The term AIOps which means “algorithmic IT operations” was coined by a research firm refers to the integration of analytics and machine learning for scaling and improving various IT operations. AIOps is positioned as continuous integration and continuous deployment for core IT functions and has two main components — big data and ML. Artificial intelligence for IT operations (AIOps) is an umbrella term for the use of big data analytics, machine learning and other artificial intelligence (AI) technologies to automate the identification and resolution of common information technology issues. The systems, services, and applications in a large enterprise produce immense volumes of log and performance data.
The Global AI Ops Platform Market is expected to reach USD 18.51 billion by 2026 from USD 1.76 billion and is projected to grow at a CAGR of 34.2% in the forecast to 2026.
The renowned players in this market are CA Technologies , BMC Software , Citrix Systems, New Relic, AppDynamics., Dynatrace LLC, SolarWinds Worldwide, LLC, Sumo Logic, DeepMind Technologies , iCarbonX, Next IT, Salesforce, ViSenze, AIBrain, ANKI., LogRhythm, TABLEAU SOFTWARE, Datadog, Cloudera, Micro Focus , Moogsoft, Palo Alto Networks, Inc. and many more.
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This AI Ops Platform market report comprises of the most recent market information with which companies can have in depth analysis of the industry and future trends. By applying market intelligence for this report, industry experts assess strategic options, outline successful action plans and support companies with critical bottom-line decisions. Competitive analysis studies of this market report helps to get ideas about the strategies of key players in the market. Not to mention, the scope of this market report can be broadened from market scenarios to comparative pricing between major players, cost and profit of the specified market regions.
Major countries covered in this report are
U.S., Canada, Germany, France, U.K., Netherlands, Switzerland, Turkey, Russia, China, India, South Korea, Japan, Australia, Singapore, South Africa, and Brazil among others.
Major Points from Table of Content:
Part 01: Executive Summary
Part 02: Scope of The Report
Part 03: Global AI Ops Platform Market Landscape
Part 04: Global AI Ops Platform Market Sizing
Part 05: Global AI Ops Platform Market Segmentation by Product
Part 06: Five Forces Analysis
Part 07: Customer Landscape
Part 08: Geographic Landscape
Part 09: Decision Framework
Part 10: Drivers and Challenges
Part 11: Market Trends
Part 12: Vendor Landscape
Part 13: Vendor Analysis
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Component of AI Ops Platform Market
Organization Size of AI Ops Platform Market
- Mid-size companies
- Large enterprises.
Deployment Mode of AI Ops Platform Market
Application of AI Ops Platform Market
- Real-time analytics,
- Application performance management,
- Infrastructure management,
- Network and security management
Geography of AI Ops Platform Market
- North America,
- South America,
- Middle East & Africa
Market Drivers and Restraints:
- Increasing connectivity in the IT operations.
- Growing demand for image recognition system.
- It is used for growth of data, which increased the demand for analytics solutions.
- Increasing government initiatives that boost the artificial intelligence in IT solutions.
- Distortion due to virus attack to the system.
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Key insights in the report:
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