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市場調査レポート
商品コード
1678056
AIOps市場規模、シェア、成長分析:提供別、展開モード別、用途別、業界別、地域別 - 産業予測 2025~2032年AIOps Market Size, Share, and Growth Analysis, By Offering (Platform, Domain-Centric), By Deployment Mode (On-Premises, Cloud), By Application, By Vertical, By Region - Industry Forecast 2025-2032 |
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AIOps市場規模、シェア、成長分析:提供別、展開モード別、用途別、業界別、地域別 - 産業予測 2025~2032年 |
出版日: 2025年03月06日
発行: SkyQuest
ページ情報: 英文 195 Pages
納期: 3~5営業日
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AIOpsの世界市場規模は2023年に115億9,000万米ドルとなり、2024年の140億4,000万米ドルから2032年には649億2,000万米ドルに拡大し、予測期間(2025年~2032年)のCAGRは21.1%で成長する見通しです。
世界のAIOps市場は、デジタルトランスフォーメーションとクラウドネイティブアーキテクチャに牽引され、IT管理と産業運用の複雑化に対応して進化しています。この成長の主な要因は、ITインフラストラクチャから生成されるデータの量と種類が急増し、複数のソースからのデータを分析および相関させるためにAIと機械学習アルゴリズムの使用が必要になっていることです。AIOpsは、ITチームをリアクティブなアプローチからプロアクティブな問題解決へとシフトさせ、オペレーションの俊敏性と効率性を高めます。AIOpsは、監視やインシデント管理などの面倒なプロセスを自動化することで、IT担当者が戦略的な取り組みに時間を割くことを可能にします。システムのパフォーマンスをリアルタイムに把握することで、企業は問題を迅速に特定して対処できるため、特に複雑化するハイブリッド環境やマルチクラウド環境において、ダウンタイムを最小限に抑え、リソースの利用率を最大化することができます。
Global AIOps Market size was valued at USD 11.59 billion in 2023 and is poised to grow from USD 14.04 billion in 2024 to USD 64.92 billion by 2032, growing at a CAGR of 21.1% during the forecast period (2025-2032).
The global AIOps market is evolving in response to the increasing complexity of IT management and industrial operations, driven by digital transformation and cloud-native architectures. This growth is primarily fueled by the soaring volume and variety of data generated by IT infrastructure, necessitating the use of AI and machine learning algorithms to analyze and correlate data from multiple sources. AIOps empowers IT teams to shift from reactive approaches to proactive problem-solving, enhancing operational agility and efficiency. By automating tedious processes such as monitoring and incident management, AIOps allows IT professionals to devote their time to strategic initiatives. With real-time insights into system performance, organizations can identify and address issues swiftly, thereby minimizing downtime and maximizing resource utilization, especially within increasingly complex hybrid and multi-cloud environments.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Aiops 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.
Global Aiops Market Segments Analysis
Global AIOps Market is segmented by Offering, Deployment Mode, Application, Vertical and region. Based on Offering, the market is segmented into Platform, Domain-Centric, Domain-Agnostic and Services. Based on Deployment Mode, the market is segmented into On-Premises and Cloud. Based on Application, the market is segmented into Infrastructure Management, ITSM, Security & Event Management, Security Incident and Event Management (SIEM), Threat Intelligence and Detection, Security Automation and Orchestration, Security Event Correlation, User and Entity Behavior Analytics and Vulnerability Management. Based on Vertical, the market is segmented into BFSI, Retail & eCommerce, Transportation and Logistics, Government & Defense, Healthcare & Life Sciences, Telecom, Energy & Utilities, Manufacturing, IT/ITeS, Media & Entertainment and Other Verticals. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Global Aiops Market
The Global AIOps market is significantly driven by the growing complexity of IT infrastructures, particularly as organizations adopt hybrid and multi-cloud environments. These intricate setups often pose challenges in managing performance and availability effectively. AIOps plays a crucial role in addressing these challenges by automating processes, providing predictive insights, and proactively resolving issues. This enables IT teams to efficiently manage vast amounts of data, ensuring smooth operations and reducing downtime across various systems. As the demand for streamlined IT solutions increases, AIOps emerges as a vital tool to enhance operational efficiency and maintain optimal performance in complex environments.
Restraints in the Global Aiops Market
The global AIOps market faces significant constraints due to the requirement for extensive data collection involving sensitive information to effectively integrate AI and machine learning technologies. This dependency heightens concerns related to privacy, the potential for data security breaches, and adherence to regulatory frameworks like the General Data Protection Regulation (GDPR). Such challenges create barriers to the widespread adoption of AIOps, particularly among organizations that operate in heavily regulated industries. Consequently, companies must navigate these complexities to ensure compliance while trying to leverage the benefits offered by AIOps solutions, thereby hindering their ability to fully capitalize on market opportunities.
Market Trends of the Global Aiops Market
The Global AIOps market is witnessing a significant trend towards the growing adoption of cloud-based solutions, driven by their ability to enhance IT operations through increased scalability, flexibility, and cost efficiency. As businesses increasingly rely on real-time analytics, predictive insights, and automation, cloud-based AIOps tools enable organizations to optimize performance, minimize downtime, and achieve seamless IT management. This strategic shift is essential across diverse industries, as companies look to leverage advanced technologies for data-driven decision-making and operational efficiency. Consequently, the demand for cloud-integrated AIOps solutions is expected to continue its upward trajectory, reshaping IT landscapes globally.