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市場調查報告書
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1463546

全球資訊科技 (IT) 營運分析市場 - 2024-2031

Global Information Technology (IT) Operations Analytics Market - 2024-2031

出版日期: | 出版商: DataM Intelligence | 英文 215 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

概述

全球資訊科技(IT)營運分析市場在2023年達到236億美元,預估至2031年將達2,353億美元,2024-2031年預測期間複合CAGR為33.3%。

由於 IT 基礎設施的複雜性不斷增加,對主動監控和管理解決方案的需求以及人工智慧和機器學習技術的採用,全球 IT 營運分析市場正在不斷擴大。

美國各行業的公司(包括 BFSI、零售和電信)正在迅速認知到 ITOA 在最佳化其 IT 營運方面的價值。 ITOA Solutions 積極主動的 IT 管理方法吸引了努力在現代市場中保持強大地位的組織。

例如,2022 年 11 月 3 日,IBM 發布了最新的 IT 分析工具,旨在幫助組織打破資料和分析孤島,提供快速的資料驅動決策和有效的導航。 IBM Business Analytics Enterprise 是一套商業智慧工具,包括規劃、預測和報告功能,為客戶提供整個組織環境中資料來源的全面視圖。因此,美國貢獻了近80%的地區市場佔有率。

動力學

透過主動監控和 ITOA 解決方案增強 IT 營運能力

隨著IT產業的不斷變化和IT環境複雜性的增加,產生了大量的營運資料。隨著 ITOA 解決方案的發展,組織能夠有效地分析營運資料並提取有用的見解。 ITOA 解決方案使組織能夠快速識別 IT 系統效能問題的根本原因,並以更具可擴展性和成本效益的方式進行分析。組織可以使用這些解決方案來分析從許多應用程式收集的大量營運資料。部署具有即時分析功能的 ITOA 系統可以改善分析結果。

在當今動態且快節奏的企業環境中,傳統的 IT 營運管理反應技術不再有效。組織正在迅速認知到主動監控和管理策略在避免停機、最佳化效能以及確保重要 IT 服務的可靠性和可用性方面的價值。

不斷發展的基於雲端的部署模型

隨著雲端原生技術和架構的接受度不斷提高,基於雲端的 ITOA 解決方案能夠有效地整合到雲端原生系統中。這些系統可以從基於雲端的服務、平台和應用程式收集資料,為公司提供對其整個 IT 生態系統(無論是在本地還是在雲端)的全面監督和洞察。

基於雲端的 ITOA 解決方案支援混合雲和多雲設置,使組織能夠輕鬆監控和控制跨不同雲端供應商以及本地基礎設施的 IT 營運。對混合雲和多雲端系統的支援可確保組織能夠維持對其 IT 營運的可見性和控制,而不受其雲端策略的影響,從而提高效能並降低風險。

安全合規性問題和互通性問題

互通性問題阻礙了全球 IT 營運分析市場的成長。隨著組織採用廣泛的 IT 系統、平台和技術,互通性變得更加困難,阻礙了 ITOA 解決方案在異質 IT 環境中的無縫整合和操作。

在不斷變化的網路安全威脅和嚴格的監管法規的環境中,安全合規性問題是採用和擴展 IT 營運分析解決方案的主要障礙。組織,尤其是 BFSI 和醫療保健等受到嚴格監管領域的組織,必須遍歷資料隱私規則、合規標準和行業特定指令的複雜網路。

目錄

目錄

第 1 章:方法與範圍

  • 研究方法論
  • 報告的研究目的和範圍

第 2 章:定義與概述

第 3 章:執行摘要

  • 按組件分類的片段
  • 解決方案片段
  • 服務片段
  • 按部署模式分類的片段
  • 按組織規模分類的片段
  • 最終使用者的片段
  • 按地區分類的片段

第 4 章:動力學

  • 影響因素
    • 促進要素
      • 透過主動監控和 ITOA 解決方案增強 IT 營運能力
      • 不斷發展的基於雲端的部署模型
    • 限制
      • 安全合規性問題和互通性問題
    • 機會
    • 影響分析

第 5 章:產業分析

  • 波特五力分析
  • 供應鏈分析
  • 定價分析
  • 監管分析
  • 俄烏戰爭影響分析
  • DMI 意見

第 6 章:COVID-19 分析

  • COVID-19 分析
    • 新冠疫情爆發前的情景
    • 新冠疫情期間的情景
    • 新冠疫情後的情景
  • COVID-19 期間的定價動態
  • 供需譜
  • 疫情期間政府與市場相關的舉措
  • 製造商策略舉措
  • 結論

第 7 章:按組件

  • 解決方案
  • 服務

第 8 章:按解決方案

  • 日誌管理
  • 應用效能管理
  • 網路與安全管理
  • 根本原因分析
  • 異常檢測
  • 容量管理
  • 業務流程監控
  • 其他

第 9 章:依服務分類

  • 專業的服務
    • 諮詢
    • 系統整合與實施
    • 支援與維護
  • 管理服務

第 10 章:按部署模式

  • 本地部署

第 11 章:依組織規模

  • 中小企業
  • 大型企業

第 12 章:最終用戶

  • 藥品
  • 化妝品和個人護理
  • 食品和飲料
  • 化學品
  • 其他

第 13 章:按地區

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 義大利
    • 俄羅斯
    • 歐洲其他地區
  • 南美洲
    • 巴西
    • 阿根廷
    • 南美洲其他地區
  • 亞太
    • 中國
    • 印度
    • 日本
    • 澳洲
    • 亞太其他地區
  • 中東和非洲

第14章:競爭格局

  • 競爭場景
  • 市場定位/佔有率分析
  • 併購分析

第 15 章:公司簡介

  • Oracle
    • 公司簡介
    • 產品組合和描述
    • 財務概覽
    • 主要進展
  • IBM
  • SAP
  • Micro Focus
  • Vmware
  • Hitachi
  • SAS Institute
  • Broadcom
  • Microsoft
  • Cisco

第 16 章:附錄

簡介目錄
Product Code: ICT8346

Overview

Global Information Technology (IT) Operations Analytics Market reached US$ 23.6 billion in 2023 and is expected to reach US$ 235.3 billion by 2031, growing with a CAGR of 33.3% during the forecast period 2024-2031.

The global IT operations analytics market is expanding due to increased complexity in IT infrastructures demand for proactive monitoring and management solutions and adoption of AI and machine learning technologies.

U.S.-based companies in a variety of industries, including BFSI, retail and telecommunications, are rapidly recognizing the value of ITOA in optimizing their IT operations. ITOA Solutions' proactive approach to IT management appeals to organizations striving to remain strong in the modern marketplace.

For instance, on November 3, 2022, IBM has released its latest IT analytics tools, which are intended to assist organizations in breaking down data and analytics silos, provides quick data-driven decision-making and competent navigation. IBM Business Analytics Enterprise is a suite of business intelligence tools that includes planning, forecasting and reporting capabilities, which offers customers with a comprehensive view of data sources across their entire organizational landscape. Therefore, U.S. contributes for nearly 80% of the regional market shares.

Dynamics

Empowering IT Operations Through Proactive Monitoring and ITOA Solutions

With the continuously changing IT industry and increased complexity of IT environments, a massive volume of operational data is generated. With the development of ITOA solutions organizations were able to effectively analyze operational data and extract useful insights. ITOA solutions enable organizations to quickly identify the root cause of IT system performance concerns and analyze them in a more scalable and cost-effective manner. Organizations can use these solutions to analyze large amounts of operational data collected from many apps. Deploying ITOA systems with real-time analysis capability leads to improved analytical outcomes.

Traditional reactive techniques for IT operations management are no longer effective in today's dynamic and fast-paced corporate environment. Organizations are rapidly recognizing the value of proactive monitoring and management strategies in avoiding downtime, optimizing performance and ensuring the dependability and availability of important IT services.

Growing Cloud-Based Deployment Models

With the growing acceptance of cloud-native technologies and architectures, cloud-based ITOA solutions are well-positioned to integrate efficiently into cloud-native systems. The systems can collect data from cloud-based services, platforms and apps, providing companies with complete oversight and insights into their whole IT ecosystem, whether on-premises or in the cloud.

Cloud-based ITOA solutions support hybrid and multi-cloud settings, allowing organizations to effortlessly monitor and control IT operations across different cloud providers as well as on-premises infrastructure. The support for hybrid and multi-cloud systems guarantees that organizations can maintain visibility and control over their IT operations, independent of their cloud strategy, hence improving performance and lowering risks.

Security Compliance Concerns and Interoperability Issues

Interoperability concerns impede the growth of the global IT operations analytics market. As organizations employ a broad set of IT systems, platforms and technologies, interoperability becomes more difficult, impeding the seamless integration and operation of ITOA solutions in heterogeneous IT environments.

In the ever-changing landscape of cybersecurity threats and demanding regulatory regulations, security compliance issues are a key barrier to the adoption and extension of IT operations analytics solutions. Organizations, particularly those in heavily regulated areas like BFSI and healthcare, must traverse a complicated web of data privacy rules, compliance standards and industry-specific mandates.

Segment Analysis

The global information technology (IT) operations analytics market is segmented based on component, solutions, services, deployment mode organization size, end-user and region.

Comprehensive Capabilities and Integration Drive Market Growth

ITOA solutions offer a wide range of capabilities, such as data collecting, analysis, visualization, monitoring and reporting. The comprehensive services give organizations the tools they need to efficiently monitor, manage and optimize their IT operations. Solution providers can serve a wide range of customers by addressing diverse needs and requirements across industries and use cases, hence driving market growth.

Solution providers offer open APIs, connectors and interoperability frameworks that enable data interchange and integration with third-party tools and systems. The integration capability helps organizations to use their existing investments in IT infrastructure and tools, resulting in increased adoption of ITOA solutions and faster time-to-value. Therefore, the solutions as a component segment capture the majority of global market shares.

Geographical Penetration

Expansion Strategies through Operations Analytics Centers

Operations Analytics Centers in India and China allow companies to increase their presence and market reach in the rapidly growing Asia-Pacific. The centers act as hubs for developing, marketing and supporting ITOA products that are specialized to the specific needs and preferences of Asian-Pacific consumers.

For instance, in June 2022, Criteo announced the commencement of the construction of its first regional Technology Operations and Analytics Centre in Hyderabad, India. The construction of this center is part of Criteo's strategic ambitions to extend and scale its operational capabilities throughout the Asia-Pacific and beyond, to increase its support for its clients and partners. Therefore, developments like these fuel the growth of the Asia-Pacific market.

COVID-19 Impact Analysis

During the pandemic, there was a greater emphasis on work from home culture and the digitalization. Furthermore, the COVID-19 has boosted the demand for business operational analytics such as IT analytics, predictive forecasting models and predictive analysis. As result, pandemic has supplemented the growth of the IT operations analytics market in variety of end-use industries.

ITOA solutions aided resilience and business continuity efforts by enabling real-time monitoring, predictive analytics and proactive incident management capabilities to detect and mitigate possible disruptions before they impair operations.

Russia-Ukraine War Impact Analysis

Conflict sometimes leads to a rise in cybersecurity dangers, such as cyberattacks and data breaches. To reduce these risks organizations can opt to prioritize cybersecurity investments above IT operations analytics projects. The shift in objectives may affect the acceptance and growth of IT operations analytics solutions.

Geopolitical conflicts can result in market uncertainty, influencing investment decisions and corporate confidence. Organizations may postpone or scale back their IT operations analytics initiatives in response to economic and political uncertainties. It could hinder market growth in Europe and internationally.

AI Impact

AI-powered root cause analysis skills help IT operations teams identify the underlying causes of problems more quickly and correctly. By analyzing massive volumes of data from many sources, AI algorithms can identify the main cause of performance degradation or outages, saving time and resources. The automated analysis speeds up troubleshooting processes, reduces downtime and increases the efficiency of IT operations teams

By Component

  • Solutions
  • Services

By Solutions

  • Log Management
  • Application Performance Management
  • Network and Security Management
  • Root Cause Analysis
  • Anomaly Detection
  • Capacity Management
  • Business Process Monitoring
  • Others

By Services

  • Professional Services
    • Consulting
    • System Integration and Implementation
    • Support and Maintenance
  • Managed Services

By Deployment Mode

  • Cloud
  • On-Premises

By Organization Size

  • SMEs
  • Large Enterprises

By End-User

  • BFSI
  • Retail and Consumer Goods
  • Telecom
  • Manufacturing
  • Energy and Utilities
  • Healthcare and Life Sciences
  • Government and Defense
  • Transportation and Logistics
  • Others

By Region

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • France
    • Italy
    • Russia
    • Rest of Europe
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia-Pacific
    • China
    • India
    • Japan
    • Australia
    • Rest of Asia-Pacific
  • Middle East and Africa

Key Developments

  • In January 2023, Microsoft has collaborated with AiFi to offer Smart Store Analytics, a tracking service for cashier less stores.
  • In June 2022, Criteo has announced intentions to open its first regional Technology Operations and Analytics Centre in Hyderabad City, Telangana, India.
  • In November 2022, IBM has unveiled new tools to assist organizations in breaking down data and analytics silos, allowing them to make data-driven choices fast and navigate unanticipated challenges.

Competitive Landscape

The major global players in the market include Oracle, IBM, SAP, Micro Focus, Vmware, Hitachi, SAS Institute, Broadcom, Microsoft and Cisco.

Why Purchase the Report?

  • To visualize the global information technology (IT) operations analytics market segmentation based on component, solutions, services, deployment mode organization size, end-user and region, as well as understands key commercial assets and players.
  • Identify commercial opportunities by analyzing trends and co-development.
  • Excel data sheet with numerous data points of information technology (IT) operations analytics market-level with all segments.
  • PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
  • Product mapping available as excel consisting of key products of all the major players.

The global information technology (IT) operations analytics market report would provide approximately 85 tables, 89 figures and 215 Pages.

Target Audience 2024

  • Manufacturers/ Buyers
  • Industry Investors/Investment Bankers
  • Research Professionals
  • Emerging Companies

Table of Contents

Table of Contents

1.Methodology and Scope

  • 1.1.Research Methodology
  • 1.2.Research Objective and Scope of the Report

2.Definition and Overview

3.Executive Summary

  • 3.1.Snippet by Component
  • 3.2.Snippet by Solutions
  • 3.3.Snippet by Services
  • 3.4.Snippet by Deployment Mode
  • 3.5.Snippet by Organization Size
  • 3.6.Snippet by End-User
  • 3.7.Snippet by Region

4.Dynamics

  • 4.1.Impacting Factors
    • 4.1.1.Drivers
      • 4.1.1.1.Empowering IT Operations Through Proactive Monitoring and ITOA Solutions
      • 4.1.1.2.Growing Cloud-Based Deployment Models
    • 4.1.2.Restraints
      • 4.1.2.1.Security Compliance Concerns and Interoperability Issues
    • 4.1.3.Opportunity
    • 4.1.4.Impact Analysis

5.Industry Analysis

  • 5.1.Porter's Five Force Analysis
  • 5.2.Supply Chain Analysis
  • 5.3.Pricing Analysis
  • 5.4.Regulatory Analysis
  • 5.5.Russia-Ukraine War Impact Analysis
  • 5.6.DMI Opinion

6.COVID-19 Analysis

  • 6.1.Analysis of COVID-19
    • 6.1.1.Scenario Before COVID
    • 6.1.2.Scenario During COVID
    • 6.1.3.Scenario Post COVID
  • 6.2.Pricing Dynamics Amid COVID-19
  • 6.3.Demand-Supply Spectrum
  • 6.4.Government Initiatives Related to the Market During Pandemic
  • 6.5.Manufacturers Strategic Initiatives
  • 6.6.Conclusion

7.By Component

  • 7.1.Introduction
    • 7.1.1.Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 7.1.2.Market Attractiveness Index, By Component
  • 7.2.Solutions*
    • 7.2.1.Introduction
    • 7.2.2.Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 7.3.Services

8.By Solutions

  • 8.1.Introduction
    • 8.1.1.Market Size Analysis and Y-o-Y Growth Analysis (%), By Solutions
    • 8.1.2.Market Attractiveness Index, By Solutions
  • 8.2.Log Management*
    • 8.2.1.Introduction
    • 8.2.2.Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 8.3.Application Performance Management
  • 8.4.Network and Security Management
  • 8.5.Root Cause Analysis
  • 8.6.Anomaly Detection
  • 8.7.Capacity Management
  • 8.8.Business Process Monitoring
  • 8.9.Others

9.By Services

  • 9.1.Introduction
    • 9.1.1.Market Size Analysis and Y-o-Y Growth Analysis (%), By Services
    • 9.1.2.Market Attractiveness Index, By Services
  • 9.2.Professional Services*
    • 9.2.1.Introduction
    • 9.2.2.Market Size Analysis and Y-o-Y Growth Analysis (%)
      • 9.2.2.1.Consulting
      • 9.2.2.2.System Integration and Implementation
      • 9.2.2.3.Support and Maintenance
  • 9.3.Managed Services

10.By Deployment Mode

  • 10.1.Introduction
    • 10.1.1.Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
    • 10.1.2.Market Attractiveness Index, By Deployment Mode
  • 10.2.Cloud*
    • 10.2.1.Introduction
    • 10.2.2.Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 10.3.On-Premises

11.By Organization Size

  • 11.1.Introduction
    • 11.1.1.Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
    • 11.1.2.Market Attractiveness Index, By Organization Size
  • 11.2.SMEs*
    • 11.2.1.Introduction
    • 11.2.2.Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 11.3.Large Enterprises

12.By End-User

  • 12.1.Introduction
    • 12.1.1.Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 12.1.2.Market Attractiveness Index, By End-User
  • 12.2.Pharmaceuticals*
    • 12.2.1.Introduction
    • 12.2.2.Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 12.3.Cosmetic and Personal Care
  • 12.4.Food and Beverages
  • 12.5.Chemicals
  • 12.6.Others

13.By Region

  • 13.1.Introduction
    • 13.1.1.Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
    • 13.1.2.Market Attractiveness Index, By Region
  • 13.2.North America
    • 13.2.1.Introduction
    • 13.2.2.Key Region-Specific Dynamics
    • 13.2.3.Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 13.2.4.Market Size Analysis and Y-o-Y Growth Analysis (%), By Solutions
    • 13.2.5.Market Size Analysis and Y-o-Y Growth Analysis (%), By Services
    • 13.2.6.Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
    • 13.2.7.Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
    • 13.2.8.Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 13.2.9.Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 13.2.9.1.U.S.
      • 13.2.9.2.Canada
      • 13.2.9.3.Mexico
  • 13.3.Europe
    • 13.3.1.Introduction
    • 13.3.2.Key Region-Specific Dynamics
    • 13.3.3.Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 13.3.4.Market Size Analysis and Y-o-Y Growth Analysis (%), By Solutions
    • 13.3.5.Market Size Analysis and Y-o-Y Growth Analysis (%), By Services
    • 13.3.6.Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
    • 13.3.7.Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
    • 13.3.8.Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 13.3.9.Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 13.3.9.1.Germany
      • 13.3.9.2.UK
      • 13.3.9.3.France
      • 13.3.9.4.Italy
      • 13.3.9.5.Russia
      • 13.3.9.6.Rest of Europe
  • 13.4.South America
    • 13.4.1.Introduction
    • 13.4.2.Key Region-Specific Dynamics
    • 13.4.3.Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 13.4.4.Market Size Analysis and Y-o-Y Growth Analysis (%), By Solutions
    • 13.4.5.Market Size Analysis and Y-o-Y Growth Analysis (%), By Services
    • 13.4.6.Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
    • 13.4.7.Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
    • 13.4.8.Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 13.4.9.Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 13.4.9.1.Brazil
      • 13.4.9.2.Argentina
      • 13.4.9.3.Rest of South America
  • 13.5.Asia-Pacific
    • 13.5.1.Introduction
    • 13.5.2.Key Region-Specific Dynamics
    • 13.5.3.Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 13.5.4.Market Size Analysis and Y-o-Y Growth Analysis (%), By Solutions
    • 13.5.5.Market Size Analysis and Y-o-Y Growth Analysis (%), By Services
    • 13.5.6.Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
    • 13.5.7.Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
    • 13.5.8.Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
    • 13.5.9.Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 13.5.9.1.China
      • 13.5.9.2.India
      • 13.5.9.3.Japan
      • 13.5.9.4.Australia
      • 13.5.9.5.Rest of Asia-Pacific
  • 13.6.Middle East and Africa
    • 13.6.1.Introduction
    • 13.6.2.Key Region-Specific Dynamics
    • 13.6.3.Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 13.6.4.Market Size Analysis and Y-o-Y Growth Analysis (%), By Solutions
    • 13.6.5.Market Size Analysis and Y-o-Y Growth Analysis (%), By Services
    • 13.6.6.Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
    • 13.6.7.Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
    • 13.6.8.Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User

14.Competitive Landscape

  • 14.1.Competitive Scenario
  • 14.2.Market Positioning/Share Analysis
  • 14.3.Mergers and Acquisitions Analysis

15.Company Profiles

  • 15.1.Oracle*
    • 15.1.1.Company Overview
    • 15.1.2.Product Portfolio and Description
    • 15.1.3.Financial Overview
    • 15.1.4.Key Developments
  • 15.2.IBM
  • 15.3.SAP
  • 15.4.Micro Focus
  • 15.5.Vmware
  • 15.6.Hitachi
  • 15.7.SAS Institute
  • 15.8.Broadcom
  • 15.9.Microsoft
  • 15.10.Cisco

LIST NOT EXHAUSTIVE

16.Appendix

  • 16.1. About Us and Services
  • 16.2.Contact Us