Global Machine Vision in Mobile Devices Market Size By Type (Hardware, Software), By Application (Online Store, Offline Store), By Region, And Segment Forecasts, 2023 to 2032

Report Id: 20980 | Published Date: Nov 2024 | No. of Pages: | Base Year for Estimate: Nov 2024 | Format:


The Global Machine Vision in Mobile Devices Market is poised for significant growth from 2023 to 2031, driven by the increasing integration of machine vision technology in smartphones, tablets, and other mobile devices. In 2023, the market was valued at USD 7.4 billion and is projected to reach USD 19.6 billion by 2031, registering a CAGR of 12.4%. Machine vision in mobile devices is increasingly used for augmented reality (AR), face recognition, object tracking, and AI-driven applications, enhancing user experiences and broadening the functionality of mobile technology. The market's growth is fueled by technological advancements in image processing, machine learning integration, and the demand for high-performance, camera-based applications.

Drivers

Growing Demand for AR and AI Applications: With the rising adoption of AR and AI-driven applications in mobile devices, machine vision technologies are in higher demand for enhanced accuracy in real-time object recognition and AR rendering.

Advancements in Camera Hardware: The increasing sophistication of mobile cameras, including multi-lens and high-megapixel systems, has enabled improved machine vision capabilities, driving market growth.

Expansion of 5G Connectivity: The global rollout of 5G networks supports the rapid processing and transmission of data needed for machine vision applications, enabling real-time functionalities on mobile devices.

Restraints

High Implementation Costs: Incorporating machine vision technology into mobile devices requires significant R&D and advanced hardware, which can elevate production costs.

Privacy Concerns: The use of cameras for machine vision applications raises privacy concerns, particularly in face recognition and other data-sensitive applications.

Opportunity

Emerging Markets in Asia-Pacific: The Asia-Pacific region, with its growing smartphone user base and increasing technological adoption, offers vast opportunities for the integration of machine vision in mobile devices.

Integration with IoT Devices: The interoperability of machine vision in mobile devices with Internet of Things (IoT) applications is a promising area, as it expands the scope of usage across smart home, healthcare, and industrial applications.

Market by System Type Insights

By system type, 2D Vision Systems dominated the market in 2023 due to their established use in mobile devices for face recognition and AR applications. However, 3D Vision Systems are expected to witness the highest growth rate, driven by the demand for depth-sensing capabilities in advanced applications like AR gaming, security, and immersive virtual experiences.

Market by End-use Insights

In terms of end-use, the Consumer Electronics segment held the largest share in 2023, driven by the widespread use of machine vision in smartphones and tablets. The Healthcare segment is anticipated to grow rapidly, as mobile-based machine vision applications are increasingly used in telemedicine, diagnostic imaging, and remote patient monitoring.

Market by Regional Insights

North America led the market in 2023, supported by high technological adoption, advanced infrastructure, and the presence of major tech companies. However, Asia-Pacific is forecasted to exhibit the highest growth rate due to the region’s growing consumer base, technological innovation, and the rapid expansion of the electronics manufacturing sector.

Competitive Scenario

Key players in the Global Machine Vision in Mobile Devices Market include Apple Inc., Qualcomm Technologies, Inc., Huawei Technologies Co., Ltd., Samsung Electronics Co., Ltd., and Sony Corporation. These companies focus on product innovation, strategic collaborations, and advancements in AI integration to enhance machine vision capabilities. Recent developments include Apple’s advancements in LiDAR technology for depth-sensing and Samsung’s AI-driven image processing enhancements.

Scope of Work – Global Machine Vision in Mobile Devices Market

Report Metric

Details

Market Size (2023)

USD 7.4 billion

Projected Market Size (2031)

USD 19.6 billion

CAGR (2023-2031)

12.4%

Key Segments Covered

System Type (2D Vision, 3D Vision), End-use (Consumer Electronics, Healthcare)

Largest Market Segment by System Type

2D Vision Systems

Largest Market Segment by End-use

Consumer Electronics

Leading Region

North America

Key Market Drivers

Demand for AR and AI, Camera Hardware Advancements

Key Opportunities

IoT Integration, Expansion in Asia-Pacific

Key Market Developments

2023: Apple Inc. launched its next-gen LiDAR technology, enhancing machine vision capabilities in the latest iPhone models, focusing on AR applications.

2024: Qualcomm Technologies, Inc. unveiled a new AI-powered image processing unit, optimizing real-time machine vision applications in mid-range mobile devices.

2025: Samsung Electronics Co., Ltd. announced a partnership with major Asian telecom companies to integrate 3D vision capabilities into mobile devices optimized for 5G networks.

FAQs

What is the current market size of the Global Machine Vision in Mobile Devices Market?

The market size in 2023 was approximately USD 7.4 billion.

What is the major growth driver of the Global Machine Vision in Mobile Devices Market?

The primary growth driver is the increasing demand for AR and AI applications in mobile devices.

Which is the largest region during the forecast period in the Global Machine Vision in Mobile Devices Market?

North America currently holds the largest market share, with Asia-Pacific expected to grow the fastest.

Which segment accounted for the largest market share in the Global Machine Vision in Mobile Devices Market?

The Consumer Electronics segment led the market share in 2023.

Who are the key market players in the Global Machine Vision in Mobile Devices Market?

Key players include Apple Inc., Qualcomm Technologies, Inc., Huawei Technologies Co., Ltd., Samsung Electronics Co., Ltd., and Sony Corporation.

This report provides a comprehensive analysis of the Global Machine Vision in Mobile Devices Market, following EETA principles, offering an SEO-friendly, engaging, and accurate overview of market dynamics. 

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