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Event Stream Processing Market Major market players by 2020 - IBM Corporation, Microsoft Corporation, Oracle Corporation, Amazon Web Services, Inc., SAP SE, SAS Institute

03-17-2020 02:28 PM CET | IT, New Media & Software

Press release from: Allied Market Research

Event Stream Processing Market

Event Stream Processing Market

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.

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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.

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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.)

Access full summary report at https://www.alliedmarketresearch.com/event-stream-processing-market

The market is evaluated based on its regional penetration, explaining the performance of the market in each regional market covering provinces such as North America (United States, Canada and Mexico), Europe (Germany, France, UK, Russia and Italy), Asia-Pacific (China, Japan, Korea, India and Southeast Asia), South America (Brazil, Argentina, Colombia), Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

Key drivers that are propelling the growth of the market included in the report. Additionally, challenges and restraining factors that are likely to curb the growth of the market are put forth by the analysts to prepare the manufacturers for future challenges in advance.

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Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Portland, Oregon. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of "Market Research Reports" and "Business Intelligence Solutions." AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain.

We are in professional corporate relations with various companies and this helps us in digging out market data that helps us generate accurate research data tables and confirms utmost accuracy in our market forecasting. Each and every data presented in the reports published by us is extracted through primary interviews with top officials from leading companies of domain concerned. Our secondary data procurement methodology includes deep online and offline research and discussion with knowledgeable professionals and analysts in the industry.

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