AIOps Platform Market by Component (Platform, Services), Deployment (Cloud, On-premise), Organization Size, Application, Industry Vertical - Global Forecast 2023-2030
The AIOps Platform Market is projected to reach USD 53.50 billion by 2030 from USD 11.12 billion in 2022, at a CAGR of 21.69% during the forecast period.
Market Segmentation & Coverage:
This research report analyzes various sub-markets, forecasts revenues, and examines emerging trends in each category to provide a comprehensive outlook on the AIOps Platform Market.
- Based on Component, market is studied across Platform and Services. The Platform is projected to witness significant market share during forecast period.
- Based on Deployment, market is studied across Cloud and On-premise. The Cloud is projected to witness significant market share during forecast period.
- Based on Organization Size, market is studied across Large Enterprises and Small & Medium Enterprises. The Large Enterprises is projected to witness significant market share during forecast period.
- Based on Application, market is studied across Application Performance Analysis, Infrastructure Management, Network & Security Management, and Real-Time Analytics. The Network & Security Management is projected to witness significant market share during forecast period.
- Based on Industry Vertical, market is studied across BFSI, Energy & Utilities, Government & Public Sector, Healthcare & Life Sciences, IT & Telecom, Media & Entertainment, and Retail & eCommerce. The BFSI is projected to witness significant market share during forecast period.
- Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom. The Asia-Pacific is projected to witness significant market share during forecast period.
The report provides market sizing and forecasts across 7 major currencies - USD, EUR, JPY, GBP, AUD, CAD, and CHF; multiple currency support helps organization leaders to make well-informed decisions. In this report, 2018 to 2021 are considered as historical years, 2022 is base year, 2023 is estimated year, and years from 2024 to 2030 are considered as forecast period.
FPNV Positioning Matrix:
The FPNV Positioning Matrix is an indispensable tool for assessing the AIOps Platform Market. It comprehensively evaluates vendors, analyzing key metrics related to Business Strategy and Product Satisfaction. This enables users to make informed decisions tailored to their specific needs. Through advanced analysis, vendors are categorized into four distinct quadrants, each representing a different level of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V). Be assured that this insightful framework empowers decision-makers to navigate the market with confidence.
Market Share Analysis:
The Market Share Analysis offers invaluable insights into the vendor landscape AIOps Platform Market. By evaluating their impact on overall revenue, customer base, and other key metrics, we provide companies with a comprehensive understanding of their performance and the competitive environment they confront. This analysis also uncovers the level of competition in terms of market share acquisition, fragmentation, dominance, and industry consolidation during the study period.
Key Company Profiles:
The report delves into recent significant developments in the AIOps Platform Market, highlighting leading vendors and their innovative profiles. These include AIMS Innovation., Big Panda Inc, BMC Software, Inc., Broadcom Inc., Cisco Systems, Inc., Dynatrace, Inc., Elasticsearch B.V., HCL Technologies Limited, Infosys Ltd., International Business Machines Corporation, LogicMonitor Inc., Masergy Communications, Inc., MeshIQ, Micro Focus International Limited by OpenText Corporation, MoogSoft by Dell Inc., Netreo Inc., New Relic, Inc., OpsRamp by Hewlett Packard Enterprise Company, PagerDuty, Inc., ProphetStor Data Services, Inc., Red Hat, Inc., Splunk Inc., StackState B.V., Tata Consultancy Services Limited, VMware, Inc, and VuNet Systems.
The report offers valuable insights on the following aspects:
- Market Penetration: It provides comprehensive information about key players' market dynamics and offerings.
- Market Development: In-depth analysis of emerging markets and penetration across mature market segments, highlighting lucrative opportunities.
- Market Diversification: Detailed information about new product launches, untapped geographies, recent developments, and investments.
- Competitive Assessment & Intelligence: Exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of leading players.
- Product Development & Innovation: Intelligent insights on future technologies, R&D activities, and breakthrough product developments.
- What is the market size and forecast for the AIOps Platform Market?
- Which products, segments, applications, and areas hold the highest investment potential in the AIOps Platform Market?
- What is the competitive strategic window for identifying opportunities in the AIOps Platform Market?
- What are the latest technology trends and regulatory frameworks in the AIOps Platform Market?
- What is the market share of the leading vendors in the AIOps Platform Market?
- Which modes and strategic moves are suitable for entering the AIOps Platform Market?
Note: PDF & Excel + Online Access - 1 Year
- 1. Preface
- 1.1. Objectives of the Study
- 1.2. Market Segmentation & Coverage
- 1.3. Years Considered for the Study
- 1.4. Currency & Pricing
- 1.5. Language
- 1.6. Limitations
- 1.7. Assumptions
- 1.8. Stakeholders
- 2. Research Methodology
- 2.1. Define: Research Objective
- 2.2. Determine: Research Design
- 2.3. Prepare: Research Instrument
- 2.4. Collect: Data Source
- 2.5. Analyze: Data Interpretation
- 2.6. Formulate: Data Verification
- 2.7. Publish: Research Report
- 2.8. Repeat: Report Update
- 3. Executive Summary
- 4. Market Overview
- 4.1. Introduction
- 4.2. AIOps Platform Market, by Region
- 5. Market Insights
- 5.1. Market Dynamics
- 5.1.1. Drivers
- 5.1.1.1. Rapidly growing IT infrastructure and rising IT complexities
- 5.1.1.2. Increasing need for enhanced solutions to address specific needs
- 5.1.1.3. Exponential availability and usage of collected data
- 5.1.2. Restraints
- 5.1.2.1. Complexities in implementing and maintaining AIOps platforms
- 5.1.3. Opportunities
- 5.1.3.1. Launch of advanced AIOps platforms to enhance automation
- 5.1.3.2. Growing applications of AI and shift towards proactive IT operations
- 5.1.4. Challenges
- 5.1.4.1. Data security and privacy concerns associated with AIOps integration
- 5.2. Market Segmentation Analysis
- 5.3. Market Trend Analysis
- 5.4. Cumulative Impact of COVID-19
- 5.5. Cumulative Impact of Russia-Ukraine Conflict
- 5.6. Cumulative Impact of High Inflation
- 5.7. Porter’s Five Forces Analysis
- 5.7.1. Threat of New Entrants
- 5.7.2. Threat of Substitutes
- 5.7.3. Bargaining Power of Customers
- 5.7.4. Bargaining Power of Suppliers
- 5.7.5. Industry Rivalry
- 5.8. Value Chain & Critical Path Analysis
- 5.9. Regulatory Framework
- 5.10. Client Customization
- 6. AIOps Platform Market, by Component
- 6.1. Introduction
- 6.2. Platform
- 6.3. Services
- 7. AIOps Platform Market, by Deployment
- 7.1. Introduction
- 7.2. Cloud
- 7.3. On-premise
- 8. AIOps Platform Market, by Organization Size
- 8.1. Introduction
- 8.2. Large Enterprises
- 8.3. Small & Medium Enterprises
- 9. AIOps Platform Market, by Application
- 9.1. Introduction
- 9.2. Application Performance Analysis
- 9.3. Infrastructure Management
- 9.4. Network & Security Management
- 9.5. Real-Time Analytics
- 10. AIOps Platform Market, by Industry Vertical
- 10.1. Introduction
- 10.2. BFSI
- 10.3. Energy & Utilities
- 10.4. Government & Public Sector
- 10.5. Healthcare & Life Sciences
- 10.6. IT & Telecom
- 10.7. Media & Entertainment
- 10.8. Retail & eCommerce
- 11. Americas AIOps Platform Market
- 11.1. Introduction
- 11.2. Argentina
- 11.3. Brazil
- 11.4. Canada
- 11.5. Mexico
- 11.6. United States
- 12. Asia-Pacific AIOps Platform Market
- 12.1. Introduction
- 12.2. Australia
- 12.3. China
- 12.4. India
- 12.5. Indonesia
- 12.6. Japan
- 12.7. Malaysia
- 12.8. Philippines
- 12.9. Singapore
- 12.10. South Korea
- 12.11. Taiwan
- 12.12. Thailand
- 12.13. Vietnam
- 13. Europe, Middle East & Africa AIOps Platform Market
- 13.1. Introduction
- 13.2. Denmark
- 13.3. Egypt
- 13.4. Finland
- 13.5. France
- 13.6. Germany
- 13.7. Israel
- 13.8. Italy
- 13.9. Netherlands
- 13.10. Nigeria
- 13.11. Norway
- 13.12. Poland
- 13.13. Qatar
- 13.14. Russia
- 13.15. Saudi Arabia
- 13.16. South Africa
- 13.17. Spain
- 13.18. Sweden
- 13.19. Switzerland
- 13.20. Turkey
- 13.21. United Arab Emirates
- 13.22. United Kingdom
- 14. Competitive Landscape
- 14.1. FPNV Positioning Matrix
- 14.2. Market Share Analysis, By Key Player
- 14.3. Competitive Scenario Analysis, By Key Player
- 15. Competitive Portfolio
- 15.1. Key Company Profiles
- 15.1.1. AIMS Innovation.
- 15.1.2. Big Panda Inc
- 15.1.3. BMC Software, Inc.
- 15.1.4. Broadcom Inc.
- 15.1.5. Cisco Systems, Inc.
- 15.1.6. Dynatrace, Inc.
- 15.1.7. Elasticsearch B.V.
- 15.1.8. HCL Technologies Limited
- 15.1.9. Infosys Ltd.
- 15.1.10. International Business Machines Corporation
- 15.1.11. LogicMonitor Inc.
- 15.1.12. Masergy Communications, Inc.
- 15.1.13. MeshIQ
- 15.1.14. Micro Focus International Limited by OpenText Corporation
- 15.1.15. MoogSoft by Dell Inc.
- 15.1.16. Netreo Inc.
- 15.1.17. New Relic, Inc.
- 15.1.18. OpsRamp by Hewlett Packard Enterprise Company
- 15.1.19. PagerDuty, Inc.
- 15.1.20. ProphetStor Data Services, Inc.
- 15.1.21. Red Hat, Inc.
- 15.1.22. Splunk Inc.
- 15.1.23. StackState B.V.
- 15.1.24. Tata Consultancy Services Limited
- 15.1.25. VMware, Inc
- 15.1.26. VuNet Systems
- 15.2. Key Product Portfolio
- 16. Appendix
- 16.1. Discussion Guide
- 16.2. License & Pricing
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