Streaming Analytics Market Growth Analysis, Industry Trends, Sales Revenue, Future Development Status and Forecast by 2027

Market Scenario:

According to Market Research Future (MRFR), the global Streaming Analytics Market Growth 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.

COVID-19 Analysis:

The business impact of SARS-CoV-2 has been felt across diverse sections of the information technology industry, albeit at different levels. Companies in the technology sector that supply services for verticals like travel, retail, hospitality, and entertainment have noted a dramatic decrease in sales, while the firms that provide services related to remote worker solutions have observed the opposite. Streaming Analytics Market Growth fate post pandemic has been relatively less grim compared to Education Services (ES) and Professional Services (PS) that are mostly dependent on components that are generally on-site. Novel coronavirus has Streaming Analytics Market Growth toopen new avenues for those firms that are on the lookout for solutions that are reliable, efficiently managed, scalable, and are subscription-based, to remain more focused on the core business. The Streaming Analytics Market Growth is bearing lesser impact of the COVID-19 outbreak compared to most other segments of the tech world.

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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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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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