Global AI In Aviation
Market Report
2024
The Global AI in Aviation Market size is USD 2151.2 million in 2023 and will expand at a compound annual growth rate (CAGR) of 20.5% from 2023 to 2030.
The base year for the calculation is 2023 and 2019 to 2023 will be historical period. The year 2024 will be estimated one while the forecasted data will be from year 2025 to 2031. When we deliver the report that time we updated report data till the purchase date.
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According to Cognitive Market Research, The Global AI in Aviation Market size is USD 2151.2 million in 2023 and will expand at a compound annual growth rate (CAGR) of 20.5% from 2023 to 2030.
Base Year | 2023 |
Historical Data Time Period | 2019-2023 |
Forecast Period | 2024-2031 |
Global AI In Aviation Market Sales Revenue 2023 | $ 2151.2 Million |
Global AI In Aviation Market Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 20.5% |
North America AI In Aviation Sales Revenue 2023 | $ 860.48 Million |
North America AI In Aviation Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 18.7% |
Europe AI In Aviation Sales Revenue 2023 | $ 645.36 Million |
Europe AI In Aviation Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 19% |
Asia Pacific AI In Aviation Sales Revenue 2023 | $ 494.78 Million |
Asia Pacific AI In Aviation Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 22.5% |
South America AI In Aviation Sales Revenue 2023 | $ 107.56 Million |
South America AI In Aviation Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 19.9% |
Middle East and Africa AI In Aviation Sales Revenue 2023 | $ 43.02 Million |
Middle East and Africa AI In Aviation Compound Annual Growth Rate (CAGR) for 2024 to 2031 | 20.2% |
Market Split by Offering |
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Market Split by Enterprises Size |
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Market Split by Technology |
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List of Competitors |
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Regional Analysis |
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Country Analysis |
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Key Qualitative Information Covered |
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AI In Aviation Market is Segmented as below. Particular segment of your interest can be provided without any additional cost. Download the Sample Pages!
Key players in the AI in Aviation Market employ various strategies to maintain and enhance their market presence. AI in Aviation leverages artificial intelligence for data analysis, automation, and decision-making within the aviation sector. This technology optimizes operational efficiency, enhances safety protocols, and elevates overall customer experiences by incorporating intelligent solutions that streamline processes and contribute to the advancement of the aviation industry. The booming demand for airline operation automation and efficiency is expected to fuel a significant expansion of artificial intelligence in the aviation sector between 2023 and 2030. The industry, which is divided into hardware, software, and services categories, uses state-of-the-art technologies like computer vision, natural language processing, context awareness computing, and machine learning. Applications including manufacturing, training, smart maintenance, and virtual help are useful to businesses of all sizes. Increased focus on safety, passenger experience, and technical developments are growth aspects highlighted by global regional study. On the other hand, difficulties include significant implementation costs and regulatory barriers. Trends for the future point to increased use of AI for autonomy and improvements in air traffic control.
Aircra The application of cutting-edge technologies has made artificial intelligence (AI) a crucial component of aviation safety measures. The development of autonomous systems where AI algorithms are incorporated into flight control systems to enhance decision-making procedures is a crucial component. By effectively handling jobs like navigation, accident avoidance, and emergency responses, these autonomous systems can lower the possibility of human mistakes and increase overall safety.
Another essential use of AI in aircraft is predictive maintenance. Artificial intelligence (AI) systems can anticipate any problems before they arise by evaluating enormous volumes of data from aircraft sensors and previous maintenance records. By taking a proactive stance, airlines can more effectively plan maintenance tasks, reducing the likelihood of in-flight issues and guaranteeing the ongoing dependability of safety is greatly improved by artificial intelligence (AI) thanks to developments in autonomous systems, predictive maintenance, and real-time monitoring. These solutions provide optimal performance and lower the risk of accidents by enabling proactive identification and mitigation of potential difficulties. AI-powered solutions support overall aviation safety standards by facilitating more effective decision-making processes. AI in aviation reduces human mistakes and encourages proactive maintenance, which together result in a more dependable and safe flying experience.
Aviation operational performance is revolutionized by artificial intelligence (AI), which streamlines processes and optimizes important elements. Airlines benefit from increased fuel efficiency as a result of AI-driven developments, since smart algorithms evaluate real-time data to maximize engine performance. Planning a route becomes more accurate, responding more quickly to shifting circumstances, and increasing productivity all around. Artificial intelligence (AI) has predictive skills that help logistics, resulting in efficient and timely supply chain management. Artificial Intelligence reduces delays and disturbances by optimizing and automating decision-making processes. The incorporation of artificial intelligence (AI) into aviation operations not only improves productivity but also places the sector in a more sustainable and economical position in a dynamic and fiercely competitive global market.
The wide growth of AI in aviation is impeded by strict restrictions, necessitating modifications to compliance and authorization. Aviation AI is facing obstacles from strict laws that require essential improvements to assure compliance and acquire valid licenses. The implementation of advanced artificial intelligence technology is hindered by certain constraints imposed by aviation authorities. It becomes imperative to modify AI systems to comply with regulatory requirements, which calls for careful examination and modifications to guarantee adherence to operational, security, and safety procedures. For artificial intelligence (AI) to be widely used in aviation and for the sector to fully utilize AI's potential for improved safety, efficiency, and innovation in air travel, these legislative obstacles must be removed.
The COVID-19 epidemic had a major effect on the aviation AI market. The adoption of AI in the aviation industry was initially slowed down by extensive travel restrictions and a steep fall in air travel. Investment in cutting-edge technologies was hampered by operational problems and budgetary restrictions. The pandemic did, however, also bring attention to how important AI may be for crisis management. AI is now being used more and more for contactless travel, health monitoring, and operational resilience in the wake of COVID-19. AI applications are being investigated more and more by airports and airlines for cost-effective operations, crew management, and passenger safety. The pandemic served as a catalyst, quickening the industry's acknowledgment of artificial intelligence's potential to improve productivity, security, and flexibility in the face of unanticipated barriers, and stimulating increased interest in and investment in AI technology within the.
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The major players rapidly evolve with new strategies to attain a competitive edge and capture significant market share. The major AI in Aviation Market participants emphasize expanding creative offerings to serve a large consumer base and gain a competitive benefit.
Top Companies Market Share in AI In Aviation Industry: (In no particular order of Rank)
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Global AI In Aviation Market Report 2024 Edition talks about crucial market insights with the help of segments and sub-segments analysis. In this section, we reveal an in-depth analysis of the key factors influencing AI In Aviation Industry growth. AI In Aviation market has been segmented with the help of its Offering, Enterprises Size Technology, and others. AI In Aviation market analysis helps to understand key industry segments, and their global, regional, and country-level insights. Furthermore, this analysis also provides information pertaining to segments that are going to be most lucrative in the near future and their expected growth rate and future market opportunities. The report also provides detailed insights into factors responsible for the positive or negative growth of each industry segment.
According to Cognitive Market Research, the hardware, software, and service-providing sectors in the worldwide AI in aviation market each have unique effects on the industrial landscape. The desire for enhanced computing power and data processing capabilities has led to rapid growth in the hardware segment, which includes components like processors and sensors. The software industry propels innovation in autonomous systems, predictive maintenance, and operational optimization through the use of algorithms, machine learning models, and AI applications. But the services sector which includes advising, maintenance, and implementation services shows significant relevance as businesses look for professional help with maintaining and integrating sophisticated AI technology.
The services sector is essential for guaranteeing seamless integration, meeting customization requests, and offering continuing support, even though hardware and software also make substantial contributions to technical breakthroughs. With hardware, software, and services all working together to shape the aviation industry's revolutionary journey towards safer, more effective, and intelligent air transport solutions, the dynamic interplay between these segments illustrates the comprehensive character of AI adoption in the sector.
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According to Cognitive Market Research, the aviation AI market has unique patterns across key applications, as revealed by enterprise size segmentation. Bigger companies have a stronger preference for Virtual Assistance solutions and use their resources to deploy cutting-edge technologies for customer engagement and operational effectiveness.
Adopting AI strategically puts big businesses at the forefront of AI-driven innovation by improving passenger experiences and streamlining internal procedures. At the same time, both large and small businesses are implementing Smart Maintenance, which is essential for predictive maintenance procedures. Smart Maintenance solutions are flexible enough to operate at different scales, thanks to their scalability and accessibility, which promotes developments in the sector as a whole. Large businesses utilize AI in manufacturing to optimize automated processes, while training apps are widely used by businesses of all kinds, demonstrating how AI is widely acknowledged as being essential to.
The above Graph is for representation purposes only. This chart does not depict actual Market share. Please purchase the AI In Aviation market report 2024 Edition by contacting our team.
According to Cognitive Market Research, Artificial Intelligence in Aviation (AI) comprises a range of components, including Machine Learning, Context Awareness Computing, Natural Language Processing, Computer Vision, and more. Machine learning makes it possible for systems to grow and change, which improves decision-making. By incorporating situational awareness, context-aware computing enhances real-time reactions.
Human-machine communication is facilitated by natural language processing. AI is enabled to comprehend visual data through computer vision. By streamlining processes, guaranteeing security, and improving passenger experiences, these technologies taken together revolutionize aviation. AI is changing the aviation sector across multiple functional domains through the dynamic integration of technologies such as Computer Vision, Natural Language Processing, Context Awareness Computing, Machine Learning, and others. This approach highlights the holistic nature of AI.
According to Cognitive Market Research, North America dominated the market in 2023 and accounted for around 40% of the global revenue, as artificial intelligence (AI) in the aviation industry continues to rise, North America is the leading region. The region's supremacy can be linked to several variables that have facilitated the aviation industry's widespread embrace of AI technologies. North America is at the vanguard of AI integration in aviation due to the region's abundance of significant aviation industry players, cutting-edge technology, strong infrastructure, and a welcoming regulatory framework.
Asia Pacific is the fastest-growing category. Predictive maintenance, optimized flight operations, and improved safety measures are just a few of the features that AI applications in aviation can accomplish. AI algorithms are used by Asia Pacific airlines and aviation service providers to evaluate large datasets, which enhances operational performance, fuel efficiency, and decision-making procedures. Asia Pacific is further propelled into a leadership position in the Global AI in Aviation market by the region's dedication to research and development in AI technologies as well as the strategic alliances formed between technology companies and aviation stakeholders.
The current report Scope analyzes AI In Aviation Market on 5 major region Split (In case you wish to acquire a specific region edition (more granular data) or any country Edition data then please write us on info@cognitivemarketresearch.com
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According to Cognitive Market Research, the global AI in Aviation Market size was estimated at USD 2151.2 Million, out of which North America held the major market of more than 40% of the global revenue with a market size of USD 860.48 million in 2023 and will grow at a compound annual growth rate (CAGR) of 18.7 % from 2023 to 2030 due to operational optimization, predictive maintenance, and safety improvements. Additionally, the artificial intelligence ecosystem is being actively shaped by industrial partnerships and regulatory frameworks, which are establishing the region as a major participant in the continuous advancement and application of AI technologies. According to Cognitive Market Research, virtual assistance solutions are notably popular across enterprises of various sizes. Leveraging artificial intelligence, virtual assistants enhance customer interactions, streamline inquiries, and improve overall passenger experience. From automated chatbots to voice-activated systems, virtual assistance applications optimize communication and support services. As North American aviation prioritizes efficiency and passenger satisfaction, the adoption of AI-driven virtual assistance solutions aligns with the region's commitment to cutting-edge technology, improving operational processes, and providing a seamless travel experience. The demand for virtual assistance solutions is anticipated to grow as the aviation industry in North America continues to integrate AI for enhanced customer engagement.
According to Cognitive Market Research, the global AI in Aviation Market size was estimated at USD 2151.2 Million, out of which Europe held the major market of more than 30% of the global revenue with a market size of USD 645.36 million in 2023 and will grow at a compound annual growth rate (CAGR) of 19 % from 2023 to 2030 due to stems from tech prowess, regulatory support, efficiency needs, sustainability focus. Additionally, the adoption of AI-driven solutions for improved operational efficiency, security protocols, and customer experiences is what's driving the market expansion. According to Cognitive Market Research, smart maintenance solutions stand out as a popular segment across enterprises of diverse sizes. Leveraging artificial intelligence, smart maintenance optimizes aircraft maintenance processes, predicts equipment failures, and enhances overall operational efficiency. European aviation entities prioritize the integration of AI to reduce downtime, improve safety, and cut maintenance costs. As the region emphasizes innovation in aviation technology, the demand for AI-driven smart maintenance solutions is anticipated to grow. This segment aligns with Europe's commitment to advancing aviation capabilities through sophisticated technologies, contributing to a safer, more efficient, and technologically advanced aviation industry.
According to Cognitive Market Research, the global AI in Aviation Market size was estimated at USD 2151.2 Million, out of which Asia-Pacific held the major market of more than 23% of the global revenue with a market size of USD 494.78 million in 2023 and will grow at a compound annual growth rate (CAGR) of 22.5% from 2023 to 2030 due to by rapid technological adoption, expanding aviation sector, and increasing operational efficiency demands. Additionally, the nation's dedication to technological advancement and the application of AI brings a rise in the market for this region. According to Cognitive Market Research, software solutions emerge as a popular and pivotal segment. The region's aviation industry embraces AI-driven software applications for enhanced operational efficiency, safety, and passenger services. These include advanced algorithms for flight optimization, predictive maintenance, and data analytics, contributing to streamlined operations and improved decision-making. Asia-Pacific airlines and aviation stakeholders prioritize software innovations to harness the transformative potential of artificial intelligence. The demand for AI software solutions is anticipated to escalate as the region continues to invest in cutting-edge technologies, positioning itself at the forefront of the global aviation landscape through intelligent, data-driven applications.
According to Cognitive Market Research, the global AI in Aviation Market size was estimated at USD 2151.2 Million, out of which Latin America held the major market of more than 5% of the global revenue with a market size of USD 107.56 million in 2023 and will grow at a compound annual growth rate (CAGR) of 19.9 % from 2023 to 2030 due to by rising tech adoption, aviation growth, and increased efficiency demands. Additionally, a concentration on improving operating capabilities, the upgrading of aviation infrastructure, and the rise in demand for air travel are some of the causes driving the expansion. According to Cognitive Market Research, software solutions have emerged as a popular segment. As the region's aviation industry seeks to enhance operational efficiency and passenger experience, AI-driven software applications play a pivotal role. These solutions include advanced algorithms for flight planning, predictive maintenance, and data analytics, contributing to improved decision-making and overall performance. Latin American airlines and aviation service providers prioritize software offerings to harness the benefits of artificial intelligence, aligning with global trends in aviation technology adoption. The demand for AI software solutions is expected to rise as the region continues to modernize its aviation infrastructure and operations.
According to Cognitive Market Research, the global AI in Aviation Market size was estimated at USD 2151.2 Million, out of which Middle East And Africa held the major market of more than 2% of the global revenue with a market size of USD 43.02 million in 2023 and will grow at a compound annual growth rate (CAGR) of 20.2% from 2023 to 2030 due to by increasing tech integration, aviation expansion, and efficiency requirements. Additionally, as these countries prioritize updating their aviation infrastructure and improving operational efficiency, they elevate the market According to Cognitive Market Research, smart maintenance solutions stand out as a popular segment across enterprises of varied sizes. Leveraging artificial intelligence, smart maintenance optimizes aircraft upkeep, predicts maintenance needs, and enhances overall operational efficiency. Airlines and aviation service providers in the region prioritize smart maintenance applications to improve safety, reduce downtime, and manage costs effectively. As the Middle East and Africa continue to invest in advanced aviation technologies, the demand for AI-driven smart maintenance solutions is expected to grow, contributing to a technologically advanced and efficient aviation sector in the region.
Senior Research Analyst at Cognitive Market Research
ResearchGate Profile: https://www.researchgate.net/profile/Kalyani-Raje
An optimistic Senior Research Analyst with years of experience in competitive assessment and business consulting. A seasoned professional and subject-matter expert (SME) in the Automobile and transportation vertical.
With a work experience of over 10+ years in the market research and strategy development. I have worked with diverse industries, including FMCG, IT, Telecom, Automotive, Electronics and many others. I also work closely with other departments such as sales, product development, and marketing to understand customer needs and preferences, and develop strategies to meet those needs.
I am committed to staying ahead in the rapidly evolving field of research and analysis. This involves regularly attending conferences, participating in webinars, and pursuing additional certifications to enhance my skill set. I played a crucial role in conducting market research and competitive analysis. I have a proven track record of distilling complex datasets into clear, concise reports that have guided key business initiatives. Collaborating closely with multidisciplinary teams, I contributed to the development of innovative solutions grounded in thorough research and analysis.
Table of Content differs accordign to the user License selction. Current Displayed TOC is for the Corporate User License Report Edition. TOC Customization options: Add or Remove section's Or chapter's from the report. Specific section's of report can be ordered at a discounted price. If applicable; On Request Volume Data will also be provided (at an Additional Cost).
Offering | Hardware, Software, Services |
Enterprises Size | Virtual assistance, Smart Maintenance, Manufacturing, Training |
Technology | Machine Learning, Context Awareness Computing, Natural Language Processing, Computer Version, Others |
List of Competitors | Samsung Electronics, Intel, Xilinx, Thales, IBM, Amazon, Nvidia, Microsoft, Garmin, Lockheed Martin, Boeing, Micron, Airbus, General Electric. |
This chapter will help you gain GLOBAL Market Analysis of AI In Aviation. Further deep in this chapter, you will be able to review Global AI In Aviation Market Split by various segments and Geographical Split.
Chapter 1 Global Market Analysis
Global Market Dynamics, Trends, Drivers, Restraints, Opportunities, Only Pointers will be deliverable
Global Market has been segmented on the basis 5 major regions such as North America, Europe, Asia-Pacific, Middle East & Africa, and Latin America.
Chapter 2 North America Market Analysis
Executive Summary North America Market (2019 vs 2024 vs 2031)
Purchase Add-Ons to Customize the Report Edition and get further granular data level data about the North America market. Add-On Cost: Request before placing the order, Respective Pricing will be informed after sending the inquiry
Qualitative Analysis for the North America Market: North America AI In Aviation Market Trends North America AI In Aviation Technological Road Map North America AI In Aviation Market Drivers North America AI In Aviation Market Restraints North America AI In Aviation Market Opportunity Market Attractiveness Analysis COVID – 19 Impact Analysis PESTEL Analysis Porter’s Five Forces Analysis Product Life Cycle Industrial Chain Analysis
Chapter 3 Europe Market Analysis
Chapter 4 Asia-Pacific Market Analysis
Chapter 5 South America Market Analysis
Chapter 6 Middle East and Africa Market Analysis
Only Available with Corporate User License
Chapter 7 Top 10 Countries Analysis
Competitor's Market Share and Revenue (Subject to Data Availability for Private Players)
Chapter 8 Competitor Analysis (Subject to Data Availability (Private Players))
(Subject to Data Availability (Private Players))
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Chapter 9 Qualitative Analysis (Subject to Data Availability)
Segmentation Offering Analysis 2019 -2031, will provide market size split by Offering. This Information is provided at Global Level, Regional Level and Top Countries Level The report with the segmentation perspective mentioned under this chapters will be delivered to you On Demand. So please let us know if you would like to receive this additional data as well. No additional cost will be applicable for the same.
Chapter 10 Market Split by Offering Analysis 2019 -2031
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Chapter 11 Market Split by Enterprises Size Analysis 2019 -2031
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Chapter 12 Market Split by Technology Analysis 2019 -2031
This chapter helps you understand the Key Takeaways and Analyst Point of View of the global AI In Aviation market
Chapter 13 Research Findings
Here the analyst will summarize the content of entire report and will share his view point on the current industry scenario and how the market is expected to perform in the near future. The points shared by the analyst are based on his/her detailed in-depth understanding of the market during the course of this report study. You will be provided exclusive rights to interact with the concerned analyst for unlimited time pre purchase as well as post purchase of the report.
Why Hardware have a significant impact on AI In Aviation market? |
What are the key factors affecting the Hardware and Software of AI In Aviation Market? |
What is the CAGR/Growth Rate of Virtual assistance during the forecast period? |
By type, which segment accounted for largest share of the global AI In Aviation Market? |
Which region is expected to dominate the global AI In Aviation Market within the forecast period? |
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