Asia Pacific Artificial Intelligence in Aviation Market Report

Asia Pacific Artificial Intelligence in Aviation Market by Offering, by Technology, by Application, Region, Trends, Competitive Analysis, and Growth Opportunities, Key Insights.
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Executive Summary

Asia-Pacific Artificial Intelligence in Aviation Market from Consainsights analyses the Asia-Pacific Artificial Intelligence in Aviation Market in the Technology & Media industry over the forecast period to 2026.

Asia-Pacific Artificial Intelligence in Aviation research report from Consainsights outlines the detailed strategic analysis, trends, market opportunities, growth prospects, industry and market challenges and sustainable solutions to sustain in the competitive environment.

Asia-Pacific Artificial Intelligence in Aviation segmentation includes Offering, Technology, Application and Geography.

Market analysis on the basis of Offering include Software, Hardware, Services. This segmentation encompasses the key innovations and micro & macro trends, companies/manufacturers operating in this space along with their usage and penetration with respect to the wide range of End Users. Additionally, market sizing information along with the key factors such as market drivers, restraints, opportunities and challenges which are likely to be influencing the market growth are outlined in this report.

Based on the Technology, the Asia-Pacific Artificial Intelligence in Aviation Market analysis covers Machine Learning, Natural Language Processing (Nlp), Context Awareness Computing, Computer Vision.

Based on the Application, the Asia-Pacific Artificial Intelligence in Aviation Market analysis covers Smart Maintenance, Flight Operations, Training, Surveillance, Virtual Assistants, Dynamic Pricing, Manufacturing, Others.

Key companies operating in the market include Nvidia, Intel, Xilinx, Samsung Electronics, Micron, IBM, Microsoft and so on. This report covers the detailed analysis of the company profiles such as business segments, product portfolio, key brand insights and growth strategies adopted, company SWOT and Strategy analysis along with the financial analysis and analyst insights on the key companies operating in this market.

Moreover, the competitive analysis includes the companies deals such as Mergers, Acquisitions, Partnerships and so on along with the expansion areas focusing on the additional geographies, future insights for success and market share analysis. Major players strategies include the launch of the innovative product lines along with the emphasis on the partnerships and acquisitions to standardize their market share in the market space.

Market Research methodology includes the triangulation of the data from the data sources such as Primary Market Research approach and Secondary Market Research Approach along with the data from the trade bodies and industry standard publications and data sources. Primary inputs from the industry experts and the market respondents from the respective industries to obtain very critical information to assess the future growth prospects of the market. The final data is triangulated and thoroughly validated considering all the data sources using the bottom-up and the top-down approaches to estimate the market sizing of the individual segments.

Report Metric

Details

Market size available for years

2017-2026

Base year considered

2020

Forecast period

2021-2026

Forecast units

Value (USD Billion)

Segments covered

Offering, Technology, Application

Countries covered

China, Japan, India, Southeast Asia, Australia & New Zealand, Rest of Asia-Pacific

Companies Covered

Nvidia, Intel, Xilinx, Samsung Electronics, Micron, IBM, Microsoft, Amazon, Airbus, Boeing, GE, Thales, Lockheed Martin, Garmin

The Asia-Pacific Artificial Intelligence in Aviation Market is segmented into the following categories:

Asia-Pacific Artificial Intelligence in Aviation Market by Offering:

    Asia-Pacific Artificial Intelligence in Aviation Market by Technology:

    • Natural Language Processing (Nlp)

    • Context Awareness Computing

    • Computer Vision

    Asia-Pacific Artificial Intelligence in Aviation Market by Application:

    • Smart Maintenance

    • Flight Operations

    • Training

    • Surveillance

    • Virtual Assistants

    • Dynamic Pricing

    • Others

    Table of Contents

    1. Executive Summary

    2. Asia-Pacific Artificial Intelligence in Aviation Market Overview

      1. Asia-Pacific Artificial Intelligence in Aviation Market Definition & Scope
      2. Currency, Year and Forecasts Overview
      3. Asia-Pacific Artificial Intelligence in Aviation Market 360° Synopsis: Overview
    3. Asia-Pacific Artificial Intelligence in Aviation Industry Analysis

      1. Industry Value Chain Analysis
      2. Key Companies at each phase of Value Chain
      3. Industry Trend Analysis
    4. Asia-Pacific Artificial Intelligence in Aviation Market Analysis

      1. Drives, Restraints, Opportunities and Challenges Impact Analysis
      2. Porter’s Five Force Model Analysis
      3. PESTLE Analysis
      4. BPS Analysis
      5. Asia-Pacific Artificial Intelligence in Aviation Market Key Innovation & Trends
      6. Pricing Patterns (Company & Product Type)
    5. Asia-Pacific Artificial Intelligence in Aviation Market: Offering

      1. Introduction
      2. Software: Market Trends, Size, and Forecast (2017-2026)

        1. AI Solutions
        2. AI Platforms
      3. Hardware: Market Trends, Size, and Forecast (2017-2026)

        1. Processors
        2. Memory
        3. Networks
      4. Services: Market Trends, Size, and Forecast (2017-2026)

        1. Deployment & Integration
        2. Support & Maintenance
    6. Asia-Pacific Artificial Intelligence in Aviation Market: Technology

      1. Introduction
      2. Machine Learning: Market Trends, Size, and Forecast (2017-2026)

        1. Deep Learning
        2. Supervised Learning
        3. Unsupervised Learning
        4. Reinforcement Learning
        5. Semi-Supervised Learning
      3. Natural Language Processing (Nlp): Market Trends, Size, and Forecast (2017-2026)
      4. Context Awareness Computing: Market Trends, Size, and Forecast (2017-2026)
      5. Computer Vision: Market Trends, Size, and Forecast (2017-2026)
    7. Asia-Pacific Artificial Intelligence in Aviation Market: Application

      1. Introduction
      2. Smart Maintenance: Market Trends, Size, and Forecast (2017-2026)
      3. Flight Operations: Market Trends, Size, and Forecast (2017-2026)
      4. Training: Market Trends, Size, and Forecast (2017-2026)
      5. Surveillance: Market Trends, Size, and Forecast (2017-2026)
      6. Virtual Assistants: Market Trends, Size, and Forecast (2017-2026)
      7. Dynamic Pricing: Market Trends, Size, and Forecast (2017-2026)
      8. Manufacturing: Market Trends, Size, and Forecast (2017-2026)

        1. Material Movement
        2. Predictive Maintenance and Machinery Inspection
        3. Production Planning
        4. Quality Control
        5. Reclamation
      9. Others: Market Trends, Size, and Forecast (2017-2026)
    8. Asia-Pacific Artificial Intelligence in Aviation Market: Country

      1. Introduction
      2. China: Market Trends, Size, and Forecast (2017-2026)
      3. Japan: Market Trends, Size, and Forecast (2017-2026)
      4. India: Market Trends, Size, and Forecast (2017-2026)
      5. Southeast Asia: Market Trends, Size, and Forecast (2017-2026)
      6. Australia & New Zealand: Market Trends, Size, and Forecast (2017-2026)
      7. Rest of Asia-Pacific: Market Trends, Size, and Forecast (2017-2026)
    9. Asia-Pacific Artificial Intelligence in Aviation Market: Company Analysis

      1. Introduction
      2. Nvidia

        1. Overview
        2. Business Portfolio
        3. Product Portfolio
        4. Key Brands Insights
        5. Company SWOT & Strategic Analysis
        6. Company Financials
        7. Analyst Insights
      3. Intel

      4. Xilinx

      5. Samsung Electronics

      6. Micron

      7. IBM

      8. Microsoft

      9. Amazon

      10. Airbus

      11. Boeing

      12. GE

      13. Thales

      14. Lockheed Martin

      15. Garmin

    10. Asia-Pacific Artificial Intelligence in Aviation Market: Competitive Analysis

      1. Strategic Dashboard of Top Market Players
      2. Companies Deals (Mergers, Partnerships, Acquisitions, JVs)
      3. Expansion Areas (Based on Company Analysis)
      4. Market Share Analysis
    11. Asia-Pacific Artificial Intelligence in Aviation Market: Distribution Channel Analysis

      1. Distributor Type Analysis
      2. Major Distributors (Key Countries)
      3. Future Growth Prospects
    12. Industry & Analysts Insights for Success

    13. Research Methodology

    14. Appendix

      1. List of Tables
      2. List of Figures
      3. Available Customizations
      4. Related Reports

    List of Figures

    Figure 1: Asia-Pacific Artificial Intelligence in Aviation Market: Structure

    Figure 2: Asia-Pacific Artificial Intelligence in Aviation Market: Value Chain Analysis

    Figure 3: Asia-Pacific Artificial Intelligence in Aviation Market: Porter's Five Forces Model

    Figure 4: Asia-Pacific Artificial Intelligence in Aviation Market: Market Dynamics

    Figure 5: Asia-Pacific Artificial Intelligence in Aviation Market, By Offering, 2017-2026 (USD Million)

    Figure 6: Asia-Pacific Artificial Intelligence in Aviation Market, By Technology, 2017-2026 (USD Million)

    Figure 7: Asia-Pacific Artificial Intelligence in Aviation Market, By Application, 2017-2026 (USD Million)

    Figure 8: China Artificial Intelligence in Aviation Market, By Offering, 2017-2026 (USD Million)

    Figure 9: China Artificial Intelligence in Aviation Market, By Technology, 2017-2026 (USD Million)

    Figure 10: China Artificial Intelligence in Aviation Market, By Application, 2017-2026 (USD Million)

    Figure 11: Japan Artificial Intelligence in Aviation Market, By Offering, 2017-2026 (USD Million)

    Figure 12: Japan Artificial Intelligence in Aviation Market, By Technology, 2017-2026 (USD Million)

    Figure 13: Japan Artificial Intelligence in Aviation Market, By Application, 2017-2026 (USD Million)

    Figure 14: India Artificial Intelligence in Aviation Market, By Offering, 2017-2026 (USD Million)

    Figure 15: India Artificial Intelligence in Aviation Market, By Technology, 2017-2026 (USD Million)

    Figure 16: India Artificial Intelligence in Aviation Market, By Application, 2017-2026 (USD Million)

    Figure 17: Southeast Asia Artificial Intelligence in Aviation Market, By Offering, 2017-2026 (USD Million)

    Figure 18: Southeast Asia Artificial Intelligence in Aviation Market, By Technology, 2017-2026 (USD Million)

    Figure 19: Southeast Asia Artificial Intelligence in Aviation Market, By Application, 2017-2026 (USD Million)

    Figure 20: Australia & New Zealand Artificial Intelligence in Aviation Market, By Offering, 2017-2026 (USD Million)

    Figure 21: Australia & New Zealand Artificial Intelligence in Aviation Market, By Technology, 2017-2026 (USD Million)

    Figure 22: Australia & New Zealand Artificial Intelligence in Aviation Market, By Application, 2017-2026 (USD Million)

    Figure 23: Rest of Asia-Pacific Artificial Intelligence in Aviation Market, By Offering, 2017-2026 (USD Million)

    Figure 24: Rest of Asia-Pacific Artificial Intelligence in Aviation Market, By Technology, 2017-2026 (USD Million)

    Figure 25: Rest of Asia-Pacific Artificial Intelligence in Aviation Market, By Application, 2017-2026 (USD Million)

    List of Tables

    Table 1: Asia-Pacific Artificial Intelligence in Aviation Market, By Offering, 2017-2026 (USD Million)

    Table 2: Asia-Pacific Artificial Intelligence in Aviation Market, By Technology, 2017-2026 (USD Million)

    Table 3: Asia-Pacific Artificial Intelligence in Aviation Market, By Application, 2017-2026 (USD Million)

    Table 4: China Artificial Intelligence in Aviation Market, By Offering, 2017-2026 (USD Million)

    Table 5: China Artificial Intelligence in Aviation Market, By Technology, 2017-2026 (USD Million)

    Table 6: China Artificial Intelligence in Aviation Market, By Application, 2017-2026 (USD Million)

    Table 7: Japan Artificial Intelligence in Aviation Market, By Offering, 2017-2026 (USD Million)

    Table 8: Japan Artificial Intelligence in Aviation Market, By Technology, 2017-2026 (USD Million)

    Table 9: Japan Artificial Intelligence in Aviation Market, By Application, 2017-2026 (USD Million)

    Table 10: India Artificial Intelligence in Aviation Market, By Offering, 2017-2026 (USD Million)

    Table 11: India Artificial Intelligence in Aviation Market, By Technology, 2017-2026 (USD Million)

    Table 12: India Artificial Intelligence in Aviation Market, By Application, 2017-2026 (USD Million)

    Table 13: Southeast Asia Artificial Intelligence in Aviation Market, By Offering, 2017-2026 (USD Million)

    Table 14: Southeast Asia Artificial Intelligence in Aviation Market, By Technology, 2017-2026 (USD Million)

    Table 15: Southeast Asia Artificial Intelligence in Aviation Market, By Application, 2017-2026 (USD Million)

    Table 16: Australia & New Zealand Artificial Intelligence in Aviation Market, By Offering, 2017-2026 (USD Million)

    Table 17: Australia & New Zealand Artificial Intelligence in Aviation Market, By Technology, 2017-2026 (USD Million)

    Table 18: Australia & New Zealand Artificial Intelligence in Aviation Market, By Application, 2017-2026 (USD Million)

    Table 19: Rest of Asia-Pacific Artificial Intelligence in Aviation Market, By Offering, 2017-2026 (USD Million)

    Table 20: Rest of Asia-Pacific Artificial Intelligence in Aviation Market, By Technology, 2017-2026 (USD Million)

    Table 21: Rest of Asia-Pacific Artificial Intelligence in Aviation Market, By Application, 2017-2026 (USD Million)

    Research Methodology

    Introduction

    This research study extensively involved secondary and primary data sources. Initially, all the important terms and processes related to the Asia Pacific Artificial Intelligence in Aviation market were identified. Then, each of these terms was clearly defined and relationships were established among them in the form of parent market, peer markets, and child markets. The entire value-chain was also studied to distinguish various solution and service providers that are operating in the global Asia Pacific Artificial Intelligence in Aviation market and how the services are being delivered or consumed in every phase of the value chain. The overall objective of this process was to identify the important segments of the Asia Pacific Artificial Intelligence in Aviation market that meet two important criteria– 1) their revenue is derivable using assumptions and expert opinions 2) their definitions are unique and non-overlapping.

    After defining the market segments, the supply side analysis was carried out where the individual players operating in various segments of the Asia Pacific Artificial Intelligence in Aviation market were identified and their revenues were analyzed to derive the segmental shares. The derived shares were also validated through an extensive demand side analysis. The below figure depicts different phases of the report production process.

    Phases of the report production process

    Secondary Research

    This research study was initiated with detailed study of information available in the public domain and paid databases. Various secondary sources that were referred during this study include company websites, product descriptions, whitepapers, survey papers, annual reports, investor presentations, press releases, blogs, news, journals, magazines; audit reports, articles published by associations, and paid databases, such as Factiva, D&B Hoovers, and Bloomberg BusinessWeek. The key objective behind secondary research was to obtain information regarding the market evolution, ecosystem, value-chain, total pool of solution and service providers, market segmentation, recent developments, upcoming opportunities and challenges, and various factors that are impacting the market. These data were further validated through primary research.

    Primary Research

    In primary research, various industry experts from both supply and demand side were interviewed to obtain critical information on competitive landscape, vendor shares, value-chain, pricing strategy, and adoption trends. The primary sources include industry experts, such as CXOs, Vice Presidents, Marketing Directors, Technology Directors, and Business Development Managers of companies that are operating in the global Asia Pacific Artificial Intelligence in Aviation market. Primary research was also conducted to validate the market segmentations, industry trends, market size, future prospects for market growth, and key strategies adopted by the major players to gain leading position in the market.

    Market Size Estimation And Forecasting

    This research study followed two approaches to estimate and forecast the size of global Asia Pacific Artificial Intelligence in Aviation market and its sub-segments– top-down and bottom-up approach. Important data those were used during this process include list of top players operating in the market, their share in the market, and total pool of solution and service providers. This entire process includes the study of annual and financial reports and extensive interview with industry experts across the value-chain. All important factors that are impacting the market were analyzed and verified through primary research. These data were consolidated and processed through an in-house developed market intelligence engine to derive the final quantitative data.

    Top-Down Approach

    The top-down approach was employed to derive the global Asia Pacific Artificial Intelligence in Aviation market size through vendor share analysis. More than 40 key players were analyzed and their total contribution in the global market size was found to be around 70%. Thus, remaining 30% was extrapolated to arrive at the global Asia Pacific Artificial Intelligence in Aviation market size. The regional and country level performance of these top players was also studied to derive the market share for different regions and countries.

    Phases of the report production process

    Bottom-Up Approach

    After the top-down approach, bottom-up approach was employed to derive the share and size for other market segments. Initially, the segmental shares were estimated at the country level. Then, the country- level market numbers were added to derive the regional sizes and finally, by adding the regional sizes, global sizes of all the market segments were calculated.

    Phases of the report production process

    List of Assumptions

    • Market Estimates and Forecasting: The market is estimated and forecasted in the realistic manner, instead of optimistic/aggressive way.
    • Currency: All the revenue-related market numbers are shown in globally accepted currency, USD.
    • Exchange Rates and Currency Conversion: For conversion of other currencies to USD, the average exchange rate for that particular year was used. OANDA website was used for all currency conversions in this market study.
    • Dollar Fluctuation: Dollar fluctuations are assumed to be moderate and will not affect the market forecasts during the forecast period.
    • Global Economic Conditions: The global economic conditions are assumed to be stable enabling the market to grow with similar rate as it’s been growing from last four years.
    • Qualitative to Quantitative Data Conversion: This market study extensively covers numerous factors that are impacting the global Asia Pacific Artificial Intelligence in Aviation market. In certain cases, direct quantitative data were not available to clearly indicate their influencing power on the market. To handle such cases, a rating mechanism was applied that was purely based on the understanding of the experts involved in the study.