Enterprise Manufacturing Intelligence Market Size & Share 2024 to 2032
Market Size by Deployment Type (Embedded, Standalone), by Offering (Software, Services), by End Use Industry (Process Industry, Discrete Industry) & Forecast.
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Market Size by Deployment Type (Embedded, Standalone), by Offering (Software, Services), by End Use Industry (Process Industry, Discrete Industry) & Forecast.
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Starting at: $2,450
Base Year: 2023
Companies Profiled: 11
Tables & Figures: 256
Countries Covered: 21
Pages: 220
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Enterprise Manufacturing Intelligence Market
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Enterprise Manufacturing Intelligence Market Size
Enterprise Manufacturing Intelligence Market was valued at USD 5.16 billion in 2023 and is estimated to register a CAGR of 13.4% between 2024 & 2032. The scalability and adaptability of digital platforms are revolutionizing the way enterprises approach manufacturing intelligence.
Enterprise Manufacturing Intelligence Market Key Takeaways
Market Size & Growth
Key Market Drivers
Challenges
With solutions including Building X, which serve as a blueprint for scalable and digital ecosystems, organizations can build agile and responsive manufacturing environments that evolve with changing market dynamics and customer demands. For instance, in April 2024, Siemens launched the Smart Infrastructure Developed Electrification X, the latest SaaS and IoT portfolio of Siemens Xcelerator. Electrification X software is developed with the core design principles of interoperability, flexibility, openness, availability as a service, and with the highest level of cybersecurity.
With rapid technological advancements, various organizations are shifting to offer value-driven innovation and products to meet customers’ changing needs rapidly. Manufacturers are leveraging digitalization. The rising need to evaluate ongoing manufacturing processes and optimize them before production through data generated is becoming prevalent. For instance, in May 2023, Siemens launched the Opcenter Intelligence Cloud, which gives access to all production-relevant data and manufacturing data analytics from a cloud-based manufacturing intelligence system. It connects every source of manufacturing data including Siemens and other manufacturing execution systems (MES) and manufacturing operations management (MOM) systems, shop floor operational technology (OT), the industrial internet of things (IIoT), and a myriad of third-party legacy systems.
Implementing and managing enterprise manufacturing intelligence solutions requires specialized skills and expertise in areas such as data analytics, Machine Learning (ML), and software development. The shortage of qualified professionals with expertise in both manufacturing operations and information technology is creating a challenge for organizations to build and maintain capable enterprise manufacturing intelligence teams. Companies that can navigate these dynamics stand to gain a competitive edge, redefining industries and unlocking new possibilities for growth and innovation.
Enterprise Manufacturing Intelligence Market Trends
The rising IoT capabilities enable manufacturers to gain greater visibility and insights into their operations through the efficient utilization of data and improved integration of disparate systems. This opens the possibility for manufacturers of moving away from simply selling products to providing services and strengthening their relationship with end users. For instance, in April 2024, Rockwell Automation, Inc. launched the FLEXLINE 3500, a low-voltage motor control center (MCC). With this motor control center, manufacturers can unlock production data and increase uptime and productivity through a portfolio of smart products. By integrating with smart motor control devices, the FLEXLINE 3500 MCC delivers real-time operation and diagnostic data for critical equipment.
As sustainability becomes a top priority for organizations worldwide, there is a growing recognition of the need to set accurate and achievable decarbonization targets. Manufacturing companies are focusing on innovative approaches and embracing the shift toward software-based applications. For instance, in April 2023, Schneider Electric launched Zeigo, a new software to help businesses and enterprises set accurate and achievable decarbonization targets. The application delivers easy emission calculations paired with a customized decarbonization roadmap and a regionally tailored solutions provider marketplace.
Enterprise Manufacturing Intelligence Market Analysis
Based on offering, the market is segmented into software and services. The services segment is the fastest growing and is anticipated to expand at a CAGR of over 14.5% between 2024 and 2032.
Based on end-use industry, the market is divided into process industry and discrete industry. The discrete industry segment dominated the market with a share of over 80% in 2023.
The enterprise manufacturing intelligence market is experiencing a significant surge in the Asia Pacific region, with a projected CAGR of over 14.5% from 2024 to 2032. The heightened awareness of the importance of data-driven decision-making in manufacturing, increasingly stringent regulations, and the growing demand for sophisticated intelligence solutions across the automotive, consumer electronics, food & beverage sectors are spurring market growth.
Leading countries, such as China, Japan, and South Korea, are driving this growth trajectory, leveraging their technological and industrial capabilities to propel the adoption of EMI solutions. Factors contributing to the demand for enterprise manufacturing intelligence systems in these countries include rapid industrialization, infrastructure modernization initiatives, and increased focus on optimizing operational efficiency and quality control.
Enterprise Manufacturing Intelligence Market Share
Siemens AG and ABB Ltd. held over 15% of the global market share in 2023. Siemens AG operates in the field of industrial manufacturing and technology solutions, with a significant presence in the market. As a provider of automation, digitalization, and industrial software solutions, Siemens enables manufacturers to harness the power of data-driven insights for enhanced productivity, efficiency, and competitiveness.
ABB Ltd. is a global leader in electrification, automation, and digitalization solutions. ABB's expertise spans various industries including manufacturing, energy, utilities, and infrastructure, making it well-positioned to offer comprehensive enterprise manufacturing intelligence solutions tailored to the unique needs of diverse sectors.
Enterprise Manufacturing Intelligence Market Companies
Major players operating in the market are:
Enterprise Manufacturing Intelligence Industry News
The enterprise manufacturing intelligence market research report includes in-depth coverage of the industry with estimates & forecast in terms of revenue (USD Million) from 2024 to 2032, for the following segments:
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Market, By Deployment Type
Market, By Offering
Market, By End-use Industry
The above information is provided for the following regions and countries:
Research methodology, data sources & validation process
This report draws on a structured research process built around direct industry conversations, proprietary modelling, and rigorous cross-validation and not just desk research.
Our 6-step research process
1. Research design & analyst oversight
At GMI, our research methodology is built on a foundation of human expertise, rigorous validation, and complete transparency. Every insight, trend analysis, and forecast in our reports is developed by experienced analysts who understand the nuances of your market.
Our approach integrates extensive primary research through direct engagement with industry participants and experts, complemented by comprehensive secondary research from verified global sources. We apply quantified impact analysis to deliver dependable forecasts, while maintaining complete traceability from original data sources to final insights.
2. Primary research
Primary research forms the backbone of our methodology, contributing nearly 80% to overall insights. It involves direct engagement with industry participants to ensure accuracy and depth in analysis. Our structured interview program covers regional and global markets, with inputs from C-suite executives, directors, and subject matter experts. These interactions provide strategic, operational, and technical perspectives, enabling well-rounded insights and reliable market forecasts.
3. Data mining & market analysis
Data mining is a key part of our research process, contributing nearly 20% to the overall methodology. It involves analysing market structure, identifying industry trends, and assessing macroeconomic factors through revenue share analysis of major players. Relevant data is collected from both paid and unpaid sources to build a reliable database. This information is then integrated to support primary research and market sizing, with validation from key stakeholders such as distributors, manufacturers, and associations.
4. Market sizing
Our market sizing is built on a bottom-up approach, starting with company revenue data gathered directly through primary interviews, alongside production volume figures from manufacturers and installation or deployment statistics. These inputs are then pieced together across regional markets to arrive at a global estimate that stays grounded in actual industry activity.
5. Forecast model & key assumptions
Every forecast includes explicit documentation of:
✓ Key growth drivers and their assumed impact
✓ Restraining factors and mitigation scenarios
✓ Regulatory assumptions and policy change risk
✓ Technology adoption curve parameter
✓ Macroeconomic assumptions (GDP growth, inflation, currency)
✓ Competitive dynamics and market entry/exit expectations
6. Validation & quality assurance
The final stages involve human validation, where domain experts manually review filtered data to identify nuances and contextual errors that automated systems might miss. This expert review adds a critical layer of quality assurance, ensuring data aligns with research objectives and domain-specific standards.
Our triple-layer validation process ensures maximum data reliability:
✓ Statistical Validation
✓ Expert Validation
✓ Market Reality Check
Trust & credibility
Verified data sources
Trade publications
Security & defense sector journals and trade press
Industry databases
Proprietary and third-party market databases
Regulatory filings
Government procurement records and policy documents
Academic research
University studies and specialist institution reports
Company reports
Annual reports, investor presentations, and filings
Expert interviews
C-suite, procurement leads, and technical specialists
GMI archive
13,000+ published studies across 30+ industry verticals
Trade data
Import/export volumes, HS codes, and customs records
Parameters studied & evaluated
Every data point in this report is validated through primary interviews, true bottom-up modelling, and rigorous cross-checks. Read about our research process →