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事件流處理 -市場佔有率分析、產業趨勢/統計、成長預測 (2025-2030)

Event Stream Processing - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)
出版日期: | 出版商: Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3個工作天內

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簡介目錄

預計事件流處理市場在預測期內將以 15.7% 的複合年成長率成長

事件流處理-市場-IMG1

主要亮點

  • 根據 MachEye 的數據，人們每天產生 2.5 億位元組的資料，並且預計每年都會快速成長。商業智慧用戶努力將數量激增的複雜資料轉化為可操作的見解。因此，我們相信對更先進、更易於使用的資料轉換工具的需求將會很大。
  • 有針對性的優惠和預測分析使零售商能夠為每位客戶開發高度精細和個人化的優惠。例如，零售商可以透過提供獎勵頻繁購買和推動更多購買的優惠來個性化店內體驗並提高所有通路的銷售額。預測分析可用於向客戶進行提升銷售和交叉銷售。此外，預測分析還可以幫助企業預測客戶終身價值 (CLV)。 CLV 透過分析過去的行為並識別一段時間內最盈利的客戶，幫助預測長期客戶的折扣價值。
  • 此外，即時處理大量 RFID資料的需求迅速增加了無線射頻辨識 (RFID) 事件處理應用中事件流處理的使用。 RFID 標籤與物品或人相連，並產生可由RFID讀取器讀取的訊號。這使得公司能夠即時了解貨物和人員的位置，這在管理供應鏈和確保人員安全等多個領域中發揮著重要作用。
  • 根據 Sisense 研究，50% 的企業至少與 COVID-19 大流行之前一樣多地使用預測分析，其中包括超過 68% 的中小企業。例如，COVID-19 大流行期間的一個關鍵挑戰是確保顧客在訪問實體店時的安全。借助商業智慧工具、社交網路平台和客戶關係管理（CRM）系統，企業可以從客戶那裡獲得直接回饋，並採取適當的措施來確保每個人的健康和安全。
  • 對資料分析和資料視覺化工具的需求顯著增加。例如，根據 IBM Quant Crunch 的數據，多達 272 萬個工作需要資料科學技能，使其成為各行業最搶手的職位之一。 MIS 或 CS 系畢業的大學生對資料庫建模或實際資料庫環境知之甚少。沒有特定的 IT 科學專業開設資料庫課程，更不用說商業智慧或分析課程了。他們缺乏接觸職場使用的工具和技術的機會。

事件流處理市場趨勢

物聯網 (IoT) 和智慧型裝置的採用率不斷提高

  • 根據 Oracle 最近的一項調查，企業物聯網採用者願意採取更簡單的路線。在接受調查的 800 名物聯網決策者中，近三分之二 (64%) 表示，他們會選擇「現成的」物聯網解決方案，而不是自訂的物聯網解決方案，這表明企業購買產品的方式是改變。此外，75% 的受訪者希望他們的解決方案提供者包含或打包連接功能，70% 的受訪者希望他們的提供者將資料和分析作為完整解決方案的一部分提供功能。這些結果表明，人們越來越需要透過簡單的方法來添加物聯網功能並加快實現價值的時間。
  • 此外，思科的年度網路報告預測，到今年，連網裝置和連線的數量將接近 300 億，高於 2018 年的 184 億。年終，物聯網設備將佔所有連網設備的 50%（147 億），高於 2018 年的 33%（61 億）。
  • 根據微軟的 IoT Signals 報告，美國以 27% 的計劃投入使用率領先，其次是西班牙 (22%) 和澳洲 (18%)。在加速物聯網採用方面，美國遠遠領先其他國家，78% 的美國公司表示，他們打算在未來兩年內擴大物聯網的使用。然而，今年，51%的德國企業和51%的日本企業計劃擴大其使用範圍。這可能是由於德國和日本市場的技術實施更為保守。
  • 根據蓋洛普年度健康與醫療調查，90% 的美國消費者表示他們目前使用穿戴健身追蹤器，而同樣比例的消費者目前使用行動醫療應用程式。結合目前的使用情況和過去使用過此類設備的美國人的比例，三分之一的美國人曾在某個時候購買過腕帶或智慧型手錶等健身。 34% )或。
  • 數位援助與人工智慧相結合，使用戶能夠免持且更有效率地部署智慧型設備，從而極大影響買家的偏好。隨著 Alexa、Google Assistant、Siri 和 Bixby 等數位助理的興起，現在可以透過語音命令來控制和管理智慧型裝置。這些數位助理的開發功能，例如藍牙揚聲器控制和免持頻道衝浪，正在推動智慧家居設備市場的發展。買家還選擇客製化設備，以方便並改善用戶體驗。

預計北美將佔據很大的市場佔有率

  • 預計在預測期內，北美將保持最大的市場規模並主導 ESP 市場。該地區 ESP 供應商的大量存在是由於新技術的早期採用和高採用率，以及為改進基於事件的產品而進行的研發投資。
  • 對事件流處理不斷成長的需求正在推動該地區的公司提供新的解決方案來贏得市場佔有率。例如，IBM Event Streams 是提供整合功能的 IBM Cloud Pak。透過事件流提供對企業資料的訪問​​，使您能夠從基於事件的資料中獲取見解，並即時大規模檢測並採取行動。 IBM 稱其控制事件端點的能力以及 API 管理是其優勢所在。
  • 總部位於美國的資料分析公司 Express Analytics 去年 2 月進入印度市場，作為其全球擴大策略的一部分，公共人工智慧 (AI)和機械學，宣布將提供基於學習 (ML) 的預測分析服務。此外，該公司還與總部位於德里的 Mavcomm Advisory 簽署了一項戰略協議，以擴大其在快速變化的印度數位市場的產品組合。
  • 美國雲端領域正在進行一些夥伴關係活動。例如，科技驅動型全球公司 HCL Technologies 宣布擴大與 Google Cloud 的夥伴關係，將 HCL 的 Actian 產品組合 Actian Avalanche 引進 Google Cloud。這種混合雲端資料倉儲提案改善企業業務分析工作負載。 Avalanche 也在 Google Cloud 上提供商業智慧和分析平台，幫助流行的 SaaS 和企業應用程式提供易於部署和使用的全面解決方案。
  • 隨著越來越多的客戶轉向數位管道以及實體分店網路成本的增加，純數位銀行營業單位正在激增。雖然很少金融機構推出純數位銀行來吸收存款，但其他金融機構正在利用數位平台提供貸款、投資和專業服務。在每種情況下，重點都是產生新想法、改善客戶體驗以及為客戶提供更多價值。這只能透過客戶資料和事件流處理來實現。

事件流程處理產業概述

由於存在多個參與企業，全球事件流處理市場競爭適度。市場參與企業正在採取產品創新、併購和收購等策略來擴大產品系列、擴大其地理範圍，並主要保持市場競爭力。

2022年10月，開發資料流處理平台的RisingWave Labs宣布獲得3,600萬美元A輪資金籌措，由雲啟合夥人、未具名企業合作夥伴及天使投資人領投。 RisingWave 的總投資超過 4,000 萬美元，將用於擴大Start-Ups的營運規模，為未來幾年推出新的雲端服務 RisingWave Cloud 做準備。

2022 年 3 月，thatDot 創建的 Quine 將成為一款專為大容量事件處理而設計的開放原始碼流程圖解決方案。據 thatDot 稱，Quine 混合了圖形資料和流技術，讓您可以即時大規模地建立複雜的事件處理流程。開發用於串流處理的事件驅動的微服務是一項具有挑戰性的工作，它結合了來自資料庫和分散式系統領域的複雜挑戰。共識、並發、事務邏輯、叢集行為、容錯、可擴展性、平衡讀寫效能權衡以及其他功能都包括在內。

其他好處

  • Excel 格式的市場預測 (ME) 表
  • 3 個月分析師支持

目錄

第1章簡介

  • 研究假設和市場定義
  • 調查範圍

第2章調查方法

第3章執行摘要

第4章市場動態

  • 市場概況
  • 市場促進因素
    • 物聯網 (IoT) 和智慧型裝置的採用率不斷提高
    • 越來越需要分析來自不同來源的大量資料
  • 市場限制因素
    • 資料安全和隱私問題
  • 波特五力分析
    • 供應商的議價能力
    • 買方議價能力
    • 新進入者的威脅
    • 替代品的威脅
    • 競爭公司之間敵對關係的強度

第5章市場區隔

  • 安裝類型
    • 雲
    • 本地
  • 成分
    • 解決方案（軟體和平台）
    • 服務
  • 應用
    • 詐欺偵測
    • 演算法交易
    • 流程監控
    • 預測性維護
    • 銷售與行銷
  • 按最終用戶產業
    • 資訊科技/通訊
    • BFSI
    • 製造業
    • 零售/電子商務
    • 能源與公共產業
    • 其他最終用戶產業
  • 地區
    • 北美洲
    • 歐洲
    • 亞太地區
    • 拉丁美洲
    • 中東/非洲

第6章 競爭狀況

  • 公司簡介
    • IBM Corporation
    • Microsoft Corporation
    • Google Inc.
    • Oracle Corporation
    • Amazon Web Services Inc.
    • Salesforce
    • Redhat
    • SAP SE
    • TIBCO
    • Hazelcast IMDG
    • SAS
    • Confluent, Inc.
    • Hitachi Vantara
    • Informatica

第7章 投資分析

第8章 市場機會及未來趨勢

簡介目錄
Product Code: 71445

The Event Stream Processing Market is expected to register a CAGR of 15.7% during the forecast period.

Event Stream Processing - Market - IMG1

Key Highlights

  • According to MachEye, people produce 2.5 quintillion bytes of data daily, which is expected to grow faster each year. Business intelligence users are already struggling to translate this explosion of complex data into actionable insights. As a result, there would be a significant demand for more advanced, easy-to-use data translation tools.
  • Targeted offers and predictive analytics enable merchants to develop highly personalized offers for all their customers at a very granular level. For instance, retailers can personalize the in-store experience by providing offers to incentivize frequent buying and drive more purchases, thereby achieving higher sales across all their channels. Predictive analytics can be used to upsell or cross-sell a customer. Further, predictive analytics helps businesses predict a customer's lifetime value (CLV). CLV helps forecast a customer's discounted value over time by analyzing past behavior to determine the most profitable customers over time.
  • Further, due to the necessity for real-time processing of vast volumes of RFID data, the use of event stream processing in radio-frequency identification (RFID) event processing applications is quickly rising. RFID tags are connected to items or people and generate a signal that an RFID reader can read. This lets businesses keep track of where goods and people are in real time, which is important for many things like managing the supply chain and keeping people safe.
  • According to a survey from Sisense, 50% of companies are utilizing predictive analytics more or much more than before the COVID-19 pandemic, including over 68% of small businesses. For instance, a significant challenge of the COVID-19 pandemic was ensuring that clients felt safe when visiting brick-and-mortar stores. With the help of business intelligence tools, social networking platforms, and customer relationship management (CRM) systems, companies could get direct feedback from customers and take the right steps to ensure everyone's health and safety.
  • There is a significant increase in the requirement for data analytics and data visualization tools. For example, according to the IBM Quant Crunch, up to 2.72 million jobs require data science skills, making it one of the most in-demand roles across industries. College graduates from the MIS and CS departments know little about database modeling or real-world database environments. There are specific IT sciences majors with database classes, let alone business intelligence and analytics courses. There is a lack of exposure to tools and technologies found in the workplace.

Event Stream Processing Market Trends

Increasing Adoption of the Internet of Things (IoT) and Smart Devices

  • According to a recent Oracle survey, enterprise IoT adopters are prepared to take an easier route. Nearly two-thirds (64%) of the 800 IoT decision-makers surveyed said they would choose an "off-the-shelf" IoT solution over a custom-built one, showing a shift in how businesses purchase IoT products. Additionally, 75% of respondents want the connection baked into or packaged by the solution provider, and 70% want providers to provide data and analytics capabilities as part of a complete solution. The results show that there is a growing need for a simple way to add IoT capabilities that speeds up the time it takes to get value from them.
  • Moreover, by this year, there will be close to 30 billion network-connected devices and connections, up from 18.4 billion in 2018, predicts Cisco's Annual Internet Report. By the end of the current year, IoT devices will make up 50% (14.7 billion) of all networked devices, up from 33% (6.1 billion) in 2018.
  • According to the Microsoft IoT Signals report, the United States leads the pack with 27% of projects in the usage phase, followed by Spain (22%), and Australia (18%). In terms of accelerating IoT adoption, the US is far ahead of the rest of the world: 78% of US firms intend to increase their IoT usage over the next two years. However, only 53% of By this year, 51% of German businesses and 51% of Japanese businesses planned to increase utilization. This can be due to the more conservative technological adoption in the German and Japanese markets.
  • According to Gallup's annual Health and Healthcare survey, 90% of American consumers said they are currently using a wearable fitness tracker, and the same percentage stated that they currently use a mobile health application. By combining the present use with the percentages of Americans that claim, in the past, they have used such devices, it becomes clear that, at some point, one in three Americans used a fitness tracker such as a wristband or smartwatch (34%), or tracked their health statistics on a phone or tablet application (32%).
  • Digital assistance combined with AI allows users to deploy smart devices hands-free and more efficiently, dramatically influencing buyer preferences. With the rise of digital assistants such as Alexa, Google Assistant, Siri, and Bixby, smart devices can now be controlled and managed via voice commands. The developing features of these digital assistants, such as Bluetooth speaker control and hands-free channel surfing, are driving the market for smart home gadgets. Buyers also choose customized devices for their ease and improved user experience.

North America is Expected to Hold a Large Share of the Market

  • North America is expected to hold the largest market size and dominate the ESP market during the forecast period. The fact that there are a lot of ESP vendors in the area is due to their early adoption of new technologies and high adoption rates, as well as their investments in research and development to improve their event-based offerings.
  • The rise in demand for event stream processing is pushing firms in the region to provide new solutions to capture market share. For example, IBM Event Streams is an IBM Cloud Pak for integration capabilities. It gives enterprises access to corporate data via event streams, allowing them to gain insights from event-based data and detect and take action in real time and at scale. The IBM differentiators mentioned were the ability to control event endpoints alongside API administration.
  • In February last year, Express Analytics, a US-based data analytics firm, announced that it would enter the Indian market as part of its global expansion strategy, offering artificial intelligence (AI) and machine learning (ML)-based predictive analytics services to companies in the technology, telecom, banking, advertising, and retail industries, as well as the public sector. In addition, the company has made a strategic deal with Delhi-based Mavcomm Advisory to expand its portfolio in the fast-changing digital Indian market.
  • The cloud segment in the United States is witnessing several partnership activities. For instance, HCL Technologies, a global technology-oriented company, announced the extension of its partnership with Google Cloud to bring HCL's Actian portfolio offering, Actian Avalanche, to Google Cloud. This hybrid cloud data warehouse is proposed to improve an enterprise's operational analytics workload. Avalanche also offers a business intelligence and analytics platform with Google Cloud and helps popular SaaS and enterprise applications deliver a comprehensive solution that is easy to deploy and consume.
  • With increasing numbers of customers switching to digital channels and the high cost of a physical branch network, digital-only banking entities are proliferating. While few financial institutions are launching digital-only banks to collect deposits, others use digital platforms to provide lending, investing, and specialty services. In both cases, the focus is on coming up with new ideas, making the customer experience better, and giving the customer more value. This is only possible with customer data and event stream processing.

Event Stream Processing Industry Overview

The global event stream processing market is moderately competitive owing to the presence of multiple players. The players in the market are adopting strategies like product innovation, mergers, and acquisitions in order to expand their product portfolios, expand their geographic reach, and primarily to stay competitive in the market.

In October 2022, RisingWave Labs, a business developing a platform for data stream processing, announced a Series A fundraising round of USD 36 million headed by Yunqi Partners, unidentified corporate partners, and angel investors. The money, which brings RisingWave's total investment to more than USD 40 million, will be used to expand the startup's business operations in preparation for the launch of RisingWave Cloud, a new cloud service, in the next few years.

In March 2022, Quine, created by thatDot, will be an open-source streaming graph solution designed for high-volume event processing. Quine, according to thatDot, mixes graph data and streaming technologies to enable the building of real-time, complicated event processing processes at scale. Developing an event-driven microservice for stream processing is a difficult endeavor that combines complex difficulties from the database and distributed systems domains. Consensus, concurrency, transactional logic, clustering behavior, fault tolerance, scalability, balancing read and write performance trade-offs, and other features are all included.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Increasing Adoption of the Internet of Things (IoT) and Smart Devices
    • 4.2.2 Increasing Need to Analyze Large Volumes of Data From Diverse Sources
  • 4.3 Market Restraints
    • 4.3.1 Concerns Associated with Data Security and Privacy
  • 4.4 Porter's Five Forces Analysis
    • 4.4.1 Bargaining Power of Suppliers
    • 4.4.2 Bargaining Power of Buyers
    • 4.4.3 Threat of New Entrants
    • 4.4.4 Threat of Substitute Products
    • 4.4.5 Intensity of Competitive Rivalry

5 MARKET SEGMENTATION

  • 5.1 Deployment Type
    • 5.1.1 Cloud
    • 5.1.2 On-premise
  • 5.2 Component
    • 5.2.1 Solutions (Software & Platforms)
    • 5.2.2 Services
  • 5.3 Application
    • 5.3.1 Fraud Detection
    • 5.3.2 Algorithmic Trading
    • 5.3.3 Process Monitoring
    • 5.3.4 Predictive Maintenance
    • 5.3.5 Sales and Marketing
  • 5.4 End-user Vertical
    • 5.4.1 IT & Telecommunications
    • 5.4.2 BFSI
    • 5.4.3 Manufacturing
    • 5.4.4 Retail & E-commerce
    • 5.4.5 Energy & Utilities
    • 5.4.6 Other End-user Verticals
  • 5.5 Geography
    • 5.5.1 North America
    • 5.5.2 Europe
    • 5.5.3 Asia-Pacific
    • 5.5.4 Latin America
    • 5.5.5 Middle-East and Africa

6 COMPETITIVE LANDSCAPE

  • 6.1 Company Profiles
    • 6.1.1 IBM Corporation
    • 6.1.2 Microsoft Corporation
    • 6.1.3 Google Inc.
    • 6.1.4 Oracle Corporation
    • 6.1.5 Amazon Web Services Inc.
    • 6.1.6 Salesforce
    • 6.1.7 Redhat
    • 6.1.8 SAP SE
    • 6.1.9 TIBCO
    • 6.1.10 Hazelcast IMDG
    • 6.1.11 SAS
    • 6.1.12 Confluent, Inc.
    • 6.1.13 Hitachi Vantara
    • 6.1.14 Informatica

7 INVESTMENT ANALYSIS

8 MARKET OPPORTUNITIES AND FUTURE TRENDS