The global artificial intelligence (AI) in aviation market is expected to be valued at USD 152.4 Million in 2018 and is likely to reach USD 2,222.5 Million by 2025, at a CAGR of 46.65% between 2018 and 2025.
The major factors driving the growth of the AI in aviation market include the use of big data in the aerospace industry, significant increase in capital investments by aviation companies, and rising adoption of cloud-based applications and services in the aviation industry.
In this report, the AI in aviation market has been segmented on the basis of technology, offering, application, and geography. Among all offerings, software holds the largest share of the overall AI in aviation market. This is owing to the developments in AI software for applications such as surveillance, flight operations, and airport operations. AI systems comprise software including application program interfaces, such as language, speech, vision, and sensor data, along with machine learning algorithms, to realize various applications in the aviation industry.
Among all technologies, machine learning is likely to hold the largest share of the AI in aviation market during forecast period. Machine learning's ability to collect and handle big data, along with its increased ability to perform previously impossible calculations, is fueling the growth of the market for machine learning.
Among all applications, virtual assistants are expected to hold the largest share of the AI in aviation market 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 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.
The AI in aviation market in APAC is expected to grow at a high rate between 2018 and 2025. This growth can be attributed to the huge demand for AI technologies from countries such as China and Japan to increase efficiency of their aviation sector. For example, the Alibaba Group Holding Limited (China) has announced to provide AI-based solutions to avoid congestion at the Beijing Airport. These solutions would help pilots find parking slot for their aircraft easily. In addition, the increasing adoption of machine learning and NLP technologies for virtual assistance and training applications in the aviation sector is driving the growth of the market in APAC.
Some of the key players operating in the AI in aviation market are Intel (US), NVIDIA (US), IBM (US), Micron (US), Samsung (South Korea), Xilinx (US), Amazon (US), Microsoft (US), Airbus (France), Boeing (US), General Electric (US), Thales (France), Lockheed Martin (US), and Garmin (US).
Key Topics Covered:
1 Introduction 1.1 Objectives of the Study 1.2 Market Definition 1.3 Study Scope 1.4 Currency 1.5 Limitations 1.6 Stakeholders
2 Research Methodology
3 Executive Summary
4 Premium Insights 4.1 Attractive Market Opportunities in the AI in Aviation Market 4.2 AI in Aviation Market, By Offering 4.3 AI in Aviation Market, By Technology 4.4 AI in Aviation Market, By Application 4.5 AI in Aviation Market in North America, By Application and By Country 4.6 AI in Aviation Market, By Country
5 Market Overview 5.1 Introduction 5.2 Market Dynamics 5.2.1 Drivers 220.127.116.11 Use of Big Data in Aerospace Industry 18.104.22.168 Significant Increase in Capital Investments By Aviation Companies 22.214.171.124 Rising Adoption of Cloud-Based Applications and Services in Aviation Industry 5.2.2 Restraints 126.96.36.199 Limited Number of Experts in AI 5.2.3 Opportunities 188.8.131.52 Increasing Adoption of AI to Improve Customer Services 184.108.40.206 Improved Operational Efficiency With the Help of AI in Aviation Industry 5.2.4 Challenges 220.127.116.11 Concerns Regarding Data Privacy 5.3 Use Cases 5.3.1 Koninklijke Luchtvaart Maatschappij N.V. (The Netherlands): Virtual Assistant 5.3.2 Delta Air Lines, Inc. (US): Self-Service Kiosks 5.3.3 Southwest Airlines Co.(US): Flight Operations 5.3.4 United Airlines, Inc.(US): Virtual Assistant 5.3.5 Searidge Technologies (Canada): Air Traffic Control 5.3.6 Aerialtronics Dv B.V. (Netherlands), Neurala (US), and Nvidia (US): Flight Inspection 5.3.7 IRIS Automation Inc. (US): Surveillance 5.3.8 Easyjet (UK): Flight Operations 5.3.9 Kittyhawk (US): Virtual Assistant 5.3.10 Boeing (US): Smart Maintenance
6 AI in Aviation Market, By Offering 6.1 Introduction 6.2 Software 6.2.1 AI Solutions 6.2.2 AI Platforms 6.3 Hardware 6.3.1 Processors 6.3.2 Memory 6.3.3 Networks 6.4 Services 6.4.1 Deployment & Integration 6.4.2 Support & Maintenance
7 Artificial Intelligence in Aviation Market, By Technology 7.1 Introduction 7.2 Machine Learning 7.2.1 Deep Learning 7.2.2 Supervised Learning 7.2.3 Unsupervised Learning 7.2.4 Reinforcement Learning 7.2.5 Semi-Supervised Learning 7.3 Natural Language Processing (Nlp) 7.4 Context Awareness Computing 7.5 Computer Vision
8 AI in Aviation Market, By Application 8.1 Introduction 8.2 Smart Maintenance 8.3 Flight Operations 8.4 Training 8.5 Surveillance 8.6 Virtual Assistants 8.7 Dynamic Pricing 8.8 Manufacturing 8.8.1 Material Movement 8.8.2 Predictive Maintenance and Machinery Inspection 8.8.3 Production Planning 8.8.4 Quality Control 8.8.5 Reclamation 8.9 Others
9 AI in Aviation Market, By Geography
10 Competitive Landscape 10.1 Overview 10.2 Key Players in the AI in Aviation Market 10.3 Competitive Scenario 10.3.1 Product Launches 10.3.2 Partnerships/Agreements/Collaborations 10.3.3 Acquisitions 10.3.4 Expansions & Investments
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