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、物流業界で使用される高度な技術を搭載したコンテナのことを指します。これらのコンテナは、センサーや通信技術を利用して、輸送中の貨物の状態をリアルタイムで監視・管理することができます。スマートコンテナは、従来のコンテナに比べて情報伝達の速度や正確性が向上しており、より効率的な物流運営を支援します。 スマートコンテナにはいくつかの種類があります。まず、温度管理機能を搭載したコンテナがあります。これにより、冷蔵や冷凍が必要な貨物を適切な温度で保つことができ、食品や医薬品などの品質を確保することができます。また、湿度や圧力などの環境条件をモニタリングできるコンテナもあり、これによって特定の貨物が必要とする環境を維持することが可能です。 次に、位置情報をリアルタイムで把握できるGPS機能を搭載したスマートコンテナも一般的です。これにより、コンテナの移動状況や到着予定時刻を正確に把握でき、運送計画を最適化することができます。さらに、衝撃センサーを搭載したモデルも存在し、輸送中の振動や衝撃を記録することで、貨物の安全性を高める工夫がされています。 スマートコンテナの用途は多岐にわたります。例えば、食品業界や医療業界では、商品の鮮度や品質を維持するために温度や湿度の監視が特に重要です。このような業界では、スマートコンテナを利用することで、規制に従った状態で貨物を輸送することができ、ブランディングや顧客の信頼を保つ助けになります。また、工業品や電子機器の輸送においても、衝撃センサーにより輸送中の損傷を防ぐためにスマートコンテナが利用されています。 関連技術には、IoT(モノのインターネット)やビッグデータ解析、ブロックチェーンなどがあります。スマートコンテナには、IoT技術が活用されており、センサーから収集されたデータがクラウドに送信される仕組みになっています。このデータは、リアルタイムで管理者が確認することができ、必要に応じて適切な対応を行うことが可能です。 また、ビッグデータ解析により、蓄積されたデータを分析して物流の効率を向上させることができます。これにより、予測分析を行い、最適な輸送経路や手法を決定することができ、コスト削減やサービス向上に寄与します。さらに、ブロックチェーン技術を使うことで、輸送履歴を透明性のある形で管理することができ、取引の信頼性を確保することができます。 このように、輸送用スマートコンテナは、技術革新によって物流業界に大きな変革をもたらしています。リアルタイムでの監視・管理やデータ分析能力は、効率性と安全性を向上させるための重要な要素となっており、今後ますます普及が進むことが予想されます。スマートコンテナの導入によって、グローバルなサプライチェーンがより強固で柔軟なものになることが期待されています。 |
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