AI Research
IoT in Aviation Market Research and Forecast Report 2025-2034
The Global IoT in Aviation Market is anticipated to soar from USD 1.59 billion in 2024 to USD 11.27 billion by 2034, projecting a robust CAGR of 21.7%. Driven by the urgent need for operational efficiency and cost reduction, the aviation sector is rapidly adopting IoT solutions for enhanced real-time decision-making. Supply chain disruptions and tariff impacts underline the shift to domestic sourcing, boosting U.S. innovation in avionics and connectivity. real-time sensor technology optimizes maintenance and operations, while IoT-enabled automation refines airport logistics and enriches passenger services. With key players like GE and Cisco leading advancements, the U.S. dominates the market, emphasizing R&D and cybersecurity.
IoT in Aviation Market
Dublin, July 08, 2025 (GLOBE NEWSWIRE) — The “IoT in Aviation Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2025-2034” has been added to ResearchAndMarkets.com’s offering.
The Global IoT In Aviation Market was valued at USD 1.59 billion in 2024 and is estimated to grow at a CAGR of 21.7% to reach USD 11.27 billion by 2034.
The growth is driven by the increasing demand for operational efficiency, cost reduction, and real-time decision-making, aviation stakeholders are embracing IoT to modernize their operations. The implementation of tariffs on electronics and semiconductor components caused a significant uptick in production costs, disrupting IoT device availability and supply chain agility. These increased costs were either absorbed by manufacturers or shifted to end users, slowing widespread adoption.
Key aircraft technologies such as avionics hardware, sensors, and connectivity modules were particularly impacted, prompting a shift toward domestic sourcing. Although domestic suppliers offered limited capacity, this transition stimulated short-term friction but eventually encouraged self-reliant innovation in the U.S. market. The disruption highlighted the challenges and strategic advantages of localizing production in critical technology sectors.
Real-time sensor technology allows aircraft operators to monitor onboard systems, optimize flight paths, and manage fuel consumption more effectively. Predictive maintenance enabled by IoT reduces downtime and enhances safety by tracking engine health, structural integrity, and system performance. Airports and airlines streamline crew planning and baggage logistics using automation powered by connected technologies, cutting operational costs and improving reliability. Enhanced passenger services delivered through IoT also foster stronger brand loyalty among travelers.
The hardware segment reached USD 714.9 million in 2024, driven by demand for sensors, actuators, and communication modules that enable robust data flow between aircraft systems and control centers. RFID and beacon technology support baggage tracking and inventory control, while avionics-grade modules ensure uninterrupted connectivity in flight. Edge computing solutions installed onboard process critical data locally, minimizing latency and dependency on external networks. These technologies enable safer operations and better in-flight and ground service efficiency.
The aircraft health and predictive maintenance application segment was valued at USD 426 million in 2024. This area uses sensor data and advanced analytics to evaluate component wear, engine performance, and system diagnostics in real-time. Predictive modeling helps reduce unexpected breakdowns, allows better planning of maintenance tasks, and extends the operational lifespan of aircraft assets.
United States IoT in Aviation Market was valued at USD 433.1 million in 2024. The country maintains a leading role owing to the extensive integration of connected technologies across its aviation infrastructure. Major aerospace companies including GE Aviation, Cisco Systems Inc., Siemens, Honeywell International Inc., and International Business Machines Corporation have spearheaded the development of IoT systems for aircraft and airport operations. U.S. aviation advancements in smart cabin environments, maintenance automation, and airport optimization have pushed the country to the forefront of global IoT adoption in aviation.
To strengthen their competitive edge, leading companies in the IoT aviation sector are focusing on scaling R&D investments in sensor innovation, real-time analytics, and edge computing. Strategic collaborations with aerospace manufacturers and airport authorities allow faster deployment of IoT systems across new and existing fleets. These firms prioritize cybersecurity to ensure safe data transmission in flight-critical systems. Additionally, companies are investing in AI-integrated IoT frameworks to deliver predictive diagnostics and streamline passenger and cargo operations, further solidifying their market leadership.
Comprehensive Market Analysis and Forecast
AI Research
Artificial Intelligence in Cataract Surgery and Optometry at Large with Harvey Richman, OD, and Rebecca Wartman, OD
At the 2025 American Optometric Association Conference in Minneapolis, MN, Harvey Richman, OD, Shore Family Eyecare, and Rebecca Wartman, OD, optometrist chair of AOA Coding and Reimbursement Committee, presented their lecture on the implementation of artificial intelligence (AI) devices in cataract surgery and optometry at large.1
AI has been implemented in a variety of ophthalmology fields already, from analyzing and interpreting ocular imaging to determining the presence of diseases or disorders of the retina or macula. Recent studies have tested AI algorithms in analyzing fundus fluorescein angiography, finding the programs extremely effective at enhancing clinical efficiency.2
However, there are concerns as to the efficacy and reliability of AI programs, given their propensity for hallucination and misinterpretation. To that end, Drs. Richman and Wartman presented a study highlighting the present and future possibilities of AI in cataract surgery, extrapolating its usability to optometry as a whole.
Richman spoke to the importance of research in navigating the learning curve of AI technology. With the rapid advancements and breakneck pace of implementation, Richman points out the relative ease with which an individual can fall behind on the latest developments and technologies available to them.
“The problem is that the technology is advancing much quicker than the people are able to adapt to it,” Richman told HCPLive. “There’s been research done on AI for years and years; unfortunately, the implementation just hasn’t been as effective.”
Wartman warned against the potential for AI to take too much control in a clinical setting. She cautioned that clinicians should be wary of letting algorithms make all of the treatment decisions, as well as having a method of undoing those decisions.
“I think they need to be very well aware of what algorithms the AI is using to get to its interpretations and be a little cautious when the AI does all of the decision making,” Wartman said. “Make sure you know how to override that decision making.”
Richman went on to discuss the 3 major levels of AI: assistive technology, augmented technology, and autonomous intelligence.
“Some of those are just bringing out data, some of them bring data and make recommendations for treatment protocol, and the third one can actually make the diagnosis and treatment protocol and implement it without a physician even involved,” Richman said. “In fact, the first artificial intelligence code that was approved by CPT had to do with diabetic retina screening, and it is autonomous. There is no physician work involved in that.”
Wartman also informed HCPLive that a significant amount of surgical technology is already using artificial intelligence, mainly in the form of pattern recognition software and predictive devices.
“A lot of our equipment is already using some form of artificial intelligence, or at least algorithms to give you patterns and tell you whether it’s inside or outside the norm,” Wartman said.
References
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Richman H, Wartman R. A.I. in Cataract Surgery. Presented at the 2025 American Optometric Association in Minneapolis, MN, June 25-28, 2025.
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Shao A, Liu X, Shen W, et al. Generative artificial intelligence for fundus fluorescein angiography interpretation and human expert evaluation. NPJ Digit Med. 2025;8(1):396. Published 2025 Jul 2. doi:10.1038/s41746-025-01759-z
Northumbria University is to provide its students and staff with access to Claude for Education – a leading AI platform specifically tailored for higher education.
Northumbria will become only the second university in the UK, alongside the London School of Economics and other leading international institutions, to offer Claude for Education as a tool to its university community.
With artificial intelligence rapidly transforming many aspects of our lives, Northumbria’s students and staff will now be provided with free access to many of the tools and skills they will need to succeed in the new global AI-environment.
Claude for Education is a next-generation AI assistant built by Anthropic and trained to be safe, accurate and secure. It provides universities with ethical and transparent access to AI that ensures data security and copyright compliance and acts as a 24/7 study partner for students, designed to guide learning and develop critical thinking rather than providing direct answers.
Known as a UK leader in responsible AI-based research and education, Northumbria University recently launched its Centre for Responsible AI and is leading a multi-million pound UKRI AI Centre for Doctoral Training in Citizen-Centred Artificial Intelligence to train the next generation of leaders in AI development.
Professor Graham Wynn explained: “Today’s students are digitally native and recent data show many use AI routinely. They expect their universities to provide a modern, technology-enhanced education, providing access to AI tools along with clear guidance on the responsible use of AI.
“We know that the availability of secure and ethical AI tools is a significant consideration for our applicants and our investment in Claude for Education will position Northumbria as a forward-thinking leader in ethical AI innovation.
“Empowering students and staff, providing cutting-edge learning opportunities, driving social mobility and powering an inclusive economy are at the heart of everything we do. We know how important it is to eliminate digital poverty and provide equitable access to the most powerful AI tools, so our students and graduates are AI literate with the skills they need for the workplaces of the future.
“The introduction of Claude for Education will provide our students and staff with free universal access to cutting-edge AI technology, regardless of their financial circumstances.”
The University is now working with Anthropic to establish the technical infrastructure and training to roll out Claude for Education in autumn 2025.
Wiley has announced plans for a strategic partnership with Anthropic, an artificial intelligence research and development company with an emphasis on responsible AI.
Wiley is adopting the Model Context Protocol (MCP), an open standard created by Anthropic, which aims to enable seamless integration between authoritative, peer-reviewed content and AI tools across multiple platforms. Beginning with a pilot program, and subject to definitive agreement, Wiley and Anthropic will work to ensure university partners have streamlined, enhanced access to their Wiley research content.
Another key focus of the partnership is to establish standards for how AI tools properly integrate scientific journal content into results while providing appropriate context for users, including author attribution and citations.
“The future of research lies in ensuring that high-quality, peer-reviewed content remains central to AI-powered discovery,” said Josh Jarrett, Senior Vice President of AI Growth at Wiley. “Through this partnership, Wiley is not only setting the standard for how academic publishers integrate trusted scientific content with AI platforms but is also creating a scalable solution that other institutions and publishers can adopt. By adopting MCP, we’re demonstrating our commitment to interoperability and helping to ensure authoritative, peer-reviewed research will be discoverable in an increasingly AI-driven landscape.”
The announcement coincides with Anthropic’s broader Claude for Education initiative, which highlights new partnerships and tools designed to amplify teaching, learning, administration and research in higher education.
“We’re excited to partner with Wiley to explore how AI can accelerate and enhance access to scientific research,” said Lauren Collett, who leads Higher Education partnerships at Anthropic. “This collaboration demonstrates our commitment to building AI that amplifies human thinking—enabling students to access peer-reviewed content with Claude, enhancing learning and discovery while maintaining proper citation standards and academic integrity.”
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