Streaming analytics or real-time analytics is a type of data analysis that presents real-time data and allows for performing simple calculations with it. Working with real-time data involves slightly different mechanisms as compared to working with historical data. Namely, it uses a specific type of processing large amounts of constantly updating data, called stream processing.
This type of analytics works mainly with data flows, without complex analytical tasks. The main purpose of it is to present the user with up-to-date information and keep the state of data updated.
The global market for Streaming Real-Time Analytics was estimated to be worth US$ 15360 million in 2023 and is forecast to a readjusted size of US$ 49160 million by 2030 with a CAGR of 18.4% during the forecast period 2024-2030
The streaming analytics market has been witnessing substantial growth as organizations across various industries recognize the value of real-time data analysis. Streaming analytics allows businesses to process and analyze data in motion, enabling timely decision-making, proactive actions, and immediate insights. The market has seen increased adoption in sectors such as finance, retail, healthcare, telecommunications, and manufacturing.
Streaming analytics has become closely intertwined with big data and the Internet of Things (IoT). The proliferation of connected devices and sensors generates a vast amount of real-time data that needs to be analyzed in motion. Streaming analytics platforms can handle and process this streaming data in real-time, allowing organizations to gain actionable insights and respond to events as they happen. The integration of streaming analytics with big data technologies and IoT platforms has been a notable trend in the market.
With the rise of edge computing, there is a growing need for performing real-time analytics at the edge of the network. Edge analytics allows organizations to analyze and process streaming data locally, closer to the data source, reducing latency and bandwidth requirements. This trend enables faster decision-making, enhances data privacy, and supports use cases where real-time insights are critical, such as in autonomous vehicles, industrial IoT, and remote monitoring.
Streaming analytics platforms are increasingly incorporating artificial intelligence (AI) and machine learning (ML) capabilities to improve data analysis and generate more accurate predictions and insights in real-time. AI and ML algorithms can be applied to streaming data to detect anomalies, identify patterns, and make predictions on the fly. This integration of AI and ML with streaming analytics enables advanced analytics applications, such as predictive maintenance, fraud detection, and real-time personalization.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Streaming Real-Time Analytics, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Streaming Real-Time Analytics by region & country, by Type, and by Application.
The Streaming Real-Time Analytics market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Streaming Real-Time Analytics.
Market Segmentation
By Company
Google
Microsoft
Software AG
AWS
Oracle
IBM
TIBCO
Confluent
Altair
SAP
SAS
Cribl
Cloudera
Hazelcast
RapidMiner
Memgraph
Guavus SQLstream
Informatica
Gathr
Alibaba
Baidu
Huawei
Tencent
Segment by Type:
Fully-managed Services
Self-managed Services
Segment by Application
Financial Services
Healthcare and Life Sciences
Manufacturing/Supply Chain
Communications, Media & Entertainment
Public Sector
Retail
Others
By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Colombia
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Streaming Real-Time Analytics manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of Streaming Real-Time Analytics in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Streaming Real-Time Analytics in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
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1 Market Overview
1.1 Streaming Real-Time Analytics Product Introduction
1.2 Global Streaming Real-Time Analytics Market Size Forecast
1.3 Streaming Real-Time Analytics Market Trends & Drivers
1.3.1 Streaming Real-Time Analytics Industry Trends
1.3.2 Streaming Real-Time Analytics Market Drivers & Opportunity
1.3.3 Streaming Real-Time Analytics Market Challenges
1.3.4 Streaming Real-Time Analytics Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Streaming Real-Time Analytics Players Revenue Ranking (2023)
2.2 Global Streaming Real-Time Analytics Revenue by Company (2019-2024)
2.3 Key Companies Streaming Real-Time Analytics Manufacturing Base Distribution and Headquarters
2.4 Key Companies Streaming Real-Time Analytics Product Offered
2.5 Key Companies Time to Begin Mass Production of Streaming Real-Time Analytics
2.6 Streaming Real-Time Analytics Market Competitive Analysis
2.6.1 Streaming Real-Time Analytics Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Streaming Real-Time Analytics Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Streaming Real-Time Analytics as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Fully-managed Services
3.1.2 Self-managed Services
3.2 Global Streaming Real-Time Analytics Sales Value by Type
3.2.1 Global Streaming Real-Time Analytics Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Streaming Real-Time Analytics Sales Value, by Type (2019-2030)
3.2.3 Global Streaming Real-Time Analytics Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Financial Services
4.1.2 Healthcare and Life Sciences
4.1.3 Manufacturing/Supply Chain
4.1.4 Communications, Media & Entertainment
4.1.5 Public Sector
4.1.6 Retail
4.1.7 Others
4.2 Global Streaming Real-Time Analytics Sales Value by Application
4.2.1 Global Streaming Real-Time Analytics Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Streaming Real-Time Analytics Sales Value, by Application (2019-2030)
4.2.3 Global Streaming Real-Time Analytics Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Streaming Real-Time Analytics Sales Value by Region
5.1.1 Global Streaming Real-Time Analytics Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Streaming Real-Time Analytics Sales Value by Region (2019-2024)
5.1.3 Global Streaming Real-Time Analytics Sales Value by Region (2025-2030)
5.1.4 Global Streaming Real-Time Analytics Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Streaming Real-Time Analytics Sales Value, 2019-2030
5.2.2 North America Streaming Real-Time Analytics Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Streaming Real-Time Analytics Sales Value, 2019-2030
5.3.2 Europe Streaming Real-Time Analytics Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Streaming Real-Time Analytics Sales Value, 2019-2030
5.4.2 Asia Pacific Streaming Real-Time Analytics Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Streaming Real-Time Analytics Sales Value, 2019-2030
5.5.2 South America Streaming Real-Time Analytics Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Streaming Real-Time Analytics Sales Value, 2019-2030
5.6.2 Middle East & Africa Streaming Real-Time Analytics Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Streaming Real-Time Analytics Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Streaming Real-Time Analytics Sales Value
6.3 United States
6.3.1 United States Streaming Real-Time Analytics Sales Value, 2019-2030
6.3.2 United States Streaming Real-Time Analytics Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Streaming Real-Time Analytics Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Streaming Real-Time Analytics Sales Value, 2019-2030
6.4.2 Europe Streaming Real-Time Analytics Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Streaming Real-Time Analytics Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Streaming Real-Time Analytics Sales Value, 2019-2030
6.5.2 China Streaming Real-Time Analytics Sales Value by Type (%), 2023 VS 2030
6.5.3 China Streaming Real-Time Analytics Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Streaming Real-Time Analytics Sales Value, 2019-2030
6.6.2 Japan Streaming Real-Time Analytics Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Streaming Real-Time Analytics Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Streaming Real-Time Analytics Sales Value, 2019-2030
6.7.2 South Korea Streaming Real-Time Analytics Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Streaming Real-Time Analytics Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Streaming Real-Time Analytics Sales Value, 2019-2030
6.8.2 Southeast Asia Streaming Real-Time Analytics Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Streaming Real-Time Analytics Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Streaming Real-Time Analytics Sales Value, 2019-2030
6.9.2 India Streaming Real-Time Analytics Sales Value by Type (%), 2023 VS 2030
6.9.3 India Streaming Real-Time Analytics Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Google
7.1.1 Google Profile
7.1.2 Google Main Business
7.1.3 Google Streaming Real-Time Analytics Products, Services and Solutions
7.1.4 Google Streaming Real-Time Analytics Revenue (US$ Million) & (2019-2024)
7.1.5 Google Recent Developments
7.2 Microsoft
7.2.1 Microsoft Profile
7.2.2 Microsoft Main Business
7.2.3 Microsoft Streaming Real-Time Analytics Products, Services and Solutions
7.2.4 Microsoft Streaming Real-Time Analytics Revenue (US$ Million) & (2019-2024)
7.2.5 Microsoft Recent Developments
7.3 Software AG
7.3.1 Software AG Profile
7.3.2 Software AG Main Business
7.3.3 Software AG Streaming Real-Time Analytics Products, Services and Solutions
7.3.4 Software AG Streaming Real-Time Analytics Revenue (US$ Million) & (2019-2024)
7.3.5 AWS Recent Developments
7.4 AWS
7.4.1 AWS Profile
7.4.2 AWS Main Business
7.4.3 AWS Streaming Real-Time Analytics Products, Services and Solutions
7.4.4 AWS Streaming Real-Time Analytics Revenue (US$ Million) & (2019-2024)
7.4.5 AWS Recent Developments
7.5 Oracle
7.5.1 Oracle Profile
7.5.2 Oracle Main Business
7.5.3 Oracle Streaming Real-Time Analytics Products, Services and Solutions
7.5.4 Oracle Streaming Real-Time Analytics Revenue (US$ Million) & (2019-2024)
7.5.5 Oracle Recent Developments
7.6 IBM
7.6.1 IBM Profile
7.6.2 IBM Main Business
7.6.3 IBM Streaming Real-Time Analytics Products, Services and Solutions
7.6.4 IBM Streaming Real-Time Analytics Revenue (US$ Million) & (2019-2024)
7.6.5 IBM Recent Developments
7.7 TIBCO
7.7.1 TIBCO Profile
7.7.2 TIBCO Main Business
7.7.3 TIBCO Streaming Real-Time Analytics Products, Services and Solutions
7.7.4 TIBCO Streaming Real-Time Analytics Revenue (US$ Million) & (2019-2024)
7.7.5 TIBCO Recent Developments
7.8 Confluent
7.8.1 Confluent Profile
7.8.2 Confluent Main Business
7.8.3 Confluent Streaming Real-Time Analytics Products, Services and Solutions
7.8.4 Confluent Streaming Real-Time Analytics Revenue (US$ Million) & (2019-2024)
7.8.5 Confluent Recent Developments
7.9 Altair
7.9.1 Altair Profile
7.9.2 Altair Main Business
7.9.3 Altair Streaming Real-Time Analytics Products, Services and Solutions
7.9.4 Altair Streaming Real-Time Analytics Revenue (US$ Million) & (2019-2024)
7.9.5 Altair Recent Developments
7.10 SAP
7.10.1 SAP Profile
7.10.2 SAP Main Business
7.10.3 SAP Streaming Real-Time Analytics Products, Services and Solutions
7.10.4 SAP Streaming Real-Time Analytics Revenue (US$ Million) & (2019-2024)
7.10.5 SAP Recent Developments
7.11 SAS
7.11.1 SAS Profile
7.11.2 SAS Main Business
7.11.3 SAS Streaming Real-Time Analytics Products, Services and Solutions
7.11.4 SAS Streaming Real-Time Analytics Revenue (US$ Million) & (2019-2024)
7.11.5 SAS Recent Developments
7.12 Cribl
7.12.1 Cribl Profile
7.12.2 Cribl Main Business
7.12.3 Cribl Streaming Real-Time Analytics Products, Services and Solutions
7.12.4 Cribl Streaming Real-Time Analytics Revenue (US$ Million) & (2019-2024)
7.12.5 Cribl Recent Developments
7.13 Cloudera
7.13.1 Cloudera Profile
7.13.2 Cloudera Main Business
7.13.3 Cloudera Streaming Real-Time Analytics Products, Services and Solutions
7.13.4 Cloudera Streaming Real-Time Analytics Revenue (US$ Million) & (2019-2024)
7.13.5 Cloudera Recent Developments
7.14 Hazelcast
7.14.1 Hazelcast Profile
7.14.2 Hazelcast Main Business
7.14.3 Hazelcast Streaming Real-Time Analytics Products, Services and Solutions
7.14.4 Hazelcast Streaming Real-Time Analytics Revenue (US$ Million) & (2019-2024)
7.14.5 Hazelcast Recent Developments
7.15 RapidMiner
7.15.1 RapidMiner Profile
7.15.2 RapidMiner Main Business
7.15.3 RapidMiner Streaming Real-Time Analytics Products, Services and Solutions
7.15.4 RapidMiner Streaming Real-Time Analytics Revenue (US$ Million) & (2019-2024)
7.15.5 RapidMiner Recent Developments
7.16 Memgraph
7.16.1 Memgraph Profile
7.16.2 Memgraph Main Business
7.16.3 Memgraph Streaming Real-Time Analytics Products, Services and Solutions
7.16.4 Memgraph Streaming Real-Time Analytics Revenue (US$ Million) & (2019-2024)
7.16.5 Memgraph Recent Developments
7.17 Guavus SQLstream
7.17.1 Guavus SQLstream Profile
7.17.2 Guavus SQLstream Main Business
7.17.3 Guavus SQLstream Streaming Real-Time Analytics Products, Services and Solutions
7.17.4 Guavus SQLstream Streaming Real-Time Analytics Revenue (US$ Million) & (2019-2024)
7.17.5 Guavus SQLstream Recent Developments
7.18 Informatica
7.18.1 Informatica Profile
7.18.2 Informatica Main Business
7.18.3 Informatica Streaming Real-Time Analytics Products, Services and Solutions
7.18.4 Informatica Streaming Real-Time Analytics Revenue (US$ Million) & (2019-2024)
7.18.5 Informatica Recent Developments
7.19 Gathr
7.19.1 Gathr Profile
7.19.2 Gathr Main Business
7.19.3 Gathr Streaming Real-Time Analytics Products, Services and Solutions
7.19.4 Gathr Streaming Real-Time Analytics Revenue (US$ Million) & (2019-2024)
7.19.5 Gathr Recent Developments
7.20 Alibaba
7.20.1 Alibaba Profile
7.20.2 Alibaba Main Business
7.20.3 Alibaba Streaming Real-Time Analytics Products, Services and Solutions
7.20.4 Alibaba Streaming Real-Time Analytics Revenue (US$ Million) & (2019-2024)
7.20.5 Alibaba Recent Developments
7.21 Baidu
7.21.1 Baidu Profile
7.21.2 Baidu Main Business
7.21.3 Baidu Streaming Real-Time Analytics Products, Services and Solutions
7.21.4 Baidu Streaming Real-Time Analytics Revenue (US$ Million) & (2019-2024)
7.21.5 Baidu Recent Developments
7.22 Huawei
7.22.1 Huawei Profile
7.22.2 Huawei Main Business
7.22.3 Huawei Streaming Real-Time Analytics Products, Services and Solutions
7.22.4 Huawei Streaming Real-Time Analytics Revenue (US$ Million) & (2019-2024)
7.22.5 Huawei Recent Developments
7.23 Tencent
7.23.1 Tencent Profile
7.23.2 Tencent Main Business
7.23.3 Tencent Streaming Real-Time Analytics Products, Services and Solutions
7.23.4 Tencent Streaming Real-Time Analytics Revenue (US$ Million) & (2019-2024)
7.23.5 Tencent Recent Developments
8 Industry Chain Analysis
8.1 Streaming Real-Time Analytics Industrial Chain
8.2 Streaming Real-Time Analytics Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Streaming Real-Time Analytics Sales Model
8.5.2 Sales Channel
8.5.3 Streaming Real-Time Analytics Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer
Google
Microsoft
Software AG
AWS
Oracle
IBM
TIBCO
Confluent
Altair
SAP
SAS
Cribl
Cloudera
Hazelcast
RapidMiner
Memgraph
Guavus SQLstream
Informatica
Gathr
Alibaba
Baidu
Huawei
Tencent
听
听
*If Applicable.
