Computer Vision Market Size and Share

Computer Vision Market Analysis by Mordor Intelligence
The Computer Vision Market size is estimated at USD 28.40 billion in 2025, and is expected to reach USD 58.60 billion by 2030, at a CAGR of 16% during the forecast period (2025-2030).
Growth pivots around faster edge-AI chipsets that move inference from cloud servers to on-device processors, a shift encouraged by stricter automotive and manufacturing regulations that insist on real-time, auditable inspection data. Demand also benefits from acute labor shortages on factory floors, increasing use of vision-guided robotic,s and wider industrial camera uptake across Asia-Pacific’s export-oriented plant,s Sohu. Simultaneously, automotive OEMs implement multi-camera ADAS suites to comply with EU General Safety Regulation II, turning regulatory deadlines into volume shipments for embedded visionsensorsr. Export-control rules on advanced chips tighten supply for Tier 2 economies, yet they accelerate domestic semiconductor investments, altering competitive dynamics in the computer vision market.
Key Report Takeaways
- By component, hardware captured 68.0% of the computer vision market share in 2024, while edge-AI chipsets are projected to expand at a 24.5% CAGR to 2030.
- By end-user industry, manufacturing led with a 37.5% revenue share in 2024; automotive ADAS applications are forecast to grow at 21.0% CAGR through 2030.
- By geography, Asia-Pacific commanded 41.0% of the computer vision market in 2024; the Middle East is set to advance at 17.2% CAGR between 2025-2030.
- Keyence, LMI, and Hikvision together held 59.7% share of China’s 3D industrial camera segment in 2024, underscoring vendor concentration in precision vision gear
Global Computer Vision Market Trends and Insights
Drivers Impact Analysis
Driver | (~) % Impact on CAGR Forecast | Geographic Relevance | Impact Timeline |
---|---|---|---|
Rising adoption of vision-guided robotics in manufacturing | +3.20% | APAC & North America | Medium term (2-4 years) |
Stringent quality-control mandates across regulated industries | +2.80% | North America & EU | Short term (≤2 years) |
Surge in automotive ADAS camera integration | +4.10% | Global | Short term (≤2 years) |
Edge-AI chipsets lowering latency & power for on-device vision | +3.50% | Global developed markets | Medium term (2-4 years) |
Source: Mordor Intelligence
Rising Adoption of Vision-Guided Robotics in Manufacturing
Plant managers escalate automation beyond pick-and-place routines as collaborative robots equipped with advanced vision now handle assembly verification and defect inspection that previously required human eyes. NIST classifies machine vision as an enabling pillar for robotic flexibility, especially in semiconductor and biomanufacturing cleanrooms where sub-micron tolerances are non-negotiable.[1]National Institute of Standards and Technology, “Robot Systems with Machine Vision,” nist.gov Hyundai’s electronics lines report higher first-pass yield after introducing mobile robots that retrain algorithms on mixed data sets, keeping models current without halting production. Vision-guided cobots also underpin predictive maintenance, identifying tool wear before failures disrupt schedules. Return on investment outperforms humanoid robotics, widening use in construction and agritech, where unstructured settings once resisted automation. Together, these shifts reshape factory economics by curbing reliance on scarce skilled labor and boosting throughput consistency in high-mix lines.
Stringent Quality-Control Mandates Across Regulated Industries
Regulators now view automated optical inspection as essential after repeated recalls exposed limitations of manual checks. EU General Safety Regulation II obliges automakers to embed pedestrian-detection cameras and emergency-braking logic from July 2024, compelling tier-one suppliers to redesign electronic control units around vision models. Pharmaceutical packagers deploy deep-learning vision to verify blister-seal integrity and label accuracy, aligning with FDA validation guidelines for automated inspection. Food processors integrate Cognex In-Sight sensors that achieve 100% foreign-object detection, reducing contamination callbacks and strengthening audit trails.[2]Cognex Corporation, “In-Sight Vision Sensors for Food Safety,” cognex.comEnvironmental agencies likewise demand continuous video evidence of effluent compliance, turning vision systems from discretionary spend into risk-mitigation assets that influence procurement decisions.
Surge in Automotive ADAS Camera Integration
Automatic emergency braking becomes mandatory for all US light vehicles by September 2029, a rule expected to inject near-universal multi-camera systems into the passenger fleet. Europe already expands mandates to driver monitoring and intelligent speed assistance, requiring cameras capable of face tracking, eyelid closure, and time-of-flight depth estimation. Software-defined vehicle architectures allow over-the-air upgrades, translating initial hardware install into recurring revenue for algorithm licensers. Parallel growth of augmented-reality head-up displays pushes cabin-facing vision workloads onto edge inferencing chips co-packaged with radar and LiDAR fusion, shrinking latency below 20 ms for safety-critical interventions.
Edge-AI Chipsets Lowering Latency & Power for On-Device Vision
Next-generation inference silicon from NTT processes 4K video locally, cutting round-trip delays to sub-10 ms, a prerequisite for high-speed robotic arms and autonomous vehicles. Qualcomm’s on-prem AI appliance demonstrates 60% total cost reduction versus cloud-hosted workflows after eliminating bandwidth charges and privacy-related compliance audits. Neuromorphic designs mimic spiking neurons, enabling long-endurance surveillance drones that run inference on a few hundred milliwatts. The economic calculus now favors front-loaded hardware spend, especially in bandwidth-constrained emerging markets and privacy-sensitive healthcare settings where cloud offload is untenable.
Restraints Impact Analysis
Restraint | (~) % Impact on CAGR Forecast | Geographic Relevance | Impact Timeline |
---|---|---|---|
Complex system-integration requirements | -2.10% | Global legacy plants | Medium term (2-4 years) |
Shortage of skilled computer-vision engineers | -1.80% | North America & Europe | Long term (≥4 years) |
Source: Mordor Intelligence
Complex System-Integration Requirements
Legacy factory lines rely on proprietary field-bus protocols and unshielded wiring that complicate the drop-in replacement of manual inspection with camera systems. Harsh shop-floor vibration and electromagnetic noise degrade image fidelity, demanding ruggedized optics and lengthy calibration cycles. [3]MDPI Editors, “System Integration Challenges for Industrial Vision,” mdpi.com When multi-sensor fusion adds LiDAR or thermal inputs, integrators must synchronize data streams across heterogeneous real-time operating systems, extending deployment timelines for small and mid-sized enterprises that lack in-house expertise. Custom middleware and safety certification inflate project budgets, sometimes eclipsing initial ROI calculations and postponing adoption.
Shortage of Skilled Computer-Vision Engineers
Universities graduate fewer professionals than the surge in vacancies for embedded-vision roles that blend optics, machine learning, and firmware. NIST warns of a widening gap as enterprise budgets chase scarce talent, driving salaries up 25% year-over-year and lengthening recruitment cycles beyond six months. Geographic clustering of expertise in Silicon Valley, Shenzhen, and Munich forces companies in secondary metros to rely on consultants, increasing costs and slowing capability transfer. Stretched human capital also constrains internal R&D, limiting rapid customization of vision algorithms that end-users increasingly request.
Segment Analysis
By Components: Hardware Dominance Drives Edge Processing Shift
In 2024 hardware accounted for 68.0% of computer vision market revenue as enterprises purchased industrial cameras, illumination units and dedicated processors to retrofit production lines. Within this total, edge-AI accelerators exhibit a 24.5% CAGR through 2030, the fastest trajectory among all sub-components, as designers replace discrete GPU farms with low-power ASICs and NPUs embedded at the image source. Camera modules remain the largest slice, yet their dollar share narrows as intelligent sensors merge image capture and inference, trimming cabling costs and latency. Optics vendors profit from hyperspectral lenses that detect material signatures beyond the visible spectrum for agriculture and recycling. On the software side, containerized inference stacks and middleware now receive annual subscription budgets larger than perpetual-license algorithms, reflecting the pivot toward continuous model retuning. The computer vision market size for hardware is forecast to exceed USD 34 billion by 2030, supported by resilient capital expenditure among automotive and electronics OEMs.
Software platforms contribute 32.0% of 2024 outlay and grow steadily as firms valorize data pipelines and DevOps integration over one-off deployments. Edge orchestration frameworks help distribute model updates across thousands of endpoints, turning device fleets into adaptive sensor networks. The shift aligns with rising cyber-security concerns that favor on-premises data handling and transparent audit trails. As a result, systems integrators bundle turnkey stacks that compress time-to-value for mid-tier factories lacking dedicated ML teams, in turn expanding addressable demand for the computer vision market.
By End-User Industry: Manufacturing Leadership Faces Automotive Disruption
Manufacturing held 37.5% of 2024 revenue, underpinned by vision-guided robotic arms that deliver consistent inspections on high-mix, low-volume lines. Electronics assemblers report defect-escape rates below 1% after deploying inline AOI cameras, while food-processing plants achieve continuous foreign-material detection at full conveyor speed. Life-science packagers integrate blister-pack verification to conform with serialization mandates, locking in multi-year service contracts for camera vendors. Collectively, these factors secured the largest slice of computer vision market share for manufacturing in the base year.
Automotive ADAS represents the fastest vertical, projected to grow at 21.0% CAGR through 2030 as global regulations codify collision-avoidance and driver-monitoring features. The computer vision market size for ADAS is expected to double before the next mid-decade model cycle, bolstered by software-defined vehicles that monetize camera data over multiple life-cycle updates. Secondary industries such as agriculture benefit from drone-based crop analytics, while retail pilots RFID-plus-vision checkout kiosks to minimize theft. Defense spending adds dual-use impetus by funding edge-vision R&D applicable to industrial inspection, broadening the demand landscape.
Geography Analysis
Asia-Pacific commanded 41.0% of the computer vision market revenue in 2024, buoyed by China’s industrial camera sales that rose from CNY 18.5 billion in 2023 to CNY 20.7 billion in 2024, a 28.35% jump tied to rapid robotics adoption. Japan’s chip foundries and South Korea’s smartphone OEMs sustain high unit demand for wafer-scale AOI tools, while India scales precision-agriculture pilots to offset climate stress on food supply. Government green-factory programs subsidize retrofits with smart cameras, anchoring a steady capital-spending stream even amid macro headwinds. Export-control policies restricting top-tier GPUs push local fabs toward domestic accelerators, gradually lifting regional self-reliance.
The Middle East exhibits the fastest trajectory at 17.2% CAGR to 2030, propelled by Saudi Arabia’s USD 100 billion AI fund and the UAE’s ambition to rank among the top 10 global AI hubs by 2031. State-backed smart-city builds in Riyadh and Dubai purchase large volumes of surveillance cameras with edge analytics for traffic flow and critical-infrastructure protection. Parallel investments in logistics automation at ports and free zones further enlarge the computer vision market in the Gulf.
North America benefits from NHTSA’s impending automatic-braking mandate, driving continuous ADAS camera shipments, while the US Department of Defense bankrolls vision-centric autonomy projects, sustaining a robust procurement c. Europe’s Industry 4.0 policy fund supports AI-powered inspection retrofits, and its strict labeling standards stimulate demand in food and pharma plants. However, talent scarcity and chip export curbs moderate near-term growth, highlighting the need for local training initiatives and diversified silicon supply.

Competitive Landscape
The computer vision market remains fragmented, with established machine-vision stalwarts defending industrial niches while start-ups chase software-centric differentiation. Keyence leads China’s 3D camera sub-segment at 41.05% share, trailed by LMI and Hikvision, proving that optical precision and channel reach still dominate brown-field retrofits. Zebra Technologies’ acquisition of Photoneo boosts depth-imaging assets, signalling consolidation around turnkey 3D vision. Saab bought CrowdAI to absorb dual-use analytics know-how, reflecting defense primes’ appetite for AI codebases.
Emerging disruptors exploit neuromorphic and hyperspectral IP; Tsinghua University’s Tianmouc chip processes 10,000 fps with one-tenth bandwidth, inspiring start-ups targeting battery-powered edge nodes. Partnerships multiply between camera OEMs and MES/ERP vendors, packaging end-to-end defect-traceability suites. Yet escalating HBM2e shortages squeeze gross margins on high-end accelerators, favoring vertically integrated players that can pre-book memory fabs. White-space persists in agriculture, waste-sorting and clinical diagnostics where domain knowledge outweighs generic imaging skills, providing runway for specialized entrants.
Computer Vision Industry Leaders
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Intel Corporation
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Cognex Corporation
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Keyence Corporation
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NVIDIA Corporation
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Qualcomm Inc.
- *Disclaimer: Major Players sorted in no particular order

Recent Industry Developments
- June 2025: NVIDIA posted record Q4 2025 revenue of USD 39.3 billion, up 78% YoY, spurred by Blackwell GPU demand for AI vision inference.
- May 2025: Amazon deployed Vulcan warehouse robot in Spokane; AI vision allows 75% SKU coverage with 20-hour daily uptime.
- April 2025: Thales launched STORE, a EUR 23.3 million EU project to create shared image databases for enhanced combat perception.
- May 2025: University of Hong Kong unveiled neuromorphic exposure control hitting 130 million events per second.
Global Computer Vision Market Report Scope
Computer vision systems are those that can see and interpret their surroundings in the same way that people do. This is achievable because of advancements in visual systems, artificial intelligence, and computational power technology. These systems' essential principles are data or image acquisition, data or image processing, and data or image classification. Emotion AI uses computer vision technology to read an individual's emotional responses by analyzing facial appearances and eye trends in images and videos.
Also, the computer vision market is segmented by components (hardware and software), end-user industry (life science, manufacturing, retail, government, defense & security, automotive, and food and packaging), and geography (North America, Europe, Asia-Pacific, and Rest of World).
The market sizes and forecasts are provided in terms of value (USD million) for all the above segments
By Components | Hardware | Cameras | |
Processors (GPUs / ASIC / FPGA) | |||
Optics and Lighting | |||
Software | Traditional Algorithms | ||
Deep-Learning Frameworks | |||
Edge Middleware | |||
By End-user Industry | Life Sciences | ||
Manufacturing | Electronics Assembly | ||
Food and Beverage | |||
Packaging | |||
Defense and Security | |||
Automotive | ADAS | ||
Autonomous Vehicles | |||
Retail and E-commerce | |||
Logistics and Warehousing | |||
Agriculture and Forestry | |||
Other Industries | |||
By Geography | North America | United States | |
Canada | |||
Mexico | |||
Europe | Germany | ||
United Kingdom | |||
France | |||
Italy | |||
Spain | |||
Russia | |||
Rest of Europe | |||
Asia-Pacific | China | ||
Japan | |||
South Korea | |||
India | |||
ASEAN | |||
Australia and New Zealand | |||
Rest of Asia-Pacific | |||
Middle East | GCC | ||
Turkey | |||
Rest of Middle East | |||
Africa | South Africa | ||
Nigeria | |||
Rest of Africa | |||
South America | Brazil | ||
Argentina | |||
Rest of South America |
Hardware | Cameras |
Processors (GPUs / ASIC / FPGA) | |
Optics and Lighting | |
Software | Traditional Algorithms |
Deep-Learning Frameworks | |
Edge Middleware |
Life Sciences | |
Manufacturing | Electronics Assembly |
Food and Beverage | |
Packaging | |
Defense and Security | |
Automotive | ADAS |
Autonomous Vehicles | |
Retail and E-commerce | |
Logistics and Warehousing | |
Agriculture and Forestry | |
Other Industries |
North America | United States |
Canada | |
Mexico | |
Europe | Germany |
United Kingdom | |
France | |
Italy | |
Spain | |
Russia | |
Rest of Europe | |
Asia-Pacific | China |
Japan | |
South Korea | |
India | |
ASEAN | |
Australia and New Zealand | |
Rest of Asia-Pacific | |
Middle East | GCC |
Turkey | |
Rest of Middle East | |
Africa | South Africa |
Nigeria | |
Rest of Africa | |
South America | Brazil |
Argentina | |
Rest of South America |
Key Questions Answered in the Report
What is the current size and growth outlook for the computer vision market?
The market reached USD 28.4 billion in 2025 and is forecast to climb to USD 58.6 billion by 2030, reflecting a 16.0% CAGR.
Which end-user industries represent the largest and fastest-growing opportunities?
Manufacturing leads with 37.5% revenue share in 2024, while automotive ADAS applications are set to expand the quickest at a 21.0% CAGR through 2030.
Who are the key players in Computer Vision Market?
Intel Corporation, National Instruments Corporation, SAS Institute, Keyence Corporation and Texas Instruments Incorporated are the major companies operating in the Computer Vision Market.
How do edge-AI chipsets reshape deployment economics?
On-device accelerators cut inference latency to single-digit milliseconds and trim bandwidth expenses by roughly 60%, making local processing more cost-effective than cloud offload.
Which regions dominate adoption and where is the fastest growth expected?
Asia-Pacific commands 41.0% of 2024 revenue, whereas the Middle East is projected to grow the fastest at a 17.2% CAGR between 2025-2030.
What main challenges slow wider computer vision deployment?
Integration with legacy equipment reduces forecast CAGR by 2.1%, and a shortage of skilled vision engineers subtracts a further 1.8%, extending project timelines and costs.
How fragmented is the competitive landscape?
The top five suppliers control just over half of specialized industrial niches, resulting in a moderate market concentration score of 5/10.
Page last updated on: July 8, 2025