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市場調査レポート
商品コード
1622401
イベントストリーム処理市場規模、シェア、成長分析、タイプ別、コンポーネント別、展開モード別、用途別、業界別、地域別 - 産業予測、2024~2031年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 |
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イベントストリーム処理市場規模、シェア、成長分析、タイプ別、コンポーネント別、展開モード別、用途別、業界別、地域別 - 産業予測、2024~2031年 |
出版日: 2024年12月22日
発行: SkyQuest
ページ情報: 英文 197 Pages
納期: 3~5営業日
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イベントストリーム処理2023年の市場規模は1,725億5,000万米ドルで、2024年の2,112億2,000万米ドルから2032年には1兆648億米ドルに成長し、予測期間(2025年~2032年)のCAGRは22.41%で成長する見通しです。
ビッグデータの利点を認識する企業が増えているため、リアルタイム分析への需要が加速しており、業界の大幅な成長を牽引しています。クラウドベースのイベントストリーム処理ソリューションの採用は、市場拡大をさらに促進すると予想されます。マッハ・アイ社のレポートによると、個人が毎日生成するデータは2.5兆バイトに上り、この数字は今後劇的に増加し、ビジネス・インテリジェンス・ユーザーが実用的な知見を得る上での課題になるといいます。この動向は、洗練された使いやすいデータ変換ツールの必要性を強調しています。小売企業は、ターゲットを絞ったオファーと予測分析を活用することで、高度にパーソナライズされたエクスペリエンスを構築し、リピート購入の動機付けとなるオーダーメイドの割引を通じて売上を向上させることができます。さらに、予測分析は顧客生涯価値(CLV)の評価に役立ち、収益性の高い顧客の特定を強化します。イベントストリーム処理の台頭はRFIDアプリケーションでも顕著で、リアルタイムのデータ処理の需要に応えています。
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.