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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