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市場調查報告書
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2100506

亞太地區智慧製造：市場佔有率分析、產業趨勢與統計及成長預測（2026-2031年）

Asia Pacific Smart Manufacturing - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2026 - 2031)
出版日期: | 出版商: Mordor Intelligence | 英文 121 Pages | 商品交期: 2-3個工作天內

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簡介目錄

據 Mordor Intelligence 稱，亞太地區智慧製造市場在 2025 年的價值為 584.7 億美元，預計到 2031 年將達到 925.6 億美元，而 2026 年為 631.2 億美元，預測期（2026-2031 年）的複合年成長率為 7.7.96%。

亞太地區智慧製造市場-IMG1

本報告按底層技術（工業控制系統、工業機器人等）、組件（硬體、軟體等）、部署模式（本地部署、雲端部署等）、終端用戶產業（汽車、半導體和電子等）、公司規模（中小企業等）以及地區進行細分。市場預測以美元計價。

亞太地區智慧製造市場趨勢及洞察。

政府主導的數位轉型支援措施

馬來西亞的「工業4WRD基金」、新加坡的「數位轉型支持試驗計畫」、日本的「亞洲數位轉型舉措」以及印度的「SAMARTH Udyog Bharat 4.0」計畫正共同提供資助，用於設備購置、培訓以及跨境研發合作，以加速津貼津貼299家中小企業提供了1.092億馬幣，降低了其進入自動化領域的門檻。新加坡為每家中小企業提供5萬港幣的資助，用於支持可在九個月內實施的已通過核准的解決方案。日本經濟產業省（METI）正在支援日本系統整合商與東南亞製造商之間的聯合項目，以共同開發應用案例。印度的一個示範中心已培訓了9800人，並檢驗了適用於資源限制工廠的即插即用套件。這些政策共同推動亞太地區的智慧製造市場實現持續兩位數成長，其方式包括降低投資風險、縮短學習曲線和加速規模化速度。

人事費用上升和熟練工人短缺

2015年至2024年間，中國製造業平均薪資加倍以上，削弱了傳統的成本優勢，迫使企業轉向自動化生產線。在日本，過去20年間精密加工產業約有10萬名工人流失，加速了人工智慧驅動的CAM軟體的開發，該軟體可將程式時間從數小時縮短至數分鐘。在新加坡，勞動力短缺問題日益嚴峻，迫使該國2,700家精密工程公司採用協作機器人與人工操作員結合的方式，以維持運轉率。思科網路學院已培訓了2000萬名學員，有助於彌合阻礙自動化計畫的數位技能差距。因此，人事費用上升和人口壓力正在加速亞太地區整個智慧製造市場資本投資從人員轉向智慧設備的趨勢。

初始資本投入高，且投資報酬率不確定性

將工廠全面轉型為智慧工廠通常需要每個中型工廠投入200萬至500萬美元，這對家庭式工作坊和合約組裝來說是一大障礙。根據Telstra的一項調查，67%的受訪者表示，成本問題阻礙了他們的物聯網專案。由於智慧製造的益處涵蓋能源、品質和物流等多個方面，因此很難用單一指標來評估投資報酬率。Honeywell的數據顯示，45%的高階主管正在推遲實施預測性維護，因為財務模型無法單獨計算減少停機時間的收益。政府津貼僅佔總預算的一小部分，而且許多項目都有嚴格的合格標準，迫使中小企業自行融資，可能需要3到5年才能收回投資。在資金籌措模式成熟之前，這些限制可能會減緩亞太地區智慧製造市場的短期成長。

細分市場分析

到2025年，工業控制系統將佔據亞太地區智慧製造市場40.62%的佔有率，凸顯其作為數千個離散型和流程型工廠即時核心的重要角色。 PLC和SCADA系統仍然是採購的主流，即使在嚴苛的現場環境中也能確保確定性運作。然而，製造商正擴大將雲端儀錶板整合到這些控制系統中，從而將OEE（整體設備效率）、能源和品質KPI統一起來。因此，混合架構在亞太智慧製造市場中日益普及，其中邊緣閘道器將加密資料傳輸到AI引擎，以便在警報觸發之前很久就能檢測到異常情況。

隨著企業從孤立的歷史資料記錄器轉向預測性維護模型（可將意外停機時間減少高達 20%），雲端、分析和平台正以 9.76% 的複合年成長率成長。機器視覺系統曾經僅限於單一攝影機偵測，如今已整合深度學習庫，能夠偵測半導體中的亞微米級缺陷。工業機器人的應用範圍正從汽車噴漆生產線擴展到醫療設備等高混合、小批量生產領域。從時間敏感網路到 Wi-Fi 6E 等各種連接協定堆疊為這些智慧層提供了支撐。供應商將控制、分析和網路安全打包到訂閱計畫中，正在擴大亞太地區智慧製造市場的目標預算規模。

預計到2025年，硬體將佔亞太地區智慧製造市場規模的53.78%，這反映了市場對機器人、感測器和控制器等自動化重複性任務設備的需求。然而，服務業正以10.91%的複合年成長率快速擴張，因為現有工廠（棕地）越來越傾向於承包升級方案而非內部實施。系統整合商目前正將諮詢、試運行和保全行動營運管理打包到多年合約中，從而將支出從資本支出（CAPEX）轉向營運支出（OPEX）。

軟體的重要性日益凸顯。這是因為演算法差異化，例如協作機器人的自適應路徑規劃，能夠帶來僅靠硬體調整無法實現的生產力提升。從邊緣到雲端的服務合約使中小企業能夠在無需擁有整個技術堆疊的情況下試用各項功能，從而加速亞太地區智慧製造市場的普及應用。隨著軟體和服務之間的界限日漸模糊，供應商需要製定持續改進藍圖，而不僅僅是簡單的版本升級，才能保持較高的更新頻率。

其他好處：

  • Excel格式的市場預測（ME）表
  • 3個月的分析師支持

目錄

第1章：引言

  • 研究假設和市場定義
  • 調查範圍

第2章：調查方法

第3章執行摘要

第4章 市場狀況

  • 市場概覽
  • 市場促進因素
    • 政府主導的促進數位轉型的措施
    • 人事費用上升和熟練工人短缺
    • 後疫情時代製造業回流與供應鏈韌性
    • 在工廠快速部署 5G 專用網路
    • 半導體產能的競爭正在推動自動化。
    • 為實現碳中和，企業正在推動節能營運。
  • 市場限制因素
    • 高額的初始資本支出（CAPEX）和投資報酬率的不確定性
    • 供應商生態系統片段化與整合的複雜性
    • OT與IT融合中的網路安全漏洞
    • 傳統設備之間的互通性差距
  • 產業價值鏈分析
  • 監理情勢
  • 技術展望
  • 宏觀經濟因素的影響
  • 波特五力分析

第5章 市場規模與成長預測

  • 透過基礎技術
    • 工業控制系統
      • 可程式邏輯控制器（PLC）
      • 監控與數據採集（SCADA）
      • 分散式控制系統（DCS）
      • 人機介面（HMI）
      • 製造執行系統（MES）
      • 產品生命週期管理（PLM）
    • 工業機器人
    • 機器視覺系統
    • 雲端、分析、平台
    • 網路安全
    • 感測器和發送器
    • 連接與通訊
    • 其他現場、控制和安全解決方案
  • 按組件
    • 硬體
    • 軟體
    • 服務
  • 部署模式
    • 現場
    • 雲
    • 混合
    • 邊緣到雲
  • 按最終用戶行業分類
    • 車
    • 半導體和電子學
    • 石油和天然氣
    • 化工/石油化工
    • 製藥和生物技術
    • 航太/國防
    • 食品/飲料
    • 金屬和採礦
    • 物流和倉儲
    • 其他終端用戶產業
  • 按公司規模
    • 小規模企業
    • 中型公司
    • 大公司
  • 國家
    • 中國
    • 印度
    • 日本
    • 韓國
    • 台灣
    • 新加坡
    • 泰國
    • 越南
    • 澳洲
    • 其他亞太國家

第6章 競爭情勢

  • 市場集中度
  • 策略趨勢
  • 市佔率分析
  • 公司簡介
    • ABB Ltd.
    • Honeywell International Inc.
    • Fanuc Corporation
    • Mitsubishi Electric Corporation
    • Emerson Electric Company
    • Rockwell Automation Inc.
    • Schneider Electric SE
    • Robert Bosch GmbH
    • Siemens AG
    • Yokogawa Electric Corporation
    • Cisco Systems Inc.
    • Keyence Corporation
    • Delta Electronics Inc.
    • Omron Corporation
    • Panasonic Corporation
    • Advantech Co., Ltd.
    • Fuji Electric Co., Ltd.
    • Beckhoff Automation GmbH and Co. KG
    • Huawei Technologies Co., Ltd.
    • Hitachi, Ltd.

第7章 市場機會與未來展望

簡介目錄
Product Code: 48640

According to Mordor Intelligence, the Asia-Pacific smart manufacturing market size was valued at USD 58.47 billion in 2025 and estimated to grow from USD 63.12 billion in 2026 to reach USD 92.56 billion by 2031, at a CAGR of 7.96% during the forecast period (2026-2031).

Asia Pacific Smart Manufacturing - Market - IMG1

This report is Segmented by Enabling Technology (Industrial Control Systems, Industrial Robotics, and More), Component (Hardware, Software, and More), Deployment Mode (On-Premise, Cloud, and More), End-User Industry (Automotive, Semiconductor and Electronics, and More), Enterprise Size (Small Enterprises, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Asia Pacific Smart Manufacturing Market Trends and Insights

Government-backed digital transformation incentives

Malaysia's Industry4WRD fund, Singapore's Digital Transformation Support Pilot Programme, Japan's Asia Digital Transformation initiative, and India's SAMARTH Udyog Bharat 4.0 collectively subsidize equipment, training, and cross-border R&D collaborations to accelerate Asia Pacific Digital Transformation initiatives. Matching grants in Malaysia have already disbursed RM 109.2 million to 299 SMEs, lowering automation entry barriers. Singapore offers HKD 50,000 per SME for pre-approved solutions that can be installed within nine months. METI sponsors joint projects that link Japanese system integrators with Southeast Asian manufacturers to co-develop use cases. India's demonstration centers have trained 9,800 individuals and validated plug-and-play kits suitable for resource-constrained factories. Collectively, these policies de-risk investments, compress learning curves, and shorten time to scale, driving the Asia-Pacific smart manufacturing market toward sustained double-digit expansion.

Labor cost inflation and skill shortages

Average Chinese manufacturing wages more than doubled between 2015 and 2024, eroding the historical cost advantage and pushing firms toward lights-out production lines. Japan's precision-machining workforce shrank by roughly 100,000 over two decades, spurring AI-enabled CAM software that slashes programming time from hours to minutes. Singapore's tight labour pool forces its 2,700 precision-engineering firms to blend collaborative robots with human operators to keep uptime high. Cisco Networking Academy has already trained 20 million learners, helping bridge digital-skills gaps that slow automation projects. Rising personnel costs, coupled with demographic pressures, are therefore accelerating capex reallocation from headcount to smart equipment across the Asia-Pacific smart manufacturing market.

High upfront CAPEX and ROI uncertainty

Full-scale smart factory conversions often require USD 2-5 million per mid-sized site, deterring family-owned workshops and contract assemblers. Telstra surveys found 67% of respondents delay IoT projects due to cost concerns. Benefits accrue across energy, quality, and logistics, making single-metric ROI approvals challenging. Honeywell data show 45% of executives postpone predictive-maintenance rollouts because financial models cannot isolate the contribution of downtime reduction. Government grants offset only a fraction of total budgets, and many programs apply strict eligibility filters, leaving smaller firms to self-fund investments that may take three to five years to break even. Until financing models mature, this restraint will shave near-term growth off the Asia-Pacific smart manufacturing market.

Other drivers and restraints analyzed in the detailed report include:

  1. Post-COVID reshoring and supply-chain resilience
  2. Rapid 5G private-network rollouts in factories
  3. Cybersecurity vulnerabilities in OT-IT convergence

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

Segment Analysis

Industrial control systems generated 40.62 % of the Asia-Pacific smart manufacturing market share in 2025, underscoring their role as the real-time backbone for thousands of discrete and process plants. PLCs and SCADA remain procurement mainstays because they guarantee deterministic operation under harsh shop-floor conditions. Manufacturers, however, increasingly overlay these controls with cloud dashboards that unify OEE, energy, and quality KPIs. The Asia-Pacific smart manufacturing market is consequently witnessing hybrid architectures where edge gateways stream encrypted data to AI engines that detect anomalies well before alarms fire.

Cloud, analytics and platforms are growing at a 9.76 % CAGR as firms migrate from isolated historians to predictive-maintenance models that cut unplanned downtime by up to 20 %. Machine-vision systems, once limited to single-camera checks, now integrate deep-learning libraries that flag sub-micron defects in semiconductors. Industrial robotics adoption is moving beyond automotive paint lines into low-volume high-mix sectors such as medical devices. Connectivity stacks ranging from Time-Sensitive Networking to Wi-Fi 6E sustain these intelligence layers. Vendors that package controls, analytics, and cybersecurity into subscription tiers are broadening addressable budgets within the Asia-Pacific smart manufacturing market.

Hardware accounted for 53.78 % of the Asia-Pacific smart manufacturing market size in 2025, reflecting demand for robots, sensors, and controllers that automate repetitive tasks. Nevertheless, services are scaling faster at 10.91 % CAGR as brownfield plants seek turnkey upgrades rather than do-it-yourself rollouts. System integrators now bundle consulting, commissioning, and managed-security operations in multiyear contracts that shift spending from capex to opex.

Software stakes continue rising because algorithmic differentiation such as adaptive path planning for collaborative robots delivers productivity boosts impossible with hardware tweaks alone. Edge-to-cloud service engagements let SMEs pilot features without owning entire stacks, accelerating democratization across the Asia-Pacific smart manufacturing market. The blurring line between software and services means vendors must maintain continuous improvement roadmaps, not just versioned releases, to keep renewal rates high.

Complete Report Scope:

  • By Enabling Technology
    • Industrial Control Systems
      • Programmable Logic Controller (PLC)
      • Supervisory Control and Data Acquisition (SCADA)
      • Distributed Control System (DCS)
      • Human Machine Interface (HMI)
      • Manufacturing Execution System (MES)
      • Product Lifecycle Management (PLM)
    • Industrial Robotics
    • Machine Vision Systems
    • Cloud, Analytics and Platforms
    • Cybersecurity
    • Sensors and Transmitters
    • Connectivity and Communication
    • Other Field, Control and Safety Solutions
  • By Component
    • Hardware
    • Software
    • Services
  • By Deployment Mode
    • On-premise
    • Cloud
    • Hybrid
    • Edge-to-Cloud
  • By End-user Industry
    • Automotive
    • Semiconductor and Electronics
    • Oil and Gas
    • Chemical and Petrochemical
    • Pharmaceutical and Biotechnology
    • Aerospace and Defense
    • Food and Beverages
    • Metals and Mining
    • Logistics and Warehousing
    • Other End-User Industries
  • By Enterprise Size
    • Small Enterprises
    • Medium Enterprises
    • Large Enterprises
  • By Country
    • China
    • India
    • Japan
    • South Korea
    • Taiwan
    • Singapore
    • Thailand
    • Vietnam
    • Australia
    • Rest of Asia-Pacific

List of Companies Covered in this Report:

  1. ABB Ltd.
  2. Honeywell International Inc.
  3. Fanuc Corporation
  4. Mitsubishi Electric Corporation
  5. Emerson Electric Company
  6. Rockwell Automation Inc.
  7. Schneider Electric SE
  8. Robert Bosch GmbH
  9. Siemens AG
  10. Yokogawa Electric Corporation
  11. Cisco Systems Inc.
  12. Keyence Corporation
  13. Delta Electronics Inc.
  14. Omron Corporation
  15. Panasonic Corporation
  16. Advantech Co., Ltd.
  17. Fuji Electric Co., Ltd.
  18. Beckhoff Automation GmbH and Co. KG
  19. Huawei Technologies Co., Ltd.
  20. Hitachi, Ltd.

Additional Benefits:

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

TABLE OF CONTENTS

1 INTRODUCTION

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

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Government-backed digital transformation incentives
    • 4.2.2 Labor cost inflation and skill shortages
    • 4.2.3 Post-COVID reshoring and supply-chain resilience
    • 4.2.4 Rapid 5G private-network rollouts in factories
    • 4.2.5 Semiconductor capacity race driving automation
    • 4.2.6 Carbon-neutrality mandates pushing energy-efficient operations
  • 4.3 Market Restraints
    • 4.3.1 High upfront CAPEX and ROI uncertainty
    • 4.3.2 Fragmented vendor ecosystem and integration complexity
    • 4.3.3 Cybersecurity vulnerabilities in OT-IT convergence
    • 4.3.4 Legacy equipment interoperability gaps
  • 4.4 Industry Value-Chain Analysis
  • 4.5 Regulatory Landscape
  • 4.6 Technological Outlook
  • 4.7 Impact of Macroeconomic Factors
  • 4.8 Porter's Five Forces Analysis
    • 4.8.1 Threat of New Entrants
    • 4.8.2 Bargaining Power of Suppliers
    • 4.8.3 Bargaining Power of Consumers
    • 4.8.4 Threat of Substitute Products
    • 4.8.5 Intensity of Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

  • 5.1 By Enabling Technology
    • 5.1.1 Industrial Control Systems
      • 5.1.1.1 Programmable Logic Controller (PLC)
      • 5.1.1.2 Supervisory Control and Data Acquisition (SCADA)
      • 5.1.1.3 Distributed Control System (DCS)
      • 5.1.1.4 Human Machine Interface (HMI)
      • 5.1.1.5 Manufacturing Execution System (MES)
      • 5.1.1.6 Product Lifecycle Management (PLM)
    • 5.1.2 Industrial Robotics
    • 5.1.3 Machine Vision Systems
    • 5.1.4 Cloud, Analytics and Platforms
    • 5.1.5 Cybersecurity
    • 5.1.6 Sensors and Transmitters
    • 5.1.7 Connectivity and Communication
    • 5.1.8 Other Field, Control and Safety Solutions
  • 5.2 By Component
    • 5.2.1 Hardware
    • 5.2.2 Software
    • 5.2.3 Services
  • 5.3 By Deployment Mode
    • 5.3.1 On-premise
    • 5.3.2 Cloud
    • 5.3.3 Hybrid
    • 5.3.4 Edge-to-Cloud
  • 5.4 By End-user Industry
    • 5.4.1 Automotive
    • 5.4.2 Semiconductor and Electronics
    • 5.4.3 Oil and Gas
    • 5.4.4 Chemical and Petrochemical
    • 5.4.5 Pharmaceutical and Biotechnology
    • 5.4.6 Aerospace and Defense
    • 5.4.7 Food and Beverages
    • 5.4.8 Metals and Mining
    • 5.4.9 Logistics and Warehousing
    • 5.4.10 Other End-User Industries
  • 5.5 By Enterprise Size
    • 5.5.1 Small Enterprises
    • 5.5.2 Medium Enterprises
    • 5.5.3 Large Enterprises
  • 5.6 By Country
    • 5.6.1 China
    • 5.6.2 India
    • 5.6.3 Japan
    • 5.6.4 South Korea
    • 5.6.5 Taiwan
    • 5.6.6 Singapore
    • 5.6.7 Thailand
    • 5.6.8 Vietnam
    • 5.6.9 Australia
    • 5.6.10 Rest of Asia-Pacific

6 COMPETITIVE LANDSCAPE

  • 6.1 Market Concentration
  • 6.2 Strategic Moves
  • 6.3 Market Share Analysis
  • 6.4 Company Profiles (includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share for key companies, Products and Services, and Recent Developments)
    • 6.4.1 ABB Ltd.
    • 6.4.2 Honeywell International Inc.
    • 6.4.3 Fanuc Corporation
    • 6.4.4 Mitsubishi Electric Corporation
    • 6.4.5 Emerson Electric Company
    • 6.4.6 Rockwell Automation Inc.
    • 6.4.7 Schneider Electric SE
    • 6.4.8 Robert Bosch GmbH
    • 6.4.9 Siemens AG
    • 6.4.10 Yokogawa Electric Corporation
    • 6.4.11 Cisco Systems Inc.
    • 6.4.12 Keyence Corporation
    • 6.4.13 Delta Electronics Inc.
    • 6.4.14 Omron Corporation
    • 6.4.15 Panasonic Corporation
    • 6.4.16 Advantech Co., Ltd.
    • 6.4.17 Fuji Electric Co., Ltd.
    • 6.4.18 Beckhoff Automation GmbH and Co. KG
    • 6.4.19 Huawei Technologies Co., Ltd.
    • 6.4.20 Hitachi, Ltd.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

  • 7.1 White-space and Unmet-need Assessment