Industrial Internet of Things (IIoT) Market by Services (Professional Services and Managed Services), Solutions (Real-Time Streaming Analytics, Security, Data Management, Remote Monitoring), Platform Type (Device Management, Application Management, Network Management), by Verticals (Agriculture, Manufacturing, Metals and Mining, Oil and Gas) and Geography - Global Forecast to 2026.
- Report code : CMI20816 |
- Industry :
Information and Communication Technology
- To Be Published : Jul 2018 |
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The industrial internet of things is a term used to describe the interconnectivity of industrial processes and manufacturing equipment by adoption of IOT technology. The adoption of sensors in industries have given the birth to industrial IOT market. Sensors help convert information from analog to digital. Data networking and computing power have increased the demand for sensors in the automation industry. Continuous development of sensors technology and adoption of data, computing, and connectivity technology, analytics and artificial intelligent, human machine interaction, and digitalization are major factors driving growth to the industrial IOT market.
Industrial Internet of Things Market Taxonomy
On the basis of service, the global industrial internet of things market is segmented into:
- Professional services
- Managed Services
The managed service segment held the dominant position in 2016 and is projected to maintain its dominance throughout the forecast period. Increasing government initiatives towards digitalization and increasing government investments to boost the adoption of IOT technology in various industries such as utilities and manufacturing are expected to drive growth of the IOT market. The professional services segment is expected exhibit the highest CAGR over the forecast period.
On the basis of solution, the global industrial internet of things market is segmented into:
- Real-Time Streaming Analytics
- Security
- Data Management
- Remote Monitoring
- Network Bandwidth Management
On the basis of platform type, the global industrial internet of things market is segmented into:
- Device Management
- Application Management
- Network Management
On the basis of verticals, the global industrial internet of things market is segmented into:
- Agriculture
- Manufacturing
- Automotive& machinery
- Food and Beverage
- Chemicals and Materials
- Electronics and Utilities
- Healthcare and Pharmaceuticals
- Metals and Mining
- Oil and Gas
- Retail
- Transportation
- Others
The manufacturing segment held a dominant position in 2016. This segment is projected to maintain its dominance throughout the forecast period. The high adoption of wireless connectivity, sensors, and software solutions help create communication networks using IP connectivity. This in turn, helps reduce the production cost and time.
Industrial Internet of Things Market Outlook – Asia Pacific holds significant market share
On the basis of geography, the global industrial internet of things market is segmented into North America, Europe, Asia Pacific, Latin America, Middle East, and Africa. North America holds a dominant position in the global industrial internet of things market and is projected to retain its dominance throughout the forecast period. Growing digitalization and high adoption of IOT solutions by manufacturing and automation industries have contributed to growth of the market in North America. Similarly, the Asia Pacific is projected to exhibit the highest CAGR over the forecast period. India, china, Japan, and South Korea are some of the major countries that help drive growth of the market for IOT in the Asia Pacific region. Dense population, increasing disposable income, and large scale industrialization in the region are boosting growth of the market. In addition to this, the increasing adoption of digitalization by various industries to reduce the production time and operating costs also create a conducive environment for growth of the industrial IOT market in Asia Pacific.
Key Players in the Global Industrial Internet of Things Market
ABB, ARM Ltd., Cisco Systems, Inc., Dassault Systèmes, General Electric, Honeywell International Inc., Huawei Technology Co., Ltd., Intel Corporation, Rockwell Automation, Inc., and Texas Instruments Inc. are some of the major players in the global industrial internet of things market.
Research Methodology
Coherent Market Insights followsa comprehensive research methodology focused on providing the most precise market analysis. The company leverages a data triangulation model which helps company to gauge the market dynamics and provide accurate estimates. Key components of the research methodologies followed for all our market reports include:
- Primary Research (Trade Surveys and Experts Interviews)
- Desk Research
- Proprietor Data Analytics Model
In addition to this, Coherent Market Insights has access to a wide range of the regional and global reputed paid data bases, which helps the company to figure out the regional and global market trends and dynamics. The company analyses the industry from the 360 Degree Perspective i.e. from the Supply Side and Demand Side which enables us to provide granular details of the entire ecosystem for each study. Finally, a Top-Down approach and Bottom-Up approach is followed to arrive at ultimate research findings.
Coherent Market Insights desk research is based on a principle set of research techniques:
- National level desk research: It Includes research analysis of regional players, regional regulatory bodies, regional trade associations, and regional organization.
- Multinational level desk research: The research team keeps a track of multinational players, global regulatory bodies, global trade associations, and global organization.
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- Governmental bodies, National and international social welfare institutions, and organizations creating economic policies among others.
- Trade association, National and international media and trade press.
- Company Annual reports, SEC filings, Corporate Presentations, press release, news, and specification sheet of manufacturers, system integrators, brick and mortar - distributors and retailers, and third party online commerce players.
- Scientific journals, and other technical magazines and whitepapers.
Preliminary Data Mining
The raw data is obtained through the secondary findings, in house repositories, and trade surveys. It is then filtered to ensure that the relevant information including industry dynamics, trends, and outlook is retained for further research process.
Data Standardization:
Holistic approach is used to ensure that the granular and uncommon parameters are taken into consideration to ensure accurate results. The information from the paid databases are further combined to the raw data in order to standardize it.
Coherent Statistical model
We arrive at our final research findings through simulation models. Coherent Data Analytics Model is a statistical tool that helps company to forecast market estimates. Few of the parameters considered as a part of the statistical model include:
- Micro-economic indicators
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Data Processing
Once the findings are derived from the statistical model, large volume of data is process to confirm accurate research results. Data analytics and processing tools are adopted to process large chunk of collected informative data. In case, a client customizes the study during the process, the research finding till then are benchmarked, and the process for new research requirement is initiated again.
Data Validation
This is the most crucial stage of the research process. Primary Interviews are conducted to validate the data and analysis. This helps in achieving the following purposes:
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- Industry experts validates the estimates which helps the company to cement the on-going research study.
- Primary research includes online surveys, face-to face interviews, and telephonic interviews.
The primary research is conducted with the ecosystem players including, but not limited to:
- Raw Material Suppliers
- Manufacturers
- System Integrators
- Distributors
- End-users
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