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 Streaming Real-Time Analytics market was valued at US$ 15360 million in 2023 and is anticipated to reach US$ 49160 million by 2030, witnessing 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.
This report aims to provide a comprehensive presentation of the global market for Streaming Real-Time Analytics, 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.
Report Scope
The Streaming Real-Time Analytics market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Streaming Real-Time Analytics market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Streaming Real-Time Analytics companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
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
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Streaming Real-Time Analytics companies鈥� competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Streaming Real-Time Analytics Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Fully-managed Services
1.2.3 Self-managed Services
1.3 Market by Application
1.3.1 Global Streaming Real-Time Analytics Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Financial Services
1.3.3 Healthcare and Life Sciences
1.3.4 Manufacturing/Supply Chain
1.3.5 Communications, Media & Entertainment
1.3.6 Public Sector
1.3.7 Retail
1.3.8 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Streaming Real-Time Analytics Market Perspective (2019-2030)
2.2 Streaming Real-Time Analytics Growth Trends by Region
2.2.1 Global Streaming Real-Time Analytics Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Streaming Real-Time Analytics Historic Market Size by Region (2019-2024)
2.2.3 Streaming Real-Time Analytics Forecasted Market Size by Region (2025-2030)
2.3 Streaming Real-Time Analytics Market Dynamics
2.3.1 Streaming Real-Time Analytics Industry Trends
2.3.2 Streaming Real-Time Analytics Market Drivers
2.3.3 Streaming Real-Time Analytics Market Challenges
2.3.4 Streaming Real-Time Analytics Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Streaming Real-Time Analytics Players by Revenue
3.1.1 Global Top Streaming Real-Time Analytics Players by Revenue (2019-2024)
3.1.2 Global Streaming Real-Time Analytics Revenue Market Share by Players (2019-2024)
3.2 Global Streaming Real-Time Analytics Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Streaming Real-Time Analytics Revenue
3.4 Global Streaming Real-Time Analytics Market Concentration Ratio
3.4.1 Global Streaming Real-Time Analytics Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Streaming Real-Time Analytics Revenue in 2023
3.5 Streaming Real-Time Analytics Key Players Head office and Area Served
3.6 Key Players Streaming Real-Time Analytics Product Solution and Service
3.7 Date of Enter into Streaming Real-Time Analytics Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Streaming Real-Time Analytics Breakdown Data by Type
4.1 Global Streaming Real-Time Analytics Historic Market Size by Type (2019-2024)
4.2 Global Streaming Real-Time Analytics Forecasted Market Size by Type (2025-2030)
5 Streaming Real-Time Analytics Breakdown Data by Application
5.1 Global Streaming Real-Time Analytics Historic Market Size by Application (2019-2024)
5.2 Global Streaming Real-Time Analytics Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Streaming Real-Time Analytics Market Size (2019-2030)
6.2 North America Streaming Real-Time Analytics Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Streaming Real-Time Analytics Market Size by Country (2019-2024)
6.4 North America Streaming Real-Time Analytics Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Streaming Real-Time Analytics Market Size (2019-2030)
7.2 Europe Streaming Real-Time Analytics Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Streaming Real-Time Analytics Market Size by Country (2019-2024)
7.4 Europe Streaming Real-Time Analytics Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Streaming Real-Time Analytics Market Size (2019-2030)
8.2 Asia-Pacific Streaming Real-Time Analytics Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Streaming Real-Time Analytics Market Size by Region (2019-2024)
8.4 Asia-Pacific Streaming Real-Time Analytics Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Streaming Real-Time Analytics Market Size (2019-2030)
9.2 Latin America Streaming Real-Time Analytics Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Streaming Real-Time Analytics Market Size by Country (2019-2024)
9.4 Latin America Streaming Real-Time Analytics Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Streaming Real-Time Analytics Market Size (2019-2030)
10.2 Middle East & Africa Streaming Real-Time Analytics Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Streaming Real-Time Analytics Market Size by Country (2019-2024)
10.4 Middle East & Africa Streaming Real-Time Analytics Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Google
11.1.1 Google Company Detail
11.1.2 Google Business Overview
11.1.3 Google Streaming Real-Time Analytics Introduction
11.1.4 Google Revenue in Streaming Real-Time Analytics Business (2019-2024)
11.1.5 Google Recent Development
11.2 Microsoft
11.2.1 Microsoft Company Detail
11.2.2 Microsoft Business Overview
11.2.3 Microsoft Streaming Real-Time Analytics Introduction
11.2.4 Microsoft Revenue in Streaming Real-Time Analytics Business (2019-2024)
11.2.5 Microsoft Recent Development
11.3 Software AG
11.3.1 Software AG Company Detail
11.3.2 Software AG Business Overview
11.3.3 Software AG Streaming Real-Time Analytics Introduction
11.3.4 Software AG Revenue in Streaming Real-Time Analytics Business (2019-2024)
11.3.5 Software AG Recent Development
11.4 AWS
11.4.1 AWS Company Detail
11.4.2 AWS Business Overview
11.4.3 AWS Streaming Real-Time Analytics Introduction
11.4.4 AWS Revenue in Streaming Real-Time Analytics Business (2019-2024)
11.4.5 AWS Recent Development
11.5 Oracle
11.5.1 Oracle Company Detail
11.5.2 Oracle Business Overview
11.5.3 Oracle Streaming Real-Time Analytics Introduction
11.5.4 Oracle Revenue in Streaming Real-Time Analytics Business (2019-2024)
11.5.5 Oracle Recent Development
11.6 IBM
11.6.1 IBM Company Detail
11.6.2 IBM Business Overview
11.6.3 IBM Streaming Real-Time Analytics Introduction
11.6.4 IBM Revenue in Streaming Real-Time Analytics Business (2019-2024)
11.6.5 IBM Recent Development
11.7 TIBCO
11.7.1 TIBCO Company Detail
11.7.2 TIBCO Business Overview
11.7.3 TIBCO Streaming Real-Time Analytics Introduction
11.7.4 TIBCO Revenue in Streaming Real-Time Analytics Business (2019-2024)
11.7.5 TIBCO Recent Development
11.8 Confluent
11.8.1 Confluent Company Detail
11.8.2 Confluent Business Overview
11.8.3 Confluent Streaming Real-Time Analytics Introduction
11.8.4 Confluent Revenue in Streaming Real-Time Analytics Business (2019-2024)
11.8.5 Confluent Recent Development
11.9 Altair
11.9.1 Altair Company Detail
11.9.2 Altair Business Overview
11.9.3 Altair Streaming Real-Time Analytics Introduction
11.9.4 Altair Revenue in Streaming Real-Time Analytics Business (2019-2024)
11.9.5 Altair Recent Development
11.10 SAP
11.10.1 SAP Company Detail
11.10.2 SAP Business Overview
11.10.3 SAP Streaming Real-Time Analytics Introduction
11.10.4 SAP Revenue in Streaming Real-Time Analytics Business (2019-2024)
11.10.5 SAP Recent Development
11.11 SAS
11.11.1 SAS Company Detail
11.11.2 SAS Business Overview
11.11.3 SAS Streaming Real-Time Analytics Introduction
11.11.4 SAS Revenue in Streaming Real-Time Analytics Business (2019-2024)
11.11.5 SAS Recent Development
11.12 Cribl
11.12.1 Cribl Company Detail
11.12.2 Cribl Business Overview
11.12.3 Cribl Streaming Real-Time Analytics Introduction
11.12.4 Cribl Revenue in Streaming Real-Time Analytics Business (2019-2024)
11.12.5 Cribl Recent Development
11.13 Cloudera
11.13.1 Cloudera Company Detail
11.13.2 Cloudera Business Overview
11.13.3 Cloudera Streaming Real-Time Analytics Introduction
11.13.4 Cloudera Revenue in Streaming Real-Time Analytics Business (2019-2024)
11.13.5 Cloudera Recent Development
11.14 Hazelcast
11.14.1 Hazelcast Company Detail
11.14.2 Hazelcast Business Overview
11.14.3 Hazelcast Streaming Real-Time Analytics Introduction
11.14.4 Hazelcast Revenue in Streaming Real-Time Analytics Business (2019-2024)
11.14.5 Hazelcast Recent Development
11.15 RapidMiner
11.15.1 RapidMiner Company Detail
11.15.2 RapidMiner Business Overview
11.15.3 RapidMiner Streaming Real-Time Analytics Introduction
11.15.4 RapidMiner Revenue in Streaming Real-Time Analytics Business (2019-2024)
11.15.5 RapidMiner Recent Development
11.16 Memgraph
11.16.1 Memgraph Company Detail
11.16.2 Memgraph Business Overview
11.16.3 Memgraph Streaming Real-Time Analytics Introduction
11.16.4 Memgraph Revenue in Streaming Real-Time Analytics Business (2019-2024)
11.16.5 Memgraph Recent Development
11.17 Guavus SQLstream
11.17.1 Guavus SQLstream Company Detail
11.17.2 Guavus SQLstream Business Overview
11.17.3 Guavus SQLstream Streaming Real-Time Analytics Introduction
11.17.4 Guavus SQLstream Revenue in Streaming Real-Time Analytics Business (2019-2024)
11.17.5 Guavus SQLstream Recent Development
11.18 Informatica
11.18.1 Informatica Company Detail
11.18.2 Informatica Business Overview
11.18.3 Informatica Streaming Real-Time Analytics Introduction
11.18.4 Informatica Revenue in Streaming Real-Time Analytics Business (2019-2024)
11.18.5 Informatica Recent Development
11.19 Gathr
11.19.1 Gathr Company Detail
11.19.2 Gathr Business Overview
11.19.3 Gathr Streaming Real-Time Analytics Introduction
11.19.4 Gathr Revenue in Streaming Real-Time Analytics Business (2019-2024)
11.19.5 Gathr Recent Development
11.20 Alibaba
11.20.1 Alibaba Company Detail
11.20.2 Alibaba Business Overview
11.20.3 Alibaba Streaming Real-Time Analytics Introduction
11.20.4 Alibaba Revenue in Streaming Real-Time Analytics Business (2019-2024)
11.20.5 Alibaba Recent Development
11.21 Baidu
11.21.1 Baidu Company Detail
11.21.2 Baidu Business Overview
11.21.3 Baidu Streaming Real-Time Analytics Introduction
11.21.4 Baidu Revenue in Streaming Real-Time Analytics Business (2019-2024)
11.21.5 Baidu Recent Development
11.22 Huawei
11.22.1 Huawei Company Detail
11.22.2 Huawei Business Overview
11.22.3 Huawei Streaming Real-Time Analytics Introduction
11.22.4 Huawei Revenue in Streaming Real-Time Analytics Business (2019-2024)
11.22.5 Huawei Recent Development
11.23 Tencent
11.23.1 Tencent Company Detail
11.23.2 Tencent Business Overview
11.23.3 Tencent Streaming Real-Time Analytics Introduction
11.23.4 Tencent Revenue in Streaming Real-Time Analytics Business (2019-2024)
11.23.5 Tencent Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
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.
