Report Scope & Overview:
Streaming Analytics market size was valued at USD 20.94 Bn in 2022 and is expected to reach USD 122.49 Bn by 2030, and grow at a CAGR of 24.7% over the forecast period 2023-2030.
Streaming analytics adds real-time intelligence to the decision-making toolset, complementing conventional analytics. It is also known as event stream processing because it automatically processes and analyses massive amounts of real-time information and data in motion called event streams. Events that occur as a result of an activity or group of activities, such as a financial transaction, equipment failure, or other acts, are included in the streams. Preventative maintenance, smart transportation, retail, smart energy, industrial automation, and healthcare all benefit from streaming analytics.
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Companies are expanding their investments in streaming analytics solutions to improve their company performance and operations through a better knowledge of risks and possibilities acquired from data in motion analysis. Streaming analytics, also known as event stream processing, is the use of event streams to analyze massive volumes of real-time and "in-motion" data. Because of its capacity to analyze real-time streaming data, streaming analytics has largely replaced traditional analytics approaches in a variety of applications in recent years.
We saw over and again the need to better the complicated, regionally scattered logistics systems that supply the services on which we all rely. This has been a primary driver of technological advancements in streaming analytics, making them more effective, efficient, and safe. Here are some important areas where we expect streaming analytics technology to develop in the next years to assist meet these demands.
1. Intelligent, interconnected devices
2. The notion of the "digital twin" is that streaming analytics apps handle the flood of incoming telemetry from associated devices.
3. Pervasive machine learning
Increased digitization and new technologies like big data, IoT, and AI are expected to boost market expansion.
Strategic move toward real-time, precise forecasting.
Increased data connection via hybrid and multi-cloud settings.
Legacy systems are not integrated with streaming analytics solutions.
To acquire traction, real-time suggestions, pattern identification, and anomaly detection will be used.
In the market, there are ongoing collaborations and product releases.
Handling enormous amounts of data in a decentralized setting
Concerns about data security and severe data security legislation
IMPACT OF COVID-19:
COVID-19 Global market circumstances have altered dramatically, and every single country is confronting an economic crisis as a result of a business slowdown. The COVID-19 epidemic is affecting organizations all around the world, and analytics firms are attempting to combat it by keeping their assets online and ensuring data security across networks. Though streaming analytics vendors are also facing challenges related to data infrastructure inflexibility, the negative impact on the market is expected to be mitigated by several factors such as the growing need for tracking real-time information of coronavirus spread, a major shift toward digital transformation, an increase in investments in data analytics, and growing adoption of cloud-based streaming analytics software, which is driving the market growth.
The market is separated into two sections: software and services. In 2021, the software sector led the market and is expected to be the fastest-growing category throughout the forecast period. The growing use of streaming analytics software by MNCs and SMEs in developed economies. Streaming analytics software is rapidly being used by businesses to analyze unstructured video, text, audio, geospatial, and IoT sensor data to uncover business risks and possibilities. Additionally, the ability to stream analytics software to analyze real-time data and monitor a company's Key Performance Indicators (KPIs) is likely to boost adoption across numerous end-use categories.
The market has been divided into two segments based on deployment: on-premise and cloud. Cloud computing led the market in 2021 and is expected to be the fastest-growing sector throughout the forecast period. Streaming analytics solutions delivered via the Software-as-a-Service (SaaS) paradigm enable businesses to transition to a subscription-based service model. Companies benefit from the cloud deployment model as well, since it provides quick integration, reduced maintenance, enhanced operational flexibility, and minimal operational staff needs. Cloud-based streaming analytics solutions provide customers with easy access across many devices such as laptops, cellphones, and desktop PCs.
The market has been divided into applications such as fraud detection, marketing and sales, risk management, predictive asset management, network management and optimization, location intelligence, supply chain management, and others. In 2021, the marketing and sales segment dominated the market. However, due to the rising use of streaming analytics for minimizing, monitoring, forecasting, and managing the possibility or effect of unusual occurrences, the risk management category is expected to be the fastest-growing segment throughout the projected period.
The market has been divided into BFSI, IT & telecom, retail, healthcare, government, media & entertainment, education, and others based on end-use. Because of their customer-centric approach and rising focus on supplying customized, feature-rich goods at competitive prices or through subscription arrangements, the IT & telecom category will dominate the market in 2021. Because of the rising consumer desire for accessing multimedia material via Over-the-top (OTT) applications on smartphones and tablets, the media and entertainment category is expected to be the fastest-growing segment over the projected period. The rising global adoption of high-speed wireless internet has enabled businesses to provide high-quality content to users.
KEY MARKET SEGMENTS:
On The Basis of Component
On The Basis of Deployment Model
On The Basis of Organization Size
Small & Medium-sized Enterprises
On The Basis of Application
Predictive Asset Management
Network Management and Optimization
Sales and Marketing
Supply Chain Management
On The Basis of Industry Vertical
IT and Telecom
Retail and E-Commerce
Media and Entertainment
Energy and Utilities
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Because of the use of sophisticated analytics tools by small and large organizations, as well as the presence of significant players in the area, the North American region is expected to create the biggest Streaming Analytics Market Size over the projected period. Countries such as the United States and Canada contributed significantly to market revenue in this area throughout the examined time. In addition, throughout the analyzed period, the Asia-Pacific area is expected to create the greatest CAGR. Because of the use of BI analytics, significant investment in streaming analytical tools for enhancing corporate efficiency and productivity, and multiple prospects in various industrial verticals, this region is driving the growth of the Streaming Analytics Market.
Rest of Europe
Rest of Asia-Pacific
The Middle East & Africa
Rest of Middle East & Africa
Rest of Latin America
The major key players are Amazon Web Services, Inc., International Business Machines Corporation, Impetus Technologies, Inc., Microsoft Corporation, Oracle Corporation, SAP SE, SAS Institute Inc., Software AG, SQLstream, Inc., TIBCO Software Inc.
|Market Size in 2022||US$ 20.94 Bn|
|Market Size by 2030||US$ 122.49 Bn|
|CAGR||CAGR of 24.7% From 2023 to 2030|
|Report Scope & Coverage||Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook|
|Key Segments||• by Component (Software and Service), by Deployment Model (On-premise and Cloud)
• by Organization Size (Large Enterprises and Small & Medium-sized Enterprises)
• by Application (Fraud Detection, Predictive Asset Management, Risk Management, Network Management, and Optimization, Sales and Marketing, Supply Chain Management, Location Intelligence, Others)
• by Industry Vertical (BFSI, IT and Telecom, Manufacturing, Government, Retail and E-Commerce, Media and Entertainment, Healthcare, Energy and Utilities, and Others)
|Regional Analysis/Coverage||North America (USA, Canada, Mexico), Europe
(Germany, UK, France, Italy, Spain, Netherlands,
Rest of Europe), Asia-Pacific (Japan, South Korea,
China, India, Australia, Rest of Asia-Pacific), The
Middle East & Africa (Israel, UAE, South Africa,
Rest of Middle East & Africa), Latin America (Brazil, Argentina, Rest of Latin America)
|Company Profiles||Amazon Web Services, Inc., International Business Machines Corporation, Impetus Technologies, Inc., Microsoft Corporation, Oracle Corporation, SAP SE, SAS Institute Inc., Software AG, SQLstream, Inc., TIBCO Software Inc.|
|Key Drivers||• Strategic move toward real-time, precise forecasting.
• Increased data connection via hybrid and multi-cloud settings.
|Market Opportunities||• To acquire traction, real-time suggestions, pattern identification, and anomaly detection will be used.
• In the market, there are ongoing collaborations and product releases.
Ans: - The Streaming Analytics market size was valued at USD16.8 Bn in 2021.
Ans: - Increased digitization and new technologies like big data, IoT, and AI are expected to boost market expansion.
Ans: - 1. Intelligent, interconnected devices 2. The notion of the "digital twin" is that streaming analytics apps handle the flood of incoming telemetry from associated devices. 3. Pervasive machine learning.
Ans: - The major key players are Amazon Web Services, Inc., International Business Machines Corporation, Impetus Technologies, Inc., Microsoft Corporation, Oracle Corporation, SAP SE, SAS Institute Inc., Software AG, SQLstream, Inc., TIBCO Software Inc.
Ans: - The study includes a comprehensive analysis of Digital Printing Market trends, as well as present and future market forecasts. DROC analysis, as well as impact analysis for the projected period. Porter's five forces analysis aids in the study of buyer and supplier potential as well as the competitive landscape etc.
Table of Contents
1.1 Market Definition
1.3 Research Assumptions
2. Research Methodology
3. Market Dynamics
4. Impact Analysis
4.1 COVID-19 Impact Analysis
4.2 Impact of Ukraine- Russia war
4.3 Impact of ongoing Recession
4.3.2 Impact on major economies
18.104.22.168 United Kingdom
22.214.171.124 South Korea
126.96.36.199 Rest of the World
5. Value Chain Analysis
6. Porter’s 5 forces model
7. PEST Analysis
8. Streaming Analytics Market Segmentation, by Component
9. Streaming Analytics Market Segmentation, by Deployment Model
10. Streaming Analytics Market Segmentation, by Organization Size
10.1 Large Enterprises
10.2 Small & Medium-sized Enterprises
11. Streaming Analytics Market Segmentation, by Application
11.1 Fraud Detection
11.2 Predictive Asset Management
11.3 Risk Management
11.4 Network Management and Optimization
11.5 Sales and Marketing
11.6 Supply Chain Management
11.7 Location Intelligence
12. Streaming Analytics Market Segmentation, by Industry Vertical
12.2 IT and Telecom
12.5 Retail and E-Commerce
12.6 Media and Entertainment
12.8 Energy and Utilities
13. Regional Analysis
13.2 North America
13.3.6 The Netherlands
13.3.7 Rest of Europe
13.4.2 South Korea
13.4.6 Rest of Asia-Pacific
13.5 The Middle East & Africa
13.5.3 South Africa
13.6 Latin America
13.6.3 Rest of Latin America
14. Company Profiles
14.1 Amazon Web Services, Inc.
14.1.2 Products/ Services Offered
14.1.3 SWOT Analysis
14.1.4 The SNS view
14.2 International Business Machines Corporation
14.3 Impetus Technologies, Inc.
14.4 Microsoft Corporation
14.5 Oracle Corporation
14.6 SAP SE
14.7 SAS Institute Inc.
14.8 Software AG
14.9 SQLstream, Inc.
14.10 TIBCO Software Inc.
15. Competitive Landscape
15.1 Competitive Benchmarking
15.2 Market Share analysis
15.3 Recent Developments
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