Edge Computing in IoT Market (Component: Hardware, Software, and Services; and End-user: Manufacturing, Healthcare, Retail & Consumer Goods, Transportation & Logistics, Energy & Utilities, and Others) - Global Industry Analysis, Size, Share, Growth, Trend

Edge Computing in IoT Market – Scope of Report


TMR’s report on the global Edge Computing in IoT Market studies the past as well as the current growth trends and opportunities to gain valuable insights of the indicators of the market during the forecast period from 2023 to 2031. The report provides revenue of the global Edge Computing in IoT Market for the period 2017–2031, considering 2023 as the base year and 2031 as the forecast year. The report also provides the compound annual growth rate (CAGR %) of the global Edge Computing in IoT Market from 2023 to 2031.

The report has been prepared after an extensive research. Primary research involved bulk of the research efforts, wherein analysts carried out interviews with key opinion leaders, industry leaders, and opinion makers. Secondary research involved referring to key players’ product literature, annual reports, press releases, and relevant documents to understand the Plasmonic Materials market.

Secondary research also included Internet sources, statistical data from government agencies, websites, and trade associations. Analysts employed a combination of top-down and bottom-up approaches to study various attributes of the global Plasmonic Materials market.

The report includes an elaborate executive summary, along with a snapshot of the growth behavior of various segments included in the scope of the study. Moreover, the report throws light on the changing competitive dynamics in the global Plasonic Materials market. These serve as valuable tools for existing market players as well as for entities interested in participating in the global Plasmonic Materials market.

The report delves into the competitive landscape of the global Plasmonic Materials market. Key players operating in the global Edge Computing in IoT Market have been identified and each one of these has been profiled in terms of various attributes. Company overview, financial standings, recent developments, and SWOT are the attributes of players in the global Edge Computing in IoT Market profiled in this report.

Key Questions Answered in Global Edge Computing in IoT Market Report

  • What is the sales/revenue generated by Plasmonic Materials across all regions during the forecast period?
  • What are the opportunities in the global Plasmonic Materials market?
  • What are the major drivers, restraints, opportunities, and threats in the market?
  • Which regional market is set to expand at the fastest CAGR during the forecast period?
  • Which segment is expected to generate the highest revenue globally in 2031?
  • Which segment is projected to expand at the highest CAGR during the forecast period?
  • What are the market positions of different companies operating in the global market?

Edge Computing in IoT Market – Research Objectives and Research Approach


The comprehensive report on the global Edge Computing in IoT Market begins with an overview, followed by the scope and objectives of the study. The report provides detailed explanation of the objectives behind this study and key vendors and distributors operating in the market and regulatory scenario for approval of products.

For reading comprehensibility, the report has been compiled in a chapter-wise layout, with each section divided into smaller ones. The report comprises an exhaustive collection of graphs and tables that are appropriately interspersed. Pictorial representation of actual and projected values of key segments is visually appealing to readers. This also allows comparison of the market shares of key segments in the past and at the end of the forecast period.

The report analyzes the global Edge Computing in IoT Market in terms of product, end-user, and region. Key segments under each criterion have been studied at length, and the market share for each of these at the end of 2031 has been provided. Such valuable insights enable market stakeholders in making informed business decisions for investment in the global Plasmonic Materials market.

Edge Computing in IoT Market – Scope of Report


TMR’s report on the global Edge Computing in IoT Market studies the past as well as the current growth trends and opportunities to gain valuable insights of the indicators of the market during the forecast period from 2023 to 2031. The report provides revenue of the global Edge Computing in IoT Market for the period 2017–2031, considering 2023 as the base year and 2031 as the forecast year. The report also provides the compound annual growth rate (CAGR %) of the global Edge Computing in IoT Market from 2023 to 2031.

The report has been prepared after an extensive research. Primary research involved bulk of the research efforts, wherein analysts carried out interviews with key opinion leaders, industry leaders, and opinion makers. Secondary research involved referring to key players’ product literature, annual reports, press releases, and relevant documents to understand the Plasmonic Materials market.

Secondary research also included Internet sources, statistical data from government agencies, websites, and trade associations. Analysts employed a combination of top-down and bottom-up approaches to study various attributes of the global Plasmonic Materials market.

The report includes an elaborate executive summary, along with a snapshot of the growth behavior of various segments included in the scope of the study. Moreover, the report throws light on the changing competitive dynamics in the global Plasonic Materials market. These serve as valuable tools for existing market players as well as for entities interested in participating in the global Plasmonic Materials market.

The report delves into the competitive landscape of the global Plasmonic Materials market. Key players operating in the global Edge Computing in IoT Market have been identified and each one of these has been profiled in terms of various attributes. Company overview, financial standings, recent developments, and SWOT are the attributes of players in the global Edge Computing in IoT Market profiled in this report.

Key Questions Answered in Global Edge Computing in IoT Market Report

  • What is the sales/revenue generated by Plasmonic Materials across all regions during the forecast period?
  • What are the opportunities in the global Plasmonic Materials market?
  • What are the major drivers, restraints, opportunities, and threats in the market?
  • Which regional market is set to expand at the fastest CAGR during the forecast period?
  • Which segment is expected to generate the highest revenue globally in 2031?
  • Which segment is projected to expand at the highest CAGR during the forecast period?
  • What are the market positions of different companies operating in the global market?

Edge Computing in IoT Market – Research Objectives and Research Approach


The comprehensive report on the global Edge Computing in IoT Market begins with an overview, followed by the scope and objectives of the study. The report provides detailed explanation of the objectives behind this study and key vendors and distributors operating in the market and regulatory scenario for approval of products.

For reading comprehensibility, the report has been compiled in a chapter-wise layout, with each section divided into smaller ones. The report comprises an exhaustive collection of graphs and tables that are appropriately interspersed. Pictorial representation of actual and projected values of key segments is visually appealing to readers. This also allows comparison of the market shares of key segments in the past and at the end of the forecast period.

The report analyzes the global Edge Computing in IoT Market in terms of product, end-user, and region. Key segments under each criterion have been studied at length, and the market share for each of these at the end of 2031 has been provided. Such valuable insights enable market stakeholders in making informed business decisions for investment in the global Plasmonic Materials market.


1. Preface
1.1. Market Introduction
1.2. Market Segmentation
1.3. Key Research Objectives
2. Assumptions and Research Methodology
2.1. Research Methodology
2.1.1. List of Primary and Secondary Sources
2.2. Key Assumptions for Data Modelling
3. Executive Summary: Global Edge Computing in IoT Market
4. Market Overview
4.1. Market Definition
4.2. Technology/ Product Roadmap
4.3. Market Factor Analysis
4.3.1. Forecast Factors
4.3.2. Ecosystem/ Value Chain Analysis
4.3.3. Market Dynamics (Growth Influencers)
4.3.3.1. Drivers
4.3.3.2. Restraints
4.3.3.3. Opportunities
4.3.3.4. Impact Analysis of Drivers and Restraints
4.4. COVID-19 Impact Analysis
4.4.1. Impact of COVID-19 on Edge Computing in IoT Market
4.5. Market Opportunity Assessment – by Region (North America/ Europe/ Asia Pacific/ Middle East & Africa/ South America)
4.5.1. By Component
4.5.2. By Enterprise Size
4.5.3. By End-user
4.6. Porter’s Five Forces Analysis
4.7. PEST Analysis
4.8. Edge Computing in IoT Use-cases
5. Global Edge Computing in IoT Market Analysis and Forecast
5.1. Market Revenue Analysis (US$ Mn), 2017-2031
5.1.1. Historic Growth Trends, 2017-2022
5.1.2. Forecast Trends, 2023-2031
6. Global Edge Computing in IoT Market Analysis, by Component
6.1. Overview and Definitions
6.2. Key Segment Analysis
6.3. Edge Computing in IoT Market Size (US$ Mn) Forecast, by Component, 2018 - 2031
6.3.1. Hardware
6.3.2. Software
6.3.3. Services
7. Global Edge Computing in IoT Market Analysis, by Enterprise Size
7.1. Overview and Definitions
7.2. Key Segment Analysis
7.3. Edge Computing in IoT Market Size (US$ Mn) Forecast, by Enterprise Size, 2018 - 2031
7.3.1. SMEs
7.3.2. Large Enterprises
8. Global Edge Computing in IoT Market Analysis, by End-user
8.1. Overview and Definitions
8.2. Key Segment Analysis
8.3. Edge Computing in IoT Market Size (US$ Mn) Forecast, by End-user, 2018 - 2031
8.3.1. Manufacturing
8.3.2. Healthcare
8.3.3. Retail & Consumer Goods
8.3.4. Transportation & Logistics
8.3.5. Energy & Utilities
8.3.6. Others
9. Global Edge Computing in IoT Market Analysis and Forecasts, by Region
9.1. Key Findings
9.2. Market Size (US$ Mn) Forecast by Region, 2018-2031
9.2.1. North America
9.2.2. Europe
9.2.3. Asia Pacific
9.2.4. Middle East & Africa
9.2.5. South America
10. North America Edge Computing in IoT Market Analysis and Forecast
10.1. Regional Outlook
10.2. Edge Computing in IoT Market Size (US$ Mn) Analysis and Forecast, 2018 - 2031
10.2.1. By Component
10.2.2. By Enterprise Size
10.2.3. By End-user
10.3. Edge Computing in IoT Market Size (US$ Mn) Forecast, by Country, 2018 - 2031
10.3.1. U.S.
10.3.2. Canada
10.3.3. Mexico
11. Europe Edge Computing in IoT Market Analysis and Forecast
11.1. Regional Outlook
11.2. Edge Computing in IoT Market Size (US$ Mn) Analysis and Forecast, 2018 - 2031
11.2.1. By Component
11.2.2. By Enterprise Size
11.2.3. By End-user
11.3. Edge Computing in IoT Market Size (US$ Mn) Forecast, by Country/Sub-region, 2018 - 2031
11.3.1. Germany
11.3.2. UK
11.3.3. France
11.3.4. Italy
11.3.5. Spain
11.3.6. Rest of Europe
12. Asia Pacific Edge Computing in IoT Market Analysis and Forecast
12.1. Regional Outlook
12.2. Edge Computing in IoT Market Size (US$ Mn) Analysis and Forecast, 2018 - 2031
12.2.1. By Component
12.2.2. By Enterprise Size
12.2.3. By End-user
12.3. Edge Computing in IoT Market Size (US$ Mn) Forecast, by Country/Sub-region, 2018 - 2031
12.3.1. China
12.3.2. India
12.3.3. Japan
12.3.4. ASEAN
12.3.5. Rest of Asia Pacific
13. Middle East & Africa Edge Computing in IoT Market Analysis and Forecast
13.1. Regional Outlook
13.2. Edge Computing in IoT Market Size (US$ Mn) Analysis and Forecast, 2018 - 2031
13.2.1. By Component
13.2.2. By Enterprise Size
13.2.3. By End-user
13.3. Edge Computing in IoT Market Size (US$ Mn) Forecast, by Country/Sub-region, 2018 - 2031
13.3.1. Saudi Arabia
13.3.2. The United Arab Emirates
13.3.3. South Africa
13.3.4. Rest of Middle East & Africa
14. South America Edge Computing in IoT Market Analysis and Forecast
14.1. Regional Outlook
14.2. Edge Computing in IoT Market Size (US$ Mn) Analysis and Forecast, 2018 - 2031
14.2.1. By Component
14.2.2. By Enterprise Size
14.2.3. By End-user
14.3. Edge Computing in IoT Market Size (US$ Mn) Forecast, by Country/Sub-region, 2018 - 2031
14.3.1. Brazil
14.3.2. Argentina
14.3.3. Rest of South America
15. Competition Landscape
15.1. Market Competition Matrix, by Leading Players
15.2. Competitive Landscape by Tier Structure of Companies
15.3. Scale of Competition, 2022
15.4. Scale of Competition at Regional Level, 2022
15.5. Market Revenue Share Analysis (%), by Leading Players (2022)
15.6. List of Startups
15.7. Competition Evolution
15.8. Major Mergers & Acquisitions, Expansions, Partnership, Contacts, Deals, etc.
16. Company Profiles
16.1. Microsoft Corporation
16.1.1. Business Overview
16.1.2. Company Revenue
16.1.3. Product Portfolio
16.1.4. Geographic Footprint
16.1.5. Recent Developments
16.1.6. Impact of COVID-19
16.1.7. TMR View
16.1.8. Competitive Threats and Weakness
16.2. Amazon Web Services, Inc.
16.2.1. Business Overview
16.2.2. Company Revenue
16.2.3. Product Portfolio
16.2.4. Geographic Footprint
16.2.5. Recent Developments
16.2.6. Impact of COVID-19
16.2.7. TMR View
16.2.8. Competitive Threats and Weakness
16.3. Google LLC.
16.3.1. Business Overview
16.3.2. Company Revenue
16.3.3. Product Portfolio
16.3.4. Geographic Footprint
16.3.5. Recent Developments
16.3.6. Impact of COVID-19
16.3.7. TMR View
16.3.8. Competitive Threats and Weakness
16.4. Dell Inc.
16.4.1. Business Overview
16.4.2. Company Revenue
16.4.3. Product Portfolio
16.4.4. Geographic Footprint
16.4.5. Recent Developments
16.4.6. Impact of COVID-19
16.4.7. TMR View
16.4.8. Competitive Threats and Weakness
16.5. Cisco Systems, Inc.
16.5.1. Business Overview
16.5.2. Company Revenue
16.5.3. Product Portfolio
16.5.4. Geographic Footprint
16.5.5. Recent Developments
16.5.6. Impact of COVID-19
16.5.7. TMR View
16.5.8. Competitive Threats and Weakness
16.6. IBM Corporation
16.6.1. Business Overview
16.6.2. Company Revenue
16.6.3. Product Portfolio
16.6.4. Geographic Footprint
16.6.5. Recent Developments
16.6.6. Impact of COVID-19
16.6.7. TMR View
16.6.8. Competitive Threats and Weakness
16.7. NVIDIA Corporation
16.7.1. Business Overview
16.7.2. Company Revenue
16.7.3. Product Portfolio
16.7.4. Geographic Footprint
16.7.5. Recent Developments
16.7.6. Impact of COVID-19
16.7.7. TMR View
16.7.8. Competitive Threats and Weakness
16.8. Intel Corporation
16.8.1. Business Overview
16.8.2. Company Revenue
16.8.3. Product Portfolio
16.8.4. Geographic Footprint
16.8.5. Recent Developments
16.8.6. Impact of COVID-19
16.8.7. TMR View
16.8.8. Competitive Threats and Weakness
16.9. Huawei Technologies Co., Ltd.
16.9.1. Business Overview
16.9.2. Company Revenue
16.9.3. Product Portfolio
16.9.4. Geographic Footprint
16.9.5. Recent Developments
16.9.6. Impact of COVID-19
16.9.7. TMR View
16.9.8. Competitive Threats and Weakness
16.10. Siemens
16.10.1. Business Overview
16.10.2. Company Revenue
16.10.3. Product Portfolio
16.10.4. Geographic Footprint
16.10.5. Recent Developments
16.10.6. Impact of COVID-19
16.10.7. TMR View
16.10.8. Competitive Threats and Weakness
16.11. VMware, Inc.
16.11.1. Business Overview
16.11.2. Company Revenue
16.11.3. Product Portfolio
16.11.4. Geographic Footprint
16.11.5. Recent Developments
16.11.6. Impact of COVID-19
16.11.7. TMR View
16.11.8. Competitive Threats and Weakness
16.12. Schneider Electric
16.12.1. Business Overview
16.12.2. Company Revenue
16.12.3. Product Portfolio
16.12.4. Geographic Footprint
16.12.5. Recent Developments
16.12.6. Impact of COVID-19
16.12.7. TMR View
16.12.8. Competitive Threats and Weakness
16.13. Red Hat, Inc.
16.13.1. Business Overview
16.13.2. Company Revenue
16.13.3. Product Portfolio
16.13.4. Geographic Footprint
16.13.5. Recent Developments
16.13.6. Impact of COVID-19
16.13.7. TMR View
16.13.8. Competitive Threats and Weakness
16.14. Others
16.14.1. Business Overview
16.14.2. Company Revenue
16.14.3. Product Portfolio
16.14.4. Geographic Footprint
16.14.5. Recent Developments
16.14.6. Impact of COVID-19
16.14.7. TMR View
16.14.8. Competitive Threats and Weakness
17. Key Takeaways

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