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Global Manufacturing Operations Management Software Market to reach USD 28.7 billion by the end of 2029.

Global Manufacturing Operations Management Software Market Size study & Forecast, by Component (Services, Software), By Function (Labor Management, Planning & Scheduling, Process and Production Intelligence, Quality Process Management, Others), By Industry (Automotive, Chemicals, Medical Equipment & Pharmaceuticals, Food & Beverages, Aerospace & Defense, Others), and Regional Analysis, 2022-2029

Product Code: ICTNGT-57506787
Publish Date: 20-03-2023
Page: 200

Global Manufacturing Operations Management Software Market is valued at approximately USD 12.1 billion in 2021 and is anticipated to grow with a healthy growth rate of more than 11.4% over the forecast period 2022-2029. Manufacturing operations management (MOM) software controls a number of systems that are used to oversee all aspects of the manufacturing process with the main goal of increasing manufacturing productivity. As a result, the market for MOM software is expected to grow due to significant factors such as an increase in the use of robotic process automation (RPA). The MOM software makes sure that the workforce and associated processes follow a set of policies and norms that are required to maintain production value. In order to satisfy the strategic goals of product innovation, cost reduction, regulatory compliance, sustainability, and product quality, the software involves a number of processes that are continuously improving the inventory, production, maintenance, quality control, and human resource requirements. The expansion of the worldwide manufacturing operations management software market is being driven by the emergence of digitalization in manufacturing production sectors to optimize production performance and increase flexibility, efficiency, and time-to-market.

In addition, Software for manufacturing operations management (MOM) is becoming more widely used. The need for real-time visibility in manufacturing operations is growing as smart factories are implemented as part of industry 4.0. The program allows for improved product quality, financial success, and efficient business operations in addition to controlling the manufacturing process. It is projected that these would have a substantial impact on the market and the need for manufacturing operations management software. According to Statista, industry 4.0: the smart factory market is growing at a healthy rate of 9.6% and was approximately valued at USD 185.9 Billion in 2021. Furthermore, the smart factories will be able to control workflow by boosting data availability and data analysis with the implementation of this software. Additionally, by connecting different smart factories and implementing a manufacturing operation management system properly, decisions and actions may be made simultaneously throughout the activities of the factories. However, MOM software supports decision-making in businesses by facilitating operations using data, cutting-edge tools, and human intelligence. Maintaining the confidentiality of this sensitive information is becoming a challenge for enterprises as a result of increased technical and human connections, which also pose hazards in the form of increasing data theft, cyber-attack, and privacy issues that may limit the market’s growth over the forecast period of 2022-2029.

The key regions considered for the Global Manufacturing Operations Management Software Market study include Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America dominated the market in terms of revenue, owing to the widespread use of technologies such as Al and industrial lot, among others. By deploying services similar to supply chain management, product lifecycle management, manufacturing operations management software, and enterprise resource planning, among others, the majority of manufacturing industries are forming digital partnerships to improve production processes. Whereas, Asia Pacific is also expected to grow at the highest growth rate over the forecasting period. Factors such as rising demand scale are burgeoning the market growth in the forecasting years.

Major market players included in this report are:
ABB Ltd.
AVEVA Group plc
Dassault Systèmes SE
Epicor Software Corporation
Emerson Electric Co.
Honeywell International Inc
Rockwell Automation, Inc.
Schneider Electric SE
Siemens Ltd.

Recent Developments in the Market:
 On December 13 2022, Rockwell Automation, Inc., a company dedicated to industrial automation and digital transformation and Fortinet, a leader in broad, automated, and integrated cyber security solutions, joined the Partner Network Program as a Gold Technology Partner, in order to offer robust cyber security protection to international customers through the fusion of cutting-edge networking and security capabilities.
 On December 14 2022, ABB Ltd. collaborated with Boliden, a Swedish mining and smelting firm to establish a strategic collaboration for deploying high-efficiency electric motors and electromagnetic stirring (EMS) equipment made of copper with a reduced carbon footprint. Accelerating the shift to a more circular economy while lowering greenhouse gas (GHG) emissions are the objectives.
 On February 02, 2023, Emerson Electric Co. incorporated its extensive power knowledge and renewable energy capabilities into the Ovation Green portfolio to assist power production firms to fulfil the needs of customers navigating the transition to green energy generation and storage.

Global Manufacturing Operations Management Software Market Report Scope:
Historical Data 2019-2020-2021
Base Year for Estimation 2021
Forecast period 2022-2029
Report Coverage Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
Segments Covered Component, Function, Industry, Region
Regional Scope North America; Europe; Asia Pacific; Latin America; Rest of the World
Customization Scope Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Component:

By Function:
Labor Management
Planning & Scheduling
Production Intelligence
Quality Process Management

By Industry:
Medical Equipment & Pharmaceuticals
Food & Beverages
Aerospace & Defense

By Region:
North America
Asia Pacific
South Korea
Latin America
Rest of the World

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2019-2029 (USD Billion)
1.2.1. Manufacturing Operations Management Software Market, by Region, 2019-2029 (USD Billion)
1.2.2. Manufacturing Operations Management Software Market, by Component, 2019-2029 (USD Billion)
1.2.3. Manufacturing Operations Management Software Market, by Function, 2019-2029 (USD Billion)
1.2.4. Manufacturing Operations Management Software Market, by Industry, 2019-2029 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Manufacturing Operations Management Software Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Manufacturing Operations Management Software Market Dynamics
3.1. Manufacturing Operations Management Software Market Impact Analysis (2019-2029)
3.1.1. Market Drivers Growing need to enhance product quality and operational efficiency Industry 4.0’s smart manufacturing approach that accelerated the uptake of slashing digital hardware and software. The use of robotic process automation (RPA) software.
3.1.2. Market Challenges Security issues are anticipated to hinder the adoption of software.
3.1.3. Market Opportunities Demand for the software will increase as artificial intelligence technology is increasingly adopted in manufacturing processes. Higher developments and recent advancements in the software.
Chapter 4. Global Manufacturing Operations Management Software Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Futuristic Approach to Porter’s 5 Force Model (2019-2029)
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. Industry Experts Prospective
4.7. Analyst Recommendation & Conclusion

Chapter 5. Risk Assessment: COVID-19 Impact
5.1. Assessment of the overall impact of COVID-19 on the industry
5.2. Pre COVID-19 and post COVID-19 Market scenario
Chapter 6. Global Manufacturing Operations Management Software Market, by Component
6.1. Market Snapshot
6.2. Global Manufacturing Operations Management Software Market by Component, Performance – Potential Analysis
6.3. Global Manufacturing Operations Management Software Market Estimates & Forecasts by Component 2019-2029 (USD Billion)
6.4. Manufacturing Operations Management Software Market, Sub Segment Analysis
6.4.1. Services
6.4.2. Software
Chapter 7. Global Manufacturing Operations Management Software Market, by Function
7.1. Market Snapshot
7.2. Global Manufacturing Operations Management Software Market by Function, Performance – Potential Analysis
7.3. Global Manufacturing Operations Management Software Market Estimates & Forecasts by Function 2019-2029 (USD Billion)
7.4. Manufacturing Operations Management Software Market, Sub Segment Analysis
7.4.1. Labour Management
7.4.2. Planning & Scheduling
7.4.3. production Intelligence
7.4.4. Quality Process Management
7.4.5. Others
Chapter 8. Global Manufacturing Operations Management Software Market, by Industry
8.1. Market Snapshot
8.2. Global Manufacturing Operations Management Software Market by Industry, Performance – Potential Analysis
8.3. Global Manufacturing Operations Management Software Market Estimates & Forecasts by Industry 2019-2029 (USD Billion)
8.4. Manufacturing Operations Management Software Market, Sub Segment Analysis
8.4.1. Automotive
8.4.2. Chemicals
8.4.3. Medical Equipment & Pharmaceuticals
8.4.4. Food & Beverages
8.4.5. Aerospace & Defense
8.4.6. Others
Chapter 9. Global Manufacturing Operations Management Software Market, Regional Analysis
9.1. Manufacturing Operations Management Software Market, Regional Market Snapshot
9.2. North America Manufacturing Operations Management Software Market
9.2.1. U.S. Manufacturing Operations Management Software Market Component breakdown estimates & forecasts, 2019-2029 Function breakdown estimates & forecasts, 2019-2029 Industry breakdown estimates & forecasts, 2019-2029
9.2.2. Canada Manufacturing Operations Management Software Market
9.3. Europe Manufacturing Operations Management Software Market Snapshot
9.3.1. U.K. Manufacturing Operations Management Software Market
9.3.2. Germany Manufacturing Operations Management Software Market
9.3.3. France Manufacturing Operations Management Software Market
9.3.4. Spain Manufacturing Operations Management Software Market
9.3.5. Italy Manufacturing Operations Management Software Market
9.3.6. Rest of Europe Manufacturing Operations Management Software Market
9.4. Asia-Pacific Manufacturing Operations Management Software Market Snapshot
9.4.1. China Manufacturing Operations Management Software Market
9.4.2. India Manufacturing Operations Management Software Market
9.4.3. Japan Manufacturing Operations Management Software Market
9.4.4. Australia Manufacturing Operations Management Software Market
9.4.5. South Korea Manufacturing Operations Management Software Market
9.4.6. Rest of Asia Pacific Manufacturing Operations Management Software Market
9.5. Latin America Manufacturing Operations Management Software Market Snapshot
9.5.1. Brazil Manufacturing Operations Management Software Market
9.5.2. Mexico Manufacturing Operations Management Software Market
9.5.3. Rest of Latin America Manufacturing Operations Management Software Market
9.6. Rest of The World Manufacturing Operations Management Software Market

Chapter 10. Competitive Intelligence
10.1. Top Market Strategies
10.2. Company Profiles
10.2.1. ABB Ltd. Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
10.2.2. AVEVA Group plc
10.2.3. Dassault Systèmes SE
10.2.4. Epicor Software Corporation
10.2.5. Emerson Electric Co.
10.2.6. Honeywell International Inc
10.2.7. Rockwell Automation, Inc.
10.2.8. SAP SE
10.2.9. Schneider Electric SE
10.2.10. Siemens Ltd.
Chapter 11. Research Process
11.1. Research Process
11.1.1. Data Mining
11.1.2. Analysis
11.1.3. Market Estimation
11.1.4. Validation
11.1.5. Publishing
11.2. Research Attributes
11.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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