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The market size for global event stream processing is projected to reach USD 3,157 million by 2028. The factors such as the growing demand for smart devices and the Internet of Things (IoT) driving the implementation of event stream processing solutions, along with the rising focus on analyzing enormous volumes of data from several sources to achieve real-time insights, are responsible for the event stream processing industry growth.
The event stream processing solutions are primed to grow at breakneck speed with the propagation of data. Event stream processing comprises mathematical algorithms that query a constant data stream. There are several functionalities in the event stream processing containing event visualization, event databases, event-driven middleware, and others. The flow of data is evaluated within a time from a few milliseconds to minutes. The event stream processing is also recognized as complex event processing, real-time analytics, event processing, real-time streaming analytics, and streaming analytics.
Key Segments of the Global Event Stream Processing Market
Application Overview, 2018-2028 (USD Million)
Type Overview, 2018-2028 (USD Million)
End-User Overview, 2018-2028 (USD Million)
Regional Overview, 2018-2028 (USD Million)
Reasons for the study
What does the report include?
Who should buy this report?
Technological developments to produce microscopic scale sensors have led to the growth in the number of data silos from smart devices and IoT. These devices constantly generate real-time data that requires to be continuously analyzed for the state of the event, depending on the sensors that are used in these devices. Thus, the demand for machine-based communications is fueling the adoption of event stream processing solutions to filter, compare, mashup, contrast, extrapolate, and interpolate stream data.
This is predicted to drive the global event processing industry growth. Also, an increase in the implementation of wireless connectivity & communication technologies in electronic equipment boosts the acceptance of event stream processing within the BFSI, IT & telecom, and manufacturing sectors. Growth in the need to scrutinize enormous volumes of data from several sources to attain real-time insights is another reason for the rise in the global event stream processing industry.
For instance, e-commerce retailers are enhancing the in-store and online and shopping experience for their consumers with the help of sensors that enable them to detect in-store behavior by evaluating streaming data within the store including social media chats, inventory, and online-shop user profiles to personalize and offer enhanced experience while the purchase decision is ongoing. Yet, concerns related to data privacy and security are likely to restrict the growth of the event stream processing industry. Moreover, the rise in cloud adoption is projected to create important growth prospects for the global event stream processing market in the coming years.
Application Segment
The global event stream processing market contains algorithmic trading, fraud detection, network monitoring, predictive maintenance, sales and marketing management, and others. In 2019, the fraud detection application is likely to hold a dominating position in the event stream processing market over the forecast period. Enterprises have enormous data volume and lack efficient tools to evaluate the threats, which leads to fraudulent activities to go unobserved. Large enterprises have implemented several technologies to inhibit enterprise data from threats. Thus, the adoption of a cloud-based, cost-effective solution is probably to fuel the industry for fraud detection in the event stream processing market.
Type Segment
Based on the usage segment, the market is segmented into analytics, and data integration. The analytics segment to grow at a significant CAGR from 2020 to 2028. Organizations across several industry verticals are making heavy investments in AI and data analytics, with viewing to predict consumer preference & behavior, to deliver a better experience.
End-User Segment
Based on the end-user segment, the market is bifurcated into manufacturing, retail & e-commerce, BFSI, media & entertainment, energy and utilities, IT & telecom, travel & hospitality, others. The retail & e-commerce sector is anticipated to grow at a considerable growth rate throughout the forecast period. On the other hand, the BFSI sector is anticipated is to hold a major share since this sector produces a massive amount of data compared to other industry verticals. By deploying event stream processing platforms, insurance and financial organizations can gain a competitive advantage by evaluating real-time streaming data to execute various activities.
There are several applications within this sector where event stream processing platforms and solutions can prove beneficial. Moreover, the increasing number of regulations concerning customer data security owing to the increasing data breaches and malware shall drive the industry growth within the sector.
The global event stream processing solution industry is a wide range to North America, Europe, Asia Pacific, South America, and the Middle East & Africa. The Asia Pacific region is expected to grow at a considerable growth rate with the countries such as India as the highest event stream processing market. Countries such as Japan, China, and South Korea are anticipated to be at the forefront in the adoption of event stream processing owing to increased technological investment in the countries. Moreover, the rising trend of the cloud-based solution in medium and large industries propels the demand for event stream processing in the region.
The major players of the global event stream processing solution market are IBM, Microsoft, Oracle, SAS, SAP, TIBCO, Google, Informatica, Hitachi Vantara, Software AG, Salesforce, AWS, Redhat, FICO, Impetus Technologies, Radicalbit, Streamlio, data Artisans, Equalum, Striim, and more. The event stream processing solution market is fragmented with the existence of well-known global and domestic players across the globe.
The market size for global event stream processing is projected to reach USD 3,157 million by 2028. The factors such as the growing demand for smart devices and the Internet of Things (IoT) driving the implementation of event stream processing solutions, along with the rising focus on analyzing enormous volumes of data from several sources to achieve real-time insights, are responsible for the event stream processing industry growth.
The event stream processing solutions are primed to grow at breakneck speed with the propagation of data. Event stream processing comprises mathematical algorithms that query a constant data stream. There are several functionalities in the event stream processing containing event visualization, event databases, event-driven middleware, and others. The flow of data is evaluated within a time from a few milliseconds to minutes. The event stream processing is also recognized as complex event processing, real-time analytics, event processing, real-time streaming analytics, and streaming analytics.
Key Segments of the Global Event Stream Processing Market
Application Overview, 2018-2028 (USD Million)
Type Overview, 2018-2028 (USD Million)
End-User Overview, 2018-2028 (USD Million)
Regional Overview, 2018-2028 (USD Million)
Reasons for the study
What does the report include?
Who should buy this report?
Chapter 1 Introduction
1.1 Introduction to the Study
1.2 Market Definition and Scope
1.3 Units, Currency, Conversions, and Years Considered
1.4 Key Stakeholders
1.5 Key Questions Answered
Chapter 2 Research Methodology
2.1 Introduction
2.2 Data Capture Sources
2.2.1 Primary Sources
2.2.2 Secondary Sources
2.3 Market Size Estimation
2.4 Market Forecast
2.5 Data Triangulation
2.6 Assumptions and Limitations
Chapter 3 Executive Summary
Chapter 4 Market Outlook
4.1 Introduction
4.2 Value Chain Analysis
4.3 Market Dynamics
4.3.1 Drivers
4.3.1.1 Increasing demand for smart devices and IoT to drive the implementation of ESP solutions
4.3.1.2 Growth in need to evaluate large volumes of data from different sources to achieve real-time insights
4.3.2 Restraints
4.3.2.1 Concerns over data security
4.3.3 Opportunities
4.5 PEST Analysis
4.6 COVID-19 Impact Analysis
Chapter 5 Event Stream Processing Market by Application
5.1 Introduction
5.1.1 Fraud Detection
5.1.2 Predictive Maintenance
5.1.3 Algorithmic Trading
5.1.4 Network Monitoring
5.1.5 Sales and Marketing Management
5.1.6 Others
Chapter 6 Event Stream Processing Market by Type
6.1 Introduction
6.1.1 Reporting
6.1.2 Data Integration
Chapter 7 Event Stream Processing Market by End-User
7.1 Introduction
7.1.1 Retail & E-Commerce
7.1.2 Manufacturing
7.1.3 BFSI
7.1.4 IT & Telecom
7.1.5 Media & Entertainment
7.1.6 Energy & Utilities
7.1.7 Travel & Hospitality
7.1.8 Others
Chapter 8 Event Stream Processing Market by Region
8.1 Introduction
8.2 North America
8.2.1 U.S.
8.2.2 Canada
8.3 Europe
8.3.1 Germany
8.3.2 France
8.3.3 UK
8.3.4 Rest of Europe
8.4 Asia Pacific
8.4.1 China
8.4.2 Japan
8.4.3 India
8.4.4 Rest of Asia Pacific
8.5 Middle East & Africa
8.5.1 UAE
8.5.2 South Africa
8.5.3 Rest of Middle East & Africa
8.6 South America
8.6.1 Brazil
8.6.2 Rest of South America
Chapter 9 Competitive Landscape
9.1 Overview
9.2 Strategic Initiatives
9.2.1 Mergers & Acquisitions
9.2.2 New Product Launch
9.2.3 Investments
9.2.4 Expansion
9.2.5 Others
Chapter 10 Company Profiles
10.1 Google
10.1.1 Overview
10.1.2 Products and Services Portfolio
10.1.3 Recent Initiatives
10.1.4 Company Financials
10.1.5 SWOT
10.2 Hitachi Vantara
10.2.1 Overview
10.2.2 Products and Services Portfolio
10.2.3 Recent Initiatives
10.2.4 Company Financials
10.2.5 SWOT
10.3 IBM
10.3.1 Overview
10.3.2 Products and Services Portfolio
10.3.3 Recent Initiatives
10.3.4 Company Financials
10.3.5 SWOT
10.4 Informatica
10.4.1 Overview
10.4.2 Products and Services Portfolio
10.4.3 Recent Initiatives
10.4.4 Company Financials
10.4.5 SWOT
10.5 Microsoft
10.5.1 Overview
10.5.2 Products and Services Portfolio
10.5.3 Recent Initiatives
10.5.4 Company Financials
10.5.5 SWOT
10.6 Oracle
10.6.1 Overview
10.6.2 Products and Services Portfolio
10.6.3 Recent Initiatives
10.6.4 Company Financials
10.6.5 SWOT
10.7 SAP
10.7.1 Overview
10.7.2 Products and Services Portfolio
10.7.3 Recent Initiatives
10.7.4 Company Financials
10.7.5 SWOT
10.8 SAS
10.8.1 Overview
10.8.2 Products and Services Portfolio
10.8.3 Recent Initiatives
10.8.4 Company Financials
10.8.5 SWOT
10.9 Software AG
10.9.1 Overview
10.9.2 Products and Services Portfolio
10.9.3 Recent Initiatives
10.9.4 Company Financials
10.9.5 SWOT
10.10 TIBCO
10.10.1 Overview
10.10.2 Products and Services Portfolio
10.10.3 Recent Initiatives
10.10.4 Company Financials
10.10.5 SWOT
10.11 Other Companies