Streaming Analytics Market Size to Reach $99.8 Billion by 2032 |

Summary:

• The global streaming analytics market size reached $14.6 billion in 2023.
• The market is expected to reach $99.8 billion by 2032, growing at a CAGR of 23.3% during 2024-2032.
• By region, the market was reported in North America (US, Canada, Asia Pacific, China, Japan, India, South Korea, Australia, Indonesia, Others) and Europe (Germany, France, UK, Italy, Spain, Russia and others), Latin America (Brazil, Mexico and others) and the Middle East and Africa.
• Based on component, the market has been segmented into software and service.
• Based on deployment mode, the market has been segmented into cloud-based and on-premises.
• Based on organization size, the market has been segmented into large enterprises and small and medium enterprises.
• On the basis of application, the market has been segmented into fraud detection, predictive asset management, risk management, network management and optimization, sales and marketing, supply chain management, location intelligence and others.
• Based on industry vertical, the market has been categorized into IT & Telecom, BFSI, Manufacturing, Government, Retail & E-Commerce, Media & Entertainment, Healthcare, Energy & Utilities and others.
• The increasing adoption of real-time data processing across industries is a key driver of the streaming analytics market.
• Increasing integration of AI and machine learning with streaming analytics is driving the streaming analytics market.

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Industry trends and drivers:
• Increasing acceptance of real-time data processing across various industries:
The streaming analytics market is experiencing a surge in the adoption of real-time data processing across a variety of industries. Companies are increasingly relying on streaming analytics to make instant decisions by analyzing data as it is generated rather than waiting for batch processing. Industries such as finance, healthcare, retail and telecommunications use this capability to monitor and respond to events as they occur. In the financial sector, for example, streaming analytics helps detect fraudulent transactions in real-time and ensure immediate corrective action. In retail, companies use real-time data to track customer behavior and optimize inventory management. As companies increasingly focus on data-driven strategies, real-time processing has become essential for increasing operational efficiency, reducing downtime and improving customer experience. This trend is expected to continue to grow as companies look to gain a competitive advantage through real-time insights.

• Increased integration of AI and machine learning with streaming analytics:
A key trend in the streaming analytics market is the increasing integration of artificial intelligence (AI) and machine learning (ML) to improve the accuracy and capabilities of real-time analytics. AI and ML algorithms can quickly process large amounts of streaming data, enabling more granular and predictive insights. By integrating machine learning models, companies can go beyond simple data analysis and generate actionable insights with predictive capabilities. For example, streaming analytics combined with AI can predict customer demand, predict equipment failures in manufacturing, or detect anomalies in network traffic. This integration is particularly important in industries like cybersecurity, where real-time data is essential for detecting and preventing threats. As AI and ML technologies continue to advance, their application in streaming analytics will further automate decision-making processes and provide smarter, data-driven strategies for businesses, leading to broader adoption across all sectors.

• Expansion of edge analytics in streaming data solutions:
Edge analytics is becoming a major trend in the streaming analytics market as companies look to process data closer to its source. Instead of sending data to central cloud systems for analysis, edge analytics enables real-time processing at the edge of the network, reducing latency and bandwidth consumption. This is particularly useful for IoT devices, sensors, and other connected technologies that generate large amounts of data in real time. By analyzing data at the edge, companies can respond to events more quickly and make faster decisions, without the delays caused by moving data to the cloud or data centers. Industries such as manufacturing, energy and transportation benefit significantly from edge analytics, where real-time processing is critical for monitoring operations, detecting anomalies and optimizing workflows. The rise of 5G networks and advanced edge computing infrastructure is expected to further accelerate this trend and enable broader use of streaming analytics at the network edge. As companies continue to adopt IoT and edge computing solutions, the demand for edge analytics when streaming data will increase significantly.

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The report has divided the market into the following categories:
Breakdown by components:
• Software
• Service
Based on component, the market has been segmented into software and service.

Breakdown by deployment mode:
• Cloud based
• On site
On the basis of deployment mode, the market has been segmented into cloud-based and on-premises.

Breakdown by organization size:
• Large companies
• Small and medium-sized companies
Based on company size, the market has been segmented into large enterprises and small and medium enterprises.

Breakdown by application:
• Fraud detection
• Forward-looking asset management
• Risk management
• Network management and optimization
• Sales and marketing
• Supply chain management
• Location information
• Others
On the basis of application, the market has been segmented into fraud detection, predictive asset management, risk management, network management and optimization, sales and marketing, supply chain management, location intelligence, and others.

Breakdown by industry:
• IT and telecommunications
• BFSI
• Manufacturing
• Government
• Retail and e-commerce
• Media and entertainment
• Healthcare
• Energy and utilities
• Others
Based on industry vertical, the market has been categorized into IT & Telecom, BFSI, Manufacturing, Government, Retail & E-Commerce, Media & Entertainment, Healthcare, Energy & Utilities and others.

Market breakdown by region:
• North America (USA, Canada)
• Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, others)
• Europe (Germany, France, United Kingdom, Italy, Spain, Russia, Others)
• Latin America (Brazil, Mexico, others)
• Middle East and Africa
By region, the market has been segmented into North America (United States, Canada, Asia Pacific, China, Japan, India, South Korea, Australia, Indonesia, others) and Europe (Germany, France, United Kingdom, Italy, Spain, Russia, others) , Latin America (Brazil, Mexico, others) and Middle East and Africa.

Top Leaders for Streaming Analytics:
• Cloudera Inc.
• Conviva Inc.
• Gath
• Google LLC
• International Business Machines Corporation
• Microsoft Corporation
•Oracle Corporation
• SAP SE
• SAS Institute Inc.
• Software AG
• SQLstream (Guavus Inc.)
• Striim Inc.
• TIBCO Software Inc.

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