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Machine Vision Camera Market to Reach USD 10.19 Billion by 2030
Machine vision cameras grow from USD 6.73B in 2025 to USD 10.19B by 2030 at 8.6% CAGR; visible/IR hits 10.0% CAGR and Asia Pacific holds 41% share.
By Sophie Lindqvist3 min read634 words
Features
- Market grows from USD 6.73 billion in 2025 to USD 10.19 billion by 2030, an 8.6% CAGR (MarketsandMarkets).
- The visible and IR segment posts the highest spectrum CAGR at 10.0%.
- Cameras above 125 fps form the fastest-growing frame-rate segment, 2025–2030.
- Asia Pacific held a 41% market share in 2024 and leads regional growth.
- A shortage of skilled machine vision engineers could delay deployment timelines.

MarketsandMarkets projects the machine vision camera market will grow from USD 6.73 billion in 2025 to USD 10.19 billion by 2030, a compound annual growth rate of 8.6%. The forecast appears in the firm's "Machine Vision Camera Market—Global Forecast to 2030" report, which compiles 201 data tables and 70 figures across 280 pages, with market sizing covering 2020 through 2030.
For test and measurement engineers, the numbers sketch where imaging budgets are heading. Automation is the primary driver: electronics, automotive, and packaging manufacturers are buying cameras to improve defect detection and production accuracy through high-speed, high-resolution imaging.
Which camera segments grow fastest?
Three segment-level forecasts stand out:
- Imaging spectrum: The visible and IR segment will post the highest CAGR among spectrum categories, at 10.0% from 2025 to 2030.
- Frame rate: Cameras above 125 fps will grow fastest over the forecast period.
- Region: Asia Pacific already held a 41% share in 2024 and is forecast to register the highest regional growth rate through 2030.
The visible-spectrum camera segment will hold the largest overall share throughout the forecast. The report attributes this to wide applicability and cost-effectiveness across electronics manufacturing, automotive assembly, packaging, and food processing — tasks such as component inspection, surface defect detection, label verification, and assembly validation. High-resolution output, fast processing, and compatibility with standard lighting conditions suit these cameras to high-speed production lines.
The 25–125 fps segment will capture the second-largest share by frame rate. Cameras in this band balance speed, resolution, and processing efficiency for industrial inspection that needs fast but detailed imaging, spanning electronics assembly, automotive inspection, and packaging verification.
What hardware underpins the growth?
Advances in CMOS sensor technology and high-bandwidth interfaces — GigE, CoaXPress, and USB3 — are boosting data transfer and imaging performance, particularly in complex inspection environments. The report notes ongoing developments in CMOS sensors, global shutter technology, and high-bandwidth interfaces as continuous performance improvers for visible-spectrum cameras.
On the architecture side, smart cameras and edge AI vision systems are gaining deployment in factory automation and logistics. Expansion in semiconductor fabrication, EV battery production, and electronics assembly is adding demand for precision imaging.
Which end industry leads adoption?
The food and beverage industry is expected to register the highest CAGR by industry through 2030. Machine vision cameras in this sector handle contamination detection, label and packaging verification, fill-level inspection, and surface defect identification on fast-moving lines in real time, reducing errors and waste. Stricter regulatory standards, rising automation, and consumer demand for consistent product quality reinforce the trend.
Asia Pacific's dominance rests on rapid industrialization, manufacturing expansion, and government support for automation and digital transformation. China, Japan, South Korea, and India are investing heavily in electronics production, semiconductor fabrication, EV manufacturing, and advanced packaging lines, alongside rapid uptake of smart factories, robotics, and AI-driven inspection.
What could slow deployment?
The report flags one constraint: a shortage of skilled machine vision engineers for system integration. That shortage could delay deployment timelines and hinder adoption in advanced manufacturing settings — a bottleneck more likely to pace individual projects than the aggregate market trajectory.
The vendor landscape remains concentrated among established industrial imaging suppliers: Keyence (Japan), Basler AG (Germany), Cognex (US), Teledyne Technologies (US), Sony (Japan), Omron (Japan), Panasonic (Japan), SICK AG (Germany), AMETEK (US), Canon (Japan), TKH Group (Netherlands), Emerson Electric (US), Toshiba Teli (Japan), JAI A/S (Denmark), and IDS Imaging Development Systems (Germany).
One caveat for buyers reading the forecast: these figures are market-research projections, not measured shipment data. The practical question the report raises for integration teams is whether the >125 fps and visible/IR segments grow fast enough to outpace the availability of engineers qualified to commission and validate those systems on the factory floor.
via bisinfotech.com (Original)
Filed under
- machine-vision-cameras
- industrial-automation
- cmos-sensors
- smart-cameras
- market-forecast
More from Sophie Lindqvist
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News editor covering marketplaces and e-commerce at Testbench Report.
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