AIOps：市場佔有率分析、產業趨勢與統計、成長預測（2025-2030 年）

預計 2025 年 AIOps 市場規模為 337.8 億美元，到 2030 年將達到 990.7 億美元，預測期間（2025-2030 年）的複合年成長率為 24.01%。

隨著越來越多的人在家工作，並且公司實施在家工作(WFH) 政策，資訊安全的重點已經從企業基礎設施轉移到雲端和虛擬基礎設施。

主要亮點

• DevOps 專業人員被大量的警報、大量的 IT 雜訊以及跨多種技術的訊號所淹沒。同時，企業越來越需要提高IT基礎設施的效能，並更準確、更快速地管理事件。
• 隨著企業意識到人工智慧如何應對挑戰並協助 IT 營運，他們正在轉向基於人工智慧的解決方案。此外，隨著在家工作人數的增加，AIOps 行業可能會成長。根據世界經濟論壇統計，美國員工在家工作的天數從2021年1月的每週1.58天增加到去年6月的每週2.37天。
• 此外，隨著裝置智慧化，網路變得更加複雜，資料量也不斷增加，推動了 AIOps 的採用。全球範圍內雲端處理的使用日益廣泛也推動了許多業務的自動化。隨著越來越多的企業轉向雲端，對 AIOps 平台的需求預計將會激增。
• IT 營運管理 (ITOM) 產業已經對基於 SaaS 的 ITOM 的出現做出了反應。 SaaS 作為 IT​​ 幫助台和基礎設施監控的交付模式已被證明是有益的。這些解決方案通常透過收購的 SaaS 供應商整合日誌管理、網站監控、伺服器監控和雲端管理。然而，認知度低是預測期內限制市場成長的主要問題之一。
• 由於各公司擴大實行在家工作政策，新冠疫情刺激了包括人工智慧在內的下一代技術領域的市場成長。例如，LogMeIn, Inc.（美國）是一家基於雲端和SaaS的遠端連線和客戶互動服務供應商，在疫情期間，其整個服務組合的新註冊量顯著成長。
• 全球網路犯罪的增多，包括駭客攻擊、網路釣魚、網路身分竊盜和勒索軟體攻擊，造成了業務中斷和財務損失，使許多企業對資料安全感到擔憂。 gov.uk 去年的一項民意調查發現，39% 的英國企業在過去 12 個月內經歷過網路攻擊，這與前幾年的調查結果一致。此外，即使是小型企業也越來越接受自動化技術，這有助於基於人工智慧的平台的部署，這有望推動人工智慧營運市場的成長。

AIOps 市場趨勢

BFSI 預計將佔很大佔有率

• 銀行業務涉及員工、客戶和外部機構執行的許多常規和非常規活動和交易。這些活動的複雜性使得監控至關重要。提供即時資訊和自動化問題解決的 AIOps 預計將在預測期內推動市場成長。 CA Technology 的 AIOps 平台，即 CA Digital Experience Insights，可協助金融機構解決複雜的 IT 問題，包括效能、容量和配置問題。
• 銀行和其他金融機構非常重視保護其產生的資料，主要是因為過去幾年發生了多起資料外洩事件。
• 許多銀行和其他金融機構正在轉向 AIOps 來提高效率。例如，印度一家中央銀行旨在提高其數位商家入職流程的成功率，並簡化和簡化新客戶的交易。 QualityKiosk 基於 AIOps 的分析解決方案 AnaBot 透過更好地處理國內和美國交易，將收益提高了 7%，並提高了商家入職成功率。
• 根據 BAE 系統應用情報公司的數據，美國和英國近四分之三（74%）的金融機構的網路犯罪增加。除了可察覺的金錢損失之外，網路犯罪還會為企業帶來嚴重的財務影響，包括股價暴跌、聲譽受損和法律訴訟。 AIOps 可以幫助防禦這些犯罪行為。 AIOps 解決方案提供全天候監控、可疑活動偵測和啟動防禦措施以保護易受攻擊的系統。
• 此外，人工智慧與金融機構營運服務的整合增強了服務台系統的內建功能。這為高階管理層提供了必要的監督和關鍵績效指標，使他們能夠在業務趨勢對現有產品和流程產生不利影響之前了解這些趨勢。

歐洲成長強勁

• 歐洲 AIOps 市場成長的主要原因之一是該地區的 MSP 希望為正在經歷大規模數位轉型並需要現代營運解決方案的企業提供全面的服務。
• 該地區的公司正在採取各種策略來獲得競爭優勢。例如，總部位於英國的 Micro Focus 去年 10 月宣布，其 Operations Bridge 在「研究行動 (RIA) 供應商評估矩陣」調查的 AIOps 平台類別中被評為領導者。除了這項榮譽之外，Micro Focus 還宣布了兩款新的 SaaS 解決方案：Operations Bridge Reports 和 Cloud Observability。
• 此外，報告顯示，人工智慧在 IT/技術領域的應用最為普遍，佔 47%，其次是研發領域，佔 36%，以及客戶服務領域，佔 24%。這意味著AI在IT業務領域變得越來越重要。
• 政府在提高日常業務中對人工智慧的認知方面發揮著重要作用。透過宣佈人工智慧為關鍵戰略重點，一些成員國和歐盟機構正在採取措施推進該地區在人工智慧領域的領導地位。這將包括制定國家和歐盟級人工智慧戰略文件，促進研發和創新，並考慮新的監管方法來管理人工智慧的開發和使用。
• 此外，歐盟委員會還計劃透過「地平線歐洲」和「數位歐洲」計畫每年向人工智慧投資 10 億歐元（10.7 億美元）。在數位化十年，歐盟委員會預計將動員私人公司和成員國的進一步投資，達到每年 200 億歐元（213.9 億美元）的資本規模，以推動該地區的 AIOps 產業發展。
• 為了採取道德的方式對待新技術，以獲得相對於中國和美國的競爭優勢，歐洲最近宣布了一套針對人工智慧開發和使用的嚴格規則和保障措施。所有「高風險」的人工智慧應用在進入市場之前都必須接受強制評估。這對於使用 AIOps 處理敏感資料的醫療保健和 BFSI 行業尤其有利。

AIOps 產業概覽

AIOps 市場競爭激烈，因為有幾個主要企業，例如：我們不斷創新產品和服務的能力幫助我們獲得了相對於市場上其他參與者的競爭優勢。這些參與者可以透過策略夥伴關係關係、併購以及研發活動獲得更大的市場佔有率。

• 2022 年 11 月 - 網路智慧供應商 Aprecomm 推出了 Aprecomm Virtual Wireless Expert，這是針對 Edgecore ecCloud 控制器的 AIOps 解決方案。據發布消息稱，兩家公司聯合宣布了Edgecore Wi-Fi AIOps解決方案，該解決方案將使所有Edgecore Wi-Fi 6網路基地台的用戶能夠提高網路效能。
• 2022 年 6 月 - HCL Technologies DRYiCE 宣布推出 DRYiCE IntelliOps (IntelliOps)，這是一種滿足企業對全端 AIOps 和工作流程可觀察性需求的解決方案。企業已對先進的數位化計劃進行了大量投資，以實現其 IT 環境的現代化並滿足消費者對始終線上數位化服務的期望。但仍有一些障礙需要克服。

其他福利

• Excel 格式的市場預測 (ME) 表
• 3 個月的分析師支持

目錄

第 1 章 簡介

• 研究假設和市場定義
• 研究範圍

第2章調查方法

第3章執行摘要

第4章 市場洞察

• 市場概況
• 產業吸引力－波特五力分析
  • 供應商的議價能力
  • 消費者議價能力
  • 新進入者的威脅
  • 替代品的威脅
  • 競爭對手之間的競爭強度
• COVID-19 市場影響評估

第5章 市場動態

• 市場促進因素
  • IT營運對基於人工智慧的服務的需求不斷成長
  • 端到端業務應用程式保證並增加執行時間
• 市場限制
  • IT 營運變化加劇
• 市場機會與關鍵發展
  • 小型企業轉向雲端基礎設施
  • 各國政府紛紛推出人工智慧舉措
• 過去兩年發布的 AIOps 工具以及需要考慮的關鍵 AIOps 平台功能
• 在整個應用程式生命週期中將 AIOps 應用於各種使用案例
• AIOps 的演變和使用案例

第6章 主要申請情況

• 根本原因分析
• 網路可用性和最佳化
• 分配問題
• 異常檢測和網路安全
• 改善儲存管理

第7章 市場區隔

• 按組織類型
  • 中小企業
  • 大型企業
• 按部署
  • 本地
  • 雲/SaaS
• 按最終用戶產業
  • 媒體與娛樂
  • 資訊科技/通訊
  • 零售
  • 衛生保健
  • BFSI
  • 其他最終用戶產業
• 按地區
  • 北美洲
  • 歐洲
  • 亞太地區
  • 拉丁美洲
  • 中東和非洲

第8章 競爭格局

• 公司簡介
  • Bigpanda Inc.
  • BMC Software Inc.
  • Broadcom Inc
  • Elasticsearch BV
  • IBM Corporation
  • Logz.Io（Logshero Ltd.）
  • Loom Systems Ltd.（Service Now Inc）
  • Moogsoft Inc.
  • Splunk Inc
  • Appdynamics LLC（Cisco Systems Inc）
  • Dynatrace LLC
  • Extrahop Networks Inc.
  • New Relic Inc.
  • Resolve Systems LLC
  • Stackstate BV

第9章投資分析

第10章：市場的未來

The AIOps Market size is estimated at USD 33.78 billion in 2025, and is expected to reach USD 99.07 billion by 2030, at a CAGR of 24.01% during the forecast period (2025-2030).

With the increase in the number of people working from home, enterprise-instituted work-from-home (WFH) policies shifted information security focus from enterprise infrastructure to cloud and virtualized infrastructure.

Key Highlights

• DevOps professionals are hampered by large amounts of warnings, substantial IT noise, and signals spread across diverse technologies. Meanwhile, companies need to increase IT infrastructure performance and manage events more precisely and quickly is expanding.
• Enterprises are moving toward AI-based solutions as they become more aware of how AI can handle difficulties and assist operating IT operations. Furthermore, the growing number of individuals working from home will likely increase the AIOps industry. According to the World Economic Forum, the number of days US employees work from home climbed from 1.58 per week in January 2021 to 2.37 in June last year.
• Furthermore, as devices gain intelligence, networks have become more complex, and data volumes have increased, boosting AIOps usage. The growing global use of cloud computing is also pushing the automation of many operations. As more businesses transition to the cloud, the need for AIOps platforms is projected to surge.
• The IT Operations Management (ITOM) industry is already reacting to the emergence of SaaS ITOM. SaaS as a delivery model for IT helpdesks and infrastructure monitoring is proven beneficial. These solutions typically incorporate log management, website monitoring, server monitoring, and cloud management from acquired SaaS vendors. However, lack of awareness is one of the significant concerns restraining market growth during the forecast period.
• Due to the increasing work-from-home policy across companies, the COVID-19 outbreak stimulated market growth in next-generation tech sectors, including artificial intelligence. For example, during the outbreak, LogMeIn, Inc. (US), a provider of cloud and SaaS-based remote connection and customer interaction services, substantially increased the number of new sign-ups across all its service portfolios.
• The rising number of cybercrimes, such as hacking, phishing, online identity theft, and ransomware assaults, which cause business disruptions and financial losses worldwide, generated concerns for many companies about their data security. According to a last year's gov.uk poll, 39% of UK firms recognized a cyber assault in the preceding 12 months, consistent with prior years of the study. Furthermore, the increased acceptance of automation technologies in enterprises, even on a small scale, is driving the deployment of AI-based platforms, which is expected to boost AIOps market growth.

AIOps Market Trends

BFSI is Expected to Hold Significant Share

• Banking operations include many periodic and aperiodic activities and transactions performed by employees, customers, and external agencies. These activities are complex, which makes monitoring essential. AIOps delivering real-time information and automated problem-solving are expected to boost market growth over the forecast period. The AIOps platform from C.A. technologies, i.e., C.A. Digital Experience Insights, enables financial firms to solve complex I.T. problems, including performance, capacity, and configuration issues.
• Banks and other financial institutions focus on ensuring the security of the data they generate, primarily due to the numerous high-profile data breaches over the past few years.
• Many banks and other financial institutions are using AIOps to increase their efficiency. For instance, a central Indian bank intended to increase the success rate of its digital merchants' onboarding process and streamline and simplify transactions for its new clients. By better servicing ON-US & OFF-US transactions, QualityKiosk's AIOps-based analytics solution AnaBot boosted revenue by 7% and enhanced the success percentage of merchant onboarding.
• According to BAE Systems Applied Intelligence, cybercrime increased at about three-fourths (74%) of financial institutions in the U.S. and the United Kingdom. In addition to the recognized financial losses, cybercrime can have severe financial implications for enterprises, including collapsing stock prices, reputational damage, and legal action. AIOps can help in the defense against this crime. AIOps solutions offer round-the-clock monitoring, suspicious activity detection, and defense operation initiation to safeguard susceptible systems.
• Furthermore, the integration of A.I. in operation services across financial institutions enhanced the capabilities built into the service desk systems. It thus provides the oversight and critical performance indicators necessary for the higher management to identify operational trends before adversely impacting the existing products and processes.

Europe to Witness Significant Growth

• One of the primary reasons for the European AIOps market growth is the region's MSPs seeking to offer comprehensive services to enterprises undergoing large-scale digital transformation and requiring modern operations solutions.
• Companies in the region employ various strategies to achieve a competitive edge. For instance, in October last year, Micro Focus, a business with headquarters in the UK, declared that Operations Bridge had been recognized as a Leader in the Research in Action (RIA) Vendor Evaluation MatrixTM study for AIOps Platforms. In addition to receiving this honor, Micro Focus also unveiled Operations Bridge Reports and Cloud Observability, two new SaaS solutions.
• Moreover, the most widely reported adoption of AI (47%) was in the IT/technology function, followed by R&D with 36% and customer service with 24%. It signifies the growing importance given to AI in the IT operations field.
• The government plays a significant role in increasing awareness about artificial intelligence in daily operations. By declaring AI as a major strategic priority, several member states and EU institutions are taking steps to advance the region's ambitions for AI leadership. It includes rolling out devoted national and EU-level AI strategy documents, boosting research and innovation, and exploring new regulatory approaches for managing the development and use of AI.
• Additionally, the European Commission intends to invest EUR 1 billion (USD 1.07 billion) annually in AI through Horizon Europe and Digital Europe programs. Over the digital decade, it will mobilize further investment from the private industry and the Member States to reach an annual capital volume of Euro 20 billion (USD 21.39 billion), predicted to propel the AIOps industry in the region.
• Europe recently released a set of strict rules and safeguards for the development and artificial intelligence use as it tries to make an ethical approach to the new technology to gain a competitive advantage over China and the United States. Before entering the market, all 'high-risk' AI applications will be subject to a compulsory assessment. It will be especially beneficial for the healthcare and BFSI sectors which handle sensitive data using AIOps.

AIOps Industry Overview

The competitive rivalry amongst the players in the market is high owing to the presence of some key players such as Moogsoft Inc., IBM Corporation, Splunk Inc., BMC Software Inc., and Sumo Logic Inc., amongst others. The ability to continually innovate its products and services allowed them to gain a competitive advantage over other players in the market. These players can attain a more significant market footprint through strategic partnerships, mergers & acquisitions, and research and development activities.

• November 2022- Aprecomm, a provider of network intelligence, unveiled their AIOps solution for Edgecore ecCloud controllers, the Aprecomm Virtual Wireless Expert. According to a release, all users of Edgecore Wi-Fi 6 access points can increase network performance due to the Edgecore Wi-Fi AIOps solution that the two firms jointly introduced.
• June 2022- The HCL Technologies DRYiCE introduced DRYiCE IntelliOps (IntelliOps), a solution that addresses an enterprise's full-stack AIOps and workflow observability demands. Businesses have made significant investments in sophisticated digital efforts to modernize their IT environment and strive to meet consumer expectations for constantly available digital services. However, a few obstacles still need to be overcome.

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 INSIGHTS

• 4.1 Market Overview
• 4.2 Industry Attractiveness - Porter's Five Forces Analysis
  • 4.2.1 Bargaining Power of Suppliers
  • 4.2.2 Bargaining Power of Consumers
  • 4.2.3 Threat of New Entrants
  • 4.2.4 Threat of Substitute
  • 4.2.5 Intensity of Competitive Rivalry
• 4.3 Assessment of the Impact of COVID-19 on the Market

5 MARKET DYNAMICS

• 5.1 Market Drivers
  • 5.1.1 Growing demand for AI-based services in IT operations
  • 5.1.2 Increasing end-to-end business application assurance and uptime
• 5.2 Market Restraints
  • 5.2.1 Increasing number of changes in IT operations
• 5.3 Market Opportunities and Key Developments
  • 5.3.1 SMEs Moving Towards Cloud Infrastructure
  • 5.3.2 Government Initiatives For AI Adoption in Various Countries
• 5.4 AIOps Tools Released in Past Two Years and Key AIOps Platform Capabilities To be Considered
• 5.5 Application of AIOps across various Use Cases Over the Life Cycle of an Application
• 5.6 Evolution of AIOps Stages and Use Cases

6 KEY APPLICATION LANDSCAPE

• 6.1 Root Cause Analysis
• 6.2 Network Availability and Optimization
• 6.3 Problem Assignment
• 6.4 Anomaly Detection and Cybersecurity
• 6.5 Improved Storage Management

7 MARKET SEGMENTATION

• 7.1 Organization Type
  • 7.1.1 Small and Medium Enterprises
  • 7.1.2 Large Enterprise
• 7.2 Deployment
  • 7.2.1 On-Premise
  • 7.2.2 Cloud/SaaS
• 7.3 End-User Industry
  • 7.3.1 Media and Entertainment
  • 7.3.2 IT and Telecom
  • 7.3.3 Retail
  • 7.3.4 Healthcare
  • 7.3.5 BFSI
  • 7.3.6 Other End-User Industries
• 7.4 Geography
  • 7.4.1 North America
  • 7.4.2 Europe
  • 7.4.3 Asia Pacific
  • 7.4.4 Latin America
  • 7.4.5 Middle East and Africa

8 COMPETITIVE LANDSCAPE

• 8.1 Company Profiles
  • 8.1.1 Bigpanda Inc.
  • 8.1.2 BMC Software Inc.
  • 8.1.3 Broadcom Inc
  • 8.1.4 Elasticsearch B.V
  • 8.1.5 IBM Corporation
  • 8.1.6 Logz.Io (Logshero Ltd.)
  • 8.1.7 Loom Systems Ltd. (Service Now Inc)
  • 8.1.8 Moogsoft Inc.
  • 8.1.9 Splunk Inc
  • 8.1.10 Appdynamics LLC (Cisco Systems Inc)
  • 8.1.11 Dynatrace LLC
  • 8.1.12 Extrahop Networks Inc.
  • 8.1.13 New Relic Inc.
  • 8.1.14 Resolve Systems LLC
  • 8.1.15 Stackstate BV

9 INVESTMENT ANALYSIS

10 FUTURE OF THE MARKET