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Home > Visual Deep Learning - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Visual Deep Learning - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID: 
PB510247011
Publication Date: 
October 3, 2024
Pages: 
159
Publisher: 
MRRPB5
Countries: 
Global [1]
USD 3,950.00

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IT Services [2]
Computing & Electronics [3]
Description: 

The global market for Visual Deep Learning was estimated to be worth US$ 11350 million in 2023 and is forecast to a readjusted size of US$ 21820 million by 2030 with a CAGR of 10.5% during the forecast period 2024-2030
North American market for Visual Deep Learning was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Visual Deep Learning was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Europe market for Visual Deep Learning was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global key companies of Visual Deep Learning include Keyence, Cognex, SenseTime, OMRON, Teledyne, Basler, Megvii Technology, OPT Machine Vision Tech and Daheng New Epoch Technology, etc. In 2023, the global five largest players hold a share approximately % in terms of revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Visual Deep Learning, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Visual Deep Learning by region & country, by Type, and by Application.
The Visual Deep Learning market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. 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 Visual Deep Learning.
Market Segmentation
By Company
Keyence
Cognex
SenseTime
OMRON
Teledyne
Basler
Megvii Technology
OPT Machine Vision Tech
Daheng New Epoch Technology
YITU Technology
CloudWalk Technology
ArcSoft
Hikvision
Shenzhen Intellifusion Technologies
Dahua Technology
Deep Glint International
Sony
TKH Group
FLIR
Toshiba Teli
Baumer Holding AG
Stemmer Imaging AG
Segment by Type:
Hardware
Software & Service
Segment by Application
City Management
Rail Transit Operation and Maintenance
Industrial Manufacturing
Bank
Power Industry
Other
By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Visual Deep Learning manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: 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 4: 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 5: Revenue of Visual Deep Learning in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Visual Deep Learning in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

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Table Of Contents: 

1 Market Overview
1.1 Visual Deep Learning Product Introduction
1.2 Global Visual Deep Learning Market Size Forecast
1.3 Visual Deep Learning Market Trends & Drivers
1.3.1 Visual Deep Learning Industry Trends
1.3.2 Visual Deep Learning Market Drivers & Opportunity
1.3.3 Visual Deep Learning Market Challenges
1.3.4 Visual Deep Learning Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Visual Deep Learning Players Revenue Ranking (2023)
2.2 Global Visual Deep Learning Revenue by Company (2019-2024)
2.3 Key Companies Visual Deep Learning Manufacturing Base Distribution and Headquarters
2.4 Key Companies Visual Deep Learning Product Offered
2.5 Key Companies Time to Begin Mass Production of Visual Deep Learning
2.6 Visual Deep Learning Market Competitive Analysis
2.6.1 Visual Deep Learning Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Visual Deep Learning Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Visual Deep Learning as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Hardware
3.1.2 Software & Service
3.2 Global Visual Deep Learning Sales Value by Type
3.2.1 Global Visual Deep Learning Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Visual Deep Learning Sales Value, by Type (2019-2030)
3.2.3 Global Visual Deep Learning Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 City Management
4.1.2 Rail Transit Operation and Maintenance
4.1.3 Industrial Manufacturing
4.1.4 Bank
4.1.5 Power Industry
4.1.6 Other
4.2 Global Visual Deep Learning Sales Value by Application
4.2.1 Global Visual Deep Learning Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Visual Deep Learning Sales Value, by Application (2019-2030)
4.2.3 Global Visual Deep Learning Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Visual Deep Learning Sales Value by Region
5.1.1 Global Visual Deep Learning Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Visual Deep Learning Sales Value by Region (2019-2024)
5.1.3 Global Visual Deep Learning Sales Value by Region (2025-2030)
5.1.4 Global Visual Deep Learning Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Visual Deep Learning Sales Value, 2019-2030
5.2.2 North America Visual Deep Learning Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Visual Deep Learning Sales Value, 2019-2030
5.3.2 Europe Visual Deep Learning Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Visual Deep Learning Sales Value, 2019-2030
5.4.2 Asia Pacific Visual Deep Learning Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Visual Deep Learning Sales Value, 2019-2030
5.5.2 South America Visual Deep Learning Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Visual Deep Learning Sales Value, 2019-2030
5.6.2 Middle East & Africa Visual Deep Learning Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Visual Deep Learning Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Visual Deep Learning Sales Value
6.3 United States
6.3.1 United States Visual Deep Learning Sales Value, 2019-2030
6.3.2 United States Visual Deep Learning Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Visual Deep Learning Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Visual Deep Learning Sales Value, 2019-2030
6.4.2 Europe Visual Deep Learning Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Visual Deep Learning Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Visual Deep Learning Sales Value, 2019-2030
6.5.2 China Visual Deep Learning Sales Value by Type (%), 2023 VS 2030
6.5.3 China Visual Deep Learning Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Visual Deep Learning Sales Value, 2019-2030
6.6.2 Japan Visual Deep Learning Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Visual Deep Learning Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Visual Deep Learning Sales Value, 2019-2030
6.7.2 South Korea Visual Deep Learning Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Visual Deep Learning Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Visual Deep Learning Sales Value, 2019-2030
6.8.2 Southeast Asia Visual Deep Learning Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Visual Deep Learning Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Visual Deep Learning Sales Value, 2019-2030
6.9.2 India Visual Deep Learning Sales Value by Type (%), 2023 VS 2030
6.9.3 India Visual Deep Learning Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Keyence
7.1.1 Keyence Profile
7.1.2 Keyence Main Business
7.1.3 Keyence Visual Deep Learning Products, Services and Solutions
7.1.4 Keyence Visual Deep Learning Revenue (US$ Million) & (2019-2024)
7.1.5 Keyence Recent Developments
7.2 Cognex
7.2.1 Cognex Profile
7.2.2 Cognex Main Business
7.2.3 Cognex Visual Deep Learning Products, Services and Solutions
7.2.4 Cognex Visual Deep Learning Revenue (US$ Million) & (2019-2024)
7.2.5 Cognex Recent Developments
7.3 SenseTime
7.3.1 SenseTime Profile
7.3.2 SenseTime Main Business
7.3.3 SenseTime Visual Deep Learning Products, Services and Solutions
7.3.4 SenseTime Visual Deep Learning Revenue (US$ Million) & (2019-2024)
7.3.5 OMRON Recent Developments
7.4 OMRON
7.4.1 OMRON Profile
7.4.2 OMRON Main Business
7.4.3 OMRON Visual Deep Learning Products, Services and Solutions
7.4.4 OMRON Visual Deep Learning Revenue (US$ Million) & (2019-2024)
7.4.5 OMRON Recent Developments
7.5 Teledyne
7.5.1 Teledyne Profile
7.5.2 Teledyne Main Business
7.5.3 Teledyne Visual Deep Learning Products, Services and Solutions
7.5.4 Teledyne Visual Deep Learning Revenue (US$ Million) & (2019-2024)
7.5.5 Teledyne Recent Developments
7.6 Basler
7.6.1 Basler Profile
7.6.2 Basler Main Business
7.6.3 Basler Visual Deep Learning Products, Services and Solutions
7.6.4 Basler Visual Deep Learning Revenue (US$ Million) & (2019-2024)
7.6.5 Basler Recent Developments
7.7 Megvii Technology
7.7.1 Megvii Technology Profile
7.7.2 Megvii Technology Main Business
7.7.3 Megvii Technology Visual Deep Learning Products, Services and Solutions
7.7.4 Megvii Technology Visual Deep Learning Revenue (US$ Million) & (2019-2024)
7.7.5 Megvii Technology Recent Developments
7.8 OPT Machine Vision Tech
7.8.1 OPT Machine Vision Tech Profile
7.8.2 OPT Machine Vision Tech Main Business
7.8.3 OPT Machine Vision Tech Visual Deep Learning Products, Services and Solutions
7.8.4 OPT Machine Vision Tech Visual Deep Learning Revenue (US$ Million) & (2019-2024)
7.8.5 OPT Machine Vision Tech Recent Developments
7.9 Daheng New Epoch Technology
7.9.1 Daheng New Epoch Technology Profile
7.9.2 Daheng New Epoch Technology Main Business
7.9.3 Daheng New Epoch Technology Visual Deep Learning Products, Services and Solutions
7.9.4 Daheng New Epoch Technology Visual Deep Learning Revenue (US$ Million) & (2019-2024)
7.9.5 Daheng New Epoch Technology Recent Developments
7.10 YITU Technology
7.10.1 YITU Technology Profile
7.10.2 YITU Technology Main Business
7.10.3 YITU Technology Visual Deep Learning Products, Services and Solutions
7.10.4 YITU Technology Visual Deep Learning Revenue (US$ Million) & (2019-2024)
7.10.5 YITU Technology Recent Developments
7.11 CloudWalk Technology
7.11.1 CloudWalk Technology Profile
7.11.2 CloudWalk Technology Main Business
7.11.3 CloudWalk Technology Visual Deep Learning Products, Services and Solutions
7.11.4 CloudWalk Technology Visual Deep Learning Revenue (US$ Million) & (2019-2024)
7.11.5 CloudWalk Technology Recent Developments
7.12 ArcSoft
7.12.1 ArcSoft Profile
7.12.2 ArcSoft Main Business
7.12.3 ArcSoft Visual Deep Learning Products, Services and Solutions
7.12.4 ArcSoft Visual Deep Learning Revenue (US$ Million) & (2019-2024)
7.12.5 ArcSoft Recent Developments
7.13 Hikvision
7.13.1 Hikvision Profile
7.13.2 Hikvision Main Business
7.13.3 Hikvision Visual Deep Learning Products, Services and Solutions
7.13.4 Hikvision Visual Deep Learning Revenue (US$ Million) & (2019-2024)
7.13.5 Hikvision Recent Developments
7.14 Shenzhen Intellifusion Technologies
7.14.1 Shenzhen Intellifusion Technologies Profile
7.14.2 Shenzhen Intellifusion Technologies Main Business
7.14.3 Shenzhen Intellifusion Technologies Visual Deep Learning Products, Services and Solutions
7.14.4 Shenzhen Intellifusion Technologies Visual Deep Learning Revenue (US$ Million) & (2019-2024)
7.14.5 Shenzhen Intellifusion Technologies Recent Developments
7.15 Dahua Technology
7.15.1 Dahua Technology Profile
7.15.2 Dahua Technology Main Business
7.15.3 Dahua Technology Visual Deep Learning Products, Services and Solutions
7.15.4 Dahua Technology Visual Deep Learning Revenue (US$ Million) & (2019-2024)
7.15.5 Dahua Technology Recent Developments
7.16 Deep Glint International
7.16.1 Deep Glint International Profile
7.16.2 Deep Glint International Main Business
7.16.3 Deep Glint International Visual Deep Learning Products, Services and Solutions
7.16.4 Deep Glint International Visual Deep Learning Revenue (US$ Million) & (2019-2024)
7.16.5 Deep Glint International Recent Developments
7.17 Sony
7.17.1 Sony Profile
7.17.2 Sony Main Business
7.17.3 Sony Visual Deep Learning Products, Services and Solutions
7.17.4 Sony Visual Deep Learning Revenue (US$ Million) & (2019-2024)
7.17.5 Sony Recent Developments
7.18 TKH Group
7.18.1 TKH Group Profile
7.18.2 TKH Group Main Business
7.18.3 TKH Group Visual Deep Learning Products, Services and Solutions
7.18.4 TKH Group Visual Deep Learning Revenue (US$ Million) & (2019-2024)
7.18.5 TKH Group Recent Developments
7.19 FLIR
7.19.1 FLIR Profile
7.19.2 FLIR Main Business
7.19.3 FLIR Visual Deep Learning Products, Services and Solutions
7.19.4 FLIR Visual Deep Learning Revenue (US$ Million) & (2019-2024)
7.19.5 FLIR Recent Developments
7.20 Toshiba Teli
7.20.1 Toshiba Teli Profile
7.20.2 Toshiba Teli Main Business
7.20.3 Toshiba Teli Visual Deep Learning Products, Services and Solutions
7.20.4 Toshiba Teli Visual Deep Learning Revenue (US$ Million) & (2019-2024)
7.20.5 Toshiba Teli Recent Developments
7.21 Baumer Holding AG
7.21.1 Baumer Holding AG Profile
7.21.2 Baumer Holding AG Main Business
7.21.3 Baumer Holding AG Visual Deep Learning Products, Services and Solutions
7.21.4 Baumer Holding AG Visual Deep Learning Revenue (US$ Million) & (2019-2024)
7.21.5 Baumer Holding AG Recent Developments
7.22 Stemmer Imaging AG
7.22.1 Stemmer Imaging AG Profile
7.22.2 Stemmer Imaging AG Main Business
7.22.3 Stemmer Imaging AG Visual Deep Learning Products, Services and Solutions
7.22.4 Stemmer Imaging AG Visual Deep Learning Revenue (US$ Million) & (2019-2024)
7.22.5 Stemmer Imaging AG Recent Developments
8 Industry Chain Analysis
8.1 Visual Deep Learning Industrial Chain
8.2 Visual Deep Learning Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Visual Deep Learning Sales Model
8.5.2 Sales Channel
8.5.3 Visual Deep Learning Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer

Companies Mentioned: 

Keyence
Cognex
SenseTime
OMRON
Teledyne
Basler
Megvii Technology
OPT Machine Vision Tech
Daheng New Epoch Technology
YITU Technology
CloudWalk Technology
ArcSoft
Hikvision
Shenzhen Intellifusion Technologies
Dahua Technology
Deep Glint International
Sony
TKH Group
FLIR
Toshiba Teli
Baumer Holding AG
Stemmer Imaging AG

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