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Streaming Analytics Market Analysis

ID: MRFR//3000-HCR | 100 Pages | Author: Shubham Munde| April 2024

The Streaming Analytics market is currently experiencing dynamic shifts, fueled by the increasing volume of real-time data and the growing demand for actionable insights. Streaming analytics involves the analysis of data in motion, allowing businesses to process and derive insights from continuous streams of information. One of the primary factors influencing market dynamics is the surge in the generation of real-time data from various sources, including sensors, social media, and IoT devices. As organizations strive to harness the value of this data instantly, the adoption of streaming analytics solutions is on the rise.

The evolution of cloud computing is playing a pivotal role in shaping the Streaming Analytics market. Cloud-based streaming analytics platforms offer scalability, flexibility, and cost-effectiveness, making it easier for businesses to handle the dynamic nature of streaming data. Cloud solutions enable organizations to deploy and scale streaming analytics applications more efficiently, facilitating real-time decision-making processes. This shift to the cloud aligns with the broader trend of digital transformation and the need for agile and responsive data analytics solutions.

Another key driver of market dynamics is the integration of advanced technologies, such as machine learning and artificial intelligence, into streaming analytics. These technologies enhance the capabilities of streaming analytics platforms by enabling predictive analytics, anomaly detection, and automated decision-making. Businesses are increasingly recognizing the value of leveraging machine learning algorithms to extract meaningful insights from streaming data, thereby gaining a competitive edge in the rapidly evolving market landscape.

The demand for real-time analytics in various industry verticals, including finance, healthcare, retail, and manufacturing, is contributing to the growth of the Streaming Analytics market. Businesses are leveraging streaming analytics to monitor and analyze data in real-time, enabling them to respond promptly to changing conditions, identify emerging trends, and make informed decisions on the fly. The ability to gain insights in real-time is becoming a critical differentiator for organizations seeking to stay ahead in today's fast-paced and data-driven business environment.

The importance of data security and compliance is also influencing market dynamics in the Streaming Analytics space. As organizations handle sensitive real-time data, ensuring the security and compliance of streaming analytics solutions is a top priority. Vendors in the market are focusing on enhancing the security features of their platforms, addressing data privacy concerns, and ensuring compliance with industry regulations. This emphasis on security and compliance reflects the increasing awareness of the importance of safeguarding real-time data in the analytics process.

Competition within the Streaming Analytics market is intensifying as more vendors enter the space, offering specialized solutions and services. The market is characterized by a variety of players, ranging from established technology giants to niche providers focusing on specific industry verticals. Vendors are differentiating themselves by emphasizing factors such as ease of use, integration capabilities, and the ability to handle diverse data sources. This competitive landscape is driving continuous innovation and advancements in streaming analytics technology.

Covered Aspects:

Report Attribute/Metric Details

Market Overview: 

According to MRFR Analysis, By the end of 2030, the Streaming Analytics Market will have a market value of USD 54.8 billion. It is also expected to produce a 27.90% CAGR in market revenue from 2022 to 2030. 


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 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 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 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 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 market growth of the Streaming Analytics 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 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 Market Segments has been classified into two types of services: Professional services and Managed Services.

  • The Streaming Analytics Industry 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 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 intoCloud 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 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 Insights: 


According to the regional analysis report, the global Streaming Analytics 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 Industry 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: 


The brand-new Stream Analytics Experiment will be launched in March 2023, according to streaming juggernaut Twitch. Streamers can use the page to get detailed information on international trends and insights to better organise their streams. The information will be accessible to streamers of all genres and will cover a variety of subjects, including audience demographics, streaming language, geographic area, as well as well-liked games and streams.


The Spotfire 12.2 update from Tibco will also provide streaming and data science technologies in March 2023. Spotfire's most recent incarnation combines data science, streaming, and data management technologies to create an end-to-end data visualisation and analytics platform.


Report Overview: 


The Streaming Analytics Industry 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 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:



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

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