Streaming Analytics Market, By Component (Software, Service), By Service (Professional Service, Managed Service), By Application (Predictive Asset Maintenance, Fraud Detection), By Deployment (Cloud, On-Premise) - Forecast 2027

Market Overview:
The Streaming Analytics Market is generating a higher market value of USD 16 Billion by the end of the year 2023. Further, it has expectations to generate a 33% CAGR of market revenue from 2017 to 2023. Regionally, the North American region is predicted to generate the highest Streaming Analytics Market Size for the forecast period due to the adoption of advanced analytics tools by small and big enterprises and the presence of major players in the region. In this region, countries like the US and Canada are contributing large market revenue for the reviewed period. Along with that, the Asia‐Pacific region is predicted to generate the highest CAGR for the reviewed period. This region is boosting up the growth of the Streaming Analytics Market because of the adoption of BI analytics, huge investment in streaming analytical tools for improving business efficiency and productivity, and numerous opportunities in different industry verticals.

The Streaming Analytics Market is classified based on the deployment, organization size, components, application, and vertical. Among these, the service segment is sub-segmented into professional service and managed service. The deployment segmentation includes cloud and on-premise. Among these, the cloud solution is expected to generate the highest market share for the forecast period. It reduces IT infrastructure's cost by focusing on core business competencies. The Streaming Analytics Market is gaining more popularity as it is providing information related to managing and coordinating business activities, offers data integrity, offers data protection and security to enterprises, helps in increasing the overall business productivity, and efficiently manages storage and privacy issues. Further, the increase in digital information, increasing trend of bringing your own devices, the need to secure it, continuous upsurge in dependency over heterogeneous networks, flexibility to match custom requirements, and persistent rise in the complexity of technological solutions are some of the major growth driving factors to the Streaming Analytics Market.

The Streaming Analytics Market report explains that the quality of streaming analytics and services has increased its demand across various regions. The global market has highlighted the COVID-19 analysis to understand the positive and negative impact on the global productivity of the global market. Moreover, the market dynamics, segmental overview, regional analysis, a competitive analysis have been observed to understand the Streaming Analytics Market’s growth and development in the present scenario. Further, the recent developments have been analyzed to understand the growth potentials of the companies in various regions.

Covid-19 Analysis:
The ongoing pandemic had a substantial impact on economies and societies as well as the global Streaming Analytics Market and their customer behavior. Due to the social distancing policies and work-from-home in effect, the global market has been hampered by its growth. The global market has lost its investors, productivity, supply chains, and others due to the lockdown across various regions. Moreover, the key players of the Streaming Analytics Market have experienced various challenges due to the data infrastructure inflexibility.

Hence, the key players are trying to fight the global pandemic situation by ensuring the privacy and security of data across various networks and keeping their assets online.

Market Dynamics:
Market Key Drivers
The increase in digital information, increasing trend of bringing your own devices, the need to secure it, continuous upsurge in dependency over heterogeneous networks, flexibility to match custom requirements, and persistent rise in the complexity of technological solutions are some of the major growth driving factors to the Streaming Analytics Market.

Hence, key players are giving their strength to uplift the growth of the global Streaming Analytics Market by generating higher market revenue.

Growth Opportunities:
The Global Streaming Analytics Market has more opportunities due to anomaly detection to gain traction, real-time recommendations, and pattern detection.

Moreover, the Asia-Pacific region is boosting up the growth of the Streaming Analytics Market because of the adoption of BI analytics, huge investment in streaming analytical tools for improving business efficiency and productivity, and numerous opportunities in different industry verticals.

Market Restraints:
Although, emerging technologies such as AI, big data, and IoT are driving the growth of the global Streaming Analytics Market. Still, it has some market restraints due to the lack of integration of legacy systems with solutions of streaming analytics.

As a result, the Global Streaming Analytics Market keeps on trying to grow its productivity with the help of various key players.

Challenges for the Market:
In a decentralized environment, large-scale handling of data can be the biggest challenge for the global Streaming Analytics Industry market. Another challenge can be eradicating the regional boundaries to meet up the increasing demand across the various region.

Hence, the Streaming Analytics Market Players are engaged in developing their supply chain across various regions. Further, the key players are applying unique and suitable strategies to combat these challenges.

Cumulative Growth Analysis:
The Streaming Analytics Market is generating a higher market value of USD 16 Billion by the end of the year 2023. Further, it has expectations to generate a 33% CAGR of market revenue from 2017 to 2023.

Therefore, the Streaming Analytics Market Players have imposes various strategic plans to uplift their Streaming Analytics Industry businesses. Further, it has aimed to generate more market share for the forecast period of 2023.

Market segmentation Overview:
By Services:

• Based on the services segmentation, the global Streaming Analytics Market Segments has been classified into two types of services: Professional services and Managed Services.


• The Streaming Analytics Market Analysis report explains that these two service types are boosting up the global market's growth for the forecast period.

By Organisation Sizes:

• According to the organization size segment, the global Streaming Analytics Market has been classified into Small & Medium Enterprises (SMEs) and Large Enterprises.


• The Streaming Analytics Market Report explains that the Small and Medium-Sized Enterprises (SMEs) segment is registered to generate a higher market share for the forecast period.

By Deployment:

• Based on the deployment segmentation, the global Streaming Analytics Market has been classified into Cloud and On-Premise.


• Among these two segments, cloud-based streaming analytics is enhancing the growth of the global market across different regions.

By Applications:

• Based on the applications segmentation, the global Streaming Analytics Market has been classified into different applications such as Predictive Asset Maintenance, Risk Management, Fraud Detection, Sales and Marketing Management, Network Management and Optimization, Operations Management, Location Intelligence, and Others.


• All these applications are boosting up the Streaming Analytics Market Growth across various regions.

By Verticals:

• According to the vertical segmentation, the global Streaming Analytics Business has been segmented based on the BFSI, Healthcare, Retail, Energy & Utilities, Government and Defense, Education, IT & Telecommunication, and Others.


• The IT & telecommunication segment is predicted to increase the market share for the forecast period among all these verticals.

Regional Analysis:
According to the regional analysis report, the global Streaming Analytics Market has some important regions for its business, such as Asia-Pacific, North America, Europe, South America, and other parts of the world.

The North American region is predicted to generate the highest Streaming Analytics Market Size for the forecast period due to the adoption of advanced analytics tools by small and big enterprises and the presence of major players in the region. In this region, countries like the US and Canada are contributing large market revenue for the reviewed period. Along with that, the Asia‐Pacific region is predicted to generate the highest CAGR for the reviewed period. This region is boosting up the growth of the Streaming Analytics Market because of the adoption of BI analytics, huge investment in streaming analytical tools for improving business efficiency and productivity, and numerous opportunities in different industrial verticals.

Competitive Analysis:
The global Streaming Analytics Market has various key players such as:

• Datatorrent (US)


• SAP SE (Germany)


• Apache Software Foundation (US)


• Microsoft Corporation (US)


• Oracle Corporation (US)


• Impetus Technologies (US)


• SQLstream (US)


• Informatica Corporation (US)


• Software Ag (Germany)


• Tibco Software (US)

These key players have their specific identical roles in uplifting the global market. Their collective effort is increasing the global demand for Streaming Analytics.

Recent Developments:
In April 2020, novel AI-powered technologies were released by IBM concerning the treatments for COVID-19 and to help the health and research community.

In April 2019, the SAP HANA database in the cloud and on-premises had been announced by SAP to offer instant access to critical data.

Report Overview:
The Streaming Analytics Market report explains that the quality of streaming analytics and services has increased its demand across various regions. The global market has highlighted the COVID-19 analysis to understand the positive and negative impact on the global productivity of the global market. Moreover, the market dynamics, segmental overview, regional analysis, a competitive analysis have been observed to understand the Streaming Analytics Market’s growth and development in the present scenario. Further, the recent developments have been analyzed to understand the growth potentials of the companies in various regions.

Segmental Table:
By Services:

• Professional services


• Managed services

By Organisations Sizes:

• Small & Medium Enterprises (SMEs)


• Large Enterprises

By Deployment:

• Cloud


• On-Premise

By Application:

• Predictive Asset Maintenance,


• Risk Management,


• Fraud Detection,


• Sales and Marketing Management,


• Network Management and Optimization,


• Operations Management,


• Location Intelligence,


• Others

By Verticals:

• BFSI


• Healthcare


• Retail


• Energy & Utilities


• Government and Defense


• Education


• IT & Telecommunication


• Others

Report Scope:

Report Attribute/Metric	Details
Market Size	USD 16 Billion (2023)
CAGR	33% (2017-2023)
Base Year	2019
Forecast Period	2020-2027
Historical Data	2018
Forecast Units	Value (USD Billion)
Report Coverage	Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
Segments Covered	By Component, By Service, By Application
Geographies Covered	North America, Europe, Asia-Pacific, and Rest of the World (RoW)
Key Vendors	Apache Software Foundation (U.S.), Microsoft Corporation (U.S.), Datatorrent (U.S.), SAP SE (Germany), Oracle Corporation (U.S.), Informatica Corporation (U.S.), Software Ag (Germany), Tibco Software (U.S.), Impetus Technologies (U.S.), SQLstream (U.S.)
Key Market Opportunities	Enterprises in the region are investing huge in streaming analytical tools to improve business efficiency and productivity, adoption of BI analytics and numerous opportunities in varied industrial vertical is boosting the market in the region.
Key Market Drivers	The key drivers contributing to the growth of the managed services are rise in digital information, the need to secure it, increasing trend of bring your own devices, flexibility to match custom requirements, continuous upsurge in dependency over heterogeneous networks, and persistent rise in the complexity of technological solutions.

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