The global streaming analytics market size was valued at USD 6.32 billion in 2018 and is expected to grow at a compound annual growth rate (CAGR) of 28.9% from 2019 to 2025. The increasing investments made by companies in streaming analytics solutions to improve their business performance and operations through a better understanding of risks and opportunities gained from the analysis of data in motion. Streaming analytics, also known as event stream processing, refers to the analysis of a large amount of real-time and “in-motion” data using continuous queries known as event streams. Over the last few years, streaming analytics has been replacing conventional analytics methodologies across several applications owing to its capability of processing real-time streaming data.
Rapid advancements in the Internet of Things (IoT) sensors and devices used in industrial and consumer applications have facilitated the emergence of streaming analytics solutions with improved processing performance. This can be attributed to the capability of advanced IoT sensors and devices of gathering large volumes of rice operational and performance data. The increased demand from companies for such data to improve their decision-making process, service delivery process, network optimization, and customer interaction and retention, among others, is likely to drive the adoption of advanced streaming analytics solutions soon. Companies are also adopting streaming analytics solutions to create new business channels and enhance customer experiences. As a result, streaming analytics has been witnessing increasing interest from fields such as marketing, finance, and operations.
Encouraged by the rapidly growing adoption of streaming analytics, a large number of startups are also focusing on developing feature-rich real-time streaming analytics solutions. Furthermore, advances in Artificial Intelligence (AI), Machine Learning (ML), and big data analytics are enabling users to analyze large volumes of real-time data obtained from multiple sources such as industrial IoT networks, consumer IoT devices, and electronic devices. Users are focusing on using AI to merge historical data with their knowledge about real-time business processes to build accurate predictive models. Furthermore, the integration of advanced cognitive computing technologies such as AI with streaming analytics software is enabling companies to deduce patterns and detect a wide range of anomalies from real-time data.
The major challenges impacting the market include legacy architecture, lack of experienced workforce, and the high cost of deployment and integration of advanced analytics solutions. Data security concerns and stringent data security regulations such as the General Data Protection Regulation (GDPR) in Europe are also negatively impacting the growth of the market to a certain extent. Furthermore, the lack of awareness regarding streaming analytics solutions and their benefits may also negatively impact market growth. Nevertheless, with a growing propensity toward digital transformation, the impact of the aforementioned factors is anticipated to diminish in the coming years.
Streaming analytics solution providers are developing advanced functionalities such as data pseudonymization to ensure a product’s compliance with data privacy and security regulations. Data pseudonymization prevents unauthorized users or hackers from using customer data for personal gains. For instance, the Striim platform by Striim, Inc. supports data pseudonymization by capturing, masking, filtering, obfuscating, enriching, and encrypting data-in-motion. Other leading companies are also working toward enriching their streaming analytics offerings using data pseudonymization capabilities.
Based on components, the market has been segmented into software and services. The software segment dominated the market in 2018 and is also anticipated to emerge as the fastest-growing segment over the forecast period. The increasing adoption of streaming analytics software by large Multinational Companies (MNCs) as well as Small and Medium Enterprises (SMEs) in developed economies of North America, Europe, and the Asia Pacific regions is anticipated to drive the growth of the segment over the forecast period.
Companies are increasingly relying on streaming analytics software for analyzing unstructured video, text, audio, geospatial, and IoT sensor data and identify business risks and opportunities. Furthermore, the capability of streaming analytics software to analyze real-time data and monitor the Key Performance Indicators (KPIs) of a company is also expected to drive the adoption of multiple end-use segments. The services sub-segment is also anticipated to witness significant growth over the forecast period owing to the growing demand for customized streaming analytics solutions and the rising deployment of cloud-based streaming analytics solutions by startups worldwide.
Based on deployment, the market has been segmented into on-premise and cloud. The cloud segment dominated the market in 2018 and is also anticipated to emerge as the fastest-growing segment over the forecast period. Streaming analytics solutions offered through the Software-as-a-Service (SaaS) model allow companies the chance to move to a subscription-based service model. Cloud-based streaming analytics solutions also provide users with low-latency data transformation capability.
The cloud deployment model also offers increased convenience to companies by providing rapid integration, reduced maintenance, increased operational flexibility, and low operational manpower requirements. Cloud-based streaming analytics solutions offer convenient access to users through multiple devices such as laptops, smartphones, and desktop computers. These factors, combined with the reduced capital investment in physical infrastructure and workforce achieved through the switch to the cloud-based deployment of streaming analytics solutions, are key to the promising growth prospects of the segment.
Based on application, the market has been segmented into fraud detection, marketing & sales, risk management, predictive asset management, network management & optimization, location intelligence, supply chain management, and others. The marketing & sales segment dominated the market in 2018. This can be attributed to the increasing usage of streaming analytics to deliver superior customer engagement through techniques such as customer profiling, campaign management, monitoring, and demographic analysis for improvising on existing customer engagement policies. Streaming analytics solutions are also being increasingly used by companies to better identify the target audience, their preferences, and learn about customer behavior and additional
However, the risk management segment is anticipated to emerge as the fastest-growing segment over the forecast period due to the increasing usage of streaming analytics for minimizing, monitoring, predicting, and controlling the probability or impact of unlikely events. For instance, streaming analytics solutions in factories analyze real-time data captured by smart IoT devices and sensors to help production managers remotely monitor processes and equipment performance. The analysis of real-time performance data also enables the maintenance department to predict, diagnose, and address problems to improve asset uptime.
Based on end-use, the market has been segmented into BFSI, IT & telecom, retail, healthcare, government, media & entertainment, education, and others. The IT & telecom segment dominated the market in 2018 owing to the customer-centric approach of these sectors and their growing focus on offering customized, feature-rich products at competitive pricing or through subscription models. IT and telecom companies are using streaming analytics to analyze large amounts of operational data to serve the consumer better. This includes customers’ location, application usage statistics, and other performance data to improve service delivery and personalization.
The media & entertainment segment is anticipated to emerge as the fastest-growing segment over the forecast period due to the increasing consumer preference for accessing multimedia content through OTT applications on smartphones and tablets. The increasing penetration of high-speed wireless internet globally has enabled companies to deliver high-quality content to users. Media & entertainment companies are also leveraging powerful streaming analytics solutions to design enhanced marketing campaigns for customer acquisition and retention. Furthermore, the real-time information obtained from social media is enabling companies to gain a competitive advantage by delivering a personalized consumer experience via omnichannel sales approaches.
The North American regional market dominated the global streaming analytics market in 2018. North America is home to several leading streaming analytics solution providers such as Microsoft Corporation, Oracle Corporation, and IBM Corporation. These companies are focusing on the development and commercial deployment of streaming analytics solutions for consumer and industrial applications. The rising per capita income, tech-savvy population, and the continued adoption of emerging technologies for personal and business applications are also some other major factors driving the growth of the regional market.
The Asia Pacific is projected to emerge as the fastest-growing regional market for streaming analytics over the forecast period. The rising sales of smartphones and tablets, growing adoption of consumer IoT devices, and the increasing disposable incomes in economies such as China, India, and Japan have emerged as the key growth drivers for the regional market. Furthermore, the continuous rollout of high-speed wireless internet networks and the focus of developing economies on improving legacy infrastructure have resulted in improved internet penetration in the Asia Pacific region. The enhanced internet connectivity has enabled companies to easily deploy advanced IoT sensors and devices for process monitoring and control.
The market players are working on developing new data integration and high event-streaming analytics capabilities to improve the scope of commercial applications. Besides, some companies are acquiring or partnering with emerging technology start-ups to develop innovative solutions.
For instance, in 2018, Oracle Corporation acquired DataFox, a San Francisco-based AI engine developer and provider of sales intelligence for business-to-business companies. The acquisition enabled the former to integrate the DataFox’s AI data engine into its cloud applications for analyzing insightful and dynamic company-level data to derive insights for smarter decision making. Similarly, in 2019, Microsoft Corporation partnered with Fastly, Inc. to develop a new customer-facing solution based on Azure Data Explorer (ADX) for real-time analysis on high-volume click-stream data. Some of the prominent players in the streaming analytics market include:
SAS Institute Inc.
TIBCO Software Inc.
The market size value in 2020
USD 9.91 billion
The revenue forecast in 2025
USD 35.97 billion
CAGR of 28.8% from 2019 to 2025
The base year for estimation
2015 - 2017
2019 - 2025
Revenue in USD million and CAGR from 2019 to 2025
Revenue forecast, company ranking, competitive landscape, growth factors, and trends
Component, deployment, application, end-use, region
North America; Europe; Asia Pacific; Latin America; MEA
U.S.; Canada; U.K.; Germany; India; Japan; China; Brazil
Key companies profiled
IBM Corporation; Informatica; Microsoft; SAP SE; Striim, Inc.; Oracle Corporation; SAS Institute Inc.; SQLstream, Inc.; Software AG; TIBCO Software Inc.
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This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2015 to 2025. For this study, Grand View Research has segmented the global streaming analytics market report based on component, deployment, application, end-use, and region:
Component Outlook (Revenue, USD Million, 2015 - 2025)
Deployment Outlook (Revenue, USD Million, 2015 - 2025)
Application Outlook (Revenue, USD Million, 2015 - 2025)
Marketing & Sales
Predictive Asset Management
Network Management & Optimization
Supply Chain Management
End-Use Outlook (Revenue, USD Million, 2015 - 2025)
IT & Telecom
Media & Entertainment
Regional Outlook (Revenue, USD Million, 2015 - 2025)
Middle East & Africa
b. The global streaming analytics market size was estimated at USD 7.83 billion in 2019 and is expected to reach USD 9.91 billion in 2020.
b. The global streaming analytics market is expected to witness a compound annual growth rate of 28.8% from 2019 to 2025 to reach USD 35.97 billion by 2025.
b. Marketing & sales segment dominated the market with the share of 28.3% in 2019 owing to increasing usage of streaming analytics to deliver superior customer engagement through techniques such as customer profiling, campaign management, monitoring, and demographic analysis.
b. Some key players operating in the streaming analytics market include IBM Corporation, Informatica, Microsoft, SAP SE, Striim, Inc., Oracle Corporation, SAS Institute Inc., SQLstream, Inc., Software AG, and TIBCO Software Inc.
b. Factors that are expected to drive the streaming analytics market include rapid advancements in Internet of Things (IoT) sensors, devices used in industrial and consumer applications, technological advancements in AI and ML, and big data analytics, among others.
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