Global Artificial Intelligence For IT Operations Platform 麻豆原创 Research Report 2024

Publication ID:

PB506241921

Publication Date:

June 19, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Hardware (Computing & Electronics) [3]

Computing & Electronics [4]

Description:

Artificial Intelligence for IT Operations听(AIOps) is a term coined by Gartner in 2016 as an industry category for machine learning analytics technology that enhances听IT operations analytics. Such operation tasks include automation, performance monitoring and event correlations among others.
The global Artificial Intelligence For IT Operations Platform market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduces polices and increase capital investment to support AI companies. The Digital Europe plan adopted by the European Union will allocate 鈧�9.2 billion on high-tech investments, such as supercomputing, artificial intelligence, and network security. In order to maintain its leading position, the United States will increase its investment in artificial intelligence research and development in non-defense fields, from US$1.6 billion to US$1.7 billion in 2022. According to the latest data released by IDC, global artificial intelligence revenue was US$432.8 billion in 2022, a year-on-year increase of 19.65%, including software, hardware and services.
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence For IT Operations Platform, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Artificial Intelligence For IT Operations Platform.
Report Scope
The Artificial Intelligence For IT Operations Platform market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Artificial Intelligence For IT Operations Platform 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 Artificial Intelligence For IT Operations Platform 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.
麻豆原创 Segmentation
By Company
AppDynamics
BMC Software, Inc.
Broadcom
HCL Technologies Limited
International Business Machines Corporation
Micro Focus
Moogsoft
ProphetStor Data Services, Inc.
Resolve Systems
Splunk Inc.
VMware, Inc.
Segment by Type
Platform
Service
Segment by Application
Cloud
On-Premises
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 Artificial Intelligence For IT Operations Platform 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 麻豆原创 Analysis by Type
1.2.1 Global Artificial Intelligence For IT Operations Platform 麻豆原创 Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Platform
1.2.3 Service
1.3 麻豆原创 by Application
1.3.1 Global Artificial Intelligence For IT Operations Platform 麻豆原创 Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Cloud
1.3.3 On-Premises
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Artificial Intelligence For IT Operations Platform 麻豆原创 Perspective (2019-2030)
2.2 Artificial Intelligence For IT Operations Platform Growth Trends by Region
2.2.1 Global Artificial Intelligence For IT Operations Platform 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
2.2.2 Artificial Intelligence For IT Operations Platform Historic 麻豆原创 Size by Region (2019-2024)
2.2.3 Artificial Intelligence For IT Operations Platform Forecasted 麻豆原创 Size by Region (2025-2030)
2.3 Artificial Intelligence For IT Operations Platform 麻豆原创 Dynamics
2.3.1 Artificial Intelligence For IT Operations Platform Industry Trends
2.3.2 Artificial Intelligence For IT Operations Platform 麻豆原创 Drivers
2.3.3 Artificial Intelligence For IT Operations Platform 麻豆原创 Challenges
2.3.4 Artificial Intelligence For IT Operations Platform 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top Artificial Intelligence For IT Operations Platform Players by Revenue
3.1.1 Global Top Artificial Intelligence For IT Operations Platform Players by Revenue (2019-2024)
3.1.2 Global Artificial Intelligence For IT Operations Platform Revenue 麻豆原创 Share by Players (2019-2024)
3.2 Global Artificial Intelligence For IT Operations Platform 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Artificial Intelligence For IT Operations Platform Revenue
3.4 Global Artificial Intelligence For IT Operations Platform 麻豆原创 Concentration Ratio
3.4.1 Global Artificial Intelligence For IT Operations Platform 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Artificial Intelligence For IT Operations Platform Revenue in 2023
3.5 Artificial Intelligence For IT Operations Platform Key Players Head office and Area Served
3.6 Key Players Artificial Intelligence For IT Operations Platform Product Solution and Service
3.7 Date of Enter into Artificial Intelligence For IT Operations Platform 麻豆原创
3.8 Mergers & Acquisitions, Expansion Plans
4 Artificial Intelligence For IT Operations Platform Breakdown Data by Type
4.1 Global Artificial Intelligence For IT Operations Platform Historic 麻豆原创 Size by Type (2019-2024)
4.2 Global Artificial Intelligence For IT Operations Platform Forecasted 麻豆原创 Size by Type (2025-2030)
5 Artificial Intelligence For IT Operations Platform Breakdown Data by Application
5.1 Global Artificial Intelligence For IT Operations Platform Historic 麻豆原创 Size by Application (2019-2024)
5.2 Global Artificial Intelligence For IT Operations Platform Forecasted 麻豆原创 Size by Application (2025-2030)
6 North America
6.1 North America Artificial Intelligence For IT Operations Platform 麻豆原创 Size (2019-2030)
6.2 North America Artificial Intelligence For IT Operations Platform 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Artificial Intelligence For IT Operations Platform 麻豆原创 Size by Country (2019-2024)
6.4 North America Artificial Intelligence For IT Operations Platform 麻豆原创 Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Artificial Intelligence For IT Operations Platform 麻豆原创 Size (2019-2030)
7.2 Europe Artificial Intelligence For IT Operations Platform 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Artificial Intelligence For IT Operations Platform 麻豆原创 Size by Country (2019-2024)
7.4 Europe Artificial Intelligence For IT Operations Platform 麻豆原创 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 Artificial Intelligence For IT Operations Platform 麻豆原创 Size (2019-2030)
8.2 Asia-Pacific Artificial Intelligence For IT Operations Platform 麻豆原创 Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Artificial Intelligence For IT Operations Platform 麻豆原创 Size by Region (2019-2024)
8.4 Asia-Pacific Artificial Intelligence For IT Operations Platform 麻豆原创 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 Artificial Intelligence For IT Operations Platform 麻豆原创 Size (2019-2030)
9.2 Latin America Artificial Intelligence For IT Operations Platform 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Artificial Intelligence For IT Operations Platform 麻豆原创 Size by Country (2019-2024)
9.4 Latin America Artificial Intelligence For IT Operations Platform 麻豆原创 Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Artificial Intelligence For IT Operations Platform 麻豆原创 Size (2019-2030)
10.2 Middle East & Africa Artificial Intelligence For IT Operations Platform 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Artificial Intelligence For IT Operations Platform 麻豆原创 Size by Country (2019-2024)
10.4 Middle East & Africa Artificial Intelligence For IT Operations Platform 麻豆原创 Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 AppDynamics
11.1.1 AppDynamics Company Detail
11.1.2 AppDynamics Business Overview
11.1.3 AppDynamics Artificial Intelligence For IT Operations Platform Introduction
11.1.4 AppDynamics Revenue in Artificial Intelligence For IT Operations Platform Business (2019-2024)
11.1.5 AppDynamics Recent Development
11.2 BMC Software, Inc.
11.2.1 BMC Software, Inc. Company Detail
11.2.2 BMC Software, Inc. Business Overview
11.2.3 BMC Software, Inc. Artificial Intelligence For IT Operations Platform Introduction
11.2.4 BMC Software, Inc. Revenue in Artificial Intelligence For IT Operations Platform Business (2019-2024)
11.2.5 BMC Software, Inc. Recent Development
11.3 Broadcom
11.3.1 Broadcom Company Detail
11.3.2 Broadcom Business Overview
11.3.3 Broadcom Artificial Intelligence For IT Operations Platform Introduction
11.3.4 Broadcom Revenue in Artificial Intelligence For IT Operations Platform Business (2019-2024)
11.3.5 Broadcom Recent Development
11.4 HCL Technologies Limited
11.4.1 HCL Technologies Limited Company Detail
11.4.2 HCL Technologies Limited Business Overview
11.4.3 HCL Technologies Limited Artificial Intelligence For IT Operations Platform Introduction
11.4.4 HCL Technologies Limited Revenue in Artificial Intelligence For IT Operations Platform Business (2019-2024)
11.4.5 HCL Technologies Limited Recent Development
11.5 International Business Machines Corporation
11.5.1 International Business Machines Corporation Company Detail
11.5.2 International Business Machines Corporation Business Overview
11.5.3 International Business Machines Corporation Artificial Intelligence For IT Operations Platform Introduction
11.5.4 International Business Machines Corporation Revenue in Artificial Intelligence For IT Operations Platform Business (2019-2024)
11.5.5 International Business Machines Corporation Recent Development
11.6 Micro Focus
11.6.1 Micro Focus Company Detail
11.6.2 Micro Focus Business Overview
11.6.3 Micro Focus Artificial Intelligence For IT Operations Platform Introduction
11.6.4 Micro Focus Revenue in Artificial Intelligence For IT Operations Platform Business (2019-2024)
11.6.5 Micro Focus Recent Development
11.7 Moogsoft
11.7.1 Moogsoft Company Detail
11.7.2 Moogsoft Business Overview
11.7.3 Moogsoft Artificial Intelligence For IT Operations Platform Introduction
11.7.4 Moogsoft Revenue in Artificial Intelligence For IT Operations Platform Business (2019-2024)
11.7.5 Moogsoft Recent Development
11.8 ProphetStor Data Services, Inc.
11.8.1 ProphetStor Data Services, Inc. Company Detail
11.8.2 ProphetStor Data Services, Inc. Business Overview
11.8.3 ProphetStor Data Services, Inc. Artificial Intelligence For IT Operations Platform Introduction
11.8.4 ProphetStor Data Services, Inc. Revenue in Artificial Intelligence For IT Operations Platform Business (2019-2024)
11.8.5 ProphetStor Data Services, Inc. Recent Development
11.9 Resolve Systems
11.9.1 Resolve Systems Company Detail
11.9.2 Resolve Systems Business Overview
11.9.3 Resolve Systems Artificial Intelligence For IT Operations Platform Introduction
11.9.4 Resolve Systems Revenue in Artificial Intelligence For IT Operations Platform Business (2019-2024)
11.9.5 Resolve Systems Recent Development
11.10 Splunk Inc.
11.10.1 Splunk Inc. Company Detail
11.10.2 Splunk Inc. Business Overview
11.10.3 Splunk Inc. Artificial Intelligence For IT Operations Platform Introduction
11.10.4 Splunk Inc. Revenue in Artificial Intelligence For IT Operations Platform Business (2019-2024)
11.10.5 Splunk Inc. Recent Development
11.11 VMware, Inc.
11.11.1 VMware, Inc. Company Detail
11.11.2 VMware, Inc. Business Overview
11.11.3 VMware, Inc. Artificial Intelligence For IT Operations Platform Introduction
11.11.4 VMware, Inc. Revenue in Artificial Intelligence For IT Operations Platform Business (2019-2024)
11.11.5 VMware, Inc. 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:

AppDynamics
BMC Software, Inc.
Broadcom
HCL Technologies Limited
International Business Machines Corporation
Micro Focus
Moogsoft
ProphetStor Data Services, Inc.
Resolve Systems
Splunk Inc.
VMware, Inc.

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