Global Deep Learning in Machine Vision Industry Outlook 2022: Overview, Opportunities, Key Companies and Forecast to 2028

Global Deep Learning in Machine Vision Industry Outlook 2022: Overview, Opportunities, Key Companies and Forecast to 2028

Report Code: KNJ1117255 | No. of Pages: 93 | Category: Services
Publisher: GRD Survey | Date of Publish: Jan-2022
Executive Summary

According to GRD Survey data, the global Deep Learning in Machine Vision market is estimated at 190 million US$ in 2021 and is expected to 5270 million US$ by the end of 2028, growing at a CAGR of 61.2% in the forecast period from 2022 to 2028.

This report studies the Deep Learning in Machine Vision market dynamics from angles such as new entries, mergers and acquisitions, fundings, exit and major technology breakthroughs. Market performance is evaluated through market size (Million USD) by players, regions, product types and end industries. This report also studies the global market competition landscape, market drivers and trends, opportunities and challenges, risks and entry barriers, sales channels, distributors and Porter's Five Forces Analysis.

Geographically, this report is segmented into several key regions, with revenue, market share and growth Rate of Deep Learning in Machine Vision in these regions, from 2016 to 2027, covering
    North America (United States, Canada and Mexico)
    Europe (Germany, France, UK, Italy, Spain and Russia, etc.)
    Asia-Pacific (China, Japan, Korea, Southeast Asia, India, Australia)
    South America (Brazil, Argentina, Colombia, etc.)
    Middle East and Africa (Turkey, Saudi Arabia, South Africa, etc.)

Market Snapshot, By Product Type
    Hardware

    Software

Market Snapshot, By Application
    Automobile

    Electronic

    Food and Drink

    Health Care

    Aerospace and Defense

    Others

Main Market Players Analyzed in this report, including:
    IFLYTEK

    Qualcomm

    NVIDIA

    NavInfo

    Intel

    Beijing Megvii

    4Paradigm


The study objectives of this report are:
    To study and analyze the global Deep Learning in Machine Vision market size (Million USD) by company, key regions/countries, products and application, history data from 2016 to 2020, and forecast to 2027.
    To understand industry structure of Deep Learning in Machine Vision market by identifying its various subsegments.
    To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
    To identify the key global Deep Learning in Machine Vision manufacturers and regional typical players, to define, describe and analyze their sales volume, value, market share, market competition landscape, SWOT analysis and development plans in next few years.
    To analyze the Deep Learning in Machine Vision market with respect to individual growth trends, future prospects, and their contribution to the total market.
    To project the value and volume of Deep Learning in Machine Vision submarkets, with respect to key regions (along with their respective key countries).
    To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
    To strategically profile the key players and comprehensively analyze their growth strategies.

In this study, the years considered to estimate the market size of Deep Learning in Machine Vision are as follows:
    History Year: 2016-2020
    Base Year: 2020
    Estimated Year: 2021
    Forecast Year 2021 to 2027

This report includes the estimation of market size from top-down approach by analyzing major submarkets and their major driving factors, and verified from bottom-up approaches. Key players in the market have been identified through secondary research, and their market shares have been determined through primary and secondary research. All percentage shares, splits, and breakdowns have been determined using secondary sources and verified from primary sources.

For the data information by region, company, type and application, 2020 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.

Key Stakeholders Considered in the study:
Raw material vendors
Distributors/traders/wholesalers/suppliers
Regulatory authorities, including government agencies and NGO
Commercial research & development (R&D) institutions
Importers and exporters
Government organizations, research organizations, and consulting firms
Trade/Industrial associations
End-use industries

Table of Contents

1  Market Definition & Scope
    1.1  Definition & Scope
    1.2 Deep Learning in Machine Vision Product Specifications
    1.3  Main Events (Entry, M&A, Exit, Technology and Capital Activity)
    1.4 Global Deep Learning in Machine Vision Market Performance and Outlook

2 Market Development Performance under COVID-19
    2.1 Influencing Factors of Industry Development in the Next Five Years
        2.1.1 Drivers
        2.1.2 Restraints
        2.1.3 Opportunities
    2.2 Porter’s Five Forces Analysis
    2.3 Comparison of Alternatives and Deep Learning in Machine Vision

3 3 Industrial Lift Cycle and Main Buyers Analysis
    3.1 Industry Life Cycle Analysis
    3.2 Key Buying Industries/Consumers
        3.2.1 Major Buyers in Automobile

        3.2.2 Major Buyers in Electronic


4 Market Segment: by Type
    4.1 Deep Learning in Machine Vision Type Introduction
        4.1.1 Hardware

        4.1.2 Software
    4.2 Global Deep Learning in Machine Vision Revenue by Type 2016-2021

5 Market Segment: by Application
    5.1 Deep Learning in Machine Vision Type Introduction
        5.1.1 Automobile

        5.1.2 Electronic

        5.1.3 Food and Drink

        5.1.3 Health Care

        5.1.4 Aerospace and Defense

        5.1.5 Others
    5.2 Global Deep Learning in Machine Vision Revenue by Application 2016-2021

6 Marke Segment: by Region
    6.1 Global Deep Learning in Machine Vision Market by Region
    6.2 North America Deep Learning in Machine Vision Market 2016-2021
    6.3 Europe Deep Learning in Machine Vision Market 2016-2021
    6.4 Asia Pacific Deep Learning in Machine Vision Market 2016-2021
    6.5 South America Deep Learning in Machine Vision Market 2016-2021
    6.6 Middle East and Africa Deep Learning in Machine Vision Market 2016-2021

7 North America
    7.1 North America Deep Learning in Machine Vision Market by Country 2016-2021
    7.2 United States
    7.3 Canada
    7.4 Mexico

8 Europe
    8.1 Europe Deep Learning in Machine Vision Market by Country 2016-2021
    8.2 Germany
    8.3 France
    8.4 UK
    8.5 Italy
    8.6 Russia
    8.7 Spain

9 Asia Pacific
    9.1 Asia Pacific Deep Learning in Machine Vision Market by Country 2016-2021
    9.2 China
    9.3 Japan
    9.4 Korea
    9.5 Southeast Asia
    9.6 India
    9.7 Australia

10 South America
    10.1 South America Deep Learning in Machine Vision Market by Country 2016-2021
    10.2 Brazil
    10.3 Argentina
    10.4 Colombia

11 Middle East and Africa
    11.1 Middle East and Africa Deep Learning in Machine Vision Market by Country 2016-2021
    11.2 Turkey
    11.3 Saudi Arabia
    11.4 South Africa

12 Key Participants Company Information
    12.1 IFLYTEK

        12.1.1 IFLYTEK
 Company Information
        12.1.2 IFLYTEK
 Deep Learning in Machine Vision Product Portfolio, Specification and Application
        12.1.3 IFLYTEK
 Deep Learning in Machine Vision Revenue and Gross Margin (2019-2021)
        12.1.4 IFLYTEK
 Key Development
    12.2 Qualcomm

        12.2.1 Qualcomm
 Company Information
        12.2.2 Qualcomm
 Deep Learning in Machine Vision Product Portfolio, Specification and Application
        12.2.3 Qualcomm
 Deep Learning in Machine Vision Revenue and Gross Margin (2019-2021)
        12.2.4 Qualcomm
 Key Development
    12.3 NVIDIA

        12.3.1 NVIDIA
 Company Information
        12.3.2 NVIDIA
 Deep Learning in Machine Vision Product Portfolio, Specification and Application
        12.3.3 NVIDIA
 Deep Learning in Machine Vision Revenue and Gross Margin (2019-2021)
        12.3.4 NVIDIA
 Key Development
    12.4 NavInfo

        12.4.1 NavInfo
 Company Information
        12.4.2 NavInfo
 Deep Learning in Machine Vision Product Portfolio, Specification and Application
        12.4.3 NavInfo
 Deep Learning in Machine Vision Revenue and Gross Margin (2019-2021)
        12.4.4 NavInfo
 Key Development
    12.5 Intel

        12.5.1 Intel
 Company Information
        12.5.2 Intel
 Deep Learning in Machine Vision Product Portfolio, Specification and Application
        12.5.3 Intel
 Deep Learning in Machine Vision Revenue and Gross Margin (2019-2021)
        12.5.4 Intel
 Key Development
    12.6 Beijing Megvii

        12.6.1 Beijing Megvii
 Company Information
        12.6.2 Beijing Megvii
 Deep Learning in Machine Vision Product Portfolio, Specification and Application
        12.6.3 Beijing Megvii
 Deep Learning in Machine Vision Revenue and Gross Margin (2019-2021)
        12.6.4 Beijing Megvii
 Key Development
    12.7 4Paradigm

        12.7.1 4Paradigm
 Company Information
        12.7.2 4Paradigm
 Deep Learning in Machine Vision Product Portfolio, Specification and Application
        12.7.3 4Paradigm
 Deep Learning in Machine Vision Revenue and Gross Margin (2019-2021)
        12.7.4 Beijing Megvii
 Key Development

13 Global Deep Learning in Machine Vision Market Forecast by Region by Type and by Application
    13.1 Global Deep Learning in Machine Vision Revenue Forecast 2022-2027
    13.2 Global Deep Learning in Machine Vision Forecast by Regions
    13.3 Global Deep Learning in Machine Vision Forecast by Type
    13.4 Global Deep Learning in Machine Vision Forecast by Application

14 Analyst Views and Conclusions

15 Methodology and Data Source
    15.1 Methodology
    15.2 Research Data Source
        15.2.1 Secondary Data
        15.2.2 Primary Data
        15.2.3 Market Size Estimation
    15.3 Legal Disclaimer

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