이벤트 스트림 처리 : 시장 점유율 분석, 업계 동향과 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the event stream processing market size is projected to be USD 1.61 billion in 2025, USD 1.78 billion in 2026, and reach USD 2.96 billion by 2031, growing at a CAGR of 10.65% from 2026 to 2031.

This report is Segmented by Deployment Type (Cloud, and On-Premise), Component (Solutions, and Services), Application (Fraud Detection, Trading, Monitoring, Location Intelligence, Personalization, Customer Experience, and More), End-User Vertical (IT and Telecom, BFSI, Manufacturing, Retail, Energy, Healthcare, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Event Stream Processing Market Trends and Insights

Kubernetes-Native Data Pipelines Accelerate ESP Adoption

Cloud Native Computing Foundation standardization of Kubernetes Event-Driven Autoscaling in 2024 lets teams scale Apache Flink or Pulsar pods based on topic lag, trimming idle compute costs by 30-40% compared with static virtual machines. Redpanda's C++ architecture removes Java Virtual Machine overhead and delivers sub-10 ms p99 latency, a performance tier that financial institutions require for real-time fraud scoring. Airbyte disclosed that 62% of new connectors launched in 2024 target Kubernetes clusters, signaling that containers have become the default substrate for streaming workloads. As Helm charts and Operators mature, mid-sized retailers can deploy enterprise-grade pipelines without a dedicated site-reliability team, reallocating capital toward data-science talent.

MiFID III Real-Time Transaction Reporting

The Markets in Financial Instruments Directive III compels investment firms to report orders, amendments, and cancellations within one business day and with 1-microsecond timestamp accuracy. McKinsey found that 73% of European banks budgeted at least 20% spending increases for low-latency analytics in 2025, predominantly for Apache Flink clusters co-located at exchange data centers. Systematic internalizers must now prove best execution, driving demand for millisecond-level order-book aggregation. Banks such as Deutsche Bank and BNP Paribas publicly confirmed moves to event stream processing platforms that flag compliance breaches before end-of-day reconciliation.

Proliferation of Divergent Open-Source Engines Complicates Standardization

Linux Foundation research shows 47% of organizations run two or more streaming engines simultaneously, usually pairing Kafka Streams with Flink. Each framework has distinct state-management semantics, monitoring stacks, and serialization formats, driving up total cost of ownership. The lack of a universal streaming SQL standard forces firms into vendor-specific dialects that create lock-in. While Ververica and StreamNative offer managed abstractions, uptake remains limited to early adopters ready to absorb platform risk.

Other drivers and restraints analyzed in the detailed report include:

1. 5G Stand-Alone Telemetry Growth
2. Industry 4.0 Predictive-Maintenance Sensors
3. China and EU Data-Residency Mandates Elevate On-Premise CapEx

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Cloud installations held 57.12% of the Event stream processing market share in 2025 and are forecast to compound at an 11.32% CAGR through 2031. This surge aligns with maturing autoscaling on Kubernetes, letting operators modulate compute to workload volatility without manual tuning. Financial firms that once shunned public clouds for latency or sovereignty concerns now run hybrid topologies, keeping order books on-premise but normalizing market data in the cloud to shorten development cycles.

The economic advantage of cloud narrows once workloads exceed 100 TB of daily throughput, after which dedicated hardware amortizes quickly. However, hyperscale vendors bundle machine-learning, data-lake, and BI services, creating switching costs that preserve cloud momentum. Data-residency rules in China or Germany force some clusters on-premise, but most global firms still view managed services as the default. As a result, the Event stream processing market continues its pivot toward consumption-based pricing, and multicloud is emerging as best practice for risk mitigation.

Solutions generated 64.31% of revenue in 2025, yet services are projected to grow at a 10.78% CAGR to 2031 as enterprises confront a shortage of engineers fluent in stateful stream processing. Professional-services practices inside Accenture, Capgemini, and Infosys now specialize in event-driven architectures, filling capability gaps for financial services and telecom clients. Confluent reported 35% year-over-year managed-service revenue growth in Q3 2024 on the back of migrations from self-hosted Kafka.

Streaming analytics add value on top of core engines, offering SQL interfaces and auto-ML hooks that let business users interrogate data without Java or Scala. Databricks' Delta Live Tables simplified streaming ETL and saw 1,000 production deployments in its first six months. Demand for governance features such as lineage and quality checks is rising as regulators scrutinize real-time risk models, reinforcing services growth in the broader Event stream processing industry.

Complete Report Scope:

• By Deployment Type
  • Cloud
  • On-Premise
• By Component
  • Solutions
    • Stream Processing Engines
    • Streaming Analytics Software
    • Event Visualization and Dashboarding
  • Services
    • Professional Services
    • Managed Services
• By Application
  • Fraud Detection and Risk Analytics
  • Algorithmic and High-Frequency Trading
  • Process and Operations Monitoring
  • Location Intelligence and Geospatial Analytics
  • Sales and Marketing Personalization
  • Customer Experience and Sentiment Analysis
  • Other Application
• By End-User Vertical
  • IT and Telecommunications
  • BFSI
  • Manufacturing
  • Retail and eCommerce
  • Energy and Utilities
  • Healthcare and Life Sciences
  • Transportation and Logistics
  • Others
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Europe
    • Germany
    • United Kingdom
    • France
    • Italy
    • Spain
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • South Korea
    • India
    • Australia
    • New Zealand
    • Rest of Asia-Pacific
  • Middle East and Africa
    • Middle East
      • United Arab Emirates
      • Saudi Arabia
      • Turkey
      • Rest of Middle East
    • Africa
      • South Africa
      • Nigeria
      • Kenya
      • Rest of Africa

Geography Analysis

North America led the Event stream processing market with 38.64% revenue share in 2025 thanks to early adoption by hyperscale cloud vendors and high-frequency trading firms. Chicago and New Jersey data-center ecosystems, located meters from exchange engines, continue to attract co-location spend that fuels ultra-low-latency innovation. U.S. retailers also pioneer self-checkout fraud analytics, adding incremental demand for real-time platforms.

Asia-Pacific is forecast to post a 13.60% CAGR, the fastest worldwide, buoyed by 5G SA telemetry loads in China, Japan, and South Korea. India's over-the-top video services deliver content to 900 million viewers and rely on second-by-second buffering and latency telemetry to optimize CDNs. Data-localization rules in China and Indonesia force operators to deploy clusters inside national borders, raising costs yet guaranteeing steady local spend.

Europe's trajectory hinges on MiFID III enforcement, which obliges financial firms to upgrade to microsecond-accurate pipelines and timestamp every order change. Germany leads Industry 4.0 deployments that stream vibration and acoustic data for predictive maintenance. The Middle East funds smart-city dashboards through Saudi Vision 2030, integrating traffic-light, water-meter, and air-quality sensors. South America and Africa remain smaller but growing, with Brazil's e-commerce firms and South Africa's banks acting as regional pioneers despite limited talent pools.

1. Confluent Inc.
2. IBM Corporation
3. Amazon Web Services Inc.
4. Microsoft Corporation
5. Google LLC
6. Oracle Corporation
7. SAP SE
8. TIBCO Software Inc.
9. Hazelcast Inc.
10. Cloudera Inc.
11. SAS Institute Inc.
12. Hitachi Vantara LLC
13. Informatica Inc.
14. Redpanda Data Inc.
15. Ververica GmbH
16. Databricks Inc.
17. Software AG
18. Lightbend Inc.
19. StreamNative Inc.
20. Imply Data Inc.

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

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 LANDSCAPE

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 North-American Kubernetes-Native Data Pipelines Accelerate ESP Adoption
  • 4.2.2 MiFID III Real-Time Reporting Drives Low-Latency Trading Analytics in Europe
  • 4.2.3 5G SA Network Telemetry Surges ESP Demand Across Asia-Pacific Telcos
  • 4.2.4 Industry-4.0 Predictive-Maintenance Sensors Expand ESP Use in German and Japanese Plants
  • 4.2.5 US Retail Self-Checkout Fraud Analytics Adoption
  • 4.2.6 OTT Video CX Monitoring Growth in India and Southeast Asia
• 4.3 Market Restraints
  • 4.3.1 Proliferation of Divergent Open-Source Engines Complicates Enterprise Standardization
  • 4.3.2 China and EU Data-Residency Mandates Elevate On-Prem CapEx
  • 4.3.3 Scarcity of Apache Flink or Kafka-Streams Talent in Emerging Markets
  • 4.3.4 High Cost of Sub-50 ms Infrastructure for Capital-Market Workloads
• 4.4 Industry Value-Chain Analysis
• 4.5 Regulatory Landscape
• 4.6 Technological Outlook
• 4.7 Porter's Five Forces Analysis
  • 4.7.1 Bargaining Power of Buyers
  • 4.7.2 Bargaining Power of Suppliers
  • 4.7.3 Threat of New Entrants
  • 4.7.4 Threat of Substitutes
  • 4.7.5 Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Deployment Type
  • 5.1.1 Cloud
  • 5.1.2 On-Premise
• 5.2 By Component
  • 5.2.1 Solutions
    • 5.2.1.1 Stream Processing Engines
    • 5.2.1.2 Streaming Analytics Software
    • 5.2.1.3 Event Visualization and Dashboarding
  • 5.2.2 Services
    • 5.2.2.1 Professional Services
    • 5.2.2.2 Managed Services
• 5.3 By Application
  • 5.3.1 Fraud Detection and Risk Analytics
  • 5.3.2 Algorithmic and High-Frequency Trading
  • 5.3.3 Process and Operations Monitoring
  • 5.3.4 Location Intelligence and Geospatial Analytics
  • 5.3.5 Sales and Marketing Personalization
  • 5.3.6 Customer Experience and Sentiment Analysis
  • 5.3.7 Other Application
• 5.4 By End-User Vertical
  • 5.4.1 IT and Telecommunications
  • 5.4.2 BFSI
  • 5.4.3 Manufacturing
  • 5.4.4 Retail and eCommerce
  • 5.4.5 Energy and Utilities
  • 5.4.6 Healthcare and Life Sciences
  • 5.4.7 Transportation and Logistics
  • 5.4.8 Others
• 5.5 By Geography
  • 5.5.1 North America
    • 5.5.1.1 United States
    • 5.5.1.2 Canada
    • 5.5.1.3 Mexico
  • 5.5.2 South America
    • 5.5.2.1 Brazil
    • 5.5.2.2 Argentina
    • 5.5.2.3 Rest of South America
  • 5.5.3 Europe
    • 5.5.3.1 Germany
    • 5.5.3.2 United Kingdom
    • 5.5.3.3 France
    • 5.5.3.4 Italy
    • 5.5.3.5 Spain
    • 5.5.3.6 Rest of Europe
  • 5.5.4 Asia Pacific
    • 5.5.4.1 China
    • 5.5.4.2 Japan
    • 5.5.4.3 South Korea
    • 5.5.4.4 India
    • 5.5.4.5 Australia
    • 5.5.4.6 New Zealand
    • 5.5.4.7 Rest of Asia-Pacific
  • 5.5.5 Middle East and Africa
    • 5.5.5.1 Middle East
      • 5.5.5.1.1 United Arab Emirates
      • 5.5.5.1.2 Saudi Arabia
      • 5.5.5.1.3 Turkey
      • 5.5.5.1.4 Rest of Middle East
    • 5.5.5.2 Africa
      • 5.5.5.2.1 South Africa
      • 5.5.5.2.2 Nigeria
      • 5.5.5.2.3 Kenya
      • 5.5.5.2.4 Rest of Africa

6 COMPETITIVE LANDSCAPE

• 6.1 Market Concentration
• 6.2 Strategic Moves
• 6.3 Market Share Analysis
• 6.4 Company Profiles (includes Global Level Overview, Market Level Overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share, Products and Services, Recent Developments)
  • 6.4.1 Confluent Inc.
  • 6.4.2 IBM Corporation
  • 6.4.3 Amazon Web Services Inc.
  • 6.4.4 Microsoft Corporation
  • 6.4.5 Google LLC
  • 6.4.6 Oracle Corporation
  • 6.4.7 SAP SE
  • 6.4.8 TIBCO Software Inc.
  • 6.4.9 Hazelcast Inc.
  • 6.4.10 Cloudera Inc.
  • 6.4.11 SAS Institute Inc.
  • 6.4.12 Hitachi Vantara LLC
  • 6.4.13 Informatica Inc.
  • 6.4.14 Redpanda Data Inc.
  • 6.4.15 Ververica GmbH
  • 6.4.16 Databricks Inc.
  • 6.4.17 Software AG
  • 6.4.18 Lightbend Inc.
  • 6.4.19 StreamNative Inc.
  • 6.4.20 Imply Data Inc.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment