Event Stream Processing Software - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB509248530

Publication Date:

September 26, 2024

Pages:

148

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

IT Services [2]

Computing & Electronics [3]

Description:

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 market for Event Stream Processing Software was estimated to be worth US$ 1190.5 million in 2023 and is forecast to a readjusted size of US$ 3445 million by 2030 with 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.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Event Stream Processing Software, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Event Stream Processing Software by region & country, by Type, and by Application.
The Event Stream Processing Software 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 Event Stream Processing Software.
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
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
U.A.E
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 Event Stream Processing Software 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 Event Stream Processing Software 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 Event Stream Processing Software 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.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Market Overview
1.1 Event Stream Processing Software Product Introduction
1.2 Global Event Stream Processing Software Market Size Forecast
1.3 Event Stream Processing Software Market Trends & Drivers
1.3.1 Event Stream Processing Software Industry Trends
1.3.2 Event Stream Processing Software Market Drivers & Opportunity
1.3.3 Event Stream Processing Software Market Challenges
1.3.4 Event Stream Processing Software Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Event Stream Processing Software Players Revenue Ranking (2023)
2.2 Global Event Stream Processing Software Revenue by Company (2019-2024)
2.3 Key Companies Event Stream Processing Software Manufacturing Base Distribution and Headquarters
2.4 Key Companies Event Stream Processing Software Product Offered
2.5 Key Companies Time to Begin Mass Production of Event Stream Processing Software
2.6 Event Stream Processing Software Market Competitive Analysis
2.6.1 Event Stream Processing Software Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Event Stream Processing Software Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Event Stream Processing Software as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Cloud Based
3.1.2 Web Based
3.2 Global Event Stream Processing Software Sales Value by Type
3.2.1 Global Event Stream Processing Software Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Event Stream Processing Software Sales Value, by Type (2019-2030)
3.2.3 Global Event Stream Processing Software Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Large Enterprises
4.1.2 SMEs
4.2 Global Event Stream Processing Software Sales Value by Application
4.2.1 Global Event Stream Processing Software Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Event Stream Processing Software Sales Value, by Application (2019-2030)
4.2.3 Global Event Stream Processing Software Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Event Stream Processing Software Sales Value by Region
5.1.1 Global Event Stream Processing Software Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Event Stream Processing Software Sales Value by Region (2019-2024)
5.1.3 Global Event Stream Processing Software Sales Value by Region (2025-2030)
5.1.4 Global Event Stream Processing Software Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Event Stream Processing Software Sales Value, 2019-2030
5.2.2 North America Event Stream Processing Software Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Event Stream Processing Software Sales Value, 2019-2030
5.3.2 Europe Event Stream Processing Software Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Event Stream Processing Software Sales Value, 2019-2030
5.4.2 Asia Pacific Event Stream Processing Software Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Event Stream Processing Software Sales Value, 2019-2030
5.5.2 South America Event Stream Processing Software Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Event Stream Processing Software Sales Value, 2019-2030
5.6.2 Middle East & Africa Event Stream Processing Software Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Event Stream Processing Software Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Event Stream Processing Software Sales Value
6.3 United States
6.3.1 United States Event Stream Processing Software Sales Value, 2019-2030
6.3.2 United States Event Stream Processing Software Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Event Stream Processing Software Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Event Stream Processing Software Sales Value, 2019-2030
6.4.2 Europe Event Stream Processing Software Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Event Stream Processing Software Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Event Stream Processing Software Sales Value, 2019-2030
6.5.2 China Event Stream Processing Software Sales Value by Type (%), 2023 VS 2030
6.5.3 China Event Stream Processing Software Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Event Stream Processing Software Sales Value, 2019-2030
6.6.2 Japan Event Stream Processing Software Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Event Stream Processing Software Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Event Stream Processing Software Sales Value, 2019-2030
6.7.2 South Korea Event Stream Processing Software Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Event Stream Processing Software Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Event Stream Processing Software Sales Value, 2019-2030
6.8.2 Southeast Asia Event Stream Processing Software Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Event Stream Processing Software Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Event Stream Processing Software Sales Value, 2019-2030
6.9.2 India Event Stream Processing Software Sales Value by Type (%), 2023 VS 2030
6.9.3 India Event Stream Processing Software Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Amazon
7.1.1 Amazon Profile
7.1.2 Amazon Main Business
7.1.3 Amazon Event Stream Processing Software Products, Services and Solutions
7.1.4 Amazon Event Stream Processing Software Revenue (US$ Million) & (2019-2024)
7.1.5 Amazon Recent Developments
7.2 Apache Spark
7.2.1 Apache Spark Profile
7.2.2 Apache Spark Main Business
7.2.3 Apache Spark Event Stream Processing Software Products, Services and Solutions
7.2.4 Apache Spark Event Stream Processing Software Revenue (US$ Million) & (2019-2024)
7.2.5 Apache Spark Recent Developments
7.3 Confluent
7.3.1 Confluent Profile
7.3.2 Confluent Main Business
7.3.3 Confluent Event Stream Processing Software Products, Services and Solutions
7.3.4 Confluent Event Stream Processing Software Revenue (US$ Million) & (2019-2024)
7.3.5 Crosser Recent Developments
7.4 Crosser
7.4.1 Crosser Profile
7.4.2 Crosser Main Business
7.4.3 Crosser Event Stream Processing Software Products, Services and Solutions
7.4.4 Crosser Event Stream Processing Software Revenue (US$ Million) & (2019-2024)
7.4.5 Crosser Recent Developments
7.5 Eventador
7.5.1 Eventador Profile
7.5.2 Eventador Main Business
7.5.3 Eventador Event Stream Processing Software Products, Services and Solutions
7.5.4 Eventador Event Stream Processing Software Revenue (US$ Million) & (2019-2024)
7.5.5 Eventador Recent Developments
7.6 Hazelcast
7.6.1 Hazelcast Profile
7.6.2 Hazelcast Main Business
7.6.3 Hazelcast Event Stream Processing Software Products, Services and Solutions
7.6.4 Hazelcast Event Stream Processing Software Revenue (US$ Million) & (2019-2024)
7.6.5 Hazelcast Recent Developments
7.7 Heron
7.7.1 Heron Profile
7.7.2 Heron Main Business
7.7.3 Heron Event Stream Processing Software Products, Services and Solutions
7.7.4 Heron Event Stream Processing Software Revenue (US$ Million) & (2019-2024)
7.7.5 Heron Recent Developments
7.8 IBM
7.8.1 IBM Profile
7.8.2 IBM Main Business
7.8.3 IBM Event Stream Processing Software Products, Services and Solutions
7.8.4 IBM Event Stream Processing Software Revenue (US$ Million) & (2019-2024)
7.8.5 IBM Recent Developments
7.9 Informatica
7.9.1 Informatica Profile
7.9.2 Informatica Main Business
7.9.3 Informatica Event Stream Processing Software Products, Services and Solutions
7.9.4 Informatica Event Stream Processing Software Revenue (US$ Million) & (2019-2024)
7.9.5 Informatica Recent Developments
7.10 Instaclustr
7.10.1 Instaclustr Profile
7.10.2 Instaclustr Main Business
7.10.3 Instaclustr Event Stream Processing Software Products, Services and Solutions
7.10.4 Instaclustr Event Stream Processing Software Revenue (US$ Million) & (2019-2024)
7.10.5 Instaclustr Recent Developments
7.11 Leo Platform
7.11.1 Leo Platform Profile
7.11.2 Leo Platform Main Business
7.11.3 Leo Platform Event Stream Processing Software Products, Services and Solutions
7.11.4 Leo Platform Event Stream Processing Software Revenue (US$ Million) & (2019-2024)
7.11.5 Leo Platform Recent Developments
7.12 Oracle
7.12.1 Oracle Profile
7.12.2 Oracle Main Business
7.12.3 Oracle Event Stream Processing Software Products, Services and Solutions
7.12.4 Oracle Event Stream Processing Software Revenue (US$ Million) & (2019-2024)
7.12.5 Oracle Recent Developments
7.13 Quickmetrics
7.13.1 Quickmetrics Profile
7.13.2 Quickmetrics Main Business
7.13.3 Quickmetrics Event Stream Processing Software Products, Services and Solutions
7.13.4 Quickmetrics Event Stream Processing Software Revenue (US$ Million) & (2019-2024)
7.13.5 Quickmetrics Recent Developments
7.14 Radicalbit
7.14.1 Radicalbit Profile
7.14.2 Radicalbit Main Business
7.14.3 Radicalbit Event Stream Processing Software Products, Services and Solutions
7.14.4 Radicalbit Event Stream Processing Software Revenue (US$ Million) & (2019-2024)
7.14.5 Radicalbit Recent Developments
7.15 SAS
7.15.1 SAS Profile
7.15.2 SAS Main Business
7.15.3 SAS Event Stream Processing Software Products, Services and Solutions
7.15.4 SAS Event Stream Processing Software Revenue (US$ Million) & (2019-2024)
7.15.5 SAS Recent Developments
7.16 SnappyData
7.16.1 SnappyData Profile
7.16.2 SnappyData Main Business
7.16.3 SnappyData Event Stream Processing Software Products, Services and Solutions
7.16.4 SnappyData Event Stream Processing Software Revenue (US$ Million) & (2019-2024)
7.16.5 SnappyData Recent Developments
7.17 Spring Cloud Data Flow
7.17.1 Spring Cloud Data Flow Profile
7.17.2 Spring Cloud Data Flow Main Business
7.17.3 Spring Cloud Data Flow Event Stream Processing Software Products, Services and Solutions
7.17.4 Spring Cloud Data Flow Event Stream Processing Software Revenue (US$ Million) & (2019-2024)
7.17.5 Spring Cloud Data Flow Recent Developments
7.18 StreamSets
7.18.1 StreamSets Profile
7.18.2 StreamSets Main Business
7.18.3 StreamSets Event Stream Processing Software Products, Services and Solutions
7.18.4 StreamSets Event Stream Processing Software Revenue (US$ Million) & (2019-2024)
7.18.5 StreamSets Recent Developments
7.19 Striim
7.19.1 Striim Profile
7.19.2 Striim Main Business
7.19.3 Striim Event Stream Processing Software Products, Services and Solutions
7.19.4 Striim Event Stream Processing Software Revenue (US$ Million) & (2019-2024)
7.19.5 Striim Recent Developments
7.20 TIBCO
7.20.1 TIBCO Profile
7.20.2 TIBCO Main Business
7.20.3 TIBCO Event Stream Processing Software Products, Services and Solutions
7.20.4 TIBCO Event Stream Processing Software Revenue (US$ Million) & (2019-2024)
7.20.5 TIBCO Recent Developments
8 Industry Chain Analysis
8.1 Event Stream Processing Software Industrial Chain
8.2 Event Stream Processing Software 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 Event Stream Processing Software Sales Model
8.5.2 Sales Channel
8.5.3 Event Stream Processing Software 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

Companies Mentioned:

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

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