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Cloud Computing In Industrial IoT Market: Global Industry Analysis, Trends, Market Size and Forecasts up to 2024

Cloud Computing In Industrial IoT Market: Global Industry Analysis, Trends, Market Size and Forecasts up to 2024

The report on global cloud computing in industrial iot market provides qualitative and quantitative analysis for the period of 2016 to 2024. The report predicts the global cloud computing in industrial iot market to grow with a CAGR of 25.7% over the forecast period of 2016-2024. The study on cloud computing in industrial iot market covers the analysis of the leading geographies such as North America, Europe, Asia-Pacific and RoW for the period of 2016 to 2024.
Rising adoption of cloud platform and increase in wireless networking technologies are the prime factors driving the growth of the cloud computing in industrial IoT market. Additionally, cloud based storage provides remote database to save the data files rather keeping on hard drive or local storage devices. This in turn is fuelling the growth of the cloud computing in industrial IoT market. On the other hand, cloud computing reduces the expenses of buying hardware, requires low set-up cost & running on-site data centers is anticipated to boost the cloud computing in industrial IoT market. However, rising concerns regarding security, privacy and rising number of cyber-attacks activities are the factors expected to hinder the growth of the cloud computing in industrial IoT market over the forecast period. Furthermore, Industrial internet of things represents significant opportunity for centralized cloud as well as distributed computing often referred to as fog computing .
Among the geography, Asia Pacific holds the largest market share in global cloud computing in industrial IoT market followed by North America. Additionally, high investments in technological advancement and developing industrial sector coupled with augmented adoption rate of IoT is anticipated to boost the cloud computing for industrial IoT market in the Asia Pacific regions. Moreover, North America holds the second largest position in the global industrial IoT market owing to the willingness to invest in the automation process in North American region. On the other hand, Brazil is anticipated to dominate the Latin America cloud computing market due to the developing IT sector in the country and increase in demand for automation process.
The report on cloud computing in industrial iot market is a comprehensive study and presentation of drivers, restraints, opportunities, demand factors, market size, forecasts, and trends in the global cloud computing in industrial iot market over the period of 2016 to 2024. Moreover, the report is collective presentation of primary and secondary research findings.
Porter's five forces model in the report provides insights into the competitive rivalry, supplier and buyer positions in the market and opportunities for the new entrants in the global cloud computing in industrial iot market over the period of 2016 to 2024. Further, IGR- Growth Matrix given in the report brings an insight on the investment areas that existing or new market players can consider.

Research Methodology
A) Primary Research
Our primary research involves extensive interviews and analysis of the opinions provided by the primary respondents. The primary research starts with identifying and approaching the primary respondents, the primary respondents are approached through
1. Key Opinion Leaders associated with Infinium Global Research
2. Internal and External subject matter experts
3. Professionals and participants from LinkedIn, Hoovers, Factiva and Bloggers
Our primary research respondents typically include
1. Executives working with leading companies in the market under review
2. Product/brand/marketing managers
3. CXO level executives
4. Regional/zonal/ country managers
5. Vice President level executives.
B) Secondary Research
Secondary research involves extensive exploring through the secondary sources of information available in both public domain and paid sources. At Infinium Global Research, each research study is based on over 500 hours of secondary research accompanied by primary research. The information obtained through the secondary sources is validated through the crosscheck on various data sources.
The secondary sources of the data typically include
1. Company reports and publications
2. Government/institutional publications
3. Trade and associations journals
4. Databases such as WTO, OECD, World Bank, and among others.
5. Websites and publications by research agencies

Segment Covered
The global cloud computing in industrial iot market is segmented on the basis of sensor type, model, cloud type and end user.

Global Cloud Computing In Industrial Iot Market by Sensor Type
Pressure Sensors
Optical Sensors
Proximity Sensor
Temperature Sensors
Global Cloud Computing In Industrial Iot Market by Model
Software As A Service (SaaS)
Infrastructure As A Service (IaaS)
Platform As A Service (PaaS)
Global Cloud Computing In Industrial Iot Market by Cloud Type
Private
Public
Hybrid
Global Cloud Computing In Industrial Iot Market by End User
Transportation
Energy
Oil And Gas
Healthcare
Manufacturing
Others(Minning And Agriculture)

Company Profiles
Microsoft Corporation
LosantIoT, Inc.
IROOTECH
Intel Corporation
IBM
Honeywell International Inc.
FUJITSU
CISCO
Amazon Web Services, Inc.
Iron Mountain Incorporated

How this report delivers?
1. Comprehensive analysis of global as well as regional markets of cloud computing in industrial iot market.
2. Complete coverage of all the segments in cloud computing in industrial iot market to analyze the trends, developments in the global market and forecast of market size up to 2024.
3. Comprehensive analysis of the companies operating in global cloud computing in industrial iot market. The company profile includes analysis of product portfolio, revenue, SWOT analysis and latest developments of the company.
4. IGR- Growth Matrix presents analysis of the product segments and geographies that market players should focus to invest, consolidate, expand and/or diversify.


The report on cloud computing in industrial iot market is a comprehensive study and presentation of drivers, restraints, opportunities, demand factors, market size, forecasts, and trends in the global cloud computing in industrial iot market over the period of 2016 to 2024. Moreover, the report is collective presentation of primary and secondary research findings.

1. Preface
1.1. Report Description
1.2. Research Methods
1.3. Research Approaches
2. Executive Summary
2.1. cloud computing in industrial IOT Market Highlights
2.2. cloud computing in industrial IOT Market Projection
2.3. cloud computing in industrial IOT Market Regional Highlights
3. Global Cloud Computing In Industrial IOT Market Overview
3.1. Introduction
3.2. Market Dynamics
3.2.1. Drivers
3.2.2. Restraints
3.2.3. Opportunities
3.3. Porter's Five Forces Analysis
3.4. IGR-Growth Matrix Analysis
3.4.1. IGR-Growth Matrix Analysis by Sensor Type
3.4.2. IGR-Growth Matrix Analysis by Model
3.4.3. IGR-Growth Matrix Analysis by Cloud Type
3.4.4. IGR-Growth Matrix Analysis by End User
3.4.5. IGR-Growth Matrix Analysis by Region
3.5. Value chain cloud computing in industrial IOT Market
3.6. Import-Export data matrix
4. Cloud Computing In Industrial IOT Market Macro Indicator Analysis
5. Global Cloud Computing in Industrial IOT Market by Sensor Type
5.1. Pressure Sensors
5.2. Optical Sensors
5.3. Proximity Sensor
5.4. Temperature Sensors
6. Global Cloud Computing in Industrial IOT Market by Model
6.1. Software As A Service (SaaS)
6.2. Infrastructure As A Service (IaaS)
6.3. Platform As A Service (PaaS)
7. Global Cloud Computing In Industrial IOT Market by Cloud Type
7.1. Private
7.2. Public
7.3. Hybrid
8. Global Cloud Computing In Industrial IOT Market by End User
8.1. Transportation
8.2. Energy
8.3. Oil And Gas
8.4. Healthcare
8.5. Manufacturing
8.6. Others(Minning And Agriculture)
9. Global Cloud Computing In Industrial IOT Market by Region 2016-2024
9.1. North America
9.1.1. North America Cloud Computing In Industrial IOT Market by Sensor Type
9.1.2. North America Cloud Computing In Industrial IOT Market by Model
9.1.3. North America Cloud Computing In Industrial IOT Market by Cloud Type
9.1.4. North America Cloud Computing In Industrial IOT Market by End User
9.1.5. North America Cloud Computing In Industrial IOT Market by Country
9.2. Europe
9.2.1. Europe Cloud Computing In Industrial IOT Market by Sensor Type
9.2.2. Europe Cloud Computing In Industrial IOT Market by Model
9.2.3. Europe Cloud Computing In Industrial IOT Market by Cloud Type
9.2.4. Europe Cloud Computing In Industrial IOT Market by End User
9.2.5. Europe Cloud Computing In Industrial IOT Market by Country
9.3. Asia-Pacific
9.3.1. Asia-Pacific Cloud Computing In Industrial IOT Market by Sensor Type
9.3.2. Asia-Pacific Cloud Computing In Industrial IOT Market by Model
9.3.3. Asia-Pacific Cloud Computing In Industrial IOT Market by Cloud Type
9.3.4. Asia-Pacific Cloud Computing In Industrial IOT Market by End User
9.3.5. Asia-Pacific Cloud Computing In Industrial IOT Market by Country
9.4. RoW
9.4.1. RoW Cloud Computing In Industrial IOT Market by Sensor Type
9.4.2. RoW Cloud Computing In Industrial IOT Market by Model
9.4.3. RoW Cloud Computing In Industrial IOT Market by Cloud Type
9.4.4. RoW Cloud Computing In Industrial IOT Market by End User
9.4.5. RoW Cloud Computing In Industrial IOT Market by Sub-region
10. Company profiles and competitive landscape
10.1. Competitive Landscape in the Global Cloud Computing In Industrial IOT Market
10.2. Companies Profiles
10.2.1. Microsoft Corporation
10.2.1.1. Overview
10.2.1.2. Company Snapshot
10.2.1.3. Financial Snapshot
10.2.1.4. Product portfolio
10.2.1.5. Recent developments
10.2.2. LosantIOT, Inc.
10.2.2.1. Overview
10.2.2.2. Company Snapshot
10.2.2.3. Financial Snapshot
10.2.2.4. Product portfolio
10.2.2.5. Recent developments
10.2.3. Irootech
10.2.3.1. Overview
10.2.3.2. Company Snapshot
10.2.3.3. Financial Snapshot
10.2.3.4. Product portfolio
10.2.3.5. Recent developments
10.2.4. Intel Corporation
10.2.4.1. Overview
10.2.4.2. Company Snapshot
10.2.4.3. Financial Snapshot
10.2.4.4. Product portfolio
10.2.4.5. Recent developments
10.2.5. Ibm
10.2.5.1. Overview
10.2.5.2. Company Snapshot
10.2.5.3. Financial Snapshot
10.2.5.4. Product portfolio
10.2.5.5. Recent developments
10.2.6. Honeywell International Inc.
10.2.6.1. Overview
10.2.6.2. Company Snapshot
10.2.6.3. Financial Snapshot
10.2.6.4. Product portfolio
10.2.6.5. Recent developments
10.2.7. Fujitsu
10.2.7.1. Overview
10.2.7.2. Company Snapshot
10.2.7.3. Financial Snapshot
10.2.7.4. Product portfolio
10.2.7.5. Recent developments
10.2.8. Cisco
10.2.8.1. Overview
10.2.8.2. Company Snapshot
10.2.8.3. Financial Snapshot
10.2.8.4. Product portfolio
10.2.8.5. Recent developments
10.2.9. Amazon Web Services, Inc.
10.2.9.1. Overview
10.2.9.2. Company Snapshot
10.2.9.3. Financial Snapshot
10.2.9.4. Product portfolio
10.2.9.5. Recent developments
10.2.10. Iron Mountain Incorporated
10.2.10.1. Overview
10.2.10.2. Company Snapshot
10.2.10.3. Financial Snapshot
10.2.10.4. Product portfolio
10.2.10.5. Recent developments
11. Appendix
11.1. Primary research findings and questionnaire

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