Global Streaming Real-Time Analytics Market 2025 by Company, Regions, Type and Application, Forecast to 2031

According to our (Global Info Research) latest study, the global Streaming Real-Time Analytics market size was valued at US$ 21440 million in 2024 and is forecast to a readjusted size of USD 67200 million by 2031 with a CAGR of 17.9% during review period.

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 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 is a detailed and comprehensive analysis for global Streaming Real-Time Analytics market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.

Key Features:

Global Streaming Real-Time Analytics market size and forecasts, in consumption value ($ Million), 2020-2031

Global Streaming Real-Time Analytics market size and forecasts by region and country, in consumption value ($ Million), 2020-2031

Global Streaming Real-Time Analytics market size and forecasts, by Type and by Application, in consumption value ($ Million), 2020-2031

Global Streaming Real-Time Analytics market shares of main players, in revenue ($ Million), 2020-2025

The Primary Objectives in This Report Are:

To determine the size of the total market opportunity of global and key countries

To assess the growth potential for Streaming Real-Time Analytics

To forecast future growth in each product and end-use market

To assess competitive factors affecting the marketplace

This report profiles key players in the global Streaming Real-Time Analytics market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Google, Microsoft, Software AG, AWS, Oracle, IBM, TIBCO, Confluent, Altair, SAP, etc.

This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.

Market segmentation

Streaming Real-Time Analytics market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.

Market segment by Type
Fully-managed Services
Self-managed Services

Market segment by Application
Financial Services
Healthcare and Life Sciences
Manufacturing/Supply Chain
Communications, Media & Entertainment
Public Sector
Retail
Others

Market segment by players, this report covers
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

Market segment by regions, regional analysis covers

North America (United States, Canada and Mexico)

Europe (Germany, France, UK, Russia, Italy and Rest of Europe)

Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)

South America (Brazil, Rest of South America)

Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)

The content of the study subjects, includes a total of 13 chapters:

Chapter 1, to describe Streaming Real-Time Analytics product scope, market overview, market estimation caveats and base year.

Chapter 2, to profile the top players of Streaming Real-Time Analytics, with revenue, gross margin, and global market share of Streaming Real-Time Analytics from 2020 to 2025.

Chapter 3, the Streaming Real-Time Analytics competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.

Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2020 to 2031

Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2020 to 2025.and Streaming Real-Time Analytics market forecast, by regions, by Type and by Application, with consumption value, from 2026 to 2031.

Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.

Chapter 12, the key raw materials and key suppliers, and industry chain of Streaming Real-Time Analytics.

Chapter 13, to describe Streaming Real-Time Analytics research findings and conclusion.