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市场调查报告书

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1288662

全球数据中心自动化市场研究报告 - 行业分析、规模、份额、增长、趋势和2023至2030年预测

Global Data Center Automation Market Research Report - Industry Analysis, Size, Share, Growth, Trends and Forecast 2023 to 2030

出版日期: 2023年06月01日 | 出版商:

Value Market Research | 英文 280 Pages | 商品交期: 最快1-2个工作天内

价格

简介目录图表

据推测，到2030年，全球对数据中心自动化市场的需求将从2022年的10.24亿美元达到近41.24亿美元的市场规模，在2023-2030年的研究期间，年复合增长率为16.74%。

数据中心自动化是使用软件和工具来自动化和简化数据中心的管理和运营。这可能包括诸如数据中心基础设施的配置、监控和维护等任务，以及在数据中心运行的工作负载和应用程序的管理。数据中心自动化工具可以帮助减少手工作业和人为错误，从而提高数据中心运营的效率和可靠性。自动化还可以帮助优化能源消耗，减少停机时间，并提高数据中心的整体性能。数据中心自动化可以通过各种手段实现，包括使用脚本、自动化软件、人工智能和机器学习算法。这些工具可以帮助协调和自动化复杂的流程，使数据中心的运营更加高效、可靠和可扩展。

市场动态：

企业产生的数据量不断增加，推动了对数据中心的需求。这导致了对高效和自动化解决方案的需求，以管理数据中心并确保其顺利运营。数据中心自动化可以帮助企业通过减少手工作业和人为错误来节约成本和时间。自动化还有助于优化能源消耗和减少停机时间，这可以为企业节省大量成本。云计算正被越来越多地采用，世界各地的许多组织正在将他们的数据转移到云端。数据中心自动化可以帮助更有效地管理基于云的数据中心，从而节约成本并提高性能。技术的进步，包括人工智能（AI）、机器学习（ML）和物联网（IoT）的发展，正在使数据中心的运营更容易实现自动化。自动化可以帮助提高数据中心运营的效率和准确性，导致更好的性能和更可靠的基础设施。许多组织正在关注可持续性和减少他们的碳足迹。数据中心自动化可以帮助优化能源消耗和减少碳排放，使其成为对环保意识强的组织有吸引力的解决方案。

该研究报告涵盖了波特五力模型、市场吸引力分析和价值链分析。这些工具有助于清楚地了解行业结构，并在全球范围内评估竞争的吸引力。此外，这些工具还对全球数据中心自动化市场的每个部分进行了全面评估。数据中心自动化行业的增长和趋势为这项研究提供了一个整体的方法。

区域分析：

这一部分涵盖了区域前景，强调了数据中心自动化市场在北美、欧洲、亚太、拉丁美洲、中东和非洲的当前和未来需求。此外，该报告重点关注所有突出地区的个别应用部门的需求、估计和预测。

该研究报告还涵盖了市场中主要参与者的全面概况和对全球竞争格局的深入看法。数据中心自动化市场的主要参与者包括思科系统公司、ABB、甲骨文、VMWare、惠普企业发展有限公司、BMC软件公司、微软、思杰系统公司、ServiceNow、FUJITSU。这一部分包括对竞争格局的整体看法，其中包括各种战略发展，如主要的合併和收购，未来的能力，伙伴关系，财务概况，合作，新产品的开发，新产品的推出，以及其他发展。

简介 - 市场动态
市场驱动力
市场限制因素
机会
行业趋势
波特的五力分析
市场吸引力分析
- 按组件分類的市场吸引力分析
- 按解决方案的市场吸引力分析
- 按部署分類的市场吸引力分析
- 按企业分類的市场吸引力分析
- 按终端用途分类的市场吸引力分析
- 市场吸引力分析：按地区

第四章：价值链分析

价值链分析
原材料分析
- 原材料清单
- 原材料制造商名单
- 关键原材料的价格趋势
潜在买家名单
营销渠道
- 直接营销
- 间接营销
- 营销渠道的发展趋势

第五章：COVID-19爆发的影响分析

第六章：全球数据中心自动化市场分析：按组件分类

各组成部分概述
历史和预测数据
按组件分析
解决方案
服务

第7章：全球数据中心自动化市场分析：按解决方案

按解决方案概述
历史和预测数据
按解决方案分析
存储
网络
服务器

第八章：全球数据中心自动化市场分析：按部署划分

按部署情况概述
历史和预测数据
按部署的分析
企业内部部署
云计算

第九章：全球数据中心自动化市场分析：按企业分类

按企业概述
历史和预测数据
按企业分析
大型企业
中小型企业

第十章：全球数据中心自动化市场分析：按终端用途分类

按终端用途概述
历史和预测数据
按终端用途的分析
制造业
BFSI
医疗保健
零售业
IT和电信业
其他行业

第11章：全球数据中心自动化市场分析：按地域划分

顶级公司份额分析
简介
北美地区销售分析
- 概述，历史和预测的销售分析
- 北美地区分部销售分析
- 北美洲国家销售分析
- 美国销售分析
- 加拿大销售分析
- 墨西哥销售分析
欧洲销售分析
- 概况、历史和预测的销售分析
- 欧洲分部销售分析
- 欧洲国家销售分析
- 英国销售分析
- 法国销售分析
- 德国销售分析
- 意大利销售分析
- 俄罗斯销售分析
- 欧洲其他地区销售分析
亚太地区销售分析
- 概况、历史和预测的销售分析
- 亚太地区分部销售分析
- 亚太地区国家销售分析
- 中国销售分析
- 印度销售分析
- 日本销售分析
- 韩国销售分析
- 澳大利亚销售分析
- 亚太其他地区销售分析
拉美地区销售分析
- 概况、历史和预测的销售分析
- 拉美地区分部销售分析
- 拉美地区国家销售分析
- 巴西销售分析
- 阿根廷销售分析
- 秘鲁销售分析
- 智利销售分析
- 拉丁美洲其他地区销售分析
中东和非洲销售分析
- 概况、历史和预测销售分析
- 中东和非洲地区分部销售分析
- 中东和非洲国家销售分析
- 沙特阿拉伯销售分析
- 阿联酋销售分析
- 以色列销售分析
- 南非销售分析
- 其他中东和非洲国家销售分析

第十二章：数据中心自动化公司的竞争格局

数据中心自动化市场竞争
伙伴关系/合作/协议
合併和收购
新产品发布
其他发展

第十三章：公司简介

公司份额分析
市场集中度
Cisco Systems Inc.
- 公司概况
- 公司收入
- 产品
- 近期发展
ABB
- 公司概况
- 公司收入
- 产品
- 近期发展
Oracle
- 公司概览
- 公司收入
- 产品
- 近期发展
VMWare
- 公司概览
- 公司收入
- 产品
- 近期发展
Hewlett Packard Enterprise Development LP
- 公司概览
- 公司收入
- 产品
- 近期发展
BMC Software Inc.
- 公司概览
- 公司收入
- 产品
- 近期发展
Microsoft
- 公司概览
- 公司收入
- 产品
- 近期发展
Citrix Systems Inc.
- 公司概览
- 公司收入
- 产品
- 近期发展
ServiceNow
- 公司概览
- 公司收入
- 产品
- 近期发展
FUJITSU
- 公司概览
- 公司收入
- 产品
- 近期发展情况

注意 - 在公司简介中，财务细节和最近的发展情况要视情况而定，如果是私营公司，可能不包括在内。

简介目录图表

Product Code: VMR112110505

The global demand for Data Center Automation Market is presumed to reach the market size of nearly USD 41.24 BN by 2030 from USD 10.24 BN in 2022 with a CAGR of 16.74% under the study period 2023-2030.

Data center automation is the use of software and tools to automate and streamline the management and operations of data centers. This can include tasks such as provisioning, configuration, monitoring, and maintenance of data center infrastructure, as well as the management of workloads and applications running in the data center. Data center automation tools can help to reduce manual work and human errors, leading to greater efficiency and reliability in data center operations. Automation can also help to optimize energy consumption, reduce downtime, and improve the overall performance of the data center. Data center automation can be achieved through various means, including the use of scripts, automation software, and artificial intelligence and machine learning algorithms. These tools can help to orchestrate and automate complex processes, making data center operations more efficient, reliable, and scalable.

Market Dynamics:

The growing amount of data being generated by organizations is driving the demand for data centers. This is leading to the need for efficient and automated solutions to manage data centers and ensure their smooth operations. Data center automation can help organizations save costs and time by reducing manual work and human errors. Automation also helps to optimize energy consumption and reduce downtime, which can result in significant cost savings for organizations. Cloud computing is increasingly being adopted and many organizations across the world are shifting their data to the cloud. Data center automation can help to manage cloud-based data centers more efficiently, leading to cost savings and improved performance. Advances in technology, including the development of artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT), are making it easier to automate data center operations. Automation can help to improve the efficiency and accuracy of data center operations, leading to better performance and a more reliable infrastructure. Many organizations are focusing on sustainability and reducing their carbon footprint. Data center automation can help to optimize energy consumption and reduce carbon emissions, making it an attractive solution for environmentally conscious organizations.

The research report covers Porter's Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry's structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of data center automation. The growth and trends of data center automation industry provide a holistic approach to this study.

Market Segmentation:

This section of the data center automation market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.

By Component

Solution
Services

By Solution

Storage
Network
Server

By Deployment

On-Premise
Cloud

By Enterprise

Large Size Enterprises
Small And Medium Sized Enterprises (SMEs)

By End-Use

Manufacturing
BFSI
Healthcare
Retail
IT & Telecommunication
Others

Regional Analysis:

This section covers the regional outlook, which accentuates current and future demand for the Data Center Automation market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.

The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the data center automation market include Cisco Systems Inc., ABB, Oracle, VMWare, Hewlett Packard Enterprise Development LP, BMC Software Inc., Microsoft, Citrix Systems Inc., ServiceNow, FUJITSU. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.

1 . PREFACE

1.1. Report Description
- 1.1.1. Objective
- 1.1.2. Target Audience
- 1.1.3. Unique Selling Proposition (USP) & offerings
1.2. Research Scope
1.3. Research Methodology
- 1.3.1. Market Research Process
- 1.3.2. Market Research Methodology

2 . EXECUTIVE SUMMARY

2.1. Highlights of Market
2.2. Global Market Snapshot

3 . DATA CENTER AUTOMATION - INDUSTRY ANALYSIS

3.1. Introduction - Market Dynamics
3.2. Market Drivers
3.3. Market Restraints
3.4. Opportunities
3.5. Industry Trends
3.6. Porter's Five Force Analysis
3.7. Market Attractiveness Analysis
- 3.7.1 Market Attractiveness Analysis By Component
- 3.7.2 Market Attractiveness Analysis By Solution
- 3.7.3 Market Attractiveness Analysis By Deployment
- 3.7.4 Market Attractiveness Analysis By Enterprise
- 3.7.5 Market Attractiveness Analysis By End-Use
- 3.7.6 Market Attractiveness Analysis By Region

4 . VALUE CHAIN ANALYSIS

4.1. Value Chain Analysis
4.2. Raw Material Analysis
- 4.2.1. List of Raw Materials
- 4.2.2. Raw Material Manufactures List
- 4.2.3. Price Trend of Key Raw Materials
4.3. List of Potential Buyers
4.4. Marketing Channel
- 4.4.1. Direct Marketing
- 4.4.2. Indirect Marketing
- 4.4.3. Marketing Channel Development Trend

5 . IMPACT ANALYSIS OF COVID-19 OUTBREAK

6 . GLOBAL DATA CENTER AUTOMATION MARKET ANALYSIS BY COMPONENT

6.1 Overview by Component
6.2 Historical and Forecast Data
6.3 Analysis by Component
6.4 Solution Historic and Forecast Sales by Regions
6.5 Services Historic and Forecast Sales by Regions

7 . GLOBAL DATA CENTER AUTOMATION MARKET ANALYSIS BY SOLUTION

7.1 Overview by Solution
7.2 Historical and Forecast Data
7.3 Analysis by Solution
7.4 Storage Historic and Forecast Sales by Regions
7.5 Network Historic and Forecast Sales by Regions
7.6 Server Historic and Forecast Sales by Regions

8 . GLOBAL DATA CENTER AUTOMATION MARKET ANALYSIS BY DEPLOYMENT

8.1 Overview by Deployment
8.2 Historical and Forecast Data
8.3 Analysis by Deployment
8.4 On-Premise Historic and Forecast Sales by Regions
8.5 Cloud Historic and Forecast Sales by Regions

9 . GLOBAL DATA CENTER AUTOMATION MARKET ANALYSIS BY ENTERPRISE

9.1 Overview by Enterprise
9.2 Historical and Forecast Data
9.3 Analysis by Enterprise
9.4 Large Size Enterprises Historic and Forecast Sales by Regions
9.5 Small And Medium Sized Enterprises (SMEs) Historic and Forecast Sales by Regions

10 . GLOBAL DATA CENTER AUTOMATION MARKET ANALYSIS BY END-USE

10.1 Overview by End-Use
10.2 Historical and Forecast Data
10.3 Analysis by End-Use
10.4 Manufacturing Historic and Forecast Sales by Regions
10.5 BFSI Historic and Forecast Sales by Regions
10.6 Healthcare Historic and Forecast Sales by Regions
10.7 Retail Historic and Forecast Sales by Regions
10.8 IT & Telecommunication Historic and Forecast Sales by Regions
10.9 Others Historic and Forecast Sales by Regions

11 . GLOBAL DATA CENTER AUTOMATION MARKET ANALYSIS BY GEOGRAPHY

11.1. Top Company Share Analysis
11.2. Introduction
11.3. North America Sales Analysis
- 11.3.1. Overview, Historic and Forecast Sales Analysis
- 11.3.2. North America By Segment Sales Analysis
- 11.3.3. North America By Country Sales Analysis
- 11.3.4. United State Sales Analysis
- 11.3.5. Canada Sales Analysis
- 11.3.6. Mexico Sales Analysis
11.4. Europe Sales Analysis
- 11.4.1. Overview, Historic and Forecast Sales Analysis
- 11.4.2. Europe by Segment Sales Analysis
- 11.4.3. Europe by Country Sales Analysis
- 11.4.4. United Kingdom Sales Analysis
- 11.4.5. France Sales Analysis
- 11.4.6. Germany Sales Analysis
- 11.4.7. Italy Sales Analysis
- 11.4.8. Russia Sales Analysis
- 11.4.9. Rest Of Europe Sales Analysis
11.5. Asia Pacific Sales Analysis
- 11.5.1. Overview, Historic and Forecast Sales Analysis
- 11.5.2. Asia Pacific by Segment Sales Analysis
- 11.5.3. Asia Pacific by Country Sales Analysis
- 11.5.4. China Sales Analysis
- 11.5.5. India Sales Analysis
- 11.5.6. Japan Sales Analysis
- 11.5.7. South Korea Sales Analysis
- 11.5.8. Australia Sales Analysis
- 11.5.9. Rest Of Asia Pacific Sales Analysis
11.6. Latin America Sales Analysis
- 11.6.1. Overview, Historic and Forecast Sales Analysis
- 11.6.2. Latin America by Segment Sales Analysis
- 11.6.3. Latin America by Country Sales Analysis
- 11.6.4. Brazil Sales Analysis
- 11.6.5. Argentina Sales Analysis
- 11.6.6. Peru Sales Analysis
- 11.6.7. Chile Sales Analysis
- 11.6.8. Rest of Latin America Sales Analysis
11.7. Middle East & Africa Sales Analysis
- 11.7.1. Overview, Historic and Forecast Sales Analysis
- 11.7.2. Middle East & Africa by Segment Sales Analysis
- 11.7.3. Middle East & Africa by Country Sales Analysis
- 11.7.4. Saudi Arabia Sales Analysis
- 11.7.5. UAE Sales Analysis
- 11.7.6. Israel Sales Analysis
- 11.7.7. South Africa Sales Analysis
- 11.7.8. Rest Of Middle East And Africa Sales Analysis

12 . COMPETITIVE LANDSCAPE OF THE DATA CENTER AUTOMATION COMPANIES

12.1. Data Center Automation Market Competition
12.2. Partnership/Collaboration/Agreement
12.3. Merger And Acquisitions
12.4. New Product Launch
12.5. Other Developments

13 . COMPANY PROFILES OF DATA CENTER AUTOMATION INDUSTRY

13.1. Company Share Analysis
13.2. Market Concentration Rate
13.3. Cisco Systems Inc.
- 13.3.1. Company Overview
- 13.3.2. Company Revenue
- 13.3.3. Products
- 13.3.4. Recent Developments
13.4. ABB
- 13.4.1. Company Overview
- 13.4.2. Company Revenue
- 13.4.3. Products
- 13.4.4. Recent Developments
13.5. Oracle
- 13.5.1. Company Overview
- 13.5.2. Company Revenue
- 13.5.3. Products
- 13.5.4. Recent Developments
13.6. VMWare
- 13.6.1. Company Overview
- 13.6.2. Company Revenue
- 13.6.3. Products
- 13.6.4. Recent Developments
13.7. Hewlett Packard Enterprise Development LP
- 13.7.1. Company Overview
- 13.7.2. Company Revenue
- 13.7.3. Products
- 13.7.4. Recent Developments
13.8. BMC Software Inc.
- 13.8.1. Company Overview
- 13.8.2. Company Revenue
- 13.8.3. Products
- 13.8.4. Recent Developments
13.9. Microsoft
- 13.9.1. Company Overview
- 13.9.2. Company Revenue
- 13.9.3. Products
- 13.9.4. Recent Developments
13.10. Citrix Systems Inc.
- 13.10.1. Company Overview
- 13.10.2. Company Revenue
- 13.10.3. Products
- 13.10.4. Recent Developments
13.11. ServiceNow
- 13.11.1. Company Overview
- 13.11.2. Company Revenue
- 13.11.3. Products
- 13.11.4. Recent Developments
13.12. FUJITSU
- 13.12.1. Company Overview
- 13.12.2. Company Revenue
- 13.12.3. Products
- 13.12.4. Recent Developments

Note - in company profiling, financial details and recent development are subject to availability or might not be covered in case of private companies

简介目录图表