Asia Pacific Smart Manufacturing Market Size and Share

Asia Pacific Smart Manufacturing Market (2025 - 2030)
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Asia Pacific Smart Manufacturing Market Analysis by Mordor Intelligence

The Asia-Pacific smart manufacturing market size stands at USD 58.47 billion in 2025 and is forecast to reach USD 87.03 billion by 2030, reflecting an 8.28% CAGR. Adoption is accelerating as government subsidies compress payback periods, labour shortages drive automation-first budgets, and semiconductor build-outs demand tightly controlled processes. Private-5G pilots deliver sub-10 millisecond latency for mobile robots and augmented-reality inspection, expanding use cases that were once connectivity constrained.[1]Huawei Technologies, “Huawei Unveils Upgraded Intelligent Factory Solution,” Huawei, huawei.com Hardware still captures the largest revenue slice, yet service-based contracts that bundle integration, cybersecurity, and analytics are growing faster as factories favour outcome guarantees over capex purchases. The Asia-Pacific smart manufacturing market is also shaped by supply-chain diversification; multinationals are spreading production across India, Vietnam, and Malaysia to limit single-country exposure, which in turn lifts regional demand for flexible, cloud-connected equipment. Rising cyber-risk on converged OT-IT networks further pushes spending toward zero-trust architectures and managed detection services.[2]Government of Japan, “AI in Manufacturing: New Japanese Software Takes on Skilled Work,” Japan Gov, japan.go.jp

Key Report Takeaways

  • By geography, China led with 48.93% share in 2024, while India is projected to advance at a 12.07% CAGR through 2030.  
  • By enabling technology, industrial control systems accounted for 41.09% of the Asia-Pacific smart manufacturing market share in 2024, while cloud, analytics and platforms are expected to grow at a 10.04% CAGR to 2030.  
  • By component, hardware captured 54.35% share of the Asia-Pacific smart manufacturing market size in 2024, whereas services are set to increase at an 11.29% CAGR through 2030.  
  • By deployment mode, on-premises solutions held 63.21% revenue share in 2024, and cloud deployments are forecast to post a 9.88% CAGR to 2030.  
  • By end-user industry, automotive contributed 27.58% share in 2024 and semiconductor and electronics are on track for a 10.49% CAGR through 2030.  
  • By enterprise size, large enterprises commanded 61.88% share in 2024, while SMEs are poised to progress at an 11.67% CAGR by 2030.  

Segment Analysis

By Enabling Technology: Control systems anchor digital evolution

Industrial control systems generated 41.09 % of the Asia-Pacific smart manufacturing market share in 2024, 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 10.04 % 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.

Asia Pacific Smart Manufacturing Market: Market Share by Enabling Technology
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By Component: Services capture accelerating wallet-share

Hardware accounted for 54.35 % of the Asia-Pacific smart manufacturing market size in 2024, reflecting demand for robots, sensors, and controllers that automate repetitive tasks.[3]Huawei Technologies, “Huawei Unveils Upgraded Intelligent Factory Solution,” Huawei, huawei.com Nevertheless, services are scaling faster at 11.29 % 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.

By Deployment Mode: Cloud adoption gains but hybrid prevails

On-premises installations still held 63.21 % of revenue in 2024, driven by data-sovereignty mandates in pharmaceuticals and defense as well as latency demands for motion control.[4]Fujitsu Limited, “Designing the Future of Intelligent Manufacturing with Generative AI,” fujitsu.com Plants that must meet GxP or ITAR rules prefer air-gapped networks. Even so, the Asia-Pacific smart manufacturing market is adding cloud nodes at a 9.88 % CAGR as predictive-maintenance algorithms and multi-facility dashboards require elastic compute.  

Hybrid and edge-to-cloud architectures solve the latency-compliance dilemma. Edge servers execute millisecond-grade controls, while non-critical data sync to public clouds for AI model training. Semiconductor fabs in Taiwan already run virtual twins in cloud sandboxes to test process tweaks before deploying recipes to physical tools. As sovereign-cloud offerings proliferate, more sectors will offload analytics, trimming on-premises footprints across the Asia-Pacific smart manufacturing market.

By End-user Industry: Auto scale meets chip precision

Automotive plants commanded 27.58 % of 2024 revenue, benefiting from long-established robot density and the EV shift that requires reconfigurable body-in-white lines. Car makers leverage vision-guided torque tools and digital threads to manage mixed-model sequencing without downtime.  

Semiconductor and electronics, growing at 10.49 % CAGR, are the fastest risers; fabs demand sub-micron accuracy, making AI-based run-to-run control indispensable. Pharmaceutical outfits invest in continuous manufacturing skids to strengthen traceability, while food processors adopt IoT sensors for hazard analysis. Aerospace primes use additive manufacturing cells tied to PLM systems that trace every powder batch. This diversity demonstrates how the Asia-Pacific smart manufacturing market flexes to sector-specific regulatory and throughput imperatives.

Asia Pacific Smart Manufacturing Market: Market Share by End-User Industry
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By Enterprise Size: SME momentum reshapes vendor playbooks

Large enterprises still generated 61.88 % of 2024 spending, reflecting deep pockets and multi-site rollouts. Yet SMEs are advancing at an 11.67 % CAGR thanks to starter kits that bundle sensors, cloud dashboards, and pay-per-use financing. Standardized templates allow a two-week proof of concept that demonstrates yield gains without disrupting production.  

Medium-size firms often serve as supply-chain Tier 1s and thus face top-down digital mandates from OEMs. They choose modular MES subscriptions that scale as lines are added. The Asia-Pacific smart manufacturing market is therefore widening its customer base, compelling providers to price in local currencies, offer remote onboarding, and embed multilingual support.

Geography Analysis

China’s 48.93 % revenue share in 2024 is the product of state policy, dense supplier ecosystems, and aggressive 5G factory pilots that reduce integration costs. Provincial subsidies reimburse up to 50 % of qualifying automation purchases, encouraging SMEs to leapfrog incremental upgrades. Major OEMs such as Midea operate lighthouse plants where robotic arms outnumber workers, proving scalability for copy-exact replication. Yet trade tensions and rising wages are nudging some multinationals to diversify footprints, tempering China’s future share gains within the Asia-Pacific smart manufacturing market.  

India, advancing at 12.07 % CAGR, benefits from the SAMARTH Udyog Bharat 4.0 test beds and an English-speaking software workforce that simplifies IT-OT integration. Automotive OEMs expanding EV output in Tamil Nadu and Maharashtra embed digital twins from day one, avoiding legacy retrofits. Pharmaceutical clusters in Hyderabad embrace continuous manufacturing to meet export quality norms, widening market scope. Critical enablers include power-quality upgrades and the rollout of dedicated industrial corridors that integrate logistics nodes with data centers.  

Japan, South Korea, and Singapore represent mature but innovation-intensive pockets. Japan couples’ decades-old robot density with AI scheduling that offsets skilled-labour gaps. South Korea’s chip giants deploy edge-AI to boost lithography yield, while Singapore leverages Jurong Innovation District as a sandbox for 5G-enabled cobots and predictive maintenance solutions. Elsewhere, Vietnam and Thailand capture investment spills from China-plus-one strategies, focusing on electronics assembly lines that preinstall cloud connectors. Australia applies smart-manufacturing know-how to mining equipment rebuilds, underscoring the breadth of the Asia-Pacific smart manufacturing market.

Competitive Landscape

The Asia-Pacific smart manufacturing market exhibits moderate fragmentation: traditional automation majors dominate controls and drives, but cloud analytics, AI vision, and cybersecurity niches invite aggressive entrants. ABB, Siemens, and Schneider Electric leverage installed bases to upsell subscription analytics that turn hardware footprints into data platforms. Fanuc, Yaskawa, and Omron push low-payload cobots suited to SME budgets, expanding addressable revenue beyond automotive body shops.  

Regional specialists such as Keyence and Advantech capitalize on proximity and rapid engineering cycles to tailor sensors and gateways for local compliance standards. Chinese players including Huawei and Inovance target the control-to-cloud stack, often bundling private-5G and edge servers at discounts. Strategic alliances are multiplying; Omron’s partnership with Cognizant melds 200,000 hardware SKUs with IT integration skills to deliver end-to-end digital migrations.  

Cybersecurity capability is emerging as a key differentiator as boards demand proof-of-resilience. Vendors embed IEC 62443 compliance into proposals and tap MSSPs for 24/7 monitoring. Consolidation is likely among mid-tier MES providers seeking scale to compete on global support. Overall, leaders that can prove ROI via reference sites, offer consumption-based pricing, and maintain local service crews will outpace hardware-only rivals within the Asia-Pacific smart manufacturing market.

Asia Pacific Smart Manufacturing Industry Leaders

  1. ABB Ltd

  2. Honeywell International Inc.

  3. Siemens AG

  4. Schneider Electric SE

  5. Robert Bosch GmbH

  6. *Disclaimer: Major Players sorted in no particular order
Asia Pacific Smart Manufacturing Market
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Recent Industry Developments

  • April 2025: Omron and Cognizant announced a strategic partnership to integrate IT and OT for factory digital transformation.
  • January 2025: Huawei unveiled an upgraded Intelligent Factory Solution featuring integrated production networks and AI-driven platforms.
  • December 2024: Schaeffler AG agreed to acquire Dhruva Automation to bolster Asia-Pacific engineering services.
  • August 2024: Cisco and Rockwell Automation signed an MoU to accelerate digital transformation across Asia Pacific, Japan, and Greater China.

Table of Contents for Asia Pacific Smart Manufacturing Industry Report

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
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Asia Pacific Smart Manufacturing Market Report Scope

Smart manufacturing utilizes big data analytics, robotics, machine vision systems, sensors, and transmitters to refine complicated processes and manage supply chains. These solutions allow an enterprise to use smart manufacturing to shift from reactionary practices to predictive ones. This change targets improved efficiency of the process and performance of the product.

The Asia Pacific Smart Manufacturing Market is segmented By Enabling Technologies (Industrial Control Systems, Industrial Robotics, Machine Vision Systems, Cloud, Analytics and Platforms, Cybersecurity, Sensors & Transmitters, Connectivity/Communication, and Other Field, Control and Safety Solutions), By End-user Industry (Automotive, Semiconductor, Oil and Gas, Chemical and Petrochemical, Pharmaceutical, Aerospace and Defense, Food and Beverages) and By Country. The market sizes and forecasts are provided in terms of value (USD million) for all the above segments.

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
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
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Key Questions Answered in the Report

What are the current and projected values of the Asia-Pacific smart manufacturing market?

The market stands at USD 58.47 billion in 2025 and is projected to reach USD 87.03 billion by 2030, growing at an 8.28% CAGR.

Which country contributes the highest revenue?

China accounts for 48.93% of 2024 revenue due to its large industrial base and policy incentives.

Which technology segment is expanding the fastest?

Cloud, analytics and platforms are forecast to grow at a 10.04% CAGR through 2030 as manufacturers shift to data-driven operations.

What is the main barrier slowing adoption among SMEs?

High upfront capital expenditure and uncertain ROI remain the foremost obstacles, especially for smaller firms.

How quickly are private-5G factory networks being adopted?

Rollouts are accelerating, with latency improvements enabling AGVs and AR inspection, and the driver is estimated to add +0.9% to overall CAGR.

Which end-user vertical shows the fastest growth?

Semiconductor and electronics manufacturing is projected to expand at a 10.49% CAGR through 2030 thanks to capacity expansions across the region.

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