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1822333

2032 年工廠數位化和自動化市場預測:按組件、技術、應用和地區進行的全球分析

Factory Digitalization and Automation Market Forecasts to 2032 - Global Analysis By Component (Hardware, Software and Services), Technology, Application and By Geography

出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據,全球工廠數位化和自動化市場預計在 2025 年達到 2.3734 億美元,到 2032 年將達到 3.9633 億美元,預測期內的複合年成長率為 7.6%。

工廠數位化和自動化正在重塑製造業,將人工智慧、物聯網、機器人和雲端平台等技術融入生產流程。這種整合實現了持續監控、預測性維護和數據驅動的決策,從而提高了效率、產量和產品可靠性。自動化可以降低營運成本和人為錯誤,並提高職場的安全性。數位雙胞胎、智慧感測器和互聯機器等技術實現了生產線之間的順暢通訊,幫助製造商更快地響應市場變化。

《晶片與科學法案》累計近530億美元,用於振興美國製造業和半導體生產。這些現代化工廠需要廣泛的自動化,為機器人技術和數位工廠技術創造了龐大的商機。

對營運效率的需求不斷增加

追求更高的營運效率是工廠自動化數位化的關鍵驅動力。企業致力於改善生產流程、縮短製造週期並提高整體產量,以滿足不斷成長的市場需求。人工智慧、機器人和物聯網設備等技術能夠實現持續監控、預測服務和最佳化流程,從而減少停機時間和錯誤。數位化系統有助於最大限度地減少資源消耗並降低營運成本,同時保持高品質的生產。競爭格局迫使製造商從傳統方法轉向智慧、技術主導的解決方案。提高效率不僅可以降低成本,還可以提高盈利、營運可靠性和客戶滿意度,這使得自動化成為現代工廠的策略性必要。

初期投資成本高

工廠數位化和自動化的高昂前期成本是市場擴張的重大障礙。部署先進的機器人技術、人工智慧解決方案、物聯網設備和整合軟體需要大量資金,這使得中小型製造商難以採用。系統安裝、員工培訓和持續維護相關的成本增加了財務負擔。這些財務挑戰可能會延遲或限制智慧製造解決方案的採用,尤其是在資源有限的地區。雖然長期效益包括提高生產力和營運效率,但高昂的前期支出仍然是一個重大限制因素,阻礙了許多公司在各個工業領域快速採用數位化和自動化工廠解決方案。

採用智慧製造技術

智慧製造技術的日益普及,為工廠數位化和自動化市場創造了巨大的機會。人工智慧、機器人、物聯網感測器數位雙胞胎技術等工具使製造商能夠簡化營運流程、提高產品品質並降低營運成本。投資這些先進的系統可以實現即時監控、預測性維護和數據驅動的決策,從而提高效率和市場競爭力。工業4.0趨勢鼓勵使用靈活且可擴展的自動化解決方案。實施智慧製造技術使工廠能夠快速適應不斷變化的市場需求,減少資源浪費並最佳化生產力。這為利用數位化和自動化工廠系統的公司創造了廣闊的成長前景。

監理與合規挑戰

監管和合規問題對工廠數位化和自動化的推廣構成了重大威脅。各國在機器人技術、數位平台和資料管治方面存在差異,不僅增加了全球擴張的複雜性,也增加了成本。製造商還必須遵守安全、勞工和環境法規,這在實施自動化技術時帶來了更多挑戰。不遵守法規可能會導致處罰、生產中斷和聲譽受損。不斷變化的法規,尤其是與資料安全和隱私相關的法規,需要持續監控和調整。這種不確定性可能會阻礙企業投資新的數位系統或擴展現有的自動化營運,從而限制市場成長,並減緩數位化化工廠解決方案在全球的廣泛應用。

COVID-19的影響:

新冠疫情對工廠數位化和自動化市場產生了重大影響。停工、勞動力短缺和供應鏈中斷迫使製造商加快部署自動化數位化系統。對機器人、物聯網設備和遠端監控的日益依賴,使工廠能夠在保持生產力的同時,最大限度地減少人工干預。疫情凸顯了具有韌性、適應性強和互聯互通的製造系統的重要性,即使在不可預見的中斷情況下也能正常運作。因此,對智慧工廠技術的投資激增,推動了預測性維護、即時效能追蹤和營運效率的提升。

人工智慧 (AI) 領域預計將成為預測期內最大的領域

人工智慧 (AI) 領域預計將在預測期內佔據最大的市場佔有率,這得益於其在現代製造業中的廣泛應用。 AI 支援預測性維護、即時監控、自動化流程和資料主導決策,從而提高效率並最大限度地減少生產中斷。利用基於 AI 的分析技術,製造商可以識別流程效率低下之處,提高產品一致性並最佳化資源利用率。結合物聯網、雲端平台和機器人等其他技術,AI 可以增強智慧工廠的功能。其廣泛的應用範圍,包括生產計畫、品質保證和供應鏈最佳化,使其成為工業營運數位轉型的核心解決方案。

預計電子和半導體在預測期內的複合年成長率最高

預計電子和半導體產業將在預測期內實現最高成長率。持續的技術創新、對精密零件日益成長的需求以及加速生產的需求,正在推動製造商採用先進的自動化和數位化解決方案。包括人工智慧、機器人和物聯網在內的智慧工廠技術正在提高流程效率、減少缺陷並提升產品品質。該行業對微型化、高效能和快速創新的重視,正在推動對即時監控和預測性維護的需求。透過投資工業 4.0 解決方案,電子和半導體製造商可以增強其競爭力、營運靈活性以及應對力,從而支持其持續的數位轉型和成長。

佔比最大的地區:

在預測期內,北美預計將佔據最大的市場佔有率,這得益於其先進的工業基礎設施、工業 4.0 技術的廣泛應用以及主要市場參與者的集中。該地區已在汽車、電子和航太等領域廣泛採用人工智慧、物聯網、機器人和雲端解決方案。強大的研發投入和積極的政府支持數位轉型的舉措,正在推動北美製造商將數位解決方案納入核心生產活動,並專注於營運效率、預測性維護和即時過程監控。技術成熟度、對創新的關注以及政策支援的結合,使北美成為推動全球數位化和自動化工廠解決方案的主要地區。

複合年成長率最高的地區:

在預測期內,亞太地區預計將呈現最高的複合年成長率,這得益於其快速的工業擴張、工業 4.0 技術的日益普及以及對智慧工廠解決方案的大量投資。中國、印度和日本等主要經濟體正擴大採用人工智慧、物聯網、機器人和雲端技術來提高效率並降低生產成本。汽車、電子和製藥業的強勁需求將進一步推動成長。政府推動數位轉型的政策,以及對靈活和永續生產實踐的關注,正在推動自動化的普及。綜合來看,這些因素使亞太地區成為全球工廠數位化和自動化領域成長最快的地區。

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此報告的訂閱者可以使用以下免費自訂選項之一:

  • 公司簡介
    • 對最多三家其他市場公司進行全面分析
    • 主要企業的SWOT分析(最多3家公司)
  • 區域細分
    • 根據客戶興趣對主要國家進行的市場估計、預測和複合年成長率(註:基於可行性檢查)
  • 競爭基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 研究途徑
  • 研究材料
    • 主要研究資料
    • 次級研究資訊來源
    • 先決條件

第3章市場走勢分析

  • 驅動程式
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 新興市場
  • COVID-19的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買方的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球工廠數位化和自動化市場(按組件)

  • 硬體
    • 工業感測器
    • 控制器
    • 人機介面(HMI)
    • 工業機器人
    • 機器視覺系統
  • 軟體
    • 製造執行系統(MES)
    • 監控和數據採集(SCADA)
    • 工廠資產管理
    • 數位雙胞胎平台
  • 服務
    • 系統整合
    • 諮詢與培訓
    • 維護和支援

6. 全球工廠數位化和自動化市場(按技術)

  • 人工智慧(AI)
  • 物聯網(IoT)
  • 雲端運算
  • 邊緣運算
  • 工業系統網路安全
  • 5G連接
  • 數位雙胞胎
  • 擴增實境(AR) 和虛擬實境 (VR)
  • 進階分析和巨量資料

第7章全球工廠數位化和自動化市場(按應用)

  • 電子和半導體
  • 製藥
  • 飲食
  • 航太/國防
  • 化學品
  • 能源與公共產業
  • 消費品
  • 金屬和採礦
  • 纖維
  • 物流/倉儲

8. 全球工廠數位化和自動化市場(按地區)

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第9章:主要進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第10章:企業概況

  • ABB
  • Siemens
  • Honeywell International
  • Rockwell Automation
  • Emerson Electric
  • Mitsubishi Electric
  • Schneider Electric
  • Yokogawa Electric
  • FANUC
  • Omron
  • AVEVA
  • General Electric(GE)
  • Dassault Systemes
  • Bosch
  • SAP
Product Code: SMRC31087

According to Stratistics MRC, the Global Factory Digitalization and Automation Market is accounted for $237.34 million in 2025 and is expected to reach $396.33 million by 2032 growing at a CAGR of 7.6% during the forecast period. The digitalization and automation of factories are reshaping manufacturing by embedding technologies like AI, IoT, robotics, and cloud platforms into production workflows. This integration allows for continuous monitoring, predictive upkeep, and data-informed decisions, boosting efficiency, output, and product reliability. Automation lowers operational expenses and human errors while promoting workplace safety. Technologies such as digital twins, smart sensors, and interconnected machinery enable smooth communication across production lines, helping manufacturers adapt swiftly to market changes.

According to the CHIPS and Science Act, nearly $53 billion was appropriated to revive U.S. manufacturing and semiconductor production. These modern fabs require extensive automation, creating significant opportunities for robotics and digital factory technologies.

Market Dynamics:

Driver:

Rising demand for operational efficiency

The pursuit of higher operational efficiency is a key factor driving factory automation and digitalization. Businesses aim to improve production workflows, shorten manufacturing cycles, and increase overall output to fulfill growing market demands. Technologies like AI, robotics, and IoT devices allow continuous monitoring, predictive servicing, and optimized processes, reducing downtime and errors. Digital systems help minimize resource consumption and cut operational expenses while maintaining high-quality output. The competitive global landscape forces manufacturers to shift from conventional approaches toward smart, technology-driven solutions. Enhancing efficiency not only lowers costs but also improves profitability, operational reliability, and customer satisfaction, making automation a strategic necessity for modern factories.

Restraint:

High initial investment costs

High upfront costs for factory digitalization and automation are a critical barrier to market expansion. Deploying advanced robotics, AI solutions, IoT-enabled devices, and integrated software requires significant capital, making adoption difficult for small and mid-sized manufacturers. Costs related to system installation, workforce training, and ongoing maintenance add to the financial load. These financial challenges can slow down or restrict the implementation of smart manufacturing solutions, especially in regions with limited resources. Although long-term gains include improved productivity and operational efficiency, the substantial initial expenditure remains a key restraint, preventing many companies from rapidly embracing digital and automated factory solutions across diverse industrial sectors.

Opportunity:

Adoption of smart manufacturing technologies

Increasing adoption of smart manufacturing technologies creates substantial opportunities in the factory digitalization and automation market. Tools like AI, robotics, IoT sensors, and digital twin technologies allow manufacturers to streamline operations, enhance product quality, and cut operational expenses. Investing in these advanced systems enables real-time monitoring, predictive upkeep, and data-informed decision-making, boosting both efficiency and market competitiveness. The Industry 4.0 trend encourages the use of flexible, scalable automated solutions. By deploying smart manufacturing technologies, factories can quickly adjust to shifting market demands, reduce resource waste, and optimize productivity. This creates promising growth avenues for companies leveraging digital and automated factory systems.

Threat:

Regulatory and compliance challenges

Regulatory and compliance issues are significant threats to the adoption of factory digitalization and automation. Varying standards across countries for robotics, digital platforms, and data governance complicate global deployment and increase costs. Manufacturers must also adhere to safety, labor, and environmental regulations, creating additional challenges when implementing automation technologies. Failure to comply can result in penalties, production interruptions, and reputational harm. Constantly evolving regulations, especially regarding data security and privacy, demand ongoing monitoring and adaptation. Such uncertainties may deter companies from investing in new digital systems or expanding existing automated operations, restricting market growth and slowing the broader adoption of digitalized factory solutions worldwide.

Covid-19 Impact:

The COVID-19 outbreak significantly influenced the factory digitalization and automation market. Lockdowns, workforce shortages, and disrupted supply chains compelled manufacturers to adopt automated and digital systems more rapidly. Increased reliance on robotics, IoT devices and remote monitoring enabled factories to operate with minimal human involvement while maintaining productivity. The pandemic underscored the importance of resilient, adaptable, and interconnected manufacturing systems capable of functioning during unforeseen disruptions. Consequently, investments in smart factory technologies surged, facilitating predictive maintenance, real-time performance tracking, and improved operational efficiency.

The artificial intelligence (AI) segment is expected to be the largest during the forecast period

The artificial intelligence (AI) segment is expected to account for the largest market share during the forecast period due to its broad range of applications in modern manufacturing. AI supports predictive maintenance, real-time monitoring, automated processes, and data-driven decision-making, boosting efficiency and minimizing production interruptions. By using AI-based analytics, manufacturers can identify process inefficiencies, improve product consistency, and optimize the use of resources. When combined with other technologies like IoT, cloud platforms, and robotics, AI amplifies the capabilities of smart factories. Its applicability across production planning, quality assurance, and supply chain optimization makes it the most widely implemented solution, serving as a central component in the ongoing digital transformation of industrial operations.

The electronics & semiconductors segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the electronics & semiconductors segment is predicted to witness the highest growth rate. Continuous technological innovation, rising demand for precision components, and the requirement for accelerated production have encouraged manufacturers to adopt advanced automation and digital solutions. Smart factory technologies, including AI, robotics, and IoT, enhance process efficiency, reduce defects, and improve product quality. The sector's emphasis on miniaturization, high performance, and rapid innovation drives the need for real-time monitoring and predictive maintenance. By investing in Industry 4.0 solutions, electronics and semiconductor manufacturers enhance competitiveness, operational flexibility, and responsiveness to changing market requirements, supporting sustained digital transformation and growth.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, owing to its advanced industrial infrastructure, extensive use of Industry 4.0 technologies, and concentration of leading market players. The region has witnessed widespread deployment of AI, IoT, robotics, and cloud solutions across sectors such as automotive, electronics, and aerospace. Strong R&D investment along with supportive government initiatives encouraging digital transformation. Manufacturers in North America emphasize operational efficiency, predictive maintenance, and real-time process monitoring, integrating digital solutions into core production activities. This combination of technological maturity, innovation focus, and policy support positions North America as the foremost region driving the adoption of digital and automated factory solutions globally.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, driven by swift industrial expansion, rising adoption of Industry 4.0 technologies, and substantial investment in smart factory solutions. Key economies like China, India, and Japan are increasingly implementing AI, IoT, robotics, and cloud technologies to enhance efficiency and lower production costs. Strong demand across automotive, electronics, and pharmaceutical industries further accelerates growth. Government policies promoting digital transformation, along with the emphasis on flexible and sustainable manufacturing practices, encourage automation adoption. Collectively, these factors make Asia-Pacific the fastest-growing region in the global factory digitalization and automation landscape.

Key players in the market

Some of the key players in Factory Digitalization and Automation Market include ABB, Siemens, Honeywell International, Rockwell Automation, Emerson Electric, Mitsubishi Electric, Schneider Electric, Yokogawa Electric, FANUC, Omron, AVEVA, General Electric (GE), Dassault Systemes, Bosch and SAP.

Key Developments:

In September 2025, ABB and Codelco have announced their latest collaboration to optimise the Chilean state-owned copper mining company's maintenance program. With Chile currently the world's largest copper producer, this latest long-term service agreement (LTSA) encompasses maintenance, remote diagnostics and skills training to enhance the performance of its gearless mill drive (GMD) systems.

In June 2025, Siemens Energy and New Zealand-based EnPot Ltd inked an agreement to cooperate at an official ceremony with New Zealand's Prime Minister Christopher Luxon in Shanghai today. The deal signals the companies' joint drive to accelerate the decarbonisation of China's energy-intensive primary aluminium industry.

In April 2025, Honeywell has signed a new 10-year global distribution agreement with Milestone Systems, a provider of video management systems (VMS). This agreement marks a significant expansion of a partnership that began with Honeywell's LenelS2 brand in 2017, when Honeywell first became a distributor for Milestone in North America, growing into a global distributor role by 2020.

Components Covered:

  • Hardware
  • Software
  • Service

Technologies Covered:

  • Artificial Intelligence (AI)
  • Internet of Things (IoT)
  • Cloud Computing
  • Edge Computing
  • Cybersecurity for Industrial Systems
  • 5G Connectivity
  • Digital Twin
  • Augmented Reality (AR) & Virtual Reality (VR)
  • Advanced Analytics & Big Data

Applications Covered:

  • Automotive
  • Electronics & Semiconductors
  • Pharmaceuticals
  • Food & Beverage
  • Aerospace & Defense
  • Chemicals
  • Energy & Utilities
  • Consumer Goods
  • Metals & Mining
  • Textiles
  • Logistics & Warehousing

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Factory Digitalization and Automation Market, By Component

  • 5.1 Introduction
  • 5.2 Hardware
    • 5.2.1 Industrial Sensors
    • 5.2.2 Controllers
    • 5.2.3 Human-Machine Interface (HMI)
    • 5.2.4 Industrial Robots
    • 5.2.5 Machine Vision Systems
  • 5.3 Software
    • 5.3.1 Manufacturing Execution Systems (MES)
    • 5.3.2 Supervisory Control and Data Acquisition (SCADA)
    • 5.3.3 Plant Asset Management
    • 5.3.4 Digital Twin Platforms
  • 5.4 Service
    • 5.4.1 System Integration
    • 5.4.2 Consulting & Training
    • 5.4.3 Maintenance & Support

6 Global Factory Digitalization and Automation Market, By Technology

  • 6.1 Introduction
  • 6.2 Artificial Intelligence (AI)
  • 6.3 Internet of Things (IoT)
  • 6.4 Cloud Computing
  • 6.5 Edge Computing
  • 6.6 Cybersecurity for Industrial Systems
  • 6.7 5G Connectivity
  • 6.8 Digital Twin
  • 6.9 Augmented Reality (AR) & Virtual Reality (VR)
  • 6.10 Advanced Analytics & Big Data

7 Global Factory Digitalization and Automation Market, By Application

  • 7.1 Introduction
  • 7.2 Automotive
  • 7.3 Electronics & Semiconductors
  • 7.4 Pharmaceuticals
  • 7.5 Food & Beverage
  • 7.6 Aerospace & Defense
  • 7.7 Chemicals
  • 7.8 Energy & Utilities
  • 7.9 Consumer Goods
  • 7.10 Metals & Mining
  • 7.11 Textiles
  • 7.12 Logistics & Warehousing

8 Global Factory Digitalization and Automation Market, By Geography

  • 8.1 Introduction
  • 8.2 North America
    • 8.2.1 US
    • 8.2.2 Canada
    • 8.2.3 Mexico
  • 8.3 Europe
    • 8.3.1 Germany
    • 8.3.2 UK
    • 8.3.3 Italy
    • 8.3.4 France
    • 8.3.5 Spain
    • 8.3.6 Rest of Europe
  • 8.4 Asia Pacific
    • 8.4.1 Japan
    • 8.4.2 China
    • 8.4.3 India
    • 8.4.4 Australia
    • 8.4.5 New Zealand
    • 8.4.6 South Korea
    • 8.4.7 Rest of Asia Pacific
  • 8.5 South America
    • 8.5.1 Argentina
    • 8.5.2 Brazil
    • 8.5.3 Chile
    • 8.5.4 Rest of South America
  • 8.6 Middle East & Africa
    • 8.6.1 Saudi Arabia
    • 8.6.2 UAE
    • 8.6.3 Qatar
    • 8.6.4 South Africa
    • 8.6.5 Rest of Middle East & Africa

9 Key Developments

  • 9.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 9.2 Acquisitions & Mergers
  • 9.3 New Product Launch
  • 9.4 Expansions
  • 9.5 Other Key Strategies

10 Company Profiling

  • 10.1 ABB
  • 10.2 Siemens
  • 10.3 Honeywell International
  • 10.4 Rockwell Automation
  • 10.5 Emerson Electric
  • 10.6 Mitsubishi Electric
  • 10.7 Schneider Electric
  • 10.8 Yokogawa Electric
  • 10.9 FANUC
  • 10.10 Omron
  • 10.11 AVEVA
  • 10.12 General Electric (GE)
  • 10.13 Dassault Systemes
  • 10.14 Bosch
  • 10.15 SAP

List of Tables

  • Table 1 Global Factory Digitalization and Automation Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Factory Digitalization and Automation Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global Factory Digitalization and Automation Market Outlook, By Hardware (2024-2032) ($MN)
  • Table 4 Global Factory Digitalization and Automation Market Outlook, By Industrial Sensors (2024-2032) ($MN)
  • Table 5 Global Factory Digitalization and Automation Market Outlook, By Controllers (2024-2032) ($MN)
  • Table 6 Global Factory Digitalization and Automation Market Outlook, By Human-Machine Interface (HMI) (2024-2032) ($MN)
  • Table 7 Global Factory Digitalization and Automation Market Outlook, By Industrial Robots (2024-2032) ($MN)
  • Table 8 Global Factory Digitalization and Automation Market Outlook, By Machine Vision Systems (2024-2032) ($MN)
  • Table 9 Global Factory Digitalization and Automation Market Outlook, By Software (2024-2032) ($MN)
  • Table 10 Global Factory Digitalization and Automation Market Outlook, By Manufacturing Execution Systems (MES) (2024-2032) ($MN)
  • Table 11 Global Factory Digitalization and Automation Market Outlook, By Supervisory Control and Data Acquisition (SCADA) (2024-2032) ($MN)
  • Table 12 Global Factory Digitalization and Automation Market Outlook, By Plant Asset Management (2024-2032) ($MN)
  • Table 13 Global Factory Digitalization and Automation Market Outlook, By Digital Twin Platforms (2024-2032) ($MN)
  • Table 14 Global Factory Digitalization and Automation Market Outlook, By Service (2024-2032) ($MN)
  • Table 15 Global Factory Digitalization and Automation Market Outlook, By System Integration (2024-2032) ($MN)
  • Table 16 Global Factory Digitalization and Automation Market Outlook, By Consulting & Training (2024-2032) ($MN)
  • Table 17 Global Factory Digitalization and Automation Market Outlook, By Maintenance & Support (2024-2032) ($MN)
  • Table 18 Global Factory Digitalization and Automation Market Outlook, By Technology (2024-2032) ($MN)
  • Table 19 Global Factory Digitalization and Automation Market Outlook, By Artificial Intelligence (AI) (2024-2032) ($MN)
  • Table 20 Global Factory Digitalization and Automation Market Outlook, By Internet of Things (IoT) (2024-2032) ($MN)
  • Table 21 Global Factory Digitalization and Automation Market Outlook, By Cloud Computing (2024-2032) ($MN)
  • Table 22 Global Factory Digitalization and Automation Market Outlook, By Edge Computing (2024-2032) ($MN)
  • Table 23 Global Factory Digitalization and Automation Market Outlook, By Cybersecurity for Industrial Systems (2024-2032) ($MN)
  • Table 24 Global Factory Digitalization and Automation Market Outlook, By 5G Connectivity (2024-2032) ($MN)
  • Table 25 Global Factory Digitalization and Automation Market Outlook, By Digital Twin (2024-2032) ($MN)
  • Table 26 Global Factory Digitalization and Automation Market Outlook, By Augmented Reality (AR) & Virtual Reality (VR) (2024-2032) ($MN)
  • Table 27 Global Factory Digitalization and Automation Market Outlook, By Advanced Analytics & Big Data (2024-2032) ($MN)
  • Table 28 Global Factory Digitalization and Automation Market Outlook, By Application (2024-2032) ($MN)
  • Table 29 Global Factory Digitalization and Automation Market Outlook, By Automotive (2024-2032) ($MN)
  • Table 30 Global Factory Digitalization and Automation Market Outlook, By Electronics & Semiconductors (2024-2032) ($MN)
  • Table 31 Global Factory Digitalization and Automation Market Outlook, By Pharmaceuticals (2024-2032) ($MN)
  • Table 32 Global Factory Digitalization and Automation Market Outlook, By Food & Beverage (2024-2032) ($MN)
  • Table 33 Global Factory Digitalization and Automation Market Outlook, By Aerospace & Defense (2024-2032) ($MN)
  • Table 34 Global Factory Digitalization and Automation Market Outlook, By Chemicals (2024-2032) ($MN)
  • Table 35 Global Factory Digitalization and Automation Market Outlook, By Energy & Utilities (2024-2032) ($MN)
  • Table 36 Global Factory Digitalization and Automation Market Outlook, By Consumer Goods (2024-2032) ($MN)
  • Table 37 Global Factory Digitalization and Automation Market Outlook, By Metals & Mining (2024-2032) ($MN)
  • Table 38 Global Factory Digitalization and Automation Market Outlook, By Textiles (2024-2032) ($MN)
  • Table 39 Global Factory Digitalization and Automation Market Outlook, By Logistics & Warehousing (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.