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Market Research Report

Global Artificial Intelligence in Aviation Market 2018-2022

Published by TechNavio (Infiniti Research Ltd.) Product code 748514
Published Content info 108 Pages
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Global Artificial Intelligence in Aviation Market 2018-2022
Published: November 14, 2018 Content info: 108 Pages
Description

About this market

Big data is expected to positively impact the aviation market by enabling the cost-efficient design of products, and more efficient manufacturing and operations. The implementation of big data is increasing for structural health monitoring of an aircraft. Through sensors located in different parts of the aircraft structure and inner components, the stresses and strains developed within the structure are detected before the occurrence of failure. For instance, in an aircraft, if a part needs to be replaced when it lands, the system can inform the crew in advance via a message to keep the replacement ready, thereby minimizing the turnaround time.

Market Overview

Blockchain integration into aviation

The information in the aviation industry is deemed to be very sensitive and complex. Integration of blockchain into the industry can lead to vast improvements in the operational efficiency of the whole workflow. Blockchain technology may be incorporated by manufacturers and airline operators alike for comprehensive data sharing and reconciliation, leading to reduction of complexities associated with cross-enterprise business processes.

Concerns over security breach

Big data can revolutionize the world with its predictive power. The collection of huge data sets for legitimate analysis by computers may be at risk of becoming available for abuse by miscreants. The possible impacts of a cyberattack range from endangering the safety of an aircraft to affecting operational reliability, financial health, and business continuity.

For the detailed list of factors that will drive and challenge the growth of the artificial intelligence in aviation market during the 2018-2022, view our report.

Competitive Landscape

The market appears to be fragmented and with the presence of several companies including Intel and Microsoft the competitive environment is quite intense. Factors such as the blockchain integration into aviation and application of bigdata into aviation, will provide considerable growth opportunities to artificial intelligence in aviation companies. Airbus, Amazon, IBM, Intel, and Microsoft are some of the major companies covered in this report.

Table of Contents
Product Code: IRTNTR23448

TABLE OF CONTENTS

PART 01: EXECUTIVE SUMMARY

PART 02: SCOPE OF THE REPORT

PART 03: RESEARCH METHODOLOGY

PART 04: MARKET LANDSCAPE

  • Market ecosystem
  • Market characteristics
  • Market segmentation analysis

PART 05: MARKET SIZING

  • Market definition
  • Market sizing 2017
  • Market size and forecast 2017-2022

PART 06: FIVE FORCES ANALYSIS

  • Bargaining power of buyers
  • Bargaining power of suppliers
  • Threat of new entrants
  • Threat of substitutes
  • Threat of rivalry
  • Market condition

PART 07: MARKET SEGMENTATION BY APPLICATION

  • Segmentation by application
  • Comparison by application
  • Airline and airport operations - Market size and forecast 2017-2022
  • Manufacturing and MRO activities - Market size and forecast 2017-2022
  • Market opportunity by application

PART 08: CUSTOMER LANDSCAPE

PART 09: REGIONAL LANDSCAPE

  • Geographical segmentation
  • Regional comparison
  • Americas - Market size and forecast 2017-2022
  • EMEA - Market size and forecast 2017-2022
  • APAC - Market size and forecast 2017-2022
  • Key leading countries
  • Market opportunity

PART 10: DECISION FRAMEWORK

PART 11: DRIVERS AND CHALLENGES

  • Market drivers
  • Market challenges

PART 12: MARKET TRENDS

PART 13: VENDOR LANDSCAPE

  • Overview
  • Landscape disruption
  • Competitive scenario

PART 14: VENDOR ANALYSIS

  • Vendors covered
  • Vendor classification
  • Market positioning of vendors
  • Airbus
  • Amazon
  • IBM
  • Intel
  • Microsoft
  • List of abbreviations

List of Exhibits

  • Exhibit 01: Related market
  • Exhibit 02: Market characteristics
  • Exhibit 03: Market segments
  • Exhibit 04: Market definition - Inclusions and exclusions checklist
  • Exhibit 05: Market size 2017
  • Exhibit 06: Validation techniques employed for market sizing 2017
  • Exhibit 07: Global AI in aviation market - Market size and forecast 2017-2022 ($ million)
  • Exhibit 08: Global AI in aviation market - Year-over-year growth 2018-2022 (%)
  • Exhibit 09: Five forces analysis 2017
  • Exhibit 10: Five forces analysis 2022
  • Exhibit 11: Bargaining power of buyers
  • Exhibit 12: Bargaining power of suppliers
  • Exhibit 13: Threat of new entrants
  • Exhibit 14: Threat of substitutes
  • Exhibit 15: Threat of rivalry
  • Exhibit 16: Market condition - Five forces 2017
  • Exhibit 17: Application - Market share 2017-2022 (%)
  • Exhibit 18: Comparison by application
  • Exhibit 19: Airline and airport operations - Market size and forecast 2017-2022 ($ million)
  • Exhibit 20: Airline and airport operations - Year-over-year growth 2018-2022 (%)
  • Exhibit 21: Manufacturing and MRO activities - Market size and forecast 2017-2022 ($ million)
  • Exhibit 22: Manufacturing and MRO activities - Year-over-year growth 2018-2022 (%)
  • Exhibit 23: Market opportunity by application
  • Exhibit 24: Customer landscape
  • Exhibit 25: Global AI in aviation market - Market share by geography 2017-2022 (%)
  • Exhibit 26: Regional comparison
  • Exhibit 27: Americas - Market size and forecast 2017-2022 ($ million)
  • Exhibit 28: Americas - Year-over-year growth 2018-2022 (%)
  • Exhibit 29: EMEA - Market size and forecast 2017-2022 ($ million)
  • Exhibit 30: EMEA - Year-over-year growth 2018-2022 (%)
  • Exhibit 31: APAC - Market size and forecast 2017-2022 ($ million)
  • Exhibit 32: APAC - Year-over-year growth 2018-2022 (%)
  • Exhibit 33: Key leading countries
  • Exhibit 34: Market opportunity
  • Exhibit 35: Vendor landscape
  • Exhibit 36: Landscape disruption
  • Exhibit 37: Vendors covered
  • Exhibit 38: Vendor classification
  • Exhibit 39: Market positioning of vendors
  • Exhibit 40: Vendor overview
  • Exhibit 41: Airbus - Business segments
  • Exhibit 42: Airbus - Organizational developments
  • Exhibit 43: Airbus - Geographical focus
  • Exhibit 44: Airbus - Segment focus
  • Exhibit 45: Airbus - Key offerings
  • Exhibit 46: Airbus - Key customers
  • Exhibit 47: Amazon: Vendor overview
  • Exhibit 48: Amazon - Business segments
  • Exhibit 49: Amazon - Organizational developments
  • Exhibit 50: Amazon - Geographical focus
  • Exhibit 51: Amazon - Segment focus
  • Exhibit 52: Amazon - Key offerings
  • Exhibit 53: Amazon - Key customers
  • Exhibit 54: IBM: Vendor overview
  • Exhibit 55: IBM - Business segments
  • Exhibit 56: IBM - Organizational developments
  • Exhibit 57: IBM - Geographical focus
  • Exhibit 58: IBM - Segment focus
  • Exhibit 59: IBM - Key offerings
  • Exhibit 60: IBM - Key customers
  • Exhibit 61: Intel: Vendor overview
  • Exhibit 62: Intel - Business segments
  • Exhibit 63: Intel - Organizational developments
  • Exhibit 64: Intel - Geographical focus
  • Exhibit 65: Intel - Segment focus
  • Exhibit 66: Intel - Key offerings
  • Exhibit 67: Intel - Key customers
  • Exhibit 68: Microsoft: Vendor overview
  • Exhibit 69: Microsoft - Business segments
  • Exhibit 70: Microsoft - Organizational developments
  • Exhibit 71: Microsoft - Geographical focus
  • Exhibit 72: Microsoft - Segment focus
  • Exhibit 73: Microsoft - Key offerings
  • Exhibit 74: Microsoft - Key customers
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