到 2030 年的全球云端工程市场预测:按服务类型、服务模型、组织规模、部署模型、最终用户和地区进行的全球分析
市场调查报告书
商品编码
1372039

到 2030 年的全球云端工程市场预测:按服务类型、服务模型、组织规模、部署模型、最终用户和地区进行的全球分析

Cloud Engineering Market Forecasts to 2030 - Global Analysis By Service Type, Service Model, Organization Size, Deployment Model, End User and By Geography

出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据,2023 年全球云端工程市场规模为 3,776.7 亿美元,预计将以 16.1% 的年复合成长率成长,到 2030 年达到 10,738.5 兆美元。

称为云端工程的运算范式透过公有或专用网路组合系统,为资料和应用程式安全和储存提供动态可扩展的基础架构。它是促进和标准化云端运算应用的方法策略。工程技术用于云端运算系统和解决方案的开发、维护和扩展。

根据《富比士》报道,到 2020 年,83% 的企业负载将迁移到云端,其中 41%运作在 AWS、Azure 和 GCP 等公共云端平台上。

政府加大配合措施加速云采用

当今的数位化迫使企业依赖云端作为灵活、经济、按需的资料储存解决方案。因此,世界各国政府都在投资云端运算交付策略。云端运算降低了购买、开发、营运和维护技术服务的成本。此外,云端运算使政府能够透过简化 IT 营运来显着提高生产力,从而扩大市场。

成本、安全和隐私问题

阻碍市场成长的一个因素是,虽然云端运算允许可扩充性和弹性,但它也可能成本高昂,特别是如果资源没有适当的管理或最大化。我可以列出它。组织可能会遇到意外的费用,例如资料传输、储存以及资源的增加和减少。云端成本管理需要密切监控和最佳化,以避免不合理的支出。使用云端储存资料和操作应用程式会引发隐私和安全性问题。然而,由于可能存在诈欺的存取、资料外洩和内部威胁,企业可能会犹豫是否将敏感资料委託给第三方云端服务供应商。在云端环境中,遵守资料保护法并确保资料机密性可能很困难。这些因素阻碍了市场的成长。

云端运算服务需求不断成长

云端运算服务和云端基础的应用程式正在帮助企业和员工实现更高的生产力和弹性。然而,大多数公司认为,与云端运算系统相关的风险成长速度快于其提供实际答案的能力。其他优势包括透过利用云端作为创新基础架构的基础来提高效能、降低成本和提高敏捷性。例如,在物联网产品领域,企业正在以只有透过使用云端运算才能实现的速度进行创新。此外,多家公司正在利用人工智慧促进企业发展,支援市场扩张。

效能和网路安全性较差

由于多个用户共用云端运算资源,效能可能不稳定。存取服务的多个用户数量、云端资料中心的位置以及提供者基础设施的整体压力都会影响云端应用程式的运作效率。此外,使用者体验和应用程式回应时间可能会受到这种不可预测性的影响。使用者需要稳定、高速的网路连线来存取和有效使用云端服务。云端基础的应用程式的效能和可访问性可能会因网路连线不良或网路存取不规则而受到阻碍。这些因素阻碍了市场的成长。

COVID-19 的影响

云端运算范式是为了管理波动的需求而有机建构的,因此它应该能够处理由COVID-19问题带来的那种大量需求。云端运算服务供应商必须意识到疫情带来的需求增加所带来的挑战。此外,随着串流媒体服务和虚拟活动取代面对面会议,目前对远距工作的高需求可能会扩大。由于中国和其他受影响地区的生产设施导致供应链受到供不应求的影响,必须在远距工作且员工人数较少的情况下维持对云端服务的营运支援。

公共云端市场预计将在预测期内成为最大的市场

预计公共云端领域在预测期内将是最大的。企业可以製定策略来提高营运能力,同时透过云端减少费用。此外,效率的提高、本地成本的降低以及无伺服器运算的快速采用也推动了对云端工程服务的需求。利用云端工程的公司越来越多地转向云端基础的服务来处理公司的关键业务。

大型企业领域预计在预测期内年复合成长率最高。

就组织规模而言,大型企业预计在预测期内拥有最大的市场规模。大公司有财力投资海外市场。这样一来,企业可以在国外设立子公司,不依赖国内市场增加市场占有率。此外,云端运算使许多公司变得足够大、知名,并拥有强大的品牌声誉和形象。大公司也在最尖端科技投入巨资,以提高整体生产力和效率。

比最大的地区

由于该地区对云端基础设施的需求不断增长以及云端运算在业务运营和管理中的使用不断增加,预计北美将在预测期内主导全球云端工程市场。此外,该地区的企业越来越多地采用云端运算系统,对云端服务提供的卓越运算效能的需求也越来越大。该地区有如此多的云端资源,有部署的需要,因此云端工程市场近年来持续上升。

复合年复合成长率最高的地区

在预测期内,由于云端架构的快速商业化,亚太地区云端工程市场预计将出现最高的年复合成长率。由于部门越来越了解云端运算的优势,云端工程在亚太地区越来越受欢迎。在预测期内,该地区的云端运算商业化程度不断提高,并将继续成为云端工程市场的主要驱动力。

市场主要参与者

云端工程市场的主要企业包括Infosys、Rapidvalue、Aricent、Engineering Ingegneria、ITC Infotech、Searce、Calsoft、Sogeti、Nitor、Trianz、Voice、Video、Data、Network (VVDN)、GFT Technologies、Engineering Ingegneria Informatica SPA、Softcrylic有限责任公司等

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  • 公司简介
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  • 竞争基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第1章执行摘要

第2章前言

  • 概述
  • 利害关係人
  • 调查范围
  • 调查方法
    • 资料探勘
    • 资料分析
    • 资料检验
    • 研究途径
  • 研究来源
    • 主要研究来源
    • 二次研究来源
    • 先决条件

第3章市场趋势分析

  • 促进因素
  • 抑制因素
  • 机会
  • 威胁
  • 最终用户分析
  • 新兴市场
  • 新型冠状病毒感染疾病(COVID-19)的影响

第4章波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代的威胁
  • 新进入者的威胁
  • 竞争公司之间的敌对关係

第5章全球云端工程市场:依服务类型

  • 培训/教育
  • 咨询设计
  • 云端储存
  • 云端安全
  • DevOps
  • 整合/迁移
  • 其他服务类型

第6章全球云端工程市场:依服务模式

  • 软体作为服务
  • 平台即服务
  • 基础设施即服务

第7章全球云端工程市场:依组织规模

  • 大型企业
  • 中型公司
  • 小本生意

第8章全球云端工程市场:依部署模型

  • 混合云
  • 私有云端
  • 公共云端

第9章全球云端工程市场:依最终用户分类

  • 能源/公共工程
  • 製造业
  • 通讯/ITES
  • 银行、金融服务和保险
  • 零售/消费品
  • 政府/国防
  • 医疗保健/生命科学
  • 其他最终用户

第10章全球云端工程市场:按地区

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 欧洲其他地区
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东/非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东/非洲

第11章进展

  • 合约、伙伴关係、协作和合资企业
  • 收购和合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第12章公司简介

  • Infosys
  • Rapidvalue
  • Aricent
  • Engineering Ingegneria
  • ITC Infotech
  • Searce
  • Calsoft
  • Sogeti
  • Nitor
  • Trianz
  • Voice, Video, Data, Network(VVDN)
  • GFT Technologies
  • Engineering Ingegneria Informatica SPA
  • Softcrylic LLC
Product Code: SMRC24095

According to Stratistics MRC, the Global Cloud Engineering Market is accounted for $377.67 billion in 2023 and is expected to reach $1,073.85 billion by 2030 growing at a CAGR of 16.1% during the forecast period. A computing paradigm known as ""cloud engineering"" combines systems through public or private networks to provide dynamically scalable infrastructure for data and application security and storage. It is a methodical strategy for promoting and standardizing cloud computing applications. Engineering techniques are employed in the development, maintenance, and expansion of cloud computing systems and solutions.

According to Forbes, 83 percent of the enterprise workloads will be in the cloud by 2020, with 41 percent of them running on the public cloud platforms, such as AWS, Azure, and GCP.

Market Dynamics:

Driver:

Increasing government initiatives to speed accelerate cloud adoption

In the current era of digitization, businesses are compelled to use the cloud for flexible, affordable, and on-demand data storage solutions. Governments all across the world are investing in cloud computing delivery strategies as a consequence. Cloud computing reduces the cost of purchasing, developing, operating, and sustaining technical services. Additionally, due to cloud computing, governments may significantly enhance productivity by streamlining their IT operations, which results in market expansion.

Restraint:

Cost considerations & security and privacy concerns

Factors that hamper the market growth are as cloud computing allows for scalability and flexibility, it can also lead to higher expenses, especially when resources are not adequately managed or maximized. Organizations could be hit with unforeseen expenditures like those for data transfer, storage, or resource scaling up and down. To prevent irrational spending, cloud cost management needs meticulous monitoring and optimization. Privacy and security concerns arise when using the cloud for storing data and operating apps. However, due to the possibility of illegal access, data breaches, or insider threats, businesses may be hesitant to entrust sensitive data to third-party cloud service providers. It can be difficult to comply with data protection laws and secure data confidentiality in a cloud environment. These factors hinder the market growth.

Opportunity:

Rising demands for cloud computing services

Since they enable higher levels of productivity and flexibility, cloud computing services and cloud-based apps have helped both businesses and employees. The majority of businesses, however, think that the risks associated with cloud computing systems are rising faster than their ability to put forth practical answers. Additionally, Performance benefits, cost savings, and higher agility may ensure from using the cloud as the foundation for innovation infrastructure. For instance, corporations are progressing in innovation in the area of Internet of Things product creation at a rate that is only possible with the use of cloud computing. A variety of enterprises are developing to use AI in their operations which aid market expansion.

Threat:

Performance inadequacy & network security

Multiple users share cloud computing resources, which may cause performance unpredictability. The number of multiple users accessing the service, the location of the cloud data centers, and the overall stress on the provider's infrastructure can all have an impact on how effectively cloud apps run. Additionally, the user experience and application response times may be affected by this unpredictability. For users to access and use cloud services efficiently, they need a steady, fast internet connection. The performance and accessibility of cloud-based apps may be hampered by poor network connectivity or irregular internet access. These factors hinder the market growth.

COVID-19 Impact:

The cloud computing paradigm should be able to accommodate greater demands like those brought on by the COVID-19 problem because it is organically built to manage variable demand. Cloud computing service providers must be aware of the challenges presented by growing demand due to the epidemic. Additionally, for remote work, the current high demand will grow as streaming services and virtual events replace in-person meetings. Supply chains will be impacted by shortages resulting from production facilities in China and other affected locations, and operational support for cloud offerings will need to be maintained while working remotely or with fewer employees.

The public cloud segment is expected to be the largest during the forecast period

The public cloud segment is anticipated to be the largest during the projected period. Businesses may develop strategies to increase operational capabilities while lowering expenses according to the cloud. Moreover, the requirement for cloud engineering services is being driven by increased efficiency, decreased on-premises expenses, and the rapid adoption of server less computing. Businesses using cloud engineering are progressively more inclined to use cloud-based services for handling their crucial company operations.

The large enterprises segment is expected to have the highest CAGR during the forecast period

The sector of large enterprises is anticipated to have the largest market size throughout the forecast period in terms of organization size. Large businesses have the financial resources to invest in foreign markets. As a result, businesses are unrestricted in their capacity to establish subsidiaries abroad and develop their market share without relying on the domestic market to support their expansion plans. Additionally, due to cloud computing, many businesses are large and well-known enough to have a strong brand reputation and image. Large businesses are also making significant investments in cutting-edge technologies to boost overall productivity and efficiency.

Region with largest share:

Due to the rising demand for cloud infrastructure in the region and the expanding use of cloud computing for business operations and administration, North America is predicted to dominate the global market for cloud engineering throughout the course of the forecast period. Additionally, due to the region's increasing adoption of cloud computing systems by businesses and the rising need for the slick computing performance that cloud services provide. Since there are so many cloud resources in the area, there is a need to arrange them, which has resulted in an ongoing rise in the market for cloud engineering over the past few years.

Region with highest CAGR:

Over the duration of the projection period, the cloud engineering market in Asia Pacific is anticipated to have highest CAGR due to the region's rapid commercialization of cloud architecture. Due to the expanding understanding of cloud computing advantages in the enterprise sector, cloud engineering is becoming increasingly popular in Asia- Pacific. Over the course of the projection period, the region's rising commercialization of cloud computing is projected to continue to be a key driver for the cloud engineering market.

Key players in the market:

Some of the key players in Cloud Engineering Market include: Infosys, Rapidvalue, Aricent, Engineering Ingegneria, ITC Infotech, Searce, Calsoft, Sogeti, Nitor, Trianz, Voice, Video, Data, Network (VVDN),GFT Technologies, Engineering Ingegneria Informatica SPA and Softcrylic LLC

Key Developments:

In September 2022, IBM launched IBM LinuxONE Bare Metal Servers. With this new solution, the LinuxONE platform may now be deployed in an off-premises IaaS model, including core consolidation, resultant software license savings, and decreased energy consumption to support sustainability goals. LinuxONE Bare Metal Servers are dedicated servers based on the LinuxONE processor architecture known as s390x. Choose from a selection of pre-configured profiles with associated memory and storage allocations to execute workloads on the LinuxONE platform that are very performant.

In September 2022, Microsoft launched the first hyperscale cloud data center region in Qatar, which will help the company do more business in the country.

In July 2022, NetWest Markets formed a partnership with Google Cloud to bolster its data capabilities and customer experiences. With the partnership, NatWest Markets is also looking at how Google Kubernetes Engine can help improve its performance by containerizing application components as it transitions from a monolithic to a microservices architecture.

Service Types Covered:

  • Training and Education
  • Consulting and Design
  • Cloud Storage
  • Cloud Security
  • DevOps
  • Integration and Migration
  • Other Service Types

Service Models Covered:

  • Software-As-A-Service
  • Platform-As-A-Service
  • Infrastructure-As-A-Service

Organization Sizes Covered:

  • Large Enterprises
  • Medium Enterprises
  • Small Enterprises

Deployment Models Covered:

  • Hybrid Cloud
  • Private Cloud
  • Public Cloud

End Users Covered:

  • Energy and Utilities
  • Manufacturing
  • Telecommunication and ITES
  • Banking, Financial Services, and Insurance
  • Retail and Consumer Goods
  • Government and Defense
  • Healthcare and Life Sciences
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2021, 2022, 2023, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 End User Analysis
  • 3.7 Emerging Markets
  • 3.8 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Cloud Engineering Market, By Service Type

  • 5.1 Introduction
  • 5.2 Training and Education
  • 5.3 Consulting and Design
  • 5.4 Cloud Storage
  • 5.5 Cloud Security
  • 5.6 DevOps
  • 5.7 Integration and Migration
  • 5.8 Other Service Types

6 Global Cloud Engineering Market, By Service Model

  • 6.1 Introduction
  • 6.2 Software-As-A-Service
  • 6.3 Platform-As-A-Service
  • 6.4 Infrastructure-As-A-Service

7 Global Cloud Engineering Market, By Organization Size

  • 7.1 Introduction
  • 7.2 Large Enterprises
  • 7.3 Medium Enterprises
  • 7.4 Small Enterprises

8 Global Cloud Engineering Market, By Deployment Model

  • 8.1 Introduction
  • 8.2 Hybrid Cloud
  • 8.3 Private Cloud
  • 8.4 Public Cloud

9 Global Cloud Engineering Market, By End User

  • 9.1 Introduction
  • 9.2 Energy and Utilities
  • 9.3 Manufacturing
  • 9.4 Telecommunication and ITES
  • 9.5 Banking, Financial Services, and Insurance
  • 9.6 Retail and Consumer Goods
  • 9.7 Government and Defense
  • 9.8 Healthcare and Life Sciences
  • 9.9 Other End Users

10 Global Cloud Engineering Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Infosys
  • 12.2 Rapidvalue
  • 12.3 Aricent
  • 12.4 Engineering Ingegneria
  • 12.5 ITC Infotech
  • 12.6 Searce
  • 12.7 Calsoft
  • 12.8 Sogeti
  • 12.9 Nitor
  • 12.10 Trianz
  • 12.11 Voice, Video, Data, Network (VVDN)
  • 12.12 GFT Technologies
  • 12.13 Engineering Ingegneria Informatica SPA
  • 12.14 Softcrylic LLC

List of Tables

  • Table 1 Global Cloud Engineering Market Outlook, By Region (2021-2030) ($MN)
  • Table 2 Global Cloud Engineering Market Outlook, By Service Type (2021-2030) ($MN)
  • Table 3 Global Cloud Engineering Market Outlook, By Training and Education (2021-2030) ($MN)
  • Table 4 Global Cloud Engineering Market Outlook, By Consulting and Design (2021-2030) ($MN)
  • Table 5 Global Cloud Engineering Market Outlook, By Cloud Storage (2021-2030) ($MN)
  • Table 6 Global Cloud Engineering Market Outlook, By Cloud Security (2021-2030) ($MN)
  • Table 7 Global Cloud Engineering Market Outlook, By DevOps (2021-2030) ($MN)
  • Table 8 Global Cloud Engineering Market Outlook, By Integration and Migration (2021-2030) ($MN)
  • Table 9 Global Cloud Engineering Market Outlook, By Other Service Types (2021-2030) ($MN)
  • Table 10 Global Cloud Engineering Market Outlook, By Service Model (2021-2030) ($MN)
  • Table 11 Global Cloud Engineering Market Outlook, By Software-As-A-Service (2021-2030) ($MN)
  • Table 12 Global Cloud Engineering Market Outlook, By Platform-As-A-Service (2021-2030) ($MN)
  • Table 13 Global Cloud Engineering Market Outlook, By Infrastructure-As-A-Service (2021-2030) ($MN)
  • Table 14 Global Cloud Engineering Market Outlook, By Organization Size (2021-2030) ($MN)
  • Table 15 Global Cloud Engineering Market Outlook, By Large Enterprises (2021-2030) ($MN)
  • Table 16 Global Cloud Engineering Market Outlook, By Medium Enterprises (2021-2030) ($MN)
  • Table 17 Global Cloud Engineering Market Outlook, By Small Enterprises (2021-2030) ($MN)
  • Table 18 Global Cloud Engineering Market Outlook, By Deployment Model (2021-2030) ($MN)
  • Table 19 Global Cloud Engineering Market Outlook, By Hybrid Cloud (2021-2030) ($MN)
  • Table 20 Global Cloud Engineering Market Outlook, By Private Cloud (2021-2030) ($MN)
  • Table 21 Global Cloud Engineering Market Outlook, By Public Cloud (2021-2030) ($MN)
  • Table 22 Global Cloud Engineering Market Outlook, By End User (2021-2030) ($MN)
  • Table 23 Global Cloud Engineering Market Outlook, By Energy and Utilities (2021-2030) ($MN)
  • Table 24 Global Cloud Engineering Market Outlook, By Manufacturing (2021-2030) ($MN)
  • Table 25 Global Cloud Engineering Market Outlook, By Telecommunication and ITES (2021-2030) ($MN)
  • Table 26 Global Cloud Engineering Market Outlook, By Banking, Financial Services, and Insurance (2021-2030) ($MN)
  • Table 27 Global Cloud Engineering Market Outlook, By Retail and Consumer Goods (2021-2030) ($MN)
  • Table 28 Global Cloud Engineering Market Outlook, By Government and Defense (2021-2030) ($MN)
  • Table 29 Global Cloud Engineering Market Outlook, By Healthcare and Life Sciences (2021-2030) ($MN)
  • Table 30 Global Cloud Engineering Market Outlook, By Other End Users (2021-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.