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Global Artificial Intelligence in Aviation Market 2018-2022 - Product Image

Global Artificial Intelligence in Aviation Market 2018-2022

  • ID: 4703272
  • Report
  • Region: Global
  • 108 pages
  • TechNavio
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FEATURED COMPANIES

  • Airbus
  • Amazon
  • IBM
  • Intel
  • Microsoft
  • MORE
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 the 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.
Note: Product cover images may vary from those shown
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FEATURED COMPANIES

  • Airbus
  • Amazon
  • IBM
  • Intel
  • Microsoft
  • MORE
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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FEATURED COMPANIES

  • Airbus
  • Amazon
  • IBM
  • Intel
  • Microsoft
  • MORE
The author of the report recognizes the following companies as the key players in the global artificial intelligence in aviation market: Airbus, Amazon, IBM, Intel, and Microsoft.

Commenting on the report, an analyst from the research team said: “One trend in the market is emergence of smart airports. Over the last two decades, the business model and airport operations of the airlines have witnessed a drastic change in accordance with the exponential growth of the global aviation industry. Therefore, both the airport authorities and airlines have been looking for an alternative approach to manage the complex ecosystem of aviation operations.”

According to the report, one driver in the market is 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

Further, the report states that one challenge in the market is 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.

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market and vendor landscape in addition to a SWOT analysis of the key vendors.
Note: Product cover images may vary from those shown
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  • Airbus
  • Amazon
  • IBM
  • Intel
  • Microsoft
Note: Product cover images may vary from those shown
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