INFORMATION & COMMUNICATION TECHNOLOGY
Global Industrial IoT (IIoT) Market - Industry Trends and Forecast to 2032
REPORT OVERVIEW
Global Industrial IoT (IIoT) Market, By Offering (Hardware, Software, and Platforms), Connectivity Technology (Wired and Wireless), Deployment (On-Premise and Cloud-Based), Vertical (Manufacturing, Energy, Oil and Gas, Metals and Mining, Healthcare, Retail, Transportation, and Agriculture), Region (North America, Europe, Asia-Pacific, South America, Middle East and Africa) – Industry Trends and Forecast to 2032.
Market Insights
Market Dynamics
- Demand for smart manufacturing
- Advancements in connectivity technologies
- High initial investment costs
- Lack of skilled workforce
- Expansion of smart cities and infrastructure projects
- Cybersecurity solutions and services
- Data privacy and compliance
- Regulatory and legal challenges
SEGMENTATION
- Offering
- Hardware
- Software
- Platforms
- Connectivity Technology
- Wired
- Wireless
- Deployment
- On-Premise
- Cloud-Based
- Vertical
- Manufacturing
- Energy
- Oil and Gas
- Metals and Mining
- Healthcare
- Retail
- Transportation
- Agriculture
- North America
- U.S.
- Canada
- Mexico
- Rest of North America
- Europe
- Germany
- U.K.
- France
- Italy
- Spain
- Russia
- The Netherlands
- Belgium
- Turkey
- Rest of Europe
- Asia-Pacific
- China
- India
- Japan
- South Korea
- Singapore
- Malaysia
- Australia
- Thailand
- Philippines
- Rest of Asia-Pacific
- South America
- Brazil
- Argentina
- Chile
- Colombia
- Rest of South America
- Middle East and Africa
- Kingdom of Saudi Arabia
- South Africa
- U.A.E.
- Egypt
- Rest of Middle East and Africa
KEY MARKET PLAYERS
- ABB
- General Electric
- Emerson Electric Co.
- Siemens
- Arundo
- NEC Corporation
- Dassault Systemes
- Arm Limited
- PTC
- Huawei Technologies Co.
Table OF CONTENTS
- SECTION 1 - INTRODUCTION
- 1.1 Taxonomy
- 1.2 Market Overview
- 1.3 Currency and Limitations
- 1.3.1 Currency
- 1.3.2 Limitations
- 1.4 Key Competitors
- SECTION 2 - RESEARCH METHODOLOGY
- 2.1 Research Approach
- 2.2 Data Collection and Validation
- 2.2.1 Secondary Research
- 2.2.2 Primary Research
- 2.3 Market Assessment
- 2.3.1 Market Size Estimation
- 2.3.2 Bottom-up Approach
- 2.3.3 Top-down Approach
- 2.3.4 Growth Forecast
- 2.4 Market Study Assumptions
- 2.5 Data Sources
- SECTION 3 - EXECUTIVE SUMMARY
- 3.1 Global Industrial IoT (IIoT) Market, by Offering
- 3.2 Global Industrial IoT (IIoT) Market, by Connectivity Technology
- 3.3 Global Industrial IoT (IIoT) Market, by Deployment
- 3.4 Global Industrial IoT (IIoT) Market, by Vertical
- 3.5 Global Industrial IoT (IIoT) Market, by Geography
- 3.6 Market Position Grid
- SECTION 4 - PREMIUM INSIGHTS
- 4.1 Regulatory Framework
- 4.1.1 Standards
- 4.1.2 Regulatory Landscape
- 4.2 Value Chain Analysis
- 4.3 Supply Chain Analysis
- 4.4 COVID-19 Impact
- 4.5 Russia-Ukraine War Impact
- 4.6 PORTER's Five Force Analysis
- 4.7 PESTLE Analysis
- 4.8 SWOT Analysis
- 4.9 Go to Market Strategy
- 4.10 Opportunity Orbit
- 4.11 Multivariate Modelling
- 4.12 Pricing Analysis
- SECTION 5 - MARKET DYNAMICS
- 5.1 Trends
- 5.1.1 Expansion of 5G connectivity
- 5.1.2 Shift towards predictive maintenance
- 5.1.3 Trend 3
- 5.2 Drivers
- 5.2.1 Demand for smart manufacturing
- 5.2.2 Advancements in connectivity technologies
- 5.2.3 Driver 3
- 5.2.4 Driver 4
- 5.3 Restraints
- 5.3.1 High initial investment costs
- 5.3.2 Lack of skilled workforce
- 5.3.3 Restraint 3
- 5.4 Opportunities
- 5.4.1 Expansion of smart cities and infrastructure projects
- 5.4.2 Cybersecurity solutions and services
- 5.4.3 Opportunity 3
- 5.4.4 Opportunity 4
- 5.5 Challenges
- 5.5.1 Data privacy and compliance
- 5.5.2 Regulatory and legal challenges
- 5.5.3 Challenge 3
- SECTION 6 - GLOBAL INDUSTRIAL IOT (IIOT) MARKET, BY OFFERING
- 6.1 Offering Summary
- 6.2 Market Attractive Index
- 6.3 Global Industrial IoT (IIoT) Market, by Offering (2019-2032)
- SECTION 7 - GLOBAL INDUSTRIAL IOT (IIOT) MARKET, BY CONNECTIVITY TECHNOLOGY
- 7.1 Connectivity Technology Summary
- 7.2 Market Attractive Index
- 7.3 Global Industrial IoT (IIoT) Market, by Connectivity Technology (2019-2032)
- SECTION 8 - GLOBAL INDUSTRIAL IOT (IIOT) MARKET, BY DEPLOYMENT
- 8.1 Deployment Summary
- 8.2 Market Attractive Index
- 8.3 Global Industrial IoT (IIoT) Market, by Deployment (2019-2032)
- SECTION 9 - GLOBAL INDUSTRIAL IOT (IIOT) MARKET, BY VERTICAL
- 9.1 Vertical Summary
- 9.2 Market Attractive Index
- 9.3 Global Industrial IoT (IIoT) Market, by Vertical (2019-2032)
- SECTION 10 - GLOBAL INDUSTRIAL IOT (IIOT) MARKET, BY GEOGRAPHY
- 10.1 Regional Summary
- 10.2 Market Attractive Index
- 10.3 Global Industrial IoT (IIoT) Market, by Geography (2019-2032)
- SECTION 11 - NORTH AMERICA INDUSTRIAL IOT (IIOT) MARKET
- 11.1 North America Summary
- 11.2 Market Attractive Index
- 11.3 North America Industrial IoT (IIoT) Market, by Offering (2019-2032)
- 11.4 North America Industrial IoT (IIoT) Market, by Connectivity Technology (2019-2032)
- 11.5 North America Industrial IoT (IIoT) Market, by Deployment (2019-2032)
- 11.6 North America Industrial IoT (IIoT) Market, by Vertical (2019-2032)
- 11.7 North America Industrial IoT (IIoT) Market, by Country (2019-2032)
- 11.7.1 U.S.
- 11.7.2 Canada
- 11.7.3 Mexico
- 11.7.4 Rest of North America
- SECTION 12 - EUROPE INDUSTRIAL IOT (IIOT) MARKET
- 12.1 Europe Summary
- 12.2 Market Attractive Index
- 12.3 Europe Industrial IoT (IIoT) Market, by Offering (2019-2032)
- 12.4 Europe Industrial IoT (IIoT) Market, by Connectivity Technology (2019-2032)
- 12.5 Europe Industrial IoT (IIoT) Market, by Deployment (2019-2032)
- 12.6 Europe Industrial IoT (IIoT) Market, by Vertical (2019-2032)
- 12.7 Europe Industrial IoT (IIoT) Market, by Country (2019-2032)
- 12.7.1 Germany
- 12.7.2 U.K.
- 12.7.3 France
- 12.7.4 Italy
- 12.7.5 Spain
- 12.7.6 Russia
- 12.7.7 The Netherlands
- 12.7.8 Belgium
- 12.7.9 Turkey
- 12.7.10 Rest of Europe
- SECTION 13 - ASIA-PACIFIC INDUSTRIAL IOT (IIOT) MARKET
- 13.1 Asia-Pacific Summary
- 13.2 Market Attractive Index
- 13.3 Asia-Pacific Industrial IoT (IIoT) Market, by Offering (2019-2032)
- 13.4 Asia-Pacific Industrial IoT (IIoT) Market, by Connectivity Technology (2019-2032)
- 13.5 Asia-Pacific Industrial IoT (IIoT) Market, by Deployment (2019-2032)
- 13.6 Asia-Pacific Industrial IoT (IIoT) Market, by Vertical (2019-2032)
- 13.7 Asia-Pacific Industrial IoT (IIoT) Market, by Country (2019-2032)
- 13.7.1 China
- 13.7.2 India
- 13.7.3 Japan
- 13.7.4 South Korea
- 13.7.5 Singapore
- 13.7.6 Malaysia
- 13.7.7 Australia
- 13.7.8 Thailand
- 13.7.9 Philippines
- 13.7.10 Rest of Asia-Pacific
- SECTION 14 - SOUTH AMERICA INDUSTRIAL IOT (IIOT) MARKET
- 14.1 South America Summary
- 14.2 Market Attractive Index
- 14.3 South America Industrial IoT (IIoT) Market, by Offering (2019-2032)
- 14.4 South America Industrial IoT (IIoT) Market, by Connectivity Technology (2019-2032)
- 14.5 South America Industrial IoT (IIoT) Market, by Deployment (2019-2032)
- 14.6 South America Industrial IoT (IIoT) Market, by Vertical (2019-2032)
- 14.7 South America Industrial IoT (IIoT) Market, by Country (2019-2032)
- 14.7.1 Brazil
- 14.7.2 Argentina
- 14.7.3 Chile
- 14.7.4 Colombia
- 14.7.5 Rest of South America
- SECTION 15 - MIDDLE EAST AND AFRICA INDUSTRIAL IOT (IIOT) MARKET
- 15.1 Middle East and Africa Summary
- 15.2 Market Attractive Index
- 15.3 Middle East and Africa Industrial IoT (IIoT) Market, by Offering (2019-2032)
- 15.4 Middle East and Africa Industrial IoT (IIoT) Market, by Connectivity Technology (2019-2032)
- 15.5 Middle East and Africa Industrial IoT (IIoT) Market, by Deployment (2019-2032)
- 15.6 Middle East and Africa Industrial IoT (IIoT) Market, by Vertical (2019-2032)
- 15.7 Middle East and Africa Industrial IoT (IIoT) Market, by Country (2019-2032)
- 15.7.1 Kingdom of Saudi Arabia
- 15.7.2 South Africa
- 15.7.3 U.A.E.
- 15.7.4 Egypt
- 15.7.5 Rest of Middle East and Africa
- SECTION 16 - COMPANY SHARE ANALYSIS
- 16.1 Global Industrial IoT (IIoT) Market, Company Share Analysis
- 16.2 North America Industrial IoT (IIoT) Market, Company Share Analysis
- 16.3 Europe Industrial IoT (IIoT) Market, Company Share Analysis
- 16.4 Asia-Pacific Industrial IoT (IIoT) Market, Company Share Analysis
- SECTION 17 - COMPANY PROFILES
- 17.1 ABB
- 17.1.1 Company Snapshot
- 17.1.2 Financial Overview
- 17.1.3 Product Portfolio
- 17.1.4 Recent Developments
- 17.2 General Electric
- 17.2.1 Company Snapshot
- 17.2.2 Financial Overview
- 17.2.3 Product Portfolio
- 17.2.4 Recent Developments
- 17.3 Emerson Electric Co.
- 17.3.1 Company Snapshot
- 17.3.2 Financial Overview
- 17.3.3 Product Portfolio
- 17.3.4 Recent Developments
- 17.4 Siemens
- 17.4.1 Company Snapshot
- 17.4.2 Financial Overview
- 17.4.3 Product Portfolio
- 17.4.4 Recent Developments
- 17.5 Arundo
- 17.5.1 Company Snapshot
- 17.5.2 Financial Overview
- 17.5.3 Product Portfolio
- 17.5.4 Recent Developments
- 17.6 NEC Corporation
- 17.6.1 Company Snapshot
- 17.6.2 Financial Overview
- 17.6.3 Product Portfolio
- 17.6.4 Recent Developments
- 17.7 Dassault Systemes
- 17.7.1 Company Snapshot
- 17.7.2 Financial Overview
- 17.7.3 Product Portfolio
- 17.7.4 Recent Developments
- 17.8 Arm Limited
- 17.8.1 Company Snapshot
- 17.8.2 Financial Overview
- 17.8.3 Product Portfolio
- 17.8.4 Recent Developments
- 17.9 PTC
- 17.9.1 Company Snapshot
- 17.9.2 Financial Overview
- 17.9.3 Product Portfolio
- 17.9.4 Recent Developments
- 17.10 Huawei Technologies Co.
- 17.10.1 Company Snapshot
- 17.10.2 Financial Overview
- 17.10.3 Product Portfolio
- 17.10.4 Recent Developments
- SECTION 18 - RELATED REPORTS
- SECTION 19 - DISCLAIMER
RESEARCH METHODOLOGY
RESEARCH AND DATA COLLECTION
- Research articles published on Technium
- Science and MDPI
- Research publications by government approved associations and societies
DATA PRE-PROCESSING
The term "data pre-processing" refers to the collection of procedures and methods used to clean, modify, and make ready for analysis the raw data gathered during research and data collection. The completion of this phase is necessary to guarantee that the data are reliable, consistent, and appropriate for statistical analysis and other data-driven tasks. The data pre-processing ensures that the information gathered from research and data collection is comparable and expressed in standard units, by the integration of missing data pointers and algorithmic approaches.
MODELING AND FORECASTING
QUALITY ASSURANCE AND OUTPUT
Quality assurance and output involves the process of validation, adjustments, further publications of key market indicators. Extensive plausibility and consistency tests are performed on derived time series to ensure the high degree of quality of our market analysis. This quality assurance procedure also includes rigorous inspection, validation, and editing by an experienced management team to assure the dependability of the published data.