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市场调查报告书
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1891537

智慧製造软体市场规模、占有率、成长及全球产业分析：按类型、应用和地区划分的洞察与预测（2024-2032 年）

Software for Smart Manufacturing Market Size, Share, Growth and Global Industry Analysis By Type & Application, Regional Insights and Forecast, 2024-2032
出版日期: | 出版商: Fortune Business Insights Pvt. Ltd. | 英文 178 Pages | 商品交期: 请询问到货日

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智慧製造软体市场成长驱动因素

随着製造商加速采用数位化技术以提高营运效率、生产力和竞争力，全球智慧製造软体市场正在快速扩张。 2024 年，全球智慧製造软体市场价值 1,239.4 亿美元，反映出流程製造和离散製造业对工业 4.0 解决方案的广泛应用。预计到 2025 年，该市场将成长至 1,395.2 亿美元，到 2032 年将达到 3,591.5 亿美元，展现出强劲的长期成长潜力。

智慧製造软体能够建构互联互通、数据驱动的自动化生产环境。这些解决方案透过数位化平台整合机器、系统和操作人员，这些平台利用了人工智慧 (AI)、工业物联网 (IIoT)、机器人、网路安全、云端运算和区块链等先进技术。 透过收集和分析即时数据，智慧製造软体支援预测性决策、优化营运并持续提升效能。

市场驱动因素

推动市场发展的关键因素之一是製造业数位转型的加速。世界各国政府和企业都在投资智慧工厂项目，以提高生产力、减少停机时间并增强供应链韧性。到2024年，云端平台和工业自动化工具的广泛应用将显着促进市场扩张。

不断增长的减少生产时间、营运成本和计划外停机时间的需求也在推动对智慧製造软体的需求。数位孪生、预测性维护系统和资产效能管理平台等解决方案可协助製造商及早发现潜在故障、优化工作流程并最大限度地减少浪费。随着製造商面临能源成本上升、劳动力短缺和永续发展压力，这些优势变得越来越重要。

生成式人工智慧的影响

生成式人工智慧的出现正在改变智慧製造软体领域。生成式人工智慧透过在製造系统中实现智慧决策、自适应生产计划和类人互动来增强自动化。到2024年，製造商将越来越多地整合人工智慧驱动的解决方案，以优化生产线、减少材料浪费并提高供应链的透明度。

生成式人工智慧也透过支援开源协作和进阶资料建模来加速创新。其场景模拟、设计最佳化和复杂任务自动化等功能，支援更快、更精确的製造流程。预计从2025年到2032年，主要製造业经济体对人工智慧的日益普及将推动市场成长。

市场趋势

影响市场的关键趋势包括物联网、5G网路和大数据分析在製造环境中的日益普及。支援物联网的设备可以从机器、感测器和生产系统产生大量即时数据。 将这些资讯与大数据分析结合，可实现预测性维护、品质控制和流程最佳化。

5G 技术的整合透过实现超低延迟、高速资料传输和大规模设备网路的可靠连接，进一步增强了智慧製造。这些能力对于製造工厂中的即时监控、自动驾驶和先进机器人至关重要。物联网、5G 和人工智慧的融合显着提升了智慧製造软体的价值主张。

按应用程式和部署方式的洞察

按应用领域划分，企业资源计画 (ERP) 解决方案预计将在 2024 年占最大的市场占有率，因为它们在整合采购、生产、供应链和维护营运方面发挥着重要作用。增强了人工智慧和物联网功能的 ERP 平台使製造商能够建立智慧互联的营运。

同时，在对高级自动化、客製化和轻量化零件製造的需求不断增长的推动下，预计到 2032 年，3D 列印和建模应用将实现最快的成长。 这些应用广泛应用于汽车、电子和工业製造领域，以提高生产效率并减少材料消耗。

就部署而言，截至2024年，基于云端的智慧製造软体将占市场主导地位。云端平台提供可扩展性、灵活性和即时数据访问，使其成为现代製造营运的必备工具。云端的采用还能提高韧性和永续性，使製造商能够快速应对市场变化和突发事件。

公司与产业分析

大型企业在2024年引领市场，受惠于智慧製造解决方案，这些解决方案可减少材料损耗、提高产能并缩短交货週期。然而，由于价格合理的云端解决方案使中小企业能够在全球市场中竞争，预计它们的成长速度将更快。

按行业垂直领域划分，预计流程工业将在2024年占最大占有率，这主要得益于石油和天然气、化工、製药和发电等领域对数位技术的早期采用。 同时，在先进机器人技术、人工智慧和即时分析的推动下，离散製造业，尤其是航空航太和国防领域，预计到 2032 年将实现最高成长。

区域洞察

预计北美将在 2024 年主导全球智慧製造软体市场，占 29.43% 的市场占有率，并创造 364.8 亿美元的收入。该地区受益于强大的工业自动化能力、政府支持政策以及主要技术提供者的存在。

预计亚太地区到 2032 年将保持最高成长率，这主要得益于快速的工业化、云端运算的普及以及中国、印度和东南亚对智慧製造的高度重视。 在工业4.0倡议和强劲的汽车製造业活动的推动下，欧洲也正经历稳定成长。

目录

第一章：引言

第二章：摘要整理

第三章：市场动态

  • 宏观与微观经济指标
  • 驱动因素、限制因素、机会与趋势
  • 生成式人工智慧的影响

第四章：竞争格局

  • 主要公司采用的商业策略
  • 主要公司的综合SWOT分析
  • 全球智慧製造主要软体公司市占率/排名（2023年）

第五章：全球智慧製造软体市场规模（按细分市场划分）估算与预测（2019-2032）

  • 主要研究发现
  • 按应用领域划分
    • 数位孪生
    • 企业资源规划 (ERP)
    • 品质管理
    • 供应链计划
    • 资产绩效管理
    • 製造执行系统 (MES) 自动化与编排
    • 维护、预防性和预测性维护管理
    • 3D 列印/建模
    • 产品生命週期管理
    • 其他（模拟、环境、健康与安全管理等）
  • 依公司类型划分
    • 大型企业
    • 中小企业
  • 依部署类型划分
    • 云端部署
  • 按…行业
    • 流程
      • 石油和天然气
      • 电力和能源
      • 化工
      • 製药
      • 食品和饮料
      • 金属和采矿
      • 其他（造纸和纸浆，其他）
    • 离散製造
      • 汽车
      • 电子和製造
      • 工业製造
      • 航空航太与国防
      • 其他（纺织，其他）
  • 按地区
    • 北美
    • 南美
    • 欧洲
    • 中东和非洲
    • 亚太地区

第六章 北美智慧製造软体市场规模、估算与预测（按细分市场划分） 2019-2032)

  • 依国家划分
    • 美国
    • 加拿大
    • 墨西哥

第七章：南美智慧製造软体市场规模、估算与预测（按细分市场划分，2019-2032）

  • 依国家划分
    • 巴西
    • 阿根廷
    • 南美洲其他地区

第八章：欧洲智慧製造软体市场规模、估算与预测（按细分市场划分，2019-2032）

  • 依国家/地区
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 俄罗斯
    • 比荷卢经济联盟
    • 北欧国家
    • 欧洲其他地区

第九章：中东和非洲智慧製造软体市场规模、估算和预测（按细分市场划分，2019-2032 年）

  • 依国家划分
    • 土耳其
    • 以色列
    • 海湾合作委员会
    • 北非
    • 南非
    • 中东和非洲其他地区

第十章：亚太地区智慧製造软体市场规模、估计与预测（按细分市场划分， 2019-2032)

  • 依国家/地区
    • 中国
    • 印度
    • 日本
    • 韩国
    • 东协
    • 大洋洲
    • 亚太其他地区

第十一章：十大公司简介

  • 欧特克公司
  • ABB
  • SAP SE
  • AVEVA（施耐德电机）
  • 罗克韦尔自动化
  • 西门子股份公司
  • GE Vernova（GE Digital）
  • 甲骨文公司
  • Aegis Software
  • PTC

第十二章：要点总结

Product Code: FBI110142

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

List of Tables

  • Table 1: Global Software for Smart Manufacturing Market Size Estimates and Forecasts, 2019 - 2032
  • Table 2: Global Software for Smart Manufacturing Market Size Estimates and Forecasts, By Application, 2019 - 2032
  • Table 3: Global Software for Smart Manufacturing Market Size Estimates and Forecasts, By Enterprise Type, 2019 - 2032
  • Table 4: Global Software for Smart Manufacturing Market Size Estimates and Forecasts, By Deployment, 2019 - 2032
  • Table 5: Global Software for Smart Manufacturing Market Size Estimates and Forecasts, By Industry, 2019 - 2032
  • Table 6: Global Software for Smart Manufacturing Market Size Estimates and Forecasts, By Region, 2019 - 2032
  • Table 7: North America Software for Smart Manufacturing Market Size Estimates and Forecasts, 2019 - 2032
  • Table 8: North America Software for Smart Manufacturing Market Size Estimates and Forecasts, By Application, 2019 - 2032
  • Table 9: North America Software for Smart Manufacturing Market Size Estimates and Forecasts, By Enterprise Type, 2019 - 2032
  • Table 10: North America Software for Smart Manufacturing Market Size Estimates and Forecasts, By Deployment, 2019 - 2032
  • Table 11: North America Software for Smart Manufacturing Market Size Estimates and Forecasts, By Industry, 2019 - 2032
  • Table 12: North America Software for Smart Manufacturing Market Size Estimates and Forecasts, By Country, 2019 - 2032
  • Table 13: South America Software for Smart Manufacturing Market Size Estimates and Forecasts, 2019 - 2032
  • Table 14: South America Software for Smart Manufacturing Market Size Estimates and Forecasts, By Application, 2019 - 2032
  • Table 15: South America Software for Smart Manufacturing Market Size Estimates and Forecasts, By Enterprise Type, 2019 - 2032
  • Table 16: South America Software for Smart Manufacturing Market Size Estimates and Forecasts, By Deployment, 2019 - 2032
  • Table 17: South America Software for Smart Manufacturing Market Size Estimates and Forecasts, By Industry, 2019 - 2032
  • Table 18: South America Software for Smart Manufacturing Market Size Estimates and Forecasts, By Country, 2019 - 2032
  • Table 19: Europe Software for Smart Manufacturing Market Size Estimates and Forecasts, 2019 - 2032
  • Table 20: Europe Software for Smart Manufacturing Market Size Estimates and Forecasts, By Application, 2019 - 2032
  • Table 21: Europe Software for Smart Manufacturing Market Size Estimates and Forecasts, By Enterprise Type, 2019 - 2032
  • Table 22: Europe Software for Smart Manufacturing Market Size Estimates and Forecasts, By Deployment, 2019 - 2032
  • Table 23: Europe Software for Smart Manufacturing Market Size Estimates and Forecasts, By Industry, 2019 - 2032
  • Table 24: Europe Software for Smart Manufacturing Market Size Estimates and Forecasts, By Country, 2019 - 2032
  • Table 25: Middle East and Africa Software for Smart Manufacturing Market Size Estimates and Forecasts, 2019 - 2032
  • Table 26: Middle East and Africa Software for Smart Manufacturing Market Size Estimates and Forecasts, By Application, 2019 - 2032
  • Table 27: Middle East and Africa Software for Smart Manufacturing Market Size Estimates and Forecasts, By Enterprise Type, 2019 - 2032
  • Table 28: Middle East and Africa Software for Smart Manufacturing Market Size Estimates and Forecasts, By Deployment, 2019 - 2032
  • Table 29: Middle East and Africa Software for Smart Manufacturing Market Size Estimates and Forecasts, By Industry, 2019 - 2032
  • Table 30: Middle East and Africa Software for Smart Manufacturing Market Size Estimates and Forecasts, By Country, 2019 - 2032
  • Table 31: Asia Pacific Software for Smart Manufacturing Market Size Estimates and Forecasts, 2019 - 2032
  • Table 32: Asia Pacific Software for Smart Manufacturing Market Size Estimates and Forecasts, By Application, 2019 - 2032
  • Table 33: Asia Pacific Software for Smart Manufacturing Market Size Estimates and Forecasts, By Enterprise Type, 2019 - 2032
  • Table 34: Asia Pacific Software for Smart Manufacturing Market Size Estimates and Forecasts, By Deployment, 2019 - 2032
  • Table 35: Asia Pacific Software for Smart Manufacturing Market Size Estimates and Forecasts, By Industry, 2019 - 2032
  • Table 36: Asia Pacific Software for Smart Manufacturing Market Size Estimates and Forecasts, By Country, 2019 - 2032

List of Figures

  • Figure 1: Global Software for Smart Manufacturing Market Revenue Share (%), 2023 and 2032
  • Figure 2: Global Software for Smart Manufacturing Market Revenue Share (%), By Application, 2023 and 2032
  • Figure 3: Global Software for Smart Manufacturing Market Revenue Share (%), By Enterprise Type, 2023 and 2032
  • Figure 4: Global Software for Smart Manufacturing Market Revenue Share (%), By Deployment, 2023 and 2032
  • Figure 5: Global Software for Smart Manufacturing Market Revenue Share (%), By Industry, 2023 and 2032
  • Figure 6: Global Software for Smart Manufacturing Market Revenue Share (%), By Region, 2023 and 2032
  • Figure 7: North America Software for Smart Manufacturing Market Revenue Share (%), 2023 and 2032
  • Figure 8: North America Software for Smart Manufacturing Market Revenue Share (%), By Application, 2023 and 2032
  • Figure 9: North America Software for Smart Manufacturing Market Revenue Share (%), By Enterprise Type, 2023 and 2032
  • Figure 10: North America Software for Smart Manufacturing Market Revenue Share (%), By Deployment, 2023 and 2032
  • Figure 11: North America Software for Smart Manufacturing Market Revenue Share (%), By Industry, 2023 and 2032
  • Figure 12: North America Software for Smart Manufacturing Market Revenue Share (%), By Country, 2023 and 2032
  • Figure 13: South America Software for Smart Manufacturing Market Revenue Share (%), 2023 and 2032
  • Figure 14: South America Software for Smart Manufacturing Market Revenue Share (%), By Application, 2023 and 2032
  • Figure 15: South America Software for Smart Manufacturing Market Revenue Share (%), By Enterprise Type, 2023 and 2032
  • Figure 16: South America Software for Smart Manufacturing Market Revenue Share (%), By Deployment, 2023 and 2032
  • Figure 17: South America Software for Smart Manufacturing Market Revenue Share (%), By Industry, 2023 and 2032
  • Figure 18: South America Software for Smart Manufacturing Market Revenue Share (%), By Country, 2023 and 2032
  • Figure 19: Europe Software for Smart Manufacturing Market Revenue Share (%), 2023 and 2032
  • Figure 20: Europe Software for Smart Manufacturing Market Revenue Share (%), By Application, 2023 and 2032
  • Figure 21: Europe Software for Smart Manufacturing Market Revenue Share (%), By Enterprise Type, 2023 and 2032
  • Figure 22: Europe Software for Smart Manufacturing Market Revenue Share (%), By Deployment, 2023 and 2032
  • Figure 23: Europe Software for Smart Manufacturing Market Revenue Share (%), By Industry, 2023 and 2032
  • Figure 24: Europe Software for Smart Manufacturing Market Revenue Share (%), By Country, 2023 and 2032
  • Figure 25: Middle East and Africa Software for Smart Manufacturing Market Revenue Share (%), 2023 and 2032
  • Figure 26: Middle East and Africa Software for Smart Manufacturing Market Revenue Share (%), By Application, 2023 and 2032
  • Figure 27: Middle East and Africa Software for Smart Manufacturing Market Revenue Share (%), By Enterprise Type, 2023 and 2032
  • Figure 28: Middle East and Africa Software for Smart Manufacturing Market Revenue Share (%), By Deployment, 2023 and 2032
  • Figure 29: Middle East and Africa Software for Smart Manufacturing Market Revenue Share (%), By Industry, 2023 and 2032
  • Figure 30: Middle East and Africa Software for Smart Manufacturing Market Revenue Share (%), By Country, 2023 and 2032
  • Figure 31: Asia Pacific Software for Smart Manufacturing Market Revenue Share (%), 2023 and 2032
  • Figure 32: Asia Pacific Software for Smart Manufacturing Market Revenue Share (%), By Application, 2023 and 2032
  • Figure 33: Asia Pacific Software for Smart Manufacturing Market Revenue Share (%), By Enterprise Type, 2023 and 2032
  • Figure 34: Asia Pacific Software for Smart Manufacturing Market Revenue Share (%), By Deployment, 2023 and 2032
  • Figure 35: Asia Pacific Software for Smart Manufacturing Market Revenue Share (%), By Industry, 2023 and 2032
  • Figure 36: Asia Pacific Software for Smart Manufacturing Market Revenue Share (%), By Country, 2023 and 2032
  • Figure 37: Global Software for Smart Manufacturing Key Players' Market Share/Ranking (%), 2023