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クラウドERPの世界市場-2024-2031

Global Cloud ERP Market - 2024-2031

出版日
ページ情報
英文 208 Pages
納期
即日から翌営業日
カスタマイズ可能
適宜更新あり
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=145.28円
クラウドERPの世界市場-2024-2031
出版日: 2024年11月21日
発行: DataM Intelligence
ページ情報: 英文 208 Pages
納期: 即日から翌営業日
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概要

概要

クラウドERPの世界市場は、2023年に486億3,000万米ドルに達し、2031年には1,762億8,000万米ドルに達すると予測され、予測期間2024年～2031年のCAGRは17.41％で成長する見込みです。

クラウドベースの企業資源計画（ERP）ソリューション開拓における人工知能（AI）および機械学習（ML）技術の迅速な統合とともに、遅延や混乱などの潜在的な問題を検出する高度な分析機能を備えた洗練されたERPソリューションに対する需要の増加が、市場拡大を促進する重要な動向として認識されています。

この分野では、中小企業の需要が増加しています。中小企業はこうしたERPシステムを活用することで、部門間のコミュニケーションやコラボレーションを促進し、透明性を確立することで業務を改善します。消費者データと財務データの両方を単一のシステムに統合することもできます。2023年3月、SAP SEは中堅企業向けのクラウドベースのERPソリューションを発表し、効果的なビジネス管理を促進し、不安定なマーケットプレースの問題に対処します。

北米市場の成長は、オンプレミスとクラウドのインフラを統合するハイブリッドクラウドソリューションの採用が同地域の企業で増加していることに起因します。クラウドERPソリューションは、ハイブリッド構成とのシームレスな統合を促進し、企業はオンプレミスシステムの管理とクラウドが提供するスケーラビリティを統合することができます。クラウドERPとアナリティクスを統合することで、企業はデータから有用な知見を導き出し、情報に基づいた意思決定を行うことができるようになり、市場の拡大を促進します。

ダイナミクス

ジェネレーティブAIの台頭

ジェネレーティブAI（GenAI）は、効率を大幅に改善し、業務を最適化することで、職場のダイナミクスとインタラクションに革命をもたらしています。GenAIをクラウドERPシステムと統合することで、企業は業務効率を高め、意思決定プロセスを変革し、予測アルゴリズムを実装し、自動化とデータ分析を促進することができます。この革新的なテクノロジーは、プロセスの効率性を特定し、リアルタイムの情報を提供することで、組織の俊敏性を高めます。

さらに、クラウドERPソリューションにAIを活用することで、企業は本質的なオペレーションを強化し、継続的な学習と優れたパフォーマンスへの適応を促進することができます。2023年10月、デロイトはERPクライアントにGenAIソリューションを提供するため、SAP Business Technology Platform（SAP BTP）を強化しました。同社のイノベーションであるClean Core+Edgeは、クラウドアプリケーション開発とAI機能の統合に依存し、クラウドERPクライアントが真のビジネスインサイトを提供できるよう支援します。

さらに、2024年2月、KyndrylはGenAIとResponsible AIの進歩を促進するためにGoogle Cloudとの連携を強化しました。この協業により、KyndrylはGoogle Cloud Cortex Frameworkを活用し、Google Cloud上のERPデータの価値を高めることができるようになった。

クラウドERPとアナリティクスの融合

クラウドERPは、組織の多面的な洞察を瞬時に提供し、迅速でより多くの情報に基づいた意思決定を促進します。これは、急速に進化するビジネスの競争力を維持するために非常に重要です。高度な分析機能を備えた洗練されたERPソリューションを使用する必要性が高まっていることは、あらゆる業界において明らかです。さらに、AIや機械学習技術をこれらの製品に組み込むことで、より高度で洗練された洞察を提供できるようになっています。

オーダーメイドのダッシュボードやレポートを作成し、主要業績評価指標（KPI）の包括的な概要を提供します。2023年9月、オラクル株式会社はOracle Fusion ERP Analyticsの一部としてAccounting Hub Analyticsを発表し、金融会社が会計データに対する洞察を提供できるようにしました。Oracle ERPデータとAccounting Hubのサブ帳票アプリケーション・データの融合により、包括的な分析のための強固な基盤が確立されます。

Saas（Software As A Service）型ERPソリューションではカスタマイズの選択肢が制限される

クラウドベースのERPシステムは、拡張性、費用対効果、アクセシビリティなど、さまざまなメリットを提供しますが、個々の企業固有の要件に対応するためのプログラムのカスタマイズに制約が生じることがよくあります。SaaS型ERPソリューションは、広範な業種や企業を対象に、広範囲に標準化され、適応できるように設計されています。そのため、特定の企業のニーズを満たすには、柔軟性や適応性が不十分な場合があります。

多様なセクターの企業は、ライバルと差別化するための独特で複雑な手順を頻繁に持っています。SaaSのERPソリューションは、その標準化されたアプローチのために、企業が非効率につながる可能性があり、ソフトウェアに合わせて既存のプロセスを変更する必要があり、ユニークなワークフローを受け入れない場合があります。SaaS型ERPシステムは、一定レベルのカスタマイズを提供するが、一般的にオンプレミス型ERPソリューションよりも制約が多いです。ユーザーは、自社のニーズを的確に満たすためにプログラムを広範囲に変更することは困難であると感じるかもしれないです。

目次

第1章 調査手法と調査範囲

第2章 定義と概要

第3章 エグゼクティブサマリー

第4章 市場力学

  • 影響要因
    • 促進要因
      • 生成型AIの台頭
      • アナリティクスとクラウドERPの融合
    • 抑制要因
      • サービスとしてのソフトウェア（Saas）ERPソリューションのカスタマイズの選択肢が制限されている
    • 機会
    • 影響分析

第5章 産業分析

  • ポーターのファイブフォース分析
  • サプライチェーン分析
  • 価格分析
  • 規制分析
  • ロシア・ウクライナ戦争の影響分析
  • DMIの見解

第6章 COVID-19分析

第7章 コンポーネント別

  • ソリューション
  • サービス

第8章 業務機能別

  • 財務・会計
  • 注文・調達
  • セールス・マーケティング
  • オペレーション
  • 人事
  • 企業業績
  • その他

第9章 組織規模別

  • 大企業
  • 中小企業

第10章 展開モード別

  • パブリッククラウド
  • プライベートクラウド
  • ハイブリッドクラウド

第11章 エンドユーザー別

  • BFSI
  • IT・通信
  • 政府・防衛
  • 小売り
  • 製造業
  • 教育
  • ヘルスケア・ライフサイエンス
  • その他

第12章 地域別

  • 北米
    • 米国
    • カナダ
    • メキシコ
  • 欧州
    • ドイツ
    • 英国
    • フランス
    • イタリア
    • スペイン
    • その他欧州地域
  • 南米
    • ブラジル
    • アルゼンチン
    • その他南米
  • アジア太平洋地域
    • 中国
    • インド
    • 日本
    • オーストラリア
    • その他アジア太平洋地域
  • 中東・アフリカ

第13章 競合情勢

  • 競合シナリオ
  • 市況・シェア分析
  • M&A分析

第14章 企業プロファイル

  • Oracle
    • 会社概要
    • 製品ポートフォリオと概要
    • 財務概要
    • 主な発展
  • Microsoft
  • SAP
  • Workday
  • Infor
  • IFS
  • Plex Systems
  • Epicor Software Corporation
  • Sage Group
  • Ramco Systems

第15章 付録

目次
Product Code: ICT8744

Overview

Global Cloud ERP Market reached US$ 48.63 billion in 2023 and is expected to reach US$ 176.28 billion by 2031, growing with a CAGR of 17.41% during the forecast period 2024-2031.

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

Table of Contents

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

15. Appendix

  • 15.1. About Us and Services
  • 15.2. Contact Us