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Global Deep Learning in Machine Vision Market Research Report 2024

Global Deep Learning in Machine Vision Market Research Report 2024

Publishing Date : Jan, 2024

License Type :
 

Report Code : 1706793

No of Pages : 73

Synopsis

The global Deep Learning in Machine Vision market was valued at US$ 182.2 million in 2023 and is anticipated to reach US$ 3925.5 million by 2030, witnessing a CAGR of 54.4% during the forecast period 2024-2030.

North American market for Deep Learning in Machine Vision is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.

Asia-Pacific market for Deep Learning in Machine Vision is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.

The global market for Deep Learning in Machine Vision in Automobile is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.

The major global companies of Deep Learning in Machine Vision include IFLYTEK, NavInfo, NVIDIA, Qualcomm, Intel, Beijing Megvii and 4Paradigm, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.

This report aims to provide a comprehensive presentation of the global market for Deep Learning in Machine Vision, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Deep Learning in Machine Vision.

Report Scope

The Deep Learning in Machine Vision market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Deep Learning in Machine Vision market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.

For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.

The report will help the Deep Learning in Machine Vision companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.

Market Segmentation

By Company

  • IFLYTEK
  • NavInfo
  • NVIDIA
  • Qualcomm
  • Intel
  • Beijing Megvii
  • 4Paradigm

Segment by Type

  • Hardware
  • Software

Segment by Application

  • Automobile
  • Electronic
  • Food and Drink
  • Health Care
  • Aerospace and Defense
  • Others

By Region

  • North America (United States, Canada)
  • Europe (Germany, France, U.K., Italy, Netherlands)
  • Asia-Pacific (China, Japan, South Korea, China Taiwan, Southeast Asia, India)
  • Latin America, Middle East & Africa (Latin America, Mexico, Brazil, Turkey)

Chapter Outline

Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Deep Learning in Machine Vision companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Index

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Deep Learning in Machine Vision Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Hardware
1.2.3 Software
1.3 Market by Application
1.3.1 Global Deep Learning in Machine Vision Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Automobile
1.3.3 Electronic
1.3.4 Food and Drink
1.3.5 Health Care
1.3.6 Aerospace and Defense
1.3.7 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Deep Learning in Machine Vision Market Perspective (2019-2030)
2.2 Deep Learning in Machine Vision Growth Trends by Region
2.2.1 Global Deep Learning in Machine Vision Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Deep Learning in Machine Vision Historic Market Size by Region (2019-2024)
2.2.3 Deep Learning in Machine Vision Forecasted Market Size by Region (2025-2030)
2.3 Deep Learning in Machine Vision Market Dynamics
2.3.1 Deep Learning in Machine Vision Industry Trends
2.3.2 Deep Learning in Machine Vision Market Drivers
2.3.3 Deep Learning in Machine Vision Market Challenges
2.3.4 Deep Learning in Machine Vision Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Deep Learning in Machine Vision Players by Revenue
3.1.1 Global Top Deep Learning in Machine Vision Players by Revenue (2019-2024)
3.1.2 Global Deep Learning in Machine Vision Revenue Market Share by Players (2019-2024)
3.2 Global Deep Learning in Machine Vision Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Deep Learning in Machine Vision Revenue
3.4 Global Deep Learning in Machine Vision Market Concentration Ratio
3.4.1 Global Deep Learning in Machine Vision Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Deep Learning in Machine Vision Revenue in 2023
3.5 Deep Learning in Machine Vision Key Players Head office and Area Served
3.6 Key Players Deep Learning in Machine Vision Product Solution and Service
3.7 Date of Enter into Deep Learning in Machine Vision Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Deep Learning in Machine Vision Breakdown Data by Type
4.1 Global Deep Learning in Machine Vision Historic Market Size by Type (2019-2024)
4.2 Global Deep Learning in Machine Vision Forecasted Market Size by Type (2025-2030)
5 Deep Learning in Machine Vision Breakdown Data by Application
5.1 Global Deep Learning in Machine Vision Historic Market Size by Application (2019-2024)
5.2 Global Deep Learning in Machine Vision Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Deep Learning in Machine Vision Market Size (2019-2030)
6.2 North America Deep Learning in Machine Vision Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Deep Learning in Machine Vision Market Size by Country (2019-2024)
6.4 North America Deep Learning in Machine Vision Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Deep Learning in Machine Vision Market Size (2019-2030)
7.2 Europe Deep Learning in Machine Vision Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Deep Learning in Machine Vision Market Size by Country (2019-2024)
7.4 Europe Deep Learning in Machine Vision Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Deep Learning in Machine Vision Market Size (2019-2030)
8.2 Asia-Pacific Deep Learning in Machine Vision Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Deep Learning in Machine Vision Market Size by Region (2019-2024)
8.4 Asia-Pacific Deep Learning in Machine Vision Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Deep Learning in Machine Vision Market Size (2019-2030)
9.2 Latin America Deep Learning in Machine Vision Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Deep Learning in Machine Vision Market Size by Country (2019-2024)
9.4 Latin America Deep Learning in Machine Vision Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Deep Learning in Machine Vision Market Size (2019-2030)
10.2 Middle East & Africa Deep Learning in Machine Vision Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Deep Learning in Machine Vision Market Size by Country (2019-2024)
10.4 Middle East & Africa Deep Learning in Machine Vision Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IFLYTEK
11.1.1 IFLYTEK Company Detail
11.1.2 IFLYTEK Business Overview
11.1.3 IFLYTEK Deep Learning in Machine Vision Introduction
11.1.4 IFLYTEK Revenue in Deep Learning in Machine Vision Business (2019-2024)
11.1.5 IFLYTEK Recent Development
11.2 NavInfo
11.2.1 NavInfo Company Detail
11.2.2 NavInfo Business Overview
11.2.3 NavInfo Deep Learning in Machine Vision Introduction
11.2.4 NavInfo Revenue in Deep Learning in Machine Vision Business (2019-2024)
11.2.5 NavInfo Recent Development
11.3 NVIDIA
11.3.1 NVIDIA Company Detail
11.3.2 NVIDIA Business Overview
11.3.3 NVIDIA Deep Learning in Machine Vision Introduction
11.3.4 NVIDIA Revenue in Deep Learning in Machine Vision Business (2019-2024)
11.3.5 NVIDIA Recent Development
11.4 Qualcomm
11.4.1 Qualcomm Company Detail
11.4.2 Qualcomm Business Overview
11.4.3 Qualcomm Deep Learning in Machine Vision Introduction
11.4.4 Qualcomm Revenue in Deep Learning in Machine Vision Business (2019-2024)
11.4.5 Qualcomm Recent Development
11.5 Intel
11.5.1 Intel Company Detail
11.5.2 Intel Business Overview
11.5.3 Intel Deep Learning in Machine Vision Introduction
11.5.4 Intel Revenue in Deep Learning in Machine Vision Business (2019-2024)
11.5.5 Intel Recent Development
11.6 Beijing Megvii
11.6.1 Beijing Megvii Company Detail
11.6.2 Beijing Megvii Business Overview
11.6.3 Beijing Megvii Deep Learning in Machine Vision Introduction
11.6.4 Beijing Megvii Revenue in Deep Learning in Machine Vision Business (2019-2024)
11.6.5 Beijing Megvii Recent Development
11.7 4Paradigm
11.7.1 4Paradigm Company Detail
11.7.2 4Paradigm Business Overview
11.7.3 4Paradigm Deep Learning in Machine Vision Introduction
11.7.4 4Paradigm Revenue in Deep Learning in Machine Vision Business (2019-2024)
11.7.5 4Paradigm Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details

Published By : QY Research

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