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Global Event Stream Processing Software Market Research Report 2024
Synopsis
Event Stream Processing Software (ESPS) is a software solution that enables the processing and analysis of data streams in real time. Data streams are continuous flows of data from various sources, such as sensors, social media, transactions, market feeds, etc. ESPS allows users to apply complex event processing, stream analytics, stream data integration and other techniques to extract insights, detect patterns, monitor performance, trigger actions and more from the streaming data. ESPS differs from batch processing software, which focuses on historical data and requires storing the data before processing it. ESPS can handle unbounded and dynamic data and provide immediate responses to current situations.
The global Event Stream Processing Software market was valued at US$ 1190.5 million in 2023 and is anticipated to reach US$ 3445 million by 2030, witnessing a CAGR of 16.1% during the forecast period 2024-2030.
The industry trend of ESPS is expected to be positive and growing in the coming years, as more organizations realize the benefits of optimizing their decision intelligence and real-time applications by tapping the growing availability of streaming data. Some of the factors that are influencing the evolution of ESPS are the adoption of cloud-based solutions, the integration of Internet of Things (IoT) devices and sensors, the use of artificial intelligence (AI) and machine learning (ML) algorithms, the implementation of contactless and automated processes, and the enhancement of data analytics and reporting capabilities.
This report aims to provide a comprehensive presentation of the global market for Event Stream Processing Software, 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 Event Stream Processing Software.
Report Scope
The Event Stream Processing Software 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 Event Stream Processing Software 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 Event Stream Processing Software 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
Amazon
Apache Spark
Confluent
Crosser
Eventador
Hazelcast
Heron
IBM
Informatica
Instaclustr
Leo Platform
Oracle
Quickmetrics
Radicalbit
SAS
SnappyData
Spring Cloud Data Flow
StreamSets
Striim
TIBCO
Segment by Type
Cloud Based
Web Based
Segment by Application
Large Enterprises
SMEs
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 Event Stream Processing Software companies’ 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.
Event Stream Processing Software (ESPS) is a software solution that enables the processing and analysis of data streams in real time. Data streams are continuous flows of data from various sources, such as sensors, social media, transactions, market feeds, etc. ESPS allows users to apply complex event processing, stream analytics, stream data integration and other techniques to extract insights, detect patterns, monitor performance, trigger actions and more from the streaming data. ESPS differs from batch processing software, which focuses on historical data and requires storing the data before processing it. ESPS can handle unbounded and dynamic data and provide immediate responses to current situations.
The global Event Stream Processing Software market was valued at US$ 1190.5 million in 2023 and is anticipated to reach US$ 3445 million by 2030, witnessing a CAGR of 16.1% during the forecast period 2024-2030.
The industry trend of ESPS is expected to be positive and growing in the coming years, as more organizations realize the benefits of optimizing their decision intelligence and real-time applications by tapping the growing availability of streaming data. Some of the factors that are influencing the evolution of ESPS are the adoption of cloud-based solutions, the integration of Internet of Things (IoT) devices and sensors, the use of artificial intelligence (AI) and machine learning (ML) algorithms, the implementation of contactless and automated processes, and the enhancement of data analytics and reporting capabilities.
This report aims to provide a comprehensive presentation of the global market for Event Stream Processing Software, 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 Event Stream Processing Software.
Report Scope
The Event Stream Processing Software 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 Event Stream Processing Software 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 Event Stream Processing Software 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
Amazon
Apache Spark
Confluent
Crosser
Eventador
Hazelcast
Heron
IBM
Informatica
Instaclustr
Leo Platform
Oracle
Quickmetrics
Radicalbit
SAS
SnappyData
Spring Cloud Data Flow
StreamSets
Striim
TIBCO
Segment by Type
Cloud Based
Web Based
Segment by Application
Large Enterprises
SMEs
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 Event Stream Processing Software companies’ 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.
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Event Stream Processing Software Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Cloud Based
1.2.3 Web Based
1.3 Market by Application
1.3.1 Global Event Stream Processing Software Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Large Enterprises
1.3.3 SMEs
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Event Stream Processing Software Market Perspective (2019-2030)
2.2 Event Stream Processing Software Growth Trends by Region
2.2.1 Global Event Stream Processing Software Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Event Stream Processing Software Historic Market Size by Region (2019-2024)
2.2.3 Event Stream Processing Software Forecasted Market Size by Region (2025-2030)
2.3 Event Stream Processing Software Market Dynamics
2.3.1 Event Stream Processing Software Industry Trends
2.3.2 Event Stream Processing Software Market Drivers
2.3.3 Event Stream Processing Software Market Challenges
2.3.4 Event Stream Processing Software Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Event Stream Processing Software Players by Revenue
3.1.1 Global Top Event Stream Processing Software Players by Revenue (2019-2024)
3.1.2 Global Event Stream Processing Software Revenue Market Share by Players (2019-2024)
3.2 Global Event Stream Processing Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Event Stream Processing Software Revenue
3.4 Global Event Stream Processing Software Market Concentration Ratio
3.4.1 Global Event Stream Processing Software Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Event Stream Processing Software Revenue in 2023
3.5 Event Stream Processing Software Key Players Head office and Area Served
3.6 Key Players Event Stream Processing Software Product Solution and Service
3.7 Date of Enter into Event Stream Processing Software Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Event Stream Processing Software Breakdown Data by Type
4.1 Global Event Stream Processing Software Historic Market Size by Type (2019-2024)
4.2 Global Event Stream Processing Software Forecasted Market Size by Type (2025-2030)
5 Event Stream Processing Software Breakdown Data by Application
5.1 Global Event Stream Processing Software Historic Market Size by Application (2019-2024)
5.2 Global Event Stream Processing Software Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Event Stream Processing Software Market Size (2019-2030)
6.2 North America Event Stream Processing Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Event Stream Processing Software Market Size by Country (2019-2024)
6.4 North America Event Stream Processing Software Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Event Stream Processing Software Market Size (2019-2030)
7.2 Europe Event Stream Processing Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Event Stream Processing Software Market Size by Country (2019-2024)
7.4 Europe Event Stream Processing Software 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 Event Stream Processing Software Market Size (2019-2030)
8.2 Asia-Pacific Event Stream Processing Software Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Event Stream Processing Software Market Size by Region (2019-2024)
8.4 Asia-Pacific Event Stream Processing Software 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 Event Stream Processing Software Market Size (2019-2030)
9.2 Latin America Event Stream Processing Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Event Stream Processing Software Market Size by Country (2019-2024)
9.4 Latin America Event Stream Processing Software Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Event Stream Processing Software Market Size (2019-2030)
10.2 Middle East & Africa Event Stream Processing Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Event Stream Processing Software Market Size by Country (2019-2024)
10.4 Middle East & Africa Event Stream Processing Software Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Amazon
11.1.1 Amazon Company Detail
11.1.2 Amazon Business Overview
11.1.3 Amazon Event Stream Processing Software Introduction
11.1.4 Amazon Revenue in Event Stream Processing Software Business (2019-2024)
11.1.5 Amazon Recent Development
11.2 Apache Spark
11.2.1 Apache Spark Company Detail
11.2.2 Apache Spark Business Overview
11.2.3 Apache Spark Event Stream Processing Software Introduction
11.2.4 Apache Spark Revenue in Event Stream Processing Software Business (2019-2024)
11.2.5 Apache Spark Recent Development
11.3 Confluent
11.3.1 Confluent Company Detail
11.3.2 Confluent Business Overview
11.3.3 Confluent Event Stream Processing Software Introduction
11.3.4 Confluent Revenue in Event Stream Processing Software Business (2019-2024)
11.3.5 Confluent Recent Development
11.4 Crosser
11.4.1 Crosser Company Detail
11.4.2 Crosser Business Overview
11.4.3 Crosser Event Stream Processing Software Introduction
11.4.4 Crosser Revenue in Event Stream Processing Software Business (2019-2024)
11.4.5 Crosser Recent Development
11.5 Eventador
11.5.1 Eventador Company Detail
11.5.2 Eventador Business Overview
11.5.3 Eventador Event Stream Processing Software Introduction
11.5.4 Eventador Revenue in Event Stream Processing Software Business (2019-2024)
11.5.5 Eventador Recent Development
11.6 Hazelcast
11.6.1 Hazelcast Company Detail
11.6.2 Hazelcast Business Overview
11.6.3 Hazelcast Event Stream Processing Software Introduction
11.6.4 Hazelcast Revenue in Event Stream Processing Software Business (2019-2024)
11.6.5 Hazelcast Recent Development
11.7 Heron
11.7.1 Heron Company Detail
11.7.2 Heron Business Overview
11.7.3 Heron Event Stream Processing Software Introduction
11.7.4 Heron Revenue in Event Stream Processing Software Business (2019-2024)
11.7.5 Heron Recent Development
11.8 IBM
11.8.1 IBM Company Detail
11.8.2 IBM Business Overview
11.8.3 IBM Event Stream Processing Software Introduction
11.8.4 IBM Revenue in Event Stream Processing Software Business (2019-2024)
11.8.5 IBM Recent Development
11.9 Informatica
11.9.1 Informatica Company Detail
11.9.2 Informatica Business Overview
11.9.3 Informatica Event Stream Processing Software Introduction
11.9.4 Informatica Revenue in Event Stream Processing Software Business (2019-2024)
11.9.5 Informatica Recent Development
11.10 Instaclustr
11.10.1 Instaclustr Company Detail
11.10.2 Instaclustr Business Overview
11.10.3 Instaclustr Event Stream Processing Software Introduction
11.10.4 Instaclustr Revenue in Event Stream Processing Software Business (2019-2024)
11.10.5 Instaclustr Recent Development
11.11 Leo Platform
11.11.1 Leo Platform Company Detail
11.11.2 Leo Platform Business Overview
11.11.3 Leo Platform Event Stream Processing Software Introduction
11.11.4 Leo Platform Revenue in Event Stream Processing Software Business (2019-2024)
11.11.5 Leo Platform Recent Development
11.12 Oracle
11.12.1 Oracle Company Detail
11.12.2 Oracle Business Overview
11.12.3 Oracle Event Stream Processing Software Introduction
11.12.4 Oracle Revenue in Event Stream Processing Software Business (2019-2024)
11.12.5 Oracle Recent Development
11.13 Quickmetrics
11.13.1 Quickmetrics Company Detail
11.13.2 Quickmetrics Business Overview
11.13.3 Quickmetrics Event Stream Processing Software Introduction
11.13.4 Quickmetrics Revenue in Event Stream Processing Software Business (2019-2024)
11.13.5 Quickmetrics Recent Development
11.14 Radicalbit
11.14.1 Radicalbit Company Detail
11.14.2 Radicalbit Business Overview
11.14.3 Radicalbit Event Stream Processing Software Introduction
11.14.4 Radicalbit Revenue in Event Stream Processing Software Business (2019-2024)
11.14.5 Radicalbit Recent Development
11.15 SAS
11.15.1 SAS Company Detail
11.15.2 SAS Business Overview
11.15.3 SAS Event Stream Processing Software Introduction
11.15.4 SAS Revenue in Event Stream Processing Software Business (2019-2024)
11.15.5 SAS Recent Development
11.16 SnappyData
11.16.1 SnappyData Company Detail
11.16.2 SnappyData Business Overview
11.16.3 SnappyData Event Stream Processing Software Introduction
11.16.4 SnappyData Revenue in Event Stream Processing Software Business (2019-2024)
11.16.5 SnappyData Recent Development
11.17 Spring Cloud Data Flow
11.17.1 Spring Cloud Data Flow Company Detail
11.17.2 Spring Cloud Data Flow Business Overview
11.17.3 Spring Cloud Data Flow Event Stream Processing Software Introduction
11.17.4 Spring Cloud Data Flow Revenue in Event Stream Processing Software Business (2019-2024)
11.17.5 Spring Cloud Data Flow Recent Development
11.18 StreamSets
11.18.1 StreamSets Company Detail
11.18.2 StreamSets Business Overview
11.18.3 StreamSets Event Stream Processing Software Introduction
11.18.4 StreamSets Revenue in Event Stream Processing Software Business (2019-2024)
11.18.5 StreamSets Recent Development
11.19 Striim
11.19.1 Striim Company Detail
11.19.2 Striim Business Overview
11.19.3 Striim Event Stream Processing Software Introduction
11.19.4 Striim Revenue in Event Stream Processing Software Business (2019-2024)
11.19.5 Striim Recent Development
11.20 TIBCO
11.20.1 TIBCO Company Detail
11.20.2 TIBCO Business Overview
11.20.3 TIBCO Event Stream Processing Software Introduction
11.20.4 TIBCO Revenue in Event Stream Processing Software Business (2019-2024)
11.20.5 TIBCO 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
Published By : QY Research
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