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Aviation Artificial Intelligence Market - Global Forecast to 2025

Dublin, April 11, 2018 (GLOBE NEWSWIRE) -- The "Artificial Intelligence in Aviation Market by Offering, Technology, Application, and Geography - Global Forecast to 2025" report has been added to ResearchAndMarkets.com's offering.

The 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% during the forecast period.

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. However, limited number of experts in AI is restraining the growth of the AI in aviation market.

AI-based virtual assistants help airline companies improve the productivity and efficiency of their pilots by reducing their recurring works, such as changing radio channels, reading wind forecasts, and providing position information on request, among others. These recurring jobs are taken care by AI-enabled virtual assistants. Companies such as Garmin (US) offer AI-enabled audio panels, which are useful for pilots. Virtual assistants are also used by airline companies to improve customer services. AI-enabled virtual assistance can provide instant answers to simple questions (on flight status or services/offerings (audio, video, Wi-Fi) on flights) of customers, while customer representatives can attend to more important issues.

China and Japan are the major contributors to the growth of the AI in aviation market in APAC. The increasing adoption of machine learning and NLP technologies for virtual assistance and training applications in the aviation sector is supporting the growth of the AI in aviation market in this region. There is a huge demand for AI technologies from these countries to increase the efficiency of their aviation sector.

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
5.2.1.1 Use of Big Data in Aerospace Industry
5.2.1.2 Significant Increase in Capital Investments By Aviation Companies
5.2.1.3 Rising Adoption of Cloud-Based Applications and Services in Aviation Industry
5.2.2 Restraints
5.2.2.1 Limited Number of Experts in AI
5.2.3 Opportunities
5.2.3.1 Increasing Adoption of AI to Improve Customer Services
5.2.3.2 Improved Operational Efficiency With the Help of AI in Aviation Industry
5.2.4 Challenges
5.2.4.1 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

11 Company Profiles

For more information about this report visit https://www.researchandmarkets.com/research/43mr9j/aviation?w=12 



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