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市場調查報告書
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1916675

全球即時資料流和事件處理市場預測至2032年：按元件、資料來源類型、處理模式、部署模式、最終使用者和地區分類

Real-Time Data Streaming & Event Processing Market Forecasts to 2032 - Global Analysis By Component (Software and Services), Data Source Type, Processing Mode, Deployment Model, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的一項研究，全球即時數據流和事件處理市場預計到 2025 年將達到 17.3 億美元，到 2032 年將達到 61.1 億美元，在預測期內的複合年成長率為 19.7%。

即時資料流事件處理是指以極低的延遲，持續不斷地攝取、分析和處理產生的資料。它使組織能夠處理來自物聯網設備、應用程式、感測器、網路和用戶互動等來源的高速資料流。事件處理系統即時偵測、過濾、聚合和關聯事件，以識別模式、異常和觸發因素。這種方法支援即時決策、自動化和快速回應，從而推動詐欺偵測、網路監控、預測性維護、個人化建議和即時分析等應用場景，適用於需要及時、數據驅動洞察的各行各業。

對即時分析洞察的需求日益成長

為了提升營運敏捷性，企業需要即時數據處理能力。即時串流平台能夠實現跨產業的預測分析、詐欺偵測和客戶個人化。供應商正在將人工智慧驅動的引擎整合到其事件處理框架中，以增強響應速度。對可執行洞察日益成長的需求正在推動金融服務、零售和電信等行業的應用。將原始數據轉化為即時洞察的能力，使即時串流成為數位轉型的基礎。

高昂的基礎設施和實施成本

企業需要大量資金來升級舊有系統或採用分散式架構。中小企業往往由於預算限制和投資回報的不確定性而推遲採用。將串流媒體平台與多重雲端環境整合的複雜性也增加了成本。不斷上漲的能源和維護成本進一步加劇了服務提供者的財務困境。這些成本障礙減緩了採用速度，並使缺乏雄厚財力的企業難以實現規模化發展。

擴展自動駕駛車輛的數據處理能力

聯網汽車推動了對即時分析的需求，以支援導航、安全性和預測性維護。流式框架能夠持續監控感測器數據，並在車輛生態系統中實現動態決策。供應商正在將邊緣運算和人工智慧模組整合到汽車平台中，以增強可擴展性。政府和企業對智慧運輸基礎設施的投資也推動了這項需求。汽車產業正在成為即時事件處理的新前沿，為技術提供者開闢新的收入來源。

資料隱私和嚴格的法令遵循

企業必須滿足 GDPR 和 CCPA 等監管要求，同時保護敏感資料流免於外洩。與成熟的科技巨頭相比，小規模供應商難以實施健全的合規框架。頻繁的政策變化為長期投資計畫帶來不確定性。供應商必須調整其解決方案以適應不同的地區法規，從而減緩了可擴展性。日益成長的隱私擔憂削弱了信任，使得合規成為事件處理領域持續成長的一大挑戰。

新冠疫情的感染疾病：

新冠疫情加速了企業對即時串流媒體的需求，因為企業的數位化工作負載激增。供應鏈中斷導致基礎設施計劃延期，減緩了即時串流媒體的普及。同時，對具有彈性和自癒能力的系統的需求增加，推動了事件處理平台的採用。各組織更依賴即時分析來確保尖峰時段的業務連續性。供應商則在系統中內建了預測性監控和自動化功能，以增強系統的彈性。疫情凸顯了串流媒體技術在危機時期作為保障業務穩定的關鍵工具的重要性。

在預測期內，交易資料流細分市場將佔據最大的市場佔有率。

在預測期內，交易資料流細分市場預計將佔據最大的市場佔有率，這主要得益於對金融交易和客戶互動進行即時監控的需求。交易流能夠幫助銀行和零售業實現詐欺偵測、即時支付檢驗和動態個人化。企業正在將串流引擎整合到其交易工作流程中，以提高合規性和效率。對安全且可擴展的交易處理日益成長的需求正在推動該細分市場的應用。供應商正在投資開發先進的交易框架，以提高速度和可靠性。

預計製造業和工業自動化領域在預測期內將呈現最高的複合年成長率。

預計在預測期內，製造業和工業自動化領域將實現最高成長率，這主要得益於生產環境中對預測分析日益成長的需求。即時串流技術能夠持續監控機器、供應鏈和能源消耗。企業正在將物聯網感測器和事件處理框架整合到工業工作流程中，以提高效率。從中小企業到大型製造商，都能受益於根據自身營運需求量身訂製的、經濟高效的自動化解決方案。對工業4.0舉措的持續投資正在推動該領域的需求成長。製造業不僅在擴大其應用範圍，而且還在透過即時智慧重新定義工業競爭力。

佔比最大的地區：

由於成熟的數位基礎設施和企業對即時分析的廣泛應用，預計北美將在預測期內保持最大的市場佔有率。美國和加拿大公司正主導對串流媒體平台的投資，這些平台服務於金融服務、零售和電信業。主要雲端服務供應商和技術供應商的存在進一步鞏固了該地區的領先地位。對混合雲端和多重雲端管治日益成長的需求正在推動大型企業採用相關技術。供應商正在整合先進的編配和合規功能，以在競爭激烈的市場中脫穎而出。

預計年複合成長率最高的地區：

亞太地區預計將在預測期內實現最高的複合年成長率，這主要得益於快速的都市化、不斷成長的行動網路普及率以及政府主導的數位化舉措。中國、印度和東南亞等國家正大力投資串流平台，以支持電子商務、金融科技和智慧城市生態系統的發展。該地區的企業正在採用即時框架來增強可擴展性，並滿足消費者對即時服務的需求。本地Start-Ups正在部署針對人口密集的城市市場量身定做的、具有成本效益的解決方案。政府推行的數位轉型和互聯互通計畫正在加速這一進程。亞太地區的成長軌跡以其兼具成本效益、創新性和規模優勢而著稱，使其成為即時事件處理領域成長最快的中心。

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    • 根據主要參與者的產品系列、地理覆蓋範圍和策略聯盟進行基準分析

目錄

第1章執行摘要

第2章 前言

  • 概括
  • 相關利益者
  • 調查範圍
  • 調查方法
  • 研究材料

第3章 市場趨勢分析

  • 促進要素
  • 抑制因素
  • 機會
  • 威脅
  • 終端用戶分析
  • 新興市場
  • 新冠疫情的感染疾病

第4章 波特五力分析

  • 供應商的議價能力
  • 買方的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球即時資料流和事件處理市場（按組件分類）

  • 軟體
    • 串流處理引擎
    • 事件流平台
    • CEP平台
    • 資料整合、擷取與通訊工具
  • 服務
    • 諮詢和顧問服務
    • 整合和實施服務
    • 託管服務和平台營運服務

6. 全球即時資料流和事件處理市場（按資料來源類型分類）

  • 交易資料流
  • 物聯網和感測器數據
  • 應用程式/系統日誌
  • 點選流和用戶行為數據
  • 其他

7. 全球即時資料流與事件處理市場依處理模式分類

  • 事件驅動處理
  • 基於流的處理
  • 微批量處理

8. 全球即時資料流與事件處理市場依部署模式分類

  • 本地部署
  • 基於雲端的

9. 全球即時數據流和事件處理市場（按最終用戶分類）

  • 零售/電子商務
  • 資訊科技/通訊
  • 製造和工業自動化
  • 能源與公用事業
  • 政府/公共部門
  • 媒體與娛樂
  • 運輸/物流
  • 其他

10. 全球即時數據流和事件處理市場（按地區分類）

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 亞太其他地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美國家
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第11章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 併購
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第12章 企業概況

  • IBM Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • Amazon Web Services, Inc.
  • Google LLC
  • SAP SE
  • SAS Institute Inc.
  • Informatica Inc.
  • Teradata Corporation
  • Cloudera, Inc.
  • Snowflake Inc.
  • Databricks, Inc.
  • Confluent, Inc.
  • StreamSets, Inc.
  • TIBCO Software Inc.
Product Code: SMRC33248

According to Stratistics MRC, the Global Real-Time Data Streaming & Event Processing Market is accounted for $1.73 billion in 2025 and is expected to reach $6.11 billion by 2032 growing at a CAGR of 19.7% during the forecast period. Real-Time Data Streaming & Event Processing refers to the continuous ingestion, analysis, and action on data as it is generated, with minimal latency. It enables organizations to process high-velocity data streams from sources such as IoT devices, applications, sensors, networks, and user interactions. Event processing systems detect, filter, aggregate, and correlate events in real time to identify patterns, anomalies, or triggers. This approach supports immediate decision-making, automation, and responsiveness, powering use cases like fraud detection, network monitoring, predictive maintenance, personalized recommendations, and real-time analytics across industries requiring timely, data-driven insights.

Market Dynamics:

Driver:

Increasing demand for instant analytics insights

Organizations are under pressure to process data in real time to support operational agility. Real-time streaming platforms enable predictive analytics, fraud detection, and customer personalization across industries. Vendors are embedding AI-driven engines into event processing frameworks to strengthen responsiveness. Rising demand for actionable insights is reinforcing adoption in financial services, retail, and telecom. The ability to convert raw data into immediate intelligence is positioning real-time streaming as a cornerstone of digital transformation.

Restraint:

High infrastructure and implementation costs

Enterprises face heavy capital requirements for upgrading legacy systems and deploying distributed architectures. Smaller firms often delay adoption due to limited budgets and uncertain ROI. The complexity of integrating streaming platforms with multi-cloud environments adds further expense. Rising energy and maintenance costs amplify financial challenges for providers. These cost barriers are slowing penetration, making scalability difficult for organizations without strong financial backing.

Opportunity:

Expansion in autonomous vehicle data processing

Connected cars increasingly require instant analytics to support navigation, safety, and predictive maintenance. Streaming frameworks enable continuous monitoring of sensor data and dynamic decision-making in vehicle ecosystems. Vendors are embedding edge computing and AI modules into automotive platforms to strengthen scalability. Governments and enterprises are investing in smart mobility infrastructure which reinforces demand. The automotive sector is emerging as a frontier for real-time event processing, opening new revenue streams for technology providers.

Threat:

Data privacy and stringent compliance regulations

Enterprises must safeguard sensitive data flows against breaches while meeting mandates such as GDPR and CCPA. Smaller providers struggle to implement robust compliance frameworks compared to established technology giants. Frequent policy changes create uncertainty for long-term investment planning. Vendors must adapt solutions to diverse regional regulations which slows scalability. Rising privacy concerns are undermining trust, making compliance a critical challenge for sustained growth in event processing.

Covid-19 Impact:

The Covid-19 pandemic accelerated demand for real-time streaming as enterprises faced surging digital workloads. On one hand, supply chain disruptions delayed infrastructure projects and slowed deployments. On the other hand, rising demand for resilient and self-healing systems boosted adoption of event processing platforms. Organizations increasingly relied on real-time analytics to ensure continuity during peak usage. Vendors embedded predictive monitoring and automation features to strengthen resilience. The pandemic highlighted the importance of streaming technologies as essential tools for operational stability in crisis conditions.

The transactional data streams segment is expected to be the largest during the forecast period

The transactional data streams segment is expected to account for the largest market share during the forecast period, driven by demand for real-time monitoring of financial transactions and customer interactions. Transactional streams enable fraud detection, instant payment validation, and dynamic personalization in banking and retail. Enterprises are embedding streaming engines into transactional workflows to strengthen compliance and efficiency. Rising demand for secure and scalable transaction processing is reinforcing adoption in this segment. Vendors are investing in advanced transactional frameworks to improve speed and reliability.

The manufacturing & industrial automation segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the manufacturing & industrial automation segment is predicted to witness the highest growth rate, supported by rising demand for predictive analytics in production environments. Real-time streaming enables continuous monitoring of machinery, supply chains, and energy usage. Enterprises are embedding IoT sensors and event processing frameworks into industrial workflows to strengthen efficiency. SMEs and large manufacturers benefit from cost-effective automation solutions tailored to operational needs. Rising investment in Industry 4.0 initiatives is reinforcing demand in this segment. The manufacturing vertical is not only expanding adoption but redefining industrial competitiveness through real-time intelligence.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share by mature digital infrastructure and strong enterprise adoption of real-time analytics. Enterprises in the United States and Canada are leading investments in streaming platforms to support financial services, retail, and telecom. The presence of major cloud providers and technology vendors further strengthens regional dominance. Rising demand for hybrid and multi-cloud governance is reinforcing adoption across large enterprises. Vendors are embedding advanced orchestration and compliance features to differentiate offerings in competitive markets.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, fueled by rapid urbanization, expanding mobile penetration, and government-led digital initiatives. Countries such as China, India, and Southeast Asia are investing heavily in streaming platforms to support e-commerce, fintech, and smart city ecosystems. Enterprises in the region are adopting real-time frameworks to strengthen scalability and meet consumer demand for instant services. Local startups are deploying cost-effective solutions tailored to dense urban markets. Government programs promoting digital transformation and connectivity are accelerating adoption. Asia Pacific's trajectory is distinguished by its ability to combine affordability, innovation, and scale, positioning it as the fastest-growing hub for real-time event processing.

Key players in the market

Some of the key players in Real-Time Data Streaming & Event Processing Market include IBM Corporation, Microsoft Corporation, Oracle Corporation, Amazon Web Services, Inc., Google LLC, SAP SE, SAS Institute Inc., Informatica Inc., Teradata Corporation, Cloudera, Inc., Snowflake Inc., Databricks, Inc., Confluent, Inc., StreamSets, Inc. and TIBCO Software Inc.

Key Developments:

In February 2024, IBM and Salesforce announced an expanded partnership to integrate Watsonx.ai with Salesforce's Einstein 1 Platform. This collaboration is designed to enable secure, real-time AI-driven decision-making by allowing clients to activate trusted data from Salesforce Customer 360 within the Watsonx environment for advanced analytics and event-triggered actions.

In October 2023, Microsoft deepened its strategic partnership with Confluent, integrating Confluent Cloud natively within the Azure portal and enabling unified billing. This collaboration provides Azure customers with a fully managed Apache Kafka service for building real-time data pipelines and applications.

Components Covered:

  • Software
  • Services

Data Source Types Covered:

  • Transactional Data Streams
  • IoT & Sensor Data
  • Application & System Logs
  • Clickstream & User Behavior Data
  • Other Data Source Types

Processing Modes Covered:

  • Event-Driven Processing
  • Stream-Based Processing
  • Micro-Batch Processing

Deployment Models Covered:

  • On-Premise
  • Cloud-Based

End Users Covered:

  • Retail & E-Commerce
  • Information Technology & Telecommunications
  • Manufacturing & Industrial Automation
  • Energy & Utilities
  • Government & Public Sector
  • Media & Entertainment
  • Transportation & Logistics
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 End User Analysis
  • 3.7 Emerging Markets
  • 3.8 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Real-Time Data Streaming & Event Processing Market, By Component

  • 5.1 Introduction
  • 5.2 Software
    • 5.2.1 Stream Processing Engines
    • 5.2.2 Event Streaming Platforms
    • 5.2.3 Complex Event Processing (CEP) Platforms
    • 5.2.4 Data Integration, Ingestion & Messaging Tools
  • 5.3 Services
    • 5.3.1 Consulting & Advisory Services
    • 5.3.2 Integration & Implementation Services
    • 5.3.3 Managed & Platform Operations Services

6 Global Real-Time Data Streaming & Event Processing Market, By Data Source Type

  • 6.1 Introduction
  • 6.2 Transactional Data Streams
  • 6.3 IoT & Sensor Data
  • 6.4 Application & System Logs
  • 6.5 Clickstream & User Behavior Data
  • 6.6 Other Data Source Types

7 Global Real-Time Data Streaming & Event Processing Market, By Processing Mode

  • 7.1 Introduction
  • 7.2 Event-Driven Processing
  • 7.3 Stream-Based Processing
  • 7.4 Micro-Batch Processing

8 Global Real-Time Data Streaming & Event Processing Market, By Deployment Model

  • 8.1 Introduction
  • 8.2 On-Premise
  • 8.3 Cloud-Based

9 Global Real-Time Data Streaming & Event Processing Market, By End User

  • 9.1 Introduction
  • 9.2 Retail & E-Commerce
  • 9.3 Information Technology & Telecommunications
  • 9.4 Manufacturing & Industrial Automation
  • 9.5 Energy & Utilities
  • 9.6 Government & Public Sector
  • 9.7 Media & Entertainment
  • 9.8 Transportation & Logistics
  • 9.9 Other End Users

10 Global Real-Time Data Streaming & Event Processing Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 IBM Corporation
  • 12.2 Microsoft Corporation
  • 12.3 Oracle Corporation
  • 12.4 Amazon Web Services, Inc.
  • 12.5 Google LLC
  • 12.6 SAP SE
  • 12.7 SAS Institute Inc.
  • 12.8 Informatica Inc.
  • 12.9 Teradata Corporation
  • 12.10 Cloudera, Inc.
  • 12.11 Snowflake Inc.
  • 12.12 Databricks, Inc.
  • 12.13 Confluent, Inc.
  • 12.14 StreamSets, Inc.
  • 12.15 TIBCO Software Inc.

List of Tables

  • Table 1 Global Real-Time Data Streaming & Event Processing Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Real-Time Data Streaming & Event Processing Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global Real-Time Data Streaming & Event Processing Market Outlook, By Software (2024-2032) ($MN)
  • Table 4 Global Real-Time Data Streaming & Event Processing Market Outlook, By Stream Processing Engines (2024-2032) ($MN)
  • Table 5 Global Real-Time Data Streaming & Event Processing Market Outlook, By Event Streaming Platforms (2024-2032) ($MN)
  • Table 6 Global Real-Time Data Streaming & Event Processing Market Outlook, By Complex Event Processing (CEP) Platforms (2024-2032) ($MN)
  • Table 7 Global Real-Time Data Streaming & Event Processing Market Outlook, By Data Integration, Ingestion & Messaging Tools (2024-2032) ($MN)
  • Table 8 Global Real-Time Data Streaming & Event Processing Market Outlook, By Services (2024-2032) ($MN)
  • Table 9 Global Real-Time Data Streaming & Event Processing Market Outlook, By Consulting & Advisory Services (2024-2032) ($MN)
  • Table 10 Global Real-Time Data Streaming & Event Processing Market Outlook, By Integration & Implementation Services (2024-2032) ($MN)
  • Table 11 Global Real-Time Data Streaming & Event Processing Market Outlook, By Managed & Platform Operations Services (2024-2032) ($MN)
  • Table 12 Global Real-Time Data Streaming & Event Processing Market Outlook, By Data Source Type (2024-2032) ($MN)
  • Table 13 Global Real-Time Data Streaming & Event Processing Market Outlook, By Transactional Data Streams (2024-2032) ($MN)
  • Table 14 Global Real-Time Data Streaming & Event Processing Market Outlook, By IoT & Sensor Data (2024-2032) ($MN)
  • Table 15 Global Real-Time Data Streaming & Event Processing Market Outlook, By Application & System Logs (2024-2032) ($MN)
  • Table 16 Global Real-Time Data Streaming & Event Processing Market Outlook, By Clickstream & User Behavior Data (2024-2032) ($MN)
  • Table 17 Global Real-Time Data Streaming & Event Processing Market Outlook, By Other Data Source Types (2024-2032) ($MN)
  • Table 18 Global Real-Time Data Streaming & Event Processing Market Outlook, By Processing Mode (2024-2032) ($MN)
  • Table 19 Global Real-Time Data Streaming & Event Processing Market Outlook, By Event-Driven Processing (2024-2032) ($MN)
  • Table 20 Global Real-Time Data Streaming & Event Processing Market Outlook, By Stream-Based Processing (2024-2032) ($MN)
  • Table 21 Global Real-Time Data Streaming & Event Processing Market Outlook, By Micro-Batch Processing (2024-2032) ($MN)
  • Table 22 Global Real-Time Data Streaming & Event Processing Market Outlook, By Deployment Model (2024-2032) ($MN)
  • Table 23 Global Real-Time Data Streaming & Event Processing Market Outlook, By On-Premise (2024-2032) ($MN)
  • Table 24 Global Real-Time Data Streaming & Event Processing Market Outlook, By Cloud-Based (2024-2032) ($MN)
  • Table 25 Global Real-Time Data Streaming & Event Processing Market Outlook, By End User (2024-2032) ($MN)
  • Table 26 Global Real-Time Data Streaming & Event Processing Market Outlook, By Retail & E-Commerce (2024-2032) ($MN)
  • Table 27 Global Real-Time Data Streaming & Event Processing Market Outlook, By Information Technology & Telecommunications (2024-2032) ($MN)
  • Table 28 Global Real-Time Data Streaming & Event Processing Market Outlook, By Manufacturing & Industrial Automation (2024-2032) ($MN)
  • Table 29 Global Real-Time Data Streaming & Event Processing Market Outlook, By Energy & Utilities (2024-2032) ($MN)
  • Table 30 Global Real-Time Data Streaming & Event Processing Market Outlook, By Government & Public Sector (2024-2032) ($MN)
  • Table 31 Global Real-Time Data Streaming & Event Processing Market Outlook, By Media & Entertainment (2024-2032) ($MN)
  • Table 32 Global Real-Time Data Streaming & Event Processing Market Outlook, By Transportation & Logistics (2024-2032) ($MN)
  • Table 33 Global Real-Time Data Streaming & Event Processing Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.