The Global AIOps Market
Cloud computing technologies are being used by businesses of all kinds and sorts, including start-ups, multinational enterprises, government organizations, and non-profit organizations, to offer a variety of services. The capacity to use basic business tools, such as customer relationship management and process planning, has grown more crucial than ever. Building a smarter organization that makes educated decisions and maximises investments to support innovations has grown more and more dependent on connecting and analyzing data in real-time. The rise of the global AIOps market is being driven by the rising demand for cloud computing as businesses strive to use the newest tools and technologies to manage and optimize their cloud-based operations.
The AI Platform for IT Operations is referred to as AIOps (Artificial Intelligence Platform for IT Operations). It provides a comprehensive perspective of the functioning of IT systems by combining automated techniques and artificial intelligence. One of the key needs that AIOps systems address is the demand for quicker, accurate IT operations. As a result, more people are using AIOPs' products and services.The application of AI in IT operations has become viable thanks to recent technical advancements. The fact that many companies are using knowledge fusion, domain-enriched machine learning (ML), and natural language processing (NLP) approaches to offer improved AIOps platforms and services is one of the major factors driving the industry. The AIOps platform automates routine IT activities using intelligent, self-learning algorithms driven by ML.
Cloud-based infrastructure is being embraced quickly in the IT sector
In recent years, there has been a sharp rise in the popularity of cloud computing. Many businesses are drawn to cloud hosting services like those offered by Microsoft Azure, Amazon Web Services, Inc., and Alphabet Inc. because of its touted characteristics including pay-per-use, self-service, high reliability, and the flexibility to scale up or down based on consumption. These benefits of cloud computing result in much cheaper IT costs, greater service quality, and quicker time to market than traditional IT solutions. Through the provision of centralised visibility across all environments, provided by AIOps solutions, IT problems may be identified and fixed more quickly. For instance, IBM, a global technology firm based in the United States, announced IBM Cloud Pak for Watson AIOps, an AIOps platform for Multicloud Management, in July 2020.
Additionally, they lack access to real-time analytics. As a result, integrating AIOps gives users access to performance data from all environments and pulls information about any outages or slowdowns that may have occurred. It automatically notifies the IT staff of reported problems, does root cause analyses, and suggests remedies. These factors are driving the Global
Growthin Interest in AI-Based Applications
Layers of algorithms are used by artificial intelligence to analyze data, comprehend spoken language, and visually identify things. These algorithms are employed in the processing of data, computation, and robotic thinking. These algorithms must be improved in order to offer better and more effective solutions for a variety of end-use applications. Researchers in artificial intelligence are always attempting to improve various algorithms. Traditional algorithms have shortcomings in terms of efficiency and accuracy. Manufacturers and technology developers have turned their attention to creating standardised algorithms as a result.
Risk mitigation is becoming more important in IT organizations
Risk determines the disruptive technology and economic environments of today. Large businesses differentiate themselves with their capacity to minimize risk and maintain company continuity without sacrificing their core offerings, given the always changing market needs and the quick speed of innovation. For IT organizations, effective risk mitigation methods are vital. In order to identify unrealized risk and danger vectors, risk mitigation techniques evaluate an organization from top to bottom. Threats from both inside and outside the company are included that could interfere with business continuity. The type of danger will determine how the business wants to lessen the effects of the risk or lessen the effects of the occurrence. Thus, in order to reduce risks and increase the value of automation investments, IT organizations are entering the global AIOps market.
Lack of reliable and adaptable AI systems
When deployed as a component of a complete safety-critical system functioning in the physical IT environment, the lack of resilience and adaptability in novel AI algorithms has serious consequences. Poor quality data is largely to blame for the fragility of AI systems. Several issues with data quality include data sparsity, faulty labeling, irrelevant or corrupted data, failure to recognize unexpected patterns, and incorrect pattern learning. Low-quality data impede effective automation procedures because the main goal of any business's AI upgrade is to boost revenues and save costs. For instance, just 15% of firms have access to the necessary data as of 2020, despite the fact that 76% of organizations want to use their data to extract economic value. Therefore, the lack of AI systems poses a threat to the market’s growth.
Market Segmentation
The Global AIOps market is segmented into Offering, Application, Deployment, Enterprise Size, Vertical, Region and Competitive Landscape. Based on Offering, the market is segmented into Platform, Service
Market Players
Recent Developments
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| Attribute | Details |
| Base Year | 2022 |
| Historic Data | 2018 – 2021 |
| Estimated Year | 2023 |
| Forecast Period | 2024 – 2028 |
| Quantitative Units | Revenue in USD Million and CAGR for 2018-2022 and 2023-2028 |
| Report coverage | Revenue forecast, company share, growth factors, and trends |
| Segments covered | Offering Application Deployment Enterprise Size Vertical |
| Regional scope | North America; Asia-Pacific; Europe; South America; Middle East & Africa |
| Country scope | United States, Canada, Mexico, China, India, Japan, South Korea, Australia, Singapore, Malaysia, Germany, United Kingdom, France, Russia, Spain, Belgium, Italy, Brazil, Colombia, Argentina, Peru, Chile, Saudi Arabia, South Africa, UAE, Israel, Turkey |
| Key companies profiled | AppDynamics, BMC Software, Inc., HCL Technologies Limited, International Business Machines Corporation, Micro Focus, Moogsoft Inc., ProphetStor Data Services, Inc., Resolve Systems, Splunk Inc., VMware, Inc. |
| Customization scope | 10% free report customization with purchase. Addition or alteration to country, regional & segment scope. |
| Pricing and purchase options | Avail customized purchase options to meet your exact research needs. Explore purchase options |
| Delivery Format | PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request) |
