Cloud Network Infrastructure Market Share, Business Overview, Challenges, Opportunities Share Global Analysis and Forecast to 2027

According to
Market Research Future (MRFR), the global Streaming
Analytics Market is expected to grow at
approximately USD 16 Billion at 33% CAGR between 2017 and 2023 (forecast
period). The report describes and discusses the effect of the outbreak of
COVID-19 on the global streaming analytics market, including potential
opportunities and challenges, drivers, and risks.
Streaming
analytics, also identified as event stream processing, is the analysis of large
pools of current and "in-motion" data by the application of constant
queries, called event streams. These streams are triggered by a specific event
that occurs as a direct result of an action or a series of actions, such as a
financial transaction, a failure of the equipment, a social post or a website
click, or some other measurable activity. Data can originate from the Internet
of Things (IoT), transactions, mobile devices, cloud applications, web
interactions, and machine sensors. By using streaming analytics platforms,
organizations can derive business value from data in motion, just as
traditional analytics tools will allow them to do with rest data. Real-time
streaming analytics benefit a number of industries by detecting opportunities
and risks.
Streaming
analytics advantages include data visualization, increased competitiveness,
elimination of preventable losses, analysis of routine business operations,
identifying missed opportunities, generating new opportunities, and many more.
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Competitive Outlook:
The industry giants in
the streaming analytics market are Apache Software Foundation (U.S.), Oracle
Corporation (U.S.), Microsoft Corporation (U.S.), SAP SE (Germany), Informatica
Corporation (U.S.), Software Ag (Germany), Datatorrent (U.S.), Tibco Software
(U.S.), Impetus Technologies (U.S.), SQLstream (U.S.) among others.
Segmentation:
The global market for
streaming analytics has been segmented based on components, application,
deployment, organization size, and vertical.
By component, the global
streaming analytics market has been segmented into software and service. The
service segment involves managed service and professional service. Managed
Services can be described as the proactive management of an information
technology asset or object by a third party commonly known as an MSP on behalf
of the end-user. The operative difference that separates the managed service
program is the proactive delivery of their services as opposed to the reactive
IT services that have been around for decades. The key factors that contribute
to the growth of managed services are the rise in digital information, the need
to secure it, a growing trend in bring your own devices, flexibility to meet
custom requirements, a constant increase in reliance on heterogeneous networks,
and a consistent increase in the complexity of technical solutions.
Regional
Analysis:
The regional analysis of
the global streaming analytics market is being studied for regions such as the
Asia Pacific, Americas, Europe, and the Rest of the World.
The North America region
has the largest market share in the streaming analytics market due to the
presence of major players in the area, and the adoption of advanced analytics
tools by small and large companies is driving the market in the region.
Countries such as the United States and Canada contribute a substantial amount
of revenue to the streaming analytics market in the region. The Asia Pacific
region is expected to rise at the highest CAGR. Enterprises in the region are
investing heavily in streaming analytical tools to increase business efficiency
and productivity, BI analytics, and various opportunities for diverse
industrial verticals to raise the demand in the region.
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Full Report Details @ https://www.marketresearchfuture.com/reports/streaming-analytics-market-4409
Table of Contents:
1 Executive
Summary
2 Scope of the
Report
2.1 Market
Definition
2.2 Scope
of the Study
2.2.1 Research objectives
2.2.2 Assumptions & Limitations
2.3 Markets
Structure
3 Market Research
Methodology
3.1 Research
Process
3.2 Secondary
Research
3.3 Primary
Research
3.4 Forecast
Model
Continued….
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