Event Stream Processing Market by Component (Solutions and Services), Deployment (Cloud and On-premises), Enterprise Size (Large Enterprises and Small & Medium Enterprises [SMEs]), Application (Fraud Detection, Algorithmic Trading, Network Monitoring, Sales and Marketing, and Predictive Maintenance), and Industry Vertical (Manufacturing, Retail & E-commerce, Energy & Utilities, Media & Entertainment, Transportation & Logistics, IT & Telecommunications, Banking, Financial Services & Insurance (BFSI), and Others): Global Opportunity Analysis and Industry Forecast, 2019-2026
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Event stream processing is a technology consisting mathematical algorithms that query a continuous data stream. There are various functionalities under event stream processing including event visualization, event-driven middleware, event databases, and others. The stream of data is analyzed within a period from few milliseconds to minutes. Event stream processing is also known as complex event processing, real-time analytics, streaming analytics, real-time streaming analytics, and event processing.
Event streaming processing technology is widely used to analyze huge amount of real-time data owing to its ability to capture, analyze, and respond on a continuous flow of business information. Hence, the global event stream processing market forecasts the growth factors among various industry verticals. For example, with the help of event stream processing, an alert can be sent to the designated user when the temperature has reached the freezing point by querying or analyzing the data streams coming from a temperature sensor.
Technological advancements to create microscopic scale sensors has led to rise in number of data silos from IoT and smart devices. These devices continuously generate real-time data that needs to be constantly analyzed for the state of event, based on the sensors used in these devices. Hence the demand for machine-based communications is driving the adoption of event stream processing to filter, mash up, compare, contrast, interpolate and extrapolate stream data. This is expected to drive the growth of the global event stream processing market. In addition, increase in implementation of wireless connectivity and communication technologies in electronic equipment also boosts the adoption of event stream processing in the manufacturing sector.
Rise in need to analyze large volumes of data from diverse sources to gain real-time insights is another factor expected to fuel the growth of the global event stream processing market. For example, e-commerce retailers are optimizing the online and in-store shopping experience for the customers with the help of sensors that help detect in-store behavior by analyzing streaming data within the store such as inventory, social media chats, and online-shop user profiles to customize and offer personal experience while the purchase decision is underway. However, concerns associated with data security and privacy are expected to hamper the growth of the global event stream processing market. Furthermore, growth in cloud adoption is expected to create significant growth opportunities for the global event stream processing market.
The global event stream processing market is segmented based on component, deployment, enterprise size, application, industry vertical, and region. Based on component, it is bifurcated into solutions and services. By solutions, the market is further sub-segmented into platforms and software tools. By services, the market is further sub-segmented into managed services and professional services. Based on deployment, the market is categorized into cloud and on-premises. Based on enterprise size, it is classified into large enterprises and small & medium enterprises (SMEs).
Based on application, it is categorized into fraud detection, algorithmic trading, network monitoring, sales and marketing, and predictive maintenance. Based on industry vertical, it is classified into manufacturing, retail & e-commerce, energy & utilities, media & entertainment, transportation & logistics, IT & telecommunications, banking, financial services & insurance (BFSI), and others. Based on region, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
This report provides the profiles of the key players in the global event stream processing market, which include IBM Corporation, Microsoft Corporation, Oracle Corporation, Amazon Web Services, Inc., SAP SE, SAS Institute, Inc., Google LLC, Fair, Isaac and Company (FICO), Software AG, Red Hat, Inc., Hitachi Vantara Corporation, TIBCO Software, Inc., Informatica LLC, Salesforce.com, Inc., and WebAction, Inc. (Striim, Inc.)
Key Benefits for Stakeholders
- The study provides an in-depth analysis of the global event stream processing market along with the current trends and future estimations to elucidate the imminent investment pockets.
- Information about key drivers, restraints, and opportunities and their impact analysis on the global event stream processing market size is provided.
- Porter’s five forces analysis illustrates the potency of buyers and suppliers operating in the global event stream processing industry.
- The quantitative analysis of the global event stream processing market from 2018 to 2026 is provided to determine the market potential.
Key Market Segments
By Component
- SolutionsÂ
- Platforms
- Software Tools
- Services
- Â Managed Services
- Professional Services
By Deployment
- Cloud
- On-premises
By Enterprise Size
- Large EnterprisesÂ
- Small & Medium Enterprises (SMEs)
By Application
- Fraud Detection
- Algorithmic Trading
- Network Monitoring
- Sales and Marketing
- Predictive Maintenance
By Industry Vertical
- Manufacturing
- Retail & E-commerce
- Energy & Utilities
- Media & Entertainment
- Transportation & Logistics
- IT & Telecommunications
- Banking, Financial Services & Insurance (BFSI)
- Others
By Region
- North America
- U.S.
- Canada
- EuropeÂ
- UK
- GermanyÂ
- France
- Rest of Europe
- Asia-PacificÂ
- China
- India
- Japan
- Singapore
- Rest of Asia-Pacific
- LAMEA
- Latin AmericaÂ
- Middle East
- Africa
Key Market Players
- IBM Corporation
- Microsoft Corporation
- Oracle Corporation
- Amazon Web Services Inc.
- SAP SE
- SAS Institute Inc.
- Google LLCÂ
- Fair Isaac and Company (FICO)
- Software AGÂ
- Red Hat Inc.
- Hitachi Vantara Corporation
- TIBCO Software, Inc.
- Informatica LLC
- Salesforce.com Inc.
- WebAction Inc. (Striim, Inc.)
We offer our clients exhaustive research and analysis based on wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics and regional intelligence. Our in-house industry experts play instrumental role in designing analytic tools and models, tailored to the requirements of particular industry segment. These analytical tools and models sanitize the data & statistics and enhance the accuracy of our recommendations and advice. With AMR’s calibrated research process and 360` degree data-evaluation methodology, our clients are assured of receiving:
- Consistent, valuable, robust and actionable data & analysis that can easily be referenced for strategic business planning
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With a strong methodology we are, therefore, confident that our research and analysis are most reliable and guarantees sound business planning.
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Our primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks and face-to-face interactions. We are also in professional corporate relations with various companies that allow us greater flexibility for reaching out industry participants and commentators for interviews and discussions, fulfilling following functions:
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Our primary research interview and discussion panels are typically composed of most experienced industry members. These participants include; however, not limited to:
- Chief executives and VPs of leading corporations specific to industry
- Product and sales managers or country heads; channel partners and top level distributors; banking, investments and valuation experts Key opinion leaders (KOLs)
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