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市場調查報告書
商品編碼
2072582

製造營運管理軟體：市場佔有率分析、產業趨勢與統計、成長預測（2026-2031）

Manufacturing Operations Management Software - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2026 - 2031)
出版日期: | 出版商: Mordor Intelligence | 英文 153 Pages | 商品交期: 2-3個工作天內

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簡介目錄

根據 Mordor Intelligence 預測，製造業營運管理軟體市場規模將從 2025 年的 196.3 億美元和 2026 年的 231.3 億美元成長到 2031 年的 525.9 億美元，2026 年至 2031 年的年複合成長率（CAGR）為 17.85%。

製造營運管理軟體市場-IMG1

本報告按部署類型（本地部署、雲端部署、混合部署）、元件（軟體、服務）、企業規模（大型企業、中小企業）、功能類型（製造執行系統、計畫與調度、其他）、最終用戶產業（航太、其他）和地區進行細分。市場預測以美元計價。

全球製造營運管理軟體市場趨勢與洞察

人工智慧驅動的即時生產最佳化正在重新定義吞吐量經濟學的概念。

人工智慧的應用範圍已不再局限於簡單的維護警報，而是正在成為製造營運管理軟體市場中即時吞吐量控制的實用工具。生產調度系統正在加速遙測資料、需求變化和機器狀態資料的近即時整合，使工廠能夠比靜態調度邏輯更快地重新安排工作。施耐德電機和微軟在2026年漢諾威工業博覽會上展示了這一方向，透過現場演示，他們的工業輔助駕駛系統將控制設置和文件記錄時間縮短了高達50%。 2026年5月，艾默生透過AspenTech AVA進一步推進了這個主題，將基於第一原理的工業模型與大規模語言模型相結合，使操作員能夠在操作工作流程中根據建議採取行動。這意義重大，因為在執行層部署人工智慧的製造商可以縮短從偏差檢測到糾正措施的時間，從而在整個重複生產週期中提高整體設備效率（OEE）。

工業4.0和智慧工廠的擴張正在推動對平台的持續投資。

工業4.0計畫不再是孤立的先導計畫，而是融入工廠發展藍圖，這拓展了製造營運管理軟體市場的作用，使其涵蓋整個核心生產環境。數位雙胞胎、連網設備和即時分析不再只是實驗性的嘗試，而是作為營運基礎設施加以實施。印度在這一轉變中扮演著至關重要的角色。根據羅克韋爾自動化2026年的調查，97%的印度製造商認為數位轉型至關重要，而高投資的受訪者在工業技術方面的營運預算投入遠高於全球同行。大規模、多站點部署也變得越來越普遍，例如西門子能源利用SAP數位製造實現了旗下70多家工廠營運的標準化。這一趨勢支持更長期的投資週期，因為智慧工廠專案現在依賴一個永續的平台層，該平台層能夠將整個工廠網路中的營運、品質和分析連接起來。

現有設備的整合以及資料模型的複雜性仍然是實施過程中最大的障礙。

棕地的複雜性仍然是製造營運管理軟體市場面臨的最大營運限制因素。這是因為大多數已部署的工業資產在設計之初並未考慮現代雙向資料交換。工廠目前仍然混合使用PLC、SCADA系統、傳統現場匯流排和專有機器協議，因此需要分層連接才能使整合執行系統可靠運作。 2026年《國際先進製造技術雜誌》的紙本版顯示，即使缺乏現代介面，也可以透過使用Modbus TCP、MQTT中間件、舊有系統和分層同步的多層架構來實現傳統系統的整合。然而，這一系列流程不僅會延長部署時間，還會增加工廠實現價值之前所需的邊緣標準化、資料清洗和映射工作量。這也解釋了為什麼在擁有大量舊有系統和客製化基礎設施的工廠中，整個平台的投資回報期可能會延遲18到36個月。

細分市場分析

至2025年，本地部署仍佔製造營運管理軟體市場佔有率的45.23%。這反映出受監管場所的日益普遍，這些場所仍然傾向於檢驗的本地控制，而不是遠端應用程式託管。在製藥、航太、半導體和其他嚴格控制的環境中，由於資料主權、網路安全措施和驗證程序等原因，核心執行系統仍然保留在本地，這減緩了遷移的步伐。這種部署基礎解釋了為什麼儘管新的投資重點發生了變化，但到2025年，製造營運管理軟體市場中仍然存在大量傳統基礎設施。西門子將Opcenter X定位為面向尋求更模組化、更順暢的數位化執行路徑的中小型離散製造企業的雲端原生SaaS解決方案。

預計從2026年到2031年，雲端採用率將以17.97%的複合年成長率成長，成為製造營運管理軟體市場中成長最快的細分領域。這項轉變的驅動力來自訂閱式經營模式、跨站點快速部署範本以及利用共用過程模式實現工廠間更便捷的基準測試。西門子能源已利用SAP數位化製造解決方案實現了70多家工廠流程的標準化，這清楚地展現了雲端解決方案為何對那些需要網路級可視性而非孤立的工廠級運營的製造商具有吸引力。混合部署也正在蓬勃發展，因為它能夠在明確的現場執行與雲端基礎設施所能提供的規模化報告和分析之間取得平衡。

到2025年，軟體將佔組件的67.34%，這反映了已部署製造平台中已建立的授權和訂閱收入規模。這一佔有率確保了製造營運管理軟體市場仍然以平台所有者和持續的應用價值為中心，而非單純的專案收入。儘管如此，服務業仍持續快速擴張，因為與現有系統整合、數據協調、用戶實施和現場部署都需要實際操作支援。布勒公司在其奧澤維爾工廠實施的SAP數位化製造系統表明，實施服務是隨後拓展中國、德國和英國市場的關鍵。

預計服務市場將以 18.14% 的複合年成長率成長，使其成為 2026 年至 2031 年間製造營運管理軟體市場成長最快的細分領域之一。如今，託管服務透過在法規環境中提供連接器監控、更新管理和運轉率保障等服務，在系統運作繼續維護與供應商的關係。 IGZ 和 United Manufacturing Hub 已證明，將 SAP 數位製造與支援 150 多種 IT 和 OT 協議的數據平台相結合，可顯著降低整合複雜性並縮短機器部署時間。這種結合軟體供應商、實施合作夥伴和託管服務層的模式，正逐漸成為大型企業部署的標準業務結構。

區域分析

到2025年，北美將佔據製造業營運管理軟體市場33.52%的佔有率，成為銷售額最大的地區。美國的優勢地位得益於其在製藥、航太、半導體和國防等產業的生產基地集中，這些產業對電子記錄和工廠級可追溯性有著嚴格的控制要求。此外，製造業回流和近岸外包也促使新建和維修工廠對執行系統進行標準化。在加拿大和墨西哥，隨著汽車和工業走廊與美國在通用供應鏈標準方面合作，市場需求也不斷成長。該地區還受益於成熟的整合商和管理服務生態系統，與OT-IT人才仍然有限的市場相比，這些生態系統可以縮短引進週期。

預計亞太地區將以17.88%的複合年成長率成長，成為2026年至2031年間製造營運管理軟體市場成長最快的區域，並有望成為未來成長的最大驅動力。在中國和印度，隨著汽車、電子和工業設備產業的工廠不斷擴展其數位化生產模式，雲端平台和混合平台的潛在基本客群正在擴大。根據羅克韋爾自動化2026年印度調查，97%的印度製造商認為數位轉型至關重要，高支出受訪者在工業技術方面的營運預算投入遠高於全球同業。這一點意義重大，因為亞太地區的待開發區和快速擴張的工廠可以實施新的執行模式，而無需像老舊工業園區那樣進行舊有系統整合。日本和韓國仍然是高價值市場，半導體和汽車行業的精確性正在推動對可靠執行控制和強大網路安全措施的需求。

在製造營運管理軟體市場，歐洲仍然是一個高度合規的區域叢集，以德國主導，英國、法國和義大利也給予支援。歐盟《網路彈性法案》加強了文件和報告要求，這將影響在歐洲銷售產品的工業企業的供應商選擇和系統結構。中東地區正受益於沙烏地阿拉伯和阿拉伯聯合大公國的待開發區多元化項目，而以南非和埃及主導的非洲仍處於起步階段。在南美洲，需求集中在巴西的汽車和食品加工產業叢集，這些地區的追溯需求與預先配置的雲端部署模式高度契合。

其他好處

  • Excel格式的市場預測（ME）表
  • 3個月的分析師支持

目錄

第1章：引言

  • 研究假設和市場定義
  • 調查範圍

第2章：調查方法

第3章執行摘要

第4章 市場狀況

  • 市場概覽
  • 市場促進因素
    • 人工智慧驅動的即時生產最佳化
    • 工業4.0和智慧工廠的擴張
    • 雲端原生和混合 MOM 實現
    • 加強有關品質和可追溯性的法規
    • 數位產品護照準備狀態
    • 一款支援現場決策的執行級人工智慧副駕駛系統。
  • 市場限制因素
    • 與現有系統的整合以及資料模型的複雜性
    • 缺乏OT-IT技能以及變革管理中的摩擦
    • 《網路韌性法案》和 SBOM 合規性的負擔
    • 可用於檢查的數位記錄架構的成本
  • 產業價值鏈分析
  • 監理情勢
  • 技術展望
  • 宏觀經濟因素對市場的影響
  • 波特五力分析

第5章 市場規模與成長預測

  • 按實現類型
    • 現場
    • 雲
    • 混合
  • 按組件
    • 軟體
    • 服務
  • 按公司規模
    • 大公司
    • 小型企業
  • 依功能類型
    • 製造執行系統（MES）
    • 規劃和進度安排
    • 品質流程管理
    • 庫存管理
    • 其他職能類型（勞動力管理、分析）
  • 按最終用戶行業分類
    • 航太
    • 車
    • 製藥
    • 醫療設備
    • 化學品
    • 飲食
    • 消費品
    • 其他
  • 按地區
    • 北美洲
      • 美國
      • 加拿大
      • 墨西哥
    • 歐洲
      • 英國
      • 德國
      • 法國
      • 義大利
      • 其他歐洲國家
    • 亞太地區
      • 中國
      • 日本
      • 印度
      • 韓國
      • 其他亞太國家
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 土耳其
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 其他非洲國家
    • 南美洲
      • 巴西
      • 阿根廷
      • 南美洲其他地區

第6章 競爭情勢

  • 市場集中度
  • 策略趨勢
  • 市佔率分析
  • 公司簡介
    • ABB Ltd.
    • Rockwell Automation, Inc.
    • AVEVA Group plc
    • Dassault Systems SE
    • SAP SE
    • Emerson Electric Co.
    • Siemens Digital Industries Software
    • GE Vernova
    • Schneider Electric SE
    • Plex Systems, Inc.
    • Parsec Automation Corp.
    • Accevo Systems（ANT Solutions）
    • SYSPRO Inc.
    • Aegis Software Inc.
    • SedApta Srl
    • Infor Inc.
    • MPDV Mikrolab GmbH
    • iTAC Software Inc.
    • ATS Global

第7章 市場機會與未來展望

簡介目錄
Product Code: 94920

According to Mordor Intelligence, the manufacturing operations management software market size is projected to expand from USD 19.63 billion in 2025 and USD 23.13 billion in 2026 to USD 52.59 billion by 2031, registering a CAGR of 17.85% between 2026 and 2031.

Manufacturing Operations Management Software - Market - IMG1

This report is Segmented by Deployment Mode (On-Premises, Cloud, and Hybrid), Component (Software, and Services), Enterprise Size (Large Enterprises, and Small and Medium Enterprises), Function Type (Manufacturing Execution System, Planning and Scheduling, and More), End-User Industry (Aerospace, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Manufacturing Operations Management Software Market Trends and Insights

AI-Driven Real-Time Production Optimization Is Redefining Throughput Economics

AI has moved beyond maintenance alerts and is becoming a practical tool for real-time throughput control in the manufacturing operations management software market. Production scheduling systems are increasingly combining telemetry, demand changes, and machine-state data in near real time, enabling plants to resequence work faster than static dispatch logic can manage. Schneider Electric and Microsoft showed this direction at Hannover Messe 2026, where their industrial copilot reduced control configuration and documentation time by up to 50% in live demonstrations. Emerson pushed the same theme further with AspenTech AVA in May 2026, combining first-principles industrial models with large language models so operators can act on recommendations inside operational workflows. This matters because manufacturers that place AI inside the execution layer can reduce the time between deviation detection and corrective action, which compounds into stronger OEE performance over repeated production cycles.

Industry 4.0 And Smart Factory Expansion Drive Sustained Platform Investment

Industry 4.0 programs are now tied to plant roadmaps rather than isolated pilot projects, which is expanding the role of the manufacturing operations management software market across core production environments. Digital twins, connected equipment, and real-time analytics are being deployed as operating infrastructure, not optional experiments. India is becoming important in this shift because Rockwell Automation's 2026 findings showed that 97% of Indian manufacturers considered digital transformation essential, while high-spend respondents allocated materially more operating budget to industrial technology than their global peers. Large multi-site rollouts are also becoming more common, as shown by Siemens Energy's use of SAP Digital Manufacturing to standardize execution across more than 70 plants. This pattern supports a longer investment cycle because smart factory programs now depend on persistent platform layers that can connect execution, quality, and analytics across a full network of facilities.

Brownfield Integration And Data Model Complexity Remain The Primary Adoption Brake

Brownfield complexity remains the largest operating constraint on the manufacturing operations management software market because most installed industrial assets were not designed for modern bidirectional data exchange. Plants still run a mix of PLCs, SCADA systems, legacy fieldbuses, and proprietary machine protocols, which require staged connections before unified execution systems can function reliably. A 2026 paper in The International Journal of Advanced Manufacturing Technology showed that even when modern interfaces are missing, legacy integration can still be achieved through a multi-step architecture using Modbus TCP, MQTT middleware, buffering, and phased synchronization. That kind of sequence extends deployment timelines and increases the amount of edge normalization, data cleansing, and mapping required before the value is visible to the plant. It also explains why full-platform ROI can be delayed by 18 to 36 months in sites with extensive legacy, customized infrastructure.

Other drivers and restraints analyzed in the detailed report include:

  1. Cloud-Native And Hybrid MOM Adoption Accelerates Across Enterprise Tiers
  2. Tighter Quality And Traceability Mandates Structurally Expand MOM Scope
  3. OT-IT Skills Shortage And Change Management Friction Slow Platform ROI

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

On-premises deployment accounted for 45.23% of the manufacturing operations management software market share in 2025, reflecting the weight of regulated sites that still prefer validated local control over remote application hosting. In pharmaceutical, aerospace, semiconductor, and other tightly controlled environments, core execution systems remained on site due to data sovereignty, cybersecurity policies, and validation routines, slowing migration. This installed base explains why the manufacturing operations management software market still carried substantial legacy infrastructure in 2025, even as new investment priorities changed. Siemens positioned Opcenter X as a cloud-native SaaS offering for smaller discrete manufacturers seeking a more modular, lower-friction path to digital execution.

Cloud deployment is forecast to grow at a 17.97% CAGR, making it the fastest-growing segment of the manufacturing operations management software market during 2026-2031. This shift is being supported by subscription economics, faster template rollout across sites, and easier benchmarking between plants using shared process models. Siemens Energy standardized processes across more than 70 plants using SAP Digital Manufacturing, underscoring why cloud delivery is attractive for manufacturers that need network-level visibility rather than plant-by-plant isolation. Hybrid deployment is also gaining ground because it balances deterministic shop-floor execution with the scale of reporting and analytics that cloud infrastructure can deliver.

Software accounted for 67.34% of the component mix in 2025, reflecting the scale of licensing and subscription revenue already established across installed manufacturing platforms. That share kept the manufacturing operations management software market centered on platform ownership and recurring application value rather than pure project revenue. Even so, services expanded faster because brownfield integration, data harmonization, user adoption, and site-by-site rollout all require hands-on support. Buhler's SAP Digital Manufacturing rollout at its Uzwil site showed how implementation services were the main unlock for later expansion across China, Germany, and the United Kingdom.

Services are forecast to grow at a 18.14% CAGR, making it one of the fastest-expanding segments of the manufacturing operations management software market during 2026-2031. Managed services are now extending the vendor relationship beyond go-live through connector monitoring, update administration, and uptime commitments in regulated environments. IGZ and United Manufacturing Hub demonstrated that combining SAP Digital Manufacturing with a data platform supporting more than 150 IT and OT protocols can materially reduce integration complexity and shorten machine onboarding timelines. This model, which combines a software supplier, an implementation partner, and a managed-service layer, is becoming the standard commercial structure for large enterprise rollouts.

Complete Report Scope:

  • By Deployment Mode
    • On-Premises
    • Cloud
    • Hybrid
  • By Component
    • Software
    • Services
  • By Enterprise Size
    • Large Enterprises
    • Small and Medium Enterprises
  • By Function Type
    • Manufacturing Execution System (MES)
    • Planning and Scheduling
    • Quality Process Management
    • Inventory Management
    • Other Function Types (Labor Management, Analytics)
  • By End-user Industry
    • Aerospace
    • Automotive
    • Pharmaceuticals
    • Medical Equipment
    • Chemicals
    • Food and Beverages
    • Consumer Goods
    • Other End-user Industries
  • By Geography
    • North America
      • United States
      • Canada
      • Mexico
    • Europe
      • United Kingdom
      • Germany
      • France
      • Italy
      • Rest of Europe
    • Asia-Pacific
      • China
      • Japan
      • India
      • South Korea
      • Rest of Asia-Pacific
    • Middle East
      • Saudi Arabia
      • United Arab Emirates
      • Turkey
      • Rest of Middle East
    • Africa
      • South Africa
      • Egypt
      • Rest of Africa
    • South America
      • Brazil
      • Argentina
      • Rest of South America

Geography Analysis

North America held 33.52% of the manufacturing operations management software market share in 2025, giving the region the largest revenue share. The United States supported that lead through dense pharmaceutical, aerospace, semiconductor, and defense production bases that require strict control over electronic records and plant-level traceability. Reshoring and near-shoring programs are also increasing the need to standardize execution systems across new and upgraded facilities. Canada and Mexico add demand through automotive and industrial corridors that align with the United States on common supply chain standards. The region also benefits from a mature integrator and managed-services ecosystem that can shorten deployment cycles relative to markets where OT-IT talent remains more limited.

Asia-Pacific is projected to grow at a 17.88% CAGR, making it the fastest-expanding regional block and the strongest source of future gains in the manufacturing operations management software market during 2026-2031. China and India are widening the addressable base for cloud and hybrid platforms as factories scale digital production models across automotive, electronics, and industrial equipment. Rockwell Automation's 2026 India findings showed that 97% of Indian manufacturers viewed digital transformation as essential, and high-spend respondents devoted materially more operating budget to industrial technology than global peers. This matters because greenfield and fast-scaling facilities in Asia-Pacific can implement newer execution models without the same degree of legacy harmonization required in older industrial estates. Japan and South Korea remain high-value markets where semiconductor and automotive precision keep demand centered on reliable execution control and strong cybersecurity discipline.

Europe remained a high-compliance regional cluster in the manufacturing operations management software market, led by Germany and supported by the United Kingdom, France, and Italy. The EU Cyber Resilience Act is adding stronger documentation and reporting expectations that will influence vendor selection and system architecture across industrial sites selling into Europe. The Middle East is benefiting from greenfield diversification programs in Saudi Arabia and the United Arab Emirates, while Africa is still in an earlier stage, led by South Africa and Egypt. South America is seeing demand concentrate in Brazilian automotive and food processing clusters, where traceability needs align well with pre-configured cloud deployment models.

  1. ABB Ltd.
  2. Rockwell Automation, Inc.
  3. AVEVA Group plc
  4. Dassault Systems SE
  5. SAP SE
  6. Emerson Electric Co.
  7. Siemens Digital Industries Software
  8. GE Vernova
  9. Schneider Electric SE
  10. Plex Systems, Inc.
  11. Parsec Automation Corp.
  12. Accevo Systems (ANT Solutions)
  13. SYSPRO Inc.
  14. Aegis Software Inc.
  15. SedApta S.r.l.
  16. Infor Inc.
  17. MPDV Mikrolab GmbH
  18. ITAC Software Inc.
  19. ATS Global

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 AI-Driven Real-Time Production Optimization
    • 4.2.2 Industry 4.0 and Smart Factory Expansion
    • 4.2.3 Cloud-Native and Hybrid MOM Adoption
    • 4.2.4 Tighter Quality and Traceability Mandates
    • 4.2.5 Digital Product Passport Readiness
    • 4.2.6 Execution-Layer AI Copilots for Frontline Decisions
  • 4.3 Market Restraints
    • 4.3.1 Brownfield Integration and Data Model Complexity
    • 4.3.2 OT-IT Skills Shortage and Change Management Friction
    • 4.3.3 Cyber Resilience Act and SBOM Compliance Burden
    • 4.3.4 Inspection-Ready Digital Record Architecture Costs
  • 4.4 Industry Value-Chain Analysis
  • 4.5 Regulatory Landscape
  • 4.6 Technological Outlook
  • 4.7 Impact of Macroeconomic Factors on the Market
  • 4.8 Porter's Five Forces Analysis
    • 4.8.1 Threat of New Entrants
    • 4.8.2 Bargaining Power of Suppliers
    • 4.8.3 Bargaining Power of Buyers
    • 4.8.4 Threat of Substitutes
    • 4.8.5 Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

  • 5.1 By Deployment Mode
    • 5.1.1 On-Premises
    • 5.1.2 Cloud
    • 5.1.3 Hybrid
  • 5.2 By Component
    • 5.2.1 Software
    • 5.2.2 Services
  • 5.3 By Enterprise Size
    • 5.3.1 Large Enterprises
    • 5.3.2 Small and Medium Enterprises
  • 5.4 By Function Type
    • 5.4.1 Manufacturing Execution System (MES)
    • 5.4.2 Planning and Scheduling
    • 5.4.3 Quality Process Management
    • 5.4.4 Inventory Management
    • 5.4.5 Other Function Types (Labor Management, Analytics)
  • 5.5 By End-user Industry
    • 5.5.1 Aerospace
    • 5.5.2 Automotive
    • 5.5.3 Pharmaceuticals
    • 5.5.4 Medical Equipment
    • 5.5.5 Chemicals
    • 5.5.6 Food and Beverages
    • 5.5.7 Consumer Goods
    • 5.5.8 Other End-user Industries
  • 5.6 By Geography
    • 5.6.1 North America
      • 5.6.1.1 United States
      • 5.6.1.2 Canada
      • 5.6.1.3 Mexico
    • 5.6.2 Europe
      • 5.6.2.1 United Kingdom
      • 5.6.2.2 Germany
      • 5.6.2.3 France
      • 5.6.2.4 Italy
      • 5.6.2.5 Rest of Europe
    • 5.6.3 Asia-Pacific
      • 5.6.3.1 China
      • 5.6.3.2 Japan
      • 5.6.3.3 India
      • 5.6.3.4 South Korea
      • 5.6.3.5 Rest of Asia-Pacific
    • 5.6.4 Middle East
      • 5.6.4.1 Saudi Arabia
      • 5.6.4.2 United Arab Emirates
      • 5.6.4.3 Turkey
      • 5.6.4.4 Rest of Middle East
    • 5.6.5 Africa
      • 5.6.5.1 South Africa
      • 5.6.5.2 Egypt
      • 5.6.5.3 Rest of Africa
    • 5.6.6 South America
      • 5.6.6.1 Brazil
      • 5.6.6.2 Argentina
      • 5.6.6.3 Rest of South America

6 COMPETITIVE LANDSCAPE

  • 6.1 Market Concentration
  • 6.2 Strategic Moves
  • 6.3 Market Share Analysis
  • 6.4 Company Profiles (includes Global Level Overview, Market Level Overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share, Products and Services, Recent Developments)
    • 6.4.1 ABB Ltd.
    • 6.4.2 Rockwell Automation, Inc.
    • 6.4.3 AVEVA Group plc
    • 6.4.4 Dassault Systems SE
    • 6.4.5 SAP SE
    • 6.4.6 Emerson Electric Co.
    • 6.4.7 Siemens Digital Industries Software
    • 6.4.8 GE Vernova
    • 6.4.9 Schneider Electric SE
    • 6.4.10 Plex Systems, Inc.
    • 6.4.11 Parsec Automation Corp.
    • 6.4.12 Accevo Systems (ANT Solutions)
    • 6.4.13 SYSPRO Inc.
    • 6.4.14 Aegis Software Inc.
    • 6.4.15 SedApta S.r.l.
    • 6.4.16 Infor Inc.
    • 6.4.17 MPDV Mikrolab GmbH
    • 6.4.18 iTAC Software Inc.
    • 6.4.19 ATS Global

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

  • 7.1 White-Space and Unmet-Need Assessment