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雲端服務 ERP

市場調查報告書

商品編碼

1594840

全球雲端 ERP 市場 - 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個工作天內

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簡介目錄

概述

全球雲端ERP市場2023年達到486.3億美元，預估至2031年將達1,762.8億美元，2024-2031年預測期間複合年成長率為17.41%。

對配備先進分析功能的複雜 ERP 解決方案的需求不斷成長，以檢測延遲和中斷等潛在問題，以及人工智慧 (AI) 和機器學習 (ML) 技術在基於雲端的企業資源規劃開發中的快速整合（ ERP）解決方案被認為是推動市場擴張的重要趨勢。

該行業對中小企業的需求正在增加。中小企業利用此類 ERP 系統來促進部門之間的溝通和協作，並透過建立透明度來改善業務運作。它可以將消費者和財務資料整合到一個系統中。 2023 年 3 月，SAP SE 為中型企業推出了基於雲端的 ERP 解決方案，以促進有效的業務管理並解決不穩定市場中的問題。

北美市場的成長歸因於該地區組織擴大採用整合本地和雲端基礎設施的混合雲端解決方案。雲端 ERP 解決方案促進與混合配置的無縫整合，使企業能夠將本地系統的管理與雲端提供的可擴展性合併。將雲端 ERP 與分析相整合，使企業能夠從資料中獲得有用的見解，促進明智的決策，從而推動市場擴張。

動力學

新興的生成式人工智慧

生成式人工智慧 (GenAI) 透過顯著提高效率和最佳化業務營運，正在徹底改變工作場所的動態和互動。透過將 GenAI 與雲端 ERP 系統整合，企業可以提高營運效率、轉變決策流程、實施預測演算法並促進自動化和資料分析。此創新技術透過識別流程效率和提供即時資訊來增強組織敏捷性。

此外，在雲端 ERP 解決方案中利用人工智慧使企業能夠增強基本營運，促進持續學習和適應以實現卓越績效。 2023 年 10 月，德勤增強了 SAP 商業技術平台 (SAP BTP)，為 ERP 客戶提供 GenAI 解決方案。該公司的創新「Clean Core + Edge」依靠雲端應用開發和人工智慧能力的整合，協助雲端ERP客戶提供真正的業務洞察。

此外，2024 年 2 月，Kyndryl 加強了與 Google Cloud 的合作，以加速 GenAI 和 Responsible AI 的發展。此次合作使 Kyndryl 能夠利用 Google Cloud Cortex 框架來增強 Google Cloud 上 ERP資料的價值。

分析與雲端 ERP 的融合

雲端 ERP 提供對組織多個方面的即時洞察，促進快速、更明智的決策。這對於在快速發展的企業中保持競爭力至關重要。所有行業都越來越需要使用具有高級分析功能的複雜 ERP 解決方案，因為它們可以檢測延遲和中斷。此外，人工智慧和機器學習技術正在被納入這些產品中，以提供增強和複雜的見解。

它產生客製化的儀表板和報告，提供關鍵績效指標 (KPI) 的全面概述。 2023 年 9 月，Oracle 公司推出了 Accounting Hub Analytics，作為 Oracle Fusion ERP Analytics 的一部分，使金融公司能夠提供會計資料的見解。 Oracle ERP資料與 Accounting Hub 分類帳應用程式資料的合併為全面分析奠定了堅實的基礎。

軟體即服務 (Saas) ERP 解決方案的客製化選擇受到限制

基於雲端的 ERP 系統具有多種優勢，包括可擴展性、成本效益和可訪問性；然而，他們經常對定製程序施加限制，以滿足個別企業的獨特需求。 SaaS ERP 解決方案經過精心設計，具有廣泛的標準化和適應性，針對廣泛的行業和企業。因此，它們可能表現出不夠的靈活性和適應性，無法滿足某些公司的需求。

不同行業的企業通常擁有獨特且複雜的程序，以區別於競爭對手。 SaaS ERP 解決方案由於其標準化方法，可能不接受獨特的工作流程，從而需要企業修改現有流程以與軟體保持一致，這可能會導致效率低下。 SaaS ERP 系統提供一定程度的客製化，儘管它通常比本地 ERP 解決方案受到更多限制。用戶可能會發現大規模更改程式以精確滿足自己公司的需求具有挑戰性。

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