모듈러 자동화 시장 : 제공 형태별, 구성요소별, 도입 형태별, 통신 프로토콜별, 기능 유형별, 산업 분야별 - 세계 예측(2025-2032년)

The Modular Automation Market is projected to grow by USD 8.07 billion at a CAGR of 7.61% by 2032.

Establishing the strategic context for modular automation adoption by defining drivers, prerequisites, integration imperatives, and operational trade-offs

Modular automation is emerging as a determinative factor in operational resilience and competitive differentiation across manufacturing and process sectors. This introduction situates modular approaches within the broader transformation toward flexible production, emphasizing interoperability, rapid redeployment, and data-driven performance optimization. Over recent years, leaders have prioritized modularization to reduce time-to-market for new variants, to compress changeover cycles, and to decouple software-driven capabilities from rigid mechanical architectures.

The section highlights how modular design principles align with contemporary operational priorities: reducing capital friction through reusable modules, enabling incremental automation investments, and improving fault isolation to shorten downtime. Additionally, it outlines the technology prerequisites that underpin successful modular deployments, such as standardized interfaces, deterministic communication protocols, and layered software architectures that separate integration middleware from analytics and human machine interfaces.

Moreover, this introduction frames the near-term challenges that organizations must address when adopting modular strategies, including skills uplift, supplier qualification for modular components, and governance models for lifecycle updates. The narrative prepares readers to engage with the detailed analyses that follow, providing a clear baseline for evaluating component choices, deployment modalities, and operational trade-offs in subsequent sections.

Identifying the simultaneous technological, supply chain, and workforce shifts that are reshaping modular automation strategies and competitive dynamics

The landscape for automation is shifting along multiple axes simultaneously, producing transformative outcomes for engineering, procurement, and operations. First, the maturation of real-time deterministic communication protocols and edge compute platforms is enabling finer-grained coordination between modular hardware units and centralized orchestration layers. This development allows systems to support both centralized supervisory control and localized autonomy, improving throughput predictability while enabling rapid reconfiguration.

Second, the convergence of software paradigms-platform architectures, middleware patterns, and analytics services-has accelerated the decoupling of functionality from specific hardware, creating opportunities for vendor-neutral module interoperability. Consequently, solution providers now focus on ecosystems that combine standardized controllers, drives, and sensor suites with integration software and cloud-based analytics, thereby reducing lock-in and enabling best-of-breed configurations.

Third, supply chain and geopolitical realignments are prompting firms to redesign sourcing strategies, invest in dual-sourcing for critical modules, and emphasize local content where feasible. These forces are complemented by workforce transitions: the demand is increasing for multidisciplinary teams who combine controls engineering, IT networking, and data science to implement and sustain modular solutions. Together, these shifts are reconfiguring competitive dynamics and creating new value pools for organizations that can rapidly integrate hardware, software, and services into resilient modular systems.

Understanding how tariff policy changes have driven supplier diversification, design for local manufacturability, and renewed emphasis on services to protect uptime

New tariff policies implemented in the United States in 2025 have introduced another layer of complexity to sourcing and procurement strategies for automation components and subassemblies. The cumulative impact of these measures is foremost reflected in re-evaluated supplier footprints, with an observable acceleration of diversification away from single-source offshore suppliers toward regionalized or nearshore suppliers that reduce exposure to tariff volatility and shipping disruptions.

As a consequence, procurement teams are increasingly incorporating total landed cost assessments that move beyond unit price to include duties, transit risk, and lead-time variability. In parallel, engineering and product teams are redesigning modules for greater local manufacturability, simplifying bill-of-materials complexity and specifying alternative components that meet performance requirements while remaining tariff-insensitive. These design adjustments often prioritize commonality across product families to preserve economies of scale in assembly while enabling substitution of lower-duty components when necessary.

Operationally, tariffs have elevated the strategic importance of services such as integration and maintenance, since onshore service activities can offset higher hardware costs by delivering more effective uptime and lifecycle management. Finally, policy uncertainty has reinforced the value of contractual hedges, inventory buffering of critical parts, and collaboration with logistics partners to secure prioritized capacity, all of which contribute to more resilient modular automation deployment plans.

Comprehensive segmentation reveals interplay among hardware, software, services, protocols, functional roles, and vertical specializations to guide prioritization

A granular segmentation lens clarifies where value accrues within modular automation and helps prioritize investments across offering types, component classes, deployment modes, communication stacks, functional applications, and vertical specializations. Based on Offering, the landscape is organized across Hardware, Services, and Software; Hardware includes Actuators, Controllers, Drives, Motors, and Sensors, with Actuators differentiated between Linear Actuators and Rotary Actuators, Controllers split into PAC and PLC platforms, Drives categorized as AC Drives and DC Drives, Motors classified as Servo Motors and Stepper Motors, and Sensors spanning Force Sensors, Photoelectric Sensors, Proximity Sensors, and Vision Sensors. Services encompass Consulting, Integration, Maintenance, and Support, where Integration bifurcates into Process Integration and System Integration, Maintenance distinguishes Corrective Maintenance from Preventive Maintenance, and Support covers Onsite Support, Remote Support, and Technical Support. Software is delineated into Analytics Software, Integration Software, and Platform Software, with Analytics containing Performance Monitoring and Predictive Maintenance modules, Integration Software including API Gateway and Middleware capabilities, and Platform Software comprising HMI, MES, and SCADA layers.

Based on Component, the emphasis on specific hardware elements-Actuators, Controllers, Drives, Motors, and Sensors-underscores how modularity at the component level drives repeatability and serviceability. Based on Deployment Mode, choices split between Cloud and On Premise environments, with Cloud deployments further subdivided into Hybrid Cloud, Private Cloud, and Public Cloud models, while On Premise architectures may be centralized or distributed to the edge. Based on Communication Protocol, interoperability rests on protocols such as EtherCAT, Ethernet/IP, Modbus, PROFIBUS, and PROFINET, whose selection influences determinism and integration complexity. Based on Function Type, modular solutions address high-value operations including Assembly, Dispensing, Palletizing, Pick and Place, and Welding, which present differing demands for precision, cycle time, and safety. Finally, Based on Industry Vertical, applications span Automotive, Electronics, Food and Beverage, Metals and Mining, Oil and Gas, and Pharmaceuticals, with each vertical exposing unique subsegments such as body assembly and painting in automotive, PCB assembly and semiconductor fabrication in electronics, packaging and processing in food and beverage, material handling and smelting in metals and mining, pipeline control and refining in oil and gas, and formulation and packaging in pharmaceuticals.

Taken together, these segmentation dimensions reveal where integration complexity, service intensity, and software dependency concentrate, enabling leaders to map product roadmaps and partner ecosystems to the highest strategic priorities in their target verticals.

Regional deployment patterns and regulatory priorities are shaping where to localize manufacturing, structure services, and choose deployment architectures

Regional dynamics are shaping investment priorities and deployment modalities for modular automation in distinct ways across the world. In the Americas, demand favors flexible, service-oriented solutions that support rapid changeovers and production customization. North American and Latin American manufacturers are placing premium value on integration capabilities and aftermarket support, which reduces operational risk and shortens time-to-value when retrofitting legacy lines with modular cells.

In Europe, the Middle East & Africa region, regulatory standards, energy efficiency directives, and a pronounced emphasis on industrial interoperability are driving investments in standardized controllers, advanced sensors, and protocols that support cross-border supply chains. European manufacturers tend to prioritize deterministic communication and functional safety, and they frequently deploy hybrid cloud models to balance data sovereignty concerns with analytics needs.

Across Asia-Pacific, high-volume manufacturing centers continue to push the frontier of automation scale, with particular intensity in electronics and automotive sectors. The Asia-Pacific region displays a pronounced appetite for vertically integrated solutions that combine controllers, drives, and motors with local service networks to support rapid scaling and high-throughput operations. Moreover, the region's supplier ecosystems are highly specialized, making regional sourcing an efficient response to tariff pressures and lead-time reduction objectives.

These regional distinctions inform choices about where to localize manufacturing, how to structure service offerings, and which deployment models to prioritize to achieve both resilience and competitive performance.

Competitive strategies are evolving toward service-led models, software platforms, ecosystem partnerships, and outcome-aligned commercial constructs

Business models and competitive postures among leading companies in the modular automation ecosystem are coalescing around a few consistent themes. First, successful players are expanding from discrete hardware sales toward service-led engagements that bundle consulting, integration, and lifecycle maintenance to protect recurring revenue and strengthen customer relationships. This shift reflects the operational reality that uptime and seamless integration often deliver more customer value than single-point hardware improvements.

Second, firms are investing in software platforms and middleware to enable interoperability across heterogeneous hardware portfolios. These investments reduce friction for systems integrators and end users, while creating pathways for value capture through analytics and subscription services. Third, partnerships and certified ecosystems have become central to market strategy; companies that curate tested module libraries and provide validated integration recipes reduce deployment risk and accelerate customer adoption.

Additionally, product roadmaps indicate a stronger focus on open interfaces, standardized controller abstractions, and modular mechanical designs that simplify upgrade cycles. On the commercial side, flexible contracting models-such as outcome-based service agreements and modular licensing-are gaining traction because they align supplier incentives with operational performance. Collectively, these behaviors signal a transition from component-centric competition to solution-centric collaboration that emphasizes operational outcomes.

Actionable steps for leaders to prioritize modular roadmaps, supplier strategies, workforce development, and pilot-led scaling to capture tangible operational gains

Industry leaders can take deliberate steps to capture the benefits of modular automation while managing transitional risks. Begin by establishing a clear modularization roadmap that prioritizes high-impact functions such as assembly and pick-and-place where modular designs yield rapid performance improvements. Translate operational objectives into technical requirements that specify acceptable interfaces, communication protocols, and software integration patterns to avoid later rework.

Next, realign procurement and supplier management practices to favor modular component suppliers who provide validated integration support and multi-year component roadmaps. Negotiate terms that include lifecycle support and firmware update commitments to reduce obsolescence risk. Concurrently, invest in workforce development programs that blend controls engineering with IT and data analytics skills so internal teams can sustain modular systems and extract value from predictive maintenance and performance monitoring tools.

Operationally, adopt pilot-first deployment strategies that validate modular concepts in production-representative cells, using modularity not as a binary choice but as an incremental capability that scales. Use data-driven KPIs to measure modularization benefits, and be prepared to iterate on module interfaces based on real-world integration lessons. Finally, incorporate policy risk mitigation into strategic planning by diversifying sourcing, maintaining safety stock of critical components, and exploring local assembly or contract manufacturing to reduce exposure to tariff-driven cost shocks.

A transparent, traceable research approach combining practitioner interviews, technical validation, standards review, and scenario analysis to support action-oriented findings

The research underpinning this analysis synthesizes primary qualitative engagement with industry practitioners, technical validation from controls and software engineers, and comprehensive secondary review of standards, protocol specifications, and regulatory guidance. Primary inputs included structured interviews with plant managers, automation architects, and service providers to capture first-hand experience in modular deployments, integration challenges, and maintenance practices. These interviews were triangulated with engineering documentation and product specifications to validate component-level assertions.

Secondary sources comprised standards bodies documentation for communication protocols, white papers on software architectures, and publicly available policy notices that reflect tariff and regulatory developments. Data synthesis employed cross-validation between interview insights and technical materials, and analysts applied scenario mapping to test how component substitutions, deployment mode choices, and tariff changes influence operational resilience. The methodology emphasizes traceability: key conclusions are linked to source interviews or technical references, while limitations are clearly noted-particularly where proprietary configurations or confidential commercial terms restrict generalizability.

Ethical considerations and confidentiality agreements governed primary data collection, and sensitivity analyses were used to explore alternative supplier and deployment scenarios. The approach balances practitioner insight with technical verification to produce actionable recommendations tailored to both industrial and product strategy stakeholders.

Concluding synthesis linking modular design, supply resilience, and service-led strategies to sustained operational advantage and competitive differentiation

In summary, modular automation presents a compelling pathway to greater operational flexibility, improved uptime, and accelerated product changeover, but realizing these benefits requires coordinated decisions across engineering, procurement, and services. The combination of mature communication protocols, modular hardware components, and layered software architectures is making it feasible to assemble interoperable systems that can be reconfigured with minimal disruption.

However, external forces-especially evolving trade policy and regional supply dynamics-necessitate a deliberate approach to sourcing, design-for-manufacture, and lifecycle support. Firms that proactively redesign modules for local manufacturability, that secure robust service arrangements, and that invest in multidisciplinary capabilities are best positioned to convert modular architectures into durable competitive advantage. Additionally, the emergence of service-led contracts and platform-centric strategies points to a future in which operational outcomes, rather than discrete product features, determine vendor relationships.

As organizations move from pilots to broader rollouts, the emphasis should be on validated interfaces, repeatable integration practices, and continuous improvement processes that capture lessons from early deployments. This balancing of technical rigor and commercial flexibility will determine whether modular automation becomes a source of strategic differentiation or merely another capital expense.

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. Adoption of plug-and-play robotic arms for small batch manufacturing to reduce changeover time
• 5.2. Integration of digital twin simulation with modular automation platforms for predictive maintenance
• 5.3. Deployment of edge computing-enabled modular controllers for real-time process optimization
• 5.4. Implementation of interoperable standards like OPC UA for seamless module communication across factories
• 5.5. Utilization of AI-driven self-configuring modules to accelerate production line scalability
• 5.6. Shift toward modular automation kits designed for high throughput lab automation in biotech research
• 5.7. Growing investment in cloud-native orchestration frameworks to manage distributed automation assets
• 5.8. Focus on sustainable modular conveyor systems with adaptive energy load balancing capabilities

6. Cumulative Impact of United States Tariffs 2025

7. Cumulative Impact of Artificial Intelligence 2025

8. Modular Automation Market, by Offering

• 8.1. Hardware
  • 8.1.1. Actuators
    • 8.1.1.1. Linear Actuators
    • 8.1.1.2. Rotary Actuators
  • 8.1.2. Controllers
    • 8.1.2.1. PAC
    • 8.1.2.2. PLC
  • 8.1.3. Drives
    • 8.1.3.1. AC Drives
    • 8.1.3.2. DC Drives
  • 8.1.4. Motors
    • 8.1.4.1. Servo Motors
    • 8.1.4.2. Stepper Motors
  • 8.1.5. Sensors
    • 8.1.5.1. Force Sensors
    • 8.1.5.2. Photoelectric Sensors
    • 8.1.5.3. Proximity Sensors
    • 8.1.5.4. Vision Sensors
• 8.2. Services
  • 8.2.1. Consulting
  • 8.2.2. Integration
    • 8.2.2.1. Process Integration
    • 8.2.2.2. System Integration
  • 8.2.3. Maintenance
    • 8.2.3.1. Corrective Maintenance
    • 8.2.3.2. Preventive Maintenance
  • 8.2.4. Support
    • 8.2.4.1. Onsite Support
    • 8.2.4.2. Remote Support
    • 8.2.4.3. Technical Support
• 8.3. Software
  • 8.3.1. Analytics Software
    • 8.3.1.1. Performance Monitoring
    • 8.3.1.2. Predictive Maintenance
  • 8.3.2. Integration Software
    • 8.3.2.1. API Gateway
    • 8.3.2.2. Middleware
  • 8.3.3. Platform Software
    • 8.3.3.1. HMI
    • 8.3.3.2. MES
    • 8.3.3.3. SCADA

9. Modular Automation Market, by Component

• 9.1. Actuators
  • 9.1.1. Linear Actuators
  • 9.1.2. Rotary Actuators
• 9.2. Controllers
  • 9.2.1. PAC
  • 9.2.2. PLC
• 9.3. Drives
  • 9.3.1. AC Drives
  • 9.3.2. DC Drives
• 9.4. Motors
  • 9.4.1. Servo Motors
  • 9.4.2. Stepper Motors
• 9.5. Sensors
  • 9.5.1. Force Sensors
  • 9.5.2. Photoelectric Sensors
  • 9.5.3. Proximity Sensors
  • 9.5.4. Vision Sensors

10. Modular Automation Market, by Deployment Mode

• 10.1. Cloud
  • 10.1.1. Hybrid Cloud
  • 10.1.2. Private Cloud
  • 10.1.3. Public Cloud
• 10.2. On Premise
  • 10.2.1. Centralized
  • 10.2.2. Edge

11. Modular Automation Market, by Communication Protocol

• 11.1. EtherCAT
• 11.2. Ethernet/IP
• 11.3. Modbus
• 11.4. PROFIBUS
• 11.5. PROFINET

12. Modular Automation Market, by Function Type

• 12.1. Assembly
• 12.2. Dispensing
• 12.3. Palletizing
• 12.4. Pick And Place
• 12.5. Welding

13. Modular Automation Market, by Industry Vertical

• 13.1. Automotive
  • 13.1.1. Body Assembly
  • 13.1.2. Material Handling
  • 13.1.3. Painting
  • 13.1.4. Welding
• 13.2. Electronics
  • 13.2.1. PCB Assembly
  • 13.2.2. Semiconductor Fabrication
• 13.3. Food And Beverage
  • 13.3.1. Packaging
  • 13.3.2. Processing
• 13.4. Metals And Mining
  • 13.4.1. Material Handling
  • 13.4.2. Smelting
• 13.5. Oil And Gas
  • 13.5.1. Pipeline Control
  • 13.5.2. Refining
• 13.6. Pharmaceuticals
  • 13.6.1. Formulation
  • 13.6.2. Packaging

14. Modular Automation Market, by Region

• 14.1. Americas
  • 14.1.1. North America
  • 14.1.2. Latin America
• 14.2. Europe, Middle East & Africa
  • 14.2.1. Europe
  • 14.2.2. Middle East
  • 14.2.3. Africa
• 14.3. Asia-Pacific

15. Modular Automation Market, by Group

• 15.1. ASEAN
• 15.2. GCC
• 15.3. European Union
• 15.4. BRICS
• 15.5. G7
• 15.6. NATO

16. Modular Automation Market, by Country

• 16.1. United States
• 16.2. Canada
• 16.3. Mexico
• 16.4. Brazil
• 16.5. United Kingdom
• 16.6. Germany
• 16.7. France
• 16.8. Russia
• 16.9. Italy
• 16.10. Spain
• 16.11. China
• 16.12. India
• 16.13. Japan
• 16.14. Australia
• 16.15. South Korea

17. Competitive Landscape

• 17.1. Market Share Analysis, 2024
• 17.2. FPNV Positioning Matrix, 2024
• 17.3. Competitive Analysis
  • 17.3.1. Siemens Aktiengesellschaft
  • 17.3.2. ABB Ltd
  • 17.3.3. Schneider Electric SE
  • 17.3.4. Rockwell Automation, Inc.
  • 17.3.5. Mitsubishi Electric Corporation
  • 17.3.6. Emerson Electric Co.
  • 17.3.7. Honeywell International Inc.
  • 17.3.8. Omron Corporation
  • 17.3.9. FANUC Corporation
  • 17.3.10. Yaskawa Electric Corporation