Artificial Intelligence in Aviation Market: Global Industry Analysis and Forecast (2024-2030)

Artificial Intelligence in Aviation Market was valued at US$ 410.31 Mn. in 2023 and is expected to grow at US$ 6106.34 Mn in 2030. Artificial Intelligence in Aviation Market size is expected to grow at a CAGR of 47.07% through the forecast period.

Artificial Intelligence in Aviation Market Overview:

Artificial Intelligence (AI) is steadily being adopted in a multitude of commercial products and services. AI can revolutionize the design, manufacturing as well as operations and provide operational advantages if incorporated well. Artificial intelligence (AI) is intelligence demonstrated by machines, as opposed to the natural intelligence displayed by animals including humans. AI research has been defined as the field of study of intelligent agents, which refers to any system that perceives its environment and takes actions that maximize its chance of achieving its goals. AI can be used to assist customers in the airport and it can help a company reduce its operational costs and labor costs at the same time. Airlines companies are now using AI technologies to help their customers to resolve issues quickly by getting accurate information on future flights trips on their internet-enabled devices.Artificial Intelligence in Aviation MarketTo know about the Research Methodology :- Request Free Sample Report Artificial intelligence in aviation helps technicians to access the historical and real-time data from any location, and the systems are compatible with mobile and desktop that gives alerts and notifications of the aircraft ‘s existing technical condition and it also helps the technician to spot the issues pointing at possible malfunction and replace parts proactively. The adoption of artificial intelligence in the aviation market is expected to increase because AI uses powerful algorithms that automates large amount of data across the airport and it improves the factors such as productivity and decreases queue length. The report explores the Artificial Intelligence in Aviation Market segments (Offerings, Application, Technology and Region). Data has been provided by market participants, and regions (North America, Asia Pacific, Europe, Middle East & Africa, and South America). The MMR market report provides a thorough analysis of the rapid advances that are currently taking place across all industry sectors. Facts and figures, illustrations, and presentations are used to provide key data analysis for the historical period from 2018  to 2023. The report investigates the Artificial Intelligence in Aviation Market drivers, limitations, prospects, and barriers. This MMR report includes investor recommendations based on a thorough examination of the Artificial Intelligence in Aviation Market contemporary competitive scenario.

Artificial Intelligence in Aviation Market Dynamics:

Drivers: The growing adoption of IoT, big data, and factory automation is one of the prominent drivers in artificial intelligence in manufacturing market. The utilization of massive data within the aerospace industry, a big increase in capital investments by aviation companies, and the rising adoption of cloud-based applications and services within the aviation industry leads to the growth of the Artificial Intelligence in Aviation Market. The Artificial Intelligence in Aviation Market includes various factors such as the presence of services and systems, such as baggage screening, passenger identification, and maintenance, providing customer support, facial recognition and aircraft fuel optimization. Artificial intelligence in the aviation market can easily permit airlines to control if there is a chance to positively interfere in the customer journey and turn a bad experience into a pleasant one. It also allows the company to respond faster in a synchronized, systematic way that is on-brand and consistent with the business’s values. The increasing investment in artificial intelligence globally and the rise in the adoption of smart manufacturing initiatives are the factors which drives the growth of the Artificial Intelligence in Aviation Market. Big data implementation in the aviation industry can aid in smart maintenance, optimizing fuel efficiency, improving services, and improving security. AI is also cost-effective, and it can provide more efficient and timely management of services, which is propelling the growth of artificial intelligence in the aviation market. Restrains: The lack of skills and experience associated with AI are one of the restrains which hinders the growth of the Artificial Intelligence in Aviation Market. The smaller number of experts in artificial intelligence and high investment cost will hamper the market’s growth rate. Also, concerns linked with data privacy will further pose a challenge to the market. Another factor is the lack of skilled labour for analysing huge data recorded will obstruct the market’s growth. Lack of skilled labour to analyze massive amounts of data collected & derived insights, security concerns, and system malfunctions are the major impediments to artificial intelligence in the aviation market. Opportunities: There is a huge opportunity in the artificial intelligence market in aviation as airline companies are eager to adopt advanced technologies to avoid disruptions in passenger services. AI will also help to improve real-time decision making in order to keep the business running smoothly. It will allow for least amount of human intervention. However, the systems can make mistakes while performing analysis and making real-time decisions which leads to the growth of artificial intelligence in the aviation market opportunity. Challenges: Security concerns and system malfunctions are challenging the growth of artificial intelligence in the aviation market. One of the biggest challenges in Artificial Intelligence in Aviation Market is security of data and malfunctioning of systems in the right time. Artificial Intelligence relies on good data. One needs to identify not only the right sources but the right amount of data. Overloading the system with too many data sources can slow things down significantly. Sudden malfunction of systems in the process abrupt the processes. On the other hand, Ground handling is often one of the biggest challenges keeping an airport on schedule. AI can help predict handling times, plan ideal schedules, and prevent teams from stepping on each other’s toes. AI is an incredible tool for improving communication to make the entire ground handling process move smoothly and more efficiently. COVID-19 Impact on Artificial Intelligence in Aviation Market: The current COVID-19 pandemic has had a negative impact on the market, with manufacturing activities being temporarily halted across major manufacturing hubs, resulting in a significant production slowdown. Due to the increased restrictions on public meetings and travel, the people are getting isolated. Due to supply chain delays, stock market instability, halting of airlines, business dealing in the artificial intelligence in aviation business are also feeling the effects of the COVID-19 epidemic. It has directly impacted production and demand of artificial intelligence in aviation causing supply chain and market disruption. As airports are shut down due to lockdown restrictions, the use of artificial intelligence in aviation is halted, negatively impacting the market share.

Artificial Intelligence in Aviation Market Segment Analysis:

Based on Offering, the software held the largest share of the overall market. This is due to the developments in AI software for applications such as surveillance, flight operations, and airport operations. AI systems comprise software including application interfaces, such as language, speech, vision, and sensor data, alongside machine learning algorithms, to understand various applications within the aviation industry. The increase in investment in R&D to develop advanced AI software for applications such as surveillance, flight operations, and airport operations leads to the growth of the software segment of Market.

Artificial Intelligence in Aviation Market, by Offering in 2023 (%)

Artificial Intelligence in Aviation Market Based on the Application, the segment Virtual assistants are dominating the market with the highest CAGR of xx% throughout the forecast period. AI-based virtual assistants help airline companies improve their productivity and increase the efficiency of pilots by reducing recurring works, such as changing radio channels, reading wind forecasts, and providing position information on requests. These recurring jobs are taken care of by the AI-enabled virtual assistants. Garmin (US) offers AI-enabled audio panels that help pilots operate these panels without taking their hands off the controls. These all factors lead to the growth of the Market.

Artificial Intelligence in Aviation Market, by  Application in 2023 (%)

Artificial Intelligence in Aviation Market Based on Technology, The machine learning segment holds the largest market share in 2023. Machine learning’s ability to gather and handle big data, alongside its increased ability to perform previously impossible calculations, is fueling the expansion of the marketplace for machine learning. Machine learning helps to manage a large amount of data and understand the trends and pattern that could have been not possible to manage that large amount of data by humans. The machine learning also helps in managing and improving the multi-dimensional and large amount data and improving their skills in having no errors in them with the help of Al technology. Machine learning is helpful for those who are in the field of e-commerce or the healthcare providers from which they can make use of ML to get immense help in their market growth and also it helps in the increase of the human work efficiency. The use of this application gives the customers a very personal experience to use this while targeting the right customers which leads to the growth of the machine learning segment of Market.

Artificial Intelligence in Aviation Market, by Technology in 2023 (%)

Artificial Intelligence in Aviation Market

Artificial Intelligence in Aviation Market Regional Insights:

The Asia-Pacific region is expected to witness significant growth at a CAGR of xx% through the forecast period. The huge demand for AI technologies from countries such as China and Japan to increase the efficiency of their aviation sector leads to the growth of the Artificial Intelligence in Aviation Market. The developing countries are mostly focusing on implementation of new technologies are focusing on adoption of virtual assistants to several airports to serve air travellers. For instance, Alibaba Group from China has announced to supply AI based solutions to avoid congestion at the Beijing airport. These solutions would help pilots find a parking slot for their aircraft easily. Additionally, the increasing adoption of machine learning and NLP technologies for virtual assistance and training applications within the aviation sector is driving the expansion of the market in this region. North America region is considered to be the second fastest growing market during the forecast period because of the new technological software that includes application program interfaces, such as speech, language, sensor data, and vision along with machine learning algorithms, to realize various applications in the aviation industry. Virtual assistance, smart maintenance, manufacturing, and surveillance are some key application areas in North America. Additionally, the US is one of the important countries in the world in terms of accepting Market technologies in many application areas. Continuous development in air travellers is boosting airline companies to accept all. The objective of the report is to present a comprehensive analysis of the Market to the stakeholders in the industry. The past and current status of the industry with the forecasted market size and trends are presented in the report with the analysis of complicated data in simple language. The report covers all the aspects of the industry with a dedicated study of key players that include market leaders, followers, and new entrants. PORTER, PESTEL analysis with the potential impact of micro-economic factors of the market have been presented in the report. External as well as internal factors that are supposed to affect the business positively or negatively have been analyzed, which will give a clear futuristic view of the industry to the decision-makers. The reports also help in understanding the Market dynamic, structure by analyzing the market segments and projecting the Market size. Clear representation of competitive analysis of key players by Vehicle type, price, financial position, product portfolio, growth strategies, and regional presence in the Market make the report investor’s guide.

Artificial Intelligence in Aviation Market Scope: Inquire before buying

Global Artificial Intelligence in Aviation Market
Report Coverage Details
Base Year: 2023 Forecast Period: 2024-2030
Historical Data: 2018 to 2023 Market Size in 2023: US$ 410.31 Mn.
Forecast Period 2024 to 2030 CAGR: 47.07% Market Size in 2030: US$ 6106.34 Mn.
Segments Covered: by Offering Hardware Software Services
by Application Virtual Assistants Smart Maintenance Manufacturing Training Surveillance Flight Operations Dynamic Pricing Others
by Technology Machine Learning Natural Language Processing Context Awareness Computing Computer Vision

Artificial Intelligence in Aviation Market, by Region

North America (United States, Canada and Mexico) Europe (UK, France, Germany, Italy, Spain, Sweden, Austria, Turkey, Russia and Rest of Europe) Asia Pacific (China, India, Japan, South Korea, Australia, ASEAN and Rest of APAC) Middle East and Africa (South Africa, GCC, Egypt, Nigeria and Rest of ME&A) South America (Brazil, Argentina, Columbia and Rest of South America)

Artificial Intelligence in Aviation Market, Key Players are

1. Intel 2. NVIDIA 3. IBM 4.Micron 5. Samsung 6. Xilinx 7. Amazon 8. Microsoft 9. Airbus 10. Boeing 11. General Electric 12. Thales 13. Lockheed Martin 14. Garmin 15. Nvidia 16. GE 17. Pilot AI Labs 18. Neurala 19. Northrop Grumman 20. IRIS Automation 21. Kittyhawk Frequently Asked Questions: 1] What segments are covered in the Market report? Ans. The segments covered in the Artificial Intelligence in Aviation Market report are based on Offering, Application and Technology. 2] Which region is expected to hold the highest share in the Market? Ans. Asia-Pacific and North America region is expected to hold the highest share in the Artificial Intelligence in Aviation Market. 3] What is the market size of the Market by 2030? Ans. The market size of the Artificial Intelligence in Aviation Market by 2030 is expected to reach US$ 6106.34 Mn. 4] What is the forecast period for the Market? Ans. The forecast period for the Artificial Intelligence in Aviation Market is 2024-2030. 5] What was the market size of the Market in 2023? Ans. The market size of the Artificial Intelligence in Aviation Market in 2023  was valued at US$ 410.31 Mn.
1. Artificial Intelligence in Aviation Market: Research Methodology 2. Artificial Intelligence in Aviation Market: Executive Summary 2.1. Market Overview and Definitions 2.1.1. Introduction to Artificial Intelligence in Aviation Market 2.2. Summary 2.2.1. Key Findings 2.2.2. Recommendations for Investors 2.2.3. Recommendations for Market Leaders 2.2.4. Recommendations for New Market Entry 3. Artificial Intelligence in Aviation Market: Competitive Analysis 3.1. MMR Competition Matrix 3.1.1. Market Structure by region 3.1.2. Competitive Benchmarking of Key Players 3.2. Consolidation in the Market 3.2.1 M&A by region 3.3. Key Developments by Companies 3.4. Market Drivers 3.5. Market Restraints 3.6. Market Opportunities 3.7. Market Challenges 3.8. Market Dynamics 3.9. PORTERS Five Forces Analysis 3.10. PESTLE 3.11. Regulatory Landscape by region • North America • Europe • Asia Pacific • The Middle East and Africa • South America 3.12. COVID-19 Impact 4. Artificial Intelligence in Aviation Market Segmentation 4.1. Artificial Intelligence in Aviation Market, By Offerings (2023-2030) • Hardware • Software • Services 4.2. Artificial Intelligence in Aviation Market, By Application (2023-2030) • Virtual Assistants • Smart Maintenance • Manufacturing • Training • Surveillance • Flight Operations • Dynamic Pricing • Others 4.3. Artificial Intelligence in Aviation Market, By Technology (2023-2030) • Machine Learning • Natural Language Processing • Context Awareness Computing • Computer Vision 5. North America Artificial Intelligence in Aviation Market (2023-2030) 5.1. North America Artificial Intelligence in Aviation Market, By Offerings (2023-2030) • Hardware • Software • Services 5.2. North America Artificial Intelligence in Aviation Market, By Application (2023-2030) • Virtual Assistants • Smart Maintenance • Manufacturing • Training • Surveillance • Flight Operations • Dynamic Pricing • Others 5.3. North America Artificial Intelligence in Aviation Market, By Technology (2023-2030) • Machine Learning • Natural Language Processing • Context Awareness Computing • Computer Vision 5.4. North America Artificial Intelligence in Aviation Market, by Country (2023-2030) • United States • Canada • Mexico 6. European Artificial Intelligence in Aviation Market (2023-2030) 6.1. European Artificial Intelligence in Aviation Market, By Offerings (2023-2030) 6.2. European Artificial Intelligence in Aviation Market, By Application (2023-2030) 6.3. European Artificial Intelligence in Aviation Market, By Technology (2023-2030) 6.4. European Artificial Intelligence in Aviation Market, by Country (2023-2030) • UK • France • Germany • Italy • Spain • Sweden • Austria • Rest Of Europe 7. Asia Pacific Artificial Intelligence in Aviation Market (2023-2030) 7.1. Asia Pacific Artificial Intelligence in Aviation Market, By Offerings (2023-2030) 7.2. Asia Pacific Artificial Intelligence in Aviation Market, By Application (2023-2030) 7.3. Asia Pacific Artificial Intelligence in Aviation Market, By Technology (2023-2030) 7.4. Asia Pacific Artificial Intelligence in Aviation Market, by Country (2023-2030) • China • India • Japan • South Korea • Australia • ASEAN • Rest Of APAC 8. Middle East and Africa Artificial Intelligence in Aviation Market (2023-2030) 8.1. Middle East and Africa Artificial Intelligence in Aviation Market, By Offerings (2023-2030) 8.2. Middle East and Africa Artificial Intelligence in Aviation Market, By Application (2023-2030) 8.3. Middle East and Africa Artificial Intelligence in Aviation Market, By Technology (2023-2030) 8.4. Middle East and Africa Artificial Intelligence in Aviation Market, by Country (2023-2030) • South Africa • GCC • Egypt • Nigeria • Rest Of ME&A 9. South America Artificial Intelligence in Aviation Market (2023-2030) 9.1. South America Artificial Intelligence in Aviation Market, By Offerings (2023-2030) 9.2. South America Artificial Intelligence in Aviation Market, By Application (2023-2030) 9.3. South America Artificial Intelligence in Aviation Market, By Technology (2023-2030) 9.4. South America Artificial Intelligence in Aviation Market, by Country (2023-2030) • Brazil • Argentina • Rest Of South America 10. Company Profile: Key players 10.1 Intel 10.1.1. Company Overview 10.1.2. Financial Overview 10.1.3. Global Presence 10.1.4. Capacity Portfolio 10.1.5. Business Strategy 10.1.6. Recent Developments 10.2. NVIDIA 10.3. IBM 10.4. Micron 10.5. Samsung 10.6. Xilinx 10.7. Amazon 10.8. Microsoft 10.9. Airbus 10.10. Boeing 10.11. General Electric 10.12. Thales 10.13. Lockheed Martin 10.14. Garmin 10.15. Nvidia 10.16. GE 10.17. Pilot AI Labs 10.18. Neurala 10.19. Northrop Grumman 10.20. IRIS Automation 10.21. Kittyhawk
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