Insights on the Cloud Computing in Industrial IOT Global Market to 2026 - Featuring Cisco, Fujitsu and IBM Among Others


Dublin, Dec. 07, 2021 (GLOBE NEWSWIRE) -- The "Cloud Computing in Industrial IOT Market Research Report by Sensor Type, Model, Cloud Type, End-user, and Region - Global Forecast to 2026 - Cumulative Impact of COVID-19" report has been added to's offering.

The Global Cloud Computing in Industrial IOT Market size was estimated at USD 4,365.98 million in 2020, is expected to reach USD 4,830.80 million in 2021, and projected to grow at a CAGR of 10.98% reaching USD 8,159.46 million by 2026.

Market Statistics

The report provides market sizing and forecast across five major currencies - USD, EUR GBP, JPY, and AUD. It helps organization leaders make better decisions when currency exchange data is readily available. In this report, the years 2018 and 2019 are considered historical years, 2020 as the base year, 2021 as the estimated year, and years from 2022 to 2026 are considered the forecast period.

Market Segmentation & Coverage

This research report categorizes the Cloud Computing in Industrial IOT to forecast the revenues and analyze the trends in each of the following sub-markets:

  • Based on Sensor Type, the market was studied across Optical Sensors, Pressure Sensors, Proximity Sensor, and Temperature Sensors.
  • Based on Model, the market was studied across Infrastructure As A Service (IaaS), Platform As A Service (PaaS), and Software As A Service (SaaS).
  • Based on Cloud Type, the market was studied across Hybrid, Private, and Public.
  • Based on End-user, the market was studied across Energy, Healthcare, Manufacturing, Minning And Agriculture, Oil And Gas, and Transportation.
  • Based on Region, the market was studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, and Thailand. The Europe, Middle East & Africa is further studied across France, Germany, Italy, Netherlands, Qatar, Russia, Saudi Arabia, South Africa, Spain, United Arab Emirates, and United Kingdom.

Competitive Strategic Window

The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies to help the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. It describes the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth during a forecast period.

FPNV Positioning Matrix

The FPNV Positioning Matrix evaluates and categorizes the vendors in the Cloud Computing in Industrial IOT Market based on Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.

Market Share Analysis

The Market Share Analysis offers the analysis of vendors considering their contribution to the overall market. It provides the idea of its revenue generation into the overall market compared to other vendors in the space. It provides insights into how vendors are performing in terms of revenue generation and customer base compared to others. Knowing market share offers an idea of the size and competitiveness of the vendors for the base year. It reveals the market characteristics in terms of accumulation, fragmentation, dominance, and amalgamation traits.

Company Usability Profiles

The report profoundly explores the recent significant developments by the leading vendors and innovation profiles in the Global Cloud Computing in Industrial IOT Market, including Amazon Web Services, Inc., Cisco, Fujitsu, Honeywell International Inc., Ibm, Intel Corporation, Iron Mountain Incorporated, Irootech, LosantIOT, Inc., and Microsoft Corporation.

The report provides insights on the following pointers:
1. Market Penetration: Provides comprehensive information on the market offered by the key players
2. Market Development: Provides in-depth information about lucrative emerging markets and analyze penetration across mature segments of the markets
3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments
4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players
5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and breakthrough product developments

The report answers questions such as:
1. What is the market size and forecast of the Global Cloud Computing in Industrial IOT Market?
2. What are the inhibiting factors and impact of COVID-19 shaping the Global Cloud Computing in Industrial IOT Market during the forecast period?
3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Cloud Computing in Industrial IOT Market?
4. What is the competitive strategic window for opportunities in the Global Cloud Computing in Industrial IOT Market?
5. What are the technology trends and regulatory frameworks in the Global Cloud Computing in Industrial IOT Market?
6. What is the market share of the leading vendors in the Global Cloud Computing in Industrial IOT Market?
7. What modes and strategic moves are considered suitable for entering the Global Cloud Computing in Industrial IOT Market?

Key Topics Covered:

1. Preface

2. Research Methodology

3. Executive Summary

4. Market Overview
4.1. Introduction
4.2. Cumulative Impact of COVID-19

5. Market Dynamics
5.1. Introduction
5.2. Drivers
5.2.1. Increased use of cloud computing platforms
5.2.2. Technological advancements in semiconductor and electronic devices
5.2.3. Support from governments of different countries for R&D activities related to IIoT
5.3. Restraints
5.3.1. High initial cost
5.3.2. Lack of standardization in communication protocols
5.4. Opportunities
5.4.1. Reduction in the cost of connected devices
5.4.2. Increase in number of data centers
5.4.3. Requirement of innovative cross-domain expertise and collaborations for development of comprehensive systems and solutions
5.5. Challenges
5.5.1. Data security and privacy breaches

6. Cloud Computing in Industrial IOT Market, by Sensor Type
6.1. Introduction
6.2. Optical Sensors
6.3. Pressure Sensors
6.4. Proximity Sensor
6.5. Temperature Sensors

7. Cloud Computing in Industrial IOT Market, by Model
7.1. Introduction
7.2. Infrastructure As A Service (IaaS)
7.3. Platform As A Service (PaaS)
7.4. Software As A Service (SaaS)

8. Cloud Computing in Industrial IOT Market, by Cloud Type
8.1. Introduction
8.2. Hybrid
8.3. Private
8.4. Public

9. Cloud Computing in Industrial IOT Market, by End-user
9.1. Introduction
9.2. Energy
9.3. Healthcare
9.4. Manufacturing
9.5. Minning And Agriculture
9.6. Oil And Gas
9.7. Transportation

10. Americas Cloud Computing in Industrial IOT Market
10.1. Introduction
10.2. Argentina
10.3. Brazil
10.4. Canada
10.5. Mexico
10.6. United States

11. Asia-Pacific Cloud Computing in Industrial IOT Market
11.1. Introduction
11.2. Australia
11.3. China
11.4. India
11.5. Indonesia
11.6. Japan
11.7. Malaysia
11.8. Philippines
11.9. Singapore
11.10. South Korea
11.11. Taiwan
11.12. Thailand

12. Europe, Middle East & Africa Cloud Computing in Industrial IOT Market
12.1. Introduction
12.2. France
12.3. Germany
12.4. Italy
12.5. Netherlands
12.6. Qatar
12.7. Russia
12.8. Saudi Arabia
12.9. South Africa
12.10. Spain
12.11. United Arab Emirates
12.12. United Kingdom

13. Competitive Landscape
13.1. FPNV Positioning Matrix
13.1.1. Quadrants
13.1.2. Business Strategy
13.1.3. Product Satisfaction
13.2. Market Ranking Analysis
13.3. Market Share Analysis, by Key Player
13.4. Competitive Scenario
13.4.1. Merger & Acquisition
13.4.2. Agreement, Collaboration, & Partnership
13.4.3. New Product Launch & Enhancement
13.4.4. Investment & Funding
13.4.5. Award, Recognition, & Expansion

14. Company Usability Profiles
14.1. Amazon Web Services, Inc.
14.2. Cisco
14.3. Fujitsu
14.4. Honeywell International Inc.
14.5. Ibm
14.6. Intel Corporation
14.7. Iron Mountain Incorporated
14.8. Irootech
14.9. LosantIOT, Inc.
14.10. Microsoft Corporation

15. Appendix

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