Artificial Intelligence (AI) Edge Computing Market Size and Forecasts (2021 - 2031), Global and Regional Share, Trends, and Growth Opportunity Analysis
Edge AI combines Artificial Intelligence and edge computing. The AI algorithms are run on devices capable of edge computing. The advantage of this is that the data can be processed in real-time, without having to connect to a cloud. Edge AI devices include smart speakers, smart phones, laptops, robots, self-driven cars, drones, and surveillance cameras that use video analytics.
MARKET SCOPE
The "Global Artificial Intelligence (AI) Edge Computing Analysis to 2031" is a specialized and in-depth study of the electronics and semiconductor industry with a special focus on the global market trend analysis. The report aims to provide an overview of the artificial intelligence (AI) edge computing market with detailed market segmentation by offering, end-user, and geography. The report provides key statistics on the market status of the leading artificial intelligence (AI) edge computing market players and offers key trends and opportunities in the market.
MARKET SEGMENTATION
- Based on offering, the global artificial intelligence (AI) edge computing is segmented into hardware, solutions, and services.
- On the basis of end-user, the market is segmented into manufacturing, healthcare, transportation, government, media and entertainment, energy and utilities, telecom and IT, retail, and others.
MARKET DYNAMICS
Drivers:
- Rapid growth in the number of intelligent applications.
Restraints
- Privacy and security concerns related to edge AI solutions.
REGIONAL FRAMEWORK
The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides an overview and forecast of the global market based on various segments. It also provides market size and forecast estimates from the year 2021 to 2031 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), the Middle East and Africa (MEA), and South America. The artificial intelligence (AI) edge computing market by each region is later sub-segmented by respective countries and segments. The report covers the analysis and forecast of 18 countries globally along with the current trend and opportunities prevailing in the region.
The report analyzes factors affecting the market from both demand and supply side and further evaluates market dynamics affecting the marketduring the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA, and South America after evaluating political, economic, social and technological factors affecting the artificial intelligence (AI) edge computing market in these regions.
IMPACT OF COVID-19 ON ARTIFICIAL INTELLIGENCE (AI) EDGE COMPUTING MARKET
COVID-19 first began in Wuhan (China) during December 2019 and since then it has spread at a fast pace across the globe. The US, India, Brazil, Russia, France, the UK, Turkey, Italy, and Spain are some of the worst affected countries in terms confirmed cases and reported deaths. The COVID-19 has been affecting economies and industries in various countries due to lockdowns, travel bans, and business shutdowns. Shutdown of various plants and factories has affected the global supply chains and negatively impacted the manufacturing, delivery schedules, and sales of products in global market. Few companies have already announced possible delays in product deliveries and slump in future sales of their products. In addition to this, the global travel bans imposed by countries in Europe, Asia-Pacific, and North America are affecting the business collaborations and partnerships opportunities.
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- Sample PDF showcases the content structure and the nature of the information with qualitative and quantitative analysis.
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The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides an overview and forecast of the global market based on various segments. It also provides market size and forecast estimates from the year 2021 to 2031 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), the Middle East and Africa (MEA), and South America. The artificial intelligence (AI) edge computing market by each region is later sub-segmented by respective countries and segments. The report covers the analysis and forecast of 18 countries globally along with the current trend and opportunities prevailing in the region.
The report analyzes factors affecting the market from both demand and supply side and further evaluates market dynamics affecting the marketduring the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA, and South America after evaluating political, economic, social and technological factors affecting the artificial intelligence (AI) edge computing market in these regions.
IMPACT OF COVID-19 ON ARTIFICIAL INTELLIGENCE (AI) EDGE COMPUTING MARKET
COVID-19 first began in Wuhan (China) during December 2019 and since then it has spread at a fast pace across the globe. The US, India, Brazil, Russia, France, the UK, Turkey, Italy, and Spain are some of the worst affected countries in terms confirmed cases and reported deaths. The COVID-19 has been affecting economies and industries in various countries due to lockdowns, travel bans, and business shutdowns. Shutdown of various plants and factories has affected the global supply chains and negatively impacted the manufacturing, delivery schedules, and sales of products in global market. Few companies have already announced possible delays in product deliveries and slump in future sales of their products. In addition to this, the global travel bans imposed by countries in Europe, Asia-Pacific, and North America are affecting the business collaborations and partnerships opportunities.
MARKET PLAYERS
The report covers key developments in the artificial intelligence (AI) edge computing as organic and inorganic growth strategies. Various companies are focusing on organic growth strategies such as product launches, product approvals and others such as patents and events. Inorganic growth strategies activities witnessed in the marketwere acquisitions, and partnership & collaborations. These activities have paved way for the expansion of business and customer base of market players. The market payers from artificial intelligence (AI) edge computing market are anticipated to lucrative growth opportunities in the future with the rising demand for artificial intelligence (AI) edge computing in the global market.
The report also includes the profiles of key companies along with their SWOT analysis and market strategies in the artificial intelligence (AI) edge computing. In addition, the report focuses on leading industry players with information such as company profiles, components, and services offered, financial information of the last 3 years, the key development in the past five years.
- Cisco Systems, Inc.
- ClearBlade, Inc.
- FogHorn Systems
- Hewlett Packard Enterprise
- Huawei Technologies Co. Ltd.
- IBM Corporation
- Nokia Networks
- Rigado, LLC
- Saguna Networks Ltd.
- Vapor IO
The Insight Partner's dedicated research and analysis team consist of experienced professionals with advanced statistical expertise and offer various customization options in the existing study.
- Sample PDF showcases the content structure and the nature of the information with qualitative and quantitative analysis.
- Request discounts available for Start-Ups & Universities
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
This text is related
to segments covered.
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
This text is related
to country scope.
1. INTRODUCTION
1.1. SCOPE OF THE STUDY
1.2. THE INSIGHT PARTNERS RESEARCH REPORT GUIDANCE
1.3. MARKET SEGMENTATION
1.3.1 Artificial Intelligence (AI) Edge Computing Market - By Offering
1.3.2 Artificial Intelligence (AI) Edge Computing Market - By End-User
1.3.3 Artificial Intelligence (AI) Edge Computing Market - By Region
1.3.3.1 By Country
2. KEY TAKEAWAYS
3. RESEARCH METHODOLOGY
4. ARTIFICIAL INTELLIGENCE (AI) EDGE COMPUTING MARKET LANDSCAPE
4.1. OVERVIEW
4.2. PORTER'S FIVE FORCES ANALYSIS
4.2.1 Bargaining Power of Buyers
4.2.1 Bargaining Power of Suppliers
4.2.1 Threat of Substitute
4.2.1 Threat of New Entrants
4.2.1 Competitive Rivalry
4.3. ECOSYSTEM ANALYSIS
4.4. EXPERT OPINIONS
5. ARTIFICIAL INTELLIGENCE (AI) EDGE COMPUTING MARKET - KEY MARKET DYNAMICS
5.1. KEY MARKET DRIVERS
5.2. KEY MARKET RESTRAINTS
5.3. KEY MARKET OPPORTUNITIES
5.4. FUTURE TRENDS
5.5. IMPACT ANALYSIS OF DRIVERS AND RESTRAINTS
6. ARTIFICIAL INTELLIGENCE (AI) EDGE COMPUTING MARKET - GLOBAL MARKET ANALYSIS
6.1. ARTIFICIAL INTELLIGENCE (AI) EDGE COMPUTING - GLOBAL MARKET OVERVIEW
6.2. ARTIFICIAL INTELLIGENCE (AI) EDGE COMPUTING - GLOBAL MARKET AND FORECAST TO 2028
6.3. MARKET POSITIONING/MARKET SHARE
7. ARTIFICIAL INTELLIGENCE (AI) EDGE COMPUTING MARKET - REVENUE AND FORECASTS TO 2028 - OFFERING
7.1. OVERVIEW
7.2. OFFERING MARKET FORECASTS AND ANALYSIS
7.3. HARDWARE
7.3.1. Overview
7.3.2. Hardware Market Forecast and Analysis
7.3.3. Nodes Market
7.3.3.1. Overview
7.3.3.2. Nodes Market Forecast and Analysis
7.3.4. Gateways Market
7.3.4.1. Overview
7.3.4.2. Gateways Market Forecast and Analysis
7.3.5. Switches and Routers Market
7.3.5.1. Overview
7.3.5.2. Switches and Routers Market Forecast and Analysis
7.4. SOLUTIONS
7.4.1. Overview
7.4.2. Solutions Market Forecast and Analysis
7.5. SERVICES
7.5.1. Overview
7.5.2. Services Market Forecast and Analysis
8. ARTIFICIAL INTELLIGENCE (AI) EDGE COMPUTING MARKET - REVENUE AND FORECASTS TO 2028 - END-USER
8.1. OVERVIEW
8.2. END-USER MARKET FORECASTS AND ANALYSIS
8.3. MANUFACTURING
8.3.1. Overview
8.3.2. Manufacturing Market Forecast and Analysis
8.4. HEALTHCARE
8.4.1. Overview
8.4.2. Healthcare Market Forecast and Analysis
8.5. TRANSPORTATION
8.5.1. Overview
8.5.2. Transportation Market Forecast and Analysis
8.6. GOVERNMENT
8.6.1. Overview
8.6.2. Government Market Forecast and Analysis
8.7. MEDIA AND ENTERTAINMENT
8.7.1. Overview
8.7.2. Media and Entertainment Market Forecast and Analysis
8.8. ENERGY AND UTILITIES
8.8.1. Overview
8.8.2. Energy and Utilities Market Forecast and Analysis
8.9. TELECOM AND IT
8.9.1. Overview
8.9.2. Telecom and IT Market Forecast and Analysis
8.10. RETAIL
8.10.1. Overview
8.10.2. Retail Market Forecast and Analysis
8.11. OTHERS
8.11.1. Overview
8.11.2. Others Market Forecast and Analysis
9. ARTIFICIAL INTELLIGENCE (AI) EDGE COMPUTING MARKET REVENUE AND FORECASTS TO 2028 - GEOGRAPHICAL ANALYSIS
9.1. NORTH AMERICA
9.1.1 North America Artificial Intelligence (AI) Edge Computing Market Overview
9.1.2 North America Artificial Intelligence (AI) Edge Computing Market Forecasts and Analysis
9.1.3 North America Artificial Intelligence (AI) Edge Computing Market Forecasts and Analysis - By Offering
9.1.4 North America Artificial Intelligence (AI) Edge Computing Market Forecasts and Analysis - By End-User
9.1.5 North America Artificial Intelligence (AI) Edge Computing Market Forecasts and Analysis - By Countries
9.1.5.1 United States Artificial Intelligence (AI) Edge Computing Market
9.1.5.1.1 United States Artificial Intelligence (AI) Edge Computing Market by Offering
9.1.5.1.2 United States Artificial Intelligence (AI) Edge Computing Market by End-User
9.1.5.2 Canada Artificial Intelligence (AI) Edge Computing Market
9.1.5.2.1 Canada Artificial Intelligence (AI) Edge Computing Market by Offering
9.1.5.2.2 Canada Artificial Intelligence (AI) Edge Computing Market by End-User
9.1.5.3 Mexico Artificial Intelligence (AI) Edge Computing Market
9.1.5.3.1 Mexico Artificial Intelligence (AI) Edge Computing Market by Offering
9.1.5.3.2 Mexico Artificial Intelligence (AI) Edge Computing Market by End-User
9.2. EUROPE
9.2.1 Europe Artificial Intelligence (AI) Edge Computing Market Overview
9.2.2 Europe Artificial Intelligence (AI) Edge Computing Market Forecasts and Analysis
9.2.3 Europe Artificial Intelligence (AI) Edge Computing Market Forecasts and Analysis - By Offering
9.2.4 Europe Artificial Intelligence (AI) Edge Computing Market Forecasts and Analysis - By End-User
9.2.5 Europe Artificial Intelligence (AI) Edge Computing Market Forecasts and Analysis - By Countries
9.2.5.1 Germany Artificial Intelligence (AI) Edge Computing Market
9.2.5.1.1 Germany Artificial Intelligence (AI) Edge Computing Market by Offering
9.2.5.1.2 Germany Artificial Intelligence (AI) Edge Computing Market by End-User
9.2.5.2 France Artificial Intelligence (AI) Edge Computing Market
9.2.5.2.1 France Artificial Intelligence (AI) Edge Computing Market by Offering
9.2.5.2.2 France Artificial Intelligence (AI) Edge Computing Market by End-User
9.2.5.3 Italy Artificial Intelligence (AI) Edge Computing Market
9.2.5.3.1 Italy Artificial Intelligence (AI) Edge Computing Market by Offering
9.2.5.3.2 Italy Artificial Intelligence (AI) Edge Computing Market by End-User
9.2.5.4 United Kingdom Artificial Intelligence (AI) Edge Computing Market
9.2.5.4.1 United Kingdom Artificial Intelligence (AI) Edge Computing Market by Offering
9.2.5.4.2 United Kingdom Artificial Intelligence (AI) Edge Computing Market by End-User
9.2.5.5 Russia Artificial Intelligence (AI) Edge Computing Market
9.2.5.5.1 Russia Artificial Intelligence (AI) Edge Computing Market by Offering
9.2.5.5.2 Russia Artificial Intelligence (AI) Edge Computing Market by End-User
9.2.5.6 Rest of Europe Artificial Intelligence (AI) Edge Computing Market
9.2.5.6.1 Rest of Europe Artificial Intelligence (AI) Edge Computing Market by Offering
9.2.5.6.2 Rest of Europe Artificial Intelligence (AI) Edge Computing Market by End-User
9.3. ASIA-PACIFIC
9.3.1 Asia-Pacific Artificial Intelligence (AI) Edge Computing Market Overview
9.3.2 Asia-Pacific Artificial Intelligence (AI) Edge Computing Market Forecasts and Analysis
9.3.3 Asia-Pacific Artificial Intelligence (AI) Edge Computing Market Forecasts and Analysis - By Offering
9.3.4 Asia-Pacific Artificial Intelligence (AI) Edge Computing Market Forecasts and Analysis - By End-User
9.3.5 Asia-Pacific Artificial Intelligence (AI) Edge Computing Market Forecasts and Analysis - By Countries
9.3.5.1 Australia Artificial Intelligence (AI) Edge Computing Market
9.3.5.1.1 Australia Artificial Intelligence (AI) Edge Computing Market by Offering
9.3.5.1.2 Australia Artificial Intelligence (AI) Edge Computing Market by End-User
9.3.5.2 China Artificial Intelligence (AI) Edge Computing Market
9.3.5.2.1 China Artificial Intelligence (AI) Edge Computing Market by Offering
9.3.5.2.2 China Artificial Intelligence (AI) Edge Computing Market by End-User
9.3.5.3 India Artificial Intelligence (AI) Edge Computing Market
9.3.5.3.1 India Artificial Intelligence (AI) Edge Computing Market by Offering
9.3.5.3.2 India Artificial Intelligence (AI) Edge Computing Market by End-User
9.3.5.4 Japan Artificial Intelligence (AI) Edge Computing Market
9.3.5.4.1 Japan Artificial Intelligence (AI) Edge Computing Market by Offering
9.3.5.4.2 Japan Artificial Intelligence (AI) Edge Computing Market by End-User
9.3.5.5 South Korea Artificial Intelligence (AI) Edge Computing Market
9.3.5.5.1 South Korea Artificial Intelligence (AI) Edge Computing Market by Offering
9.3.5.5.2 South Korea Artificial Intelligence (AI) Edge Computing Market by End-User
9.3.5.6 Rest of Asia-Pacific Artificial Intelligence (AI) Edge Computing Market
9.3.5.6.1 Rest of Asia-Pacific Artificial Intelligence (AI) Edge Computing Market by Offering
9.3.5.6.2 Rest of Asia-Pacific Artificial Intelligence (AI) Edge Computing Market by End-User
9.4. MIDDLE EAST AND AFRICA
9.4.1 Middle East and Africa Artificial Intelligence (AI) Edge Computing Market Overview
9.4.2 Middle East and Africa Artificial Intelligence (AI) Edge Computing Market Forecasts and Analysis
9.4.3 Middle East and Africa Artificial Intelligence (AI) Edge Computing Market Forecasts and Analysis - By Offering
9.4.4 Middle East and Africa Artificial Intelligence (AI) Edge Computing Market Forecasts and Analysis - By End-User
9.4.5 Middle East and Africa Artificial Intelligence (AI) Edge Computing Market Forecasts and Analysis - By Countries
9.4.5.1 South Africa Artificial Intelligence (AI) Edge Computing Market
9.4.5.1.1 South Africa Artificial Intelligence (AI) Edge Computing Market by Offering
9.4.5.1.2 South Africa Artificial Intelligence (AI) Edge Computing Market by End-User
9.4.5.2 Saudi Arabia Artificial Intelligence (AI) Edge Computing Market
9.4.5.2.1 Saudi Arabia Artificial Intelligence (AI) Edge Computing Market by Offering
9.4.5.2.2 Saudi Arabia Artificial Intelligence (AI) Edge Computing Market by End-User
9.4.5.3 U.A.E Artificial Intelligence (AI) Edge Computing Market
9.4.5.3.1 U.A.E Artificial Intelligence (AI) Edge Computing Market by Offering
9.4.5.3.2 U.A.E Artificial Intelligence (AI) Edge Computing Market by End-User
9.4.5.4 Rest of Middle East and Africa Artificial Intelligence (AI) Edge Computing Market
9.4.5.4.1 Rest of Middle East and Africa Artificial Intelligence (AI) Edge Computing Market by Offering
9.4.5.4.2 Rest of Middle East and Africa Artificial Intelligence (AI) Edge Computing Market by End-User
9.5. SOUTH AND CENTRAL AMERICA
9.5.1 South and Central America Artificial Intelligence (AI) Edge Computing Market Overview
9.5.2 South and Central America Artificial Intelligence (AI) Edge Computing Market Forecasts and Analysis
9.5.3 South and Central America Artificial Intelligence (AI) Edge Computing Market Forecasts and Analysis - By Offering
9.5.4 South and Central America Artificial Intelligence (AI) Edge Computing Market Forecasts and Analysis - By End-User
9.5.5 South and Central America Artificial Intelligence (AI) Edge Computing Market Forecasts and Analysis - By Countries
9.5.5.1 Brazil Artificial Intelligence (AI) Edge Computing Market
9.5.5.1.1 Brazil Artificial Intelligence (AI) Edge Computing Market by Offering
9.5.5.1.2 Brazil Artificial Intelligence (AI) Edge Computing Market by End-User
9.5.5.2 Argentina Artificial Intelligence (AI) Edge Computing Market
9.5.5.2.1 Argentina Artificial Intelligence (AI) Edge Computing Market by Offering
9.5.5.2.2 Argentina Artificial Intelligence (AI) Edge Computing Market by End-User
9.5.5.3 Rest of South and Central America Artificial Intelligence (AI) Edge Computing Market
9.5.5.3.1 Rest of South and Central America Artificial Intelligence (AI) Edge Computing Market by Offering
9.5.5.3.2 Rest of South and Central America Artificial Intelligence (AI) Edge Computing Market by End-User
10. INDUSTRY LANDSCAPE
10.1. MERGERS AND ACQUISITIONS
10.2. AGREEMENTS, COLLABORATIONS AND JOIN VENTURES
10.3. NEW PRODUCT LAUNCHES
10.4. EXPANSIONS AND OTHER STRATEGIC DEVELOPMENTS
11. ARTIFICIAL INTELLIGENCE (AI) EDGE COMPUTING MARKET, KEY COMPANY PROFILES
11.1. CISCO SYSTEMS, INC.
11.1.1. Key Facts
11.1.2. Business Description
11.1.3. Products and Services
11.1.4. Financial Overview
11.1.5. SWOT Analysis
11.1.6. Key Developments
11.2. CLEARBLADE, INC.
11.2.1. Key Facts
11.2.2. Business Description
11.2.3. Products and Services
11.2.4. Financial Overview
11.2.5. SWOT Analysis
11.2.6. Key Developments
11.3. FOGHORN SYSTEMS
11.3.1. Key Facts
11.3.2. Business Description
11.3.3. Products and Services
11.3.4. Financial Overview
11.3.5. SWOT Analysis
11.3.6. Key Developments
11.4. HEWLETT PACKARD ENTERPRISE
11.4.1. Key Facts
11.4.2. Business Description
11.4.3. Products and Services
11.4.4. Financial Overview
11.4.5. SWOT Analysis
11.4.6. Key Developments
11.5. HUAWEI TECHNOLOGIES CO. LTD.
11.5.1. Key Facts
11.5.2. Business Description
11.5.3. Products and Services
11.5.4. Financial Overview
11.5.5. SWOT Analysis
11.5.6. Key Developments
11.6. IBM CORPORATION
11.6.1. Key Facts
11.6.2. Business Description
11.6.3. Products and Services
11.6.4. Financial Overview
11.6.5. SWOT Analysis
11.6.6. Key Developments
11.7. NOKIA NETWORKS
11.7.1. Key Facts
11.7.2. Business Description
11.7.3. Products and Services
11.7.4. Financial Overview
11.7.5. SWOT Analysis
11.7.6. Key Developments
11.8. RIGADO, LLC
11.8.1. Key Facts
11.8.2. Business Description
11.8.3. Products and Services
11.8.4. Financial Overview
11.8.5. SWOT Analysis
11.8.6. Key Developments
11.9. SAGUNA NETWORKS LTD.
11.9.1. Key Facts
11.9.2. Business Description
11.9.3. Products and Services
11.9.4. Financial Overview
11.9.5. SWOT Analysis
11.9.6. Key Developments
11.10. VAPOR IO
11.10.1. Key Facts
11.10.2. Business Description
11.10.3. Products and Services
11.10.4. Financial Overview
11.10.5. SWOT Analysis
11.10.6. Key Developments
12. APPENDIX
12.1. ABOUT THE INSIGHT PARTNERS
12.2. GLOSSARY OF TERMS
1. Cisco Systems, Inc.
2. ClearBlade, Inc.
3. FogHorn Systems
4. Hewlett Packard Enterprise
5. Huawei Technologies Co. Ltd.
6. IBM Corporation
7. Nokia Networks
8. Rigado, LLC
9. Saguna Networks Ltd.
10. Vapor IO
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- Data Collection and Secondary Research:
As a market research and consulting firm operating from a decade, we have published many reports and advised several clients across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.
Several associations trade associates, technical forums, institutes, societies and organizations are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in the last 3 years are scrutinized and analyzed to understand the current market trends.
- Primary Research:
The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.
For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/Sales Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.
A typical research interview fulfils the following functions:
- Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
- Validates and strengthens in-house secondary research findings
- Develops the analysis team’s expertise and market understanding
Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:
- Industry participants: VPs, business development managers, market intelligence managers and national sales managers
- Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.
Below is the breakup of our primary respondents by company, designation, and region:
Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.
- Data Analysis:
Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.
- 3.1 Macro-Economic Factor Analysis:
We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.
- 3.2 Country Level Data:
Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.
- 3.3 Company Profile:
The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.
- 3.4 Developing Base Number:
Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.
- Data Triangulation and Final Review:
The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.
We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.
We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.
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