Chapter 1. Research Scope
1.1. Research Objectives
1.2. Market Definition
1.3. Analysis Period
1.4. Market Size Breakdown by Segments
1.4.1. Market size breakdown, by offering
1.4.2. Market size breakdown, by technology
1.4.3. Market size breakdown, by vertical
1.4.4. Market size breakdown, by region
1.4.5. Market size breakdown, by country
1.5. Market Data Reporting Unit
1.5.1. Value
1.6. Key Stakeholders
Chapter 2. Research Methodology
2.1. Secondary Research
2.1.1. Paid
2.1.2. Unpaid
2.1.3. P&S Intelligence database
2.2. Primary Research
2.3. Market Size Estimation
2.4. Data Triangulation
2.5. Currency Conversion Rates
2.6. Assumptions for the Study
2.7. Notes and Caveats
Chapter 3. Executive Summary
Chapter 4. Voice of Industry Experts/KOLs
Chapter 5. Market Indicators
Chapter 6. Industry Outlook
6.1. Market Dynamics
6.1.1. Trends
6.1.2. Drivers
6.1.3. Restraints/challenges
6.1.4. Impact analysis of drivers/restraints
6.2. Impact of COVID-19
6.3. Porter’s Five Forces Analysis
6.3.1. Bargaining power of buyers
6.3.2. Bargaining power of suppliers
6.3.3. Threat of new entrants
6.3.4. Intensity of rivalry
6.3.5. Threat of substitutes
Chapter 7. Global Market
7.1. Overview
7.2. Market Revenue, by Offering (2017–2030)
7.3. Market Revenue, by Technology (2017–2030)
7.4. Market Revenue, by Vertical (2017–2030)
7.5. Market Revenue, by Region (2017–2030)
Chapter 8. North America Market
8.1. Overview
8.2. Market Revenue, by Offering (2017–2030)
8.3. Market Revenue, by Technology (2017–2030)
8.4. Market Revenue, by Vertical (2017–2030)
8.5. Market Revenue, by Country (2017–2030)
Chapter 9. Europe Market
9.1. Overview
9.2. Market Revenue, by Offering (2017–2030)
9.3. Market Revenue, by Technology (2017–2030)
9.4. Market Revenue, by Vertical (2017–2030)
9.5. Market Revenue, by Country (2017–2030)
Chapter 10. APAC Market
10.1. Overview
10.2. Market Revenue, by Offering (2017–2030)
10.3. Market Revenue, by Technology (2017–2030)
10.4. Market Revenue, by Vertical (2017–2030)
10.5. Market Revenue, by Country (2017–2030)
Chapter 11. LATAM Market
11.1. Overview
11.2. Market Revenue, by Offering (2017–2030)
11.3. Market Revenue, by Technology (2017–2030)
11.4. Market Revenue, by Vertical (2017–2030)
11.5. Market Revenue, by Country (2017–2030)
Chapter 12. MEA Market
12.1. Overview
12.2. Market Revenue, by Offering (2017–2030)
12.3. Market Revenue, by Technology (2017–2030)
12.4. Market Revenue, by Vertical (2017–2030)
12.5. Market Revenue, by Country (2017–2030)
Chapter 13. U.S. Market
13.1. Overview
13.2. Market Revenue, by Offering (2017–2030)
13.3. Market Revenue, by Technology (2017–2030)
13.4. Market Revenue, by Vertical (2017–2030)
Chapter 14. Canada Market
14.1. Overview
14.2. Market Revenue, by Offering (2017–2030)
14.3. Market Revenue, by Technology (2017–2030)
14.4. Market Revenue, by Vertical (2017–2030)
Chapter 15. Germany Market
15.1. Overview
15.2. Market Revenue, by Offering (2017–2030)
15.3. Market Revenue, by Technology (2017–2030)
15.4. Market Revenue, by Vertical (2017–2030)
Chapter 16. France Market
16.1. Overview
16.2. Market Revenue, by Offering (2017–2030)
16.3. Market Revenue, by Technology (2017–2030)
16.4. Market Revenue, by Vertical (2017–2030)
Chapter 17. U.K. Market
17.1. Overview
17.2. Market Revenue, by Offering (2017–2030)
17.3. Market Revenue, by Technology (2017–2030)
17.4. Market Revenue, by Vertical (2017–2030)
Chapter 18. Italy Market
18.1. Overview
18.2. Market Revenue, by Offering (2017–2030)
18.3. Market Revenue, by Technology (2017–2030)
18.4. Market Revenue, by Vertical (2017–2030)
Chapter 19. Spain Market
19.1. Overview
19.2. Market Revenue, by Offering (2017–2030)
19.3. Market Revenue, by Technology (2017–2030)
19.4. Market Revenue, by Vertical (2017–2030)
Chapter 20. Japan Market
20.1. Overview
20.2. Market Revenue, by Offering (2017–2030)
20.3. Market Revenue, by Technology (2017–2030)
20.4. Market Revenue, by Vertical (2017–2030)
Chapter 21. China Market
21.1. Overview
21.2. Market Revenue, by Offering (2017–2030)
21.3. Market Revenue, by Technology (2017–2030)
21.4. Market Revenue, by Vertical (2017–2030)
Chapter 22. India Market
22.1. Overview
22.2. Market Revenue, by Offering (2017–2030)
22.3. Market Revenue, by Technology (2017–2030)
22.4. Market Revenue, by Vertical (2017–2030)
Chapter 23. Australia Market
23.1. Overview
23.2. Market Revenue, by Offering (2017–2030)
23.3. Market Revenue, by Technology (2017–2030)
23.4. Market Revenue, by Vertical (2017–2030)
Chapter 24. South Korea Market
24.1. Overview
24.2. Market Revenue, by Offering (2017–2030)
24.3. Market Revenue, by Technology (2017–2030)
24.4. Market Revenue, by Vertical (2017–2030)
Chapter 25. Brazil Market
25.1. Overview
25.2. Market Revenue, by Offering (2017–2030)
25.3. Market Revenue, by Technology (2017–2030)
25.4. Market Revenue, by Vertical (2017–2030)
Chapter 26. Mexico Market
26.1. Overview
26.2. Market Revenue, by Offering (2017–2030)
26.3. Market Revenue, by Technology (2017–2030)
26.4. Market Revenue, by Vertical (2017–2030)
Chapter 27. Saudi Arabia Market
27.1. Overview
27.2. Market Revenue, by Offering (2017–2030)
27.3. Market Revenue, by Technology (2017–2030)
27.4. Market Revenue, by Vertical (2017–2030)
Chapter 28. South Africa Market
28.1. Overview
28.2. Market Revenue, by Offering (2017–2030)
28.3. Market Revenue, by Technology (2017–2030)
28.4. Market Revenue, by Vertical (2017–2030)
Chapter 29. U.A.E. Market
29.1. Overview
29.2. Market Revenue, by Offering (2017–2030)
29.3. Market Revenue, by Technology (2017–2030)
29.4. Market Revenue, by Vertical (2017–2030)
Chapter 30. Competitive Landscape
30.1. List of Market Players and their Offerings
30.2. Competitive Benchmarking of Key Players
30.3. Product Benchmarking of Key Players
30.4. Recent Strategic Developments
Chapter 31. Company Profiles
31.1. Orbcomm Inc.
31.1.1. Business overview
31.1.2. Product and service offerings
31.1.3. Key financial summary
31.2. CMA CGM Group
31.2.1. Business overview
31.2.2. Product and service offerings
31.3. SkyCell AG
31.3.1. Business overview
31.3.2. Product and service offerings
31.4. Phillips Connect
31.4.1. Business overview
31.4.2. Product and service offerings
31.5. Globe Tracker ApS
31.5.1. Business overview
31.5.2. Product and service offerings
31.6. Nexxiot AG
31.6.1. Business overview
31.6.2. Product and service offerings
31.7. Berlinger & Co. AG
31.7.1. Business overview
31.7.2. Product and service offerings
31.8. China International Marine Containers (Group) Co. Ltd.
31.8.1. Business overview
31.8.2. Product and service offerings
31.8.3. Key financial summary
31.9. A.P. Moller – Maersk A/S
31.9.1. Business overview
31.9.2. Product and service offerings
31.9.3. Key financial summary
31.10. MSC Mediterranean Shipping Company S.A.
31.10.1. Business overview
31.10.2. Product and service offerings
31.11. TRAXENS
31.11.1. Business overview
31.11.2. Product and service offerings
31.12. ZillionSource Technologies
31.12.1. Business overview
31.12.2. Product and service offerings
31.13. Hapag-Lloyd AG
31.13.1. Business overview
31.13.2. Product and service offerings
31.14. Sensolus NV
31.14.1. Business overview
31.14.2. Product and service offerings
31.15. Arviem AG
31.15.1. Business overview
31.15.2. Product and service offerings
31.15.3. Key financial summary
Chapter 32. Appendix
32.1. Abbreviations
32.2. Sources and References
32.3. Related Reports
| ※参考情報 輸送用スマートコンテナとは、物流業界において輸送効率や管理の向上を目的とした高機能コンテナのことを指します。一般的なコンテナに比べて、様々なセンサーや通信技術が搭載されており、リアルタイムでデータを収集・送信することができます。これにより、コンテナの位置や気温、湿度、振動などの情報を把握し、輸送中の商品の状態を常にモニタリングすることが可能になります。 スマートコンテナの種類としては、まず基本的な機能を持つ「ロケーション・トラッキング型」があります。これにはGPSなどの位置情報サービスが搭載されており、コンテナの移動状況を追跡することができます。また、セキュリティ面を強化するために、開閉センサーが加わった「セキュリティ型」も存在します。このタイプは、コンテナのドアが開かれた際にアラートをいち早く通知することができ、不正開封などのリスクを軽減します。 さらに、温度や湿度を管理するためのセンサーを搭載した「環境モニタリング型」も非常に重要です。特に食品や医薬品など、温度管理が重要な貨物においては、リアルタイムで状況を把握できることが不可欠です。これにより、適切な条件で輸送されているかを確認し、品質を保つことができます。 スマートコンテナは様々な用途に利用されており、冷凍食品や生鮮食品、医療機器などのデリケートな製品の輸送に特に有効です。また、海上輸送だけでなく、陸上や空輸の物流においてもその利便性が広く活用されています。これらの貨物を取り扱う企業にとっては、スマートコンテナを利用することでコスト効率を高め、配送の正確性を向上させることが可能です。 関連技術としては、IoT(Internet of Things)が挙げられます。スマートコンテナには、IoTデバイスが組み込まれており、これにより収集したデータをクラウド上に保存し、分析することができます。また、ビッグデータ解析技術との組み合わせにより、過去の輸送データからパターンを学習し、より最適な輸送計画を立てることができるようになります。 加えて、ブロックチェーン技術も注目されています。これにより、輸送過程でのデータの透明性や安全性が向上し、すべての関係者が同じ情報をリアルタイムで共有することが可能になります。これにより、偽情報の排除やトレーサビリティの向上が図られ、特に高価または規制の厳しい商品においては、必要不可欠な技術と言えるでしょう。 さらに、人工知能(AI)を活用することで、データに基づいた意思決定が迅速かつ正確に行えるようになります。予測分析を実施し、予期せぬ問題に対する早期警告を発することで、物流の損失を最小限に抑えることが期待されています。 このように、輸送用スマートコンテナは、従来のコンテナと比べて多様な機能を持ち、物流革命を促進する重要な要素です。企業の競争力を高めるためには、これらの技術を駆使し、より効率的な物流体制を構築していくことが求められています。今後もスマートコンテナの普及は進み、様々な分野での利用が期待されています。 |

