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Shortwave Infrared Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2025-2034

Publisher Global Market Insights
Published Jan 08, 2026
Length 188 Pages
SKU # GMI20836618

Description

The Global Shortwave Infrared Market was valued at USD 189.4 million in 2024 and is estimated to grow at a CAGR of 11.8% to reach USD 554.5 million by 2034.

Market growth is driven by the accelerating deployment of SWIR cameras and sensing systems across defense & security, industrial automation, and scientific/healthcare imaging, where visibility in low light, haze, smoke, and obscured environments is critical. As imaging buyers shift from capturing images to capturing decisions, SWIR is gaining momentum through AI-enabled analytics, multi-sensor fusion, and camera miniaturization that allows integration into UAVs, handheld tools, and compact inspection systems. In parallel, manufacturers are improving manufacturing scalability and lowering system complexity, which is helping SWIR expand beyond niche deployments into broader machine-vision, infrastructure inspection, and advanced inspection workflows where the ROI is tied directly to yield improvement, fewer false rejects, and reduced downtime.

In defense and surveillance, SWIR’s performance in degraded visual environments is driving sustained procurement for airborne, maritime, and tactical platforms, while in industrial environments, it is increasingly tied to Industry 4.0 programs that prioritize automated quality control and predictive monitoring. At the same time, SWIR is widening into automotive safety through multi-spectral perception stacks (SWIR + visible + thermal/LiDAR) that improve night and adverse-weather detection performance, reinforcing longer-term growth as vehicle sensing architectures become more sophisticated.

The hardware segment generated USD 173.1 million in 2024, because camera modules, sensors, optics, and ruggedized systems represent the largest value capture in SWIR deployments, especially in defense, aerospace, and industrial inspection, where performance requirements push premium system specifications. Hardware leadership is further strengthened by trends such as camera miniaturization and modular integration (enabling deployments on drones/portable devices) and the expanding use of SWIR for semiconductor inspection, solar panel evaluation, and waste sorting applications, where SWIR improves defect detection and throughput while supporting automation at scale.

The line scan segment reached USD 158.01 million in 2024, supported by its role as the preferred architecture for continuous, high-speed inspection on production lines and conveyor systems. Line-scan SWIR integrates efficiently with AI-enabled machine vision to detect cracks, voids, contamination, and subsurface defects in fast-moving manufacturing environments, particularly in semiconductors, electronics assembly, food sorting, and material classification, helping manufacturers reduce scrap, improve yields, and maintain consistent quality at high throughput.

North America Shortwave Infrared Market captured USD 75.7 million in 2024, driven by strong defense, aerospace, industrial inspection, and automotive adoption, backed by high R&D investment, government initiatives, and advanced manufacturing infrastructure. The region’s market is characterized by high-value deployments where per-unit system pricing is higher due to stringent performance, integration, and reliability requirements making North America a key innovation and commercialization hub for SWIR technologies.

Key players in the Global Shortwave Infrared Market include Hamamatsu Photonics K.K., InfraTec GmbH, Teledyne FLIR LLC, Exosens, Sensors Unlimited (Collins Aerospace), Allied Vision Technologies GmbH, Lynred, Specim, Photon etc., SVS-VISTEK GmbH, IRCameras LLC, Baumer Group, Emberion, SWIR Vision Systems, Raptor Photonics Ltd. Companies are strengthening their foothold by pushing performance-led hardware innovation, smaller, lighter, more modular SWIR cameras that can be deployed on UAVs, handheld devices, and compact industrial systems while maintaining sensitivity and reliability. They are accelerating AI/ML-enabled analytics and software integration so customers can extract real-time defect detection, anomaly spotting, and decision support rather than raw images alone, an important lever for industrial automation and security use cases. To scale adoption, firms pursue cost-reduction roadmaps (simplified architectures, reduced cooling requirements, improved manufacturing scalability) to expand into automotive safety, agriculture, and broader machine vision segments that are price sensitive.

Table of Contents

188 Pages
Chapter 1: Research Methodology
1.1. Research Approach
1.2. Quality Commitments
1.2.1. GMI AI Policy & Data Integrity Commitment
1.2.1.1. Source Consistency Protocol
1.3. Research Trail & Confidence Scoring
1.3.1. Research Trail Components
1.3.2. Scoring Components
1.4. Data Collection
1.4.1. Partial List of Primary Sources
1.5. Data Mining Sources
1.5.1. Paid Sources
1.5.1.1. Sources, by region
1.6. Base Estimates and Calculations
1.6.1. Base Year Calculation for Any One Approach
1.7. Forecast Model
1.7.1. Quantified market impact analysis
1.7.1.1. Mathematical impact of growth parameters on forecast
1.8. Research transparency addendum
1.8.1. Source attribution framework
1.8.2. Quality assurance metrics
1.8.3. Our commitment to trust
Chapter 2: Executive Summary
2.1. Industry 360° synopsis
2.2. Key market trends
2.2.1. Business trends
2.2.2. Component trends
2.2.3. Scanning type trends
2.2.4. Technology trends
2.2.5. Application trends
2.2.6. End-use trends
2.2.7. Regional trends
2.3. TAM Analysis, 2025-2034 (USD Thousand)
2.4. CXO perspectives: Strategic imperatives
2.4.1. Executive decision points
2.4.2. Critical Success Factors
2.5. Future Outlook and Strategic Recommendations
Chapter 3: Industry Insights
3.1. Industry ecosystem analysis
3.1.1. Supplier Landscape
3.1.2. Profit margin
3.1.3. Cost structure
3.1.4. Value addition at each stage
3.1.5. Factor affecting the value chain
3.1.5.1. Technological Complexity
3.1.5.2. Business Model Evolution and Service Transformation
3.1.5.3. Component Availability
3.1.5.4. Procurement Practices & Contracting
3.1.5.5. Geopolitical & Trade Factors
3.1.6. Disruptions
3.1.6.1. Technological Disruption
3.1.6.2. Supply Chain Disruption
3.1.6.3. Geopolitical & Trade Disruption
3.2. Industry impact forces
3.2.1. Market growth drivers
3.2.1.1. Growing demand of SWIR in defense and security
3.2.1.2. Increasing integration of SWIR in automotive safety
3.2.1.3. Growing adoption of SWIR in industrial imaging
3.2.1.4. Rise in penetration of SWIR in agriculture sector
3.2.1.5. SWIR witnesses its importance in medical imaging
3.2.2. Restraints and challenges
3.2.2.1. Limited availability of SWIR components
3.2.2.2. Challenges in image calibration and standardization
3.2.3. Market opportunities
3.2.3.1. SWIR for industrial quality control
3.2.3.2. Enhanced security through SWIR surveillance
3.3. Growth potential
3.4. Regulatory Landscape
3.4.1. International Standards
3.4.1.1. ISO 9001:2015
3.4.1.2. ISO/IEC 17025:2017
3.4.1.3. IEC 60825-1:2014
3.4.2. North America
3.4.2.1. FCC Regulations
3.4.2.2. DFARS (Defense Federal Acquisition Regulation Supplement)
3.4.2.3. OSHA 60
3.4.3. Europe
3.4.3.1. CE Marking
3.4.3.2. REACH
3.4.3.3. EU Machinery Directive 2006/42/EC
3.4.4. Asia-Pacific
3.4.4.1. Japan – METI
3.4.4.2. China – NMPA
3.4.4.3. India – BIS
3.4.4.4. South Korea – MOTIE
3.4.5. Latin America
3.4.5.1. Brazil – ANATEL
3.4.5.2. Mexico – IFT
3.4.6. Middle East & Africa
3.4.6.1. United Arab Emirates – ESMA
3.4.6.2. South Africa – SBAS
3.5. Porter’s Analysis
3.6. PESTEL Analysis
3.7. Technology & Innovation Landscape
3.7.1. Current Technological Trends
3.7.1.1. Multi-Modal Sensor Integration and Enhanced Accuracy
3.7.1.2. AI/ML-Enabled Imaging Analytics
3.7.1.3. Connectivity and IoT Integration
3.7.1.4. Sustainable and Energy-Efficient Designs
3.7.2. Emerging Technologies
3.7.2.1. Advanced Detector and Optical Technologies
3.7.2.2. Smart SWIR Systems and Interactive Features
3.7.2.3. Automation, AI, and Production Efficiency
3.7.2.4. Data Security, Analytics, and Regulatory Compliance
3.8. Emerging Business Models
3.8.1. Direct Sales & Project-Based Procurement
3.8.2. Lease and Imaging-as-a-Service (IaaS)
3.8.3. Public–Private Partnerships (PPP) & Co-Development
3.8.4. Technology Licensing & IP Monetization
3.8.5. Software, Analytics & Lifecycle Services
3.8.6. Dual-Use & Cross-Sector Deployment Models
3.9. Compliance Requirements
3.9.1. International Certification and Regulatory Compliance
3.9.2. Regional Regulatory Requirements
3.9.3. Performance and Interoperability Standards
3.10. Sustainability Measures
3.11. Patent and IP Analysis
3.12. Geopolitical & Trade Dynamics
Chapter 4: Competitive Landscape, 2024
4.1. Introduction
4.2. Company market share analysis, 2024
4.2.1. Company market share analysis by region
4.2.2. Market Concentration Analysis
4.3. Competitive benchmarking of key players
4.3.1. Financial performance comparison
4.3.1.1. Revenue
4.3.1.2. Profit margin
4.3.1.3. R&D 78
4.3.2. Product portfolio comparison
4.3.2.1. Product range breadth
4.3.2.2. Technology
4.3.2.3. Innovation
4.3.3. Geographic presence comparison
4.3.3.1. Global footprint analysis
4.3.3.2. Service network coverage
4.3.3.3. Market penetration by region
4.3.4. Competitive analysis of the key market players
4.3.5. Competitive positioning matrix
4.3.6. Strategic Outlook Matrix
4.4. Key developments, 2021-2024
4.5. Emerging/ startup competitors’ landscape
Chapter 5: Shortwave Infrared Market, By Component
5.1. Key Trends
5.2. Hardware
5.3. Software
5.4. Service
Chapter 6: Shortwave Infrared Market, By Scanning Type
6.1. Key Trends
6.2. Line Scan
6.3. Area Scan
Chapter 7: Shortwave Infrared Market, By Technology
7.1. Key Trends
7.2. Cooled
7.3. Uncooled
Chapter 8: Shortwave Infrared Market, By Application
8.1. Key Trends
8.2. Machine Vision
8.3. Thermal Vision
8.4. Hyperspectral imaging
8.5. Security & surveillance
8.6. Photovoltaics
8.7. Others
Chapter 9: Shortwave Infrared Market, By End-use
9.1. Key Trends
9.2. Industrial
9.3. Defense & Military
9.4. Healthcare & Research
9.5. Automotive
9.6. Agriculture
9.7. Oil & Gas
9.8. Others
Chapter 10: Shortwave Infrared Market, By Region
10.1. Key Trends
10.2. North America
10.3. Europe
10.4. Asia-Pacific
10.5. Latin America
10.6. Middle East & Africa
Chapter 11: Company Profile
11.1. Global Key players
11.1.1. Hamamatsu Photonics K.K
11.1.1.1.Financial Data
11.1.1.2.Product Landscape
11.1.1.3.Strategic Outlook
11.1.1.4.SWOT Analysis
11.1.2. InfraTec GmbH
11.1.2.1.Financial Data
11.1.2.2.Product Landscape
11.1.2.3.Strategic Outlook
11.1.2.4.SWOT Analysis
11.1.3. Teledyne FLIR LLC
11.1.3.1.Financial Data
11.1.3.2.Product Landscape
11.1.3.3.Strategic Outlook
11.1.3.4.SWOT Analysis
11.1.4. Exosens
11.1.4.1.Financial Data
11.1.4.2.Product Landscape
11.1.4.3.Strategic Outlook
11.1.4.4.SWOT Analysis
11.2. Regional Key players
11.2.1. North America
11.2.1.1.Sensors Unlimited, Inc.
11.2.1.1.1. Financial Data
11.2.1.1.2. Product Landscape
11.2.1.1.3. SWOT Analysis
11.2.1.2.IRCameras LLC
11.2.1.2.1. Financial Data
11.2.1.2.2. Product Landscape
11.2.1.2.3. SWOT Analysis
11.2.1.3.Photon etc. Inc.
11.2.1.3.1. Financial Data
11.2.1.3.2. Product Landscape
11.2.1.3.3. SWOT Analysis
11.2.2. Europe
11.2.2.1.Allied Vision Technologies GmbH
11.2.2.1.1. Financial Data
11.2.2.1.2. Product Landscape
11.2.2.1.3. Strategic Outlook
11.2.2.1.4. SWOT Analysis
11.2.2.2.Lynred
11.2.2.2.1. Financial Data
11.2.2.2.2. Product Landscape
11.2.2.2.3. Strategic Outlook
11.2.2.2.4. SWOT Analysis
11.2.2.3.Specim
11.2.2.3.1. Financial Data
11.2.2.3.2. Product Landscape
11.2.2.3.3. Strategic Outlook
11.2.2.3.4. SWOT Analysis
11.2.2.4.SVS - VISTEK GmbH
11.2.2.4.1. Financial Data
11.2.2.4.2. Product Landscape
11.2.2.4.3. Strategic Outlook
11.2.2.4.4. SWOT Analysis
11.2.2.5.Baumer Group
11.2.2.5.1. Financial Data
11.2.2.5.2. Product Landscape
11.2.2.5.3. SWOT Analysis
11.2.3. Asia-Pacific
11.2.3.1.Emberion
11.2.3.1.1. Financial Data
11.2.3.1.2. Product Landscape
11.2.3.1.3. Strategic Outlook
11.2.3.1.4. SWOT Analysis
11.3. Disruptors/Niche Players
11.3.1. SWIR Vision Systems
11.3.1.1.Financial Data
11.3.1.2.Product Landscape
11.3.1.3.Strategic Outlook
11.3.1.4.SWOT Analysis
11.3.2. Raptor Photonics Ltd.
11.3.2.1.Financial Data
11.3.2.2.Product Landscape
11.3.2.3.Strategic Outlook
11.3.2.4.SWOT Analysis
Chapter 12: Appendix
12.1. Market Definition
12.2. Related Studies
12.3. Research Practice

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