Artificial Intelligence in IoT Market Size and Forecasts (2021 - 2031), Global and Regional Share, Trends, and Growth Opportunity Analysis

Coverage: Artificial Intelligence in IoT Market covers analysis By Technology (Machine Learning, Natural Language Processing, Image Processing, Speech Recognition); Component (Software, Platform, Services); End User Industry (BFSI, Energy and Utilities, Manufacturing, Retail, Transportation and Mobility, Others) , and Geography (North America, Europe, Asia Pacific, and South and Central America)

Publication Month : Mar 2024

  • Report Code : TIPTE100000205
  • Category : Technology, Media and Telecommunications
  • Status : Upcoming
  • No. of Pages : 150
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MARKET OVERVIEW

Internet of things artificial intelligence is a combination of connecting the device to the internet and other connected devices and analyzing the big data and provide the required amount of data to the device, respectively. Due to the use of AI in IoT, data analyzing and analytics problems are being solved as it is done by AI in a better way. Moreover, the need to process vast volumes of real-time data generated by IoT appliance is expected to create new opportunities for Artificial Intelligence in IoT Market.

MARKET SCOPE

The "Global Artificial Intelligence in IoT Market Analysis to 2028" is a specialized and in-depth study with a special focus on the global market trend analysis. The report aims to provide an overview of the artificial intelligence in IoT market with detailed market segmentation by technology, component, end user industry, and geography. The report provides key statistics on the market status of the leading artificial intelligence in IoT market players and offers key trends and opportunities in the market.MARKET SEGMENTATION

  •   Based on technology, the global artificial intelligence in IoT market is segmented into machine learning, natural language processing, image processing, and speech recognition.
  •   On the basis of component, the market is segmented into software, platform, and services.
  •   Based on end user industry, the market is segmented into BFSI, energy and utilities, manufacturing, retail, transportation and mobility, and others.

MARKET DYNAMICS
Drivers:

  •   The requirement to efficiently process huge volumes of real-time data being generated from IoT devices and reduce maintenance cost and downtime are some of the major factors driving the growth of artificial intelligence in IoT Market.
  •   Advancement in technologies is anticipated to create new opportunities for artificial intelligence in IoT Market.

Restraints:

  •   Expensive cost and lack of knowledge among consumers are the major factors which may restrain the growth of artificial intelligence in IoT Market.

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 2019 to 2028 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 in IoT 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 market during 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 in IoT market in these regions.

IMPACT OF COVID-19 ON ARTIFICIAL INTELLIGENCE IN IOT 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.

World Geography

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MARKET PLAYERS


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 2019 to 2028 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 in IoT 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 market during 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 in IoT market in these regions.

IMPACT OF COVID-19 ON ARTIFICIAL INTELLIGENCE IN IOT 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 in IoT market 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 market were acquisitions, and partnership & collaborations. These activities have paved way for the expansion of business and customer base of market players. The market players from artificial intelligence in IoT market are anticipated to lucrative growth opportunities in the future with the rising demand 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 in IoT market. 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.
  •   Amazon Inc.
  •   Cisco Systems Inc
  •   Google (Alphabet Inc.)
  •   Intel Corporation
  •   IBM Corporation
  •   Microsoft Corporation
  •   NVIDIA Corporation
  •   Oracle Corporation
  •   Salesforce Inc
  •   SAP SE
    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
    Report Coverage

    Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends

    Segment Covered
    Segment Covered

    This text is related
    to segments covered.

    Regional Scope
    Regional Scope

    North America, Europe, Asia Pacific, Middle East & Africa, South & Central America

    Country Scope
    Country Scope

    This text is related
    to country scope.

    TABLE OF CONTENTS

    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 In IoT Market - By Technology
    1.3.2 Artificial Intelligence In IoT Market - By Component
    1.3.3 Artificial Intelligence In IoT Market - By End User Industry
    1.3.4 Artificial Intelligence In IoT Market - By Region
    1.3.4.1 By Country

    2. KEY TAKEAWAYS

    3. RESEARCH METHODOLOGY

    4. ARTIFICIAL INTELLIGENCE IN IOT 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 IN IOT 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 IN IOT MARKET - GLOBAL MARKET ANALYSIS
    6.1. ARTIFICIAL INTELLIGENCE IN IOT - GLOBAL MARKET OVERVIEW
    6.2. ARTIFICIAL INTELLIGENCE IN IOT - GLOBAL MARKET AND FORECAST TO 2027
    6.3. MARKET POSITIONING/MARKET SHARE

    7. ARTIFICIAL INTELLIGENCE IN IOT MARKET - REVENUE AND FORECASTS TO 2027 - TECHNOLOGY
    7.1. OVERVIEW
    7.2. TECHNOLOGY MARKET FORECASTS AND ANALYSIS
    7.3. MACHINE LEARNING
    7.3.1. Overview
    7.3.2. Machine Learning Market Forecast and Analysis
    7.4. NATURAL LANGUAGE PROCESSING
    7.4.1. Overview
    7.4.2. Natural Language Processing Market Forecast and Analysis
    7.5. IMAGE PROCESSING
    7.5.1. Overview
    7.5.2. Image Processing Market Forecast and Analysis
    7.6. SPEECH RECOGNITION
    7.6.1. Overview
    7.6.2. Speech Recognition Market Forecast and Analysis
    8. ARTIFICIAL INTELLIGENCE IN IOT MARKET - REVENUE AND FORECASTS TO 2027 - COMPONENT
    8.1. OVERVIEW
    8.2. COMPONENT MARKET FORECASTS AND ANALYSIS
    8.3. SOFTWARE
    8.3.1. Overview
    8.3.2. Software Market Forecast and Analysis
    8.4. PLATFORM
    8.4.1. Overview
    8.4.2. Platform Market Forecast and Analysis
    8.5. SERVICES
    8.5.1. Overview
    8.5.2. Services Market Forecast and Analysis
    9. ARTIFICIAL INTELLIGENCE IN IOT MARKET - REVENUE AND FORECASTS TO 2027 - END USER INDUSTRY
    9.1. OVERVIEW
    9.2. END USER INDUSTRY MARKET FORECASTS AND ANALYSIS
    9.3. BFSI
    9.3.1. Overview
    9.3.2. BFSI Market Forecast and Analysis
    9.4. ENERGY AND UTILITIES
    9.4.1. Overview
    9.4.2. Energy and Utilities Market Forecast and Analysis
    9.5. MANUFACTURING
    9.5.1. Overview
    9.5.2. Manufacturing Market Forecast and Analysis
    9.6. RETAIL
    9.6.1. Overview
    9.6.2. Retail Market Forecast and Analysis
    9.7. TRANSPORTATION AND MOBILITY
    9.7.1. Overview
    9.7.2. Transportation and Mobility Market Forecast and Analysis
    9.8. OTHERS
    9.8.1. Overview
    9.8.2. Others Market Forecast and Analysis

    10. ARTIFICIAL INTELLIGENCE IN IOT MARKET REVENUE AND FORECASTS TO 2027 - GEOGRAPHICAL ANALYSIS
    10.1. NORTH AMERICA
    10.1.1 North America Artificial Intelligence In IoT Market Overview
    10.1.2 North America Artificial Intelligence In IoT Market Forecasts and Analysis
    10.1.3 North America Artificial Intelligence In IoT Market Forecasts and Analysis - By Technology
    10.1.4 North America Artificial Intelligence In IoT Market Forecasts and Analysis - By Component
    10.1.5 North America Artificial Intelligence In IoT Market Forecasts and Analysis - By End User Industry
    10.1.6 North America Artificial Intelligence In IoT Market Forecasts and Analysis - By Countries
    10.1.6.1 United States Artificial Intelligence In IoT Market
    10.1.6.1.1 United States Artificial Intelligence In IoT Market by Technology
    10.1.6.1.2 United States Artificial Intelligence In IoT Market by Component
    10.1.6.1.3 United States Artificial Intelligence In IoT Market by End User Industry
    10.1.6.2 Canada Artificial Intelligence In IoT Market
    10.1.6.2.1 Canada Artificial Intelligence In IoT Market by Technology
    10.1.6.2.2 Canada Artificial Intelligence In IoT Market by Component
    10.1.6.2.3 Canada Artificial Intelligence In IoT Market by End User Industry
    10.1.6.3 Mexico Artificial Intelligence In IoT Market
    10.1.6.3.1 Mexico Artificial Intelligence In IoT Market by Technology
    10.1.6.3.2 Mexico Artificial Intelligence In IoT Market by Component
    10.1.6.3.3 Mexico Artificial Intelligence In IoT Market by End User Industry
    10.2. EUROPE
    10.2.1 Europe Artificial Intelligence In IoT Market Overview
    10.2.2 Europe Artificial Intelligence In IoT Market Forecasts and Analysis
    10.2.3 Europe Artificial Intelligence In IoT Market Forecasts and Analysis - By Technology
    10.2.4 Europe Artificial Intelligence In IoT Market Forecasts and Analysis - By Component
    10.2.5 Europe Artificial Intelligence In IoT Market Forecasts and Analysis - By End User Industry
    10.2.6 Europe Artificial Intelligence In IoT Market Forecasts and Analysis - By Countries
    10.2.6.1 Germany Artificial Intelligence In IoT Market
    10.2.6.1.1 Germany Artificial Intelligence In IoT Market by Technology
    10.2.6.1.2 Germany Artificial Intelligence In IoT Market by Component
    10.2.6.1.3 Germany Artificial Intelligence In IoT Market by End User Industry
    10.2.6.2 France Artificial Intelligence In IoT Market
    10.2.6.2.1 France Artificial Intelligence In IoT Market by Technology
    10.2.6.2.2 France Artificial Intelligence In IoT Market by Component
    10.2.6.2.3 France Artificial Intelligence In IoT Market by End User Industry
    10.2.6.3 Italy Artificial Intelligence In IoT Market
    10.2.6.3.1 Italy Artificial Intelligence In IoT Market by Technology
    10.2.6.3.2 Italy Artificial Intelligence In IoT Market by Component
    10.2.6.3.3 Italy Artificial Intelligence In IoT Market by End User Industry
    10.2.6.4 United Kingdom Artificial Intelligence In IoT Market
    10.2.6.4.1 United Kingdom Artificial Intelligence In IoT Market by Technology
    10.2.6.4.2 United Kingdom Artificial Intelligence In IoT Market by Component
    10.2.6.4.3 United Kingdom Artificial Intelligence In IoT Market by End User Industry
    10.2.6.5 Russia Artificial Intelligence In IoT Market
    10.2.6.5.1 Russia Artificial Intelligence In IoT Market by Technology
    10.2.6.5.2 Russia Artificial Intelligence In IoT Market by Component
    10.2.6.5.3 Russia Artificial Intelligence In IoT Market by End User Industry
    10.2.6.6 Rest of Europe Artificial Intelligence In IoT Market
    10.2.6.6.1 Rest of Europe Artificial Intelligence In IoT Market by Technology
    10.2.6.6.2 Rest of Europe Artificial Intelligence In IoT Market by Component
    10.2.6.6.3 Rest of Europe Artificial Intelligence In IoT Market by End User Industry
    10.3. ASIA-PACIFIC
    10.3.1 Asia-Pacific Artificial Intelligence In IoT Market Overview
    10.3.2 Asia-Pacific Artificial Intelligence In IoT Market Forecasts and Analysis
    10.3.3 Asia-Pacific Artificial Intelligence In IoT Market Forecasts and Analysis - By Technology
    10.3.4 Asia-Pacific Artificial Intelligence In IoT Market Forecasts and Analysis - By Component
    10.3.5 Asia-Pacific Artificial Intelligence In IoT Market Forecasts and Analysis - By End User Industry
    10.3.6 Asia-Pacific Artificial Intelligence In IoT Market Forecasts and Analysis - By Countries
    10.3.6.1 Australia Artificial Intelligence In IoT Market
    10.3.6.1.1 Australia Artificial Intelligence In IoT Market by Technology
    10.3.6.1.2 Australia Artificial Intelligence In IoT Market by Component
    10.3.6.1.3 Australia Artificial Intelligence In IoT Market by End User Industry
    10.3.6.2 China Artificial Intelligence In IoT Market
    10.3.6.2.1 China Artificial Intelligence In IoT Market by Technology
    10.3.6.2.2 China Artificial Intelligence In IoT Market by Component
    10.3.6.2.3 China Artificial Intelligence In IoT Market by End User Industry
    10.3.6.3 India Artificial Intelligence In IoT Market
    10.3.6.3.1 India Artificial Intelligence In IoT Market by Technology
    10.3.6.3.2 India Artificial Intelligence In IoT Market by Component
    10.3.6.3.3 India Artificial Intelligence In IoT Market by End User Industry
    10.3.6.4 Japan Artificial Intelligence In IoT Market
    10.3.6.4.1 Japan Artificial Intelligence In IoT Market by Technology
    10.3.6.4.2 Japan Artificial Intelligence In IoT Market by Component
    10.3.6.4.3 Japan Artificial Intelligence In IoT Market by End User Industry
    10.3.6.5 Rest of Asia-Pacific Artificial Intelligence In IoT Market
    10.3.6.5.1 Rest of Asia-Pacific Artificial Intelligence In IoT Market by Technology
    10.3.6.5.2 Rest of Asia-Pacific Artificial Intelligence In IoT Market by Component
    10.3.6.5.3 Rest of Asia-Pacific Artificial Intelligence In IoT Market by End User Industry
    10.4. MIDDLE EAST AND AFRICA
    10.4.1 Middle East and Africa Artificial Intelligence In IoT Market Overview
    10.4.2 Middle East and Africa Artificial Intelligence In IoT Market Forecasts and Analysis
    10.4.3 Middle East and Africa Artificial Intelligence In IoT Market Forecasts and Analysis - By Technology
    10.4.4 Middle East and Africa Artificial Intelligence In IoT Market Forecasts and Analysis - By Component
    10.4.5 Middle East and Africa Artificial Intelligence In IoT Market Forecasts and Analysis - By End User Industry
    10.4.6 Middle East and Africa Artificial Intelligence In IoT Market Forecasts and Analysis - By Countries
    10.4.6.1 South Africa Artificial Intelligence In IoT Market
    10.4.6.1.1 South Africa Artificial Intelligence In IoT Market by Technology
    10.4.6.1.2 South Africa Artificial Intelligence In IoT Market by Component
    10.4.6.1.3 South Africa Artificial Intelligence In IoT Market by End User Industry
    10.4.6.2 Saudi Arabia Artificial Intelligence In IoT Market
    10.4.6.2.1 Saudi Arabia Artificial Intelligence In IoT Market by Technology
    10.4.6.2.2 Saudi Arabia Artificial Intelligence In IoT Market by Component
    10.4.6.2.3 Saudi Arabia Artificial Intelligence In IoT Market by End User Industry
    10.4.6.3 U.A.E Artificial Intelligence In IoT Market
    10.4.6.3.1 U.A.E Artificial Intelligence In IoT Market by Technology
    10.4.6.3.2 U.A.E Artificial Intelligence In IoT Market by Component
    10.4.6.3.3 U.A.E Artificial Intelligence In IoT Market by End User Industry
    10.4.6.4 Rest of Middle East and Africa Artificial Intelligence In IoT Market
    10.4.6.4.1 Rest of Middle East and Africa Artificial Intelligence In IoT Market by Technology
    10.4.6.4.2 Rest of Middle East and Africa Artificial Intelligence In IoT Market by Component
    10.4.6.4.3 Rest of Middle East and Africa Artificial Intelligence In IoT Market by End User Industry
    10.5. SOUTH AND CENTRAL AMERICA
    10.5.1 South and Central America Artificial Intelligence In IoT Market Overview
    10.5.2 South and Central America Artificial Intelligence In IoT Market Forecasts and Analysis
    10.5.3 South and Central America Artificial Intelligence In IoT Market Forecasts and Analysis - By Technology
    10.5.4 South and Central America Artificial Intelligence In IoT Market Forecasts and Analysis - By Component
    10.5.5 South and Central America Artificial Intelligence In IoT Market Forecasts and Analysis - By End User Industry
    10.5.6 South and Central America Artificial Intelligence In IoT Market Forecasts and Analysis - By Countries
    10.5.6.1 Brazil Artificial Intelligence In IoT Market
    10.5.6.1.1 Brazil Artificial Intelligence In IoT Market by Technology
    10.5.6.1.2 Brazil Artificial Intelligence In IoT Market by Component
    10.5.6.1.3 Brazil Artificial Intelligence In IoT Market by End User Industry
    10.5.6.2 Argentina Artificial Intelligence In IoT Market
    10.5.6.2.1 Argentina Artificial Intelligence In IoT Market by Technology
    10.5.6.2.2 Argentina Artificial Intelligence In IoT Market by Component
    10.5.6.2.3 Argentina Artificial Intelligence In IoT Market by End User Industry
    10.5.6.3 Rest of South and Central America Artificial Intelligence In IoT Market
    10.5.6.3.1 Rest of South and Central America Artificial Intelligence In IoT Market by Technology
    10.5.6.3.2 Rest of South and Central America Artificial Intelligence In IoT Market by Component
    10.5.6.3.3 Rest of South and Central America Artificial Intelligence In IoT Market by End User Industry

    11. INDUSTRY LANDSCAPE
    11.1. MERGERS AND ACQUISITIONS
    11.2. AGREEMENTS, COLLABORATIONS AND JOIN VENTURES
    11.3. NEW PRODUCT LAUNCHES
    11.4. EXPANSIONS AND OTHER STRATEGIC DEVELOPMENTS

    12. ARTIFICIAL INTELLIGENCE IN IOT MARKET, KEY COMPANY PROFILES
    12.1. AMAZON INC.
    12.1.1. Key Facts
    12.1.2. Business Description
    12.1.3. Products and Services
    12.1.4. Financial Overview
    12.1.5. SWOT Analysis
    12.1.6. Key Developments
    12.2. CISCO SYSTEMS INC
    12.2.1. Key Facts
    12.2.2. Business Description
    12.2.3. Products and Services
    12.2.4. Financial Overview
    12.2.5. SWOT Analysis
    12.2.6. Key Developments
    12.3. GOOGLE (ALPHABET INC.)
    12.3.1. Key Facts
    12.3.2. Business Description
    12.3.3. Products and Services
    12.3.4. Financial Overview
    12.3.5. SWOT Analysis
    12.3.6. Key Developments
    12.4. INTEL CORPORATION
    12.4.1. Key Facts
    12.4.2. Business Description
    12.4.3. Products and Services
    12.4.4. Financial Overview
    12.4.5. SWOT Analysis
    12.4.6. Key Developments
    12.5. IBM CORPORATION
    12.5.1. Key Facts
    12.5.2. Business Description
    12.5.3. Products and Services
    12.5.4. Financial Overview
    12.5.5. SWOT Analysis
    12.5.6. Key Developments
    12.6. MICROSOFT CORPORATION
    12.6.1. Key Facts
    12.6.2. Business Description
    12.6.3. Products and Services
    12.6.4. Financial Overview
    12.6.5. SWOT Analysis
    12.6.6. Key Developments
    12.7. NVIDIA CORPORATION
    12.7.1. Key Facts
    12.7.2. Business Description
    12.7.3. Products and Services
    12.7.4. Financial Overview
    12.7.5. SWOT Analysis
    12.7.6. Key Developments
    12.8. ORACLE CORPORATION
    12.8.1. Key Facts
    12.8.2. Business Description
    12.8.3. Products and Services
    12.8.4. Financial Overview
    12.8.5. SWOT Analysis
    12.8.6. Key Developments
    12.9. SALESFORCE INC
    12.9.1. Key Facts
    12.9.2. Business Description
    12.9.3. Products and Services
    12.9.4. Financial Overview
    12.9.5. SWOT Analysis
    12.9.6. Key Developments
    12.10. SAP SE
    12.10.1. Key Facts
    12.10.2. Business Description
    12.10.3. Products and Services
    12.10.4. Financial Overview
    12.10.5. SWOT Analysis
    12.10.6. Key Developments

    13. APPENDIX
    13.1. ABOUT THE INSIGHT PARTNERS
    13.2. GLOSSARY OF TERMS
    The List of Companies

    1. Amazon Inc.
    2. Cisco Systems Inc
    3. Google (Alphabet Inc.)
    4. Intel Corporation
    5. IBM Corporation
    6. Microsoft Corporation
    7. NVIDIA Corporation
    8. Oracle Corporation
    9. Salesforce Inc
    10. SAP SE

    The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.

    1. 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.

    1. 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:

    Research Methodology

    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.

    1. 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.

    1. 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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