Industrial Control & Factory Automation Market by Offering (Industrial Control Systems, Field Devices, Industrial Software), Automation Type (Fixed Automation, Flexible Automation, Integrated Automation), Application, Industry Vertical - Global Forecast 2
Description
The Industrial Control & Factory Automation Market was valued at USD 219.36 billion in 2024 and is projected to grow to USD 245.44 billion in 2025, with a CAGR of 12.40%, reaching USD 559.19 billion by 2032.
Comprehensive orientation to the strategic crossroads of industrial control and factory automation where modernization, flexibility, and resilience determine competitive manufacturing outcomes
Industrial control and factory automation systems sit at the intersection of operational excellence and strategic competitiveness for manufacturers and critical infrastructure operators. Over the past decade, firms have moved beyond isolated automation deployments toward integrated architectures that combine advanced control devices, intelligent sensing, and networked communications. This shift reflects a broader imperative to drive throughput, quality, and uptime while maintaining flexibility for new product introductions and shifting demand patterns.
Executives face a matrix of choices: whether to prioritize retrofit projects that extend legacy assets, invest in scalable distributed control and programmable solutions, or accelerate adoption of collaborative robotics and adaptive inspection systems. These decisions are influenced by technology maturity, workforce capability, cybersecurity posture, and macroeconomic headwinds. As a result, leaders increasingly favor modular roadmaps that enable incremental value capture while preserving options for deeper digital transformation when organizational readiness and return clarity converge. This balanced approach reduces implementation risk and provides clearer governance for capital allocation across automation programs.
Critical technological and commercial inflection points reshaping automation strategies as edge computing, sensor fusion, and flexible robotics converge with service-centric models
The automation landscape is undergoing transformative shifts driven by interconnected technologies, evolving workforce dynamics, and an emphasis on resilience. Edge computing and deterministic networking have progressed from pilot projects to mainstream enablers of real-time control and predictive maintenance. Meanwhile, advances in machine vision and sensor fusion are lifting the ceiling on quality inspection capabilities, enabling non-contact measurement and in-line defect detection with reduced false positives.
At the same time, industrial robotics are diversifying beyond traditional articulated platforms into specialized Cartesian and SCARA configurations that optimize footprint and cycle time for discrete tasks. Control devices such as PLCs, DCS platforms, and modern HMI solutions are converging with software ecosystems to create composable control layers. These technological advances are complemented by new commercial models: increased demand for systems integration services, software-as-a-service offerings for analytics, and outcome-based maintenance contracts. Collectively, these shifts are forcing suppliers and end users to reassess talent models, cybersecurity frameworks, and partner ecosystems so they can capitalize on digital transformation while managing implementation complexity.
Assessment of how tariff adjustments have driven procurement shifts, regional sourcing strategies, and supply chain resilience measures across industrial automation ecosystems in 2025
The cumulative effect of tariff policy changes in 2025 has reinforced the importance of supply chain agility, supplier diversification, and nearshoring strategies across industrial automation. Tariffs on specific classes of components have elevated the effective landed cost of imported hardware, prompting buyers to revisit sourcing rationales and total cost of ownership analyses. Procurement teams are recalibrating supplier portfolios to blend global expertise with regional manufacturing capacity, seeking partners that offer localized assembly or configurable subassembly options to mitigate tariff exposure.
In response, many manufacturers and system integrators have accelerated qualification of alternate vendors and intensified inventory planning for critical control devices, sensors, and robot subcomponents. Concurrently, there has been heightened interest in software and services that reduce dependency on hardware-intensive refresh cycles, such as virtual commissioning and digital twin approaches that enable performance improvements without immediate capital outlay. Regulatory complexity has also introduced compliance friction for cross-border shipments, increasing lead-time variability and raising the premium on transparent, resilient logistics partnerships. Ultimately, tariffs have acted as a catalyst for structural sourcing changes, encouraging investments in supplier redundancy and closer alignment between procurement strategy and operational risk management.
Strategic segmentation analysis linking product architecture, component mix, automation paradigms, application demands, and vertical-specific requirements to prioritize investments and go-to-market choices
A nuanced segmentation view reveals where technical and commercial focus should be concentrated to unlock value across product, component, automation type, application, and industry vertical dimensions. Product type considerations include Communication & Networking Technologies and Control Devices such as DCS, HMI, PLC, and SCADA, alongside Industrial Robots including Articulated, Cartesian, and SCARA robots, and a broad array of Sensors & Actuators; decisions in this category hinge on interoperability, real-time determinism, and lifecycle support. Component segmentation differentiates Hardware from Services and Software, with services spanning consulting, maintenance & support, system integration, and training & education while software breaks into integrated suites and standalone analytics or control applications; understanding this split clarifies where margin and value accrual occur.
Automation type segmentation highlights the operational trade-offs between Fixed Automation, Flexible Automation, Integrated Automation, and Programmable Automation, guiding choices around scalability and changeover frequency. Application-focused segmentation covers Assembly Line Automation, Material Handling, Packaging & Labeling, and Quality Inspection, each presenting distinct automation design patterns and return drivers. Industry vertical segmentation spans Aerospace & Defense, Automotive with components manufacturing and vehicle assembly distinctions, Chemical, Electronics & Semiconductors with circuit manufacturing and device assembly subsegments, Food & Beverage with packaging automation and processing equipment specialization, Oil & Gas, Pharmaceutical, Power & Energy, and Textiles; aligning solution design to vertical-specific standards and compliance regimes is essential for deployment success. Integrating these segmentation lenses enables targeted product development, channel strategies, and services portfolios aligned with end-user operational requirements and regulatory constraints.
Regional adoption patterns and operational priorities across the Americas, Europe Middle East & Africa, and Asia-Pacific that determine where automation investments and supply chain resilience are concentrated
Regional dynamics continue to dictate where industrial automation innovation, adoption, and supply chain investment occur, with each geographic cluster exhibiting distinct demand drivers and risk profiles. In the Americas, manufacturers emphasize retrofit programs, modular robotics for flexible production, and a rapid uptake of integrated software platforms to shorten time-to-value; policy incentives and local content discussions are shaping investment into regional assembly and system-integration capacities. In Europe, Middle East & Africa, regulatory emphasis on energy efficiency, safety standards, and sustainability metrics is raising the bar for control architectures and analytics while regional industrial clusters push for harmonized communication standards and skilled labor development programs. In the Asia-Pacific region, high-volume manufacturing hubs are leading adoption of high-speed robotics and advanced sensor systems, supported by local suppliers that optimize cost and delivery performance.
Cross-region, firms are balancing capital allocation between centralized engineering centers and distributed operations capable of rapid customization. Vendors aiming for global scale must calibrate channel models, aftersales services, and compliance roadmaps to accommodate divergent certification regimes and labor market profiles. Moreover, geopolitical considerations and logistics disruption risk are prompting firms to design optionality into their regional footprints through second-source strategies and modular product sets that can be localized with minimal engineering overhead.
Analysis of how vendors are transitioning to platform-led and services-centric strategies, leveraging partnerships and acquisitions to deliver integrated solutions and lifecycle value to customers
Leading suppliers and systems integrators are evolving from component vendors into platform and services orchestration partners, reshaping competitive dynamics across the value chain. Several firms are differentiating through integrated hardware-software ecosystems that bundle deterministic networking, control platforms, and analytics, thereby enabling higher incremental revenue from subscription-based services and long-term maintenance contracts. Others pursue specialization by combining deep vertical expertise-such as automotive vehicle assembly or semiconductor device processing-with tailored robotics and inspection stacks that reduce deployment complexity for end users.
Strategic alliances and targeted acquisitions have become common as companies seek to expand capabilities in system integration, machine vision, or cloud-based operational analytics. This trend reflects a broader recognition that end customers increasingly value outcome guarantees, lifecycle support, and rapid time-to-value. Consequently, supplier go-to-market models are shifting toward longer-term service relationships backed by performance SLAs. For buyers, vendor selection now requires evaluating product roadmaps, software openness, cyber hygiene practices, and the ability to scale technical support across multiple geographies and 24/7 operations.
Clear and practical actions for executives to accelerate modernization, reduce vendor risk, and secure operational uplift through modular architectures, workforce development, and supplier diversification
Industry leaders should adopt a pragmatic, phased approach to modernization that balances immediate operational imperatives with longer-term transformation goals. First, establish governance and prioritization frameworks that align automation projects with measurable operational KPIs such as uptime, throughput variability, and quality yield; this enables portfolio decisions that favor high-impact pilot programs before broader rollouts. Next, invest in modular architectures and open communication standards to reduce vendor lock-in and enable rapid interoperability across PLCs, DCS, HMIs, and robotics. This architectural discipline accelerates upgrades and supports parallel innovation tracks for edge analytics and digital twin initiatives.
Additionally, prioritize workforce development through targeted reskilling programs that combine hands-on training with digital tools and simulated environments. Strengthen supplier and logistics diversity by qualifying alternate component sources and negotiating flexible contractual terms that accommodate tariff volatility and lead time fluctuations. Finally, embed cybersecurity and change management into every project plan, ensuring that new deployments include secure-by-design principles and clear operational ownership. By pursuing these recommendations, leaders can capture efficiency gains while preserving the agility needed to respond to evolving market and regulatory pressures.
Methodological overview describing primary interviews, secondary technical review, capability mapping, scenario analysis, and expert validation used to generate actionable industry insights
The research approach underpinning this executive summary combined qualitative and structured inquiry methods to ensure balanced, actionable findings. Primary research included in-depth interviews with senior engineering, procurement, and operations leaders, supplemented by discussions with systems integrators and solution architects across key industry verticals. Secondary research drew upon publicly available technical literature, industry standards documentation, regulatory guidance, and vendor technical briefs to triangulate capabilities and roadmaps. This mixed-methods approach enabled a robust synthesis of technology trajectories and commercial dynamics without relying on proprietary market estimates.
Analytical methods incorporated comparative capability mapping, scenario analysis for tariff and supply chain disruption pathways, and technology adoption profiling across automation types and applications. The study applied a risk-adjusted lens to supplier and regional assessments and validated findings through expert review panels to ensure practical relevance. Throughout the process, emphasis was placed on reproducible documentation of assumptions, transparent scoring criteria for vendor and technology comparisons, and the use of representative case studies to illustrate deployment trade-offs and value capture mechanisms.
Executive synthesis highlighting the strategic intersection of technology, procurement, and governance that will determine how firms convert automation investments into enduring operational advantage
The manufacturing and industrial control landscape is at an inflection point where incremental automation investments and architectural choices will determine operational resilience and competitive positioning for years to come. Technological convergence-spanning advanced robotics, deterministic networking, and sophisticated sensing-creates opportunities to elevate throughput and quality while enabling greater flexibility for mixed-model production. Simultaneously, regulatory shifts and tariff pressures necessitate more sophisticated sourcing strategies and stronger alignment between procurement and engineering functions.
Decision-makers who adopt modular architectures, prioritize supplier optionality, and invest in workforce capability will be better positioned to extract sustained value from automation programs. Equally important is a disciplined approach to governance that ties projects to measurable KPIs and embraces service-based commercial models where appropriate. As the sector progresses, successful organizations will be those that integrate technology choices with operational change management and supplier ecosystems, thereby converting automation investments into durable competitive advantage.
Note: PDF & Excel + Online Access - 1 Year
Comprehensive orientation to the strategic crossroads of industrial control and factory automation where modernization, flexibility, and resilience determine competitive manufacturing outcomes
Industrial control and factory automation systems sit at the intersection of operational excellence and strategic competitiveness for manufacturers and critical infrastructure operators. Over the past decade, firms have moved beyond isolated automation deployments toward integrated architectures that combine advanced control devices, intelligent sensing, and networked communications. This shift reflects a broader imperative to drive throughput, quality, and uptime while maintaining flexibility for new product introductions and shifting demand patterns.
Executives face a matrix of choices: whether to prioritize retrofit projects that extend legacy assets, invest in scalable distributed control and programmable solutions, or accelerate adoption of collaborative robotics and adaptive inspection systems. These decisions are influenced by technology maturity, workforce capability, cybersecurity posture, and macroeconomic headwinds. As a result, leaders increasingly favor modular roadmaps that enable incremental value capture while preserving options for deeper digital transformation when organizational readiness and return clarity converge. This balanced approach reduces implementation risk and provides clearer governance for capital allocation across automation programs.
Critical technological and commercial inflection points reshaping automation strategies as edge computing, sensor fusion, and flexible robotics converge with service-centric models
The automation landscape is undergoing transformative shifts driven by interconnected technologies, evolving workforce dynamics, and an emphasis on resilience. Edge computing and deterministic networking have progressed from pilot projects to mainstream enablers of real-time control and predictive maintenance. Meanwhile, advances in machine vision and sensor fusion are lifting the ceiling on quality inspection capabilities, enabling non-contact measurement and in-line defect detection with reduced false positives.
At the same time, industrial robotics are diversifying beyond traditional articulated platforms into specialized Cartesian and SCARA configurations that optimize footprint and cycle time for discrete tasks. Control devices such as PLCs, DCS platforms, and modern HMI solutions are converging with software ecosystems to create composable control layers. These technological advances are complemented by new commercial models: increased demand for systems integration services, software-as-a-service offerings for analytics, and outcome-based maintenance contracts. Collectively, these shifts are forcing suppliers and end users to reassess talent models, cybersecurity frameworks, and partner ecosystems so they can capitalize on digital transformation while managing implementation complexity.
Assessment of how tariff adjustments have driven procurement shifts, regional sourcing strategies, and supply chain resilience measures across industrial automation ecosystems in 2025
The cumulative effect of tariff policy changes in 2025 has reinforced the importance of supply chain agility, supplier diversification, and nearshoring strategies across industrial automation. Tariffs on specific classes of components have elevated the effective landed cost of imported hardware, prompting buyers to revisit sourcing rationales and total cost of ownership analyses. Procurement teams are recalibrating supplier portfolios to blend global expertise with regional manufacturing capacity, seeking partners that offer localized assembly or configurable subassembly options to mitigate tariff exposure.
In response, many manufacturers and system integrators have accelerated qualification of alternate vendors and intensified inventory planning for critical control devices, sensors, and robot subcomponents. Concurrently, there has been heightened interest in software and services that reduce dependency on hardware-intensive refresh cycles, such as virtual commissioning and digital twin approaches that enable performance improvements without immediate capital outlay. Regulatory complexity has also introduced compliance friction for cross-border shipments, increasing lead-time variability and raising the premium on transparent, resilient logistics partnerships. Ultimately, tariffs have acted as a catalyst for structural sourcing changes, encouraging investments in supplier redundancy and closer alignment between procurement strategy and operational risk management.
Strategic segmentation analysis linking product architecture, component mix, automation paradigms, application demands, and vertical-specific requirements to prioritize investments and go-to-market choices
A nuanced segmentation view reveals where technical and commercial focus should be concentrated to unlock value across product, component, automation type, application, and industry vertical dimensions. Product type considerations include Communication & Networking Technologies and Control Devices such as DCS, HMI, PLC, and SCADA, alongside Industrial Robots including Articulated, Cartesian, and SCARA robots, and a broad array of Sensors & Actuators; decisions in this category hinge on interoperability, real-time determinism, and lifecycle support. Component segmentation differentiates Hardware from Services and Software, with services spanning consulting, maintenance & support, system integration, and training & education while software breaks into integrated suites and standalone analytics or control applications; understanding this split clarifies where margin and value accrual occur.
Automation type segmentation highlights the operational trade-offs between Fixed Automation, Flexible Automation, Integrated Automation, and Programmable Automation, guiding choices around scalability and changeover frequency. Application-focused segmentation covers Assembly Line Automation, Material Handling, Packaging & Labeling, and Quality Inspection, each presenting distinct automation design patterns and return drivers. Industry vertical segmentation spans Aerospace & Defense, Automotive with components manufacturing and vehicle assembly distinctions, Chemical, Electronics & Semiconductors with circuit manufacturing and device assembly subsegments, Food & Beverage with packaging automation and processing equipment specialization, Oil & Gas, Pharmaceutical, Power & Energy, and Textiles; aligning solution design to vertical-specific standards and compliance regimes is essential for deployment success. Integrating these segmentation lenses enables targeted product development, channel strategies, and services portfolios aligned with end-user operational requirements and regulatory constraints.
Regional adoption patterns and operational priorities across the Americas, Europe Middle East & Africa, and Asia-Pacific that determine where automation investments and supply chain resilience are concentrated
Regional dynamics continue to dictate where industrial automation innovation, adoption, and supply chain investment occur, with each geographic cluster exhibiting distinct demand drivers and risk profiles. In the Americas, manufacturers emphasize retrofit programs, modular robotics for flexible production, and a rapid uptake of integrated software platforms to shorten time-to-value; policy incentives and local content discussions are shaping investment into regional assembly and system-integration capacities. In Europe, Middle East & Africa, regulatory emphasis on energy efficiency, safety standards, and sustainability metrics is raising the bar for control architectures and analytics while regional industrial clusters push for harmonized communication standards and skilled labor development programs. In the Asia-Pacific region, high-volume manufacturing hubs are leading adoption of high-speed robotics and advanced sensor systems, supported by local suppliers that optimize cost and delivery performance.
Cross-region, firms are balancing capital allocation between centralized engineering centers and distributed operations capable of rapid customization. Vendors aiming for global scale must calibrate channel models, aftersales services, and compliance roadmaps to accommodate divergent certification regimes and labor market profiles. Moreover, geopolitical considerations and logistics disruption risk are prompting firms to design optionality into their regional footprints through second-source strategies and modular product sets that can be localized with minimal engineering overhead.
Analysis of how vendors are transitioning to platform-led and services-centric strategies, leveraging partnerships and acquisitions to deliver integrated solutions and lifecycle value to customers
Leading suppliers and systems integrators are evolving from component vendors into platform and services orchestration partners, reshaping competitive dynamics across the value chain. Several firms are differentiating through integrated hardware-software ecosystems that bundle deterministic networking, control platforms, and analytics, thereby enabling higher incremental revenue from subscription-based services and long-term maintenance contracts. Others pursue specialization by combining deep vertical expertise-such as automotive vehicle assembly or semiconductor device processing-with tailored robotics and inspection stacks that reduce deployment complexity for end users.
Strategic alliances and targeted acquisitions have become common as companies seek to expand capabilities in system integration, machine vision, or cloud-based operational analytics. This trend reflects a broader recognition that end customers increasingly value outcome guarantees, lifecycle support, and rapid time-to-value. Consequently, supplier go-to-market models are shifting toward longer-term service relationships backed by performance SLAs. For buyers, vendor selection now requires evaluating product roadmaps, software openness, cyber hygiene practices, and the ability to scale technical support across multiple geographies and 24/7 operations.
Clear and practical actions for executives to accelerate modernization, reduce vendor risk, and secure operational uplift through modular architectures, workforce development, and supplier diversification
Industry leaders should adopt a pragmatic, phased approach to modernization that balances immediate operational imperatives with longer-term transformation goals. First, establish governance and prioritization frameworks that align automation projects with measurable operational KPIs such as uptime, throughput variability, and quality yield; this enables portfolio decisions that favor high-impact pilot programs before broader rollouts. Next, invest in modular architectures and open communication standards to reduce vendor lock-in and enable rapid interoperability across PLCs, DCS, HMIs, and robotics. This architectural discipline accelerates upgrades and supports parallel innovation tracks for edge analytics and digital twin initiatives.
Additionally, prioritize workforce development through targeted reskilling programs that combine hands-on training with digital tools and simulated environments. Strengthen supplier and logistics diversity by qualifying alternate component sources and negotiating flexible contractual terms that accommodate tariff volatility and lead time fluctuations. Finally, embed cybersecurity and change management into every project plan, ensuring that new deployments include secure-by-design principles and clear operational ownership. By pursuing these recommendations, leaders can capture efficiency gains while preserving the agility needed to respond to evolving market and regulatory pressures.
Methodological overview describing primary interviews, secondary technical review, capability mapping, scenario analysis, and expert validation used to generate actionable industry insights
The research approach underpinning this executive summary combined qualitative and structured inquiry methods to ensure balanced, actionable findings. Primary research included in-depth interviews with senior engineering, procurement, and operations leaders, supplemented by discussions with systems integrators and solution architects across key industry verticals. Secondary research drew upon publicly available technical literature, industry standards documentation, regulatory guidance, and vendor technical briefs to triangulate capabilities and roadmaps. This mixed-methods approach enabled a robust synthesis of technology trajectories and commercial dynamics without relying on proprietary market estimates.
Analytical methods incorporated comparative capability mapping, scenario analysis for tariff and supply chain disruption pathways, and technology adoption profiling across automation types and applications. The study applied a risk-adjusted lens to supplier and regional assessments and validated findings through expert review panels to ensure practical relevance. Throughout the process, emphasis was placed on reproducible documentation of assumptions, transparent scoring criteria for vendor and technology comparisons, and the use of representative case studies to illustrate deployment trade-offs and value capture mechanisms.
Executive synthesis highlighting the strategic intersection of technology, procurement, and governance that will determine how firms convert automation investments into enduring operational advantage
The manufacturing and industrial control landscape is at an inflection point where incremental automation investments and architectural choices will determine operational resilience and competitive positioning for years to come. Technological convergence-spanning advanced robotics, deterministic networking, and sophisticated sensing-creates opportunities to elevate throughput and quality while enabling greater flexibility for mixed-model production. Simultaneously, regulatory shifts and tariff pressures necessitate more sophisticated sourcing strategies and stronger alignment between procurement and engineering functions.
Decision-makers who adopt modular architectures, prioritize supplier optionality, and invest in workforce capability will be better positioned to extract sustained value from automation programs. Equally important is a disciplined approach to governance that ties projects to measurable KPIs and embraces service-based commercial models where appropriate. As the sector progresses, successful organizations will be those that integrate technology choices with operational change management and supplier ecosystems, thereby converting automation investments into durable competitive advantage.
Note: PDF & Excel + Online Access - 1 Year
Table of Contents
198 Pages
- 1. Preface
- 1.1. Objectives of the Study
- 1.2. Market Segmentation & Coverage
- 1.3. Years Considered for the Study
- 1.4. Currency
- 1.5. Language
- 1.6. Stakeholders
- 2. Research Methodology
- 3. Executive Summary
- 4. Market Overview
- 5. Market Insights
- 5.1. Adoption of full-body humanoid automation systems in advanced assembly operations
- 5.2. Integration of AI-driven predictive maintenance systems across complex manufacturing lines
- 5.3. Deployment of edge computing platforms to reduce latency in real-time automation controls
- 5.4. Adoption of digital twin technology for virtual commissioning and process optimization
- 5.5. Implementation of cybersecurity frameworks to safeguard IoT-enabled industrial networks
- 5.6. Transition to modular smart factories leveraging collaborative autonomous robots and AGVs
- 5.7. Utilization of 5G connectivity to support high-speed data exchange between control devices
- 5.8. Development of energy-efficient servo drives to enhance sustainability in production systems
- 5.9. Expansion of cloud-based centralized monitoring for remote diagnostics and operational insights
- 6. Cumulative Impact of United States Tariffs 2025
- 7. Cumulative Impact of Artificial Intelligence 2025
- 8. Industrial Control & Factory Automation Market, by Offering
- 8.1. Industrial Control Systems
- 8.1.1. Supervisory Control and Data Acquisition (SCADA)
- 8.1.2. Distributed Control System (DCS)
- 8.1.3. Programmable Logic Controller (PLC)
- 8.1.4. Human-Machine Interface (HMI)
- 8.1.5. Industrial PCs
- 8.2. Field Devices
- 8.2.1. Sensors & Transmitters
- 8.2.2. Actuators & Drives
- 8.2.3. Relays & Switches
- 8.3. Industrial Software
- 8.3.1. Manufacturing Execution System (MES)
- 8.3.2. Plant Asset Management (PAM)
- 8.3.3. Warehouse Management System (WMS)
- 8.3.4. Enterprise Resource Planning (ERP)
- 8.3.5. Quality Management Systems (QMS)
- 8.4. Industrial Robotics
- 8.4.1. Articulated Robots
- 8.4.2. SCARA Robots
- 8.4.3. Cartesian Robots
- 8.5. Industrial Networks
- 8.5.1. Fieldbus Protocols
- 8.5.2. Industrial Ethernet
- 8.5.3. Routers & Gateways
- 8.6. Machine Vision Systems
- 8.7. Process Analyzer
- 8.7.1. Gas Analyzer
- 8.7.2. Liquid Analyzer
- 8.8. CNC Controller
- 8.9. Industrial 3D Printing
- 9. Industrial Control & Factory Automation Market, by Automation Type
- 9.1. Fixed Automation
- 9.2. Flexible Automation
- 9.3. Integrated Automation
- 9.4. Programmable Automation
- 10. Industrial Control & Factory Automation Market, by Application
- 10.1. Assembly Line Automation
- 10.2. Material Handling
- 10.3. Packaging & Labeling
- 10.4. Quality Inspection
- 11. Industrial Control & Factory Automation Market, by Industry Vertical
- 11.1. Aerospace & Defense
- 11.2. Automotive
- 11.2.1. Components Manufacturing
- 11.2.2. Vehicle Assembly
- 11.3. Chemical
- 11.4. Electronics & Semiconductors
- 11.4.1. Circuit Manufacturing
- 11.4.2. Device Assembly
- 11.5. Food & Beverage
- 11.5.1. Packaging Automation
- 11.5.2. Processing Equipment
- 11.6. Oil & Gas
- 11.7. Pharmaceutical
- 11.8. Power & Energy
- 11.9. Textiles
- 11.10. Water & Wastewater
- 12. Industrial Control & Factory Automation Market, by Region
- 12.1. Americas
- 12.1.1. North America
- 12.1.2. Latin America
- 12.2. Europe, Middle East & Africa
- 12.2.1. Europe
- 12.2.2. Middle East
- 12.2.3. Africa
- 12.3. Asia-Pacific
- 13. Industrial Control & Factory Automation Market, by Group
- 13.1. ASEAN
- 13.2. GCC
- 13.3. European Union
- 13.4. BRICS
- 13.5. G7
- 13.6. NATO
- 14. Industrial Control & Factory Automation Market, by Country
- 14.1. United States
- 14.2. Canada
- 14.3. Mexico
- 14.4. Brazil
- 14.5. United Kingdom
- 14.6. Germany
- 14.7. France
- 14.8. Russia
- 14.9. Italy
- 14.10. Spain
- 14.11. China
- 14.12. India
- 14.13. Japan
- 14.14. Australia
- 14.15. South Korea
- 15. Competitive Landscape
- 15.1. Market Share Analysis, 2024
- 15.2. FPNV Positioning Matrix, 2024
- 15.3. Competitive Analysis
- 15.3.1. ABB Ltd.
- 15.3.2. Accurate Industrial Controls Pvt. Ltd.
- 15.3.3. Ametek. Inc.
- 15.3.4. Autodesk Inc.
- 15.3.5. CODESYS GmbH
- 15.3.6. Delta Electronics, Inc.
- 15.3.7. Emerson Electric Co.
- 15.3.8. FANUC CORPORATION
- 15.3.9. Fuji Electric Co., Ltd.
- 15.3.10. General Electric Company
- 15.3.11. Hitachi, Ltd.
- 15.3.12. Honeywell International Inc.
- 15.3.13. KUKA AG
- 15.3.14. Mitsubishi Electric Corporation
- 15.3.15. Murata Manufacturing Co., Ltd
- 15.3.16. Omron Corporation
- 15.3.17. Panasonic Corporation
- 15.3.18. Robert Bosch GmbH
- 15.3.19. Rockwell Automation, Inc
- 15.3.20. Schneider Electric SE
- 15.3.21. Seiko Epson Corporation
- 15.3.22. SEW-Eurodrive GmbH & Co KG
- 15.3.23. Siemens AG
- 15.3.24. Texas Instruments Incorporated
- 15.3.25. Toshiba Corporation
- 15.3.26. UiPath, Inc.
- 15.3.27. Unitronics Ltd.
- 15.3.28. Yokogawa Electric Corporation
- 15.3.29. Unitree Robotics
Pricing
Currency Rates
Questions or Comments?
Our team has the ability to search within reports to verify it suits your needs. We can also help maximize your budget by finding sections of reports you can purchase.
