Global AIOps Platforms Market Research Report 2024

Publication ID:

PB505253888

Publication Date:

May 8, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

AIOps (Artificial Intelligence for IT Operations) Platforms refer to specialized tools and platforms that leverage artificial intelligence and machine learning techniques to enhance the monitoring, management, and automation of IT operations. These platforms collect and analyze vast amounts of data from various sources, including monitoring tools, logs, and metrics, to detect anomalies, identify patterns, and make intelligent predictions. AIOps Platforms provide actionable insights, automatic remediation, and proactive alerts, enabling IT teams to improve operational efficiency, reduce downtime, and enhance overall IT performance and reliability.
The global AIOps Platforms market was valued at US$ 558 million in 2023 and is anticipated to reach US$ 988.7 million by 2030, witnessing a CAGR of 8.5% during the forecast period 2024-2030.
The industry trend of AIOps Platforms is gaining momentum as organizations strive for more efficient and proactive IT operations management. The trend reflects the increasing complexity of IT environments and the need for advanced analytics capabilities to handle the growing volume and variety of data generated by IT systems. AIOps Platforms enable organizations to harness the power of artificial intelligence and machine learning to automate manual tasks, detect and diagnose issues, and optimize performance. The trend includes the integration of AIOps with existing IT operational tools and practices, such as IT service management (ITSM) and IT infrastructure monitoring (ITIM) systems, to provide a comprehensive and centralized view of IT operations. Furthermore, the industry trend emphasizes the adoption of cloud-based solutions, scalable data processing, and real-time analytics to handle the dynamic nature of modern IT environments. As IT operations become more complex and critical to business operations, the demand for AIOps Platforms is expected to grow, with continuous innovations in AI and ML technologies to improve IT operations efficiency and reliability.
This report aims to provide a comprehensive presentation of the global market for AIOps Platforms, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AIOps Platforms.
Report Scope
The AIOps Platforms market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global AIOps Platforms market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the AIOps Platforms companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Splunk
Cisco (AppDynamics)
Micro Focus
Zenoss
Moogsoft
BigPanda
LogicMonitor
ScienceLogic
Microsoft
Appnomic AppsOne
Autointelli
CloudFabrix
Federator.ai
Segment by Type
Cloud-based
On-premise
Segment by Application
Large Enterprises
SMEs
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of AIOps Platforms companies鈥� competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AIOps Platforms Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Cloud-based
1.2.3 On-premise
1.3 Market by Application
1.3.1 Global AIOps Platforms Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Large Enterprises
1.3.3 SMEs
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global AIOps Platforms Market Perspective (2019-2030)
2.2 AIOps Platforms Growth Trends by Region
2.2.1 Global AIOps Platforms Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 AIOps Platforms Historic Market Size by Region (2019-2024)
2.2.3 AIOps Platforms Forecasted Market Size by Region (2025-2030)
2.3 AIOps Platforms Market Dynamics
2.3.1 AIOps Platforms Industry Trends
2.3.2 AIOps Platforms Market Drivers
2.3.3 AIOps Platforms Market Challenges
2.3.4 AIOps Platforms Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AIOps Platforms Players by Revenue
3.1.1 Global Top AIOps Platforms Players by Revenue (2019-2024)
3.1.2 Global AIOps Platforms Revenue Market Share by Players (2019-2024)
3.2 Global AIOps Platforms Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by AIOps Platforms Revenue
3.4 Global AIOps Platforms Market Concentration Ratio
3.4.1 Global AIOps Platforms Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AIOps Platforms Revenue in 2023
3.5 AIOps Platforms Key Players Head office and Area Served
3.6 Key Players AIOps Platforms Product Solution and Service
3.7 Date of Enter into AIOps Platforms Market
3.8 Mergers & Acquisitions, Expansion Plans
4 AIOps Platforms Breakdown Data by Type
4.1 Global AIOps Platforms Historic Market Size by Type (2019-2024)
4.2 Global AIOps Platforms Forecasted Market Size by Type (2025-2030)
5 AIOps Platforms Breakdown Data by Application
5.1 Global AIOps Platforms Historic Market Size by Application (2019-2024)
5.2 Global AIOps Platforms Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America AIOps Platforms Market Size (2019-2030)
6.2 North America AIOps Platforms Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America AIOps Platforms Market Size by Country (2019-2024)
6.4 North America AIOps Platforms Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AIOps Platforms Market Size (2019-2030)
7.2 Europe AIOps Platforms Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe AIOps Platforms Market Size by Country (2019-2024)
7.4 Europe AIOps Platforms Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific AIOps Platforms Market Size (2019-2030)
8.2 Asia-Pacific AIOps Platforms Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific AIOps Platforms Market Size by Region (2019-2024)
8.4 Asia-Pacific AIOps Platforms Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America AIOps Platforms Market Size (2019-2030)
9.2 Latin America AIOps Platforms Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America AIOps Platforms Market Size by Country (2019-2024)
9.4 Latin America AIOps Platforms Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AIOps Platforms Market Size (2019-2030)
10.2 Middle East & Africa AIOps Platforms Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa AIOps Platforms Market Size by Country (2019-2024)
10.4 Middle East & Africa AIOps Platforms Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Splunk
11.1.1 Splunk Company Detail
11.1.2 Splunk Business Overview
11.1.3 Splunk AIOps Platforms Introduction
11.1.4 Splunk Revenue in AIOps Platforms Business (2019-2024)
11.1.5 Splunk Recent Development
11.2 Cisco (AppDynamics)
11.2.1 Cisco (AppDynamics) Company Detail
11.2.2 Cisco (AppDynamics) Business Overview
11.2.3 Cisco (AppDynamics) AIOps Platforms Introduction
11.2.4 Cisco (AppDynamics) Revenue in AIOps Platforms Business (2019-2024)
11.2.5 Cisco (AppDynamics) Recent Development
11.3 Micro Focus
11.3.1 Micro Focus Company Detail
11.3.2 Micro Focus Business Overview
11.3.3 Micro Focus AIOps Platforms Introduction
11.3.4 Micro Focus Revenue in AIOps Platforms Business (2019-2024)
11.3.5 Micro Focus Recent Development
11.4 Zenoss
11.4.1 Zenoss Company Detail
11.4.2 Zenoss Business Overview
11.4.3 Zenoss AIOps Platforms Introduction
11.4.4 Zenoss Revenue in AIOps Platforms Business (2019-2024)
11.4.5 Zenoss Recent Development
11.5 Moogsoft
11.5.1 Moogsoft Company Detail
11.5.2 Moogsoft Business Overview
11.5.3 Moogsoft AIOps Platforms Introduction
11.5.4 Moogsoft Revenue in AIOps Platforms Business (2019-2024)
11.5.5 Moogsoft Recent Development
11.6 BigPanda
11.6.1 BigPanda Company Detail
11.6.2 BigPanda Business Overview
11.6.3 BigPanda AIOps Platforms Introduction
11.6.4 BigPanda Revenue in AIOps Platforms Business (2019-2024)
11.6.5 BigPanda Recent Development
11.7 LogicMonitor
11.7.1 LogicMonitor Company Detail
11.7.2 LogicMonitor Business Overview
11.7.3 LogicMonitor AIOps Platforms Introduction
11.7.4 LogicMonitor Revenue in AIOps Platforms Business (2019-2024)
11.7.5 LogicMonitor Recent Development
11.8 ScienceLogic
11.8.1 ScienceLogic Company Detail
11.8.2 ScienceLogic Business Overview
11.8.3 ScienceLogic AIOps Platforms Introduction
11.8.4 ScienceLogic Revenue in AIOps Platforms Business (2019-2024)
11.8.5 ScienceLogic Recent Development
11.9 Microsoft
11.9.1 Microsoft Company Detail
11.9.2 Microsoft Business Overview
11.9.3 Microsoft AIOps Platforms Introduction
11.9.4 Microsoft Revenue in AIOps Platforms Business (2019-2024)
11.9.5 Microsoft Recent Development
11.10 Appnomic AppsOne
11.10.1 Appnomic AppsOne Company Detail
11.10.2 Appnomic AppsOne Business Overview
11.10.3 Appnomic AppsOne AIOps Platforms Introduction
11.10.4 Appnomic AppsOne Revenue in AIOps Platforms Business (2019-2024)
11.10.5 Appnomic AppsOne Recent Development
11.11 Autointelli
11.11.1 Autointelli Company Detail
11.11.2 Autointelli Business Overview
11.11.3 Autointelli AIOps Platforms Introduction
11.11.4 Autointelli Revenue in AIOps Platforms Business (2019-2024)
11.11.5 Autointelli Recent Development
11.12 CloudFabrix
11.12.1 CloudFabrix Company Detail
11.12.2 CloudFabrix Business Overview
11.12.3 CloudFabrix AIOps Platforms Introduction
11.12.4 CloudFabrix Revenue in AIOps Platforms Business (2019-2024)
11.12.5 CloudFabrix Recent Development
11.13 Federator.ai
11.13.1 Federator.ai Company Detail
11.13.2 Federator.ai Business Overview
11.13.3 Federator.ai AIOps Platforms Introduction
11.13.4 Federator.ai Revenue in AIOps Platforms Business (2019-2024)
11.13.5 Federator.ai Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details

Companies Mentioned:

Splunk
Cisco (AppDynamics)
Micro Focus
Zenoss
Moogsoft
BigPanda
LogicMonitor
ScienceLogic
Microsoft
Appnomic AppsOne
Autointelli
CloudFabrix
Federator.ai

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