Global Automatic Dependent Surveillance–Broadcast (ADS-B) Market Strategic Research Report
By Type: Antenna, Receiver, Transponder, ADS-B Ground Receivers
By Application: Terminal Maneuvering Airspace (TMA) Surveillance, Airborne Surveillance
Regional Forecast: Asia Pacific, Latin America, MEA, Europe, North America
Key Players: Avidyne Corporation, Aspen Avionics, Inc., Collins Aerospace, Raytheon Technologie, FreeFlight Systems, Garmin Ltd., Honeywell International Inc., Indra Sistemas, L3Harris Technologies, Inc., Trig Avionics Limited, Thales Group, MathWorks, Rockwell Collins, Aireon LLC, Leonardo S.p.A.
Übersicht
Scope of the Report
The global Automatic Dependent Surveillance–Broadcast (ADS-B) market size is predicted to grow from US$ 992 million in 2025 to US$ 1,375 million in 2032; it is expected to grow at a CAGR of 4.9% from 2026 to 2032.
Automatic Dependent Surveillance–Broadcast (ADS–B) is an advanced surveillance technology that combines an aircraft’s positioning source, aircraft avionics, and a ground infrastructure to create an accurate surveillance interface between aircraft and ATC.
The global Automatic Dependent Surveillance–Broadcast (ADS-B) market refers to the market for surveillance technology used in aviation to enhance aircraft tracking and communication. ADS-B is an essential part of the Next Generation Air Transportation System (NextGen) and aims to improve air traffic management, aircraft visibility, and safety.
ADS-B systems consist of on-board equipment that broadcasts aircraft position, velocity, and other data derived from satellite navigation systems. Ground-based receivers and air traffic control systems receive this information, enabling real-time monitoring and tracking of aircraft.
Here are some factors driving the growth of the global ADS-B market:
Regulatory mandates: Regulatory bodies, such as the Federal Aviation Administration (FAA) in the United States and the European Union Aviation Safety Agency (EASA), have implemented mandates requiring the installation of ADS-B equipment in aircraft. For instance, the FAA issued a rule that by January 1, 2020, aircraft operating in most controlled airspace in the U.S. must be equipped with ADS-B Out, which significantly increased the demand for ADS-B solutions.
Enhanced aircraft tracking and situational awareness: ADS-B technology provides accurate and real-time aircraft position information, allowing air traffic controllers to have a more comprehensive view of air traffic and make informed decisions. It improves aircraft tracking accuracy, reduces the risk of collisions, and enhances situational awareness for pilots and air traffic management.
Efficient air traffic management: ADS-B enables more precise tracking and routing of aircraft, leading to optimized airspace utilization and more efficient air traffic management. With ADS-B, air traffic controllers can take advantage of improved situational awareness to plan and manage air traffic flow, reduce congestion, and enhance overall airspace capacity.
Safety and collision avoidance: ADS-B aids in enhancing flight safety by providing pilots and air traffic controllers with real-time information about nearby aircraft. It helps in collision avoidance by alerting pilots about potential conflicts and providing timely warnings and guidance, improving overall flight safety.
Integration with other technologies: ADS-B can be integrated with other aviation technologies, such as satellite navigation systems like GPS, to further enhance its capabilities. The integration allows for more accurate position reporting and improved performance in challenging environments, such as remote areas or mountainous regions.
As the aviation industry continues to focus on enhancing safety, improving air traffic management, and complying with regulatory mandates, the global ADS-B market is expected to grow significantly. The continuing adoption of ADS-B technology worldwide and the integration of ADS-B with other advanced aviation systems will further drive the market’s expansion.
This report presents a comprehensive overview of the global Automatic Dependent Surveillance–Broadcast (ADS-B) market, covering market size and forecast, segmentation by product type and application, competitive landscape, leading players and regional and country-level outlook.
Segment by Type
- Antenna
- Receiver
- Transponder
- ADS-B Ground Receivers
Segment by Application
- Terminal Maneuvering Airspace (TMA) Surveillance
- Airborne Surveillance
Who Can Use This Report?
This report is written for decision-makers who need a clear, data-backed view of the global Automatic Dependent Surveillance–Broadcast (ADS-B) market:
- Manufacturers, suppliers and solution providers benchmarking their position and planning product, capacity and go-to-market strategy
- Distributors, channel partners and end users in Terminal Maneuvering Airspace (TMA) Surveillance, Airborne Surveillance evaluating demand and sourcing options
- Investors, financial analysts and consultants assessing growth opportunities, competitive dynamics and M&A potential
- Government agencies, industry associations and research institutions tracking industry developments and policy impact
Market snapshot
Global Automatic Dependent Surveillance–Broadcast (ADS-B) Market Strategic Research Report snapshot, 2025–2032
© MarketResearchReports.comDisclaimer: The actual data may vary in the final report which undergoes verification check post order confirmation.Segments covered in this report
Table of contents
01Executive Summary
02Industry Overview & Forecast
- 2.1.1 Market Definition and Scope
- 2.1.2 Market Size and Growth Forecast
- 2.1.3 Volume Analysis
- 2.1.4 Segment Outlook by Type
- 2.1.5 Segment Outlook by Application
- 2.1.6 Regional Outlook
- 2.1.7 Structural Developments Shaping the Forecast
- 2.1.8 Forecast Risks and Sensitivities
03Market Segmentation by Type
- 3.1 Market Segmentation by Type
- 3.1.1 Market by Type Overview
- 3.1.2 Antenna
- 3.1.3 Receiver
- 3.1.4 Transponder
- 3.1.5 ADS-B Ground Receivers
- 3.1.6 Volume Analysis
04Market Segmentation by Application
- 4.1 Market Segmentation by Application
- 4.1.1 Market by Application Overview
- 4.1.2 Terminal Maneuvering Airspace (TMA) Surveillance
- 4.1.3 Airborne Surveillance
- 4.1.4 Volume Analysis
05Regional Market Forecast
- Asia Pacific
- North America
- Europe
- Middle East & Africa
- Latin America
06Country-Level Market Forecast
- 6.1 Asia Pacific
- 6.1.1 China
- 6.1.2 Japan
- 6.1.3 Korea
- 6.1.4 Southeast Asia
- 6.1.5 India
- 6.1.6 Australia
- 6.1.7 Rest of Asia Pacific
- 6.2 North America
- 6.2.1 United States
- 6.2.2 Canada
- 6.2.3 Mexico
- 6.2.4 Rest of North America
- 6.3 Europe
- 6.3.1 Germany
- 6.3.2 France
- 6.3.3 UK
- 6.3.4 Italy
- 6.3.5 Russia
- 6.3.6 Rest of Europe
- 6.4 Middle East & Africa
- 6.4.1 Egypt
- 6.4.2 South Africa
- 6.4.3 Israel
- 6.4.4 Turkey
- 6.4.5 GCC Countries
- 6.4.6 Rest of Middle East & Africa
- 6.5 Latin America
- 6.5.1 Brazil
- 6.5.2 Rest of Latin America
07Growth Drivers & Inhibitors
- 7.1 Growth Drivers & Inhibitors
- 7.1.1 Section Overview
- 7.1.2 Growth Drivers
- 7.1.3 Growth Inhibitors
- 7.1.4 Driver and Inhibitor Impact Assessment
- 7.1.5 Analyst Perspective
08Key Company Profiles
- 8.1 Avidyne Corporation
- 8.1.1 Company Overview
- 8.1.2 Key Products & Segments
- 8.1.3 Financial Performance (2023–2025)
- 8.1.4 Business Strategy
- 8.1.5 SWOT Analysis
- 8.1.6 Strategic Implications (2026–2032)
- 8.2 Aspen Avionics, Inc.
- 8.2.1 Company Overview
- 8.2.2 Key Products & Segments
- 8.2.3 Financial Performance (2023–2025)
- 8.2.4 Business Strategy
- 8.2.5 SWOT Analysis
- 8.2.6 Strategic Implications (2026–2032)
- 8.3 Collins Aerospace
- 8.3.1 Company Overview
- 8.3.2 Key Products & Segments
- 8.3.3 Financial Performance (2023–2025)
- 8.3.4 Business Strategy
- 8.3.5 SWOT Analysis
- 8.3.6 Strategic Implications (2026–2032)
- 8.4 Raytheon Technologie
- 8.4.1 Company Overview
- 8.4.2 Key Products & Segments
- 8.4.3 Financial Performance (2023–2025)
- 8.4.4 Business Strategy
- 8.4.5 SWOT Analysis
- 8.4.6 Strategic Implications (2026–2032)
- 8.5 FreeFlight Systems
- 8.5.1 Company Overview
- 8.5.2 Key Products & Segments
- 8.5.3 Financial Performance (2023–2025)
- 8.5.4 Business Strategy
- 8.5.5 SWOT Analysis
- 8.5.6 Strategic Implications (2026–2032)
- 8.6 Garmin Ltd.
- 8.6.1 Company Overview
- 8.6.2 Key Products & Segments
- 8.6.3 Financial Performance (2023–2025)
- 8.6.4 Business Strategy
- 8.6.5 SWOT Analysis
- 8.6.6 Strategic Implications (2026–2032)
- 8.7 Honeywell International Inc.
- 8.7.1 Company Overview
- 8.7.2 Key Products & Segments
- 8.7.3 Financial Performance (2023–2025)
- 8.7.4 Business Strategy
- 8.7.5 SWOT Analysis
- 8.7.6 Strategic Implications (2026–2032)
- 8.8 Indra Sistemas
- 8.8.1 Company Overview
- 8.8.2 Key Products & Segments
- 8.8.3 Financial Performance (2023–2025)
- 8.8.4 Business Strategy
- 8.8.5 SWOT Analysis
- 8.8.6 Strategic Implications (2026–2032)
- 8.9 L3Harris Technologies, Inc.
- 8.9.1 Company Overview
- 8.9.2 Key Products & Segments
- 8.9.3 Financial Performance (2023–2025)
- 8.9.4 Business Strategy
- 8.9.5 SWOT Analysis
- 8.9.6 Strategic Implications (2026–2032)
- 8.10 Trig Avionics Limited
- 8.10.1 Company Overview
- 8.10.2 Key Products & Segments
- 8.10.3 Financial Performance (2023–2025)
- 8.10.4 Business Strategy
- 8.10.5 SWOT Analysis
- 8.10.6 Strategic Implications (2026–2032)
- 8.11 Thales Group
- 8.11.1 Company Overview
- 8.11.2 Key Products & Segments
- 8.11.3 Financial Performance (2023–2025)
- 8.11.4 Business Strategy
- 8.11.5 SWOT Analysis
- 8.11.6 Strategic Implications (2026–2032)
- 8.12 MathWorks
- 8.12.1 Company Overview
- 8.12.2 Key Products & Segments
- 8.12.3 Financial Performance (2023–2025)
- 8.12.4 Business Strategy
- 8.12.5 SWOT Analysis
- 8.12.6 Strategic Implications (2026–2032)
- 8.13 Rockwell Collins
- 8.13.1 Company Overview
- 8.13.2 Key Products & Segments
- 8.13.3 Financial Performance (2023–2025)
- 8.13.4 Business Strategy
- 8.13.5 SWOT Analysis
- 8.13.6 Strategic Implications (2026–2032)
- 8.14 Aireon LLC
- 8.14.1 Company Overview
- 8.14.2 Key Products & Segments
- 8.14.3 Financial Performance (2023–2025)
- 8.14.4 Business Strategy
- 8.14.5 SWOT Analysis
- 8.14.6 Strategic Implications (2026–2032)
- 8.15 Leonardo S.p.A.
- 8.15.1 Company Overview
- 8.15.2 Key Products & Segments
- 8.15.3 Financial Performance (2023–2025)
- 8.15.4 Business Strategy
- 8.15.5 SWOT Analysis
- 8.15.6 Strategic Implications (2026–2032)
09Competitive Landscape
- 9.1 Competitive Landscape Overview
- 9.2 Competitive Intensity Assessment
- 9.3 Key Player Strategies & Positioning
- 9.4 Competitive Dynamics & Strategic Outlook
- 9.4.1 Emerging Competitive Threats
- 9.4.2 Consolidation vs. Fragmentation Outlook
- 9.4.3 Competitive Response Matrix
- 9.4.4 Strategic Recommendations, 2026–2032
10Porter's Five Forces Analysis
- 10.1 Threat of New Entrants
- 10.2 Bargaining Power of Buyers
- 10.3 Bargaining Power of Suppliers
- 10.4 Threat of Substitutes
- 10.5 Competitive Rivalry
11PESTLE Analysis
- 11.1 Political
- 11.2 Economic
- 11.3 Social and Demographic
- 11.4 Technological
- 11.5 Legal and Regulatory
- 11.6 Environmental
- 11.7 Strategic Implications of the PESTLE Assessment
12SWOT Analysis
13Future Trends & Outlook
- 13.1 Future Trends & Outlook
- 13.1.1 Trend Summary and Commercial Maturity Assessment
- 13.1.2 Technology and Innovation Trends
- 13.1.3 Long-Term Market Outlook
- 13.1.4 Investment & M&A Activity Outlook
- 13.1.5 Overall Outlook Assessment
Frequently asked questions
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Research Methodology
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Systematic collection from 500+ verified sources including SEC filings, industry databases (Bloomberg, Statista, OECD), regulatory filings, trade publications, patent databases, and company annual reports. AI-assisted extraction identifies relevant data points across 10,000+ documents per report.
Dual-validation approach: bottom-up sizing aggregates segment-level production, consumption, and trade data; top-down sizing cross-validates against macroeconomic indicators and total addressable market estimates. Discrepancies >5% trigger analyst review.
Company profiles built from public financial disclosures, product launches, M&A activity, job postings (as capability proxies), and supply chain mapping. Market share estimates triangulated across revenue, capacity, and shipment data.
CAGR projections use time-series regression on 5-10 years of historical data, adjusted for identified demand drivers (technology adoption curves, regulatory catalysts, demographic shifts) and demand inhibitors (cost barriers, substitution risk). Scenario modeling covers base, optimistic, and conservative cases.
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