Industrial Iot Automation Market
Industrial IoT Automation Market Forecasts to 2032 – Global Analysis By Component (Hardware, Software, and Services), Deployment Model, Connectivity Type, Application, End User and By Geography
According to Stratistics MRC, the Global Industrial IoT Automation Market is accounted for $134.64 billion in 2025 and is expected to reach $301.38 billion by 2032 growing at a CAGR of 12.2% during the forecast period. Industrial IoT Automation involves linking industrial assets such as machines, devices, and control systems through networked sensors and intelligent software to automate and enhance industrial processes. It leverages IoT connectivity, advanced analytics, and cloud or edge technologies to continuously collect and analyze operational data. This approach enables faster responses, smarter control, and data-driven optimization of production and infrastructure. As a result, organizations achieve higher efficiency, reduced downtime, improved product quality, proactive maintenance, and safer operations across diverse industrial applications.
Market Dynamics:
Driver:
Demand for operational efficiency
Manufacturers are increasingly deploying connected sensors, smart controllers, and real-time analytics to minimize downtime and optimize asset utilization. IIoT platforms enable continuous monitoring of production processes, helping organizations identify inefficiencies and reduce waste. As competition intensifies, industries are under pressure to lower operating costs while maintaining high productivity levels. Automation supported by IIoT enhances decision-making through data-driven insights and performance visibility. The integration of edge computing and AI further accelerates response times and process optimization. These benefits are driving widespread adoption of IIoT solutions across discrete and process industries.
Restraint:
Lack of standardization
Industrial environments often rely on heterogeneous systems using proprietary protocols and legacy communication frameworks. This fragmentation complicates interoperability between devices, platforms, and applications from different vendors. Enterprises face increased integration costs and longer deployment timelines due to incompatible architectures. The lack of standardized cybersecurity and data exchange frameworks further elevates operational risk. Smaller manufacturers, in particular, struggle to align diverse systems without specialized technical expertise. Until global standards mature, scalability and seamless connectivity will remain challenging for IIoT adoption.
Opportunity:
Predictive maintenance as a service
By leveraging sensor data, machine learning, and cloud analytics, service providers can forecast equipment failures before they occur. This approach helps industries reduce unplanned downtime and extend asset life cycles. Subscription-based maintenance models lower upfront investment barriers for manufacturers. Predictive maintenance services also enable continuous performance benchmarking across multiple facilities. As industrial assets become more connected, data-driven maintenance strategies are gaining traction. This shift is opening new revenue streams for IIoT solution providers and system integrators.
Threat:
Data privacy & sovereignity
IIoT systems generate vast volumes of operational data that are often transmitted to cloud platforms for analysis. Regulatory frameworks governing data storage and cross-border data transfer vary significantly by region. Enterprises fear unauthorized access, cyberattacks, and misuse of sensitive production data. Compliance with data localization laws increases deployment complexity and costs. Industries operating across multiple geographies face challenges in managing secure data flows. These concerns can slow cloud-based IIoT adoption and limit market expansion.
Covid-19 Impact:
The COVID-19 pandemic significantly influenced the adoption trajectory of Industrial IoT automation solutions. Lockdowns and workforce restrictions disrupted traditional manufacturing operations worldwide. As a result, industries accelerated investments in remote monitoring and automated process control systems. Supply chain disruptions highlighted the importance of real-time visibility and predictive analytics. IIoT-enabled automation helped manufacturers maintain continuity with minimal human intervention. The pandemic also reinforced the value of digital twins and virtual commissioning tools. Post-pandemic strategies increasingly prioritize resilient, connected, and automated industrial ecosystems.
The hardware segment is expected to be the largest during the forecast period
The hardware segment is expected to account for the largest market share during the forecast period, driven by extensive deployment of sensors, actuators, industrial gateways, and controllers across manufacturing facilities. Hardware components form the foundational layer of IIoT architectures by enabling data acquisition and machine connectivity. Growing investments in smart factories are accelerating demand for advanced industrial devices. Ruggedized hardware capable of operating in harsh environments is witnessing strong uptake. Continuous innovation in sensor accuracy and edge processing capabilities is enhancing performance.
The healthcare & life sciences segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the healthcare & life sciences segment is predicted to witness the highest growth rate. Hospitals and laboratories are increasingly adopting IIoT solutions to improve asset tracking and equipment utilization. Connected medical devices enable real-time monitoring of operational parameters and compliance metrics. Automation supported by IIoT enhances workflow efficiency in pharmaceutical manufacturing and bioprocessing. Predictive analytics helps reduce equipment downtime in critical healthcare environments. The integration of IIoT with regulatory reporting systems improves traceability and quality assurance.
Region with largest share:
During the forecast period, the Asia Pacific region is expected to hold the largest market share. Rapid industrialization and large-scale manufacturing expansion are key contributors to regional growth. Countries such as China, India, Japan, and South Korea are investing heavily in smart factory initiatives. Government-backed programs promoting digital manufacturing are accelerating IIoT adoption. The presence of a strong electronics and semiconductor manufacturing base further supports market expansion. Local vendors are collaborating with global technology providers to enhance solution availability.
Region with highest CAGR:
Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, owing to early adoption of advanced digital technologies and automation solutions. Industrial enterprises are integrating AI, cloud platforms, and edge analytics into IIoT deployments. Strong R&D investment is fostering innovation in smart manufacturing and connected operations. Regulatory emphasis on industrial cybersecurity is encouraging secure IIoT implementation. The presence of major IIoT platform providers strengthens the regional ecosystem.
Key players in the market
Some of the key players in Industrial IoT Automation Market include Siemens AG, SAP SE, General Electric, Hitachi Vantara, Cisco Systems, Inc., Robert Bosch GmbH, Rockwell Automation, Inc., ABB Ltd., Schneider Electric SE, PTC Inc., Honeywell International Inc., Intel Corporation, IBM Corporation, Amazon Web Services, and Microsoft Corporation.
Key Developments:
In July 2025, Siemens AG announced that it has completed the acquisition of Dotmatics, a leading provider of Life Sciences R&D software headquartered in Boston and Portfolio Company of global software investor Insight Partners, for an enterprise value of $5.1 billion. With the transaction now completed, Dotmatics will form part of Siemens’ Digital Industries Software business, marking a significant expansion of Siemens’ industry-leading Product Lifecycle Management (PLM) portfolio into the rapidly growing and complementary Life Sciences market.
In July 2025, Honeywell announced that it has acquired from Nexceris its Li-ion Tamer business, a leading off-gas detection solution for lithium-ion (li-ion) batteries that detects thermal runaway events. The acquisition enhances Honeywell's portfolio of best-in-class fire life safety technologies within its Building Automation segment and emerged from a partnership with Nexceris over the past 5 years to strategically address lithium-ion battery system safety. The transaction is expected to be immediately accretive to Honeywell's financials.
Components Covered:
• Hardware
• Software
• Services
Deployment Models Covered:
• On-Premise
• Cloud-Based
• Edge Computing
• Hybrid
Connectivity Types Covered:
• Wired
• Wireless
• Hybrid
Applications Covered:
• Predictive Maintenance
• Asset Tracking & Management
• Process Optimization
• Remote Monitoring & Control
• Quality Management
• Energy Management
• Supply Chain & Inventory Mgmt
• Other Applications
End Users Covered:
• Manufacturing
• Energy & Utilities
• Oil & Gas
• Transportation & Logistics
• Healthcare & Life Sciences
• Smart Buildings & Infrastructure
• Agriculture & Farming
• Other End Users
Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o 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
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o 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 Application Analysis
3.7 End User 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 Industrial IoT Automation Market, By Component
5.1 Introduction
5.2 Hardware
5.2.1 Sensors & Actuators
5.2.2 Gateways & Edge Devices
5.2.3 Controllers & PLCs
5.2.4 Connectivity Modules
5.3 Software
5.3.1 Analytics & Visualization
5.3.2 IIoT Platforms
5.3.3 Security Software
5.3.4 Device & Network Management
5.4 Services
5.4.1 Professional Services
5.4.2 Managed Services
5.4.3 Maintenance Services
5.4.4 Integration & Support
6 Global Industrial IoT Automation Market, By Deployment Model
6.1 Introduction
6.2 On-Premise
6.3 Cloud-Based
6.4 Edge Computing
6.5 Hybrid
7 Global Industrial IoT Automation Market, By Connectivity Type
7.1 Introduction
7.2 Wired
7.3 Wireless
7.4 Hybrid
8 Global Industrial IoT Automation Market, By Application
8.1 Introduction
8.2 Predictive Maintenance
8.3 Asset Tracking & Management
8.4 Process Optimization
8.5 Remote Monitoring & Control
8.6 Quality Management
8.7 Energy Management
8.8 Supply Chain & Inventory Mgmt
8.9 Other Applications
9 Global Industrial IoT Automation Market, By End User
9.1 Introduction
9.2 Manufacturing
9.2.1 Discrete Manufacturing
9.2.2 Process Manufacturing
9.3 Energy & Utilities
9.4 Oil & Gas
9.5 Transportation & Logistics
9.6 Healthcare & Life Sciences
9.7 Smart Buildings & Infrastructure
9.8 Agriculture & Farming
9.9 Other End Users
10 Global Industrial IoT Automation Market, By Geography
10.1 Introduction
10.2 North America
10.2.1 US
10.2.2 Canada
10.2.3 Mexico
10.3 Europe
10.3.1 Germany
10.3.2 UK
10.3.3 Italy
10.3.4 France
10.3.5 Spain
10.3.6 Rest of Europe
10.4 Asia Pacific
10.4.1 Japan
10.4.2 China
10.4.3 India
10.4.4 Australia
10.4.5 New Zealand
10.4.6 South Korea
10.4.7 Rest of Asia Pacific
10.5 South America
10.5.1 Argentina
10.5.2 Brazil
10.5.3 Chile
10.5.4 Rest of South America
10.6 Middle East & Africa
10.6.1 Saudi Arabia
10.6.2 UAE
10.6.3 Qatar
10.6.4 South Africa
10.6.5 Rest of Middle East & Africa
11 Key Developments
11.1 Agreements, Partnerships, Collaborations and Joint Ventures
11.2 Acquisitions & Mergers
11.3 New Product Launch
11.4 Expansions
11.5 Other Key Strategies
12 Company Profiling
12.1 Siemens AG
12.2 SAP SE
12.3 General Electric
12.4 Hitachi Vantara
12.5 Cisco Systems, Inc.
12.6 Robert Bosch GmbH
12.7 Rockwell Automation, Inc.
12.8 ABB Ltd.
12.9 Schneider Electric SE
12.10 PTC Inc.
12.11 Honeywell International Inc.
12.12 Intel Corporation
12.13 IBM Corporation
12.14 Amazon Web Services
12.15 Microsoft Corporation
List of Tables
1 Global Industrial IoT Automation Market Outlook, By Region (2024-2032) ($MN)
2 Global Industrial IoT Automation Market Outlook, By Component (2024-2032) ($MN)
3 Global Industrial IoT Automation Market Outlook, By Hardware (2024-2032) ($MN)
4 Global Industrial IoT Automation Market Outlook, By Sensors & Actuators (2024-2032) ($MN)
5 Global Industrial IoT Automation Market Outlook, By Gateways & Edge Devices (2024-2032) ($MN)
6 Global Industrial IoT Automation Market Outlook, By Controllers & PLCs (2024-2032) ($MN)
7 Global Industrial IoT Automation Market Outlook, By Connectivity Modules (2024-2032) ($MN)
8 Global Industrial IoT Automation Market Outlook, By Software (2024-2032) ($MN)
9 Global Industrial IoT Automation Market Outlook, By Analytics & Visualization (2024-2032) ($MN)
10 Global Industrial IoT Automation Market Outlook, By IIoT Platforms (2024-2032) ($MN)
11 Global Industrial IoT Automation Market Outlook, By Security Software (2024-2032) ($MN)
12 Global Industrial IoT Automation Market Outlook, By Device & Network Management (2024-2032) ($MN)
13 Global Industrial IoT Automation Market Outlook, By Services (2024-2032) ($MN)
14 Global Industrial IoT Automation Market Outlook, By Professional Services (2024-2032) ($MN)
15 Global Industrial IoT Automation Market Outlook, By Managed Services (2024-2032) ($MN)
16 Global Industrial IoT Automation Market Outlook, By Maintenance Services (2024-2032) ($MN)
17 Global Industrial IoT Automation Market Outlook, By Integration & Support (2024-2032) ($MN)
18 Global Industrial IoT Automation Market Outlook, By Deployment Model (2024-2032) ($MN)
19 Global Industrial IoT Automation Market Outlook, By On-Premise (2024-2032) ($MN)
20 Global Industrial IoT Automation Market Outlook, By Cloud-Based (2024-2032) ($MN)
21 Global Industrial IoT Automation Market Outlook, By Edge Computing (2024-2032) ($MN)
22 Global Industrial IoT Automation Market Outlook, By Hybrid (2024-2032) ($MN)
23 Global Industrial IoT Automation Market Outlook, By Connectivity Type (2024-2032) ($MN)
24 Global Industrial IoT Automation Market Outlook, By Wired (2024-2032) ($MN)
25 Global Industrial IoT Automation Market Outlook, By Wireless (2024-2032) ($MN)
26 Global Industrial IoT Automation Market Outlook, By Hybrid (2024-2032) ($MN)
27 Global Industrial IoT Automation Market Outlook, By Application (2024-2032) ($MN)
28 Global Industrial IoT Automation Market Outlook, By Predictive Maintenance (2024-2032) ($MN)
29 Global Industrial IoT Automation Market Outlook, By Asset Tracking & Management (2024-2032) ($MN)
30 Global Industrial IoT Automation Market Outlook, By Process Optimization (2024-2032) ($MN)
31 Global Industrial IoT Automation Market Outlook, By Remote Monitoring & Control (2024-2032) ($MN)
32 Global Industrial IoT Automation Market Outlook, By Quality Management (2024-2032) ($MN)
33 Global Industrial IoT Automation Market Outlook, By Energy Management (2024-2032) ($MN)
34 Global Industrial IoT Automation Market Outlook, By Supply Chain & Inventory Mgmt (2024-2032) ($MN)
35 Global Industrial IoT Automation Market Outlook, By Other Applications (2024-2032) ($MN)
36 Global Industrial IoT Automation Market Outlook, By End User (2024-2032) ($MN)
37 Global Industrial IoT Automation Market Outlook, By Manufacturing (2024-2032) ($MN)
38 Global Industrial IoT Automation Market Outlook, By Discrete Manufacturing (2024-2032) ($MN)
39 Global Industrial IoT Automation Market Outlook, By Process Manufacturing (2024-2032) ($MN)
40 Global Industrial IoT Automation Market Outlook, By Energy & Utilities (2024-2032) ($MN)
41 Global Industrial IoT Automation Market Outlook, By Oil & Gas (2024-2032) ($MN)
42 Global Industrial IoT Automation Market Outlook, By Transportation & Logistics (2024-2032) ($MN)
43 Global Industrial IoT Automation Market Outlook, By Healthcare & Life Sciences (2024-2032) ($MN)
44 Global Industrial IoT Automation Market Outlook, By Smart Buildings & Infrastructure (2024-2032) ($MN)
45 Global Industrial IoT Automation Market Outlook, By Agriculture & Farming (2024-2032) ($MN)
46 Global Industrial IoT Automation Market Outlook, By Other End Users (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.
List of Figures
RESEARCH METHODOLOGY
We at ‘Stratistics’ opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.
Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.
Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.
Data Mining
The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.
Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.
Data Analysis
From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:
- Product Lifecycle Analysis
- Competitor analysis
- Risk analysis
- Porters Analysis
- PESTEL Analysis
- SWOT Analysis
The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.
Data Validation
The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.
We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.
The data validation involves the primary research from the industry experts belonging to:
- Leading Companies
- Suppliers & Distributors
- Manufacturers
- Consumers
- Industry/Strategic Consultants
Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.
For more details about research methodology, kindly write to us at info@strategymrc.com
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