other End-user Verticals
Geography North America
Europe
Asia-Pacific
Latin America
Middle-East and Africa
Need A Different Region or Segment?
Customize Now

Event Stream Processing Market Research FAQs

What is the current Event Stream Processing Market size?

The Event Stream Processing Market is projected to register a CAGR of 15.7% during the forecast period (2025-2030)

Who are the key players in Event Stream Processing Market?

IBM Corporation, Microsoft Corporation, Google Inc., Oracle Corporation and Amazon Web Services Inc. are the major companies operating in the Event Stream Processing Market.

Which is the fastest growing region in Event Stream Processing Market?

Asia-Pacific is estimated to grow at the highest CAGR over the forecast period (2025-2030).

Which region has the biggest share in Event Stream Processing Market?

In 2025, the North America accounts for the largest market share in Event Stream Processing Market.

What years does this Event Stream Processing Market cover?

The report covers the Event Stream Processing Market historical market size for years: 2019, 2020, 2021, 2022, 2023 and 2024. The report also forecasts the Event Stream Processing Market size for years: 2025, 2026, 2027, 2028, 2029 and 2030.

Event Stream Processing Industry Report

Statistics for the 2025 Event Stream Processing market share, size and revenue growth rate, created by Mordor Intelligence™ Industry Reports. Event Stream Processing analysis includes a market forecast outlook for 2025 to 2030 and historical overview. Get a sample of this industry analysis as a free report PDF download.