Meticulous Research®—a global leader in market research, has published an extensive report titled, ‘Streaming Analytics Market by Offering (Platforms, Services), Deployment Mode (Cloud, On-premise), Application (Fraud Detection, Customer Analytics, Others), Organization Size, Sector (IT & Telecom, Retail, BFSI, Others) & Geography - Forecasts to 2030’. This report offers a detailed examination of the streaming analytics market, including future growth trends and forecasts.
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The streaming analytics market is projected to grow to $73.27 billion by 2030, with a CAGR of 19.7% from 2023 to 2030. The market’s expansion is driven by the increasing adoption of streaming analytics platforms, which offer faster insights and support industrial automation. However, challenges such as integrating these solutions with legacy systems present significant obstacles.
Opportunities for growth include advancements in data integration and high event stream analytics capabilities. Nevertheless, data security and privacy concerns, along with complex infrastructure requirements, pose challenges. The shift towards cloud-based streaming analytics platforms is a key trend influencing the market.
The market is segmented by offering into platforms and services. Platforms are expected to lead in 2023 due to their ability to efficiently process and analyze live data. This segment is also projected to experience higher growth, reflecting the growing demand for real-time analytics.
In terms of deployment mode, the market is divided into on-premise and cloud-based solutions. On-premise deployments are expected to capture a larger market share in 2023, favored by large enterprises for their security and control. Cloud-based deployments are anticipated to grow at a faster rate due to their scalability and cost benefits.
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Applications of streaming analytics include fraud detection, customer analytics, and more. The customer analytics segment is expected to hold the largest share in 2023, driven by the need for improved customer satisfaction and loyalty. The fraud detection segment is projected to grow at the highest CAGR due to increasing cybersecurity threats.
By organization size, large enterprises are expected to dominate in 2023 due to their extensive IT infrastructure and financial stability. The growth of this segment is supported by large enterprises’ investment in advanced streaming analytics technologies.
Sector-wise, the IT and telecom industry is expected to lead the market in 2023, driven by the need for data analysis to enhance service delivery. The retail sector is projected to grow at the fastest rate, driven by the demand for real-time analytics for inventory management and customer engagement.
Geographically, Asia-Pacific is anticipated to dominate the streaming analytics market in 2023, driven by increasing digitization, consumer IoT adoption, and improved internet infrastructure. The region’s growth is further supported by infrastructure improvements and high-speed network expansions.
Key Players:
Some of the key players operating in the streaming analytics market are IBM Corporation (U.S.), Informatica Inc. (U.S.), Microsoft Corporation (U.S.), SAP SE (Germany), Striim, Inc. (U.S.), Oracle Corporation (U.S.), SAS Institute Inc. (U.S.), SQLstream (U.S.) a subsidiary of Thales Group (France), Software AG (Germany), TIBCO Software Inc. (U.S.), Cloudera, Inc. (U.S.), Teradata Corporation (U.S.), Amazon Web Services, Inc. (U.S.), Impetus Technologies, Inc. (U.S.), and Hewlett Packard Enterprise Company (U.S.).
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Key questions answered in the report-
· Which are the high-growth market segments based on offering, deployment mode, application, organization size and sector?
· What was the historical market for streaming analytics?
· What are the market forecasts and estimates for the period 2023–2030?
· What are the major drivers, restraints, and opportunities in the streaming analytics market?
· Who are the major players, and what shares do they hold in the streaming analytics market?
· How is the competitive landscape in the streaming analytics market?
· What are the recent developments in the streaming analytics market?
· What are the different strategies adopted by the major players in the streaming analytics market?
· What are the key geographic trends, and which are the high-growth countries?
· Who are the local emerging players in the global streaming analytics market, and how do they compete with the other players?
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