Global Artificial Intelligence in Aviation Market 2018-2022

  • Published: Nov 2018
  • Pages: 106
  • SKU: IRTNTR23448
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The global artificial intelligence in aviation market size will grow by USD 756.71 million during 2018-2022. This industry research report provides a detailed analysis of the market based on application (airline and airport operations; and manufacturing and MRO activities) and geography (the Americas, APAC, and EMEA). The report analyzes the market’s competitive landscape and offers information on several artificial intelligence companies in aviation including Airbus, Amazon, IBM, Intel, and Microsoft.

Below are some of the key findings from this artificial intelligence in aviation market analysis report:

Artificial Intelligence in Aviation Market

 

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Global artificial intelligence in aviation industry overview

The application of big data is driving the global artificial intelligence in the aviation market. Big data is extensively used in the aviation industry because it helps in enabling the cost-efficient design of products. It also helps to ensure the implementation of efficient business decisions and internal operations. Moreover, big data analysis helps in achieving high efficiency during flight by adjusting the fuel consumption rate for a flying condition while reducing turbulence for a flight path with the help of multiple flight parameters that are recorded and transmitted during the flight. All these factors increase the demand for artificial intelligence in the aviation industry. AI  helps in better management of big data analysis by stimulating the human cognitive processes with the help of machines through learning, reasoning, and self-correction programs incorporated as their sub-routine.

The emergence of smart airport is positively impacting the global artificial intelligence in the aviation market. Many countries increasingly adopt smart airports to manage the complex ecosystem of aviation operations and to create an infrastructure, where multiple stakeholders can share information quickly and seamlessly. Thus, the application of big data coupled with the emergence of smart airport is driving the artificial intelligence in aviation market growth at a CAGR of close to 38% during the forecast period.

Top artificial intelligence companies in aviation covered in this report

The global artificial intelligence in aviation market is moderately fragmented. By offering a complete analysis of the market’s competitive landscape and with information on the products offered by the companies, this artificial intelligence in aviation industry analysis report will aid clients to identify and design new growth strategies.

The report offers a detailed analysis of several leading artificial intelligence companies in aviation, including:

  • Airbus
  • Amazon
  • IBM
  • Intel
  • Microsoft

 Artificial intelligence in aviation market segmentation based on application

  • Airline and airport operations
  • Manufacturing and MRO activities

The largest application segment of the global artificial intelligence in aviation market in 2017 was airline and airport operations. The market share of this segment will increase further, and it will continue to dominate the market throughout the next five years.

Artificial intelligence in aviation market segmentation based on region

  • The Americas
  • APAC
  • EMEA

The Americas accounted for the largest artificial intelligence in aviation market share in 2017. This region will witness a decrease in its market share but will remain the market leader for the next five years.

Key highlights of the global artificial intelligence in aviation market for the forecast years 2018-2022:

  • CAGR of the market during the forecast period 2018-2022
  • Detailed information on factors that will accelerate the growth of the artificial intelligence in aviation market during the next five years
  • Precise estimation of the global artificial intelligence in aviation market size and its contribution to the parent market
  • Accurate predictions on upcoming trends and changes in consumer behavior
  • The growth of artificial intelligence in the aviation industry across the Americas, APAC, and EMEA
  • A thorough analysis of the market’s competitive landscape and detailed information on several vendors
  • Comprehensive details on factors that will challenge the growth of artificial intelligence companies in aviation

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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

PART 15: APPENDIX

  • List of abbreviations

Research Framework

Technavio presents a detailed picture of the market by way of study, synthesis, and summation of data from multiple sources. The analysts have presented the various facets of the market with a particular focus on identifying the key industry influencers. The data thus presented is comprehensive, reliable, and the result of extensive research, both primary and secondary.

TechnavioINFORMATION SOURCES

Primary sources

  • Manufacturers and suppliers
  • Channel partners
  • Industry experts
  • Strategic decision makers

Secondary sources

  • Industry journals and periodicals
  • Government data
  • Financial reports of key industry players
  • Historical data
  • Press releases
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TechnavioDATA ANALYSIS

Data Synthesis

  • Collation of data
  • Estimation of key figures
  • Analysis of derived insights

Data Validation

  • Triangulation with data models
  • Reference against proprietary databases
  • Corroboration with industry experts
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TechnavioREPORT WRITING

Qualitative

  • Market drivers
  • Market challenges
  • Market trends
  • Five forces analysis

Quantitative

  • Market size and forecast
  • Market segmentation
  • Geographical insights
  • Competitive landscape
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