Various organizations across the globe are focused on producing large amounts of data in a myriad type of format. Earlier, organizations were involved in storing and capturing data and use it to extract insights from the database whenever required. Although, currently various organizations are focusing on extracting the benefits of real time data analytics and have thus started adopting streaming analytics rapidly in their overall operations. Streaming analytics aids organizations in creating increased revenues by increasing the total efficiency of operations and by cutting down the preventable losses. Streaming analytics find wide range of applications in customer engagement, real-time marketing, real-time patient monitoring systems, algorithmic trading, supply chain optimization & procurement, intelligence and surveillance, IT and network monitoring, oil & gas operations management, vehicle tracking, real time call center analysis, route monitoring and other array of applications. Streaming analytics is known as a fully managed, efficient and affordable processing engine which can help in feasible processing of real time events efficiently and effectively. The streaming analytical engine helps in extracting key insights from an array of data and information easily and conveniently. Despite setting up analytical computations on streaming from applications, websites and more, streaming analytics is efficiently capable of managing other high events as well.
Increasing demand for advanced technological solutions in order to procure real time decisions on different and dynamic business events is one of the key factors bolstering the deployment of streaming analytics in large enterprises across the globe. Also, rising adoption of internet of things across every industry vertical is another key aspect likely to boost the overall demand for data streaming solutions which is another major factor anticipated to drive the growth of global streaming analytics market over the forecast period. However, factors such as privacy concerns and data security as well as less return on investments are anticipated to hamper the overall growth of global streaming analytics market.
The global streaming analytics market can be segmented on the basis of type, application, deployment model, industry vertical and region. On the basis of type, the global streaming analytics market can be segmented into software and service (professional services and managed services). On the basis of application, the global streaming analytics market can be segmented into fraud detection, sales and marketing management, predictive assist management, risk management, network management and optimization, location intelligence, operations management and other applications. By deployment model, the global streaming analytics market can be segmented into on-premise and on-demand. On the basis of industry vertical, the global streaming analytics market can be segmented into BFSI, telecommunication & IT, retail & e-commerce, healthcare & life sciences, manufacturing, government & defense, energy & utilities, transportation & logistics, media & entertainment and others. On the basis of region, the global streaming analytics market can be segmented into North America, Latin America, Europe, Middle East & Africa (MEA) and Asia-Pacific.
Key players involved in the global streaming analytics market are focusing on key market strategies including mergers and acquisitions with local as well as established players. Moreover, companies are also focusing on collaborating with local players to increase their reach across all geographies and earn huge profits. Partnership with multinational companies to strengthen their market reach and goodwill is also anticipated to be a major market strategy in the global streaming analytics market. Some of the major players involved in global streaming analytics market include Tibco Software Inc., IBM Corporation, Microsoft Corporation, Oracle Corporation, Software AG, Vitria Technology Inc., SAP SE, Informatica Corporation, Sqlstream Incorporated and SAS Institute Inc. among others.
Market by Type
· Service (professional services and managed services)
Market by Application
· Fraud detection
· Sales and marketing management
· Predictive assist management
· Risk management
· Network management and optimization
· Location intelligence
· Operations management
Market by Deployment Model
Market by Industry Vertical
· Telecommunication & IT
· Retail & e-commerce
· Healthcare & life sciences
· Government & defense
· Energy & utilities
· Transportation & logistics
· Media & entertainment
Market by Geography
· North America
o Rest of Europe
o Rest of Asia-Pacific
· Latin America
o Rest of Latin America
· Middle East and Africa (MEA)
o South Africa
o Saudi Arabia
o Rest of MEA
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