The global discrete automation market size was valued at USD 9.11 billion in 2025 and is projected to grow from USD 9.79 billion in 2026 to USD 17.47 billion by 2034, registering a CAGR of 7.5% during the forecast period from 2026 to 2034. North America dominated the discrete automation market with a market share of 36.4% in 2025.
Discrete automation primarily focuses on assembling high-quality engineered components, also known as sub-assemblies, into a more efficient and vulnerable final product. Materials are often moved manually in discrete manufacturing environments such as ‘high touch’ labor environments. This technology helps administer several manufacturing processes and operations, resulting in high-quality industrial management.
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Shift Toward Software-Defined Discrete Automation Architectures
Pressure for faster production changes and less dependence on fixed-function hardware is shifting discrete automation toward software-defined architectures, where control logic can be separated from proprietary equipment and updated through software; the World Economic Forum notes that this approach enables faster reconfiguration and integration of AI, edge computing, and digital twins without replacing existing hardware.
Development of Adaptive Automation for High-Mix Low-Volume Production
Demand for customized products, smaller batches, and frequent product changes is also supporting adaptive automation for high-mix, low-volume manufacturing, with real-time data, AI, and automation allowing production systems to adjust processes and resource allocation as product requirements change; Siemens describes adaptive production as capable of responding to different production mixes and volumes while reducing the need for major system overhauls.
Increasing Demand for Industrial Productivity and Throughput and Growing Adoption of Industrial Robots Drive Market
The increasing demand for industrial productivity and throughput is driving manufacturers to adopt discrete automation systems that can increase production capacity and reduce cycle times. Higher output requirements create demand for automated assembly, material handling, motion control, and production monitoring equipment. For example, automated assembly lines in automotive plants can perform repetitive fastening and component-placement tasks at consistent speeds. Greater automation requirements encourage manufacturers to invest in new control systems, robotics, and automation equipment. This focus on production efficiency therefore supports demand in the discrete automation market.
The growing adoption of industrial robots is increasing demand for discrete automation systems that coordinate robotic motion, sensing, control, and production workflows. Higher robot deployment across automotive, electronics, and machinery manufacturing expands requirements for programmable controllers, drives, sensors, and robotic control systems. For example, robotic arms can handle welding and material transfer tasks on automotive production lines. Greater robot installations increase procurement of supporting automation hardware and software, encouraging suppliers to expand integrated automation solutions. The broader industrial robot base therefore supports growth in the discrete automation market.
High Initial Investment and Implementation Costs and Complex Integration with Existing Industrial Systems Restrain Market Expansion
High costs for robots, controllers, sensors, software, installation, and system commissioning can create a substantial financial burden for manufacturers. These expenses can be difficult to justify for smaller facilities with limited capital budgets or uncertain returns. Such investment barriers can delay automation projects and limit market adoption.
Compatibility challenges between new automation technologies, legacy equipment, software, and production networks can make system integration complex. Additional engineering, customization, and downtime may be required to connect automated systems with existing operations. These implementation challenges can increase project costs and delay adoption of discrete automation solutions.
Expansion of Industrial Cybersecurity Solutions and Development of Digital Twin Solutions for Manufacturing Offer Growth Opportunities
Automation vendors, industrial cybersecurity providers, and manufacturers with connected OT environments can address demand for plant, network, and system protection. Siemens already provides industrial cybersecurity products and services aligned with IEC 62443, creating revenue through security assessments, software, hardware, monitoring, and managed services.
Manufacturers, machine builders, automation providers, and engineering firms can use digital twins for virtual commissioning, process simulation, and production optimization. Siemens is expanding its Digital Twin portfolio, including Digital Twin Composer, creating revenue through software licenses, simulation platforms, implementation, and engineering services.
Cybersecurity Risks in Connected Automation Systems and Shortage of Interoperability Standards Hinder Growth
The growing use of connected PLCs, industrial robots, sensors, and cloud platforms increases exposure to cyberattacks, requiring manufacturers to strengthen security throughout automation networks. The 2021 ransomware attack on JBS demonstrated how cyber incidents can disrupt industrial operations, increasing concerns around connected manufacturing environments.
Different automation vendors often use proprietary communication protocols and software environments, making seamless data exchange difficult across equipment and production lines. The continued development of OPC UA and industrial interoperability standards reflects the industry's effort to address these compatibility gaps, but fragmented environments can still slow deployment.
The programmable logic controllers (PLC) segment accounted for a share of 39.5% in 2025, owing to their widespread use for machine control, process automation, and real-time monitoring across discrete manufacturing environments. The manufacturing execution system (MES) segment supports production monitoring, scheduling, and shop-floor coordination, while the distributed control system (DCS) segment enables centralized process supervision and control. The product lifecycle management (PLM) segment supports product design, development, and lifecycle coordination.
The manufacturing execution system (MES) segment is expected to grow at a CAGR of 9.6% during the forecast period 2026-2034, driven by increasing demand for real-time production visibility, digitalized manufacturing workflows, and improved coordination between shop-floor operations and enterprise systems. The programmable logic controllers (PLC), distributed control system (DCS), and product lifecycle management (PLM) segments continue to support automation, control, and product lifecycle requirements.
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The automotive segment accounted for a share of 42.7% in 2025, owing to extensive use of automated production systems across vehicle assembly, machining, welding, and material handling operations. The packaging segment supports automated filling, labeling, sorting, and handling processes, while the textile segment uses discrete automation for production and material movement. The aerospace & defense segment applies automation across precision manufacturing and assembly operations.
The automotive segment is expected to grow at a CAGR of 9.3% during the forecast period 2026-2034, driven by increasing adoption of automated manufacturing systems, demand for production efficiency, and the integration of digital technologies across automotive production lines. The packaging, textile, and aerospace & defense segments continue to support discrete automation adoption across their respective manufacturing processes.
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The North America discrete automation market accounted for the largest regional share of 36.4% in 2025. The region’s manufacturing sector is supporting automation demand, with U.S. businesses investing $12.96 billion in robotic equipment in 2022, of which manufacturing accounted for 56.2% of total spending. The United States also had 381,964 industrial robots operating in factories in 2023, up 12% from the previous year, indicating continued adoption of automated production technologies across key industries.
The United States discrete automation market is expected to benefit from semiconductor manufacturing expansion, with the U.S. Department of Commerce projecting that the country will produce roughly 20% of the world’s leading-edge logic chips by 2030, while domestic semiconductor manufacturing capacity is projected to triple between 2022 and 2032, supporting demand for automated production and process-control systems. The Canada discrete automation market is expected to benefit from manufacturing digitalization, with the Canadian government targeting a 50% increase in manufacturing sales to $1 trillion by 2030 and aiming to raise the share of manufacturing SMEs adopting Industry 4.0 technologies from 39% to at least 75%, supporting wider adoption of robotics, automation, and smart production systems.
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The Asia Pacific discrete automation market is expected to grow at a CAGR of 10.6% during the forecast period 2026–2034, showcasing the fastest-growing regional market. The region’s expansion is supported by continued industrial robot adoption, with Asia accounting for 74% of global industrial robot installations in 2024, while global installations are projected to reach 806,000 units by 2029, supporting demand for automated manufacturing, robotics, and control systems across the region.
The Japan discrete automation market is supported by the country’s AI robotics strategy, which targets the deployment of more than 300,000 AI robots between 2026 and 2030 and 10 million robots across 18 sectors by 2040, creating demand for robotics, automated production, and control technologies. The China discrete automation market is positioned for wider factory-floor automation as the 2026–2030 Five-Year Plan prioritizes robotics, high-end equipment, intelligent connected vehicles, and other strategic emerging industries, while China also targets 50,000 industrial 5G private networks and an industrial Internet core-industry value exceeding RMB 2.5 trillion by 2030.
The South Korea discrete automation market is set to expand alongside the country’s robotics deployment targets, with more than 1 million robots planned across industries by 2030, supported by over KRW 3 trillion in public-private investment and the development of at least 30 intelligent robotics companies, strengthening demand for automated manufacturing systems. The India discrete automation market is gaining support from the country’s advanced manufacturing roadmap, which identifies robotics, artificial intelligence, machine learning, and digital twins as high-impact technologies across 13 priority sectors, while manufacturing’s contribution to GVA is projected to rise from 14% in 2025 to around 21% by 2032.
The Europe discrete automation market accounted for a regional share of 27.2% in 2025. Europe’s manufacturing base provides a strong demand environment for automation, with the sector employing 29.7 million people and generating €2.2 trillion in value added, while the European Commission’s Made in Europe partnership is backed by €1.8 billion for 2021–2027 to advance digitalisation, smart manufacturing, and industrial productivity.
The UK discrete automation market is positioned for broader automation adoption, with the Smart Machines Strategy estimating that achieving potential automation rates could contribute £149.9 billion to UK GVA by 2035, while the Made Smarter programme has £116 million available to support 5,500 manufacturing businesses in adopting technologies including robotics, AI, automation, and digital twins. The Germany discrete automation market is set to advance with industrial digitalization, as Germany aims to make data-driven and AI-based applications standard across its industrial sector by 2030, while around €150 million is being provided for the Manufacturing-X initiative through 2026 to strengthen connected manufacturing ecosystems. The France discrete automation market is gaining momentum through the France 2030 robotics strategy, with 31 new robotics and smart-machine projects selected in 2026 to strengthen capabilities in industrial robotics, additive manufacturing, drones, and associated hardware and software technologies, supporting further automation across French industry.
The discrete automation market is moderately fragmented, with participation from industrial automation companies, robotics manufacturers, control-system providers, motion-control specialists, machine vision companies, and industrial software and technology suppliers. The leading players in the global discrete automation market are Siemens AG, ABB Ltd., Schneider Electric SE, Mitsubishi Electric Corporation, and Rockwell Automation, Inc., with these five companies collectively accounting for approximately 38.4% of the global discrete automation market share in 2025.
Established players compete primarily on automation system reliability, product performance, technology integration, industrial software capabilities, global service networks, scalability, and long-term customer relationships. Emerging and regional players in the discrete automation market ecosystem compete through specialized automation solutions, collaborative robotics, AI-enabled systems, modular architectures, flexible deployment, cost-efficient technologies, and application-specific solutions for small and mid-sized manufacturers.
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Author's Details
Research Analyst
Tejas Zamde is a market research professional with over 2 years of experience in the technology, semiconductor, electronics, and automotive sectors. He specializes in market assessment, competitive intelligence, industry analysis, market sizing, demand analysis, and strategic research.
His experience includes analyzing technology trends, market dynamics, regulatory developments, supply-demand patterns, value chains, and competitive landscapes across global and regional markets. He has supported clients with opportunity assessment, customer segmentation, competitive benchmarking, and growth strategy development.
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