Global Visual AI Competitive Landscape Professional Research Report 2024

Global Visual AI Competitive Landscape Professional Research Report 2024

Research Summary

Visual AI, or Visual Artificial Intelligence, refers to the use of artificial intelligence (AI) technologies to interpret and understand visual information, such as images or videos. Visual AI systems utilize machine learning algorithms and deep learning techniques to analyze and extract meaningful insights from visual data, enabling them to perform tasks such as image recognition, object detection, classification, segmentation, and scene understanding. These systems can recognize objects, people, text, facial expressions, and other visual elements within images or videos with high accuracy and efficiency. Visual AI has numerous applications across various industries, including autonomous vehicles, healthcare, retail, manufacturing, security, agriculture, and entertainment. It enables advancements in areas such as computer vision, robotics, augmented reality, virtual reality, and image processing, driving innovation and transforming how we interact with and understand the visual world around us.

According to DIResearch's in-depth investigation and research, the global Visual AI market size will reach XX US$ Million in 2024, and is expected to reach XX US$ Million in 2030, with a CAGR of XX% (2025-2030). Among them, the China market has changed rapidly in the past few years. The market size in 2024 will be XX US$ Million, accounting for approximately XX% of the world. It is expected to reach XX US$ Million in 2030, and the global share will reach XX%.

The major global manufacturers of Visual AI include 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 etc. The global players competition landscape in this report is divided into three tiers. The first tiers is the global leading enterprise, which occupies a major market share, is in a leading position in the industry, has strong competitiveness and influence, and has a large revenue scale; the second tiers has a certain share and popularity in the market, actively follows the industry leaders in product, service or technological innovation, and has a medium revenue scale; the third tiers has a smaller share in the market, has a lower brand awareness, mainly focuses on the local market, and has a relatively small revenue scale.

This report studies the market size, price trends and future development prospects of Visual AI. Focus on analysing the market share, product portfolio, revenue and gross profit margin of global major manufacturers, as well as the market status and trends of different product types and applications in the global Visual AI market. The report data covers historical data from 2019 to 2023, base year in 2024 and forecast data from 2025 to 2030.

The regions and countries in the report include North America, Europe, China, APAC (excl. China), Latin America and Middle East and Africa, covering the Visual AI market conditions and future development trends of key regions and countries, combined with industry-related policies and the latest technological developments, analyze the development characteristics of Visual AI industries in various regions and countries, help companies understand the development characteristics of each region, help companies formulate business strategies, and achieve the ultimate goal of the company's global development strategy.

The data sources of this report mainly include the National Bureau of Statistics, customs databases, industry associations, corporate financial reports, third-party databases, etc. Among them, macroeconomic data mainly comes from the National Bureau of Statistics, International Economic Research Organization; industry statistical data mainly come from industry associations; company data mainly comes from interviews, public information collection, third-party reliable databases, and price data mainly comes from various markets monitoring database.

Global Key Manufacturers of Visual AI Include:

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

Visual AI Product Segment Include:

Hardware

Software & Service

Visual AI Product Application Include:

City Management

Rail Transit Operation and Maintenance

Industrial Manufacturing

Bank

Power Industry

Other

Chapter Scope

Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trends

Chapter 2: Global Visual AI Industry PESTEL Analysis

Chapter 3: Global Visual AI Industry Porter’s Five Forces Analysis

Chapter 4: Global Visual AI Major Regional Market Size and Forecast Analysis

Chapter 5: Global Visual AI Market Size and Forecast by Type and Application Analysis

Chapter 6: North America Visual AI Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 7: Europe Visual AI Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 8: China Visual AI Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 9: APAC (Excl. China) Visual AI Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 10: Latin America Visual AI Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 11: Middle East and Africa Visual AI Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 12: Global Visual AI Competitive Analysis of Key Manufacturers (Revenue, Market Share, Regional Distribution and Industry Concentration)

Chapter 13: Key Company Profiles (Product Portfolio, Revenue and Gross Margin)

Chapter 14: Industrial Chain Analysis, Include Raw Material Suppliers, Distributors and Customers

Chapter 15: Research Findings and Conclusion

Chapter 16: Methodology and Data Sources