查看購物車
  • Simplified Chinese
  • English
  • Japanese
  • Korean
重型卡車的全球市場規模：按類別（7 類、8 類、駕駛室 {日間駕駛室、臥舖}）、燃料（柴油、天然氣、混合動力、汽油）、馬力2023-2032預測
市場調查報告書
商品編碼
1248103

重型卡車的全球市場規模：按類別（7 類、8 類、駕駛室 {日間駕駛室、臥舖}）、燃料（柴油、天然氣、混合動力、汽油）、馬力2023-2032預測

Heavy-Duty Trucks Market Size By Class (Class 7, Class 8, Cab {Day Cab, Sleeper}), By Fuel (Diesel, Natural Gas, Hybrid Electric, Gasoline), By Horsepower (Below 300HP, 300HP - 400HP, 400HP - 500HP, Above 500HP) & Forecast 2023 - 2032
出版日期: | 出版商: Global Market Insights Inc. | 英文 400 Pages | 商品交期: 2-3個工作天內

價格
簡介目錄

由於效率提高、噪音低和維護要求低等多項優勢，重型卡車市場正在見證電動卡車的採用激增，預計到 2032 年將呈現良好增長.

電動機技術的持續創新以及充電和電池技術的進步也將在研究期間為重型卡車市場的增長做出積極貢獻。

此外，購買電動汽車時的扶持政策、優惠的稅收抵免、回扣和折扣也吸引著消費者採用電動汽車而非傳統的燃油卡車。

跨市場運營的大型製造商正在尋求擴大其全球影響力並使其產品類別多樣化，以通過收購、兼併和合作夥伴關係獲得競爭優勢。 例如，2023 年 1 月，塔塔汽車通過其子公司收購了福特印度公司在薩南德的製造工廠。 通過此次收購，塔塔汽車計劃擴大其在印度次大陸的製造能力。

總體而言，重型卡車行業按類別、燃料、馬力和地區進行細分。

按類別劃分，到 2032 年，4X2 細分市場的複合年增長率預計將超過 5%。 具有 4x2 軸配置的具有成本效益的重型卡車模型的現成可用性預計將在未來幾年促進該細分市場的增長。

就燃料而言，預計到 2032 年，混合動力電動領域將呈現強勁勢頭。 憑藉低噪音、出色的發動機功率和扭矩等優勢，對這些卡車的需求不斷飆升，有助於該細分市場的擴張。 此外，在研究期間，混合動力技術的不斷技術進步提高了卡車效率，預計將增加細分市場份額。

考慮到馬力，到 2032 年，300HP-400HP 細分市場可能會呈現出積極的發展軌跡。 對 300-400 馬力重型卡車發動機的更高需求將對細分市場擴張產生積極影響，因為與更高馬力的零部件發動機相比，它們具有成本更低、發動機重量更輕和燃油效率更高等優勢。

按地區劃分，到 2032 年，歐洲重型卡車行業的複合年增長率預計將超過 8%。 該地區消費者對自動駕駛重型卡車的偏好正在增加，產品需求預計也會增加。 此外，配備 ADAS 系統的卡車司機音頻揚聲器的推出正在增加，這些系統可以及時警告和通知道路上的潛在風險和威脅，從而推動產品銷售增長。

內容

第 1 章研究方法和範圍

第 2 章執行摘要

第 3 章行業洞察

  • COVID-19 的影響
  • 俄烏戰爭的影響
  • 工業生態系統分析
    • 組件供應商
    • 技術提供商
    • 製造商
    • 分銷渠道分析
    • 最終使用情況
    • 利潤率分析
    • 供應商矩陣
  • 技術和創新前景
  • 監管狀況
    • ISO 標準
    • 北美
    • 歐洲
    • 亞太地區
    • 拉丁美洲
    • 多邊環境協定
  • 專利分析
  • 主要舉措和新聞
  • 影響行業的因素
    • 司機
      • 全球對電動和混合動力重型卡車的需求不斷增長
      • 北美的貨運代理活動不斷增長
      • 在歐洲實施嚴格的廢氣法規
      • 增加對亞太地區基礎設施發展的投資
      • MEA 的採礦、石油和天然氣行業對重型卡車的需求不斷增長
      • 啟動拉丁美洲的房地產建設活動
    • 行業潛在的風險和挑戰
      • 初始和維護成本高
  • 增長分析
  • 波特分析
  • PESTEL 分析

第四章競爭格局

  • 介紹
  • 每家公司的市場份額，2022 年
    • AB 沃爾沃
    • 戴姆勒股份公司
    • 佩卡公司
    • 東風汽車公司
    • 福萊納卡車
    • 斯堪尼亞
    • 彼得比爾特
  • 競爭對手定位矩陣
  • 戰略視角矩陣

第 5 章重型卡車市場：按類別（銷售和出貨量）

  • 主要趨勢（按類別）
  • 7 級
    • 加速類型
      • 4X2
      • 6X2
      • 6X4
  • 8 班
    • 加速類型
      • 4X2
      • 6X2
      • 6X4
    • 駕駛室類型
      • 日間出租車
      • 臥舖駕駛室

第 6 章重型卡車市場：按燃料分類（銷售和出貨量）

  • 主要趨勢（按燃料）
  • 柴油機
  • 天然氣
  • 混合動力
  • 汽油

第 7 章重型卡車市場：按馬力（銷量/出貨量）

  • 主要趨勢（按馬力）
  • 300 HP 或以下
  • 300HP-400HP
  • 400HP-500HP
  • 500 HP 或更多

第 8 章重型卡車市場：按地區（銷售和出貨量）

  • 主要趨勢（按地區）
  • 北美
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 意大利
    • 俄羅斯
    • 比利時
    • 瑞典
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 韓國
    • 印度尼西亞
    • 泰國
    • 越南
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
  • 多邊環境協定
    • 阿聯酋
    • 沙特阿拉伯
    • 南非
    • 伊朗
    • 土耳其人

第九章公司簡介

  • Ashok Leyland
  • China National Heavy-Duty Group
  • Dongfeng
  • Eicher Motor Limited
  • Ford
  • Freightliner
  • Isuzu Motors
  • Kenworth
  • MAN SE
  • Navistar
  • Peterbilt
  • Scania AB
  • Tata Motors
  • Volvo
簡介目錄
Product Code: 2015

Heavy-Duty Trucks Market is anticipated to showcase lucrative growth during 2023-2032, owing to the budding adoption of electric-powered trucks due to several benefits such as improved efficiency, lower noise, and minimum maintenance requirements. Constant tech innovations in electric motor technologies, coupled with advancements in charging and battery technology, will also positively contribute to the growth of heavy-duty trucks market over the study timeframe.

In addition, supporting policies, favorable tax credits, rebates, and discounts on the purchase of electric-powered trucks are also attracting consumers to adopt such vehicles over conventional fuel trucks.

Major manufacturers operating in the overall marketplace are seeking expanding their global presence and diversifying their product categories to gain a competitive advantage via acquisitions, mergers, and partnerships. For instance, in January 2023, Tata Motors acquired Ford India's manufacturing plant at Sanand through its subsidiary. With this acquisition, Tata Motors plans to expand its manufacturing capability across the Indian subcontinent.

Overall, the heavy-duty truck industry is segmented in terms of class, fuel, horsepower, and region.

Based on class, the 4X2 segment will exhibit over 5% CAGR through 2032. The easy availability of cost-effective models of heavy-duty trucks with 4x2 axle configuration will help the segment grow in the coming years.

By fuel, the hybrid electric segment is anticipated to demonstrate strong momentum through 2032. Constantly surging demand for these trucks owing to several benefits such as lower noise, superior engine power, and torque will assist the segment expansion. In addition, constant technological advancements in hybrid technologies, which will enhance truck efficiency are slated to expand the segment share over the study timeframe.

Considering the horsepower, the 300HP-400HP segment will demonstrate a positive trajectory through 2032. The rising demand for heavy-duty truck engines with 300 to 400 hp, given their low-cost compared to higher horsepower configurated engines and benefits including low engine weight and high fuel efficiency, will positively influence the segment expansion.

In terms of regional perspective, the Europe heavy-duty truck industry will depict over 8% CAGR through 2032. Increasing consumer preference for autonomous heavy-duty trucks across the region will increase the product demand. Besides, rising deployment of audio speakers equipped with ADAS systems for truck drivers to provide timely alerts and notifications for potential risks and threats on the road would support the growing product sales.

Table of Contents

Chapter 1 Methodology and Scope

  • 1.1 Scope & definitions
  • 1.2 Base estimates and calculations
  • 1.3 Forecast calculations
  • 1.4 Data Sources
    • 1.4.1 Primary
    • 1.4.2 Secondary
      • 1.4.2.1 Paid sources
      • 1.4.2.2 Public sources

Chapter 2 Executive Summary

  • 2.1 Heavy-duty trucks industry 360 degree synopsis, 2018-2032
  • 2.2 Business trends
    • 2.2.1 Total Addressable Market (TAM), 2023-2032
  • 2.3 Regional trends
  • 2.4 Class trends
  • 2.5 Fuel trends
  • 2.6 Horsepower trends

Chapter 3 Industry Insights

  • 3.1 Impact of COVID-19
    • 3.1.1 North America
    • 3.1.2 Europe
    • 3.1.3 Asia Pacific
    • 3.1.4 Latin America
    • 3.1.5 MEA
  • 3.2 Russia-Ukraine war impact
  • 3.3 Industry ecosystem analysis
    • 3.3.1 Component suppliers
    • 3.3.2 Technology providers
    • 3.3.3 Manufacturers
    • 3.3.4 Distribution channel analysis
    • 3.3.5 End use landscape
    • 3.3.6 Profit margin analysis
    • 3.3.7 Vendor matrix
  • 3.4 Technology & innovation landscape
  • 3.5 Regulatory landscape
    • 3.5.1 ISO standards
    • 3.5.2 North America
    • 3.5.3 Europe
    • 3.5.4 Asia Pacific
    • 3.5.5 Latin America
    • 3.5.6 MEA
  • 3.6 Patent analysis
  • 3.7 Key initiatives and news
  • 3.8 Industry impact forces
    • 3.8.1 Growth drivers
      • 3.8.1.1 Increasing demand for electric & hybrid heavy-duty trucks across the globe
      • 3.8.1.2 Growing freight transportation activities across North America
      • 3.8.1.3 Implementation of stringent emission regulations in Europe
      • 3.8.1.4 Rising investments in infrastructure development activities in Asia Pacific
      • 3.8.1.5 Growing demand for heavy-duty trucks from mining and, oil & gas sector in MEA
      • 3.8.1.6 Rising real estate construction activities in Latin America
    • 3.8.2 Industry pitfalls & challenges
      • 3.8.2.1 High initial and maintenance costs
  • 3.9 Growth potential analysis
  • 3.10 Porter's analysis
  • 3.11 PESTEL analysis

Chapter 4 Competitive Landscape

  • 4.1 Introduction
  • 4.2 Company market share, 2022
    • 4.2.1 AB Volvo
    • 4.2.2 Daimler AG
    • 4.2.3 Peccar Inc.
    • 4.2.4 Dongfeng Motor Corporation
    • 4.2.5 Freighliner Trucks
    • 4.2.6 Scania
    • 4.2.7 Peterbilt
  • 4.3 Competitive positioning matrix
  • 4.4 Strategic outlook matrix

Chapter 5 Heavy-Duty Trucks Market, By Class (Revenue & Shipments)

  • 5.1 Key trends, by class
  • 5.2 Class 7
    • 5.2.1 Market estimates and forecast, 2018-2032
    • 5.2.2 Axle type
      • 5.2.2.1 Market estimates and forecast, 2018-2032
      • 5.2.2.2. 4X2
        • 5.2.2.2.1 Market estimates and forecast, 2018-2032
      • 5.2.2.3. 6X2
        • 5.2.2.3.1 Market estimates and forecast, 2018-2032
      • 5.2.2.4. 6X4
        • 5.2.2.4.1 Market estimates and forecast, 2018-2032
  • 5.3 Class 8
    • 5.3.1 Market estimates and forecast, 2018-2032
    • 5.3.2 Axle type
      • 5.3.2.1 Market estimates and forecast, 2018-2032
      • 5.3.2.2. 4X2
        • 5.3.2.2.1 Market estimates and forecast, 2018-2032
      • 5.3.2.3. 6X2
        • 5.3.2.3.1 Market estimates and forecast, 2018-2032
      • 5.3.2.4. 6X4
        • 5.3.2.4.1 Market estimates and forecast, 2018-2032
    • 5.3.3 Cab type
      • 5.3.3.1 Market estimates and forecast, 2018-2032
      • 5.3.3.2 Day cab
        • 5.3.3.2.1 Market estimates and forecast, 2018-2032
      • 5.3.3.3 Sleeper cab
        • 5.3.3.3.1 Market estimates and forecast, 2018-2032

Chapter 6 Heavy-Duty Trucks Market, By Fuel (Revenue & Shipments)

  • 6.1 Key trends, by fuel
  • 6.2 Diesel
    • 6.2.1 Market estimates and forecast, 2018-2032
  • 6.3 Natural gas
    • 6.3.1 Market estimates and forecast, 2018-2032
  • 6.4 Hybrid electric
    • 6.4.1 Market estimates and forecast, 2018-2032
  • 6.5 Gasoline
    • 6.5.1 Market estimates and forecast, 2018-2032

Chapter 7 Heavy-Duty Trucks Market, By Horsepower (Revenue & Shipments)

  • 7.1 Key trends, by horsepower
  • 7.2 Below 300HP
    • 7.2.1 Market estimates and forecast, 2018-2032
  • 7.3 300HP-400HP
    • 7.3.1 Market estimates and forecast, 2018-2032
  • 7.4 400HP-500HP
    • 7.4.1 Market estimates and forecast, 2018-2032
  • 7.5 Above 500HP
    • 7.5.1 Market estimates and forecast, 2018-2032

Chapter 8 Heavy-Duty Trucks Market, By Region (Revenue & Shipments)

  • 8.1 Key trends, by region
  • 8.2 North America
    • 8.2.1 Market estimates and forecast, by class, 2018-2032
    • 8.2.2 Market estimates and forecast, by fuel, 2018-2032
    • 8.2.3 Market estimates and forecast, by horsepower, 2018-2032
    • 8.2.4 U.S.
      • 8.2.4.1 Market estimates and forecast, by class, 2018-2032
      • 8.2.4.2 Market estimates and forecast, by fuel, 2018-2032
      • 8.2.4.3 Market estimates and forecast, by horsepower, 2018-2032
    • 8.2.5 Canada
      • 8.2.5.1 Market estimates and forecast, by class, 2018-2032
      • 8.2.5.2 Market estimates and forecast, by fuel, 2018-2032
      • 8.2.5.3 Market estimates and forecast, by horsepower, 2018-2032
  • 8.3 Europe
    • 8.3.1 Market estimates and forecast, by class, 2018-2032
    • 8.3.2 Market estimates and forecast, by fuel, 2018-2032
    • 8.3.3 Market estimates and forecast, by horsepower, 2018-2032
    • 8.3.4 UK
      • 8.3.4.1 Market estimates and forecast, by class, 2018-2032
      • 8.3.4.2 Market estimates and forecast, by fuel, 2018-2032
      • 8.3.4.3 Market estimates and forecast, by horsepower, 2018-2032
    • 8.3.5 Germany
      • 8.3.5.1 Market estimates and forecast, by class, 2018-2032
      • 8.3.5.2 Market estimates and forecast, by fuel, 2018-2032
      • 8.3.5.3 Market estimates and forecast, by horsepower, 2018-2032
    • 8.3.6 France
      • 8.3.6.1 Market estimates and forecast, by class, 2018-2032
      • 8.3.6.2 Market estimates and forecast, by fuel, 2018-2032
      • 8.3.6.3 Market estimates and forecast, by horsepower, 2018-2032
    • 8.3.7 Italy
      • 8.3.7.1 Market estimates and forecast, by class, 2018-2032
      • 8.3.7.2 Market estimates and forecast, by fuel, 2018-2032
      • 8.3.7.3 Market estimates and forecast, by horsepower, 2018-2032
    • 8.3.8 Russia
      • 8.3.8.1 Market estimates and forecast, by class, 2018-2032
      • 8.3.8.2 Market estimates and forecast, by fuel, 2018-2032
      • 8.3.8.3 Market estimates and forecast, by horsepower, 2018-2032
    • 8.3.9 Belgium
      • 8.3.9.1 Market estimates and forecast, by class, 2018-2032
      • 8.3.9.2 Market estimates and forecast, by fuel, 2018-2032
      • 8.3.9.3 Market estimates and forecast, by horsepower, 2018-2032
    • 8.3.10 Sweden
      • 8.3.10.1 Market estimates and forecast, by class, 2018-2032
      • 8.3.10.2 Market estimates and forecast, by fuel, 2018-2032
      • 8.3.10.3 Market estimates and forecast, by horsepower, 2018-2032
  • 8.4 Asia Pacific
    • 8.4.1 Market estimates and forecast, by class, 2018-2032
    • 8.4.2 Market estimates and forecast, by fuel, 2018-2032
    • 8.4.3 Market estimates and forecast, by horsepower, 2018-2032
    • 8.4.4 China
      • 8.4.4.1 Market estimates and forecast, by class, 2018-2032
      • 8.4.4.2 Market estimates and forecast, by fuel, 2018-2032
      • 8.4.4.3 Market estimates and forecast, by horsepower, 2018-2032
    • 8.4.5 India
      • 8.4.5.1 Market estimates and forecast, by class, 2018-2032
      • 8.4.5.2 Market estimates and forecast, by fuel, 2018-2032
      • 8.4.5.3 Market estimates and forecast, by horsepower, 2018-2032
    • 8.4.6 Japan
      • 8.4.6.1 Market estimates and forecast, by class, 2018-2032
      • 8.4.6.2 Market estimates and forecast, by fuel, 2018-2032
      • 8.4.6.3 Market estimates and forecast, by horsepower, 2018-2032
    • 8.4.7 South Korea
      • 8.4.7.1 Market estimates and forecast, by class, 2018-2032
      • 8.4.7.2 Market estimates and forecast, by fuel, 2018-2032
      • 8.4.7.3 Market estimates and forecast, by horsepower, 2018-2032
    • 8.4.8 Indonesia
      • 8.4.8.1 Market estimates and forecast, by class, 2018-2032
      • 8.4.8.2 Market estimates and forecast, by fuel, 2018-2032
      • 8.4.8.3 Market estimates and forecast, by horsepower, 2018-2032
    • 8.4.9 Thailand
      • 8.4.9.1 Market estimates and forecast, by class, 2018-2032
      • 8.4.9.2 Market estimates and forecast, by fuel, 2018-2032
      • 8.4.9.3 Market estimates and forecast, by horsepower, 2018-2032
    • 8.4.10 Vietnam
      • 8.4.10.1 Market estimates and forecast, by class, 2018-2032
      • 8.4.10.2 Market estimates and forecast, by fuel, 2018-2032
      • 8.4.10.3 Market estimates and forecast, by horsepower, 2018-2032
  • 8.5 Latin America
    • 8.5.1 Market estimates and forecast, by class, 2018-2032
    • 8.5.2 Market estimates and forecast, by fuel, 2018-2032
    • 8.5.3 Market estimates and forecast, by horsepower, 2018-2032
    • 8.5.4 Brazil
      • 8.5.4.1 Market estimates and forecast, by class, 2018-2032
      • 8.5.4.2 Market estimates and forecast, by fuel, 2018-2032
      • 8.5.4.3 Market estimates and forecast, by horsepower, 2018-2032
    • 8.5.5 Mexico
      • 8.5.5.1 Market estimates and forecast, by class, 2018-2032
      • 8.5.5.2 Market estimates and forecast, by fuel, 2018-2032
      • 8.5.5.3 Market estimates and forecast, by horsepower, 2018-2032
    • 8.5.6 Argentina
      • 8.5.6.1 Market estimates and forecast, by class, 2018-2032
      • 8.5.6.2 Market estimates and forecast, by fuel, 2018-2032
      • 8.5.6.3 Market estimates and forecast, by horsepower, 2018-2032
  • 8.6 MEA
    • 8.6.1 Market estimates and forecast, by class, 2018-2032
    • 8.6.2 Market estimates and forecast, by fuel, 2018-2032
    • 8.6.3 Market estimates and forecast, by horsepower, 2018-2032
    • 8.6.4 UAE
      • 8.6.4.1 Market estimates and forecast, by class, 2018-2032
      • 8.6.4.2 Market estimates and forecast, by fuel, 2018-2032
      • 8.6.4.3 Market estimates and forecast, by horsepower, 2018-2032
    • 8.6.5 Saudi Arabia
      • 8.6.5.1 Market estimates and forecast, by class, 2018-2032
      • 8.6.5.2 Market estimates and forecast, by fuel, 2018-2032
      • 8.6.5.3 Market estimates and forecast, by horsepower, 2018-2032
    • 8.6.6 South Africa
      • 8.6.6.1 Market estimates and forecast, by class, 2018-2032
      • 8.6.6.2 Market estimates and forecast, by fuel, 2018-2032
      • 8.6.6.3 Market estimates and forecast, by horsepower, 2018-2032
    • 8.6.7 Iran
      • 8.6.7.1 Market estimates and forecast, by class, 2018-2032
      • 8.6.7.2 Market estimates and forecast, by fuel, 2018-2032
      • 8.6.7.3 Market estimates and forecast, by horsepower, 2018-2032
    • 8.6.8 Turkey
      • 8.6.8.1 Market estimates and forecast, by class, 2018-2032
      • 8.6.8.2 Market estimates and forecast, by fuel, 2018-2032
      • 8.6.8.3 Market estimates and forecast, by horsepower, 2018-2032

Chapter 9 Company Profiles

  • 9.1 Ashok Leyland
    • 9.1.1 Business Overview
    • 9.1.2 Financial Data
    • 9.1.3 Type Landscape
    • 9.1.4 Strategic Outlook
    • 9.1.5 SWOT Analysis
  • 9.2 China National Heavy-Duty Group
    • 9.2.1 Business Overview
    • 9.2.2 Financial Data
    • 9.2.3 Type Landscape
    • 9.2.4 Strategic Outlook
    • 9.2.5 SWOT Analysis
  • 9.3 Dongfeng
    • 9.3.1 Business Overview
    • 9.3.2 Financial Data
    • 9.3.3 Type Landscape
    • 9.3.4 Strategic Outlook
    • 9.3.5 SWOT Analysis
  • 9.4 Eicher Motor Limited
    • 9.4.1 Business Overview
    • 9.4.2 Financial Data
    • 9.4.3 Type Landscape
    • 9.4.4 Strategic Outlook
    • 9.4.5 SWOT Analysis
  • 9.5 Ford
    • 9.5.1 Business Overview
    • 9.5.2 Financial Data
    • 9.5.3 Type Landscape
    • 9.5.4 Strategic Outlook
    • 9.5.5 SWOT Analysis
  • 9.6 Freightliner
    • 9.6.1 Business Overview
    • 9.6.2 Financial Data
    • 9.6.3 Type Landscape
    • 9.6.4 Strategic Outlook
    • 9.6.5 SWOT Analysis
  • 9.7 Isuzu Motors
    • 9.7.1 Business Overview
    • 9.7.2 Financial Data
    • 9.7.3 Type Landscape
    • 9.7.4 Strategic Outlook
    • 9.7.5 SWOT Analysis
  • 9.8 Kenworth
    • 9.8.1 Business Overview
    • 9.8.2 Financial Data
    • 9.8.3 Type Landscape
    • 9.8.4 Strategic Outlook
    • 9.8.5 SWOT Analysis
  • 9.9 MAN SE
    • 9.9.1 Business Overview
    • 9.9.2 Financial Data
    • 9.9.3 Type Landscape
    • 9.9.4 Strategic Outlook
    • 9.9.5 SWOT Analysis
  • 9.10 Navistar
    • 9.10.1 Business Overview
    • 9.10.2 Financial Data
    • 9.10.3 Type Landscape
    • 9.10.4 Strategic Outlook
    • 9.10.5 SWOT Analysis
  • 9.11 Peterbilt
    • 9.11.1 Business Overview
    • 9.11.2 Financial Data
    • 9.11.3 Type Landscape
    • 9.11.4 Strategic Outlook
    • 9.11.5 SWOT Analysis
  • 9.12 Scania AB
    • 9.12.1 Business Overview
    • 9.12.2 Financial Data
    • 9.12.3 Type Landscape
    • 9.12.4 Strategic Outlook
    • 9.12.5 SWOT Analysis
  • 9.13 Tata Motors
    • 9.13.1 Business Overview
    • 9.13.2 Financial Data
    • 9.13.3 Type Landscape
    • 9.13.4 Strategic Outlook
    • 9.13.5 SWOT Analysis
  • 9.14 Volvo
    • 9.14.1 Business Overview
    • 9.14.2 Financial Data
    • 9.14.3 Type Landscape
    • 9.14.4 Strategic Outlook
    • 9.14.5 SWOT Analysis