The AIOps Platform Market: Overview
The AIOps Platform Market is valued at around USD 6.7 billion in 2022 and is expected to reach USD 80.2 billion by 2030, registering a CAGR of 25.4% over the forecast period. DevOps is a term used to describe an agile connection between development operations and IT. AIOps was initially created with IT operators in mind, but as its use increased, DevOps teams started to gain advantages as well. This is because DevOps teams require better tools to monitor their complex environments and the detailed, comprehensive observability data logs, metrics, and traces that they produce. The DevOps tool chain now includes AIOps, which focuses on monitoring and controlling testing, security, performance, and other areas by using AI and machine learning (ML) algorithms to your monitoring and observability data. This strategy uses automation to provide DevOps engineers and related technologies with instant real-time input.
Report Scope
Report Attributes | Description |
Market Size in 2022 | USD 6,700 Million |
Market Forecast in 2033 | USD 34,180 Million |
CAGR % 2023-2033 | 25% |
Base Year | 2022 |
Historic Data | 2019-2021 |
Forecast Period | 2023-2033 |
Report USP | Country and regional estimates, key investment areas, |
Segments Covered | Type, application and vertical |
Regional Scope | North America, Europe, APAC, South America and Middle East and Africa |
Country Scope | U.S.; Canada; U.K.; Germany; France; Italy; Spain; Benelux; Nordic Countries; Russia; China; India; Japan; South Korea; Australia; Indonesia; Thailand; Mexico; Brazil; Argentina; Saudi Arabia; UAE; Egypt; South Africa; Nigeria |
Key Companies | Splunk, Cisco (App Dynamics), IBM Corporation, Hewlett-Packard Enterprise, VMware Inc, HCL, Dynatrace, MoogSoft, CA Technologies, Big Panda Inc and Others. |
The AIOps Platform Market - Growth Factor
The need for AIOps platforms increased as a result of the growing adoption of cloud platforms by many associations of various verticals, such as banking, e-commerce, healthcare, and others, which in turn boosted growth. The AIOps platform combines a variety of artificial intelligence techniques, including automation, machine learning, research, and others. Machine learning technology is now widely employed in a variety of systems that are used in daily life, including recommender systems, image recognition systems, and voice recognition systems. The demand for machine learning has increased as a result of this growing application. Additionally, the development of image recognition systems has improved system accuracy, which will raise need for machine learning in the coming years.
The AIOps Platform Market – Market Trends
• The need for the AIOps platform was spurred by the growing adoption of cloud platforms by several organizations across multiple verticals, including banking, e-commerce, healthcare, and others. Analysis by Coherent Market Insights indicates that in 2016, cloud data centers handled 86% of the workload, compared to conventional data centers’ 14%.
• Additionally, the global cloud data traffic generated 6.0 ZB of data each year by 2016 and is projected to reach 19.5 ZB by 2021. As a result, a key driver driving the growth of the worldwide AIOPs platform market is the rising adoption of cloud platforms.
• Additionally, the demand for analytics solutions has increased due to the data's exponential growth, which is anticipated to drive the market for AIOps platforms. For instance, an analysis by Coherent Market Insights predicts that by 2020, IOT technologies would produce 600 zetabytes of data.
The AIOps Platform Market – Segmentation
The AIOps Platform Market fragrance concentrates market has been sub-classified into vertical, type, application.
The demand for AI Ops (Artificial Intelligence Operations) in the retail industry has been increasing in recent years, driven by the need to improve operational efficiency, reduce costs, and enhance the overall customer experience.
One of the primary drivers of this demand is the increasing amount of data generated by the retail industry, including sales data, inventory data, customer data, and more. With so much data to manage, AI Ops can help retailers make sense of it all, by providing insights and predictions that can be used to optimize processes and improve decision-making.
AI Ops can also help retailers automate certain processes, such as inventory management, supply chain management, and pricing optimization, which can reduce costs and improve operational efficiency.
Moreover, AI Ops can help retailers improve the customer experience, by providing personalized recommendations, targeted marketing, and proactive support. For example, AI-powered chatbots can help customers quickly find the products they are looking for, answer their questions, and resolve their issues, leading to increased customer satisfaction and loyalty.
To meet the growing demand for AI Ops in the retail industry, vendors are increasingly developing innovative products and services that are tailored to the needs of retailers. These products and services can include AI-powered analytics platforms, chatbots, and other automation tools that can be integrated with existing retail systems and processes.
Overall, the demand for AI Ops in the retail industry is expected to continue to grow in the coming years, driven by the need to improve operational efficiency, reduce costs, and enhance the customer experience.
The AIOps Platform Market –Regional Analysis
North America dominated the global AIOps Market, is anticipated to dominate the global AIOps platforms market throughout the forecast period due to the presence of numerous large players. The market for AIOps platforms is also being supported by growing government initiatives for the local development of AIOPs systems. By introducing initiatives like the National Artificial Intelligence Research and Development and smart city programmes across many districts, they are advancing the current IT infrastructure. However, based on dynamic shifts in the acceptance of automation in various business areas, Asia Pacific is anticipated to develop at the highest CAGR throughout the projected time frame.
The adoption of AIOps (Artificial Intelligence Operations) in Africa is still in its early stages, but the trend is growing. Many organizations in Africa are recognizing the benefits of AIOps, including increased efficiency, improved reliability, and reduced costs.
One of the primary drivers of the adoption of AIOps in Africa is the increasing amount of data generated by businesses on the continent. With so much data to manage, AIOps can help organizations make sense of it all, by providing insights and predictions that can be used to optimize processes and improve decision-making.
Another driver of the adoption of AIOps in Africa is the need for businesses to stay competitive in a rapidly changing market. By leveraging AIOps, organizations can automate certain processes, such as monitoring and managing IT systems and applications, which can improve efficiency, reduce downtime, and increase productivity.
Moreover, AIOps can help businesses in Africa improve customer experience and satisfaction, by providing personalized recommendations, targeted marketing, and proactive support. This is particularly important in a market where customers are becoming more demanding and expect businesses to deliver high-quality services quickly and efficiently.
To facilitate the adoption of AIOps in Africa, vendors are increasingly developing innovative products and services that are tailored to the needs of African businesses. These products and services can include AIOps-powered analytics platforms, chatbots, and other automation tools that can be integrated with existing business systems and processes.
Overall, while the adoption of AIOps in Africa is still in its early stages, the trend is growing, and businesses on the continent are recognizing the benefits of this technology. As more businesses adopt AIOps, we can expect to see increased efficiency, improved reliability, and reduced costs across many industries in Africa.
The AIOps Platform Market – Key Market players
Global key players of AIOps Platform Market include Splunk, Cisco (App Dynamics), IBM Corporation, Hewlett-Packard Enterprise, VMware Inc, HCL, Dynatrace, MoogSoft, CA Technologies, Big Panda Inc and Others.
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On the basis of vertical, the AIOps Platform Market is bifurcated into:
• BFSI
• Telecom and IT
• Healthcare and life sciences
• Retail
• Consumer goods
• others
On the basis of application, the market is segmented into:
• Real-time analytics
• Network performance management (NPM)
• Application performance management (APM)
• Infrastructure management
• others
On the basis of by type, the market segmented into:
• On-premise
• Cloud
• others
Regions
North America
· U.S.
· Canada
· Mexico
Europe
· Germany
· U.K.
· France
· Italy
· Spain
· Russia
· Rest of Europe
Asia Pacific
· China
· Japan
· India
· Australia
· Korea
· Rest of Asia pacific
South America
· Brazil
· Argentina
· Colombia
· Rest of South America
Middle East & Africa
· UAE
· Saudi Arabia
· Egypt
· Oman
· Kuwait
· South Africa
· Rest of MEA
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