The Artificial Intelligence for IT Operations Platform Market was valued at USD 10.9 Billion in 2023 and is expected to be worth USD 39.7 Billion by 2031, increasing at a 17.5% CAGR between 2024 and 2031.
Artificial Intelligence for IT Operations, commonly known as AIOps, is an innovative approach to technology management. By harnessing the power of machine learning and artificial intelligence, AIOps proactively identify and resolve issues before they even occur. This cutting-edge technology not only predicts when problems may arise but also swiftly resolves them. By combining the strengths of human and machine intelligence, AIOps streamline routine tasks, allowing IT professionals to focus on more critical matters. This not only reduces downtime but also improves uptime and boosts overall productivity for companies.
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Drivers
The adoption of AIOps in the IT environment fulfills the need for increased speed and agility in businesses.
Advanced machine learning algorithms continuously gather essential information in the background, enabling the generation of actionable insights.
The growing interconnectivity in IT Operations, has created a demand for advanced AI platforms, increasing need for image recognition systems, further fueling the market
In today's fast-paced business landscape, organizations strive to achieve optimal speed and agility to stay ahead of the competition. The adoption of Artificial Intelligence for IT Operations (AIOps) emerges as a game-changer, empowering businesses to meet these demands effectively. By harnessing the power of advanced machine learning algorithms, AIOps not only enhances operational efficiency but also provides valuable insights for informed decision-making. AIOps revolutionizes the IT environment by streamlining processes and automating tasks that were once time-consuming and prone to human error. With its ability to capture and analyze vast amounts of data, AIOps ensures that businesses have access to real-time information, enabling them to respond swiftly to changing market dynamics. One of the key advantages of AIOps lies in its advanced machine-learning algorithms. These algorithms work tirelessly in the background, continuously gathering and processing data from various sources. By doing so, they uncover hidden patterns, detect anomalies, and identify potential issues before they escalate into major problems. This proactive approach not only minimizes downtime but also allows IT teams to focus on strategic initiatives rather than firefighting.
Restrains
Data privacy and security concerns have become a pressing issue due to the exponential growth of data collection and storage.
The escalating complexities and dynamic nature of IT architecture.
Ever-growing intricacies and the constantly evolving nature of IT architecture, are posing significant obstacles to market growth.
Opportunities
Cloud migration and hybrid IT environments have become increasingly prevalent in today's technology landscape.
As organizations embrace cloud computing and incorporate hybrid IT setups, the complexity of their IT infrastructures grows exponentially. However, this complexity can be effectively managed and monitored through the use of AIOps platforms. AIOps platforms offer a comprehensive solution for handling diverse environments, providing real-time insights and proactive incident management. By leveraging artificial intelligence and machine learning capabilities, these platforms enable organizations to gain valuable insights into their IT Operations, ensuring smooth and efficient functioning. The rapid growth in cloud adoption has created a unique opportunity for AIOps vendors to cater to the specific needs of cloud-native and hybrid environments. As more businesses transition their operations to the cloud, the demand for AIOps solutions is expected to soar. This presents a lucrative opportunity for market growth in the foreseeable future.
Challenges
The AI Ops platform market encounters challenges stemming from a scarcity of proficient professionals.
The swift transformations occurring in IT Operations.
The Russia-Ukraine war has created a ripple effect throughout the global economy, and the AIOps market has not been immune to its consequences. The conflict has disrupted supply chains, hindered technological advancements, and caused geopolitical uncertainties, all of which have had a direct impact on the AIOps platform market. One of the primary effects of the war has been the disruption of supply chains. Many AIOps platform providers heavily rely on hardware components and software solutions from both Russia and Ukraine. With the conflict escalating, the flow of these essential resources has been severely disrupted, leading to delays in production and increased costs. Consequently, this has resulted in a slowdown in the growth of the AIOps platform market.
The war has hindered technological advancements in the AIOps industry. Both Russia and Ukraine have been at the forefront of AI research and development, with numerous innovative startups and established companies contributing to the field. However, the conflict has diverted resources and attention away from technological progress, as companies and researchers are forced to prioritize other pressing matters. As a result, the pace of innovation in the AIOps platform market has been significantly impacted. Geopolitical uncertainties arising from the war have also played a crucial role in shaping the AIOps market. The conflict has created an atmosphere of instability and unpredictability, making it challenging for businesses to make long-term investment decisions. Many organizations are hesitant to invest in AIOps platforms due to the uncertain geopolitical landscape, fearing potential disruptions and geopolitical risks. This has led to a decrease in demand for AIOps solutions.
Impact of Recessions
Companies tend to tighten their budgets during a recession, impacting their ability to invest in new technologies like AIOps platforms. This can lead to delayed or reduced spending on such solutions. Cost-saving becomes a top priority for businesses during economic downturns. While AIOps platforms can optimize operations and potentially save costs in the long run, the immediate focus might be on more immediate and direct cost-cutting measures. AIOps platforms are designed to enhance operational efficiency, streamline processes, and automate tasks. During a recession, organizations might prioritize solutions that can make their operations leaner and more efficient, potentially increasing the importance of AIOps. Some companies might opt to consolidate their IT vendors to reduce complexity and costs. AIOps vendors that offer comprehensive solutions or integrate well with existing infrastructure may stand out in such scenarios. Recessions can drive innovation as companies seek ways to do more with less. AIOps vendors that can demonstrate clear and immediate ROI, quick implementation, or innovative solutions may still find traction. Companies might postpone adoption or upgrade to newer AIOps platforms during uncertain economic climates, opting to extend the life of existing systems or delay major investments until economic conditions improve.
By Offering
Platform
Service
By Deployment Mode
Cloud
On-premise
By Application
Infrastructure Management
Application Performance Analysis
Real-Time Analytics
Network & Security Management
Others
By Organization Size
SMEs
Large Enterprises
By Vertical
BFSI
Healthcare & Life Sciences
Retail & E-commerce
IT & Telecom
Energy & Utilities
Government & Public Sector
Media & Entertainment
Others
By application segment, the market was dominated by real-time analytics, which accounted for the largest revenue share. The manufacturing industry has been actively utilizing real-time analytics to improve various aspects of their operations. This includes enhancing production quality by focusing on vendor quality, data accuracy, and cost overruns. Additionally, real-time analytics is being used to optimize lead times, such as cycle time and customer service time. Delivery reliability is also being improved through schedule adherence and vendor delivery performance. Furthermore, real-time analytics is helping businesses manage costs by reducing waste rates, improving inventory turns, simplifying systems, and enhancing overhead efficiency.
The significant market share of real-time analytics can be attributed to the growing adoption of real-time leaderboards among businesses. These leaderboards provide valuable competitive intelligence, enabling companies to make informed decisions and gain a competitive edge.
North America emerged as the dominant force in the market, capturing the largest revenue share in 2022. In the United States, there is a growing interest in AI-based investment advisory consumer applications, which aim to enhance investment decision-making. This surge can be attributed to the presence of numerous AIOps platform vendors in the region. Notably, both tech start-ups and industry giants are actively developing AIOps platforms tailored to different sectors. The region's substantial investments in research and development, coupled with its ongoing digital transformation, are also key drivers behind the widespread adoption of AIOps platforms.
The Asia Pacific region is projected to experience the highest compound annual growth rate (CAGR) throughout the forecast period. This growth can be attributed to the rapid adoption of automation across various industries in the region. Additionally, the exponential generation of vast amounts of data has paved the way for AI-based solutions and services, particularly in the realm of data analytics.
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REGIONAL COVERAGE:
North America
US
Canada
Mexico
Europe
Eastern Europe
Poland
Romania
Hungary
Turkey
Rest of Eastern Europe
Western Europe
Germany
France
UK
Italy
Spain
Netherlands
Switzerland
Austria
Rest of Western Europe
Asia Pacific
China
India
Japan
South Korea
Vietnam
Singapore
Australia
Rest of Asia Pacific
Middle East & Africa
Middle East
UAE
Egypt
Saudi Arabia
Qatar
Rest of Middle East
Africa
Nigeria
South Africa
Rest of Africa
Latin America
Brazil
Argentina
Colombia
Rest of Latin America
The major players in the market are BMC Software, Inc., VMware, Inc., Broadcom, AppDynamics, International Business Machines Corporation, Prophet Stor Data Services, Inc., Micro Focus, HCL Technologies Limited, Moogsoft, Resolve Systems, Splunk Inc., and others in final Report.
In May 2023, DataStax, a leading real-time AI company, unveiled Luna ML, a specialized support service for Kaskada Open Source. Luna ML provides customers with comprehensive assistance in harnessing modern, open-source event processing for machine learning (ML), enabling them to implement Kaskada with expert guidance from DataStax.
In May 2023, NTT, a Japan-based IT infrastructure and services company, launched SPEKTRA (Sentient Platform for Network Transformation), a global services platform for NTT-managed network solutions. This platform utilizes NTT's extensive expertise in managed services, technical resources, and cutting-edge technologies like AIOps, automation techniques, and predictive analytics. It enhances network performance, expands monitoring capabilities, and significantly improves operational efficiency to deliver superior customer solutions.
in May 2023, IBM introduced Watsonx, an innovative AI and data platform designed to empower enterprises to unlock the full potential of cutting-edge AI technologies while leveraging reliable and trustworthy data. Watsonx offers a comprehensive suite of tools and capabilities, enabling AI builders to test, train, fine-tune, and deploy various machine learning models, including the latest generative AI capabilities powered by foundation models.
| Report Attributes | Details |
| Market Size in 2023 | US$ 10.9 Billion |
| Market Size by 2031 | US$ 39.7 Billion |
| CAGR | CAGR of 17.5% From 2024 to 2031 |
| Base Year | 2023 |
| Forecast Period | 2024-2031 |
| Historical Data | 2020-2022 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Offering (Platform, Service) • By Deployment Mode (Cloud, On-premise) • By Application (Infrastructure Management, Application Performance Analysis, Real-Time Analytics, Network & Security Management, Others) • By Organization Size (SMEs, Large Enterprises) • By Vertical (BFSI, Healthcare & Life Sciences, Retail & E-commerce, IT & Telecom, Energy & Utilities, Government & Public Sector, Media & Entertainment, Others) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia, Rest of Latin America) |
| Company Profiles | BMC Software, Inc., VMware, Inc., Broadcom, AppDynamics, International Business Machines Corporation, Prophet Stor Data Services, Inc., Micro Focus, HCL Technologies Limited, Moogsoft, Resolve Systems, Splunk Inc. |
| Key Drivers | • The adoption of AIOps in the IT environment fulfills the need for increased speed and agility in businesses. • Advanced machine learning algorithms continuously gather essential information in the background, enabling the generation of actionable insights. • The growing interconnectivity in IT Operations, has created a demand for advanced AI platforms, increasing need for image recognition systems, further fueling the market |
| Market Restrain | • Data privacy and security concerns have become a pressing issue due to the exponential growth of data collection and storage. • The escalating complexities and dynamic nature of IT architecture • Ever-growing intricacies and the constantly evolving nature of IT architecture, are posing significant obstacles to market growth. |
Ans: The CAGR of the Artificial Intelligence for IT Operations Platform Market for the forecast period 2023-2030 is 17.2%.
Ans: USD 10.12 billion in 2022 is the market share of the Artificial Intelligence for IT Operations Platform Market.
Ans: The major players in the market are BMC Software, Inc., VMware, Inc., Broadcom, International Business Machines Corporation, Micro Focus, HCL Technologies Limited, and others in the final Report.
Ans: Yes, you can ask for the customization as per your business requirement.
Ans: The North America region is dominating the Artificial Intelligence for IT Operations Platform Market
Table of Contents
1.Introduction
1.1 Market Definition
1.2 Scope
1.3 Research Assumptions
2. Research Methodology
3. Market Dynamics
3.1 Drivers
3.2 Restraints
3.3 Opportunities
3.4 Challenges
4. Impact Analysis
4.1 Impact of Russia-Ukraine War
4.2 Impact of Ongoing Recession
4.2.1 Introduction
4.2.2 Impact on major economies
4.2.2.1 US
4.2.2.2 Canada
4.2.2.3 Germany
4.2.2.4 France
4.2.2.5 United Kingdom
4.2.2.6 China
4.2.2.7 japan
4.2.2.8 South Korea
4.2.2.9 Rest of the World
5. Value Chain Analysis
6. Porter’s 5 forces model
7. PEST Analysis
8. Artificial Intelligence for IT Operations Platform Market Segmentation, By Offering
8.1 Platform
8.2 Service
9. Artificial Intelligence for IT Operations Platform Market Segmentation, By Deployment Mode
9.1 Cloud
9.2 On-premise
10. Artificial Intelligence for IT Operations Platform Market Segmentation, By Application
10.1 Infrastructure Management
10.2 Application Performance Analysis
10.3 Real-Time Analytics
10.4 Network & Security Management
10.5 Others
11. Artificial Intelligence for IT Operations Platform Market Segmentation, By Organization Size
11.1 SMEs
11.2 Large Enterprises
12. Artificial Intelligence for IT Operations Platform Market Segmentation, By Vertical
12.1 BFSI
12.2 Healthcare & Life Sciences
12.3 Retail & E-commerce
12.4 IT & Telecom
12.5 Energy & Utilities
12.6 Government & Public Sector
12.7 Media & Entertainment
12.8 Others
13 Regional Analysis
13.1 Introduction
13.2 North America
13.2.1 North America Artificial Intelligence for IT Operations Platform Market By Country
13.2.2 North America Artificial Intelligence for IT Operations Platform Market By Offering
13.2.3 North America Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.2.4 North America Artificial Intelligence for IT Operations Platform Market By Application
13.2.5 North America Artificial Intelligence for IT Operations Platform Market By Organization Size
13.2.6 North America Artificial Intelligence for IT Operations Platform Market By Vertical
13.2.7 USA
13.2.7.1 USA Artificial Intelligence for IT Operations Platform Market By Offering
13.2.7.2 USA Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.2.7.3 USA Artificial Intelligence for IT Operations Platform Market By Application
13.2.7.4 USA Artificial Intelligence for IT Operations Platform Market By Organization Size
13.2.7.5 USA Artificial Intelligence for IT Operations Platform Market By Vertical
13.2.8 Canada
13.2.8.1 Canada Artificial Intelligence for IT Operations Platform Market By Offering
13.2.8.2 Canada Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.2.8.3 Canada Artificial Intelligence for IT Operations Platform Market By Application
13.2.8.4 Canada Artificial Intelligence for IT Operations Platform Market By Organization Size
13.2.8.5 Canada Artificial Intelligence for IT Operations Platform Market By Vertical
13.2.9 Mexico
13.2.9.1 Mexico Artificial Intelligence for IT Operations Platform Market By Offering
13.2.9.2 Mexico Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.2.9.3 Mexico Artificial Intelligence for IT Operations Platform Market By Application
13.2.9.4 Mexico Artificial Intelligence for IT Operations Platform Market By Organization Size
13.2.9.5 Mexico Artificial Intelligence for IT Operations Platform Market By Vertical
13.3 Europe
13.3.1 Eastern Europe
13.3.1.1 Eastern Europe Artificial Intelligence for IT Operations Platform Market By Country
13.3.1.2 Eastern Europe Artificial Intelligence for IT Operations Platform Market By Offering
13.3.1.3 Eastern Europe Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.3.1.4 Eastern Europe Artificial Intelligence for IT Operations Platform Market By Application
13.3.1.5 Eastern Europe Artificial Intelligence for IT Operations Platform Market By Organization Size
13.3.1.6 Eastern Europe Artificial Intelligence for IT Operations Platform Market By Vertical
13.3.1.7 Poland
13.3.1.7.1 Poland Artificial Intelligence for IT Operations Platform Market By Offering
13.3.1.7.2 Poland Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.3.1.7.3 Poland Artificial Intelligence for IT Operations Platform Market By Application
13.3.1.7.4 Poland Artificial Intelligence for IT Operations Platform Market By Organization Size
13.3.1.7.5 Poland Artificial Intelligence for IT Operations Platform Market By Vertical
13.3.1.8 Romania
13.3.1.8.1 Romania Artificial Intelligence for IT Operations Platform Market By Offering
13.3.1.8.2 Romania Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.3.1.8.3 Romania Artificial Intelligence for IT Operations Platform Market By Application
13.3.1.8.4 Romania Artificial Intelligence for IT Operations Platform Market By Organization Size
13.3.1.8.5 Romania Artificial Intelligence for IT Operations Platform Market By Vertical
13.3.1.9 Hungary
13.3.1.9.1 Hungary Artificial Intelligence for IT Operations Platform Market By Offering
13.3.1.9.2 Hungary Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.3.1.9.3 Hungary Artificial Intelligence for IT Operations Platform Market By Application
13.3.1.9.4 Hungary Artificial Intelligence for IT Operations Platform Market By Organization Size
13.3.1.9.5 Hungary Artificial Intelligence for IT Operations Platform Market By Vertical
13.3.1.10 Turkey
13.3.1.10.1 Turkey Artificial Intelligence for IT Operations Platform Market By Offering
13.3.1.10.2 Turkey Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.3.1.10.3 Turkey Artificial Intelligence for IT Operations Platform Market By Application
13.3.1.10.4 Turkey Artificial Intelligence for IT Operations Platform Market By Organization Size
13.3.1.10.5 Turkey Artificial Intelligence for IT Operations Platform Market By Vertical
13.3.1.11 Rest of Eastern Europe
13.3.1.11.1 Rest of Eastern Europe Artificial Intelligence for IT Operations Platform Market By Offering
13.3.1.11.2 Rest of Eastern Europe Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.3.1.11.3 Rest of Eastern Europe Artificial Intelligence for IT Operations Platform Market By Application
13.3.1.11.4 Rest of Eastern Europe Artificial Intelligence for IT Operations Platform Market By Organization Size
13.3.1.11.5 Rest of Eastern Europe Artificial Intelligence for IT Operations Platform Market By Vertical
13.3.2 Western Europe
13.3.2.1 Western Europe Artificial Intelligence for IT Operations Platform Market By Country
13.3.2.2 Western Europe Artificial Intelligence for IT Operations Platform Market By Offering
13.3.2.3 Western Europe Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.3.2.4 Western Europe Artificial Intelligence for IT Operations Platform Market By Application
13.3.2.5 Western Europe Artificial Intelligence for IT Operations Platform Market By Organization Size
13.3.2.6 Western Europe Artificial Intelligence for IT Operations Platform Market By Vertical
13.3.2.7 Germany
13.3.2.7.1 Germany Artificial Intelligence for IT Operations Platform Market By Offering
13.3.2.7.2 Germany Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.3.2.7.3 Germany Artificial Intelligence for IT Operations Platform Market By Application
13.3.2.7.4 Germany Artificial Intelligence for IT Operations Platform Market By Organization Size
13.3.2.7.5 Germany Artificial Intelligence for IT Operations Platform Market By Vertical
13.3.2.8 France
13.3.2.8.1 France Artificial Intelligence for IT Operations Platform Market By Offering
13.3.2.8.2 France Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.3.2.8.3 France Artificial Intelligence for IT Operations Platform Market By Application
13.3.2.8.4 France Artificial Intelligence for IT Operations Platform Market By Organization Size
13.3.2.8.5 France Artificial Intelligence for IT Operations Platform Market By Vertical
13.3.2.9 UK
13.3.2.9.1 UK Artificial Intelligence for IT Operations Platform Market By Offering
13.3.2.9.2 UK Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.3.2.9.3 UK Artificial Intelligence for IT Operations Platform Market By Application
13.3.2.9.4 UK Artificial Intelligence for IT Operations Platform Market By Organization Size
13.3.2.9.5 UK Artificial Intelligence for IT Operations Platform Market By Vertical
13.3.2.10 Italy
13.3.2.10.1 Italy Artificial Intelligence for IT Operations Platform Market By Offering
13.3.2.10.2 Italy Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.3.2.10.3 Italy Artificial Intelligence for IT Operations Platform Market By Application
13.3.2.10.4 Italy Artificial Intelligence for IT Operations Platform Market By Organization Size
13.3.2.10.5 Italy Artificial Intelligence for IT Operations Platform Market By Vertical
13.3.2.11 Spain
13.3.2.11.1 Spain Artificial Intelligence for IT Operations Platform Market By Offering
13.3.2.11.2 Spain Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.3.2.11.3 Spain Artificial Intelligence for IT Operations Platform Market By Application
13.3.2.11.4 Spain Artificial Intelligence for IT Operations Platform Market By Organization Size
13.3.2.11.5 Spain Artificial Intelligence for IT Operations Platform Market By Vertical
13.3.2.12 The Netherlands
13.3.2.12.1 Netherlands Artificial Intelligence for IT Operations Platform Market By Offering
13.3.2.12.2 Netherlands Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.3.2.12.3 Netherlands Artificial Intelligence for IT Operations Platform Market By Application
13.3.2.12.4 Netherlands Artificial Intelligence for IT Operations Platform Market By Organization Size
13.3.2.12.5 Netherlands Artificial Intelligence for IT Operations Platform Market By Vertical
13.3.2.13 Switzerland
13.3.2.13.1 Switzerland Artificial Intelligence for IT Operations Platform Market By Offering
13.3.2.13.2 Switzerland Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.3.2.13.3 Switzerland Artificial Intelligence for IT Operations Platform Market By Application
13.3.2.13.4 Switzerland Artificial Intelligence for IT Operations Platform Market By Organization Size
13.3.2.13.5 Switzerland Artificial Intelligence for IT Operations Platform Market By Vertical
13.3.2.14 Austria
13.3.2.14.1 Austria Artificial Intelligence for IT Operations Platform Market By Offering
13.3.2.14.2 Austria Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.3.2.14.3 Austria Artificial Intelligence for IT Operations Platform Market By Application
13.3.2.14.4 Austria Artificial Intelligence for IT Operations Platform Market By Organization Size
13.3.2.14.5 Austria Artificial Intelligence for IT Operations Platform Market By Vertical
13.3.2.15 Rest of Western Europe
13.3.2.15.1 Rest of Western Europe Artificial Intelligence for IT Operations Platform Market By Offering
13.3.2.15.2 Rest of Western Europe Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.3.2.15.3 Rest of Western Europe Artificial Intelligence for IT Operations Platform Market By Application
13.3.2.15.4 Rest of Western Europe Artificial Intelligence for IT Operations Platform Market By Organization Size
13.3.2.15.5 Rest of Western Europe Artificial Intelligence for IT Operations Platform Market By Vertical
13.4 Asia-Pacific
13.4.1 Asia Pacific Artificial Intelligence for IT Operations Platform Market By Country
13.4.2 Asia Pacific Artificial Intelligence for IT Operations Platform Market By Offering
13.4.3 Asia Pacific Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.4.4 Asia Pacific Artificial Intelligence for IT Operations Platform Market By Application
13.4.5 Asia Pacific Artificial Intelligence for IT Operations Platform Market By Organization Size
13.4.6 Asia Pacific Artificial Intelligence for IT Operations Platform Market By Vertical
13.4.7 China
13.4.7.1 China Artificial Intelligence for IT Operations Platform Market By Offering
13.4.7.2 China Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.4.7.3 China Artificial Intelligence for IT Operations Platform Market By Application
13.4.7.4 China Artificial Intelligence for IT Operations Platform Market By Organization Size
13.4.7.5 China Artificial Intelligence for IT Operations Platform Market By Vertical
13.4.8 India
13.4.8.1 India Artificial Intelligence for IT Operations Platform Market By Offering
13.4.8.2 India Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.4.8.3 India Artificial Intelligence for IT Operations Platform Market By Application
13.4.8.4 India Artificial Intelligence for IT Operations Platform Market By Organization Size
13.4.8.5 India Artificial Intelligence for IT Operations Platform Market By Vertical
13.4.9 Japan
13.4.9.1 Japan Artificial Intelligence for IT Operations Platform Market By Offering
13.4.9.2 Japan Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.4.9.3 Japan Artificial Intelligence for IT Operations Platform Market By Application
13.4.9.4 Japan Artificial Intelligence for IT Operations Platform Market By Organization Size
13.4.9.5 Japan Artificial Intelligence for IT Operations Platform Market By Vertical
13.4.10 South Korea
13.4.10.1 South Korea Artificial Intelligence for IT Operations Platform Market By Offering
13.4.10.2 South Korea Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.4.10.3 South Korea Artificial Intelligence for IT Operations Platform Market By Application
13.4.10.4 South Korea Artificial Intelligence for IT Operations Platform Market By Organization Size
13.4.10.5 South Korea Artificial Intelligence for IT Operations Platform Market By Vertical
13.4.11 Vietnam
13.4.11.1 Vietnam Artificial Intelligence for IT Operations Platform Market By Offering
13.4.11.2 Vietnam Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.4.11.3 Vietnam Artificial Intelligence for IT Operations Platform Market By Application
13.4.11.4 Vietnam Artificial Intelligence for IT Operations Platform Market By Organization Size
13.4.11.5 Vietnam Artificial Intelligence for IT Operations Platform Market By Vertical
13.4.12 Singapore
13.4.12.1 Singapore Artificial Intelligence for IT Operations Platform Market By Offering
13.4.12.2 Singapore Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.4.12.3 Singapore Artificial Intelligence for IT Operations Platform Market By Application
13.4.12.4 Singapore Artificial Intelligence for IT Operations Platform Market By Organization Size
13.4.12.5 Singapore Artificial Intelligence for IT Operations Platform Market By Vertical
13.4.13 Australia
13.4.13.1 Australia Artificial Intelligence for IT Operations Platform Market By Offering
13.4.13.2 Australia Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.4.13.3 Australia Artificial Intelligence for IT Operations Platform Market By Application
13.4.13.4 Australia Artificial Intelligence for IT Operations Platform Market By Organization Size
13.4.13.5 Australia Artificial Intelligence for IT Operations Platform Market By Vertical
13.4.14 Rest of Asia-Pacific
13.4.14.1 APAC Artificial Intelligence for IT Operations Platform Market By Offering
13.4.14.2 APAC Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.4.14.3 APAC Artificial Intelligence for IT Operations Platform Market By Application
13.4.14.4 APAC Artificial Intelligence for IT Operations Platform Market By Organization Size
13.4.14.5 APAC Artificial Intelligence for IT Operations Platform Market By Vertical
13.5 The Middle East & Africa
13.5.1 Middle East
13.5.1.1 Middle East Artificial Intelligence for IT Operations Platform Market By country
13.5.1.2 Middle East Artificial Intelligence for IT Operations Platform Market By Offering
13.5.1.3 Middle East Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.5.1.4 Middle East Artificial Intelligence for IT Operations Platform Market By Application
13.5.1.5 Middle East Artificial Intelligence for IT Operations Platform Market By Organization Size
13.5.1.6 Middle East Artificial Intelligence for IT Operations Platform Market By Vertical
13.5.1.7 UAE
13.5.1.7.1 UAE Artificial Intelligence for IT Operations Platform Market By Offering
13.5.1.7.2 UAE Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.5.1.7.3 UAE Artificial Intelligence for IT Operations Platform Market By Application
13.5.1.7.4 UAE Artificial Intelligence for IT Operations Platform Market By Organization Size
13.5.1.7.5 UAE Artificial Intelligence for IT Operations Platform Market By Vertical
13.5.1.8 Egypt
13.5.1.8.1 Egypt Artificial Intelligence for IT Operations Platform Market By Offering
13.5.1.8.2 Egypt Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.5.1.8.3 Egypt Artificial Intelligence for IT Operations Platform Market By Application
13.5.1.8.4 Egypt Artificial Intelligence for IT Operations Platform Market By Organization Size
13.5.1.8.5 Egypt Artificial Intelligence for IT Operations Platform Market By Vertical
13.5.1.9 Saudi Arabia
13.5.1.9.1 Saudi Arabia Artificial Intelligence for IT Operations Platform Market By Offering
13.5.1.9.2 Saudi Arabia Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.5.1.9.3 Saudi Arabia Artificial Intelligence for IT Operations Platform Market By Application
13.5.1.9.4 Saudi Arabia Artificial Intelligence for IT Operations Platform Market By Organization Size
13.5.1.9.5 Saudi Arabia Artificial Intelligence for IT Operations Platform Market By Vertical
13.5.1.10 Qatar
13.5.1.10.1 Qatar Artificial Intelligence for IT Operations Platform Market By Offering
13.5.1.10.2 Qatar Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.5.1.10.3 Qatar Artificial Intelligence for IT Operations Platform Market By Application
13.5.1.10.4 Qatar Artificial Intelligence for IT Operations Platform Market By Organization Size
13.5.1.10.5 Qatar Artificial Intelligence for IT Operations Platform Market By Vertical
13.5.1.11 Rest of Middle East
13.5.1.11.1 Rest of Middle East Artificial Intelligence for IT Operations Platform Market By Offering
13.5.1.11.2 Rest of Middle East Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.5.1.11.3 Rest of Middle East Artificial Intelligence for IT Operations Platform Market By Application
13.5.1.11.4 Rest of Middle East Artificial Intelligence for IT Operations Platform Market By Organization Size
13.5.1.11.5 Rest of Middle East Artificial Intelligence for IT Operations Platform Market By Vertical
13.5.2 Africa
13.5.2.1 Africa Artificial Intelligence for IT Operations Platform Market By Country
13.5.2.2 Africa Artificial Intelligence for IT Operations Platform Market By Offering
13.5.2.3 Africa Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.5.2.4 Africa Artificial Intelligence for IT Operations Platform Market By Application
13.5.2.5 Africa Artificial Intelligence for IT Operations Platform Market By Organization Size
13.5.2.6 Africa Artificial Intelligence for IT Operations Platform Market By Vertical
13.5.2.7 Nigeria
13.5.2.7.1 Nigeria Artificial Intelligence for IT Operations Platform Market By Offering
13.5.2.7.2 Nigeria Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.5.2.7.3 Nigeria Artificial Intelligence for IT Operations Platform Market By Application
13.5.2.7.4 Nigeria Artificial Intelligence for IT Operations Platform Market By Organization Size
13.5.2.7.5 Nigeria Artificial Intelligence for IT Operations Platform Market By Vertical
13.5.2.8 South Africa
13.5.2.8.1 South Africa Artificial Intelligence for IT Operations Platform Market By Offering
13.5.2.8.2 South Africa Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.5.2.8.3 South Africa Artificial Intelligence for IT Operations Platform Market By Application
13.5.2.8.4 South Africa Artificial Intelligence for IT Operations Platform Market By Organization Size
13.5.2.8.5 South Africa Artificial Intelligence for IT Operations Platform Market By Vertical
13.5.2.9 Rest of Africa
13.5.2.9.1 Rest of Africa Artificial Intelligence for IT Operations Platform Market By Offering
13.5.2.9.2 Rest of Africa Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.5.2.9.3 Rest of Africa Artificial Intelligence for IT Operations Platform Market By Application
13.5.2.9.4 Rest of Africa Artificial Intelligence for IT Operations Platform Market By Organization Size
13.5.2.9.5 Rest of Africa Artificial Intelligence for IT Operations Platform Market By Vertical
13.6 Latin America
13.6.1 Latin America Artificial Intelligence for IT Operations Platform Market By Country
13.6.2 Latin America Artificial Intelligence for IT Operations Platform Market By Offering
13.6.3 Latin America Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.6.4 Latin America Artificial Intelligence for IT Operations Platform Market By Application
13.6.5 Latin America Artificial Intelligence for IT Operations Platform Market By Organization Size
13.6.6 Latin America Artificial Intelligence for IT Operations Platform Market By Vertical
13.6.7 Brazil
13.6.7.1 Brazil Artificial Intelligence for IT Operations Platform Market By Offering
13.6.7.2 Brazil Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.6.7.3 Brazil Artificial Intelligence for IT Operations Platform Market By Application
13.6.7.4 Brazil Artificial Intelligence for IT Operations Platform Market By Organization Size
13.6.7.5 Brazil Artificial Intelligence for IT Operations Platform Market By Vertical
13.6.8 Argentina
13.6.8.1 Argentina Artificial Intelligence for IT Operations Platform Market By Offering
13.6.8.2 Argentina Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.6.8.3 Argentina Artificial Intelligence for IT Operations Platform Market By Application
13.6.8.4 Argentina Artificial Intelligence for IT Operations Platform Market By Organization Size
13.6.8.5 Argentina Artificial Intelligence for IT Operations Platform Market By Vertical
13.6.9 Colombia
13.6.9.1 Colombia Artificial Intelligence for IT Operations Platform Market By Offering
13.6.9.2 Colombia Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.6.9.3 Colombia Artificial Intelligence for IT Operations Platform Market By Application
13.6.9.4 Colombia Artificial Intelligence for IT Operations Platform Market By Organization Size
13.6.9.5 Colombia Artificial Intelligence for IT Operations Platform Market By Vertical
13.6.10 Rest of Latin America
13.6.10.1 Rest of Latin America Artificial Intelligence for IT Operations Platform Market By Offering
13.6.10.2 Rest of Latin America Artificial Intelligence for IT Operations Platform Market By Deployment Mode
13.6.10.3 Rest of Latin America Artificial Intelligence for IT Operations Platform Market By Application
13.6.10.4 Rest of Latin America Artificial Intelligence for IT Operations Platform Market By Organization Size
13.6.10.5 Rest of Latin America Artificial Intelligence for IT Operations Platform Market By Vertical
14 Company Profile
14.1 BMC Software, Inc.
14.1.1 Company Overview
14.1.2 Financials
14.1.3 Product/Services/Offerings
14.1.4 SWOT Analysis
14.1.5 The SNS View
14.2 VMware, Inc.
14.2.1 Company Overview
14.2.2 Financials
14.2.3 Product/Services/Offerings
14.2.4 SWOT Analysis
14.2.5 The SNS View
14.3 Broadcom.
14.3.1 Company Overview
14.3.2 Financials
14.3.3 Product/Services/Offerings
14.3.4 SWOT Analysis
14.3.5 The SNS View
14.4 AppDynamics.
14.4.1 Company Overview
14.4.2 Financials
14.4.3 Product/Services/Offerings
14.4.4 SWOT Analysis
14.4.5 The SNS View
14.5 International Business Machines Corporation
14.5.1 Company Overview
14.5.2 Financials
14.5.3 Product/Services/Offerings
14.5.4 SWOT Analysis
14.5.5 The SNS View
14.6 Prophet Stor Data Services Inc.
14.6.1 Company Overview
14.6.2 Financials
14.6.3 Product/Services/Offerings
14.6.4 SWOT Analysis
14.6.5 The SNS View
14.7 Micro Focus
14.7.1 Company Overview
14.7.2 Financials
14.7.3 Product/Services/Offerings
14.7.4 SWOT Analysis
14.7.5 The SNS View
14.8 HCL Technologies Limited.
14.8.1 Company Overview
14.8.2 Financials
14.8.3 Product/Services/Offerings
14.8.4 SWOT Analysis
14.8.5 The SNS View
14.9 Moogsoft.
14.9.1 Company Overview
14.9.2 Financials
14.9.3 Product/Services/Offerings
14.9.4 SWOT Analysis
14.9.5 The SNS View
14.10 Resolve Systems.
14.10.1 Company Overview
14.10.2 Financials
14.10.3 Product/Services/Offerings
14.10.4 SWOT Analysis
14.10.5 The SNS View
15. Competitive Landscape
15.1 Competitive Benchmarking
15.2 Market Share Analysis
15.3 Recent Developments
15.3.1 Industry News
15.3.2 Company News
15.3.3 Mergers & Acquisitions
16. USE Cases and Best Practices
17. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
The Video Analytics Market size was valued at USD 9.14 billion in 2023 and is expected to grow to USD 38.89 billion by 2031 and grow at a CAGR of 19.84% over the forecast period of 2024-2031.
The Video Conferencing Software Market is Expected to grow significantly during the forecast period of 2023 to 2030.
The Cinema Camera Market size was valued at USD 291.5 million in 2022 and is expected to grow to USD 461.1 million by 2030 and grow at a CAGR of 5.9 % over the forecast period of 2023-2030.
The AI Training Dataset Market was valued at USD 1.78 billion in 2022 and is expected to increase to USD 8.27 billion by 2030, expanding at a CAGR of 21.18% between 2023 and 2030.
The Natural Language Processing Market size was valued at USD 29.1 billion in 2022 and is expected to grow to USD 415.4 billion by 2030 and grow at a CAGR of 39.42 % over the forecast period of 2023-2030.
The Data Loss Prevention (DLP) Solutions market size was valued at US$ 1.86 Bn in 2022 and is expected to reach US$ 8.90 Bn by 2030, and grow at a CAGR of 21.58% over the forecast period 2023-2030.
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