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Global Cloud Computing in Industrial IoT AI Market (2023-2028) Competitive Analysis, Impact of Economic Slowdown & Impending Recession, Ansoff Analysis

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    Report

  • 217 Pages
  • February 2024
  • Region: Global
  • Infogence Global Research
  • ID: 5753586
The Global Cloud Computing in Industrial IoT AI Market is estimated to be USD 82.4 Bn in 2023 and is expected to reach USD 189.24 Bn by 2028 growing at a CAGR of 18.09%.

Market Dynamics

Market dynamics are forces that impact the prices and behaviors of the stakeholders. These forces create pricing signals which result from the changes in the supply and demand curves for a given product or service. Forces of Market Dynamics may be related to macroeconomic and microeconomic factors. There are dynamic market forces other than price, demand, and supply. Human emotions can also drive decisions, influence the market, and create price signals.

As the market dynamics impact the supply and demand curves, decision-makers aim to determine the best way to use various financial tools to stem various strategies for speeding growth and reducing the risks.

Market Segmentations

  • The Global Cloud Computing in Industrial IoT AI Market is segmented based on Cloud Type, Sensor Type, Model, End-User, and Geography.
  • By Cloud Type, the market is classified into Hybrid, Private, and Public.
  • By Sensor Type, the market is classified into Optical Sensors, Pressure Sensors, Proximity Sensors, and Temperature Sensors.
  • By Model, the market is classified into Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
  • By End-User, the market is classified into Energy, Healthcare, Manufacturing, Mining and Agriculture, Oil and Gas, and Transportation.
  • By Geography, the market is classified into the Americas, Europe, Middle East & Africa, and Asia-Pacific.

Company Profiles

The report provides a detailed analysis of the competitors in the market. It covers the financial performance analysis for publicly listed companies in the market. The report also offers detailed information on the companies' recent development and competitive scenario. Some of the companies covered in this report are Amazon Web Services, Inc. (Amazon), Cisco, Fujitsu, Honeywell International Inc., IBM, Intel Corp., Iron Mountain, Inc., etc.
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Countries Studied

  • America (Argentina, Brazil, Canada, Chile, Colombia, Mexico, Peru, United States, Rest of Americas)
  • Europe (Austria, Belgium, Denmark, Finland, France, Germany, Italy, Netherlands, Norway, Poland, Russia, Spain, Sweden, Switzerland, United Kingdom, Rest of Europe)
  • Middle-East and Africa (Egypt, Israel, Qatar, Saudi Arabia, South Africa, United Arab Emirates, Rest of MEA)
  • Asia-Pacific (Australia, Bangladesh, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Sri Lanka, Thailand, Taiwan, Rest of Asia-Pacific)

Competitive Quadrant

The report includes Competitive Quadrant, a proprietary tool to analyze and evaluate the position of companies based on their Industry Position score and Market Performance score. The tool uses various factors for categorizing the players into four categories. Some of these factors considered for analysis are financial performance over the last 3 years, growth strategies, innovation score, new product launches, investments, growth in market share, etc.

Ansoff Analysis

  • The report presents a detailed Ansoff matrix analysis for the Global Cloud Computing in Industrial IoT AI Market. Ansoff Matrix, also known as the Product/Market Expansion Grid, is a strategic tool used to design strategies for the growth of the company. The matrix can be used to evaluate approaches in four strategies viz. Market Development, Market Penetration, Product Development, and Diversification. The matrix is also used for risk analysis to understand the risk involved with each approach.
  • The publisher analyses the Global Cloud Computing in Industrial IoT AI Market using the Ansoff Matrix to provide the best approaches a company can take to improve its market position.
  • Based on the SWOT analysis conducted on the industry and industry players, the publisher has devised suitable strategies for market growth.

Why buy this report?

  • The report offers a comprehensive evaluation of Global Cloud Computing in the Industrial IoT AI Market. The report includes in-depth qualitative analysis, verifiable data from authentic sources, and projections about market size. The projections are calculated using proven research methodologies.
  • The report has been compiled through extensive primary and secondary research. The primary research is done through interviews, surveys, and observation of renowned personnel in the industry.
  • The report includes an in-depth market analysis using Porter’s 5 forces model, PESTLE Analysis, and the Ansoff Matrix. In addition, the impact of COVID-19 and the impact of economic slowdown & impending recession on the market are also featured in the report.
  • The report also includes the regulatory scenario in the industry, which will help you make a well-informed decision. The report discusses major regulatory bodies and major rules and regulations imposed on this sector across various geographies.
  • The report also contains the competitive analysis using Positioning Quadrants, the Proprietary competitive positioning tool.

Report Highlights:

  • A complete analysis of the market, including parent industry
  • Important market dynamics and trends
  • Market segmentation
  • Historical, current, and projected size of the market based on value and volume
  • Market shares and strategies of key players
  • Recommendations to companies for strengthening their foothold in the market

Table of Contents

1 Report Description
1.1 Study Objectives
1.2 Market Definition
1.3 Currency
1.4 Years Considered
1.5 Language
1.6 Key Stakeholders
2 Research Methodology
2.1 Research Process
2.2 Data Collection and Validation
2.2.1 Secondary Research
2.2.2 Primary Research
2.2.3 Models
2.3 Market Size Estimation
2.3.1 Bottom-Up Approach
2.3.2 Top-Down Approach
2.4 Assumptions of the Study
2.5 Limitations of the Study
3 Executive Summary
3.1 Introduction
3.2 Market Size, Segmentations, and Outlook
4 Market Dynamics
4.1 Drivers
4.1.1 Surge in Wireless Networking Technologies
4.1.2 Increase in the Number of Data Centres
4.1.3 Increasing Use of Cloud Computing Platforms and Automation
4.2 Restraints
4.2.1 High Initial Cost
4.2.2 Lack of Standardization in Cloud and IoT
4.3 Opportunities
4.3.1 Continuous R&D Activities for New Product Development
4.3.2 Requirement of Innovative Cross-Domain Expertise and Collaboration for the Development of Comprehensive Systems and Solutions
4.4 Challenges
4.4.1 Data Security and Privacy Breaches
5 Market Analysis
5.1 Regulatory Scenario
5.2 Porter's Five Forces Analysis
5.3 PESTLE Analysis
5.4 SWOT Analysis
5.5 Impact of Covid-19
5.6 Impact of Economic Slowdown & Impending Recession
5.7 Ansoff Matrix Analysis
6 Global Cloud Computing in Industrial IoT AI Market, By Sensor Type
6.1 Introduction
6.2 Optical Sensors
6.3 Pressure Sensors
6.4 Proximity Sensor
6.5 Temperature Sensors
7 Global Cloud Computing in Industrial IoT AI 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 Global Cloud Computing in Industrial IoT AI Market, By Cloud Type
8.1 Introduction
8.2 Hybrid
8.3 Private
8.4 Public
9 Global Cloud Computing in Industrial IoT AI Market, By End-User
9.1 Introduction
9.2 Energy
9.3 Healthcare
9.4 Manufacturing
9.5 Mining and Agriculture
9.6 Oil and Gas
9.7 Transportation
10 Americas' Cloud Computing in Industrial IoT AI Market
10.1 Introduction
10.2 Argentina
10.3 Brazil
10.4 Canada
10.5 Chile
10.6 Colombia
10.7 Mexico
10.8 Peru
10.9 United States
10.10 Rest of Americas
11 Europe's Cloud Computing in Industrial IoT AI Market
11.1 Introduction
11.2 Austria
11.3 Belgium
11.4 Denmark
11.5 Finland
11.6 France
11.7 Germany
11.8 Italy
11.9 Netherlands
11.10 Norway
11.11 Poland
11.12 Russia
11.13 Spain
11.14 Sweden
11.15 Switzerland
11.16 United Kingdom
11.17 Rest of Europe
12 Middle East and Africa’s Cloud Computing in Industrial IoT AI Market
12.1 Introduction
12.2 Egypt
12.3 Israel
12.4 Qatar
12.5 Saudi Arabia
12.6 South Africa
12.7 United Arab Emirates
12.8 Rest of MEA
13 APAC's Cloud Computing in Industrial IoT AI Market
13.1 Introduction
13.2 Australia
13.3 Bangladesh
13.4 China
13.5 India
13.6 Indonesia
13.7 Japan
13.8 Malaysia
13.9 Philippines
13.10 Singapore
13.11 South Korea
13.12 Sri Lanka
13.13 Thailand
13.14 Taiwan
13.15 Rest of Asia-Pacific
14 Competitive Landscape
14.1 Competitive Quadrant
14.2 Market Share Analysis
14.3 Strategic Initiatives
14.3.1 M&A and Investments
14.3.2 Partnerships and Collaborations
14.3.3 Product Developments and Improvements
15 Company Profiles
15.1 Amazon Web Services, Inc. (AWS)
15.2 Cisco Systems, Inc.
15.3 Cority
15.4 DXC Technologies
15.5 Fogwing
15.6 Fujitsu Ltd.
15.7 General Electric
15.8 Google LLC
15.9 Honeywell International Inc.
15.10 IBM Corp.
15.11 Intel Corp.
15.12 Iron Mountain Inc.
15.13 IROOTECH
15.14 LosantIOT, Inc.
15.15 Microsoft Corp. Oracle
15.16 Oracle Corp.
15.17 Salesforce, Inc.
15.18 Schneider Electric SE
15.19 Wolters Kluwer N.V.
16 Appendix
16.1 Questionnaire

Companies Mentioned

  • Amazon Web Services, Inc. (AWS)
  • Cisco Systems, Inc.
  • Cority
  • DXC Technologies
  • Fogwing
  • Fujitsu Ltd.
  • General Electric
  • Google LLC
  • Honeywell International Inc.
  • IBM Corp.
  • Intel Corp.
  • Iron Mountain Inc.
  • IROOTECH
  • LosantIOT, Inc.
  • Microsoft Corp. Oracle
  • Oracle Corp.
  • Salesforce, Inc.
  • Schneider Electric SE
  • Wolters Kluwer N.V.

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