Report Id: SNS/ICT/1269 | May 2022 | Region: Global | 135 Pages
Report Scope & Overview:
The Industrial IoT (IIoT) Platform Market size was valued at USD 254.54 Bn in 2021 and is expected to reach at USD 906.78 Bn by 2028, and grow at a CAGR of 19.91 % over the forecast period 2022-2028.
The Industrial Internet of Things (IIoT) is a subset of the Internet of Things idea. It is made up of networked devices such as sensors and instruments that are linked to computer networks to service applications. The apps leverage cloud computing to incorporate current developments in the automation business. A vast quantity of data is gathered and then delivered to a central cloud-based service, where it is combined with other data before being shared with end-users. The manufacturing landscape is evolving at a rapid pace, with substantial changes taking place on numerous fronts. The internet of things (IoT) has impacted organizations interested in digital transformation to power their future factories.
The industrial internet of things (IIoT) is a developing element of IoT that uses actuators and smart sensors to connect machines and humans to the Internet. As a result, industrial and manufacturing processes are improving in terms of safety, productivity, and efficiency.
In the manufacture of industrial machinery and equipment, the worldwide industrial IoT platform market will continue to increase considerably year over year. As a result, the industry's new frontier is the integration of IIoT platforms with industrial automation.
The monetization potential of IIoT platform-enabled apps in conjunction with the IIoT platform is enormous, but its deployment is still in its infancy. Because of the importance of IIoT platforms in the industrial environment, market participants will need to have a clear view of their businesses. The market's predicted time frame of development and the ideal amount of investment in services and technology are included in the perspective.
Asset tracking and industrial tool monitoring are common uses of IoT devices and control systems.
Operational data from IoT-enabled devices and equipment acquired by the organization.
Predictive maintenance is used to assess the status of equipment in detail.
For efficient operations, particular IT technical skills and experience must be deployed and maintained effectively.
Network administration is growing increasingly complex for IT teams as more IoT devices are introduced to networks.
A shortage of technically trained workers.
The Internet of Things (IoT) is a crucial digital transformation technology that allows organizations to improve their operational efficiency.
Other technologies are driving demand for enterprise digital transformation (big data analytics, cloud, and edge computing).
The expanding popularity of sophisticated technologies is encouraging businesses to use IoT.
A major difficulty is ensuring data security and privacy.
Privacy and security are two closely connected challenges for IoT devices in a large-scale deployment.
Various cyber dangers might get access to the corporate data generated at cloud and IoT-enabled devices.
IMPACT OF COVID-19:
Demand and supply have both diminished as a result of the new coronavirus's spread, and operations have been temporarily suspended. Furthermore, due to government-imposed restrictions, the majority of employees have begun working remotely. However, it is difficult to control and run machines and equipment remotely in manufacturing or industries, which is driving the growth of the industrial IoT platform market.
Workers can connect to equipment and manage activities via the cloud. Many businesses have begun to provide remote control and access to various devices. It is simple to install connection kits on most computers because they have longer down periods. Every piece of equipment that is connected to the internet will benefit industries since data collecting, remote monitoring, and other services will be available. By the end of 2021, the market is expected to have grown at a 2x rate.
To improve company operations and boost operational efficiency, IIoT platforms link numerous devices, sensors, machines, routers, controllers, gateways, and edge computing systems centrally. The IIoT platform can be used as a technology suite, a general-purpose application platform, or both at the same time. IIoT systems are designed to meet the needs of industrial assets and their operational environments in terms of safety, security, and mission-criticality. IIoT platforms also keep track of IoT endpoints and event streams, as well as support and translate a range of manufacturer and industry-specific protocols. Data is also analyzed at the IoT edge and in the cloud by the IIoT platform.
The application enablement platform was created to make managing a variety of applications easier, including packing, deployment, and a containerized Software-Defined Environment (SDE). The application enablement platform aids in the management of various application provisioning as well as the provision of application-level security services. Furthermore, application enablement platforms are being used to solve goals such as intelligent product upgrades, dynamic responsiveness to market demands, cost reduction, resource optimization, and waste reduction.
The deployed software within the IIoT infrastructure benefits from support and maintenance services. These services include round-the-clock troubleshooting, software upgrades, problem-solving, repair, and replacement of failed components, field maintenance, proactive services, technical support from professionals, and test scenario management. More and more assets are being connected with tracking devices, sensors, and actuators, giving a centralized link to the IIoT platform, thanks to the emergence of low-cost sensors, location-based services with GPS, inexpensive connections, and gateways. Asset management systems that use the IIoT platform to update the component location as soon as they arrive reduce these risks. Asset management is critical for managing physical assets as well as the operation of industrial equipment.
Automobiles, furniture, toys, smartphones, and airplanes are all part of the discrete industry. Automotive, machine manufacturing, semiconductor and electronics, medical devices, logistics and transportation all fall under the discrete industry umbrella. IIoT systems assist these industries by providing solutions like predictive management, labor tracking, and logistics and supply chain management, which allow businesses to increase operational efficiency, extend asset life, and minimize downtime.
KEY MARKET SEGMENTS:
On The Basis of Offering:
Device Management Platform
Application Enablement Platform
Connectivity Management Platform
System Integration and Deployment
Support and Maintenance
On The Basis of Application Area:
Supply Chain and Management
Business Process Optimization
Emergency and Incident Management
On The Basis of Vertical:
Energy and Utilities
Chemical and Materials
Food and Beverages
Semiconductor and Electronics
Logistics and Transportation
The leading industry participants are projected to concentrate on cost reduction, making it difficult for newcomers to get into the market. Venture capital investment, on the other hand, is projected to aid IIoT firms in breaking into the market. Companies in both the commercial and public sectors are projected to begin concentrating on innovation, productivity, and value as they grasp the importance of IIoT in offering integrated and sustainable goods and services to tech-savvy organizations. The key players are ABB, General Electric Company (GE), IBM Corporation, Intel Corporation, Rockwell Automation, Inc., Siemens AG, Microsoft Corporation, QiO Technologies, Litmus Automation, Amazon Web Services.
The worldwide industrial IoT platform market is dominated by North America. Because the United States and Canada have well-established and stable economies, they are able to invest heavily in research and development. This, in turn, aids the advancement of cutting-edge technology. Furthermore, North America's start-up culture, together with SMEs, is rapidly expanding, assisting market expansion. Similarly, APAC is launching a slew of projects to boost IoT infrastructure, allowing consumers to embrace cutting-edge technology.
The industrial IoT platform market research is based on first-hand data, qualitative and quantitative analysis by industry analysts, and inputs from industry experts and stakeholders from all parts of the value chain. The research examines parent market trends, macroeconomic indicators, and controlling variables in-depth, as well as market attractiveness by segment. The qualitative influence of key market variables on market segments and regions is also mapped out in the market study.
Rest of Europe
Rest of Asia-Pacific
The Middle East & Africa
Rest of Middle East & Africa
Rest of Latin America
|Market Size in 2021||US$ 254.54 Bn|
|Market Size by 2028||US$ 906.78 Bn|
|CAGR||CAGR of 19.91% From 2022 to 2028|
|Report Scope & Coverage||Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook|
|Key Segments||• by Offering (Platforms and Consulting Services)
• by Application Area (Supply Chain and Management, Business Process Optimization, Workforce Management, Automation Control, Emergency and Incident Management)
• by Vertical (Process Industry, Energy and Utilities, Chemical and Materials, Food and Beverages, Discrete Industry, Automotive, Machine Manufacturing, Semiconductor and Electronics, Medical Devices, Logistics and Transportation, Others)
|Regional Analysis/Coverage||North America (USA, Canada, Mexico), Europe
(Germany, UK, France, Italy, Spain, Netherlands,
Rest of Europe), Asia-Pacific (Japan, South Korea,
China, India, Australia, Rest of Asia-Pacific), The
Middle East & Africa (Israel, UAE, South Africa,
Rest of Middle East & Africa), Latin America (Brazil, Argentina, Rest of Latin America)
|Company Profiles||ABB, General Electric Company (GE), IBM Corporation, Intel Corporation, Rockwell Automation, Inc., Siemens AG, Microsoft Corporation, QiO Technologies, Litmus Automation, Amazon Web Services|
|Key Drivers||• Asset tracking and industrial tool monitoring are common uses of IoT devices and control systems.
• Operational data from IoT-enabled devices and equipment acquired by the organization.
|Market Opportunities||• The Internet of Things (IoT) is a crucial digital transformation technology that allows organizations to improve their operational efficiency.|
Frequently Asked Questions (FAQ) :
Ans:-The Industrial IoT (IIoT) Platform Market size was valued at USD 254.54 Bn in 2021.
Ans:- A major difficulty is ensuring data security and privacy.
Ans:- The Industrial IoT (IIoT) Platform Market is segmented into Offering, Application areas, and Verticals.
Ans:- The key players are ABB, General Electric Company (GE), IBM Corporation, Intel Corporation, Rockwell Automation, Inc., Siemens AG, Microsoft Corporation, QiO Technologies, Litmus Automation, Amazon Web Services.
Ans:- The worldwide industrial IoT platform market is dominated by North America.
Table of Contents
1.1 Market Definition
1.3 Research Assumptions
2. Research Methodology
3. Market Dynamics
4. Impact Analysis
4.1 COVID 19 Impact Analysis
4.2 Impact of the Ukraine- Russia war
5. Value Chain Analysis
6. Porter’s 5 forces model
7. PEST Analysis
8. Industrial IoT (IIoT) Platform Market Segmentation, by Offering
8.1.1 Device Management Platform
8.1.2 Application Enablement Platform
8.1.3 Connectivity Management Platform
8.2 Consulting Services
8.2.1 System Integration and Deployment
8.2.2 Support and Maintenance
9. Industrial IoT (IIoT) Platform Market Segmentation, by Application area
9.1 Supply Chain and Management
9.2 Business Process Optimization
9.3 Workforce Management
9.4 Automation Control
9.5 Emergency and Incident Management
10. Industrial IoT (IIoT) Platform Market Segmentation, by Vertical
10.1 Process Industry
10.2 Energy and Utilities
10.3 Chemical and Materials
10.4 Food and Beverages
10.5 Discrete Industry
10.7 Machine Manufacturing
10.8 Semiconductor and Electronics
10.9 Medical Devices
10.10 Logistics and Transportation
11. Regional Analysis
11.2 North America
11.3.6 The Netherlands
11.3.7 Rest of Europe
11.4.2 South Korea
11.4.6 Rest of Asia-Pacific
11.5 The Middle East & Africa
11.5.3 South Africa
11.6 Latin America
11.6.3 Rest of Latin America
12. Company Profiles
12.1.2 Products/ Services Offered
12.1.3 SWOT Analysis
12.1.4 The SNS view
12.2 General Electric Company (GE)
12.3 IBM Corporation
12.4 Intel Corporation
12.5 Rockwell Automation, Inc.
12.6 Siemens AG
12.7 Microsoft Corporation
12.8 QiO Technologies
12.9 Litmus Automation
12.10 Amazon Web Services
13. Competitive Landscape
13.1 Competitive Benchmarking
13.2 Market Share analysis
13.3 Recent Developments
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.