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The Artificial Intelligence (AI) in aviation market size is forecast to increase by USD 11.69 billion, at a CAGR of 65.25% between 2023 and 2028. The market is witnessing an increase in the adoption of AI, particularly for expediting processes like check-in and baggage screening, enhancing operational efficiency, and elevating passenger experience. However, challenges such as the substantial cost of AI technology and regulatory apprehensions regarding its safety pose hurdles to its widespread implementation. Concerns over data privacy and security further complicate AI integration in aviation. Despite these obstacles, the industry remains committed to leveraging artificial intelligence advancements to streamline operations and improve customer satisfaction. As the demand for seamless travel experiences continues to grow, the industry is tasked with addressing these challenges to realize the full potential of AI in revolutionizing air travel. Efforts to mitigate concerns and ensure responsible AI deployment are crucial for sustaining the industry's growth trajectory while prioritizing safety and privacy.
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The increasing use of AI for quicker check-in and baggage screening in the aviation industry. Artificial. AI is revolutionizing the aviation industry by enhancing productivity and pilot efficiency. AI systems are integrated into airport check-ins for quicker processing and intrusion detection, ensuring security. Radio channels are optimized with AI algorithms for efficient communication between pilots and air traffic control. Wind forecasts are accurately predicted using AI models, reducing fuel consumption and delays. Position information is analyzed in real-time using AI to optimize flight routes and reduce travel time. Investment pockets lie in the development of AI-based flight management systems, predictive maintenance solutions, and advanced air traffic control systems.
The software segment was valued at USD 109.10 million in 2018. Artificial Intelligence (AI) plays a pivotal role in the aviation industry, with CEOs, VPs, and executives at airlines embracing this technology for enhanced operations. AI offers various applications, including machine learning algorithms for flight planning and optimization, predictive maintenance, and air traffic management. Thales, a leading technology provider, offers AI-driven solutions for anomaly detection, system resilience, and smart twins at ATC centers. AI also powers chatbots for customer service, dynamic pricing, and surveillance. Additionally, AI facilitates greener operations through cost-effective simulations, training, and computer vision. Hence, such factors are fuelling the growth of this segment during the forecast period.
North America is estimated to contribute 45% to the growth of the global market during the forecast period. Artificial Intelligence (AI) is revolutionizing the aviation sector, with North America leading the global market in 2023 due to the adoption of IoT, big data, and factory automation technologies. CEOs, VPs, and executives in airlines are investing in AI to enhance security, improve operations, and offer cost-effective solutions.
Moreover, AI is also used for baggage screening, passenger identification, maintenance, customer support, and facial recognition. Machine learning algorithms enable dynamic pricing, system resilience, and smart twins for Air Traffic Control (ATC) centers and simulations. AI offers timely management, system efficiency, and cost-effectiveness in areas such as flight operations, training, controllers and computer vision. However, concerns regarding system efficiency, security, and the need for skilled labor persist. AI is essential for greener operations, fuel optimization, and automation in aviation. These elements are expected to change the outlook for AI in the aviation market in North America during the forecast period.
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The market is fragmented in nature. Some significant players include Advanced Micro Devices Inc, Airbus SE, Garmin Ltd., General Electric Co., Intel Corp.
Advanced Micro Devices Inc.- The company offers artificial intelligence in aviation such as Xilinx Versal Adaptive Compute Acceleration Platform.
The research report also includes detailed analyses of the competitive landscape of the market and information about 15 market companies, including Advanced Micro Devices Inc., Airbus SE, Garmin Ltd., General Electric Co., Intel Corp., International Business Machines Corp., Iris Automation Inc., Lockheed Martin Corp., Microsoft Corp., MINDTITAN OU, Mphasis Ltd., Neurala Inc., Northrop Grumman Corp., NVIDIA Corp., Paladin AI, Samsung Electronics Co. Ltd., Searidge Technologies, TAV Technologies, Thales Group, and The Boeing Co.
The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in "USD Billion" for the period 2024 to 2028, as well as historical data from 2018 to 2022 for the following segments.
Artificial Intelligence (AI) is revolutionizing the aviation industry by introducing advanced technologies that enhance marketing strategies. Airports and airlines are leveraging AI-based solutions to provide personalized services, streamline operations, and improve customer experience. Predictive analytics is used to anticipate traveler needs, optimize pricing, and manage inventory. Computer vision and machine learning algorithms are employed for facial recognition, baggage handling, and route optimization. Chatbots and virtual assistants facilitate seamless communication between customers and service providers. AI-driven marketing campaigns are designed based on passenger data, preferences, and behavior patterns.
In short, AI is transforming aviation marketing by enabling targeted, efficient, and data-driven solutions. Artificial intelligence is transforming various industries, including aviation and marketing, through predictive analytics, computer vision, and machine learning. Technologies such as facial recognition and chatbots are enhancing baggage handling and route optimization. Virtual assistants and personalized services help streamline operations and improve customer experience. In marketing, data-driven approaches enable targeted and efficient strategies for pricing and inventory management. These advancements contribute to more efficient and data-driven decision-making processes across aviation industry.
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Market Scope |
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Report Coverage |
Details |
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Page number |
174 |
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Base year |
2023 |
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Historic period |
2018 - 2022 |
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Forecast period |
2024-2028 |
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Growth momentum & CAGR |
Accelerate at a CAGR of 65.25% |
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Market growth 2024-2028 |
USD 11.69 billion |
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Market structure |
Fragmented |
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YoY growth 2023-2024(%) |
47.29 |
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Regional analysis |
North America, Europe, APAC, South America, and Middle East and Africa |
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Performing market contribution |
North America at 45% |
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Key countries |
US, Germany, China, UK, and France |
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Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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Key companies profiled |
Advanced Micro Devices Inc., Airbus SE, Garmin Ltd., General Electric Co., Intel Corp., International Business Machines Corp., Iris Automation Inc., Lockheed Martin Corp., Microsoft Corp., MINDTITAN OU, Mphasis Ltd., Neurala Inc., Northrop Grumman Corp., NVIDIA Corp., Paladin AI, Samsung Electronics Co. Ltd., Searidge Technologies, TAV Technologies, Thales Group, and The Boeing Co. |
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Market dynamics |
Parent market analysis, Market trends, market growth analysis, market research and growth, market growth and forecasting, market forecasting, market report, market forecast, Market growth inducers and obstacles, Fast-growing and slow-growing segment analysis, COVID 19 impact and recovery analysis and future consumer dynamics, Market condition analysis for forecast period |
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Customization purview |
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1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation by Component
7 Market Segmentation by Application
8 Customer Landscape
9 Geographic Landscape
10 Drivers, Challenges, and Opportunity/Restraints
11 Competitive Landscape
12 Competitive Analysis
13 Appendix
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