1. Executive Summary
1.1. Global Market Outlook
1.2. Summary of Statistics
1.3. Summary of Key Findings
1.4. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Risks and Trends Assessment
3.1. Risk Assessment
3.1.1. COVID-19 Crisis and Impact on Sales
3.1.2. COVID-19 Crisis and Impact on Prices
3.1.3. COVID-19 Impact Benchmark with Previous Crisis
3.1.3.1. Change in Sales
3.1.3.2. Before and After COVID-19 Crisis (Projected)
3.1.3.3. Before and After Sub-prime Crisis – 2008 (Actual)
3.1.3.4. Change in Sales post Recovery Period (After Each Crisis)
3.1.4. Impact on Market Value (US$ Mn)
3.1.4.1. Likely Loss of Value in 2023
3.1.4.2. Mid-term and Long Term Forecast
3.1.4.3. Quarter by Quarter Sales and Recovery Assessment
3.1.5. Anticipated Sales and Value Recovery Curve
3.1.5.1. Likelihood of U-Shape Recovery
3.1.5.2. Likelihood of L-Shape Recovery
3.1.6. Recovery Period Assessment by Key Countries
3.1.7. Recovery Assessment by Key Market Segments
3.1.8. Action Points and Recommendation for Suppliers
3.2. Key Trends Impacting the Market
3.3. Formulation and Truck Type Development Trends
4. Market Background and Foundation Data Points
4.1. Automotive Market Outlook
4.2. Regulatory Landscape
4.3. Automotive Decision of Manufacturers
4.4. Scenario based Growth Forecast
4.5. Value Chain Analysis
4.5.1. List of Key Manufacturers
4.5.2. List of Channel Partners
4.5.3. Operating Margins
4.5.4. Notes on Value Added at Each Node in the Value Chain
4.6. Macro-Economic Factors
4.6.1. Global GDP Growth Outlook
4.6.2. Global Automotive Industry Outlook
4.6.3. Global Employment Outlook
4.6.4. Per Capita Disposable Income
4.7. Forecast Factors – Relevance & Impact
4.7.1. Top Companies Historical Growth
4.7.2. Global GDP Growth Analysis
4.7.3. Index of Industrial Truck Typeion
4.7.4. Industrial Growth Impact
4.8. Market Dynamics
4.8.1. Market Driving Factors and Impact Assessment
4.8.2. Prominent Market Challenges and Impact Assessment
4.8.3. Market Opportunities
4.8.4. Prominent Trends in the Global Market & Their Impact Assessment
5. Global Market Sales Analysis 2018-2022 and Forecast, 2023-2033
5.1. Historical Market Volume (Units) Analysis, 2018-2022
5.2. Current and Future Market Volume (Units) Projections, 2023-2033
5.3. Y-o-Y Growth Trend Analysis
6. Global Market Value Analysis 2018-2022 and Forecast, 2023-2033
6.1. Historical Market Value (US$ Mn) Analysis, 2018-2022
6.2. Current and Future Market Value (US$ Mn) Projections, 2023-2033
6.2.1. Y-o-Y Growth Trend Analysis
6.2.2. Absolute $ Opportunity Analysis
7. Global Market Analysis 2018-2022 and Forecast 2023-2033, By Truck Type
7.1. Introduction / Key Findings
7.2. Historical Market Size (US$ Mn) & Volume (Units) Analysis By Truck Type, 2018-2022
7.3. Current and Future Market Size (US$ Mn) & Volume (Units) Analysis and Forecast By Truck Type, 2023 – 2033
7.3.1. Cab-integrated Trucks
7.3.2. Cabless
7.4. Market Attractiveness Analysis By Truck Type
8. Global Market Analysis 2018-2022 and Forecast 2023-2033, By Class
8.1. Introduction / Key Findings
8.2. Historical Market Size (US$ Mn) & Volume (Units) Analysis By Class, 2018-2022
8.3. Current and Future Market Size (US$ Mn) & Volume (Units) Analysis and Forecast By Class, 2023 – 2033
8.3.1. Class 8 and Class 9
8.3.2.Ultra Class
8.4. Market Attractiveness Analysis By Class
9. Global Market Analysis 2018-2022 and Forecast 2023-2033, By Autonomy Level
9.1. Introduction / Key Findings
9.2. Historical Market Size (US$ Mn) & Volume (Units) Analysis By Autonomy Level, 2018-2022
9.3. Current and Future Market Size (US$ Mn) & Volume (Units) Analysis and Forecast By Autonomy Level, 2023 – 2033
9.3.1. Level 3
9.3.2. Level 4
9.3.3. Level 5
9.4. Market Attractiveness Analysis By Autonomy Level
10. Global Market Analysis 2018-2022 and Forecast 2023-2033, By End Use Industry
10.1. Introduction / Key Findings
10.2. Historical Market Size (US$ Mn) & Volume (Units) Analysis By End Use Industry, 2018-2022
10.3. Current and Future Market Size (US$ Mn) & Volume (Units) Analysis and Forecast By End Use Industry, 2023 – 2033
10.3.1. Mining
10.3.2. Logistics
10.4. Market Attractiveness Analysis By End Use Industry
11. Global Market Analysis 2018-2022 and Forecast 2023-2033, By Sensor
11.1. Introduction / Key Findings
11.2. Historical Market Size (US$ Mn) & Volume (Units) Analysis By End Use Industry, 2018-2022
11.3. Current and Future Market Size (US$ Mn) & Volume (Units) Analysis and Forecast By End Use Industry, 2023 – 2033
11.3.1. RADAR
11.3.2. LiDAR
11.3.3. Camera
11.3.4. Others
11.4. Market Attractiveness Analysis By Sensor
12. Global Market Analysis 2018-2022 and Forecast 2023-2033, by Region
12.1. Introduction
12.2. Historical Market Size (US$ Mn) & Volume (Units) Analysis By Region, 2018-2022
12.3. Current Market Size (US$ Mn) & Volume (Units) Analysis and Forecast By Region, 2023 – 2033
12.3.1. North America
12.3.2. Latin America
12.3.3. Europe
12.3.4. East Asia
12.3.5. South Asia
12.3.6. Oceania
12.3.7. Middle East and Africa (MEA)
12.4. Market Attractiveness Analysis By Region
13. North America Market Analysis 2018-2022 and Forecast 2023-2033
13.1. Introduction
13.2. Pricing Analysis
13.3. Historical Market Size (US$ Mn) Trend Analysis By Market Taxonomy, 2018-2022
13.4. Market Size (US$ Mn) & Volume (Units) Forecast By Market Taxonomy, 2023 – 2033
13.4.1. By Country
13.4.1.1. U.S.
13.4.1.2. Canada
13.4.2. By Truck Type
13.4.3. By Class
13.4.4. By Autonomy Level
13.4.5. By End Use Industry
13.4.6. By Sensor
13.5. Market Attractiveness Analysis
13.5.1. By Country
13.5.2. By Truck Type
13.5.3. By Class
13.5.4. By Autonomy Level
13.5.5. By End Use Industry
13.5.6. By Sensor
14. Latin America Market Analysis 2018-2022 and Forecast 2023-2033
14.1. Introduction
14.2. Pricing Analysis
14.3. Historical Market Size (US$ Mn) Trend Analysis By Market Taxonomy, 2018-2022
14.4. Market Size (US$ Mn) & Volume (Units) Forecast By Market Taxonomy, 2023 – 2033
14.4.1. By Country
14.4.1.1. Brazil
14.4.1.2. Mexico
14.4.1.3. Argentina
14.4.1.4. Chile
14.4.1.5. Peru
14.4.1.6. Rest of Latin America
14.4.2. By Country
14.4.3. By Truck Type
14.4.4. By Class
14.4.5. By Autonomy Level
14.4.6. By End Use Industry
14.4.7. By Sensor
14.5. Market Attractiveness Analysis
14.5.1. By Country
14.5.2. By Truck Type
14.5.3. By Class
14.5.4. By Autonomy Level
14.5.5. By End Use Industry
14.5.6. By Sensor
15. Europe Market Analysis 2018-2022 and Forecast 2023-2033
15.1. Introduction
15.2. Pricing Analysis
15.3. Historical Market Size (US$ Mn) Trend Analysis By Market Taxonomy, 2018-2022
15.4. Market Size (US$ Mn) & Volume (Units) Forecast By Market Taxonomy, 2023 – 2033
15.4.1. By Country
15.4.1.1. Germany
15.4.1.2. France
15.4.1.3. Italy
15.4.1.4. Spain
15.4.1.5. U.K.
15.4.1.6. BENELUX
15.4.1.7. Rest of Europe
15.4.2. By Country
15.4.3. By Truck Type
15.4.4. By Class
15.4.5. By Autonomy Level
15.4.6. By End Use Industry
15.4.7. By Sensor
15.5. Market Attractiveness Analysis
15.5.1. By Country
15.5.2. By Truck Type
15.5.3. By Class
15.5.4. By Autonomy Level
15.5.5. By End Use Industry
15.5.6. By Sensor
16. East Asia Market Analysis 2018-2022 and Forecast 2023-2033
16.1. Introduction
16.2. Pricing Analysis
16.3. Historical Market Size (US$ Mn) Trend Analysis By Market Taxonomy, 2018-2022
16.4. Market Size (US$ Mn) & Volume (Units) Forecast By Market Taxonomy, 2023 – 2033
16.4.1. By Country
16.4.1.1. China
16.4.1.2. Japan
16.4.1.3. South Korea
16.4.2. By Country
16.4.3. By Truck Type
16.4.4. By Class
16.4.5. By Autonomy Level
16.4.6. By End Use Industry
16.4.7. By Sensor
16.5. Market Attractiveness Analysis
16.5.1. By Country
16.5.2. By Truck Type
16.5.3. By Class
16.5.4. By Autonomy Level
16.5.5. By End Use Industry
16.5.6. By Sensor
17. South Asia Market Analysis 2018-2022 and Forecast 2023-2033
17.1. Introduction
17.2. Pricing Analysis
17.3. Historical Market Size (US$ Mn) Trend Analysis By Market Taxonomy, 2018-2022
17.4. Market Size (US$ Mn) & Volume (Units) Forecast By Market Taxonomy, 2023 – 2033
17.4.1. By Country
17.4.1.1. India
17.4.1.2. Thailand
17.4.1.3. Indonesia
17.4.1.4. Malaysia
17.4.1.5. Rest of South Asia
17.4.2. By Country
17.4.3. By Truck Type
17.4.4. By Class
17.4.5. By Autonomy Level
17.4.6. By End Use Industry
17.4.7. By Sensor
17.5. Market Attractiveness Analysis
17.5.1. By Country
17.5.2. By Truck Type
17.5.3. By Class
17.5.4. By Autonomy Level
17.5.5. By End Use Industry
17.5.6. By Sensor
18. Oceania Market Analysis 2018-2022 and Forecast 2023-2033
18.1. Introduction
18.2. Pricing Analysis
18.3. Historical Market Size (US$ Mn) Trend Analysis By Market Taxonomy, 2018-2022
18.4. Market Size (US$ Mn) & Volume (Units) Forecast By Market Taxonomy, 2023 – 2033
18.4.1. By Country
18.4.1.1. Australia
18.4.1.2. New Zealand
18.4.2. By Country
18.4.3. By Truck Type
18.4.4. By Class
18.4.5. By Autonomy Level
18.4.6. By End Use Industry
18.4.7. By Sensor
18.5. Market Attractiveness Analysis
18.5.1. By Country
18.5.2. By Truck Type
18.5.3. By Class
18.5.4. By Autonomy Level
18.5.5. By End Use Industry
18.5.6. By Sensor
19. Middle East and Africa Market Analysis 2018-2022 and Forecast 2023-2033
19.1. Introduction
19.2. Pricing Analysis
19.3. Historical Market Size (US$ Mn) Trend Analysis By Market Taxonomy, 2018-2022
19.4. Market Size (US$ Mn) & Volume (Units) Forecast By Market Taxonomy, 2023 – 2033
19.4.1. By Country
19.4.1.1. GCC Countries
19.4.1.2. South Africa
19.4.1.3. Turkey
19.4.1.4. Iran
19.4.1.5. Israel
19.4.1.6. Rest of Middle East and Africa
19.4.2. By Country
19.4.3. By Truck Type
19.4.4. By Class
19.4.5. By Autonomy Level
19.4.6. By End Use Industry
19.4.7. By Sensor
19.5. Market Attractiveness Analysis
19.5.1. By Country
19.5.2. By Truck Type
19.5.3. By Class
19.5.4. By Autonomy Level
19.5.5. By End Use Industry
19.5.6. By Sensor
20. Market Structure Analysis
20.1. Market Analysis by Tier of Companies
20.2. Market Concentration
20.3. Market Share Analysis of Top Players
20.4. Market Presence Analysis
20.4.1. By Regional footprint of Players
20.4.2. Truck Type footprint by Players
20.4.3. Channel footprint by Players
21. Competition Analysis
21.1. Competition Dashboard
21.2. Competition Benchmarking
21.3. Competition Deep Dive (Indicative List)
21.3.1. Uber Technologies Inc.
21.3.1.1. Overview
21.3.1.2. Truck Type Portfolio
21.3.1.3. Sales Footprint
21.3.1.4. Strategy Overview
21.3.2. Daimler AG
21.3.2.1. Overview
21.3.2.2. Truck Type Portfolio
21.3.2.3. Sales Footprint
21.3.2.4. Strategy Overview
21.3.3. Ford Motor Co
21.3.3.1. Overview
21.3.3.2. Truck Type Portfolio
21.3.3.3. Sales Footprint
21.3.3.4. Strategy Overview
21.3.4. AB Volvo
21.3.4.1. Overview
21.3.4.2. Truck Type Portfolio
21.3.4.3. Sales Footprint
21.3.4.4. Strategy Overview
21.3.5. BMW AG
21.3.5.1. Overview
21.3.5.2. Truck Type Portfolio
21.3.5.3. Sales Footprint
21.3.5.4. Strategy Overview
21.3.6. Tesla Inc.
21.3.6.1. Overview
21.3.6.2. Truck Type Portfolio
21.3.6.3. Sales Footprint
21.3.6.4. Strategy Overview
21.3.7. Google Inc.
21.3.7.1. Overview
21.3.7.2. Truck Type Portfolio
21.3.7.3. Sales Footprint
21.3.7.4. Strategy Overview
21.3.8. IVICO
21.3.8.1. Overview
21.3.8.2. Truck Type Portfolio
21.3.8.3. Sales Footprint
21.3.8.4. Strategy Overview
21.3.9. DAF
21.3.9.1. Overview
21.3.9.2. Truck Type Portfolio
21.3.9.3. Sales Footprint
21.3.9.4. Strategy Overview
21.3.10. Scania
21.3.10.1. Overview
21.3.10.2. Truck Type Portfolio
21.3.10.3. Sales Footprint
21.3.10.4. Strategy Overview
21.3.11. Slazenger
21.3.11.1. Overview
21.3.11.2. Truck Type Portfolio
21.3.11.3. Sales Footprint
21.3.11.4. Strategy Overview
22. Appendix
| ※参考情報 自動運転トラックとは、運転手を必要とせずに自動的に走行することができるトラックのことです。これらのトラックは、高度なセンサー、カメラ、レーダー、人工知能(AI)および機械学習を活用して、周囲の環境を認識し、安全に運転を行います。自動運転技術は、輸送業界に革命をもたらす可能性があり、コスト削減、効率向上、業界の人手不足に対する対策として注目されています。 自動運転トラックの種類は、主にレベル別に分類されます。自動運転技術はアメリカの自動車技術者協会(SAE)によって定義されており、レベル0からレベル5までの6つのレベルがあります。レベル0は完全に手動運転であり、レベル1は運転支援機能を持つものです。レベル2は部分的自動運転であり、運転手が常に監視する必要があります。レベル3は条件付き自動運転で、特定の条件下で自動運転が可能ですが、運転手の介入が必要になる場合もあります。レベル4は高い自動運転能力を持ち、特定の範囲内で運転手が不要になりますが、範囲外では運転手が必要です。レベル5は完全自動運転で、すべての状況下で運転手が不要となりますが、現時点では技術的な課題が残っています。 自動運転トラックの主な用途は、物流や貨物輸送、配送サービスです。長距離輸送や都市間輸送において、自動運転トラックは大きな効率を発揮することが期待されています。燃費の向上や交通渋滞の緩和、さらには運行コストの削減が見込まれます。また、夜間や過酷な気象条件下でも運転が可能になることで、輸送スケジュールの柔軟性が向上します。 関連技術としては、センサー技術、通信技術、データ解析技術があります。センサー技術には、LiDAR(レーザーを用いた距離測定)、ミリ波レーダー、カメラなどが含まれ、これらを組み合わせることで周囲の状況を把握します。通信技術では、V2X(Vehicles to Everything)と呼ばれる、車両と他の車両やインフラとの間でデータを交換する技術が進化しています。これにより、交通流の最適化や事故のリスクを低減することが可能になります。 自動運転トラックは、運送業界における人手不足という課題にも取り組むことができます。実際、トラック運転手の高齢化や労働環境の厳しさから、多くの企業が運転手の確保に苦労しています。自動運転トラックの導入は、人手不足の解消に寄与するとされています。 しかしながら、自動運転トラックの普及には技術的、法的、倫理的な課題も多く存在しています。技術的には、極端な気象条件や予測困難な交通状況に対する信頼性の向上が求められています。また、法的には、自動運転車両の運行に関する規制の整備が必要です。どのような責任を持つべきか、事故の際の補償に関する問題も議論されています。倫理的には、自動運転車が遭遇する緊急事態において、どのような判断を下すべきかという問題も浮上しています。 今後の展望として、自動運転トラックは、環境に配慮した持続可能な運輸手段としての役割を果たすことが期待されています。電動化やハイブリッド化も進められており、温室効果ガスの排出削減にも寄与することが期待できます。また、自動運転技術が進化することで、物流の効率化が図られ、経済活動の活性化にも繋がるでしょう。 自動運転トラックは、未来の交通システムの一環として注目されています。その実用化が進むことで、我々の生活や産業がどのように変革するのか、今後の展開が非常に楽しみです。 |
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