数据中心建设市场分析及预测(按规模、份额、增长、趋势)2030

  • Report Code : TIPTE100000432
  • Category : Technology, Media and Telecommunications
  • Status : Published
  • No. of Pages : 239
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Data Center Construction Market Drivers and Opportunities 2030

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数据中心建设市场规模预计将从 2022 年的 2348.5 亿美元增至 2030 年的 4481.4 亿美元。预计 2022-2030 年市场复合年增长率将达到 8.4%。数据存储需求的不断增长推动着市场的增长。

数据中心建设市场分析

由于信息技术行业的扩张,数据中心建设市场正在扩大。数据中心采用各种创新和新颖的技术构建。这些技术包括人工智能、大数据分析和物联网。在整个预测期内,这一因素将推动数据中心建设市场的发展。

数据中心建设市场概览

为了满足日益增长的数据处理和存储需求,全球数据中心建设行业专注于组织、开发和建造容纳计算机系统和基础设施的专用建筑。随着云计算、大数据分析、人工智能和物联网的兴起,强大的数据中心基础设施至关重要,这些都促进了数据生成的大幅增加。对有效管理大量数据的需求日益增长,导致了该行业的显著扩张。

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数据中心建设市场:

数据中心建设市场
  • Data Center Construction Market
    复合年增长率(2022 - 2030 年)
    8.4%
  • 2022 年市场规模
    2348.5 亿美元
  • 2030 年市场规模
    4481.4 亿美元

市场动态

增长动力
  • 大型企业越来越多地使用超大规模数据中心。
未来的趋势
  • 不断发展的云应用、大数据和人工智能。
机会
  • 数据消耗激增

关键人物;主力;重要一员

  • 阿森蒂
  • 宏碁公司
  • 思科系统公司
  • 戴尔公司
  • 富士通
  • 惠普企业发展有限公司
  • 华为技术有限公司
  • IBM
  • 联想
  • 甲骨文

区域概况

Data Center Construction Market
  • 北美
  • 欧洲
  • 亚太
  • 南美洲和中美洲
  • 中东和非洲

市场细分

Data Center Construction Market建筑类型
  • 一般建筑
  • 电气设计
  • 机械设计
Data Center Construction Market等级标准
  • 1 级和 2 级
  • 第 3 级
  • 第 4 层
Data Center Construction Market垂直行业
  • 金融保险业协会
  • 政府
  • 教育
  • 制造业
  • 零售
  • 运输
  • 媒体与娱乐
  • 其他的
  • 示例 PDF 通过定性和定量分析展示了内容结构和信息的性质。

数据中心建设市场驱动因素和机遇

大型企业越来越多地使用超大规模数据中心来赢得市场青睐

超大规模数据中心被各行各业用来提升计算能力、内存、网络基础设施和存储容量。超大规模数据中心拥有物理基础设施和分销技术,可帮助其最大程度地提高冷却效率,并能够高效、广泛地扩展计算工作负载。此外,根据 Compute Project 标准,数据中心硬件的销量正在增长。OCP 通过提供先进的冷却解决方案,在不改变额外设施的情况下快速提高下一代数据中心的功耗和计算密度,为市场增长做出了巨大贡献。

数据消耗激增

随着越来越多的人获得互联网连接,对在线服务、数字资料和基于云的应用程序的需求也越来越大。数据消耗的增加需要数据中心的增长和建设,以处理不断增长的信息量。机会在于满足不断增长的连接需求,使企业能够利用数字连接的全球人口的巨大潜力。数据中心在实现这种连接方面发挥着重要作用,它提供了顺畅、高效的数据处理、存储和传输所需的基础设施。因此,数据中心开发已发展成为一项战略投资,以支持和利用日益增长的互联网格局。

数据中心建设市场报告细分分析

有助于得出数据中心建设市场分析的关键部分是建设类型、层级标准和垂直行业。

  • 根据建筑类型,数据中心建设市场分为一般建筑、电气设计和机械设计。
  • 按照层级标准,市场分为 1 级、2 级、3 级和 4 级。
  • 就垂直行业而言,市场细分为 BFSI、政府、教育、制造、零售、运输、媒体和娱乐等。

数据中心建设市场份额按地区分析

数据中心建设市场报告的地理范围主要分为五个区域:北美、亚太地区、欧洲、中东和非洲以及南美/南美和中美洲。北美经济健康,网络基础设施先进,是行业增长的重要推动力。美国在区域市场占据主导地位,拥有众多主要的云服务提供商,如亚马逊、谷歌和 Facebook。这些组织致力于创建巨大的数据中心并扩展数据存储和处理能力,这提供了巨大的市场机会。

数据中心建设市场报告范围

报告属性细节
2022 年市场规模2348.5亿美元
2030 年的市场规模4481.4亿美元
全球复合年增长率(2022 - 2030 年)8.4%
历史数据2020-2021
预测期2022-2030
涵盖的领域按建筑类型
  • 一般建筑
  • 电气设计
  • 机械设计
按等级标准
  • 1 级和 2 级
  • 第 3 级
  • 第 4 层
按垂直行业
  • 金融保险业协会
  • 政府
  • 教育
  • 制造业
  • 零售
  • 运输
  • 媒体与娱乐
  • 其他的
覆盖地区和国家北美
  • 我们
  • 加拿大
  • 墨西哥
欧洲
  • 英国
  • 德国
  • 法国
  • 俄罗斯
  • 意大利
  • 欧洲其他地区
亚太
  • 中国
  • 印度
  • 日本
  • 澳大利亚
  • 亚太其他地区
南美洲和中美洲
  • 巴西
  • 阿根廷
  • 南美洲和中美洲其他地区
中东和非洲
  • 南非
  • 沙特阿拉伯
  • 阿联酋
  • 中东和非洲其他地区
市场领导者和主要公司简介
  • 阿森蒂
  • 宏碁公司
  • 思科系统公司
  • 戴尔公司
  • 富士通
  • 惠普企业发展有限公司
  • 华为技术有限公司
  • IBM
  • 联想
  • 甲骨文
  • 示例 PDF 通过定性和定量分析展示了内容结构和信息的性质。

数据中心建设市场新闻和最新发展

数据中心建设市场通过收集一手和二手研究后的定性和定量数据进行评估,其中包括重要的公司出版物、协会数据和数据库。以下是市场发展情况的列表:

  • 2023 年 1 月,TSL 获得了在奥芬巴赫建设自己的数据中心的合同,这是美国房地产投资者 Vantage 在欧洲建设数据中心的 20 亿美元投资的一部分。在初始开发阶段之后,Vantage 数据中心的容量将达到 16 兆瓦。该园区将拥有三个多层数据中心,最大 IT 容量为 55 兆瓦额定电力,总面积为 60,000 平方米。

(来源:TSL,公司网站,2023 年)

  • 2023 年 4 月,微软宣布在波兰开设新的可信云中心,这是中欧和东欧地区的第一个可信云中心。微软波兰云区域由华沙附近的三个物理位置组成,每个位置都有一个或多个数据中心。它确保数据保存在符合最高安全、隐私和法规遵从性的司法管辖区内。

(来源:微软,公司网站,2023 年)

数据中心建设市场报告范围和交付成果

“数据中心建设市场规模和预测(2023-2030 年)”报告对以下领域进行了详细的市场分析:

  • 范围内所有主要细分市场的全球、区域和国家层面的市场规模和预测
  • 市场动态,如驱动因素、限制因素和关键机遇
  • 未来主要趋势
  • 详细的 PEST/波特五力分析和 SWOT 分析
  • 全球和区域市场分析涵盖关键市场趋势、主要参与者、法规和最新市场发展
  • 行业格局和竞争分析,涵盖市场集中度、热点图分析、知名参与者和最新发展
  • 详细的公司简介
Report Coverage
Report Coverage

Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends

Segment Covered
Segment Covered

This text is related
to segments covered.

Regional Scope
Regional Scope

North America, Europe, Asia Pacific, Middle East & Africa, South & Central America

Country Scope
Country Scope

This text is related
to country scope.

Frequently Asked Questions


What will be the market size of the global data center construction market by 2031?

The global data center construction market is expected to reach US$ 375.21 billion by 2031.

Which are the key players holding the major market share of the data center construction market?

The key players holding the majority of shares in the global data center construction market are Acer Inc., Cisco Systems, Inc., Dell Inc., Fujitsu, and Hewlett Packard Enterprise Development LP.

What are the future trends of the global data center construction market?

Growing cloud applications, big data, and AI to play a significant role in the global data center construction market in the coming years.

What are the driving factors impacting the global data center construction market?

Large enterprises are increasingly using hyperscale data centers are the major factors that propel the global data center construction market.

What is the estimated market size for the global data center construction market in 2022?

The global data center construction market was estimated to be US$ 217.20 billion in 2023 and is expected to grow at a CAGR of 7.1% during the forecast period 2023 - 2031.

The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.

  1. Data Collection and Secondary Research:

As a market research and consulting firm operating from a decade, we have published and advised several client across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.

Several associations trade associates, technical forums, institutes, societies and organization are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in last 3 years are scrutinized and analyzed to understand the current market trends.

  1. Primary Research:

The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.

For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.

A typical research interview fulfils the following functions:

  • Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
  • Validates and strengthens in-house secondary research findings
  • Develops the analysis team’s expertise and market understanding

Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:

  • Industry participants: VPs, business development managers, market intelligence managers and national sales managers
  • Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.

Below is the breakup of our primary respondents by company, designation, and region:

Research Methodology

Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.

  1. Data Analysis:

Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.

  • Macro-Economic Factor Analysis:

We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.

  • Country Level Data:

Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.

  • Company Profile:

The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.

  • Developing Base Number:

Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.

  1. Data Triangulation and Final Review:

The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.

We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.

We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.

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