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Artificial Intelligence for IT Operations (AIOps) Platform Market Size & Outlook, 2022-2030

Artificial Intelligence for IT Operations (AIOps) Platform Market Size, Share & Trends Analysis Report By Offering (Platform, Services), By Deployment Mode (On-Premises, Cloud), By Organization Size (Large Enterprises, Small and Medium-Sized Enterprises (SMEs)), By Application (Infrastructure Management, Application Performance Analysis, Software Asset Management, Network and Security Management, Others), By Vertical (BFSI (Banking, Financial Services, and Insurance), Healthcare and Life Science, Retail and E-Commerce, IT and Telecom, Energy and Utilities, Government and Public Sector, Media and Entertainment, Others) and By Region (North America, Europe, APAC, Middle East and Africa, LATAM) Forecasts, 2022-2030

Report Code: SRTE3379DR
Last Updated: Dec, 2022
Pages: 110
Author: Pavan Warade
Format: PDF, Excel

Research Methodology – Artificial Intelligence for IT Operations (AIOps) Platform Market

At Straits Research, we adopt a rigorous 360° research approach that integrates both primary and secondary research methodologies. This ensures accuracy, reliability, and actionable insights for stakeholders. Our methodology for the Artificial Intelligence for IT Operations (AIOps) Platform Market comprises the following key stages:


Market Indicator & Macro-Factor Analysis

Our baseline thesis for the Artificial Intelligence for IT Operations (AIOps) Platform Market is developed by integrating key market indicators and macroeconomic variables. These include:

1 Factors considered while calculating market size and share

  • The current market size including global and regional markets.
  • Expected technological advancements and their probable impact on market growth.
  • The number of current users and potential customer base.
  • Company sales, revenue, and growth rate.
  • Investments, mergers, acquisitions, and strategic alliances in the sector.
  • Competitive landscape and availability of similar solutions.
  • Regulatory environment and its impact on market dynamics.

2 Key Market Indicators

  • Adoption trends of AIOps across different sectors.
  • Revenue growth and profitability of key market players.
  • Market share of different AIOps platforms.
  • Growth rate of IT infrastructure and operations.
  • Number of new entrants and their market share.
  • Rate of investment in the AI industry.

3 Growth Trends

  • Increasing adoption of AI in IT operations.
  • Growth in digital transformation strategies across businesses.
  • Increasing demand for Artificial intelligence as a service (AIaaS).
  • Increase in cloud-based services and applications.
  • Growth in machine learning and deep learning technologies.
  • Emergence of edge computing.

Secondary Research

Our secondary research forms the foundation of market understanding and scope definition. We collect and analyze information from multiple reliable sources to map the overall ecosystem of the Artificial Intelligence for IT Operations (AIOps) Platform Market. Key inputs include:

Company-Level Information
  • Annual reports, investor presentations, SEC filings
  • Company press releases and product launch announcements
  • Public executive interviews and earnings calls
  • Strategy briefings and M&A updates
Industry and Government Sources
  • Country-level industry associations and trade bodies
  • Government dossiers, policy frameworks, and official releases
  • Whitepapers, working papers, and public R&D initiatives
  • Relevant Associations for the Artificial Intelligence for IT Operations (AIOps) Platform Market
Market Intelligence Sources
  • Broker reports and financial analyst coverage
  • Paid databases (Hoovers, Factiva, Refinitiv, Reuters, Statista, etc.)
  • Import/export trade data and tariff databases
  • Sector-specific journals, magazines, and news portals
Macro & Consumer Insights
  • Global macroeconomic indicators and their cascading effect on the industry
  • Demand–supply outlook and value chain analysis
  • Consumer behaviour, adoption rates, and commercialization trends

Primary Research

To validate and enrich our secondary findings, we conduct extensive primary research with industry stakeholders across the value chain. This ensures we capture both qualitative insights and quantitative validation. Our primary research includes:

Expert Insights & KOL Engagements
  • Key Opinion Leader (KOL) Engagements
  • Structured interviews with executives, product managers, and domain experts
  • Paid and barter-based interviews across manufacturers, distributors, and end-users
Focused Discussions & Panels
  • Discussions with stakeholders to validate demand-supply gaps
  • Group discussions on emerging technologies, regulatory shifts, and adoption barriers
Data Validation & Business POV
  • Cross-verification of market sizing and forecasts with industry insiders
  • Capturing business perspectives on growth opportunities and restraints

Data Triangulation & Forecasting

The final step of our research involves data triangulation ensuring accuracy through cross-verification of:

  • Demand-side analysis (consumption patterns, adoption trends, customer spending)
  • Supply-side analysis (production, capacity, distribution, and market availability)
  • Macroeconomic & microeconomic impact factors
Forecasting is carried out using proprietary models that combine:
  • Time-series analysis
  • Regression and correlation studies
  • Baseline modeling
  • Expert validation at each stage

Outcome

The outcome is a comprehensive and validated market model that captures:

  • Market sizing (historical, current, forecast)
  • Growth drivers and restraints
  • Opportunity mapping and investment hotspots
  • Competitive positioning and strategic insights

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