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全球人工智慧 IT 营运平台市场 - 2024-2031

Global Artificial Intelligence For IT Operations Platform Market - 2024-2031

出版日期: 2024年12月30日 | 出版商:

DataM Intelligence | 英文 204 Pages | 商品交期: 最快1-2个工作天内

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简介目录

全球人工智慧IT营运平台市场规模在2023年达到15.9亿美元，预计到2031年将达到85.9亿美元，2024-2031年预测期间复合年增长率为23.47%。

AIOps 解决方案采用机器学习、巨量资料分析和自动化来优化 IT 运营，促进即时监控、异常识别和主动问题解决。 IT 环境日益复杂，加上对快速、精确解决问题的需求，加速了 AIOps 解决方案在银行、医疗保健、零售和製造业等不同行业的实施。

国际商业实体的快速数位革命导致资料集日益复杂，需要大量的时间、费用和精力来进行资料处理。随着 IT 营运经历这种变化，IT 团队遇到了管理复杂资料集以维持业务营运的问题。 NetBase Quid 在《2023 年人工智慧指数报告》中指出，根据各产业的合作与收购，2021 年人工智慧领域的年度企业投资预计将达到 1,196.6 亿美元，2022 年将达到 771.7 亿美元。

对数位创新的需求不断增长，以及为提高解决方案的精度和效率而不断增加的企业投资，推动了该领域对这些工具的需求。美国、加拿大和墨西哥的 Amazon Web Services, Inc.、IBM Corporation、Dynatrace LLC、BMC Software, Inc. 和 Dell Inc. 等着名 IT 营运工具提供商的人工智慧的存在将促进 AIOps 市场的成长预测期内北美。

动力学

转变数位化营运

AIOps 正在透过增强 IT 营运来改变数位转型，以满足数位时代不断增长的需求。这项创新技术透过优化后端流程和简化复杂 IT 基础架构的管理来提供无缝数位体验。它有效地协调混合云端生态系统内的基础设施、应用程式和服务，确保有效性并提高客户满意度。

随着全球企业在疫情后的远距工作和协作环境中进行数位转型，由于技术整合的复杂性，许多组织在实现其目标时遇到了困难。 AIOps 技术透过利用机器学习将营运资料情境化、自动解决问题并促进明智的决策来缓解这些挑战。此解决方案优化转型流程并促进有效的组织扩展。

IBM 2022 年的一项调查显示，54% 的企业已经看到了人工智慧在各产业应用的好处。人工智慧的实施提高了 IT 或网路营运的效率 (53%)，透过提高效率减少开支并提高客户满意度 (48%)。

增强安全性和合规性

解决安全威胁和遵守监管标准的需求日益增长，正在推动 AIOps 平台的采用。随着 IT 环境变得日益复杂和网路威胁，更先进的组织在检测和回应安全漏洞同时保持法规遵循方面面临挑战。 AIOps 平台利用复杂的分析和机器学习演算法，透过检查大量安全资料（包括日誌、事件和网路流量）来增强安全操作。

这些技术提供即时异常侦测和主动威胁识别，从而实现快速事件回应并降低违规风险。 AIOps 系统透过自动收集、分析和报告安全资料来增强合规性。他们提供持续的监督、创建审计追踪并协助公司遵守行业要求。

AIOps 平台透过整合人工智慧和自动化来增强安全管理、保护重要资产并提高营运效率，使企业能够有效地应对动态安全环境。 2024 年 2 月，Metra Group 宣布与印度 IT 营运安全人工智慧提供者 TechBridge Consultancy Services LLP 建立增值合作伙伴关係，利用先进的分析和 AI/ML 功能增强海湾合作委员会国家的数位转型和安全性。

AIOps 演算法的不透明性

缺乏透明度削弱了决策过程中的信心和理解。在金融和医疗保健等受到严格监管的行业中，开放性的缺乏尤其令人担忧，在这些行业中，责任和合规性至关重要。这些演算法的复杂性经常使其结果的验证和解释变得复杂，从而引发有关其可信度和公平性的问题。发展强大的可解释性工具对于克服这些困难是必要的。

这些策略旨在阐明 AIOps 系统，为其决策过程提供透明的见解。组织可以透过促进开放来培养信任、保证监管遵守并增强对人工智慧生成建议背后推理的理解。在演算法复杂性和可解释性之间实现平衡对于培养 AIOps 系统的信任至关重要。实现这种平衡不仅可以促进接受，还可以在人类判断至关重要的领域加强问责制和开放性的基本原则。

AIOps solutions employ machine learning, big data analytics and automation to optimize IT operations, facilitating real-time monitoring, anomaly identification and proactive issue resolution. The increasing intricacy of IT environments, along with the demand for expedited and precise problem resolution, has hastened the implementation of AIOps solutions across diverse sectors, including banking, healthcare, retail and manufacturing.

The swift digital revolution in international commercial entities has resulted in increasingly intricate datasets, necessitating substantial time, expense and effort for data processing. As IT operations undergo this change, IT teams encounter the issue of managing complex datasets to maintain business operations. As reported by NetBase Quid in the AI Index Report of 2023, the annual corporate investment in artificial intelligence was estimated at US$ 119.66 billion in 2021 and US$ 77.17 billion in 2022, based on collaborations and acquisitions across various industries.

The increasing demand for digital innovations and escalating corporate investments to improve the precision and efficiency of solutions are propelling the demand for these tools in the area. The presence of prominent artificial intelligence for IT operations tool providers, including Amazon Web Services, Inc., IBM Corporation, Dynatrace LLC, BMC Software, Inc. and Dell Inc., in US, Canada and Mexico will enhance the growth of the AIOps market in North America during the forecast period.

Dynamics

Transforming Digital Operations

AIOps is transforming digital transformation by enhancing IT operations to satisfy the growing demands of the digital age. This innovative technology enables the provision of seamless digital experiences by optimizing backend processes and streamlining the management of intricate IT infrastructures. It efficiently coordinates infrastructure, applications and services inside hybrid cloud ecosystems, guaranteeing effectiveness and improved customer satisfaction.

As global firms engage in digital transformation in the post-pandemic landscape of remote work and collaboration, numerous organizations encounter difficulties in realizing their goals due to the intricacies of technology integration. AIOps technologies mitigate these challenges by employing machine learning to contextualize operational data, automate problem resolution and facilitate informed decision-making. The solutions optimize transformation processes and facilitate effective organizational scaling.

A 2022 IBM survey indicated that 54% of enterprises have seen the benefits of AI application across all industries. The implementation of AI enhances the efficacy of IT or network operations (53%), decreases expenses through heightened efficiency and elevates customer happiness (48%).

Enhancing Security and Compliance

The increasing need to address security threats and comply with regulatory standards is driving the adoption of AIOps platforms. As IT environments become increasingly intricate and cyber threats more advanced organizations face challenges in detecting and responding to security breaches while maintaining regulatory compliance. AIOps platforms utilize sophisticated analytics and machine learning algorithms to enhance security operations by examining vast amounts of security data, including logs, events and network traffic.

The technologies provide real-time anomaly detection and proactive threat identification, enabling swift incident response and reducing the risk of breaches. AIOps systems enhance compliance by automating the collection, analysis and reporting of security data. They offer ongoing surveillance, create audit trails and assist firms in complying with industry requirements.

AIOps platforms increase security management, protect vital assets and improve operational efficiency by integrating AI and automation, enabling enterprises to efficiently traverse the dynamic security landscape. In February 2024, Metra Group announced a value-added partnership with TechBridge Consultancy Services LLP, an India-based provider of secure artificial intelligence for IT operations, to enhance digital transformation and security across GCC countries utilizing advanced analytics and AI/ML capabilities.

The Opacity of AIOps Algorithms

The lack of transparency eroding confidence and understanding in decision-making processes. The absence of openness is particularly alarming in heavily regulated industries like finance and healthcare, where responsibility and compliance are essential. The intricacy of these algorithms frequently complicates the validation and interpretation of their results, hence eliciting questions regarding their trustworthiness and equity. Developing robust interpretability tools is necessary to overcome these difficulties.

The strategies seek to elucidate AIOps systems, providing transparent insights into their decision-making processes. Organizations may cultivate trust, guarantee regulatory adherence and enhance comprehension of the reasoning behind AI-generated suggestions by promoting openness. Achieving a balance between algorithmic complexity and interpretability is essential for fostering trust in AIOps systems. Attaining this equilibrium not only fosters acceptance but also strengthens the essential principles of accountability and openness in sectors where human judgment is crucial..

Segment Analysis

The global artificial intelligence for IT operations platform market is segmented based on offering, application, deployment organization size, end-user and region.

Driving IT Efficiency With Platforms

AIOps platforms amalgamate many features, such as event correlation, anomaly detection and automated issue response, offering a comprehensive strategy for IT operations. This integration allows IT teams to enhance visibility and proactively oversee intricate hybrid and multi-cloud settings. Platforms enable the use of machine learning, big data analytics and automation, optimizing workflows and minimizing expenses. The capacity of these platforms to scale according to evolving IT requirements has increased their demand, as enterprises pursue solutions that facilitate digital transformation and enhance operational efficiency.

In March 2024, Visionet Systems Inc., a technology service provider, established a cooperation with Algomox, a provider of artificial intelligence for IT operations, to facilitate digital transformations in Visionet's ITOps operations. The incorporation of Algomox's AIOps platform into Visionet's managed cloud services automates intricate IT activities utilizing advanced AI technology, provides profound operational data insights and guarantees dependable service delivery.

Geographical Penetration

Advanced IT Infrastructure, Industry Demand, Real-Time Analytics and Digital Transformation in North America

North America comprises numerous prominent technology firms and sophisticated IT infrastructures, enabling the prompt implementation of cutting-edge AIOps solutions. The proliferation of numerous firms in diverse sectors, including finance, healthcare and retail, propels the necessity for effective IT operations and proactive incident management.

The escalating complexity of IT environments and the demand for real-time data analytics are driving the expansion of AIOps platforms in North America. Significant investments in research and development by major entities, coupled with a proficient staff, further enhance the United States' predominant share in the AIOps market. Moreover, the emphasis on digital transformation programs and cloud adoption among US enterprises amplifies the demand for scalable AIOps solutions.

Competitive Landscape

The major global players in the market include APPDYNAMICS, BMC Software, Inc., Broadcom Inc., HCL Technologies Limited, IBM Corporation, Micro Focus International plc, Dell Inc., ProphetStor Data Services, Inc., Splunk LLC and Thales.

Sustainability Analysis

Conventional IT operations encounter significant environmental issues, especially due to the energy consumption of data centers that frequently depend on non-renewable energy sources, resulting in elevated carbon emissions. The persistent need for hardware upgrades produces electronic waste, which presents environmental hazards if not disposed of properly. Manual IT processes are resource-intensive, resulting in inefficiencies and waste. As sustainability gains prominence, firms that use eco-friendly IT strategies not only diminish their environmental impact but also secure competitive advantages, enhance operational efficiencies and bolster future resilience against resource scarcity and stringent laws.

AIOps provides an effective solution to these difficulties by enhancing IT operations for sustainability. AIOps platforms utilize predictive analytics and automation to optimize resource allocation, reduce energy usage and prolong the longevity of IT infrastructure. AIOps tools can identify problems promptly, averting energy-consuming downtimes and superfluous resource expenditure. Moreover, by automating repetitive processes, AIOps diminishes the necessity for manual interventions, hence reducing operational inefficiencies.

Its capacity for dynamic resource adjustment via auto-scaling and self-healing mechanisms guarantees optimal resource usage, resulting in substantial energy savings. As AIOps platforms advance, they will be pivotal in advancing sustainability objectives, potentially minimizing e-waste and enhancing operations for more environmentally friendly IT practices, establishing AIOps as a fundamental element of future green IT endeavors.

Digital Transformation

AIOps (Artificial Intelligence for IT Operations) is emerging as a crucial facilitator of digital transformation across several industries. As enterprises increasingly depend on data-driven decision-making, AIOps offers essential solutions to enhance data management via automation. AIOps solutions facilitate the efficient management of data gathering, processing, analysis and visualization, enabling enterprises to discern critical insights in real time, hence maintaining competitiveness in a progressively intricate digital environment.

AIOps significantly enhances customer experience using sophisticated data analytics. Utilizing AI and machine learning enables organizations to acquire profound insights into client behavior, facilitating the customization of their products and services. AIOps facilitates product and service differentiation, bolstering brand loyalty and increasing income. Monitoring and observability capabilities guarantee a flawless customer engagement, proactively correcting issues and enhancing brand value.

AIOps mitigates interruptions by automating manual operations, hence decreasing bottlenecks and downtime. This automation promotes operational resilience and increases productivity across departments. AIOps' capacity to forecast possible problems with predictive algorithms enables enterprises to tackle challenges preemptively, hence ensuring seamless and uninterrupted operations.

By Offering

Platform
Domain-Centric
- Monitoring-centric AIOps
- ITSM centric-AIOps
- Data-Lake centric-AIOps
Domain-Agnostic
Services
- Professional Services
- Managed Services

By Application

Infrastructure Management
Application Performance Analysis
Real-Time Analytics
Network & Security Management
Others

By Deployment

Cloud
On-premises

By Organization Size

Large Enterprises
SMEs

By End-User

IT & Telecom
Retail & E-Commerce
Energy & Utilities
Media & Entertainment
BFSI
Healthcare & Life Sciences
Government & Defense
Transportation and Logistics
Manufacturing
Others

By Region

North America
- US
- Canada
- Mexico
Europe
- Germany
- UK
- France
- Italy
- Spain
- 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 September 2024, Vitria Technology, Inc., the architect of the VIA AIOps platform-an agile AI solution tailored for extensive operational intelligence-reported a significant increase in demand and customer acceptance. In the past year, Vitria Technology's AIOps platform facilitated a 60% enhancement in overall service availability, an 80% decrease in the time needed to handle service issues and 92% of incidents were identified prior to affecting consumers.
In April 2024, BMC, a software solution provider, purchased Netreo, a provider of intelligent and secure IT network and application solutions, to enhance its leadership in observability and artificial intelligence for IT operations. BMC intends to enhance visibility into company operational performance across infrastructure, networks and apps via an open observability platform through this acquisition.
In September 2023, Viavi Solutions Inc. established a relationship with Google Cloud to introduce NITRO AIOps, a cloud-based network intelligence and optimization solution. This collaboration sought to address significant difficulties faced by communication service providers (CSPs) and investigate new avenues for network optimization and intelligence.
In January 2023, Interlink Software collaborated with Cisco to integrate their AIOps platform with AppDynamics. Through this integration, IT teams reduce the risk of avoidable outages and improve service availability, hence optimizing overall operational performance.

Why Purchase the Report?

To visualize the global artificial intelligence for IT operations platform market segmentation based on offering, application, deployment organization size, end-user and region, as well as understand key commercial assets and players.
Identify commercial opportunities by analyzing trends and co-development.
Excel data sheet with numerous data points of the artificial intelligence for IT operations platform 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 artificial intelligence for IT operations platform market report would provide approximately 78 tables, 80 figures and 204 pages.

Target Audience 2024

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

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 Offering
3.2. Snippet by Application
3.3. Snippet by Deployment
3.4. Snippet by Organization Size
3.5. Snippet by End-User
3.6. Snippet by Region

4. Dynamics

4.1. Impacting Factors
- 4.1.1. Drivers
  - 4.1.1.1. Transforming Digital Operations
  - 4.1.1.2. Enhancing Security and Compliance
- 4.1.2. Restraints
  - 4.1.2.1. The Opacity of AIOps Algorithms
- 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. DMI Opinion

6. By Offering

6.1. Introduction
- 6.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
- 6.1.2. Market Attractiveness Index, By Offering
6.2. Platform*
- 6.2.1. Introduction
- 6.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
6.3. Domain-Centric
- 6.3.1. Monitoring-centric AIOps
- 6.3.2. ITSM centric-AIOps
- 6.3.3. Data-Lake centric-AIOps
6.4. Domain-Agnostic
6.5. Services
- 6.5.1. Professional Services
- 6.5.2. Managed Services

7. By Application

7.1. Introduction
- 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 7.1.2. Market Attractiveness Index, By Application
7.2. Infrastructure Management*
- 7.2.1. Introduction
- 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
7.3. Application Performance Analysis
7.4. Real-Time Analytics
7.5. Network & Security Management
7.6. Others

8. By Deployment

8.1. Introduction
- 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 8.1.2. Market Attractiveness Index, By Deployment
8.2. Cloud*
- 8.2.1. Introduction
- 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
8.3. On-premises

9. By Organization Size

9.1. Introduction
- 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 9.1.2. Market Attractiveness Index, By Organization Size
9.2. Large Enterprises*
- 9.2.1. Introduction
- 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
9.3. SMEs

10. By End-User

10.1. Introduction
- 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 10.1.2. Market Attractiveness Index, By End-User
10.2. IT & Telecom*
- 10.2.1. Introduction
- 10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
10.3. Retail & E-Commerce
10.4. Energy & Utilities
10.5. Media & Entertainment
10.6. BFSI
10.7. Healthcare & Life Sciences
10.8. Government & Defense
10.9. Transportation and Logistics
10.10. Manufacturing
10.11. Others

11. By Region

11.1. Introduction
- 11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
- 11.1.2. Market Attractiveness Index, By Region
11.2. North America
- 11.2.1. Introduction
- 11.2.2. Key Region-Specific Dynamics
- 11.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
- 11.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 11.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deloyment
- 11.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 11.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 11.2.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 11.2.8.1. US
  - 11.2.8.2. Canada
  - 11.2.8.3. Mexico
11.3. Europe
- 11.3.1. Introduction
- 11.3.2. Key Region-Specific Dynamics
- 11.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
- 11.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 11.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deloyment
- 11.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 11.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 11.3.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 11.3.8.1. Germany
  - 11.3.8.2. UK
  - 11.3.8.3. France
  - 11.3.8.4. Italy
  - 11.3.8.5. Spain
  - 11.3.8.6. Rest of Europe
11.4. South America
- 11.4.1. Introduction
- 11.4.2. Key Region-Specific Dynamics
- 11.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
- 11.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 11.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deloyment
- 11.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 11.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 11.4.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 11.4.8.1. Brazil
  - 11.4.8.2. Argentina
  - 11.4.8.3. Rest of South America
11.5. Asia-Pacific
- 11.5.1. Introduction
- 11.5.2. Key Region-Specific Dynamics
- 11.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
- 11.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 11.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deloyment
- 11.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 11.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 11.5.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 11.5.8.1. China
  - 11.5.8.2. India
  - 11.5.8.3. Japan
  - 11.5.8.4. Australia
  - 11.5.8.5. Rest of Asia-Pacific
11.6. Middle East and Africa
- 11.6.1. Introduction
- 11.6.2. Key Region-Specific Dynamics
- 11.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
- 11.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 11.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deloyment
- 11.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 11.6.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User

12. Competitive Landscape

12.1. Competitive Scenario
12.2. Market Positioning/Share Analysis
12.3. Mergers and Acquisitions Analysis

13. Company Profiles

13.1. APPDYNAMICS*
- 13.1.1. Company Overview
- 13.1.2. Product Portfolio and Description
- 13.1.3. Financial Overview
- 13.1.4. Key Developments
13.2. BMC Software, Inc.
13.3. Broadcom Inc.
13.4. HCL Technologies Limited
13.5. IBM Corporation
13.6. Micro Focus International plc
13.7. Dell Inc.
13.8. ProphetStor Data Services, Inc.
13.9. Splunk LLC
13.10. Thales

LIST NOT EXHAUSTIVE

14. Appendix

14.1. About Us and Services
14.2. Contact Us

02-2729-4219

+886-2-2729-4219

License/价格

全球人工智慧 IT 营运平台市场 - 2024-2031

Global Artificial Intelligence For IT Operations Platform Market - 2024-2031

目录

第 1 章：方法与范围

第 2 章：定义与概述

第 3 章：执行摘要

第 4 章：动力学

第 5 章：产业分析

第 6 章：透过奉献

第 7 章：按申请

第 8 章：透过部署

第 9 章：按组织规模

第 10 章：最终用户

第 11 章：按地区

第 12 章：竞争格局

第 13 章：公司简介

第 14 章：附录