Global Ai Ops Platform Market
市场规模（十亿美元）
CAGR :
% 
 Forecast Period |
2023 –2029 |
 Market Size (Base Year) |
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 Market Size (Forecast Year) |
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 CAGR |
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| Major Markets Players |
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>全球人工智能运营平台市场，按组件（实施、咨询和托管服务）、组织规模（中小型公司和大型企业）、部署模式（本地和云端）、应用程序（实时分析、应用程序性能管理、基础设施管理、网络和安全管理）、最终用户（医疗保健和生命科学、零售和消费品、IT 和电信和政府）、国家（美国、加拿大、墨西哥、巴西、阿根廷、南美洲其他地区、德国、法国、意大利、英国、比利时、西班牙、俄罗斯、土耳其、荷兰、瑞士、欧洲其他地区、日本、中国、印度、韩国、澳大利亚、新加坡、马来西亚、泰国、印度尼西亚、菲律宾、亚太其他地区、阿联酋、沙特阿拉伯、埃及、南非、以色列、中东和非洲其他地区）行业趋势和预测到 2029 年。
市场分析与洞察全球人工智能运营平台市场
Data Bridge Market Research 分析，人工智能运营平台市场在 2022-2029 年的预测期内将呈现 31.00% 的复合年增长率。Data Bridge Market Research 关于人工智能运营平台市场的报告提供了有关预计在预测期内普遍存在的各种因素的分析和见解，同时提供了它们对市场增长的影响。
IT 运营人工智能 (AIOps) 平台被认为是从 IT 运营分析 (ITOA) 发展而来的，指的是使用人工智能和机器学习功能自动执行任务和流程而无需人工干预的解决方案。平台通过将各种类型的算法应用于数据来实时收集、解释和分析大量 IT 数据。IT 运营人工智能处理实时数据，使组织能够使用各种算法检测和自动解决问题。它使企业能够深入了解其业务和 IT 运营。
推动人工智能运营平台市场发展的因素包括 IT 运营中连通性的提高、对图像识别系统的需求不断增长以及数据增长，从而增加了对分析解决方案的需求。政府不断增加的推动 IT 解决方案中人工智能的举措，以及病毒攻击造成的系统混乱，都是制约市场发展的因素。
主要市场参与者越来越多地收购先进技术，这代表着一个机会。此外，随着设备智能化，系统变得越来越复杂，数据量也不断增加，从而增加了对 IT 运营人工智能 (AIOps) 的采用。云计算在全球范围内的日益普及也推动了这些流程的自动化。因此，随着越来越多的企业转向云端，对 IT 运营人工智能 (AIOps) 平台的需求预计将上升。
However, factors such as the increasing complexities and dynamic nature of IT architecture, as well as the increasing number of changes in IT operations, are limiting market growth. The AI ops platform market faces challenges due to a lack of skilled professionals as well as rapid changes in IT operations.
This artificial intelligence operations platform market report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localised market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographical expansions, technological innovations in the market. To gain more info on artificial intelligence operations platform market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
Global Artificial Intelligence Operations Platform Market Scope and Market Size
Artificial intelligence operations platform market is segmented on the basis of component, organization size, deployment mode, application and end-user. The growth among segments helps you analyse niche pockets of growth and strategies to approach the market and determine your core application areas and the difference in your target markets.
- Based on component, the artificial intelligence operations platform market is segmented into implementation, consulting, and managed services
- Based on organization size, the artificial intelligence operations platform market is segmented into small and mid-size companies and large enterprises.
- Based on deployment mode, the artificial intelligence operations platform market is segmented on premises and cloud.
- Based on application, the artificial intelligence operations platform market is segmented into real-time analytics, application performance management, infrastructure management, network and security management.
- Based on end user, the artificial intelligence operations platform market is segmented into healthcare and life sciences, retail and consumer goods, IT and telecom, government.
Artificial intelligence Operations platform Market Country Level Analysis
The artificial intelligence operations platform market is analysed and market size, volume information is provided by country, component, organization size, deployment mode, application and end-user as referenced above.
The countries covered in the artificial intelligence operations platform market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, Israel, Egypt, South Africa, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.
North-America dominates the artificial intelligence operations platform market and will continue to flourish its trend of dominance during the forecast period due to the numerous platform vendors are present in the region. The platforms for various verticals are being developed by a number of organisations, including tech start-ups and industry behemoths. High R&D investments and ongoing digital transformation in developed economies are also important factors driving the region's adoption of platforms. Asia-Pacific will however, register the highest growth for this period due to the rapid adoption of automation across various industries. Furthermore, the rapid generation of large amounts of data has paved the way for AI-based solutions and services like data analytics.
The country section of the artificial intelligence operations platform market report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points such as consumption volumes, production sites and volumes, import export analysis, price trend analysis, cost of raw materials, down-stream and upstream value chain analysis are some of the major pointers used to forecast the market scenario for individual countries. Also, presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.
Competitive Landscape and Artificial intelligence ops platform Market Share Analysis
The artificial intelligence operations platform market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points are only related to the companies’ focus on the artificial intelligence operations platform market.
人工智能运营平台市场的一些主要参与者包括 Micro Focus、Broadcom.、BMC Software, Inc.、Moogsoft、Citrix Systems, Inc.、New Relic, Inc.、AppDynamics.、Dynatrace LLC、SolarWinds Worldwide, LLC、Sumo Logic、DeepMind Technologies Limited、iCarbonX、Next IT、Salesforce、ViSenze、AIBrain、ANKI.、LogRhythm, Inc.、TABLEAU SOFTWARE、Datadog、Cloudera 和 Palo Alto Networks, Inc. 等。
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研究方法
Data collection and base year analysis are done using data collection modules with large sample sizes. The stage includes obtaining market information or related data through various sources and strategies. It includes examining and planning all the data acquired from the past in advance. It likewise envelops the examination of information inconsistencies seen across different information sources. The market data is analysed and estimated using market statistical and coherent models. Also, market share analysis and key trend analysis are the major success factors in the market report. To know more, please request an analyst call or drop down your inquiry.
The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market and primary (industry expert) validation. Data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Patent Analysis, Pricing Analysis, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.
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