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Global Event stream processing Market to reach USD xxx billion by the end of 2030.

Global Event stream processing Market Size study & Forecast, by Component (Solutions, Services), by Type (Data Integration, Analytics), by Deployment Mode (Cloud, On-premises) and by Application (Fraud Detection, Predictive Maintenance, Algorithmic Trading, Network Monitoring, Sales and Marketing Management, Others) and Regional Analysis, 2023-2030

Product Code: ICTICTS-38092004
Publish Date: 4-08-2023
Page: 200

Global Event stream processing Market is valued approximately at USD xxx billion in 2022 and is anticipated to grow with a healthy growth rate of more than xxx over the forecast period 2023-2030. Event stream processing is a technique that consists of mathematical algorithms that query a continuous data stream. Event stream processing encompasses a variety of features such as event visualization, event-driven middleware, event databases, and others. The data stream is analyzed in milliseconds to minutes. The increasing demand for machine-based communications is driving the global event stream processing market. Also, the adoption of event stream processing is driven by its ability to filter, mash up, compare, contrast, interpolate, and extrapolate stream data. The growth is further fueled by the implementation of wireless connectivity and communication technologies in electronic equipment, particularly in the manufacturing sector. Moreover, the need to analyze large volumes of data from various sources for real-time insights is also contributing to the market’s expansion

The growing adoption of IoT and smart devices is driving the demand for event stream processing solutions. These devices require real-time analytics for prompt actions and responses, and event stream processing enables the processing and analysis of data as it is generated. According to Statista, the global number of Internet of Things (IoT) devices is projected to nearly triple, reaching over 29 billion by 2030, compared to 9.7 billion in 2020. Additionally, growth in cloud adoption and government implementation of digital transformation is expected to create significant growth opportunities for the global event stream processing market. However, concerns associated with data security and privacy stifles the market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Event stream processing Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 owing to increasing data volumes, growing demand for real-time analytics, emergence of iot technologies, and advancements in technology. Asia Pacific is expected to fastest growing significantly during the forecast period, owing to the increasing adoption of real-time data analytics, rapid growth of big data and IOT, increasing demand for fraud detection and cybersecurity, and growing industry-specific applications.

Major market player included in this report are:
Microsoft Corporation
SAP SE
IBM Corporation
Oracle Corporation
Google LLC
Salesforce, Inc.
Impetus Technologies India Pvt Ltd.
EsperTech
Amazon Web Services, Inc.
Informatica LLC
Recent Developments in the Market:
Ø In October 2022, Microsoft has made the Azure Stream Analytics no-code editor generally available. This drag-and-drop canvas enables users to design stream processing jobs for various scenarios, including streaming ETL, ingestion, and data materialization. The editor is hosted by Azure Event Hubs, Microsoft’s platform for big-data streaming and event ingestion. Azure Stream Analytics is a managed service for real-time analytics, and the no-code editor allows users to create Stream Analytics jobs without the need for coding.
Ø In August 2022, Real-time data company DataStax and streaming processing platform company Decodable have joined forces to aid developers in building modern real-time applications and providing data services quickly and cost-effectively. Through this collaboration, the companies integrate their cloud services and leverage three key open-source technologies: Apache Cassandra, Apache Pulsar, and Apache Flink.
Global Event stream processing Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Component, Type, Deployment Mode, Application, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Component:
Solutions
Services
By Type:
Data Integration
Analytics
By Deployment Mode:
Cloud
On-premises
By Application:
Fraud Detection
Predictive Maintenance
Algorithmic Trading
Network Monitoring
Sales and Marketing Management
Others
By Region:

North America
U.S.
Canada

Europe
UK
Germany
France
Spain
Italy
ROE

Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC

Latin America
Brazil
Mexico

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
1.2.1. Event stream processing Market, by region, 2020-2030 (USD Billion)
1.2.2. Event stream processing Market, by Component, 2020-2030 (USD Billion)
1.2.3. Event stream processing Market, by Type, 2020-2030 (USD Billion)
1.2.4. Event stream processing Market, by Deployment Mode, 2020-2030 (USD Billion)
1.2.5. Event stream processing Market, by Application, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Event stream processing Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Event stream processing Market Dynamics
3.1. Event stream processing Market Impact Analysis (2020-2030)
3.1.1. Market Drivers
3.1.1.1. Increasing demand for machine-based communications
3.1.1.2. Growing adoption of IoT and smart devices
3.1.2. Market Challenges
3.1.2.1. High Cost of Event stream processing
3.1.2.2. Concerns associated with data security and privacy
3.1.3. Market Opportunities
3.1.3.1. Advancements in cloud adoption
3.1.3.2. Government implementation of digital transformation
Chapter 4. Global Event stream processing Market: Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economic
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Event stream processing Market, by Component
5.1. Market Snapshot
5.2. Global Event stream processing Market by Component, Performance – Potential Analysis
5.3. Global Event stream processing Market Estimates & Forecasts by Component 2020-2030 (USD Billion)
5.4. Event stream processing Market, Sub Segment Analysis
5.4.1. Solutions
5.4.2. Services
Chapter 6. Global Event stream processing Market, by Type
6.1. Market Snapshot
6.2. Global Event stream processing Market by Type, Performance – Potential Analysis
6.3. Global Event stream processing Market Estimates & Forecasts by Type 2020-2030 (USD Billion)
6.4. Event stream processing Market, Sub Segment Analysis
6.4.1. Data Integration
6.4.2. Analytics
Chapter 7. Global Event stream processing Market, by Deployment Mode
7.1. Market Snapshot
7.2. Global Event stream processing Market by Deployment Mode, Performance – Potential Analysis
7.3. Global Event stream processing Market Estimates & Forecasts by Deployment Mode 2020-2030 (USD Billion)
7.4. Event stream processing Market, Sub Segment Analysis
7.4.1. Cloud
7.4.2. On-premises
Chapter 8. Global Event stream processing Market, by Application
8.1. Market Snapshot
8.2. Global Event stream processing Market by Application, Performance – Potential Analysis
8.3. Global Event stream processing Market Estimates & Forecasts by Application 2020-2030 (USD Billion)
8.4. Event stream processing Market, Sub Segment Analysis
8.4.1. Fraud Detection
8.4.2. Predictive Maintenance
8.4.3. Algorithmic Trading
8.4.4. Network Monitoring
8.4.5. Sales and Marketing Management
8.4.6. Others
Chapter 9. Global Event stream processing Market, Regional Analysis
9.1. Top Leading Countries
9.2. Top Emerging Countries
9.3. Event stream processing Market, Regional Market Snapshot
9.4. North America Event stream processing Market
9.4.1. U.S. Event stream processing Market
9.4.1.1. Component breakdown estimates & forecasts, 2020-2030
9.4.1.2. Type breakdown estimates & forecasts, 2020-2030
9.4.1.3. Deployment Mode breakdown estimates & forecasts, 2020-2030
9.4.1.4. Application breakdown estimates & forecasts, 2020-2030
9.4.2. Canada Event stream processing Market
9.5. Europe Event stream processing Market Snapshot
9.5.1. U.K. Event stream processing Market
9.5.2. Germany Event stream processing Market
9.5.3. France Event stream processing Market
9.5.4. Spain Event stream processing Market
9.5.5. Italy Event stream processing Market
9.5.6. Rest of Europe Event stream processing Market
9.6. Asia-Pacific Event stream processing Market Snapshot
9.6.1. China Event stream processing Market
9.6.2. India Event stream processing Market
9.6.3. Japan Event stream processing Market
9.6.4. Australia Event stream processing Market
9.6.5. South Korea Event stream processing Market
9.6.6. Rest of Asia Pacific Event stream processing Market
9.7. Latin America Event stream processing Market Snapshot
9.7.1. Brazil Event stream processing Market
9.7.2. Mexico Event stream processing Market
9.8. Middle East & Africa Event stream processing Market
9.8.1. Saudi Arabia Event stream processing Market
9.8.2. South Africa Event stream processing Market
9.8.3. Rest of Middle East & Africa Event stream processing Market

Chapter 10. Competitive Intelligence
10.1. Key Company SWOT Analysis
10.1.1. Company 1
10.1.2. Company 2
10.1.3. Company 3
10.2. Top Market Strategies
10.3. Company Profiles
10.3.1. Microsoft Corporation
10.3.1.1. Key Information
10.3.1.2. Overview
10.3.1.3. Financial (Subject to Data Availability)
10.3.1.4. Product Summary
10.3.1.5. Recent Developments
10.3.2. SAP SE
10.3.3. IBM Corporation
10.3.4. Oracle Corporation
10.3.5. Google LLC
10.3.6. Salesforce, Inc.
10.3.7. Impetus Technologies India Pvt Ltd.
10.3.8. EsperTech
10.3.9. Amazon Web Services, Inc.
10.3.10. Informatica LLC
Chapter 11. Research Process
11.1. Research Process
11.1.1. Data Mining
11.1.2. Analysis
11.1.3. Market Estimation
11.1.4. Validation
11.1.5. Publishing
11.2. Research Attributes
11.3. Research Assumption

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Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
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