산업용 자동화 소프트웨어 시장 : 점유율 분석, 업계 동향과 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the industrial automation software market size was valued at USD 40.83 billion in 2025 and estimated to grow from USD 43.87 billion in 2026 to reach USD 62.9 billion by 2031, at a CAGR of 7.45% during the forecast period (2026-2031).

This report is Segmented by Solution Type (Manufacturing Execution System, SCADA, Distributed Control System, and More), Deployment Mode (On-Premises, Hybrid, and More), End-User Industry (Automotive and Transportation, Food and Beverage, and More), Enterprise Size (Large Enterprises, and Small and Medium Enterprises), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Industrial Automation Software Market Trends and Insights

Rapid adoption of Industry 4.0 and smart manufacturing

Manufacturers are replacing isolated automation islands with open-architecture ecosystems that let software move freely across controllers and edge devices. ExxonMobil's commercialization of an IEC 61499 runtime exemplifies how open process automation delivers sub-millisecond response while slashing vendor lock-in costs. Edge nodes now host real-time control, whereas cloud layers handle fleet-wide optimization, allowing plants to decouple hardware refresh cycles from software innovation. Chemical processors are migrating from monolithic distributed-control systems to modular nodes, enabling rapid recipe changes without line shutdowns. Vendor-agnostic frameworks foster competitive bidding and accelerate time-to-value, reinforcing adoption across both brownfield and greenfield sites.

Increasing demand for real-time data analytics and IIoT connectivity

Time-sensitive networking (TSN) integrated with OPC UA synchronizes distributed controllers at microsecond resolution, empowering closed-loop optimization previously hindered by latency constraints. Automotive body-shops stream gigabytes of weld-quality data to AI models that adjust gun force on the next cycle, reducing scrap rates. Energy-intensive processes feed live power-pricing signals into control algorithms that shift loads within seconds to cut costs. Edge analytics execute anomaly detection locally, sending only exceptions to the cloud, shrinking bandwidth needs. This distributed-intelligence approach tightens quality control and reinforces resilience against network outages.

High upfront CAPEX and legacy-system integration complexity

Retrofitting multi-vendor control rooms often costs more than the new software because proprietary protocols demand custom gateways. Plants adopt phased rollouts to avoid downtime, stretching ROI timelines. Virtualization promises savings but many operators hesitate to virtualize safety-critical loops. SMEs lack in-house resources to manage migration, so they delay upgrades despite potential efficiency paybacks. Hybrid integration toolkits are emerging, yet their adoption is constrained by perceived reliability risks in mission-critical environments.

Other drivers and restraints analyzed in the detailed report include:

1. Rising labor cost and need for operational efficiency
2. Growing focus on cybersecurity in critical infrastructure
3. Shortage of skilled automation-software engineers

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

SCADA platforms captured 33.92% of the industrial automation software market share in 2025, underlining their role in centralized monitoring of geographically dispersed assets. Utilities lean on these systems to manage substations and renewable-generation sites, ensuring grid stability during fluctuating supply. The industrial automation software market continues to favor SCADA for its proven reliability and vendor ecosystem, yet demand is gravitating toward analytics-rich overlays that interpret operational data and trigger predictive maintenance workflows. Plant asset management and analytics solutions, growing at an 8.12% CAGR, exemplify this transition toward value-at-the-data-layer.

In process plants, distributed control systems are being modernized with open APIs, enabling third-party applications to interoperate without proprietary silos. Human-machine interface (HMI) tools are integrating augmented-reality features, cutting operator learning curves for complex batch processes. Manufacturing execution systems remain pivotal for real-time scheduling in automotive body-shops, while digital-twin and AI-optimization modules in the "Others" category are redefining how facilities simulate, test and deploy new recipes with minimum downtime.

On-premises installations maintained 55.86% of the industrial automation software market size in 2025 as safety-critical industries prefer deterministic latency and full data sovereignty. Even so, hybrid architectures are blurring distinctions: edge appliances host control logic locally, while cloud layers perform fleet analytics and enterprise resource planning synchronization. The industrial automation software market is witnessing an 8.31% CAGR for pure-cloud deployments, powered by subscription models that shift spending from capital budgets to operating budgets.

SMEs favor SaaS MES platforms that pre-configure workflows for discrete manufacturing and require no server maintenance. Large enterprises, meanwhile, pilot multi-cloud strategies that hedge vendor lock-in and comply with cross-border data regulations. Advances in secure tunneling and real-time streaming protocols are easing concerns about remote connectivity, accelerating cloud migration for historian and quality-analytics workloads where microsecond latency is non-critical.

Complete Report Scope:

• By Solution Type
  • Manufacturing Execution System (MES)
  • Supervisory Control and Data Acquisition (SCADA)
  • Distributed Control System (DCS)
  • Human-Machine Interface (HMI) Software
  • Programmable Logic Controller (PLC) Software
  • Plant Asset Management and Analytics
  • Other Solution Types
• By Deployment Mode
  • On-Premises
  • Cloud-Based
  • Hybrid
• By End-User Industry
  • Automotive and Transportation
  • Food and Beverage
  • Oil and Gas
  • Chemicals and Pharmaceuticals
  • Electronics and Semiconductors
  • Metals and Mining
  • Energy and Utilities
  • Other End-User Industries
• By Enterprise Size
  • Large Enterprises
  • Small and Medium Enterprises (SMEs)
• By Geography
  • North America
    • United States
    • Canada
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Europe
    • Germany
    • France
    • United Kingdom
    • Italy
    • Russia
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia and New Zealand
    • Rest of Asia Pacific
  • Middle East and Africa
    • Middle East
      • Saudi Arabia
      • United Arab Emirates
      • Turkey
      • Rest of Middle East
    • Africa
      • South Africa
      • Nigeria
      • Rest of Africa

Geography Analysis

Asia Pacific contributed 38.22% revenue in 2025 and is on track for an 8.09% CAGR, reflecting policy-driven adoption across China, India, Japan and South Korea. China's Made in China 2025 roadmap co-funds smart-factory pilots that intertwine AI vision inspection with real-time scheduling. India's Production-Linked Incentive schemes incentivize automated lines in electronics and automotive clusters. Japan's robotics heritage accelerates uptake of HMI innovations that blend voice commands with mixed-reality work instructions. South Korea's semiconductor giants push the envelope on precision process control, while Australia's mining sector invests in digital twins for ore-processing lines to maximize uptime in remote locations.

North America emphasizes cybersecurity and AI integration over capacity expansion. The United States deploys edge computing nodes in defense supply chains to guarantee on-premises processing of sensitive workloads, while Canadian utilities modernize SCADA for renewable integration. Europe balances efficiency with sustainability; Germany anchors open-automation consortia, France modernizes aerospace assembly with model-based systems engineering, and the United Kingdom upgrades legacy lines to shorten product-development cycles. Regulatory imperatives such as the EU Cyber Resilience Act shape vendor roadmaps, embedding compliance features into software kernels.

South American economies, notably Brazil, begin automating agribusiness processing, albeit tempered by macroeconomic volatility. The Middle East and Africa channel oil-and-gas revenue into refinery digitization projects that deploy predictive-maintenance modules validated for hazardous areas. Across regions, greenfield facilities leapfrog legacy constraints by specifying open, cloud-ready automation architectures from day one, broadening the footprint of the industrial automation software market.

1. Siemens Aktiengesellschaft
2. ABB Ltd.
3. Rockwell Automation, Inc.
4. Schneider Electric SE
5. Emerson Electric Co.
6. Honeywell International Inc.
7. Mitsubishi Electric Corporation
8. Yokogawa Electric Corporation
9. General Electric Company
10. OMRON Corporation
11. FANUC Corporation
12. Bosch Rexroth AG
13. Beckhoff Automation GmbH and Co. KG
14. Aspen Technology, Inc.
15. Dassault Systemes SE
16. PTC Inc.
17. SAP SE
18. Oracle Corporation
19. AVEVA Group plc
20. Hexagon AB
21. Siemens Digital Industries Software
22. Schneider Electric Software, LLC
23. Inductive Automation, LLC

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 Rapid adoption of Industry 4.0 and smart manufacturing
  • 4.2.2 Increasing demand for real-time data analytics and IIoT connectivity
  • 4.2.3 Rising labor cost and need for operational efficiency
  • 4.2.4 Growing focus on cybersecurity in critical infrastructure
  • 4.2.5 Convergence of low-code/no-code platforms with industrial automation
  • 4.2.6 AI-driven autonomous process optimization via reinforcement learning
• 4.3 Market Restraints
  • 4.3.1 High upfront CAPEX and legacy-system integration complexity
  • 4.3.2 Shortage of skilled automation-software engineers
  • 4.3.3 Interoperability issues from proprietary vendor protocols
  • 4.3.4 Data-sovereignty barriers limiting cloud deployment in regulated sectors
• 4.4 Regulatory Landscape
• 4.5 Technological Outlook
• 4.6 Porter's Five Forces Analysis
  • 4.6.1 Threat of New Entrants
  • 4.6.2 Bargaining Power of Suppliers
  • 4.6.3 Bargaining Power of Buyers
  • 4.6.4 Threat of Substitutes
  • 4.6.5 Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Solution Type
  • 5.1.1 Manufacturing Execution System (MES)
  • 5.1.2 Supervisory Control and Data Acquisition (SCADA)
  • 5.1.3 Distributed Control System (DCS)
  • 5.1.4 Human-Machine Interface (HMI) Software
  • 5.1.5 Programmable Logic Controller (PLC) Software
  • 5.1.6 Plant Asset Management and Analytics
  • 5.1.7 Other Solution Types
• 5.2 By Deployment Mode
  • 5.2.1 On-Premises
  • 5.2.2 Cloud-Based
  • 5.2.3 Hybrid
• 5.3 By End-User Industry
  • 5.3.1 Automotive and Transportation
  • 5.3.2 Food and Beverage
  • 5.3.3 Oil and Gas
  • 5.3.4 Chemicals and Pharmaceuticals
  • 5.3.5 Electronics and Semiconductors
  • 5.3.6 Metals and Mining
  • 5.3.7 Energy and Utilities
  • 5.3.8 Other End-User Industries
• 5.4 By Enterprise Size
  • 5.4.1 Large Enterprises
  • 5.4.2 Small and Medium Enterprises (SMEs)
• 5.5 By Geography
  • 5.5.1 North America
    • 5.5.1.1 United States
    • 5.5.1.2 Canada
  • 5.5.2 South America
    • 5.5.2.1 Brazil
    • 5.5.2.2 Argentina
    • 5.5.2.3 Rest of South America
  • 5.5.3 Europe
    • 5.5.3.1 Germany
    • 5.5.3.2 France
    • 5.5.3.3 United Kingdom
    • 5.5.3.4 Italy
    • 5.5.3.5 Russia
    • 5.5.3.6 Rest of Europe
  • 5.5.4 Asia Pacific
    • 5.5.4.1 China
    • 5.5.4.2 Japan
    • 5.5.4.3 India
    • 5.5.4.4 South Korea
    • 5.5.4.5 Australia and New Zealand
    • 5.5.4.6 Rest of Asia Pacific
  • 5.5.5 Middle East and Africa
    • 5.5.5.1 Middle East
      • 5.5.5.1.1 Saudi Arabia
      • 5.5.5.1.2 United Arab Emirates
      • 5.5.5.1.3 Turkey
      • 5.5.5.1.4 Rest of Middle East
    • 5.5.5.2 Africa
      • 5.5.5.2.1 South Africa
      • 5.5.5.2.2 Nigeria
      • 5.5.5.2.3 Rest of Africa

6 COMPETITIVE LANDSCAPE

• 6.1 Market Concentration
• 6.2 Strategic Moves
• 6.3 Market Share Analysis
• 6.4 Company Profiles {(includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share for key companies, Products and Services, and Recent Developments)}
  • 6.4.1 Siemens Aktiengesellschaft
  • 6.4.2 ABB Ltd.
  • 6.4.3 Rockwell Automation, Inc.
  • 6.4.4 Schneider Electric SE
  • 6.4.5 Emerson Electric Co.
  • 6.4.6 Honeywell International Inc.
  • 6.4.7 Mitsubishi Electric Corporation
  • 6.4.8 Yokogawa Electric Corporation
  • 6.4.9 General Electric Company
  • 6.4.10 OMRON Corporation
  • 6.4.11 FANUC Corporation
  • 6.4.12 Bosch Rexroth AG
  • 6.4.13 Beckhoff Automation GmbH and Co. KG
  • 6.4.14 Aspen Technology, Inc.
  • 6.4.15 Dassault Systemes SE
  • 6.4.16 PTC Inc.
  • 6.4.17 SAP SE
  • 6.4.18 Oracle Corporation
  • 6.4.19 AVEVA Group plc
  • 6.4.20 Hexagon AB
  • 6.4.21 Siemens Digital Industries Software
  • 6.4.22 Schneider Electric Software, LLC
  • 6.4.23 Inductive Automation, LLC

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-space and Unmet-Need Assessment