The global streaming analytics market was estimated at USD 29.55 billion in 2024 and USD 109.30 billion by 2029, growing at a CAGR of 29.9% during the forecast period.
Streaming analysis is an affordable, fully managed processing engine that efficiently processes events in real time. The engine makes it easy to unlock detailed information from the information. In addition to configuring analytical calculations (in real time), it also offers transmission from sites, applications, and more. Streaming analytics is capable of handling large events. Ease of use, low cost, fast recovery, necessary data, and connectivity are some of the benefits of streaming analytics.
Different organizations around the world produce a large amount of data that is not organized. In recent years, organizations have realized the benefits of using real-time data analysis and have, therefore, started to use continuous analysis techniques in their operations. By using pass-through analysis, organizations have begun to generate more revenue by reducing avoidable losses and increasing operational efficiency. Applications in which transmission analysis is used include algorithmic trading, intelligence and monitoring, vehicle tracking and route monitoring, customer engagement, real-time patient monitoring system, supply chain and supply chain optimization, network, and IT control, real-time call center analysis, management of oil and gas operations, etc.
This is credited to the ability of advanced IoT sensors and devices to collect large volumes of rice performance and operational data. Increased business demand for this data to improve their decision-making process, service delivery process, network optimization, and customer interaction and retention, among others, is likely to lead to the adoption of advanced solutions for transmission analysis in the near future. Companies are also adopting transmission analysis solutions to create new business channels and improve the customer experience. As a result, streaming analytics has seen growing interest in areas such as marketing, finance, and operations.
The main challenges affecting the market include the existing architecture, the lack of experienced human resources, and the high cost of implementing and integrating advanced analytical solutions. Data security concerns and strict data security regulations like the General Data Protection Regulation (GDPR) in Europe also have a negative impact on market growth to some extent. Furthermore, a lack of knowledge of streaming analytics solutions and their benefits can also have a negative effect on market growth. However, with an increased propensity for digital transformation, the effect of the above factors should decrease in the coming years.
The key factor that accelerates streaming analytics market growth is the need to find advanced solutions to make real-time decisions on business events that mobilize large companies and SMEs to implement transmission analytics. There is a surge in the adoption of IoT in different verticals, which in turn increases the demand for data transmission solutions. Therefore, the streaming analytics market is growing worldwide. At the same time, some factors are hampering the growth of the streaming analytics market, including the lack of data security and confidentiality and low returns on investment are hampering the market growth.
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REPORT METRIC |
DETAILS |
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Market Size Available |
2023 to 2029 |
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Base Year |
2023 |
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Forecast Period |
2024 to 2029 |
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CAGR |
29.9% |
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Segments Covered |
By Component Summary, Implementation Information, Application Summary, End-use Information, and Region |
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Various Analyses Covered |
Global, Regional & Country Level Analysis, Segment-Level Analysis, DROC, PESTLE Analysis, Porter’s Five Forces Analysis, Competitive Landscape, Analyst Overview on Investment Opportunities |
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Regions Covered |
North America, Europe, APAC, Latin America, Middle East & Africa |
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Market Leaders Profiled |
IBM, Informatica, Microsoft, SAP SE, Striim, Inc., Oracle, SAS Institute Inc., SQLstream, Inc., Software AG, TIBCO Software Inc., and Others. |
Depending on the components, the market was segmented into software and services. The software segment dominated the global streaming analytics market in 2018 and is also expected to become the fastest-growing during the forecast period. The increasing adoption of transmission analysis software by large multinational corporations (CMNs), as well as small and medium-sized enterprises (SMEs) in the developed economies of North America, Europe, and Asia-Pacific, is supposed to spur the growth of the segment in comparison with the forecasts for the period.
Depending on the implementation, the market was segmented into on-premise and cloud. The cloud segment dominated the global streaming analytics market in 2018 and is also assumed to become the fastest-growing segment during the forecast period. Streaming analytics solutions offered through the SaaS (Software as a Service) model enable companies to switch to a subscription-based service model. Cloud-based streaming analytics solutions also provide users with low-latency data transformation.
Depending on the application, the market has been segmented into fraud detection, marketing and sales, risk management, predictive asset management, network optimization and management, location intelligence, supply chain management, etc. The marketing and sales segment dominated the business in 2018. This can be attributed to the increasing use of transmission analytics to deliver superior customer engagement through techniques such as customer profiling, campaign management, demographic monitoring, and analysis to improve existing customer participation policies. Continuous analytics solutions are also increasingly used by companies to better identify target audiences and their preferences and learn more about customer behavior and other information.
Based on end-use, the global streaming analytics market was divided into BFSI, IT and telecom, retail, healthcare, government, media and entertainment, education, and others. The information and telecommunications technology segment dominated the market in 2018 due to the customer-centric approach to these sectors and its growing focus on offering personalized and feature-rich products at competitive prices or through subscription models. IT and telecom companies use continuous analytics to analyze large amounts of operational data to serve the consumer better. This includes customer location, application usage statistics, and other performance data to improve service delivery and customization.
The North American streaming analytics market dominated the global business. North America is home to several large transmission analysis solution providers, such as Microsoft Corporation, Oracle Corporation, and IBM Corporation. The Asia Pacific is expected to become the fastest-growing regional market for streaming analytics during the outlook period. The increase in smartphone and tablet sales, the increasing adoption of IoT devices by consumers, and the increase in disposable income in economies such as China, India, and Japan have become the main drivers of growth in the regional market.
The main industry players operating in the global streaming analytics market are IBM, Informatica, Microsoft, SAP SE, Striim, Inc., Oracle, SAS Institute Inc., SQLstream, Inc., Software AG, and TIBCO Software Inc. These market players are developing New capabilities for data integration and high-event flow analytics to improve the reach of business applications. In addition, some companies acquire or partner with emerging technology start-ups.
In 2019, Microsoft Corporation partnered with Fastly, Inc. to develop a new client-oriented solution based on Azure Data Explorer (ADX) for real-time analysis of high-volume click-stream data.
By Component
By Deployment
By Application
By End-Use
By Region
Frequently Asked Questions
Industries such as banking and financial services, telecommunications, healthcare, retail, manufacturing, and transportation are among the early adopters of streaming analytics solutions. These sectors benefit from real-time insights for fraud detection, predictive maintenance, customer experience enhancement, and supply chain optimization.
Integrating AI and machine learning capabilities into streaming analytics platforms enhances predictive analytics, anomaly detection, pattern recognition, and automated decision-making processes. This integration enables organizations to derive deeper insights and drive actionable outcomes from real-time data streams.
Data governance frameworks are essential for establishing policies, procedures, and controls to manage data quality, integrity, security, and compliance throughout the streaming analytics lifecycle. Effective data governance helps organizations maximize the value of their real-time data assets while mitigating risks.
Trends such as edge computing, hybrid cloud deployments, the convergence of streaming analytics with AI and IoT technologies, the emergence of industry-specific use cases, and advancements in real-time processing capabilities are expected to drive innovation and growth in the streaming analytics market globally.
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