AIOps
Platform Market Size, Share, Growth, Trends Report and Forecast to 2028

The global market
for AIOps Platform is projected to grow from USD 11.7 billion in 2023 to USD
32.4 billion by 2028, at a CAGR of 22.7% during the forecast period, according to
new research report by MarketsandMarkets™

AIOps platforms are
being adopted across various verticals to optimize IT operations and drive
business success. In finance and banking, AIOps aids in fraud detection and real-time
transaction monitoring. Healthcare benefits from improved patient data
management and diagnostics. Retail and e-commerce use AIOps for demand
forecasting and personalized customer experiences. Telecommunications enhances
network performance and customer satisfaction. Manufacturing optimizes
production with predictive maintenance. Governments improve citizen services
and cybersecurity. Energy and utilities optimize distribution and predict
maintenance needs. Transportation and logistics streamline operations for
cost-effective efficiency.

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Healthcare &
Lifesciences to account for higher CAGR during the forecast period

Healthcare and life
sciences are adopting AIOps platforms to revolutionize patient care and
research. AIOps efficiently manages patient data, enhances diagnostic accuracy,
and accelerates drug discovery. Real-time monitoring ensures timely
interventions and improves patient safety. Predictive analytics aids in
proactive care and resource allocation, reducing hospital readmissions. AIOps
automates healthcare IT management, enhancing system reliability. Additionally,
it ensures regulatory compliance and strengthens cybersecurity measures,
safeguarding patient data. By leveraging AIOps, the healthcare industry gains
access to advanced analytics, automation, and real-time insights, driving
data-driven decision-making and improved patient care.

Services Segment
to account for higher CAGR during the forecast period

The market for AIOps
Platform is bifurcated based on offering into platform and services. The CAGR
of services is estimated to be highest during the forecast period. AIOps
platforms were revolutionizing traditional IT service management practices by
introducing intelligent automation, proactive monitoring, and predictive
analytics. The shift towards AIOps was streamlining incident management,
optimizing resource allocation, and improving overall service delivery. By
leveraging AI algorithms to analyze large volumes of data, AIOps enabled faster
incident resolution, reduced downtime, and enhanced service reliability. This
transformation was empowering IT teams to be more proactive and data-driven,
thus significantly improving the efficiency and effectiveness of service
management processes.

Asia Pacific to
exhibit the highest CAGR during the forecast period

The CAGR of Asia
Pacific is estimated to be highest during the forecast period. AIOps Platform
is rapidly growing in Asia Pacific, which includes China, India, Japan, ASEAN,
South Korea and ANZ (Australia and New Zealand). AIOps adoption was growing
rapidly as businesses in the region recognized its potential to enhance IT
operations and drive digital transformation. Organizations in various
industries were embracing AIOps to optimize their IT infrastructures, improve
service reliability, and enhance customer experiences. The increasing
complexity of IT environments in the region, driven by digitalization and cloud
adoption, was fueling the demand for AIOps platforms. Additionally, the
presence of a large tech-savvy workforce and a flourishing startup ecosystem
contributed to the rapid adoption of AIOps technologies in the Asia Pacific
region.

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Key Market Players

Major vendors in the
global AIOps Platform market are IBM (US), Splunk (US), Broadcom (US), OpenText
(Canada), Dynatrace (US), Cisco (US), HCL Technologies (India), Elastic (US),
ServiceNow (US), HPE (US), Datadog (US), New Relic (US), SolarWinds (US), BMC
Software (US), ScienceLogic (US), BigPanda (US), LogicMonitor (US), Sumo Logic
(US), Moogsoft (US), Resolve Systems (US), AIMS Innovation (Norway), Interlink
Software (UK), CloudFabrix (US), PagerDuty (US), Aisera (US), ManageEngine
(US), Digitate (US), ZIF.ai (US), Autointelli (India), UST (US), Freshworks
(US), Everbridge (US), StackState (US), Logz.io (US).

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