What Has Been the Progress and Growth of the Artificial Intelligence For IT Operations Platform Market in Recent Years?
The artificial intelligence for it operations platform market has seen considerable growth due to a variety of factors.
• The market size for the artificial intelligence for IT operations platform has seen a significant expansion in the past few years. The industry, which is predicted to grow from $14.81 billion in 2024 to $18.07 billion in 2025, will have a compound annual growth rate (CAGR) of 22.0%.
The past growth trends can be credited to the escalating intricacy of IT infrastructure, the rise in data volumes, the necessity for immediate insight, and the pursuit of cost effectiveness.
What Is The Expected Growth In The Artificial Intelligence For IT Operations Platform Market Size Evolve over the Forecast Period?
The artificial intelligence for it operations platform market is expected to maintain its strong growth trajectory in upcoming years.
• The market size for the artificial intelligence for IT operations platform is predicted to undergo explosive growth in the upcoming years, reaching a valuation of $40.68 billion in 2029, increasing at a compound annual growth rate (CAGR) of 22.5%.
The expansion anticipated in the forecast period is due to factors such as the adoption of machine learning algorithms, integration into DevOps practices, emphasis on predictive analytics, the advent of autonomous IT operations, and increased use of edge computing. During the forecast period, key trends will involve hybrid and multi-cloud management, a focus on AIOps for cyber security, incorporating AI into IT service management (ITSM), a shift towards event correlation and root cause analysis, and the development of explainable AI for transparency and compliance purposes.
What Main Forces Are Fueling Expansion In The Artificial Intelligence For IT Operations Platform Market?
The swift uptake of cloud-based infrastructure within the IT industry is anticipated to boost the expansion of the artificial intelligence for IT operations platform market. Cloud-based infrastructure comprises computing resources, for example, servers and storage, that are distributed and managed online via cloud services. They amplify artificial intelligence for IT operations (AIOps) by offering scalable infrastructure, enabling effortless data storage, and facilitating real-time analytics for the optimization and automation of IT operations. For instance, in December 2023, the European Commission (EC), a Belgium-based executive corporation of the European Union (EU), reported that there was a 4.2% rise in the adoption of cloud-based solutions in the European Union, with 45.2% of businesses procuring cloud computing services. The information and communication sector accounted for 79% of this, and large enterprises were 77.6%, marking a significant increase compared to 2021. Hence, the swift uptake of cloud-based infrastructure in the IT industry is propelling the expansion of the artificial intelligence for IT operations platform market.
What Are The Primary Segments In The Global Artificial Intelligence For IT Operations Platform Market?
The artificial intelligence for it operations platform market covered in this report is segmented –
1) By Type: Software, Service
2) By Technology: Natural Language Processing (NLP), Computer Vision, Machine Learning (ML), Context-Aware Computing
3) By Deployment Model: Cloud, On-Premises
4) By Organization Size: Small And Medium Enterprises (SMEs), Large Enterprises
5) By Application: IT Infrastructure, Application Performance Monitoring (APM), Real-Time Analytics, Network Security
Subsegments:
1) By Software: Cloud-Based AIOps Software, On-Premises AIOps Software
2) By Service: Professional Services, Managed Services
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Which Emerging Market Trends Are Altering The Artificial Intelligence For IT Operations Platform Industry?
Key players in the artificial intelligence for IT operations platform marketplace are placing an emphasis on the development of AI platforms like EY.AI, striving to gain an advantage over their competitors. AI platforms are comprehensive software solutions that incorporate high-level processing capabilities, data analytics, and machine learning algorithms, built to support the creation, implementation, and oversight of AI applications and services. For example, in September 2023, Ernst & Young, a law firm based in the UK, unveiled EY.ai, an AI platform for IT operations. This platform is engineered to harness the strengths of AI to facilitate the transformation of IT operations for organizations. The goal of EY.ai is to marry human abilities with artificial intelligence in order to aid EY clients in embracing AI with assurance and responsibility for their business transformation. EY.ai brings together cutting-edge EY technology platforms and AI skills with a robust AI ecosystem, capitalising on its extensive background in strategy, transactions, transformation, risk, assurance, and tax.
Who Are the Key Players In The Artificial Intelligence For IT Operations Platform Market?
Major companies operating in the artificial intelligence for IT operations platform market report are:
• Amazon.com Inc.
• Apple Inc.
• Google (Alphabet Inc.)
• Microsoft Corporation
• IBM Corporation
• Broadcom Inc.
• VMware Inc.
• HCL Technologies Limited
• ServiceNow Inc.
• Splunk Inc.
• BMC Software Inc.
• Micro Focus International plc
• SS&C Blue Prism
• Dynatrace Inc.
• Sumo Logic Inc.
• C3.ai Inc.
• DataRobot Inc.
• AppDynamics
• Lily AI
• Resolve Systems LLC
• Big Panda Inc
• FixStream Network Inc.
• ProphetStor Data Services Inc.
• OpenAI LP
• Clarifai Inc.
• Sherpa.ai
• Moogsoft Inc.
• H2O.ai
• Nauto Inc
What Is The Most Dominant Region In The Artificial Intelligence For IT Operations Platform Market?
North America was the largest region in the artificial intelligence for IT operations platform market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence for IT operations platform market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
