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Artificial Intelligence in Aviation Market To Reach USD 153.39 Billion By Year 2032

The Global Artificial Intelligence in Aviation Market Size Was Valued at USD 5.55 Billion in 2023 and is Projected to Reach USD 153.39 Billion by 2032, Growing at a CAGR of 44.6 % from 2024-2032.

11-07-2024
shashidhar kotian
Aerospace and Defense
Pristine Intelligence LLP

According to a new report published by Pristine Market Research, titled, “Artificial Intelligence in Aviation Market by Offering, Technology, Application, Equipment, and Region Global Market Analysis and Forecast, 2024-2032. The Global Artificial Intelligence in Aviation Market Size Was Valued at USD 5.55 Billion in 2023 and is Projected to Reach USD 153.39 Billion by 2032, Growing at a CAGR of 44.6 % from 2024-2032. Artificial Intelligence (AI) and machine learning are revolutionizing the aviation industry by improving customer facilities and services. Thales and Airbus are using AI in predictive maintenance and air traffic control (ATC) applications, enhancing efficiency and environmental friendliness. AI simplifies controllers' tasks through automatic speech recognition, while machine learning helps monitor system performance, detect anomalies, and predict maintenance. The integration of sophisticated computational methods in AI for Aviation involves processing and analyzing large amounts of data from various sources, such as aircraft systems, air traffic control, weather conditions, and passenger data. AI technologies in aviation enable the creation of smart systems that make decisions based on data, improve performance, boost safety, and enhance efficiency. Advanced machine learning algorithms enable the development of smart twins for ATC centers, enabling continuous improvement through simulations and optimizing operations for environmental impact.

According to the Artificial Intelligence in Aviation, the Market is segmented into Offering, Technology, Application, and Equipment. By offering, the market is categorized into Machine Learning, Context Awareness Computing, Natural Language Processing, and Computer Vision. By Application, the market is categorized into Smart Maintenance, Training, Manufacturing, Flight Operations, Virtual Assistants, Dynamic Pricing, Surveillance, and Others. By Equipment, the market is categorized into Cleavable Linker, Autocollimator, Measuring Microscope, and Profile Projectors. By region, it is analysed across North America (U.S.; Canada; Mexico), Europe (Germany; U.K.; France; Italy; Russia; Spain, etc.), Asia-Pacific (China; India; Japan; Southeast Asia, etc.), South America (Brazil; Argentina, etc.), Middle East & Africa (Saudi Arabia; South Africa, etc.).

AI-driven technology is revolutionizing aviation safety by using extensive data from sensors, weather patterns, and historical flight data to predict safety threats and reduce risks. This technology enables live monitoring of aircraft systems, airspace conditions, and pilot behavior, enabling quick responses to potential threats. AI helps airlines and aviation authorities detect safety concerns early, preventing accidents and enhancing incident management. It also improves airspace utilization, routes planning, and traffic flow management, reducing congestion and delays. This leads to improved safety, lower fuel usage, and reduced environmental impact. With increasing air travel demand, AI integration is crucial for handling complexity, ensuring seamless operations, and boosting market expansion.

AI is revolutionizing the aviation industry by providing virtual aviation training for pilots and crew members. AI-powered simulations and systems simulate various scenarios, environments, and emergencies, enhancing decision-making abilities and safety measures. These solutions create customized training experiences for different skill levels and aircraft types, providing personalized feedback and performance assessment. AI-powered solutions enhance training effectiveness and safety measures, ensuring pilots and crew members are fully equipped to face any issues during flights. This technological innovation is expected to lead to a more skilled and secure workforce in the aviation sector.

Global Artificial Intelligence in Aviation Market, Segmentation

Artificial Intelligence in the Aviation Market is Segmented Based on Offering, Technology, Application, Equipment, and Region.

By Technology:

The machine learning segment is expected to dominate the global aviation market due to its ability to perform complex calculations and efficiently scan text data into documents like tickets, invoices, and agreements. Natural language processing (NLP) is expected to be the most opportunistic segment, as it can identify potential repeat defects, manage revenue, and perform functions like drone aircraft control systems, flight safety, customer interaction quantification, and feedback analysis. These advancements are expected to drive the adoption of AI in the aviation industry.

By Product:

The aviation industry is witnessing a significant shift towards artificial intelligence (AI) with virtual assistants emerging as a major player. These AI-powered assistants use natural language processing and machine learning algorithms to provide personalized assistance, enhancing passenger satisfaction and convenience. They also automate tasks like checking wind forecasts and adjusting radio channels, thereby reducing the demand for pilots. The growth of AI in the aviation sector is driven by the use of large amounts of data, increased capital investments, and the popularity of cloud-based applications. AI in the aviation sector includes baggage screening, passenger identification, maintenance, customer service, facial recognition, and aircraft fuel efficiency. Implementing automation in the industry will improve customer experience and system efficiency.

Region:

The Asia Pacific region is leading the Artificial Intelligence (AI) market in the aviation sector due to economic growth, a rising middle class, and increasing air travel demand. Countries like China, India, and Singapore are investing in AI-powered technologies to improve aviation infrastructure, operational productivity, and passenger satisfaction. AI solution providers have opportunities to modify their products for airlines, airports, and air traffic management authorities. AI technologies are changing various aspects of flying operations, including flight paths, safety measures, and maintenance needs. Partnerships between industry stakeholders, governmental bodies, and research organizations are driving innovation and integrating AI in aviation. The region's strategic position and growing global influence make it a crucial market for AI solution providers.

Some of The Leading/Active Market Players Are-

  • Intel Corporation (U.S.)
  • Garmin Ltd. (U.S.)
  • IBM Corporation (U.S.)
  • Boeing (U.S.)
  • General Electric (U.S.)
  • Amazon (U.S.)
  • Microsoft Corporation (U.S.)
  • NVIDIA Corporation (U.S.)
  • Neurala Inc (U.S.)
  • Micron Technology (U.S.)and Other Active Players

Key Industry Developments

  • In March 2024, IBM and Riyadh Air collaborated to transform travel experiences. Scheduled to launch in early 2025, Riyadh Air aims to introduce next-generation, seamless guest interactions, leveraging IBM Consulting's ecosystem of business partners and industry expertise. This partnership will focus on strategy, experience design, technology, and operations to redefine airline travel.
  • In March 2023, Airbus announced the acquisition of Uptake Technologies, a leading provider of AI-powered predictive maintenance solutions for the industrial sector. This strategic move will grant Airbus access to Uptake's advanced technology and expertise in AI-driven predictive maintenance, enhancing Airbus's capabilities in maintaining and optimizing its fleet operations. The integration of Uptake's innovative solutions is expected to significantly improve the efficiency and reliability of Airbus's services, reinforcing its commitment to technological excellence and operational excellence in the aviation industry.

Key Findings of the Study:

  • Machine learning dominates the market due to its capability in complex calculations and text data processing. Natural language processing (NLP) shows significant potential in identifying defects, managing revenue, and controlling drone aircraft systems.
  • AI applications in aviation span across smart maintenance, training, flight operations, virtual assistants, dynamic pricing, surveillance, and more. Virtual aviation training is enhancing safety and decision-making among pilots and crew.
  • The Asia Pacific region leads in AI adoption in aviation, driven by economic growth, rising middle class, and increasing air travel demand. Countries like China, India, and Singapore are investing heavily in AI-powered technologies to improve infrastructure and passenger satisfaction.
Pristine Intelligence LLP

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