Global Artificial Intelligence in Aviation Market 2018-2022

航空分野向け人工知能(AI)の世界市場2018-2022

◆タイトル:Global Artificial Intelligence in Aviation Market 2018-2022
◆商品コード:IRTNTR23448
◆調査・発行会社:Technavio (Infiniti Research Ltd.)
◆発行日:2018年11月14日
◆ページ数:108
◆資料形式:PDF / 英語
◆納品方法:Eメール(受注後24時間以内)
◆調査対象地域:グローバル、アジア、北米、ヨーロッパ(EMEA)
◆産業分野:航空宇宙・防衛
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【資料の概要】

ビッグデータは、コスト効率の高い製品設計、より効率的な製造と運用を可能にすることにより、航空市場にプラスの影響を与えると期待されています。航空機の構造健全性監視を行うため、ビッグデータの導入が増加しています。
航空機構造物および内部部品の様々な部分に配置されたセンサーを介して、構造内に発生した応力および歪みが故障の発生前に検出されます。例えば、航空機では、着陸時に部品を交換する必要がある場合、すぐに交換する準備を乗務員にさせておくために、システムはメッセージを介して乗務員に事前に通知し、それによりターンアラウンドタイムを最小化することができます。

主な分析対象企業は、Airbus、Amazon、IBM、Intel、Microsoftなどです。

当調査レポートでは、航空分野向け人工知能(AI)の世界市場について調査・分析し、市場概要、市場環境、航空分野向け人工知能(AI)市場規模、用途別(航空会社・空港運営、製造・MRO(保守・修理・点検)活動)分析、市場動向、競争環境、主要地域別市場規模(北米、ヨーロッパ、アジアなど)、関連企業情報などを含め、以下の構成でお届け致します。

・エグゼクティブサマリー
・調査範囲・調査手法
・航空分野向け人工知能(AI)の世界市場概要
・航空分野向け人工知能(AI)の世界市場環境
・航空分野向け人工知能(AI)の世界市場動向
・航空分野向け人工知能(AI)の世界市場規模
・航空分野向け人工知能(AI)の世界市場:業界構造分析
・航空分野向け人工知能(AI)の世界市場:用途別(航空会社・空港運営、製造・MRO(保守・修理・点検)活動)
・航空分野向け人工知能(AI)の世界市場:地域別市場規模・分析
・航空分野向け人工知能(AI)の北米市場規模・予測
・航空分野向け人工知能(AI)のヨーロッパ・中東・アフリカ市場規模・予測
・航空分野向け人工知能(AI)のアジア太平洋市場規模・予測
・航空分野向け人工知能(AI)の主要国分析
・航空分野向け人工知能(AI)の世界市場:意思決定フレームワーク
・航空分野向け人工知能(AI)の世界市場:成長要因、課題
・航空分野向け人工知能(AI)の世界市場:競争環境
・航空分野向け人工知能(AI)の世界市場:関連企業情報(ベンダー分析)

106 pages, November 2018
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.

【資料の目次】

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

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



【掲載企業】

Airbus、Amazon、IBM、Intel、Microsoft

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