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1891537

智慧製造軟體市場規模、佔有率、成長及全球產業分析：按類型、應用和地區劃分的洞察與預測（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: 請詢問到貨日

價格

智慧製造軟體市場成長驅動因素

隨著製造商加速採用數位化技術以提高營運效率、生產力和競爭力，全球智慧製造軟體市場正在快速擴張。 2024 年，全球智慧製造軟體市場價值 1,239.4 億美元，反映出流程製造和離散製造業對工業 4.0 解決方案的廣泛應用。預計到 2025 年，該市場將成長至 1,395.2 億美元，到 2032 年將達到 3,591.5 億美元，展現出強勁的長期成長潛力。

智慧製造軟體能夠建構互聯互通、數據驅動的自動化生產環境。這些解決方案透過數位化平台整合機器、系統和操作人員，這些平台利用了人工智慧 (AI)、工業物聯網 (IIoT)、機器人、網路安全、雲端運算和區塊鏈等先進技術。 透過收集和分析即時數據，智慧製造軟體支援預測性決策、優化營運並持續提升效能。

市場驅動因素

推動市場發展的關鍵因素之一是製造業數位轉型的加速。世界各國政府和企業都在投資智慧工廠項目，以提高生產力、減少停機時間並增強供應鏈韌性。到2024年，雲端平台和工業自動化工具的廣泛應用將顯著促進市場擴張。

不斷增長的減少生產時間、營運成本和計劃外停機時間的需求也在推動對智慧製造軟體的需求。數位孿生、預測性維護系統和資產效能管理平台等解決方案可協助製造商及早發現潛在故障、優化工作流程並最大限度地減少浪費。隨著製造商面臨能源成本上升、勞動力短缺和永續發展壓力，這些優勢變得越來越重要。

生成式人工智慧的影響

生成式人工智慧的出現正在改變智慧製造軟體領域。生成式人工智慧透過在製造系統中實現智慧決策、自適應生產計劃和類人互動來增強自動化。到2024年，製造商將越來越多地整合人工智慧驅動的解決方案，以優化生產線、減少材料浪費並提高供應鏈的透明度。

生成式人工智慧也透過支援開源協作和進階資料建模來加速創新。其場景模擬、設計最佳化和複雜任務自動化等功能，支援更快、更精確的製造流程。預計從2025年到2032年，主要製造業經濟體對人工智慧的日益普及將推動市場成長。

市場趨勢

影響市場的關鍵趨勢包括物聯網、5G網路和大數據分析在製造環境中的日益普及。支援物聯網的設備可以從機器、感測器和生產系統產生大量即時數據。 將這些資訊與大數據分析結合，可實現預測性維護、品質控制和流程最佳化。

5G 技術的整合透過實現超低延遲、高速資料傳輸和大規模設備網路的可靠連接，進一步增強了智慧製造。這些能力對於製造工廠中的即時監控、自動駕駛和先進機器人至關重要。物聯網、5G 和人工智慧的融合顯著提升了智慧製造軟體的價值主張。

按應用程式和部署方式的洞察

按應用領域劃分，企業資源計畫 (ERP) 解決方案預計將在 2024 年佔最大的市場佔有率，因為它們在整合採購、生產、供應鏈和維護營運方面發揮著重要作用。增強了人工智慧和物聯網功能的 ERP 平台使製造商能夠建立智慧互聯的營運。

同時，在對高級自動化、客製化和輕量化零件製造的需求不斷增長的推動下，預計到 2032 年，3D 列印和建模應用將實現最快的成長。 這些應用廣泛應用於汽車、電子和工業製造領域，以提高生產效率並減少材料消耗。

就部署而言，截至2024年，基於雲端的智慧製造軟體將佔市場主導地位。雲端平台提供可擴展性、靈活性和即時數據訪問，使其成為現代製造營運的必備工具。雲端的採用還能提高韌性和永續性，使製造商能夠快速應對市場變化和突發事件。

公司與產業分析

大型企業在2024年引領市場，受惠於智慧製造解決方案，這些解決方案可減少材料損耗、提高產能並縮短交貨週期。然而，由於價格合理的雲端解決方案使中小企業能夠在全球市場中競爭，預計它們的成長速度將更快。

按行業垂直領域劃分，預計流程工業將在2024年佔最大佔有率，這主要得益於石油和天然氣、化工、製藥和發電等領域對數位技術的早期採用。 同時，在先進機器人技術、人工智慧和即時分析的推動下，離散製造業，尤其是航空航太和國防領域，預計到 2032 年將實現最高成長。

區域洞察

預計北美將在 2024 年主導全球智慧製造軟體市場，佔 29.43% 的市場佔有率，並創造 364.8 億美元的收入。該地區受益於強大的工業自動化能力、政府支持政策以及主要技術提供者的存在。

預計亞太地區到 2032 年將保持最高成長率，這主要得益於快速的工業化、雲端運算的普及以及中國、印度和東南亞對智慧製造的高度重視。 在工業4.0倡議和強勁的汽車製造業活動的推動下，歐洲也正經歷穩定成長。

目錄

第一章：引言

第二章：摘要整理

第三章：市場動態

  • 宏觀與微觀經濟指標
  • 驅動因素、限制因素、機會與趨勢
  • 生成式人工智慧的影響

第四章：競爭格局

  • 主要公司採用的商業策略
  • 主要公司的綜合SWOT分析
  • 全球智慧製造主要軟體公司市佔率/排名（2023年）

第五章：全球智慧製造軟體市場規模（按細分市場劃分）估算與預測（2019-2032）

  • 主要研究發現
  • 按應用領域劃分
    • 數位孿生
    • 企業資源規劃 (ERP)
    • 品質管理
    • 供應鏈計劃
    • 資產績效管理
    • 製造執行系統 (MES) 自動化與編排
    • 維護、預防性和預測性維護管理
    • 3D 列印/建模
    • 產品生命週期管理
    • 其他（模擬、環境、健康與安全管理等）
  • 依公司類型劃分
    • 大型企業
    • 中小企業
  • 依部署類型劃分
    • 雲端部署
  • 按…行業
    • 流程
      • 石油和天然氣
      • 電力和能源
      • 化工
      • 製藥
      • 食品和飲料
      • 金屬和採礦
      • 其他（造紙和紙漿，其他）
    • 離散製造
      • 汽車
      • 電子和製造
      • 工業製造
      • 航空航太與國防
      • 其他（紡織，其他）
  • 按地區
    • 北美
    • 南美
    • 歐洲
    • 中東和非洲
    • 亞太地區

第六章 北美智慧製造軟體市場規模、估算與預測（按細分市場劃分） 2019-2032)

  • 依國家劃分
    • 美國
    • 加拿大
    • 墨西哥

第七章：南美智慧製造軟體市場規模、估算與預測（按細分市場劃分，2019-2032）

  • 依國家劃分
    • 巴西
    • 阿根廷
    • 南美洲其他地區

第八章：歐洲智慧製造軟體市場規模、估算與預測（按細分市場劃分，2019-2032）

  • 依國家/地區
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 俄羅斯
    • 比荷盧經濟聯盟
    • 北歐國家
    • 歐洲其他地區

第九章：中東和非洲智慧製造軟體市場規模、估算和預測（按細分市場劃分，2019-2032 年）

  • 依國家劃分
    • 土耳其
    • 以色列
    • 海灣合作委員會
    • 北非
    • 南非
    • 中東和非洲其他地區

第十章：亞太地區智慧製造軟體市場規模、估計與預測（按細分市場劃分， 2019-2032)

  • 依國家/地區
    • 中國
    • 印度
    • 日本
    • 韓國
    • 東協
    • 大洋洲
    • 亞太其他地區

第十一章：十大公司簡介

  • 歐特克公司
  • ABB
  • SAP SE
  • AVEVA（施耐德電機）
  • 羅克韋爾自動化
  • 西門子股份公司
  • GE Vernova（GE Digital）
  • 甲骨文公司
  • Aegis Software
  • PTC

第十二章：要點總結

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