The global streaming analytics market is expected to grow at a 20.8% CAGR from US$13.1 billion in 2022 to US$ 86.5 billion by 2032. Streaming analytics accounts for more than 40% of the global data analytics sector.
Massive volumes of data are being generated as a result of the broad adoption of industrial 4.0 techniques, which is also likely to increase the potential for real-time analytics adoption over the forecast period.
Businesses are using streaming analytics technologies to create new business channels and increase client engagement. As a result, stream analytics is gaining traction in industries such as BFSI, supply chain management, and advertising and marketing. This will almost certainly benefit the streaming analytics sector.
Businesses are beginning to place a greater emphasis on acquiring data about live events. Responding quickly to events promotes operational responsiveness and organizational effectiveness. Businesses that use streaming analytics software can provide valuable context to events as they occur.
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Streaming analytics will enhance operational efficiency, lower infrastructure costs, and accelerate the delivery of information and results. Data streaming can be accessed by organizations of all sizes via apps, social media, sensors, devices, websites, and other means. In contrast to storing and evaluating data later, real-time analysis can provide critical, helpful insights in a variety of operational and functional domains.
“Increased preference for service automation across industries such as healthcare and BFSI, as well as increased adoption of cloud-based streaming analytics, will augment market growth over the forecast period,” says an FMI analyst.
Key Takeaways
- By solution, the streaming analytics platform has a leading share in the global demand for the streaming analytics market during the forecast period. In addition, this segment will register at a CAGR of 22.5% through the forecast period.
- Cloud-based streaming analytics platform will hold the largest market share of 53.4% in 2022 followed by hybrid streaming analytics platform.
- Among the services, managed service is estimated to grow by 2.9X during the forecast period. In addition to this, this segment will hold the largest market share by 2032.
- By application, the advertising & marketing segment will hold the highest market share in 2022, but supply chain management is estimated to grow at the highest CAGR from 2022 to 2032.
- By industry, the IT & telecom industry segment is expected to grow at the highest CAGR of 25.8% from 2022 to 2032, followed by the retail & e-commerce industry.
- North America is anticipated to lead the streaming analytics market followed by Europe in 2022. Whereas South Asia & Pacific is estimated to be the fastest-growing region during the forecast period.
The streaming analytics market in East Asia is estimated to witness an absolute $ opportunity of US $ 12,612.7 Million in the forecast period.
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Streaming Analytics Market Outlook by Category
By Solution:
- Streaming Analytics Platform
- Cloud-based
- On-Premises
- Hybrid
- Services
- Managed Services
- Professional Services
- Consulting Services
- Integration & Implementation
- Support & Maintenance
By Application:
- Advertising & Marketing
- Financial Analytics
- Supply Chain Management
- Demographic Location Intelligence
- Fraud Intelligence
- Customer Experience Monitoring
- Others
By Enterprise Size:
- Large Enterprises
- Small & Medium Enterprises (SMEs)
By Industry:
- IT & Telecom
- Media and Entertainment
- Retail & E-commerce
- Manufacturing
- Banking, Financial Services, and Insurance (BFSI)
- Healthcare
- Government
- Education
- Other
Table of Content
1. Executive Summary | Streaming Analytics Market
1.1. Global Market Outlook
1.2. Demand Side Trends
1.3. Supply Side Trends
1.4. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Key Market Trends
3.1. Key Trends Impacting the Market
3.2. Solution Innovation / Development Trends
4. Pricing Analysis
4.1. Types of Pricing Models
4.2. Global Average Pricing Analysis Benchmark
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