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

Publication ID:

PB509247365

Publication Date:

September 5, 2024

Pages:

124

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

IT Services [2]

Computing & Electronics [3]

Description:

The global market for Event Stream Processing Tools was estimated to be worth US$ million in 2023 and is forecast to a readjusted size of US$ million by 2030 with a CAGR of % during the forecast period 2024-2030.
North American market for Event Stream Processing Tools was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Event Stream Processing Tools was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Europe market for Event Stream Processing Tools was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global key companies of Event Stream Processing Tools include Amazon, Confluent, Crosser, Hazelcast, IBM, Informatica, Instaclustr, Leo Platform and Oracle, etc. In 2023, the global five largest players hold a share approximately % in terms of revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Event Stream Processing Tools, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Event Stream Processing Tools by region & country, by Type, and by Application.
The Event Stream Processing Tools 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 Tools.
Market Segmentation
By Company
Amazon
Confluent
Crosser
Hazelcast
IBM
Informatica
Instaclustr
Leo Platform
Oracle
Radicalbit
SAS
Spring Cloud Data Flow
StreamSets
Striim
TIBCO
Segment by Type:
Cloud-Based
On-Premises
Segment by Application
Large Enterprises
SMEs
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 Event Stream Processing Tools 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 Tools 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 Tools 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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Table Of Contents:

1 Market Overview
1.1 Event Stream Processing Tools Product Introduction
1.2 Global Event Stream Processing Tools Market Size Forecast
1.3 Event Stream Processing Tools Market Trends & Drivers
1.3.1 Event Stream Processing Tools Industry Trends
1.3.2 Event Stream Processing Tools Market Drivers & Opportunity
1.3.3 Event Stream Processing Tools Market Challenges
1.3.4 Event Stream Processing Tools 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 Tools Players Revenue Ranking (2023)
2.2 Global Event Stream Processing Tools Revenue by Company (2019-2024)
2.3 Key Companies Event Stream Processing Tools Manufacturing Base Distribution and Headquarters
2.4 Key Companies Event Stream Processing Tools Product Offered
2.5 Key Companies Time to Begin Mass Production of Event Stream Processing Tools
2.6 Event Stream Processing Tools Market Competitive Analysis
2.6.1 Event Stream Processing Tools Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Event Stream Processing Tools 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 Tools 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 On-Premises
3.2 Global Event Stream Processing Tools Sales Value by Type
3.2.1 Global Event Stream Processing Tools Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Event Stream Processing Tools Sales Value, by Type (2019-2030)
3.2.3 Global Event Stream Processing Tools 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 Tools Sales Value by Application
4.2.1 Global Event Stream Processing Tools Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Event Stream Processing Tools Sales Value, by Application (2019-2030)
4.2.3 Global Event Stream Processing Tools Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Event Stream Processing Tools Sales Value by Region
5.1.1 Global Event Stream Processing Tools Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Event Stream Processing Tools Sales Value by Region (2019-2024)
5.1.3 Global Event Stream Processing Tools Sales Value by Region (2025-2030)
5.1.4 Global Event Stream Processing Tools Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Event Stream Processing Tools Sales Value, 2019-2030
5.2.2 North America Event Stream Processing Tools Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Event Stream Processing Tools Sales Value, 2019-2030
5.3.2 Europe Event Stream Processing Tools Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Event Stream Processing Tools Sales Value, 2019-2030
5.4.2 Asia Pacific Event Stream Processing Tools Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Event Stream Processing Tools Sales Value, 2019-2030
5.5.2 South America Event Stream Processing Tools Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Event Stream Processing Tools Sales Value, 2019-2030
5.6.2 Middle East & Africa Event Stream Processing Tools Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Event Stream Processing Tools Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Event Stream Processing Tools Sales Value
6.3 United States
6.3.1 United States Event Stream Processing Tools Sales Value, 2019-2030
6.3.2 United States Event Stream Processing Tools Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Event Stream Processing Tools Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Event Stream Processing Tools Sales Value, 2019-2030
6.4.2 Europe Event Stream Processing Tools Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Event Stream Processing Tools Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Event Stream Processing Tools Sales Value, 2019-2030
6.5.2 China Event Stream Processing Tools Sales Value by Type (%), 2023 VS 2030
6.5.3 China Event Stream Processing Tools Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Event Stream Processing Tools Sales Value, 2019-2030
6.6.2 Japan Event Stream Processing Tools Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Event Stream Processing Tools Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Event Stream Processing Tools Sales Value, 2019-2030
6.7.2 South Korea Event Stream Processing Tools Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Event Stream Processing Tools Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Event Stream Processing Tools Sales Value, 2019-2030
6.8.2 Southeast Asia Event Stream Processing Tools Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Event Stream Processing Tools Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Event Stream Processing Tools Sales Value, 2019-2030
6.9.2 India Event Stream Processing Tools Sales Value by Type (%), 2023 VS 2030
6.9.3 India Event Stream Processing Tools 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 Tools Products, Services and Solutions
7.1.4 Amazon Event Stream Processing Tools Revenue (US$ Million) & (2019-2024)
7.1.5 Amazon Recent Developments
7.2 Confluent
7.2.1 Confluent Profile
7.2.2 Confluent Main Business
7.2.3 Confluent Event Stream Processing Tools Products, Services and Solutions
7.2.4 Confluent Event Stream Processing Tools Revenue (US$ Million) & (2019-2024)
7.2.5 Confluent Recent Developments
7.3 Crosser
7.3.1 Crosser Profile
7.3.2 Crosser Main Business
7.3.3 Crosser Event Stream Processing Tools Products, Services and Solutions
7.3.4 Crosser Event Stream Processing Tools Revenue (US$ Million) & (2019-2024)
7.3.5 Hazelcast Recent Developments
7.4 Hazelcast
7.4.1 Hazelcast Profile
7.4.2 Hazelcast Main Business
7.4.3 Hazelcast Event Stream Processing Tools Products, Services and Solutions
7.4.4 Hazelcast Event Stream Processing Tools Revenue (US$ Million) & (2019-2024)
7.4.5 Hazelcast Recent Developments
7.5 IBM
7.5.1 IBM Profile
7.5.2 IBM Main Business
7.5.3 IBM Event Stream Processing Tools Products, Services and Solutions
7.5.4 IBM Event Stream Processing Tools Revenue (US$ Million) & (2019-2024)
7.5.5 IBM Recent Developments
7.6 Informatica
7.6.1 Informatica Profile
7.6.2 Informatica Main Business
7.6.3 Informatica Event Stream Processing Tools Products, Services and Solutions
7.6.4 Informatica Event Stream Processing Tools Revenue (US$ Million) & (2019-2024)
7.6.5 Informatica Recent Developments
7.7 Instaclustr
7.7.1 Instaclustr Profile
7.7.2 Instaclustr Main Business
7.7.3 Instaclustr Event Stream Processing Tools Products, Services and Solutions
7.7.4 Instaclustr Event Stream Processing Tools Revenue (US$ Million) & (2019-2024)
7.7.5 Instaclustr Recent Developments
7.8 Leo Platform
7.8.1 Leo Platform Profile
7.8.2 Leo Platform Main Business
7.8.3 Leo Platform Event Stream Processing Tools Products, Services and Solutions
7.8.4 Leo Platform Event Stream Processing Tools Revenue (US$ Million) & (2019-2024)
7.8.5 Leo Platform Recent Developments
7.9 Oracle
7.9.1 Oracle Profile
7.9.2 Oracle Main Business
7.9.3 Oracle Event Stream Processing Tools Products, Services and Solutions
7.9.4 Oracle Event Stream Processing Tools Revenue (US$ Million) & (2019-2024)
7.9.5 Oracle Recent Developments
7.10 Radicalbit
7.10.1 Radicalbit Profile
7.10.2 Radicalbit Main Business
7.10.3 Radicalbit Event Stream Processing Tools Products, Services and Solutions
7.10.4 Radicalbit Event Stream Processing Tools Revenue (US$ Million) & (2019-2024)
7.10.5 Radicalbit Recent Developments
7.11 SAS
7.11.1 SAS Profile
7.11.2 SAS Main Business
7.11.3 SAS Event Stream Processing Tools Products, Services and Solutions
7.11.4 SAS Event Stream Processing Tools Revenue (US$ Million) & (2019-2024)
7.11.5 SAS Recent Developments
7.12 Spring Cloud Data Flow
7.12.1 Spring Cloud Data Flow Profile
7.12.2 Spring Cloud Data Flow Main Business
7.12.3 Spring Cloud Data Flow Event Stream Processing Tools Products, Services and Solutions
7.12.4 Spring Cloud Data Flow Event Stream Processing Tools Revenue (US$ Million) & (2019-2024)
7.12.5 Spring Cloud Data Flow Recent Developments
7.13 StreamSets
7.13.1 StreamSets Profile
7.13.2 StreamSets Main Business
7.13.3 StreamSets Event Stream Processing Tools Products, Services and Solutions
7.13.4 StreamSets Event Stream Processing Tools Revenue (US$ Million) & (2019-2024)
7.13.5 StreamSets Recent Developments
7.14 Striim
7.14.1 Striim Profile
7.14.2 Striim Main Business
7.14.3 Striim Event Stream Processing Tools Products, Services and Solutions
7.14.4 Striim Event Stream Processing Tools Revenue (US$ Million) & (2019-2024)
7.14.5 Striim Recent Developments
7.15 TIBCO
7.15.1 TIBCO Profile
7.15.2 TIBCO Main Business
7.15.3 TIBCO Event Stream Processing Tools Products, Services and Solutions
7.15.4 TIBCO Event Stream Processing Tools Revenue (US$ Million) & (2019-2024)
7.15.5 TIBCO Recent Developments
8 Industry Chain Analysis
8.1 Event Stream Processing Tools Industrial Chain
8.2 Event Stream Processing Tools 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 Tools Sales Model
8.5.2 Sales Channel
8.5.3 Event Stream Processing Tools 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
Confluent
Crosser
Hazelcast
IBM
Informatica
Instaclustr
Leo Platform
Oracle
Radicalbit
SAS
Spring Cloud Data Flow
StreamSets
Striim
TIBCO

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