空港ロボットの世界市場規模調査＆予測、エンドユーザー別、用途別、タイプ別、地域別分析、2022-2029年

世界の空港ロボット市場は、2021年に約17億2,550万米ドルと評価され、予測期間2022-2029年には2.89 %以上の成長率で堅調に成長すると予測されます。

空港のように旅客数が多い施設では、空港ロボットがより多くの利便性を提供します。迅速なチェックイン、旅行者を適切なターミナルに誘導、荷物に関するトラブルの解決、除菌、清潔、セキュリティチェックなどの作業をサポートします。AIを活用したロボットは、空港でのチェックインから航空ターミナルでのチェックアウトまで、手荷物処理のプロセスを合理化します。

国際民間航空機関（ICAO）の全世界の年間データによると、定期便で運ばれた乗客数は2019年に43億8,000万人に達し、前年比3.65％増となりました。アジア太平洋の旅客数が最も多くなると予測されています。国際航空運送協会（IATA）は2018年10月、2037年までに世界の旅客数が82億人になるかもしれないと発表しました。最近でも、2021年5月に国際航空運送協会（IATA）が、世界の旅客数は2022年にCOVID-19以前の88%にほぼ回復し、2023年にはこのレベルを超えると予測されると言及しましたが、COVID-19パンデミックは航空交通数の激しい減少を引き起こしたのです。これは、世界的に航空便のニーズが高いことを示しています。ロボットは乗客の荷物を運ぶことができ、人間が手作業で荷物を台車に乗せて運ぶ必要がなくなります。センサーが搭載されているため、ロボットは乗客と一緒に移動することができ、乗客の負担を軽減することができます。また、ロボットが荷物のRFID（Radio-Frequency Identification）タグをスキャンし、そのデータを目的地の空港にいるロボットに送信することで、荷物の処理を簡素化することができます。このような利点から、他の交通手段よりも航空便を選択する旅行者が増えることが予想され、予想される期間中、空港ロボットのニーズが高まると考えられます。航空機は、誘導路から空港へ、あるいは空港から誘導路へ、あらかじめ決められたコースに沿って移動する必要があります。2つの場所の距離は短いもの、燃料を多く使用する必要があるため、アエロプランの運用コストは高くなります。航空会社は、タクシーボートを利用することで、燃料使用量を大幅に削減することができます。しかし、空港ロボットのコストが高いため、2022-2029年の予測期間を通じて市場の成長が阻害されます。

空港ロボットの世界市場調査において考慮された主要地域は、アジア太平洋地域、北米、欧州、中南米、その他世界のその他の地域です。アジア太平洋は収益面で市場を独占しており、また最も急速に成長している地域でもあります。IATA（国際航空運送協会）によると、2020年半ばまでに、中国は米国を抜いて世界最大の航空市場になると予想されています。

本調査の目的は、近年のさまざまなセグメント＆国の市場規模を定義し、今後数年間の値を予測することです。本レポートは、調査対象国において、業界の質的・量的な側面を取り入れるよう設計されています。

また、市場の将来的な成長を規定する促進要因や課題など、重要な側面に関する詳細情報も提供しています。さらに、主要企業の競合情勢や製品提供の詳細な分析とともに、利害関係者が投資するためのミクロ市場での潜在的な機会も組み込んでいます。

目次

第1章 エグゼクティブサマリー

• マーケットスナップショット
• 世界およびセグメント別市場の推定・予測、2019年～2029年
  • 空港ロボット市場、地域別、2019-2029年
  • 空港ロボット市場、エンドユーザー別、2019-2029年
  • 空港ロボット市場、用途別、2019-2029年
  • 空港ロボット市場、タイプ別、2019-2029年
• 主な動向
• 調査手法
• 調査の前提条件

第2章 空港ロボットの世界市場の定義と範囲

• 調査目的
• 市場の定義と範囲
  • 調査対象範囲
  • 産業の進化
• 本調査の対象となった年
• 通貨換算レート

第3章 世界の空港ロボット市場力学

• 空港ロボット市場のインパクト分析（2019-2029年）
  • 市場促進要因
    • 世界の航空旅客数の増加
    • チェックインの迅速化、手荷物の取り扱いの簡便化などのメリット
  • 市場の課題
    • 空港ロボットの高コスト
  • 市場機会
    • タクシーボットの利用率の上昇
    • 国家安全保障に対する現実の脅威と認識される脅威の増加

第4章 世界の空港ロボット市場：産業分析

• ポーターの5フォースモデル
  • 供給企業の交渉力
  • 買い手の交渉力
  • 新規参入業者の脅威
  • 代替品の脅威
  • 競争企業間の敵対関係
• ポーターの5フォースモデルへの未来的アプローチ（2019-2029年）
• PEST分析
  • 政治的
  • 経済的
  • ソーシャル
  • テクニカル
• 投資採用モデル
• アナリストの提言と結論
• 主な投資機会
• 主要成功戦略

第5章 リスク評価：COVID-19の影響

• COVID-19が業界に与える全体的な影響についての評価
• COVID-19以前とCOVID-19以後の市場シナリオ

第6章 空港ロボットの世界市場：エンドユーザー別

• マーケットスナップショット
• 空港ロボットの世界市場：エンドユーザー別、性能別 -ポテンシャル分析
• 空港ロボットの世界市場エンドユーザー別推定・予測2019-2029
• 空港ロボット市場、サブセグメント分析
  • 空港のセキュリティ
  • 搭乗券のスキャン
  • 空港手荷物システム
  • 旅客案内
  • その他

第7章 空港ロボットの世界市場：用途別

• マーケットスナップショット
• 空港ロボットの世界市場：用途別、性能別、ポテンシャル分析
• 空港ロボットの世界市場：推定・予測（用途別） 2019-2029
• 空港ロボット市場、サブセグメント分析
  • ランドサイド
  • ターミナル

第8章 空港ロボットの世界市場：タイプ別

• マーケットスナップショット
• 空港ロボットの世界市場：タイプ別、性能別、潜在能力分析
• 空港ロボットの世界市場：タイプ別推定・予測2019-2029
• 空港ロボット市場、サブセグメント分析
  • ヒューマノイド
  • ノンヒューマノイド

第9章 空港ロボットの世界市場：地域別分析

• 空港ロボット市場、地域別市場スナップショット
• 北米
  • 米国
    • エンドユーザー別の推定・予測、2019年～2029年
    • 用途別の推定・予測、2019年～2029年
    • タイプ別の推定・予測、2019年～2029年
  • カナダ
• 欧州の空港ロボット市場スナップショット
  • 英国
  • ドイツ
  • フランス
  • スペイン
  • イタリア
  • その他欧州
• アジア太平洋の空港ロボット市場スナップショット
  • 中国
  • インド
  • 日本
  • オーストラリア
  • 韓国
  • その他アジア太平洋地域
• ラテンアメリカの空港ロボット市場スナップショット
  • ブラジル
  • メキシコ
• 世界のその他の地域

第10章 競合情報

• 主要市場戦略
• 企業プロファイル
  • LG Electronics Inc.
    • 主要な情報
    • 概要
    • 財務（データの入手が可能な場合のみ）
    • 製品概要
    • 最近の動向
  • Stanley Robotics
  • Cyberdyne Inc.
  • SoftBank Corp.
  • ABB Ltd
  • UVD Robots
  • YUJIN Robot Co., Ltd.
  • Avidbots Corp.
  • Cyberdyne Inc.
  • ECA Group

第11章 調査プロセス

• 調査プロセス
  • データマイニング
  • 分析
  • 市場推定
  • バリデーション
  • 出版
• 調査の特徴
• 調査の前提条件

LIST OF TABLES

• TABLE 1. Global Airport Robots Market, report scope
• TABLE 2. Global Airport Robots Market estimates & forecasts by Region 2019-2029 (USD Million)
• TABLE 3. Global Airport Robots Market estimates & forecasts by End-user 2019-2029 (USD Million)
• TABLE 4. Global Airport Robots Market estimates & forecasts by Application 2019-2029 (USD Million)
• TABLE 1. Global Airport Robots Market estimates & forecasts by Type 2019-2029 (USD Million)
• TABLE 2. Global Airport Robots Market by segment, estimates & forecasts, 2019-2029 (USD Million)
• TABLE 3. Global Airport Robots Market by region, estimates & forecasts, 2019-2029 (USD Million)
• TABLE 4. Global Airport Robots Market by segment, estimates & forecasts, 2019-2029 (USD Million)
• TABLE 5. Global Airport Robots Market by region, estimates & forecasts, 2019-2029 (USD Million)
• TABLE 6. Global Airport Robots Market by segment, estimates & forecasts, 2019-2029 (USD Million)
• TABLE 7. Global Airport Robots Market by region, estimates & forecasts, 2019-2029 (USD Million)
• TABLE 8. Global Airport Robots Market by segment, estimates & forecasts, 2019-2029 (USD Million)
• TABLE 9. Global Airport Robots Market by region, estimates & forecasts, 2019-2029 (USD Million)
• TABLE 10. Global Airport Robots Market by segment, estimates & forecasts, 2019-2029 (USD Million)
• TABLE 11. Global Airport Robots Market by region, estimates & forecasts, 2019-2029 (USD Million)
• TABLE 12. U.S. Airport Robots Market estimates & forecasts, 2019-2029 (USD Million)
• TABLE 13. U.S. Airport Robots Market estimates & forecasts by segment 2019-2029 (USD Million)
• TABLE 14. U.S. Airport Robots Market estimates & forecasts by segment 2019-2029 (USD Million)
• TABLE 15. Canada Airport Robots Market estimates & forecasts, 2019-2029 (USD Million)
• TABLE 16. Canada Airport Robots Market estimates & forecasts by segment 2019-2029 (USD Million)
• TABLE 17. Canada Airport Robots Market estimates & forecasts by segment 2019-2029 (USD Million)
• TABLE 18. UK Airport Robots Market estimates & forecasts, 2019-2029 (USD Million)
• TABLE 19. UK Airport Robots Market estimates & forecasts by segment 2019-2029 (USD Million)
• TABLE 20. UK Airport Robots Market estimates & forecasts by segment 2019-2029 (USD Million)
• TABLE 21. Germany Airport Robots Market estimates & forecasts, 2019-2029 (USD Million)
• TABLE 22. Germany Airport Robots Market estimates & forecasts by segment 2019-2029 (USD Million)
• TABLE 23. Germany Airport Robots Market estimates & forecasts by segment 2019-2029 (USD Million)
• TABLE 24. France Airport Robots Market estimates & forecasts, 2019-2029 (USD Million)
• TABLE 25. France Airport Robots Market estimates & forecasts by segment 2019-2029 (USD Million)
• TABLE 26. France Airport Robots Market estimates & forecasts by segment 2019-2029 (USD Million)
• TABLE 27. Italy Airport Robots Market estimates & forecasts, 2019-2029 (USD Million)
• TABLE 28. Italy Airport Robots Market estimates & forecasts by segment 2019-2029 (USD Million)
• TABLE 29. Italy Airport Robots Market estimates & forecasts by segment 2019-2029 (USD Million)
• TABLE 30. Spain Airport Robots Market estimates & forecasts, 2019-2029 (USD Million)
• TABLE 31. Spain Airport Robots Market estimates & forecasts by segment 2019-2029 (USD Million)
• TABLE 32. Spain Airport Robots Market estimates & forecasts by segment 2019-2029 (USD Million)
• TABLE 33. RoE Airport Robots Market estimates & forecasts, 2019-2029 (USD Million)
• TABLE 34. RoE Airport Robots Market estimates & forecasts by segment 2019-2029 (USD Million)
• TABLE 35. RoE Airport Robots Market estimates & forecasts by segment 2019-2029 (USD Million)
• TABLE 36. China Airport Robots Market estimates & forecasts, 2019-2029 (USD Million)
• TABLE 37. China Airport Robots Market estimates & forecasts by segment 2019-2029 (USD Million)
• TABLE 38. China Airport Robots Market estimates & forecasts by segment 2019-2029 (USD Million)
• TABLE 39. India Airport Robots Market estimates & forecasts, 2019-2029 (USD Million)
• TABLE 40. India Airport Robots Market estimates & forecasts by segment 2019-2029 (USD Million)
• TABLE 41. India Airport Robots Market estimates & forecasts by segment 2019-2029 (USD Million)
• TABLE 42. Japan Airport Robots Market estimates & forecasts, 2019-2029 (USD Million)
• TABLE 43. Japan Airport Robots Market estimates & forecasts by segment 2019-2029 (USD Million)
• TABLE 44. Japan Airport Robots Market estimates & forecasts by segment 2019-2029 (USD Million)
• TABLE 45. South Korea Airport Robots Market estimates & forecasts, 2019-2029 (USD Million)
• TABLE 46. South Korea Airport Robots Market estimates & forecasts by segment 2019-2029 (USD Million)
• TABLE 47. South Korea Airport Robots Market estimates & forecasts by segment 2019-2029 (USD Million)
• TABLE 48. Australia Airport Robots Market estimates & forecasts, 2019-2029 (USD Million)
• TABLE 49. Australia Airport Robots Market estimates & forecasts by segment 2019-2029 (USD Million)
• TABLE 50. Australia Airport Robots Market estimates & forecasts by segment 2019-2029 (USD Million)
• TABLE 51. RoAPAC Airport Robots Market estimates & forecasts, 2019-2029 (USD Million)
• TABLE 52. RoAPAC Airport Robots Market estimates & forecasts by segment 2019-2029 (USD Million)
• TABLE 53. RoAPAC Airport Robots Market estimates & forecasts by segment 2019-2029 (USD Million)
• TABLE 54. Brazil Airport Robots Market estimates & forecasts, 2019-2029 (USD Million)
• TABLE 55. Brazil Airport Robots Market estimates & forecasts by segment 2019-2029 (USD Million)
• TABLE 56. Brazil Airport Robots Market estimates & forecasts by segment 2019-2029 (USD Million)
• TABLE 57. Mexico Airport Robots Market estimates & forecasts, 2019-2029 (USD Million)
• TABLE 58. Mexico Airport Robots Market estimates & forecasts by segment 2019-2029 (USD Million)
• TABLE 59. Mexico Airport Robots Market estimates & forecasts by segment 2019-2029 (USD Million)
• TABLE 60. RoLA Airport Robots Market estimates & forecasts, 2019-2029 (USD Million)
• TABLE 61. RoLA Airport Robots Market estimates & forecasts by segment 2019-2029 (USD Million)
• TABLE 62. RoLA Airport Robots Market estimates & forecasts by segment 2019-2029 (USD Million)
• TABLE 63. Row Airport Robots Market estimates & forecasts, 2019-2029 (USD Million)
• TABLE 64. Row Airport Robots Market estimates & forecasts by segment 2019-2029 (USD Million)
• TABLE 65. Row Airport Robots Market estimates & forecasts by segment 2019-2029 (USD Million)
• TABLE 66. List of secondary sources, used in the study of global Airport Robots Market
• TABLE 67. List of primary sources, used in the study of global Airport Robots Market
• TABLE 68. Years considered for the study
• TABLE 69. Exchange rates considered

List of tables and figures and dummy in nature, final lists may vary in the final deliverable

LIST OF FIGURES

List of figures

• FIG 1. Global Airport Robots Market, research methodology
• FIG 2. Global Airport Robots Market, Market estimation techniques
• FIG 3. Global Market size estimates & forecast methods
• FIG 4. Global Airport Robots Market, key trends 2021
• FIG 5. Global Airport Robots Market, growth prospects 2022-2029
• FIG 6. Global Airport Robots Market, porters 5 force model
• FIG 7. Global Airport Robots Market, pest analysis
• FIG 8. Global Airport Robots Market, value chain analysis
• FIG 9. Global Airport Robots Market by segment, 2019 & 2029 (USD Million)
• FIG 10. Global Airport Robots Market by segment, 2019 & 2029 (USD Million)
• FIG 11. Global Airport Robots Market by segment, 2019 & 2029 (USD Million)
• FIG 12. Global Airport Robots Market by segment, 2019 & 2029 (USD Million)
• FIG 13. Global Airport Robots Market by segment, 2019 & 2029 (USD Million)
• FIG 14. Global Airport Robots Market, regional snapshot 2019 & 2029
• FIG 15. North America Airport Robots Market 2019 & 2029 (USD Million)
• FIG 16. Europe Airport Robots Market 2019 & 2029 (USD Million)
• FIG 17. Asia pacific Airport Robots Market 2019 & 2029 (USD Million)
• FIG 18. Latin America Airport Robots Market 2019 & 2029 (USD Million)
• FIG 19. Global Airport Robots Market, company Market share analysis (2021)

List of tables and figures and dummy in nature, final lists may vary in the final deliverable

Global Airport Robots Market is valued at approximately USD 1725.5 million in 2021 and is anticipated to grow with a healthy growth rate of more than 2.89 % over the forecast period 2022-2029. In facilities with significant passenger traffic, like airports, airport robots provide more convenience. They can assist with quick check-ins, directing travelers to the appropriate terminals, resolving luggage-related difficulties, sanitizing, cleanliness, security checks, and other tasks. Robots driven by AI streamline the baggage handling process from check-in at the source airport through check-out at the air terminal.

The overall number of passengers carried on scheduled flights reached 4.38 billion in 2019, up 3.65% from the previous year, according to the International Civil Aviation Organization's (ICAO) yearly data for the whole globe. Asia-Pacific is predicted to have the most passenger volume. The International Air Transport Association (IATA) announced in October 2018 that by 2037, there might be 8.2 billion passengers worldwide. Even though lately, in May 2021, the International Air Transport Association (IATA) mentioned that the global passenger numbers is predicted to recoup almost to 88% of pre-COVID-19 levels during 2022, and is projected to surpass this level during 2023, the COVID-19 pandemic caused a severe decline in air traffic figures. This indicates a significant need for air travel globally. Robots can transport passenger luggage, eliminating the need for humans to manually carry their luggage on trolleys. Due to incorporated sensors, the robot may move alongside the passenger, reducing their burden. Robots may then scan the bags' radio-frequency identification (RFID) tags and transmit the data to robots at the destination airport, simplifying the processing of luggage. As travelers value comfort when flying, these advantages are anticipated to increase the number of travelers choosing airline travel over other modes, which will raise the need for airport robots throughout the anticipated period. Aircraft must move from the taxiway to the airport and vice versa in accordance with their predetermined course. Despite the short distances between the two locations, it increases the cost of operating an Aeroplan since more fuel must be used. Airlines may significantly cut their fuel usage by utilizing taxi boats. However, the high cost of Airport Robots stifles market growth throughout the forecast period of 2022-2029.

The key regions considered for the Global Airport Robots Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. Asia pacific dominated the market in terms of revenue and it is also the fastest-growing region. By the middle of 2020, China is expected to overtake the United States as the world's largest aviation market, according to the IATA (International Air Transport Association).

Major market players included in this report are:

• LG Electronics Inc.
• Stanley Robotics
• Cyberdyne Inc.
• SoftBank Corp.
• ABB Ltd
• UVD Robots
• YUJIN Robot Co., Ltd.
• Avidbots Corp.
• Cyberdyne Inc.
• ECA Group

Recent Developments in the Market:

• In October 2021, Secom Robot X2, an independent patrolling robot, has been placed in the Main terminal of Kansai International Airport (KIX) as well as the airport's train station, according to a statement from Kansai Airports. The brand-new security robot can independently travel patrol routes while keeping an eye on various airport locations to use a laser sensor to determine its location.
• In July 2021 Avidbots Neo floor robot cleaners were used by Singapore Changi Airport to increase the efficiency of their cleaning crews and cut expenses. The Avidbots Neo is a specially designed floor-scrubbing robot with sophisticated hardware, navigational technology, sensors, and software.

Global Airport Robots Market Report Scope:

• Historical Data: 2019-2020-2021

• Base Year for Estimation: 2021

• Forecast period: 2022-2029

• Report Coverage: Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends

• Segments Covered: End-User, Type, Application, Region

• Regional Scope: North America; Europe; Asia Pacific; Latin America; Rest of the World

• Customization Scope: Free report customization (equivalent up to 8 analyst's working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below.

By End-Users:

• Airport Security
• Boarding Pass Scanning
• Airport Baggage System
• Passenger Guidance
• Others

By Application:

• Landside
• Terminal

By Type:

• Humanoid
• Non-Humanoid

By Region:

• North America
• U.S.
• Canada
• Europe
• UK
• Germany
• France
• Spain
• Italy
• ROE
• Asia Pacific
• China
• India
• Japan
• Australia
• South Korea
• RoAPAC
• Latin America
• Brazil
• Mexico
• Rest of the World

Table of Contents

Chapter 1. Executive Summary

• 1.1. Market Snapshot
• 1.2. Global & Segmental Market Estimates & Forecasts, 2019-2029 (USD Million)
  • 1.2.1. Airport Robots Market, by Region, 2019-2029 (USD Million)
  • 1.2.2. Airport Robots Market, by End-user, 2019-2029 (USD Million)
  • 1.2.3. Airport Robots Market, by Application, 2019-2029 (USD Million)
  • 1.2.4. Airport Robots Market, by Type, 2019-2029 (USD Million)
• 1.3. Key Trends
• 1.4. Estimation Methodology
• 1.5. Research Assumption

Chapter 2. Global Airport Robots Market Definition and Scope

• 2.1. Objective of the Study
• 2.2. Market Definition & Scope
  • 2.2.1. Scope of the Study
  • 2.2.2. Industry Evolution
• 2.3. Years Considered for the Study
• 2.4. Currency Conversion Rates

Chapter 3. Global Airport Robots Market Dynamics

• 3.1. Airport Robots Market Impact Analysis (2019-2029)
  • 3.1.1. Market Drivers
    • 3.1.1.1. Increase in air passenger traffic across the globe
    • 3.1.1.2. Benefits such as faster check-ins and easier baggage handling
  • 3.1.2. Market Challenges
    • 3.1.2.1. High Cost of airport robots
  • 3.1.3. Market Opportunities
    • 3.1.3.1. Rise in the usage of taxi bots
    • 3.1.3.2. Rise in real and perceived threats to the national security

Chapter 4. Global Airport Robots Market Industry Analysis

• 4.1. Porter's 5 Force Model
  • 4.1.1. Bargaining Power of Suppliers
  • 4.1.2. Bargaining Power of Buyers
  • 4.1.3. Threat of New Entrants
  • 4.1.4. Threat of Substitutes
  • 4.1.5. Competitive Rivalry
• 4.2. Futuristic Approach to Porter's 5 Force Model (2019-2029)
• 4.3. PEST Analysis
  • 4.3.1. Political
  • 4.3.2. Economical
  • 4.3.3. Social
  • 4.3.4. Technological
• 4.4. Investment Adoption Model
• 4.5. Analyst Recommendation & Conclusion
• 4.6. Top investment opportunity
• 4.7. Top winning strategies

Chapter 5. Risk Assessment: COVID-19 Impact

• 5.1. Assessment of the overall impact of COVID-19 on the industry
• 5.2. Pre COVID-19 and post COVID-19 Market scenario

Chapter 6. Global Airport Robots Market, by End-user

• 6.1. Market Snapshot
• 6.2. Global Airport Robots Market by End-user, Performance - Potential Analysis
• 6.3. Global Airport Robots Market Estimates & Forecasts by End-user 2019-2029 (USD Million)
• 6.4. Airport Robots Market, Sub Segment Analysis
  • 6.4.1. Airport Security
  • 6.4.2. Boarding Pass Scanning
  • 6.4.3. Airport Baggage System
  • 6.4.4. Passenger Guidance
  • 6.4.5. Others

Chapter 7. Global Airport Robots Market, by Application

• 7.1. Market Snapshot
• 7.2. Global Airport Robots Market by Application, Performance - Potential Analysis
• 7.3. Global Airport Robots Market Estimates & Forecasts by Application 2019-2029 (USD Million)
• 7.4. Airport Robots Market, Sub Segment Analysis
  • 7.4.1. Landside
  • 7.4.2. Terminal

Chapter 8. Global Airport Robots Market, by Type

• 8.1. Market Snapshot
• 8.2. Global Airport Robots Market by Type, Performance - Potential Analysis
• 8.3. Global Airport Robots Market Estimates & Forecasts by Type 2019-2029 (USD Million)
• 8.4. Airport Robots Market, Sub Segment Analysis
  • 8.4.1. Humanoid
  • 8.4.2. Non-Humanoid

Chapter 9. Global Airport Robots Market, Regional Analysis

• 9.1. Airport Robots Market, Regional Market Snapshot
• 9.2. North America Airport Robots Market
  • 9.2.1. U.S. Airport Robots Market
    • 9.2.1.1. End-user breakdown estimates & forecasts, 2019-2029
    • 9.2.1.2. Application breakdown estimates & forecasts, 2019-2029
    • 9.2.1.3. Type breakdown estimates & forecasts, 2019-2029
  • 9.2.2. Canada Airport Robots Market
• 9.3. Europe Airport Robots Market Snapshot
  • 9.3.1. U.K. Airport Robots Market
  • 9.3.2. Germany Airport Robots Market
  • 9.3.3. France Airport Robots Market
  • 9.3.4. Spain Airport Robots Market
  • 9.3.5. Italy Airport Robots Market
  • 9.3.6. Rest of Europe Airport Robots Market
• 9.4. Asia-Pacific Airport Robots Market Snapshot
  • 9.4.1. China Airport Robots Market
  • 9.4.2. India Airport Robots Market
  • 9.4.3. Japan Airport Robots Market
  • 9.4.4. Australia Airport Robots Market
  • 9.4.5. South Korea Airport Robots Market
  • 9.4.6. Rest of Asia Pacific Airport Robots Market
• 9.5. Latin America Airport Robots Market Snapshot
  • 9.5.1. Brazil Airport Robots Market
  • 9.5.2. Mexico Airport Robots Market
• 9.6. Rest of The World Airport Robots Market

Chapter 10. Competitive Intelligence

• 10.1. Top Market Strategies
• 10.2. Company Profiles
  • 10.2.1. LG Electronics Inc.
    • 10.2.1.1. Key Information
    • 10.2.1.2. Overview
    • 10.2.1.3. Financial (Subject to Data Availability)
    • 10.2.1.4. Product Summary
    • 10.2.1.5. Recent Developments
  • 10.2.2. Stanley Robotics
  • 10.2.3. Cyberdyne Inc.
  • 10.2.4. SoftBank Corp.
  • 10.2.5. ABB Ltd
  • 10.2.6. UVD Robots
  • 10.2.7. YUJIN Robot Co., Ltd.
  • 10.2.8. Avidbots Corp.
  • 10.2.9. Cyberdyne Inc.
  • 10.2.10. ECA Group

Chapter 11. Research Process

• 11.1. Research Process
  • 11.1.1. Data Mining
  • 11.1.2. Analysis
  • 11.1.3. Market Estimation
  • 11.1.4. Validation
  • 11.1.5. Publishing
• 11.2. Research Attributes
• 11.3. Research Assumption