이벤트 스트림 처리 시장 규모, 점유율, 성장 분석 : 유형별, 구성요소별, 전개 방식별, 용도별, 산업별, 지역별 - 산업 예측(2024-2031년)
Event Stream Processing Market Size, Share, Growth Analysis, By Type (Data Integration, Analytics), By Components (Solutions, Services), By Deployment Mode, By Application, By Vertical, By Region - Industry Forecast 2024-2031
상품코드:1622401
리서치사:SkyQuest
발행일:2024년 12월
페이지 정보:영문 197 Pages
라이선스 & 가격 (부가세 별도)
한글목차
이벤트 스트림 처리 2023년 시장 규모는 1,725억 5,000만 달러로 2024년 2,112억 2,000만 달러에서 2032년 1조 648억 달러로 예측 기간(2025-2032년) 동안 22.41%의 CAGR로 성장할 것으로 예상됩니다.
빅데이터의 이점을 인식하는 기업이 증가함에 따라 실시간 분석에 대한 수요가 가속화되고 있으며, 이는 업계의 큰 성장을 견인하고 있습니다. 클라우드 기반 이벤트 스트림 처리 솔루션의 채택은 시장 확대를 더욱 촉진할 것으로 예상됩니다. 마하아이의 보고서에 따르면, 개인이 매일 생성하는 데이터는 2.5조 바이트에 달하며, 이 수치는 앞으로 급격히 증가하여 비즈니스 인텔리전스 사용자들이 실질적인 인사이트를 얻는 데 어려움을 겪을 것으로 예상됩니다. 이러한 추세는 정교하고 사용하기 쉬운 데이터 변환 도구의 필요성을 강조하고 있습니다. 소매업체는 타겟팅된 제안과 예측 분석을 활용하여 고도로 개인화된 경험을 구축하고, 반복 구매 동기를 부여하는 맞춤형 할인을 통해 매출을 향상시킬 수 있습니다. 또한, 예측 분석은 고객 평생 가치(CLV) 평가에 도움이 되어 수익성 높은 고객을 더 잘 식별할 수 있도록 돕습니다. 이벤트 스트림 처리의 부상은 RFID 애플리케이션에서도 두드러지게 나타나고 있으며, 실시간 데이터 처리에 대한 수요를 충족시키고 있습니다.
목차
소개
조사 목적
조사 범위
정의
조사 방법
정보 조달
2차 데이터와 1차 데이터 방법
시장 규모 예측
시장 가정과 제한
주요 요약
세계 시장 전망
공급과 수요 동향 분석
부문별 기회 분석
시장 역학과 전망
시장 개요
시장 규모
시장 역학
성장 촉진요인과 기회
성장 억제요인과 과제
Porters 분석
주요 시장 인사이트
핵심성공요인
경쟁 정도
주요 투자 기회
시장 생태계
시장 매력 지수(2024년)
PESTEL 분석
거시경제 지표
밸류체인 분석
가격 분석
기술의 진보
사례 연구
이벤트 스트림 처리 시장 규모 : 유형별
시장 개요
데이터 통합
분석
이벤트 스트림 처리 시장 규모 : 구성요소별
시장 개요
솔루션
소프트웨어 툴
플랫폼
서비스
전문 서비스
매니지드 서비스
이벤트 스트림 처리 시장 규모 : 전개 방식별
시장 개요
클라우드
온프레미스
이벤트 스트림 처리 시장 규모 : 용도별
시장 개요
부정행위 검출
예지보전
알고리즘 거래
네트워크 모니터링
세일즈 및 마케팅 관리
기타
로케이션 인텔리전스
오퍼레이션 관리
스마트 그리드 안정화
이벤트 스트림 처리 시장 규모 : 업계별
시장 개요
BFSI
IT 및 통신
소매업과 E-Commerce
정보라고 감시
헬스케어
제조업
에너지와 유틸리티
운송과 물류
기타
이벤트 스트림 처리 시장 규모
북미
미국
캐나다
유럽
독일
스페인
프랑스
영국
이탈리아
기타 유럽
아시아태평양
중국
인도
일본
한국
기타 아시아태평양
라틴아메리카
브라질
기타 라틴아메리카
중동 및 아프리카
GCC 국가
남아프리카공화국
기타 중동 및 아프리카
경쟁 정보
상위 5개사의 비교
주요 기업의 시장 포지셔닝(2024년)
주요 시장 기업이 채용한 전략
시장의 최근 동향
기업의 시장 점유율 분석(2024년)
주요 기업 개요
기업 개요
제품 포트폴리오 분석
부문별 점유율 분석
매출 전년비 비교(2022-2024)
주요 기업 개요
IBM Corporation(United States)
Microsoft Corporation(United States)
Google LLC(United States)
Oracle Corporation(United States)
Amazon Web Services, Inc.(AWS)(United States)
SAP SE(Germany)
Software AG(Germany)
Salesforce, Inc.(United States)
Red Hat, Inc.(United States)
FICO(Fair Isaac Corporation)(United States)
Informatica Inc.(United States)
Hitachi Vantara LLC(United States)
Confluent, Inc.(United States)
Splunk Inc.(United States)
TIBCO Software Inc.(United States)
SAS Institute Inc.(United States)
Databricks, Inc.(United States)
Striim, Inc.(United States)
Equalum Ltd.(Israel)
Radicalbit S.R.L(Italy)
결론과 추천사항
ksm
영문 목차
영문목차
Event Stream Processing Market size was valued at USD 172.55 Billion in 2023 and is poised to grow from USD 211.22 Billion in 2024 to USD 1064.8 Billion by 2032, growing at a CAGR of 22.41% during the forecast period (2025-2032).
The demand for real-time analytics is accelerating as organizations increasingly recognize the benefits of big data, driving significant industry growth. The adoption of cloud-based event stream processing solutions is expected to further propel market expansion. Mach Eye reports that individuals generate 2.5 quintillion bytes of data daily, a figure set to rise dramatically, creating challenges for business intelligence users in deriving actionable insights. This trend underscores the necessity for sophisticated, user-friendly data translation tools. Retailers can leverage targeted offers and predictive analytics to craft highly personalized experiences, boosting sales through tailored discounts that incentivize repeat purchases. Additionally, predictive analytics helps assess customer lifetime value (CLV), enhancing the identification of profitable customers. The rise of event stream processing is also notable in RFID applications, meeting the demand for real-time data processing.
Top-down and bottom-up approaches were used to estimate and validate the size of the Event Stream Processing market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Event Stream Processing Market Segmental Analysis
Global Event Stream Processing Market is segmented by type, components, deployment mode, application, vertical and region. Based on type, the market is segmented into data integration and analytics. Based on components, the market is segmented into solutions and services. Based on deployment mode, the market is segmented into cloud and on-premises. Based on application, the market is segmented into fraud detection, predictive maintenance, algorithmic trading, network monitoring, sales and marketing management and others. Based on vertical, the market is segmented into BFSI, IT and telecommunications, retail and ecommerce, intelligence and surveillance, healthcare, manufacturing, energy and utilities, transportation and logistics and others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Event Stream Processing Market
A significant driving force behind the Event Stream Processing market is the rapid increase in data volume from diverse sources, including IoT devices, social media platforms, sensors, and transactional systems. This surge in data production renders traditional batch processing and offline analytics inadequate to manage the enormous amounts of information generated. Event stream processing addresses this challenge by allowing organizations to analyze and process data in real time as it is created. This capability not only facilitates the extraction of valuable insights but also enables prompt decision-making and action, ultimately enhancing operational efficiency and responsiveness in today's fast-paced digital landscape.
Restraints in the Event Stream Processing Market
The Event Stream Processing market faces certain restraints, particularly regarding the increasing adoption of cloud-based platforms. Organizations are increasingly turning towards cloud solutions for their event stream processing needs due to the enhanced scalability, flexibility, and cost-effectiveness that cloud infrastructure provides. Major cloud service providers like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) offer managed services specifically designed for event stream processing, which simplifies the deployment and scaling of event-driven applications. This trend may create challenges for traditional on-premises systems, as organizations shift their focus to leveraging the benefits that cloud solutions present.
Market Trends of the Event Stream Processing Market
The Event Stream Processing (ESP) market is witnessing a robust shift towards hybrid deployment models, merging cloud and on-premises architectures. This trend is driven by organizations seeking flexibility and control over their data management strategies, allowing them to maintain data sovereignty while efficiently processing sensitive or regulated information in-house. By leveraging the scalability of cloud solutions for less-sensitive data streams, businesses can optimize their resources and enhance their analytical capabilities. As organizations increasingly prioritize hybrid models to balance compliance with operational efficiency, the ESP market is poised for significant growth, catering to diverse enterprise needs across various sectors.
Table of Contents
Introduction
Objectives of the Study
Scope of the Report
Definitions
Research Methodology
Information Procurement
Secondary & Primary Data Methods
Market Size Estimation
Market Assumptions & Limitations
Executive Summary
Global Market Outlook
Supply & Demand Trend Analysis
Segmental Opportunity Analysis
Market Dynamics & Outlook
Market Overview
Market Size
Market Dynamics
Drivers & Opportunities
Restraints & Challenges
Porters Analysis
Competitive rivalry
Threat of substitute
Bargaining power of buyers
Threat of new entrants
Bargaining power of suppliers
Key Market Insights
Key Success Factors
Degree of Competition
Top Investment Pockets
Market Ecosystem
Market Attractiveness Index, 2024
PESTEL Analysis
Macro-Economic Indicators
Value Chain Analysis
Pricing Analysis
Technological Advancement
Case Studies
Global Event Stream Processing Market Size by Type & CAGR (2025-2032)
Market Overview
Data Integration
Analytics
Global Event Stream Processing Market Size by Components & CAGR (2025-2032)
Market Overview
Solutions
Software Tools
Platforms
Services
Professional Services
Managed Services
Global Event Stream Processing Market Size by Deployment Mode & CAGR (2025-2032)
Market Overview
Cloud
On-Premises
Global Event Stream Processing Market Size by Application & CAGR (2025-2032)
Market Overview
Fraud Detection
Predictive Maintenance
Algorithmic Trading
Network Monitoring
Sales And Marketing Management
Others
Location Intelligence
Operations Management
Smart Grid Stabilization
Global Event Stream Processing Market Size by Vertical & CAGR (2025-2032)
Market Overview
BFSI
IT And Telecommunications
Retail And Ecommerce
Intelligence And Surveillance
Healthcare
Manufacturing
Energy And Utilities
Transportation And Logistics
Others
Global Event Stream Processing Market Size & CAGR (2025-2032)
North America (Type, Components, Deployment Mode, Application, Vertical)
US
Canada
Europe (Type, Components, Deployment Mode, Application, Vertical)
Germany
Spain
France
UK
Italy
Rest of Europe
Asia Pacific (Type, Components, Deployment Mode, Application, Vertical)
China
India
Japan
South Korea
Rest of Asia-Pacific
Latin America (Type, Components, Deployment Mode, Application, Vertical)
Brazil
Rest of Latin America
Middle East & Africa (Type, Components, Deployment Mode, Application, Vertical)
