Manufacturing Operations Management Software Market Report Scope & Overview:
The Manufacturing Operations Management Software Market was valued at USD 15.78 billion in 2023 and is expected to reach USD 51.16 billion by 2032, growing at a CAGR of 14.03% from 2024-2032.
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This report includes key metrics such as AI/ML feature utilization rates, cost-benefit analysis, data volume handled, cybersecurity event trends, and integration of sustainability and ESG reporting. The market is experiencing robust growth driven by the increasing adoption of smart manufacturing and Industry 4.0 practices. AI and machine learning are enhancing decision-making and predictive capabilities, while rising data volumes necessitate efficient data management solutions. Cybersecurity remains a major focus amid growing digitalization. Furthermore, the alignment of MOM software with sustainability goals and ESG frameworks is becoming crucial, reflecting industry-wide shifts towards responsible and transparent operations. The software is increasingly seen as essential to optimize productivity, reduce costs, and ensure compliance.
U.S. Manufacturing Operations Management Software Market was valued at USD 3.76 billion in 2023 and is expected to reach USD 12.15 billion by 2032, growing at a CAGR of 13.91% from 2024-2032.
The growth of the U.S. Manufacturing Operations Management (MOM) Software Market is driven by the rapid adoption of Industry 4.0, increased focus on operational efficiency, and the integration of advanced technologies such as AI, ML, and IoT. Manufacturers are investing in digital solutions to streamline processes, enhance productivity, and reduce downtime. Rising labor costs and supply chain complexities are pushing firms toward automation and real-time monitoring. Additionally, growing emphasis on cybersecurity, data-driven decision-making, and ESG compliance is accelerating software deployment. Government initiatives supporting smart manufacturing further contribute to the robust market expansion across various industrial sectors.
Manufacturing Operations Management Software Market Dynamics
Drivers
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Real-time process visibility improves efficiency, drives smart manufacturing, and boosts Manufacturing Operations Management Software adoption globally.
Real-time visibility of data is now a necessity for manufacturers who require operational efficiency, enhanced decision-making, and optimal resource utilization. Increased complexity in manufacturing environments requires ongoing monitoring of supply chains, inventory, and production. MOM software solutions give manufacturers real-time visibility as well as centralized control, enabling them to eliminate downtime, minimize waste, and improve productivity. As companies transition towards Industry 4.0 and smart factories, the need for MOM solutions increases as they can integrate with enterprise systems and IoT. With instant data-driven decisions, it creates enhanced responsiveness towards customer demands and market fluctuations. Such solutions are being heavily invested in by manufacturers to be competitive, become agile, and adhere to tight regulatory compliances. This trend also continues to greatly drive manufacturing operations management software adoption worldwide.
Restraints
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Data privacy concerns and cyber threats limit adoption of cloud-based Manufacturing Operations Management Software across industries.
Increased use of cloud-based MOM applications raises serious concerns regarding data security and compliance. Manufacturing organizations handle sensitive operational information, intellectual property, and proprietary processes and therefore are highly vulnerable to cyberattacks. Most organizations are still reluctant to move to the cloud because of possible vulnerabilities, risks of unauthorized access, and insufficient strong cybersecurity frameworks. In sectors such as aerospace, defense, and pharmaceuticals, stringent data protection regulations make cloud deployment even more challenging. Without proper data governance, businesses expose themselves to legal threats and reputational loss. Consequently, data breach and compliance issues can hinder or postpone cloud-based MOM software uptake, hence constraining market growth in some of the major segments.
Opportunities
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Integration of AI and Industrial IoT with MOM platforms enhances productivity and unlocks new market opportunities.
The convergence of Industrial IoT (IIoT), AI, and machine learning in manufacturing systems presents new MOM software possibilities. These new-age technologies support predictive analytics, auto-decisioning, and sophisticated machine-to-machine communication. Using IIoT, MOM systems can provide richer visibility into shop-floor operations, predictive maintenance, and real-time asset tracking. AI-based algorithms can optimize planning, scheduling, and quality management, resulting in intelligent manufacturing environments. With enterprises looking to extract competitive benefits and lower operational costs, the confluence of MOM with AI and IoT is getting more appealing by the day. This technological convergence offers a substantial growth prospect for vendors selling innovative, scalable, and smart MOM platforms designed for the future of manufacturing.
Challenges
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Organizational resistance to digital change hampers MOM software adoption in traditional manufacturing environments.
Most conventional manufacturing organizations resist new technologies because of entrenched practices, organizational resistance, and disruption anxiety. Deploying MOM software typically requires upgrading legacy infrastructure, re-engineering workflows, and re-skilling personnel—all of which are subject to internal pushback. Cultural resistance, inadequate management sponsorship, and fears about short-term dips in productivity are the culprits behind sluggish decision-making and delayed rollouts. The resistance is most significant in mature operational models of industries or in family-run firms where continuity outweighs innovation. The dilemma is how best to convey the long-term advantage of digital transformation and break resistance in order to ensure seamless acceptance and integration of MOM platforms.
Manufacturing Operations Management Software Market Segment Analysis
By Component
The software segment led the Manufacturing Operations Management Software Market in 2023 with a revenue share of nearly 74% because of its vital function in automating and optimizing core production activities. Manufacturers use software platforms to simplify operations, minimize downtime, and enhance decision-making with real-time data analysis and visualization tools. Its scalability and compatibility with legacy systems make it a key investment, particularly as companies seek digital transformation initiatives to enhance efficiency and remain competitive.
The services segment is expected to expand at the fastest CAGR of approximately 15.83% between 2024 and 2032 as there is increased demand for implementation, customization, and support services. As businesses implement sophisticated software solutions, they more and more look to professional services to guarantee smooth implementation and reduced disruption. Also, the increased dependence on consulting, training, and managed services especially in areas where internal expertise is lacking is driving demand and making services a major area for future market growth.
By Enterprise Size
Large enterprises dominated the market with a massive revenue share of approximately 68% in 2023 due to the fact that they have the technological and financial capabilities to invest in complete Manufacturing Operations Management Software solutions. Such organizations tend to have multiple sites and need sophisticated features such as predictive maintenance, real-time performance monitoring, and supply chain optimization. Their emphasis on high operational efficiency, compliance, and integration with ERP systems induces significant adoption, supporting them as leaders in the segment.
Small and medium enterprises are anticipated to grow at the fastest CAGR of 15.69% during 2024-2032, driven by rising affordability and availability of cloud-based MOM software. With more digital tools being scalable and economical, SMEs are overcoming financial limitations and implementing solutions to enhance production visibility, reduce waste, and satisfy customers. Governmental programs and schemes to support digitalization in manufacturing further add to the growth prospect of this segment in the forecast period.
By End-use
The aerospace and defense segment led the Manufacturing Operations Management Software Market with a 24% revenue share in 2023, driven by the sector's stringent regulatory requirements and complex production workflows. High-value assets, precision engineering, and traceability needs necessitate advanced software solutions for quality assurance, compliance tracking, and performance monitoring. The critical nature of defense contracts and the constant push for innovation compel companies in this sector to rely heavily on MOM software for real-time visibility and operational excellence across the production lifecycle.
The automotive segment is expected to experience the highest CAGR of 16.56% from 2024 to 2032, driven by the industry's strong push toward digital transformation and smart manufacturing. Increasing demand for electric vehicles, connected systems, and automation is driving automakers to implement MOM solutions for production flexibility and real-time process optimization. Additionally, the need to reduce cycle times, enhance product quality, and ensure supply chain agility is accelerating the adoption of advanced software in both OEMs and Tier 1 suppliers.
By Application
The quality management segment dominated the market in 2023 with a 28% revenue share due to its critical role in ensuring consistent product integrity and meeting industry compliance standards. Manufacturers place high priority on quality control to avoid costly recalls, boost customer satisfaction, and maintain competitive positioning. MOM software enhances quality assurance through real-time monitoring, defect detection, and automated documentation, enabling a proactive approach to maintaining standards across diverse production environments. These capabilities make it indispensable in heavily regulated industries.
Manufacturing Execution Systems (MES) are forecast to expand at the fastest CAGR of 16.26% from 2024 to 2032, driven by growing demand for integrated, real-time production control. MES solutions enable manufacturers to bridge the gap between planning and execution by offering detailed insights into shop floor operations, resource utilization, and work-in-progress tracking. As Industry 4.0 adoption increases, MES becomes essential for improving agility, reducing waste, and enhancing coordination across production stages, especially in high-volume and fast-paced manufacturing environments.Bottom of Form
Regional Analysis
North America dominated the Manufacturing Operations Management Software Market in 2023 with a 34% revenue share, primarily due to the region's advanced industrial infrastructure and early adoption of digital technologies. The presence of major manufacturing firms, strong investment in automation, and a high focus on operational efficiency drive software deployment across sectors. Additionally, strict regulatory requirements and the integration of AI, IoT, and cloud-based solutions in production environments contribute to the widespread use of MOM software across the U.S. and Canada.
Asia Pacific is anticipated to grow at the fastest CAGR of 16.08% from 2024 to 2032, fueled by rapid industrialization, government initiatives supporting smart manufacturing, and a growing demand for production efficiency. Emerging economies like China and India are heavily investing in modernizing their manufacturing sectors through automation and digital transformation. The rise of small and medium manufacturers adopting cloud-based MOM solutions for cost-effective production control further accelerates growth across the region, making it a key area for future expansion.
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Key Players
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ABB [ABB Ability Manufacturing Operations Management, ABB Ability System 800xA]
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Aegis Software [FactoryLogix, CircuitCAM]
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Aspen Technology Inc [AspenONE Manufacturing Execution Systems, Aspen InfoPlus.21]
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AVEVA Group Limited [AVEVA Manufacturing Execution System, AVEVA Work Tasks]
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Dassault Systèmes [DELMIA Apriso, DELMIA MOM]
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DÜRR AG [DXQcontrol, DXQplant.analytics]
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Epicor Software Corporation [Epicor Advanced MES, Epicor ERP]
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GE Digital [Proficy Plant Applications, Proficy Operations Hub]
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Honeywell International Inc. [Honeywell MES, Honeywell Optivision]
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iBase-t [Solumina MES, Solumina MRO]
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Oracle [Oracle Manufacturing Cloud, Oracle MES]
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Rockwell Automation [FactoryTalk ProductionCentre, Plex MES]
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SAP SE [SAP Manufacturing Execution, SAP Digital Manufacturing Cloud]
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Schneider Electric [EcoStruxure Manufacturing Compliance Advisor, EcoStruxure Plant Advisor]
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Siemens Critical Manufacturing S.A. [Critical Manufacturing MES, CM App Composer]
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Siemens AG [Opcenter Execution, SIMATIC IT Unified Architecture]
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Emerson Electric Co. [Syncade MES, DeltaV MES]
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Plex Systems, Inc. [Plex Manufacturing Cloud, Plex Quality Management System]
Recent Developments:
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In October 2024, Honeywell introduced AI-enabled solutions to enhance efficiency in the energy sector by integrating artificial intelligence into traditional industrial processes.
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In April 2024, AVEVA unveiled a hybrid cloud Manufacturing Execution System (MES) at Hannover Messe, designed to enhance supply chain agility by providing enterprise-wide visibility into distributed plant operations.
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In December 2023, Aegis Software and Arch Systems partnered to develop an AI Copilot aimed at enhancing continuous improvement in manufacturing by integrating advanced analytics with shop floor operations.
| Report Attributes | Details |
|---|---|
| Market Size in 2023 | US$ 15.78 Billion |
| Market Size by 2032 | US$ 51.16 Billion |
| CAGR | CAGR of 14.03% From 2024 to 2032 |
| Base Year | 2023 |
| Forecast Period | 2024-2032 |
| Historical Data | 2020-2022 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Component (Software, Services) • By Enterprise Size (Large Enterprise, Small & Medium Enterprise) • By Application (Advanced Planning & Scheduling, Manufacturing Execution Systems (MES), Labor Management, Inventory Management, Quality Management, Laboratory Management) • By End-use (Aerospace & Defense, Automotive, Pharmaceuticals & Medical Equipment, Chemicals, Food & Beverages, Consumer Goods, Others) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia, Rest of Latin America) |
| Company Profiles | ABB, Aegis Software, Aspen Technology Inc, AVEVA Group Limited, Dassault Systèmes, DÜRR AG, Epicor Software Corporation, GE Digital, Honeywell International Inc., iBase-t, Oracle, Rockwell Automation, SAP SE, Schneider Electric, Siemens Critical Manufacturing S.A., Siemens AG, Emerson Electric Co., Plex Systems, Inc. |