【研究报告】云迁移服务市场预计将从2022年的112.3亿美元增长到2030年的582.4亿美元;预计 2022 年至 2030 年复合年增长率为 22.8%。
分析师观点: h3>
近年来,在灵活性、敏捷性、低成本和安全性等多种因素的推动下,云迁移服务市场出现了显着增长。云迁移服务了解研究和创新的步骤以及云就绪解决方案的完整生命周期,以提供加速的上市时间和增强的运营流程。全球云支出的增长推动了云迁移服务市场的复合年增长率。随着越来越多的企业采用云计算解决方案来运营其运营,他们需要将现有的本地 IT 基础设施和应用程序迁移到云端。这种云迁移过程需要专门的技能和专业知识,而许多企业内部可能不具备这些技能和专业知识。这就是云迁移服务提供商的用武之地。这些公司提供云迁移项目的规划、评估、设计和实施等服务。它们帮助企业安全高效地将数据、应用程序和基础设施迁移到云。全球云支出的不断增长创造了一个庞大的云迁移服务市场,从而促进了这一增长。随着企业不断投资云解决方案,对云迁移服务的需求只会增加,从而导致进一步增长。
此外,云迁移项目的复杂性和对云迁移服务的需求也越来越大。专业知识为新参与者设置了进入壁垒,为成熟的云迁移服务提供商提供了竞争优势。例如,2021年9月,埃森哲解决方案私人有限公司投资30亿美元开发了Cloud First,以加速云计算的采用。此外,2021 年 8 月,Google Cloud 向德国项目投资了 1-20 亿美元。该投资预计通过在柏林建设更多数据中心来增加德国的云基础设施。
但是,最终用户正在寻找先进的解决方案,以确保尽可能最佳地利用资源计算环境多样化且复杂的时代。这种寻求增加了管理的复杂性,从而增加了对灵活性和自动化的需求。组织可以通过云迁移服务获得适当程度的敏捷性和自动化。公司必须比当前的虚拟化策略更具适应性和灵活性,这可以通过将当前工作负载转移到云端来轻松完成。预计云迁移的主要驱动力是云上的业务敏捷性。此外,云迁移服务市场还为最终用户提供了各种自动化功能,例如恢复自动扩展、自动备份和自动配置,帮助他们利用云计算的运营和经济效益。使用自动化技术的众多优势包括管理多个云部署、在紧急情况下实现自动恢复以及增强业务连续性和灾难恢复。云迁移服务提供跨各种环境的业务敏捷性,提高企业服务水平。
云迁移服务市场概述:
云迁移是将公司的IT资源、数据库、服务、数字资产和应用程序全部或部分迁移到云端。一些公司希望摆脱过时且效率日益低下的遗留基础设施(例如可能不可靠的防火墙设备或老化服务器),或者放弃不再以最佳能力运行的硬件或软件解决方案,现在正在转向云了解云计算的优势。这就是为什么这么多企业至少部分迁移到云的原因。此外,云迁移对于完成更新和实时的性能和效率至关重要。因此,该流程需要仔细分析、规划和执行,以确认云解决方案与业务需求的兼容性。因此,云迁移服务需求的增加将推动云迁移服务市场的增长。
此外,创新和云机会的增加可以对企业产生巨大影响进行云迁移过程。这包括缩短交付时间和总体拥有成本 (TCO) 的下降。访问云带来了敏捷性和灵活性,这对于满足不断变化的消费者和市场需求至关重要。近几个月来,公司一直在将其服务和数据迁移到云端,以适应成为弹性数字工作场所,以应对不断增长的在线需求和远程工作。对于已经开始迁移到云计算的企业来说,他们正在加速云转型,这将引领未来几年的发展方向。
云迁移服务提供了多种服务优势例如提高灵活性和敏捷性、快速创新的能力、简化成本降低、增加资源需求、更好地管理不断增长的客户期望、转向一切即服务、立即交付业务成果、简化 IT、提高性能、更好的消费管理、云可扩展性。由于所有这些优势,云迁移服务市场增长得到推动。
战略洞察
< span>云迁移服务市场驱动因素:
数字化程度的提高、自动化程度的提高以及减少资本支出的需求不断增加正在引发云迁移服务的增长
在COVID-19传播期间,企业将工作方式转变为“完整”(无接触),许多企业急于进行数字化转型以保护差异化价值为他们的组织。在此过程中出现了涉及大量基础设施的新数字技术,例如人工智能(AI)、应用程序操作、自动化、聊天机器人或联络中心。然而,在引入这些新技术之前需要准备一件事。需要新的基础设施云来使用这些新技术的功能。最近,组织高度重视存储大数据和获取洞察力以保护业务竞争力。但在现有的基础设施环境中,存储大数据并不简单,通过机器学习/深度学习或人工智能来分析数据也并不容易。云使这些成为可能,这就是公司对云感兴趣并试图快速引入它的原因。因此,日益数字化正在推动云迁移服务市场的发展。
此外,通过云迁移自动化,迁移到云变得更加容易。现在有许多工具可用于完成与云迁移相关的繁重工作,帮助企业降低成本、提高迁移速度并降低风险。利用自动化工具的组织可以提高云迁移项目的成功率并实现更快的价值实现。云迁移自动化可以通过减少迁移时间、降低迁移成本、支持数据分析和最大程度地减少业务中断来帮助企业迁移到云。
通过自动化,组织可以减少一些迁移到云的重复任务越多,降低这些成本,并更快地迁移到云。云迁移自动化可以跨多个环境提供可靠、重复的结果,以增加和简化迁移过程。它使员工能够腾出时间专注于云迁移的更高价值、更具战略性的方面,并减少人为错误。
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云迁移服务市场细分分析:
根据产品类型,云迁移服务市场分为服务类型、部署和最终用户。服务类型部分进一步细分为自动化和集成、灾难恢复、托管服务、培训和咨询、支持和维护等。部署进一步细分为公有云、私有云和混合云,最终用户细分进一步细分为 BFSI、IT 和电信、政府、零售、制造、医疗保健等。 p>
云迁移服务市场区域分析:
由于采用了尖端软件、现代技术知识和大量组织,北美地区使用云迁移服务最多。该领域已准备好在所有经济部门实施这项技术。 IT行业已经占据了这一战略。北美不断增长的医疗保健行业有利于云迁移服务市场。在发现云迁移的好处后,这些地区的中小企业修改其云解决方案以提高生产力并促进商业成功。由于对数字银行、复杂制造系统、互联解决方案和医疗保健等数字解决方案的投资,北美对云迁移服务的需求也在增加。将数据和应用程序迁移到云以及其他方面的好处鼓励许多组织使用云迁移服务。这有助于云迁移服务市场的增长。北美地区的组织也在维持战略联盟并扩展业务,以加快云迁移服务的速度。企业可以通过自动化简化其云迁移服务,这将有助于云迁移服务市场的增长。
云迁移服务市场主要参与者分析:< /span>
云迁移服务市场分析由 Accenture、Amazon Web Services, Inc.、Cisco Systems, Inc.、Cognizant、DXC 技术公司、Google LLC、IBM、云迁移服务市场的参与者包括微软、Rackspace Technology、VMware Inc。埃森哲和亚马逊网络服务公司由于提供多样化的产品组合而成为排名前两位的参与者。
云迁移服务市场最新动态:  ;
并购等无机和有机策略受到云迁移服务市场企业的高度认可。下面列出了最近的一些关键云迁移服务市场发展:
- 2022 年 6 月,全球领先的云提供商 Ovhcloud 与老牌端到端云提供商 Lenet 合作-美国企业的终端IT服务提供商。此次合作将为各种规模的公司实现经济高效、灵活且安全的云迁移。
- 2021 年 1 月,一家名为 Smartfren 的印度尼西亚电信公司与思科系统公司合作开发了一款多云解决方案。 -云架构_该项目将率先采用托管服务、云计算和其他云服务集成数据中心架构来提供数字服务。
- Historical Analysis (2 Years), Base Year, Forecast (7 Years) with CAGR
- PEST and SWOT Analysis
- Market Size Value / Volume - Global, Regional, Country
- Industry and Competitive Landscape
- Excel Dataset
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
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Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
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The List of Companies
1. Accenture plc
2. Amazon Web Services, Inc.
3. Cisco Systems, Inc.
4. Cognizant
5. DXC Technology
6. Google LLC
7. IBM
8. Microsoft Corporation
9. Rackspace Inc.
10. VMware, Inc
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- 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.
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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.
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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:
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Below is the breakup of our primary respondents by company, designation, and region:
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.
- 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.
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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.
- 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.