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云端服务 ERP

市场调查报告书

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1594840

全球云端 ERP 市场 - 2024-2031

Global Cloud ERP Market - 2024-2031

出版日期: 2024年11月21日 | 出版商:

DataM Intelligence | 英文 208 Pages | 商品交期: 最快1-2个工作天内

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简介目录

概述

全球云端ERP市场2023年达到486.3亿美元，预估至2031年将达1,762.8亿美元，2024-2031年预测期间复合年增长率为17.41%。

对配备先进分析功能的复杂 ERP 解决方案的需求不断增长，以检测延迟和中断等潜在问题，以及人工智慧 (AI) 和机器学习 (ML) 技术在基于云端的企业资源规划开发中的快速整合（ ERP）解决方案被认为是推动市场扩张的重要趋势。

该行业对中小企业的需求正在增加。中小企业利用此类 ERP 系统来促进部门之间的沟通和协作，并透过建立透明度来改善业务运作。它可以将消费者和财务资料整合到一个系统中。 2023 年 3 月，SAP SE 为中型企业推出了基于云端的 ERP 解决方案，以促进有效的业务管理并解决不稳定市场中的问题。

北美市场的成长归因于该地区组织越来越多地采用整合本地和云端基础设施的混合云端解决方案。云端 ERP 解决方案促进与混合配置的无缝集成，使企业能够将本地系统的管理与云端提供的可扩展性合併。将云端 ERP 与分析相集成，使企业能够从资料中获得有用的见解，促进明智的决策，从而推动市场扩张。

动力学

新兴的生成式人工智慧

生成式人工智慧 (GenAI) 透过显着提高效率和优化业务运营，正在彻底改变工作场所的动态和互动。透过将 GenAI 与云端 ERP 系统集成，企业可以提高营运效率、转变决策流程、实施预测演算法并促进自动化和资料分析。此创新技术透过识别流程效率和提供即时资讯来增强组织敏捷性。

此外，在云端 ERP 解决方案中利用人工智慧使企业能够增强基本运营，促进持续学习和适应以实现卓越绩效。 2023 年 10 月，德勤增强了 SAP 商业技术平台 (SAP BTP)，为 ERP 客户提供 GenAI 解决方案。该公司的创新「Clean Core + Edge」依靠云端应用开发和人工智慧能力的集成，协助云端ERP客户提供真正的业务洞察。

此外，2024 年 2 月，Kyndryl 加强了与 Google Cloud 的合作，以加速 GenAI 和 Responsible AI 的发展。此次合作使 Kyndryl 能够利用 Google Cloud Cortex 框架来增强 Google Cloud 上 ERP资料的价值。

分析与云端 ERP 的融合

云端 ERP 提供对组织多个方面的即时洞察，促进快速、更明智的决策。这对于在快速发展的企业中保持竞争力至关重要。所有行业都越来越需要使用具有高级分析功能的复杂 ERP 解决方案，因为它们可以检测延迟和中断。此外，人工智慧和机器学习技术正在被纳入这些产品中，以提供增强和复杂的见解。

它产生客製化的仪表板和报告，提供关键绩效指标 (KPI) 的全面概述。 2023 年 9 月，Oracle 公司推出了 Accounting Hub Analytics，作为 Oracle Fusion ERP Analytics 的一部分，使金融公司能够提供会计资料的见解。 Oracle ERP资料与 Accounting Hub 分类帐应用程式资料的合併为全面分析奠定了坚实的基础。

软体即服务 (Saas) ERP 解决方案的客製化选择受到限制

基于云端的 ERP 系统具有多种优势，包括可扩展性、成本效益和可访问性；然而，他们经常对定製程序施加限制，以满足个别企业的独特需求。 SaaS ERP 解决方案经过精心设计，具有广泛的标准化和适应性，针对广泛的行业和企业。因此，它们可能表现出不够的灵活性和适应性，无法满足某些公司的需求。

不同行业的企业通常拥有独特且复杂的程序，以区别于竞争对手。 SaaS ERP 解决方案由于其标准化方法，可能不接受独特的工作流程，从而需要企业修改现有流程以与软体保持一致，这可能会导致效率低下。 SaaS ERP 系统提供一定程度的客製化，儘管它通常比本地 ERP 解决方案受到更多限制。用户可能会发现大规模更改程式以精确满足自己公司的需求具有挑战性。

The increasing demand for sophisticated ERP solutions equipped with advanced analytics capabilities to detect potential issues like delays and disruptions, along with the swift integration of artificial intelligence (AI) and machine learning (ML) technologies in the development of cloud-based enterprise resource planning (ERP) solutions, are recognized as significant trends driving market expansion.

The sector is experiencing increased demand for small and mid-sized enterprises. Small and medium-sized enterprises utilize such ERP systems to foster communication and collaboration among departments and improve business operations by establishing transparency. It may consolidate both their consumer and financial data into a single system. In March 2023, SAP SE introduced a cloud-based ERP solution for midsize enterprises to facilitate effective business management and address issues in volatile marketplaces.

The market growth in North America is attributable to the increasing adoption of hybrid cloud solutions that integrate on-premises and cloud infrastructures by organizations in the region. Cloud ERP solutions facilitate seamless integration with hybrid configurations, allowing enterprises to merge the management of on-premises systems with the scalability offered by the cloud. Integrating cloud ERP with analytics enables businesses to derive useful insights from their data, facilitating informed decision-making, which will propel market expansion.

Dynamics

Rising Generative AI

Generative AI (GenAI) is revolutionizing workplace dynamics and interactions by markedly improving efficiency and optimizing business operations. By integrating GenAI with cloud ERP systems, firms may enhance operational efficiency, transform decision-making processes, implement predictive algorithms and facilitate automation and data analysis. The innovative technology enhances organizational agility by identifying process efficiencies and providing real-time information.

Moreover, utilizing AI in cloud ERP solutions enables firms to enhance essential operations, facilitating ongoing learning and adaption for superior performance. In October 2023, Deloitte enhanced the SAP Business Technology Platform (SAP BTP) to deliver GenAI solutions to ERP clients. The company's innovation, Clean Core + Edge, relies on cloud application development and the integration of AI capabilities to assist cloud ERP clients in providing genuine business insights.

Furthermore, in February 2024, Kyndryl enhanced its collaboration with Google Cloud to expedite the advancement of GenAI and Responsible AI. The collaboration allowed Kyndryl to utilize the Google Cloud Cortex Framework to enhance the value of ERP data on Google Cloud.

Fusion of Analytics With Cloud ERP

Cloud ERP offers instantaneous insights into multiple facets of the organization, facilitating expedited and more informed decision-making. This is crucial for maintaining competitiveness in rapidly evolving businesses. The increasing necessity to use sophisticated ERP solutions with advanced analytics capabilities is evident across all industries since they can detect delays and disruptions. Furthermore, AI and machine learning technologies are being incorporated into these products to provide enhanced and sophisticated insights.

It produce tailored dashboards and reports, offering a comprehensive overview of Key Performance Indicators (KPIs). In September 2023, Oracle Corporation launched Accounting Hub Analytics as part of Oracle Fusion ERP Analytics to enable financial firms to provide insights into accounting data. The amalgamation of Oracle ERP data with the Accounting Hub sub-ledger application data establishes a robust foundation for comprehensive analysis.

Restricted Customization Choices For Software As A Service (Saas) ERP Solutions

Cloud-based ERP systems provide various benefits, including scalability, cost-effectiveness and accessibility; however, they frequently impose limitations on customizing the program to address the unique requirements of individual enterprises. SaaS ERP solutions are engineered to be extensively standardized and adaptable, targeting a wide array of sectors and enterprises. Consequently, they may exhibit insufficient flexibility and adaptability to meet the needs of certain companies.

Enterprises throughout diverse sectors frequently possess distinctive and intricate procedures that differentiate them from their rivals. SaaS ERP solutions, due to their standardized approach, may not accept unique workflows, necessitating enterprises to modify existing processes to align with the software, which could lead to inefficiencies. SaaS ERP systems provide a certain level of customisation, although it is generally more constrained than that of on-premises ERP solutions. Users may find it challenging to extensively change the program to precisely meet their own company needs.

Segment Analysis

The global cloud ERP market is segmented based on component, business function, organization size, deployment mode, end-user and region.

ERP Innovations and Strategic Partnerships Driving IT & Telecomm Growth

The advent of 5G technology has generated novel prospects for the IT and telecommunications sectors. Cloud ERP providers have begun to emphasize the integration of functionalities for managing and optimizing 5G network resources, hence assuring effective service delivery and enhancing customer experience, which is anticipated to propel market expansion.

In September 2022, Mavenir, a network software supplier, announced the integration of Google Cloud's public cloud infrastructure with cloud-native 5G solutions. Mavenir and Google Cloud's collaboration will empower Communications Service Providers (CSPs) to utilize Google Cloud's scalable infrastructure, advanced data analytics capabilities, container deployment and management tools, as well as 5G applications and solutions. It reduces complexity and costs for CSPs by transitioning segments of conventional telecom application operations to the cloud, without compromising network management, performance or insights.

Geographical Penetration

Cloud ERP Growth And Adoption in Asia-Pacific's Expanding E-Commerce Landscape

Asia-Pacific has experienced rapid growth in digital adoption and e-commerce, with nations like China, India, South Korea and Japan making notable progress in cloud ERP implementation. The technologies encompass cloud-native architecture, metadata-driven multi-tenant architecture and real-time intelligence. Such innovations are anticipated to enhance market expansion in the region.

For instance, in April 2023, Huawei, a manufacturing firm, announced the replacement of its previous ERP system with its fully controlled MetaERP system. 80% of Huawei's business operations and all business contexts are managed with MetaERP. Moreover, Huawei has partnered with collaborators to include innovative technologies into the MetaERP system, significantly enhancing service efficiency and operational quality.

Chinese enterprises are seeking to modernize their operations and compete on a global scale, frequently opting for Cloud ERP solutions as a cost-efficient and scalable approach to accomplish this objective. Furthermore, when enterprises grow, they necessitate ERP systems that oversee intricate operations across several areas and adhere to differing regulatory standards. The proliferation of enterprises into burgeoning domestic marketplaces enhances the utilization of Cloud ERP solutions.

Competitive Landscape

The major global players in the market include Oracle, Microsoft, SAP, Workday, Infor, IFS, Plex Systems, Epicor Software Corporation, Sage Group and Ramco Systems.

Russia-Ukraine War Impact Analysis

The Russia-Ukraine crisis has significantly influenced the Cloud ERP market, particularly regarding cybersecurity and data protection. Organizations are currently emphasizing cyber resilience due to the rising frequency of advanced cyberattacks from state-sponsored hacker collectives like REvil and Emissary Panda. The threats have highlighted the necessity for enterprises to implement a risk-based strategy to detect vulnerabilities in their defense mechanisms and to conduct cyber threat intelligence (CTI) evaluations.

As a result, enterprises are allocating increased resources towards comprehensive cybersecurity measures for their Cloud ERP systems, particularly in hybrid and multi-cloud settings where threat surveillance is essential. Artificial intelligence (AI) is significantly enhancing Cloud ERP security. AI and machine learning (ML) tools are becoming indispensable for identifying and alleviating risks on cloud platforms like Azure, AWS and M365.

Companies such as Vectra are offering complimentary AI-driven detection solutions to enterprises affected by the conflict, facilitating swift threat identification and action to avert significant harm from possible cyber catastrophes. By sifting through the complexities of IT settings, AI facilitates the rapid detection of anomalous activities, which is essential given the heightened danger of cyberattacks on Cloud ERP infrastructures due to escalating geopolitical tensions.

Component

Solutions
Services

Business Function

Finance & Accounting
Order & Procurement
Sales & Marketing
Operations
Human Resources
Enterprises Performance
Others

Organization Size

Large Enterprises
SMEs

Deployment Mode

Public Cloud
Private Cloud
Hybrid Cloud

End-User

BFSI
IT & Telecom
Government & Defense
Retail
Manufacturing
Education
Healthcare & Life Sciences
Other

By Region

North America
- US
- Canada
- Mexico
Europe
- Germany
- UK
- France
- Italy
- Spain
- Rest of Europe
South America
- Brazil
- Argentina
- Rest of South America
Asia-Pacific
- China
- India
- Japan
- Australia
- Rest of Asia-Pacific
Middle East and Africa

Key Developments

In April 2024, Truckin Digital introduced their 2024 Trucking Software ERP (Enterprise Resource Planning) suite. This sophisticated program is designed to improve trucking operational efficiency and optimize trucking processes with advanced technologies. It provides functionalities including all aspects of transportation business, from planning and dispatching to accounting.
In July 2024, SAP partnered with Indigi Consulting and Solutions Private Limited to introduce Grow with SAP, a cloud-based enterprise resource planning (ERP) solution. This ERP solution is tailored for small and medium-sized enterprises in India, especially in the West Bengal area. It seeks to enhance the growth aspirations of these organizations by offering a robust and scalable IT infrastructure driven by advanced innovation.
In September 2023 oracle unveiled the Fusion Data Intelligence Platform, an advanced data, analytics and AI platform designed to assist Oracle Fusion Cloud Applications clients in attaining superior business outcomes through the integration of data-driven insights with intelligent decision-making and actions.
In July 2023, Microsoft launched Dynamics 365 Copilot, the first AI copilot integrated into cloud-based CRM and ERP systems, aimed at enhancing processes, revealing insights, determining optimal subsequent actions and minimizing time allocated to administrative duties. Organizations dependent on on-premise applications would find it challenging to compete with counterparts adopting AI-driven technology in the cloud.

Why Purchase the Report?

To visualize the global cloud ERP market segmentation based on component, business function, organization size, deployment mode, end-user and region, as well as understand key commercial assets and players.
Identify commercial opportunities by analyzing trends and co-development.
Excel spreadsheet containing a comprehensive dataset of the cloud ERP market, covering all levels of segmentation.
PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
Product mapping available as excel consisting of key products of all the major players.

The global cloud ERP market report would provide approximately 78 tables, 79 figures and 208 pages

Target Audience 2024

Manufacturers/ Buyers
Industry Investors/Investment Bankers
Research Professionals
Emerging Companies

1. Methodology and Scope

1.1. Research Methodology
1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

3.1. Snippet by Component
3.2. Snippet by Business Function
3.3. Snippet by Organization Size
3.4. Snippet by Deployment Mode
3.5. Snippet by End-User
3.6. Snippet by Region

4. Dynamics

4.1. Impacting Factors
- 4.1.1. Drivers
  - 4.1.1.1. Rising Generative AI
  - 4.1.1.2. Fusion of Analytics With Cloud ERP
- 4.1.2. Restraints
  - 4.1.2.1. Restricted Customization Choices For Software As A Service (Saas) ERP Solutions
- 4.1.3. Opportunity
- 4.1.4. Impact Analysis

5. Industry Analysis

5.1. Porter's Five Force Analysis
5.2. Supply Chain Analysis
5.3. Pricing Analysis
5.4. Regulatory Analysis
5.5. Russia-Ukraine War Impact Analysis
5.6. DMI Opinion

6. COVID-19 Analysis

6.1. Analysis of COVID-19
- 6.1.1. Scenario Before COVID-19
- 6.1.2. Scenario During COVID-19
- 6.1.3. Scenario Post COVID-19
6.2. Pricing Dynamics Amid COVID-19
6.3. Demand-Supply Spectrum
6.4. Government Initiatives Related to the Market During Pandemic
6.5. Manufacturers Strategic Initiatives
6.6. Conclusion

7. By Component

7.1. Introduction
- 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 7.1.2. Market Attractiveness Index, By Component
7.2. Solutions*
- 7.2.1. Introduction
- 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
7.3. Services

8. By Business Function

8.1. Introduction
- 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Business Function
- 8.1.2. Market Attractiveness Index, By Business Function
8.2. Finance & Accounting*
- 8.2.1. Introduction
- 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
8.3. Order & Procurement
8.4. Sales & Marketing
8.5. Operations
8.6. Human Resources
8.7. Enterprises Performance
8.8. Others

9. By Organization Size

9.1. Introduction
- 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 9.1.2. Market Attractiveness Index, By Organization Size
9.2. Large Enterprises*
- 9.2.1. Introduction
- 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
9.3. SMEs

10. By Deployment Mode

10.1. Introduction
- 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
- 10.1.2. Market Attractiveness Index, By Deployment Mode
10.2. Public Cloud*
- 10.2.1. Introduction
- 10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
10.3. Private Cloud
10.4. Hybrid Cloud

11. By End-User

11.1. Introduction
- 11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 11.1.2. Market Attractiveness Index, By End-User
11.2. BFSI*
- 11.2.1. Introduction
- 11.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
11.3. IT & Telecom
11.4. Government & Defense
11.5. Retail
11.6. Manufacturing
11.7. Education
11.8. Healthcare & Life Sciences
11.9. Other

12. By Region

12.1. Introduction
- 12.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
- 12.1.2. Market Attractiveness Index, By Region
12.2. North America
- 12.2.1. Introduction
- 12.2.2. Key Region-Specific Dynamics
- 12.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 12.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Business Function
- 12.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 12.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
- 12.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 12.2.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 12.2.8.1. US
  - 12.2.8.2. Canada
  - 12.2.8.3. Mexico
12.3. Europe
- 12.3.1. Introduction
- 12.3.2. Key Region-Specific Dynamics
- 12.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 12.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Business Function
- 12.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 12.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
- 12.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 12.3.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 12.3.8.1. Germany
  - 12.3.8.2. UK
  - 12.3.8.3. France
  - 12.3.8.4. Italy
  - 12.3.8.5. Spain
  - 12.3.8.6. Rest of Europe
12.4. South America
- 12.4.1. Introduction
- 12.4.2. Key Region-Specific Dynamics
- 12.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 12.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Business Function
- 12.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 12.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
- 12.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 12.4.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 12.4.8.1. Brazil
  - 12.4.8.2. Argentina
  - 12.4.8.3. Rest of South America
12.5. Asia-Pacific
- 12.5.1. Introduction
- 12.5.2. Key Region-Specific Dynamics
- 12.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 12.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Business Function
- 12.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 12.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
- 12.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 12.5.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 12.5.8.1. China
  - 12.5.8.2. India
  - 12.5.8.3. Japan
  - 12.5.8.4. Australia
  - 12.5.8.5. Rest of Asia-Pacific
12.6. Middle East and Africa
- 12.6.1. Introduction
- 12.6.2. Key Region-Specific Dynamics
- 12.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 12.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Business Function
- 12.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Organization Size
- 12.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment Mode
- 12.6.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User

13. Competitive Landscape

13.1. Competitive Scenario
13.2. Market Positioning/Share Analysis
13.3. Mergers and Acquisitions Analysis

14. Company Profiles

14.1. Oracle*
- 14.1.1. Company Overview
- 14.1.2. Product Portfolio and Description
- 14.1.3. Financial Overview
- 14.1.4. Key Developments
14.2. Microsoft
14.3. SAP
14.4. Workday
14.5. Infor
14.6. IFS
14.7. Plex Systems
14.8. Epicor Software Corporation
14.9. Sage Group
14.10. Ramco Systems

LIST NOT EXHAUSTIVE