세계의 스마트 제조용 소프트웨어 시장 : 규모, 점유율, 성장 및 산업 분석, 유형별, 용도별, 지역별 인사이트 및 예측(2024-2032년)

Growth Factors of software for smart manufacturing market

The global software for smart manufacturing market is undergoing rapid expansion as manufacturers increasingly adopt digital technologies to improve operational efficiency, productivity, and competitiveness. In 2024, the global software for smart manufacturing market size was valued at USD 123.94 billion, reflecting strong adoption of Industry 4.0 solutions across process and discrete manufacturing industries. The market is projected to grow to USD 139.52 billion in 2025 and further reach USD 359.15 billion by 2032, demonstrating robust long-term growth potential.

Smart manufacturing software enables interconnected, data-driven, and automated production environments. These solutions integrate machines, systems, and human operators through digital platforms that leverage advanced technologies such as artificial intelligence, Industrial Internet of Things (IIoT), robotics, cybersecurity, cloud computing, and blockchain. By collecting and analyzing real-time data, smart manufacturing software supports predictive decision-making, operational optimization, and continuous performance improvement.

Market Growth Drivers

One of the key factors driving the market is the global acceleration of digital transformation across manufacturing sectors. Governments and enterprises worldwide are investing in smart factory initiatives to enhance productivity, reduce downtime, and improve supply chain resilience. In 2024, widespread adoption of cloud platforms and industrial automation tools significantly contributed to market expansion.

The growing need to reduce production time, operational costs, and unplanned downtime is also boosting demand for smart manufacturing software. Solutions such as digital twins, predictive maintenance systems, and asset performance management platforms help manufacturers detect potential failures early, optimize workflows, and minimize waste. These benefits are increasingly critical as manufacturers face rising energy costs, labor shortages, and sustainability pressures.

Impact of Generative AI

The emergence of generative artificial intelligence is transforming the smart manufacturing software landscape. Generative AI enhances automation by enabling intelligent decision-making, adaptive production planning, and human-like interactions within manufacturing systems. In 2024, manufacturers increasingly integrated AI-driven solutions to optimize production lines, reduce material waste, and improve supply chain visibility.

Generative AI also accelerates innovation by enabling open-source collaboration and advanced data modeling. Its ability to simulate scenarios, optimize designs, and automate complex tasks supports faster and more accurate manufacturing processes. The growing adoption of AI across major manufacturing economies is expected to support market growth through 2025 and 2032.

Market Trends

A major trend shaping the market is the rising penetration of IoT, 5G networks, and big data analytics in manufacturing environments. IoT-enabled devices generate vast amounts of real-time data from machines, sensors, and production systems. When combined with big data analytics, this information enables predictive maintenance, quality control, and process optimization.

The integration of 5G technology further enhances smart manufacturing by enabling ultra-low latency, high-speed data transmission, and reliable connectivity for large-scale device networks. These capabilities are essential for real-time monitoring, autonomous operations, and advanced robotics in manufacturing plants. The convergence of IoT, 5G, and AI is significantly enhancing the value proposition of smart manufacturing software.

Application and Deployment Insights

By application, Enterprise Resource Planning (ERP) solutions accounted for the largest market share in 2024, driven by their role in integrating procurement, production, supply chain, and maintenance operations. ERP platforms enhanced with AI and IoT capabilities enable manufacturers to build intelligent, connected operations.

Meanwhile, 3D printing and modeling applications are expected to witness the fastest growth through 2032, supported by increasing demand for advanced automation, customization, and lightweight component manufacturing. These applications are widely used in automotive, electronics, and industrial manufacturing to improve production efficiency and reduce material usage.

From a deployment perspective, cloud-based smart manufacturing software dominated the market in 2024. Cloud platforms offer scalability, flexibility, and real-time access to data, making them essential for modern manufacturing operations. Cloud adoption also improves resilience and sustainability, enabling manufacturers to respond quickly to market changes and disruptions.

Enterprise and Industry Analysis

Large enterprises led the market in 2024, benefiting from smart manufacturing solutions that reduce material losses, increase production capacity, and improve lead times. However, small and medium-sized enterprises are expected to grow at a faster pace, as affordable cloud-based solutions enable them to compete in global markets.

By industry, the process industry segment held the largest share in 2024, driven by early adoption of digital technologies in sectors such as oil & gas, chemicals, pharmaceuticals, and power generation. The discrete manufacturing segment, particularly aerospace and defense, is expected to experience the highest growth through 2032, supported by advanced robotics, AI, and real-time analytics.

Regional Insights

North America dominated the global software for smart manufacturing market in 2024, accounting for a 29.43% market share and generating USD 36.48 billion in revenue. The region benefits from strong industrial automation capabilities, supportive government initiatives, and the presence of major technology providers.

Asia Pacific is expected to record the highest growth rate through 2032, driven by rapid industrialization, cloud adoption, and strong emphasis on smart manufacturing across China, India, and Southeast Asia. Europe is also witnessing steady growth, supported by Industry 4.0 initiatives and strong automotive manufacturing activity.

Competitive Landscape

The market is highly competitive, with leading players focusing on strategic partnerships, technological innovation, and expansion of AI-enabled capabilities. Continuous investment in cloud platforms, automation tools, and advanced analytics is expected to shape competition through 2025 and 2032.

Segmentation By Application

• Digital Twin
• Enterprise Resource Planning (ERP)
• Quality Management
• Supply Chain Planning
• Asset Performance Management
• MES Automation and Orchestration
• Maintenance/Preventive/Predictive Management
• 3D Printing/Modelling
• Product Lifecycle Management
• Others (Simulation, Environmental Health and Safety Management, etc.)

By Enterprise Type

• Large Enterprises
• Small and Mid-sized Enterprises (SMEs)

By Deployment

• Cloud
• On-premises

By Industry

• Process Industry
  • Oil & Gas
  • Power & Energy
  • Chemicals
  • Pharmaceuticals
  • Food & Beverages
  • Metal & Mining
  • Others (Paper and Pulp, etc.)
• Discrete Industry
  • Automotive
  • Electronics and Manufacturing
  • Industrial Manufacturing
  • Aerospace and Defense
  • Others (Textile, etc.)

By Region

• North America (By Application, Enterprise Type, Deployment, Industry, and Country)
  • U.S.
  • Canada
  • Mexico
• South America (By Application, Enterprise Type, Deployment, Industry, and Country)
  • Brazil
  • Argentina
  • Rest of South America
• Europe (By Application, Enterprise Type, Deployment, Industry, and Country)
  • U.K.
  • Germany
  • France
  • Italy
  • Spain
  • Russia
  • Benelux
  • Nordics
  • Rest of Europe
• Middle East & Africa (By Application, Enterprise Type, Deployment, Industry, and Country)
  • Turkey
  • Israel
  • GCC
  • North Africa
  • South Africa
  • Rest of the Middle East & Africa
• Asia Pacific (By Application, Enterprise Type, Deployment, Industry, and Country)
  • China
  • India
  • Japan
  • South Korea
  • ASEAN
  • Oceania
  • Rest of Asia Pacific

Table of Content

1. Introduction

• 1.1. Definition, By Segment
• 1.2. Research Methodology/Approach
• 1.3. Data Sources

2. Executive Summary

3. Market Dynamics

• 3.1. Macro and Micro Economic Indicators
• 3.2. Drivers, Restraints, Opportunities and Trends
• 3.3. Impact of Generative AI

4. Competition Landscape

• 4.1. Business Strategies Adopted by Key Players
• 4.2. Consolidated SWOT Analysis of Key Players
• 4.3. Global Software for Smart Manufacturing Key Players Market Share/Ranking, 2023

5. Global Software for Smart Manufacturing Market Size Estimates and Forecasts, By Segments, 2019-2032

• 5.1. Key Findings
• 5.2. By Application (USD)
  • 5.2.1. Digital Twin
  • 5.2.2. Enterprise Resource Planning (ERP)
  • 5.2.3. Quality Management
  • 5.2.4. Supply Chain Planning
  • 5.2.5. Asset Performance Management
  • 5.2.6. MES Automation and Orchestration
  • 5.2.7. Maintenance/Preventive/Predictive Management
  • 5.2.8. 3D Printing/Modelling
  • 5.2.9. Product Lifecycle Management
  • 5.2.10. Others (Simulation, Environmental Health and Safety Management, etc.)
• 5.3. By Enterprise Type (USD)
  • 5.3.1. Large Enterprises
  • 5.3.2. SMEs
• 5.4. By Deployment (USD)
  • 5.4.1. Cloud
  • 5.4.2. On-premises
• 5.5. By Industry (USD)
  • 5.5.1. Process
    • 5.5.1.1. Oil & Gas
    • 5.5.1.2. Power & Energy
    • 5.5.1.3. Chemicals
    • 5.5.1.4. Pharmaceuticals
    • 5.5.1.5. Food & Beverages
    • 5.5.1.6. Metal & Mining
    • 5.5.1.7. Others (Paper and Pulp, etc.)
  • 5.5.2. Discrete
    • 5.5.2.1. Automotive
    • 5.5.2.2. Electronics and Manufacturing
    • 5.5.2.3. Industrial Manufacturing
    • 5.5.2.4. Aerospace and Defense
    • 5.5.2.5. Others (Textile, etc.)
• 5.6. By Region (USD)
  • 5.6.1. North America
  • 5.6.2. South America
  • 5.6.3. Europe
  • 5.6.4. Middle East & Africa
  • 5.6.5. Asia Pacific

6. North America Software for Smart Manufacturing Market Size Estimates and Forecasts, By Segments, 2019-2032

• 6.1. Key Findings
• 6.2. By Application (USD)
  • 6.2.1. Digital Twin
  • 6.2.2. Enterprise Resource Planning (ERP)
  • 6.2.3. Quality Management
  • 6.2.4. Supply Chain Planning
  • 6.2.5. Asset Performance Management
  • 6.2.6. MES Automation and Orchestration
  • 6.2.7. Maintenance/Preventive/Predictive Management
  • 6.2.8. 3D Printing/Modelling
  • 6.2.9. Product Lifecycle Management
  • 6.2.10. Others (Simulation, Environmental Health and Safety Management, etc.)
• 6.3. By Enterprise Type (USD)
  • 6.3.1. Large Enterprises
  • 6.3.2. SMEs
• 6.4. By Deployment (USD)
  • 6.4.1. Cloud
  • 6.4.2. On-premises
• 6.5. By Industry (USD)
  • 6.5.1. Process
    • 6.5.1.1. Oil & Gas
    • 6.5.1.2. Power & Energy
    • 6.5.1.3. Chemicals
    • 6.5.1.4. Pharmaceuticals
    • 6.5.1.5. Food & Beverages
    • 6.5.1.6. Metal & Mining
    • 6.5.1.7. Others (Paper and Pulp, etc.)
  • 6.5.2. Discrete
    • 6.5.2.1. Automotive
    • 6.5.2.2. Electronics and Manufacturing
    • 6.5.2.3. Industrial Manufacturing
    • 6.5.2.4. Aerospace and Defense
    • 6.5.2.5. Others (Textile, etc.)
• 6.6. By Country (USD)
  • 6.6.1. United States
  • 6.6.2. Canada
  • 6.6.3. Mexico

7. South America Software for Smart Manufacturing Market Size Estimates and Forecasts, By Segments, 2019-2032

• 7.1. Key Findings
• 7.2. By Application (USD)
  • 7.2.1. Digital Twin
  • 7.2.2. Enterprise Resource Planning (ERP)
  • 7.2.3. Quality Management
  • 7.2.4. Supply Chain Planning
  • 7.2.5. Asset Performance Management
  • 7.2.6. MES Automation and Orchestration
  • 7.2.7. Maintenance/Preventive/Predictive Management
  • 7.2.8. 3D Printing/Modelling
  • 7.2.9. Product Lifecycle Management
  • 7.2.10. Others (Simulation, Environmental Health and Safety Management, etc.)
• 7.3. By Enterprise Type (USD)
  • 7.3.1. Large Enterprises
  • 7.3.2. SMEs
• 7.4. By Deployment (USD)
  • 7.4.1. Cloud
  • 7.4.2. On-premises
• 7.5. By Industry (USD)
  • 7.5.1. Process
    • 7.5.1.1. Oil & Gas
    • 7.5.1.2. Power & Energy
    • 7.5.1.3. Chemicals
    • 7.5.1.4. Pharmaceuticals
    • 7.5.1.5. Food & Beverages
    • 7.5.1.6. Metal & Mining
    • 7.5.1.7. Others (Paper and Pulp, etc.)
  • 7.5.2. Discrete
    • 7.5.2.1. Automotive
    • 7.5.2.2. Electronics and Manufacturing
    • 7.5.2.3. Industrial Manufacturing
    • 7.5.2.4. Aerospace and Defense
    • 7.5.2.5. Others (Textile, etc.)
• 7.6. By Country (USD)
  • 7.6.1. Brazil
  • 7.6.2. Argentina
  • 7.6.3. Rest of South America

8. Europe Software for Smart Manufacturing Market Size Estimates and Forecasts, By Segments, 2019-2032

• 8.1. Key Findings
• 8.2. By Application (USD)
  • 8.2.1. Digital Twin
  • 8.2.2. Enterprise Resource Planning (ERP)
  • 8.2.3. Quality Management
  • 8.2.4. Supply Chain Planning
  • 8.2.5. Asset Performance Management
  • 8.2.6. MES Automation and Orchestration
  • 8.2.7. Maintenance/Preventive/Predictive Management
  • 8.2.8. 3D Printing/Modelling
  • 8.2.9. Product Lifecycle Management
  • 8.2.10. Others (Simulation, Environmental Health and Safety Management, etc.)
• 8.3. By Enterprise Type (USD)
  • 8.3.1. Large Enterprises
  • 8.3.2. SMEs
• 8.4. By Deployment (USD)
  • 8.4.1. Cloud
  • 8.4.2. On-premises
• 8.5. By Industry (USD)
  • 8.5.1. Process
    • 8.5.1.1. Oil & Gas
    • 8.5.1.2. Power & Energy
    • 8.5.1.3. Chemicals
    • 8.5.1.4. Pharmaceuticals
    • 8.5.1.5. Food & Beverages
    • 8.5.1.6. Metal & Mining
    • 8.5.1.7. Others (Paper and Pulp, etc.)
  • 8.5.2. Discrete
    • 8.5.2.1. Automotive
    • 8.5.2.2. Electronics and Manufacturing
    • 8.5.2.3. Industrial Manufacturing
    • 8.5.2.4. Aerospace and Defense
    • 8.5.2.5. Others (Textile, etc.)
• 8.6. By Country (USD)
  • 8.6.1. United Kingdom
  • 8.6.2. Germany
  • 8.6.3. France
  • 8.6.4. Italy
  • 8.6.5. Spain
  • 8.6.6. Russia
  • 8.6.7. Benelux
  • 8.6.8. Nordics
  • 8.6.9. Rest of Europe

9. Middle East & Africa Software for Smart Manufacturing Market Size Estimates and Forecasts, By Segments, 2019-2032

• 9.1. Key Findings
• 9.2. By Application (USD)
  • 9.2.1. Digital Twin
  • 9.2.2. Enterprise Resource Planning (ERP)
  • 9.2.3. Quality Management
  • 9.2.4. Supply Chain Planning
  • 9.2.5. Asset Performance Management
  • 9.2.6. MES Automation and Orchestration
  • 9.2.7. Maintenance/Preventive/Predictive Management
  • 9.2.8. 3D Printing/Modelling
  • 9.2.9. Product Lifecycle Management
  • 9.2.10. Others (Simulation, Environmental Health and Safety Management, etc.)
• 9.3. By Enterprise Type (USD)
  • 9.3.1. Large Enterprises
  • 9.3.2. SMEs
• 9.4. By Deployment (USD)
  • 9.4.1. Cloud
  • 9.4.2. On-premises
• 9.5. By Industry (USD)
  • 9.5.1. Process
    • 9.5.1.1. Oil & Gas
    • 9.5.1.2. Power & Energy
    • 9.5.1.3. Chemicals
    • 9.5.1.4. Pharmaceuticals
    • 9.5.1.5. Food & Beverages
    • 9.5.1.6. Metal & Mining
    • 9.5.1.7. Others (Paper and Pulp, etc.)
  • 9.5.2. Discrete
    • 9.5.2.1. Automotive
    • 9.5.2.2. Electronics and Manufacturing
    • 9.5.2.3. Industrial Manufacturing
    • 9.5.2.4. Aerospace and Defense
    • 9.5.2.5. Others (Textile, etc.)
• 9.6. By Country (USD)
  • 9.6.1. Turkey
  • 9.6.2. Israel
  • 9.6.3. GCC
  • 9.6.4. North Africa
  • 9.6.5. South Africa
  • 9.6.6. Rest of MEA

10. Asia Pacific Software for Smart Manufacturing Market Size Estimates and Forecasts, By Segments, 2019-2032

• 10.1. Key Findings
• 10.2. By Application (USD)
  • 10.2.1. Digital Twin
  • 10.2.2. Enterprise Resource Planning (ERP)
  • 10.2.3. Quality Management
  • 10.2.4. Supply Chain Planning
  • 10.2.5. Asset Performance Management
  • 10.2.6. MES Automation and Orchestration
  • 10.2.7. Maintenance/Preventive/Predictive Management
  • 10.2.8. 3D Printing/Modelling
  • 10.2.9. Product Lifecycle Management
  • 10.2.10. Others (Simulation, Environmental Health and Safety Management, etc.)
• 10.3. By Enterprise Type (USD)
  • 10.3.1. Large Enterprises
  • 10.3.2. SMEs
• 10.4. By Deployment (USD)
  • 10.4.1. Cloud
  • 10.4.2. On-premises
• 10.5. By Industry (USD)
  • 10.5.1. Process
    • 10.5.1.1. Oil & Gas
    • 10.5.1.2. Power & Energy
    • 10.5.1.3. Chemicals
    • 10.5.1.4. Pharmaceuticals
    • 10.5.1.5. Food & Beverages
    • 10.5.1.6. Metal & Mining
    • 10.5.1.7. Others (Paper and Pulp, etc.)
  • 10.5.2. Discrete
    • 10.5.2.1. Automotive
    • 10.5.2.2. Electronics and Manufacturing
    • 10.5.2.3. Industrial Manufacturing
    • 10.5.2.4. Aerospace and Defense
    • 10.5.2.5. Others (Textile, etc.)
• 10.6. By Country (USD)
  • 10.6.1. China
  • 10.6.2. India
  • 10.6.3. Japan
  • 10.6.4. South Korea
  • 10.6.5. ASEAN
  • 10.6.6. Oceania
  • 10.6.7. Rest of Asia Pacific

11. Company Profiles for Top 10 Players

• 11.1. Autodesk Inc.
  • 11.1.1. Overview
    • 11.1.1.1. Key Management
    • 11.1.1.2. Headquarters
    • 11.1.1.3. Offerings/Business Segments
  • 11.1.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.1.2.1. Employee Size
    • 11.1.2.2. Past and Current Revenue
    • 11.1.2.3. Geographical Share
    • 11.1.2.4. Business Segment Share
    • 11.1.2.5. Recent Developments
• 11.2. ABB
  • 11.2.1. Overview
    • 11.2.1.1. Key Management
    • 11.2.1.2. Headquarters
    • 11.2.1.3. Offerings/Business Segments
  • 11.2.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.2.2.1. Employee Size
    • 11.2.2.2. Past and Current Revenue
    • 11.2.2.3. Geographical Share
    • 11.2.2.4. Business Segment Share
    • 11.2.2.5. Recent Developments
• 11.3. SAP SE
  • 11.3.1. Overview
    • 11.3.1.1. Key Management
    • 11.3.1.2. Headquarters
    • 11.3.1.3. Offerings/Business Segments
  • 11.3.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.3.2.1. Employee Size
    • 11.3.2.2. Past and Current Revenue
    • 11.3.2.3. Geographical Share
    • 11.3.2.4. Business Segment Share
    • 11.3.2.5. Recent Developments
• 11.4. AVEVA (Schneider Electric)
  • 11.4.1. Overview
    • 11.4.1.1. Key Management
    • 11.4.1.2. Headquarters
    • 11.4.1.3. Offerings/Business Segments
  • 11.4.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.4.2.1. Employee Size
    • 11.4.2.2. Past and Current Revenue
    • 11.4.2.3. Geographical Share
    • 11.4.2.4. Business Segment Share
    • 11.4.2.5. Recent Developments
• 11.5. Rockwell Automation
  • 11.5.1. Overview
    • 11.5.1.1. Key Management
    • 11.5.1.2. Headquarters
    • 11.5.1.3. Offerings/Business Segments
  • 11.5.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.5.2.1. Employee Size
    • 11.5.2.2. Past and Current Revenue
    • 11.5.2.3. Geographical Share
    • 11.5.2.4. Business Segment Share
    • 11.5.2.5. Recent Developments
• 11.6. Siemens AG
  • 11.6.1. Overview
    • 11.6.1.1. Key Management
    • 11.6.1.2. Headquarters
    • 11.6.1.3. Offerings/Business Segments
  • 11.6.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.6.2.1. Employee Size
    • 11.6.2.2. Past and Current Revenue
    • 11.6.2.3. Geographical Share
    • 11.6.2.4. Business Segment Share
    • 11.6.2.5. Recent Developments
• 11.7. GE Vernova (GE Digital)
  • 11.7.1. Overview
    • 11.7.1.1. Key Management
    • 11.7.1.2. Headquarters
    • 11.7.1.3. Offerings/Business Segments
  • 11.7.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.7.2.1. Employee Size
    • 11.7.2.2. Past and Current Revenue
    • 11.7.2.3. Geographical Share
    • 11.7.2.4. Business Segment Share
    • 11.7.2.5. Recent Developments
• 11.8. Oracle Corporation
  • 11.8.1. Overview
    • 11.8.1.1. Key Management
    • 11.8.1.2. Headquarters
    • 11.8.1.3. Offerings/Business Segments
  • 11.8.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.8.2.1. Employee Size
    • 11.8.2.2. Past and Current Revenue
    • 11.8.2.3. Geographical Share
    • 11.8.2.4. Business Segment Share
    • 11.8.2.5. Recent Developments
• 11.9. Aegis Software
  • 11.9.1. Overview
    • 11.9.1.1. Key Management
    • 11.9.1.2. Headquarters
    • 11.9.1.3. Offerings/Business Segments
  • 11.9.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.9.2.1. Employee Size
    • 11.9.2.2. Past and Current Revenue
    • 11.9.2.3. Geographical Share
    • 11.9.2.4. Business Segment Share
    • 11.9.2.5. Recent Developments
• 11.10. PTC
  • 11.10.1. Overview
    • 11.10.1.1. Key Management
    • 11.10.1.2. Headquarters
    • 11.10.1.3. Offerings/Business Segments
  • 11.10.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.10.2.1. Employee Size
    • 11.10.2.2. Past and Current Revenue
    • 11.10.2.3. Geographical Share
    • 11.10.2.4. Business Segment Share
    • 11.10.2.5. Recent Developments

12. Key Takeaways