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1803097

全球車隊劣化分析市場：預測至 2032 年－按類型、部署方式、車隊、最終用戶和地區進行分析

Fleet Degradation Analytics Market Forecasts to 2032 - Global Analysis By Type (Operations Management, Vehicle Maintenance & Diagnostics, Performance Management, Fleet Analytics & Reporting and Other Types), Deployment, Fleet, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，全球車隊劣化分析市場預計在 2025 年將達到 24 億美元，到 2032 年將達到 84 億美元，預測期內的複合年成長率為 19%。

車隊劣化分析利用先進的資料科學、預測模型和物聯網驅動的遠端資訊處理技術，來監測和預測運輸或設備車隊的磨損和性能下降。此方法將即時感測器資料與歷史維護記錄相結合，以預測組件故障、最佳化資產生命週期管理並最大限度地減少停機時間。應用人工智慧演算法可以幫助組織做出主動的維修決策，降低營運成本並延長車隊的使用壽命。

根據 Grand View Research 的調查，隨著運輸和物流行業擴大採用物聯網、人工智慧和基於感測器的分析來預測車輛劣化、最佳化維護、減少停機時間和控制營運費用，車隊劣化分析市場正在擴大。

車輛最佳化需求日益成長

車輛最佳化需求的日益成長，促使那些希望最大程度減少停機時間、延長車輛使用壽命並提高整體營運效率的公司紛紛採用車隊劣化分析技術。聯網汽車、遠端資訊處理和基於物聯網的監控系統的日益普及，使得企業能夠更即時地洞察資產績效。在不斷上漲的燃油成本和日益嚴格的永續性目標的推動下，企業優先考慮能夠降低維修頻率並最佳化路線的預測性解決方案。因此，全球範圍內對車隊管理高階分析的需求正在顯著成長。

分析整合高成本

分析整合的高成本是其廣泛應用的一大障礙。部署先進的預測維修系統、人工智慧主導的分析平台和遠端資訊處理感測器通常需要大量的資本支出。小型車隊營運商尤其面臨採用這些解決方案的財務障礙，因為投資回報可能無法立即實現。此外，與系統升級和培訓相關的持續費用也加重了負擔。這種成本密集的生態系統限制了市場滲透，尤其是在技術基礎設施受限的新興經濟體。

採用人工智慧主導的預測車隊分析

採用人工智慧主導的預測性車隊分析技術，市場成長潛力大。人工智慧和機器學習正在徹底改變車隊健康監測，能夠在故障發生前檢測出劣化的模式。這可以增強決策能力，減少計劃外停機時間，並最佳化車隊資產的生命週期成本。此外，與雲端基礎的整合使該解決方案可擴展且易於跨行業使用。在巨量資料處理技術進步的推動下，人工智慧驅動的車隊分析預計將在未來幾年為服務供應商和技術供應商帶來巨大的商機。

汽車產業需求波動

汽車產業的需求波動為車隊劣化分析市場帶來了重大挑戰。全球供應鏈的轉移、燃油價格波動以及景氣衰退直接影響車輛的擴張和更換週期。當汽車銷售和租賃活動放緩時，對高級分析工具的投資也往往會下降。此外，原料供應中斷和半導體短缺已經限制了遠端資訊處理設備的供應。汽車生態系統的這種週期性特徵持續威脅著市場成長的穩定性。

COVID-19的影響：

新冠疫情對車隊劣化分析市場產生了雙重影響。最初，全球封鎖、出行減少和供應鏈中斷抑制了車輛使用和技術採用。然而，電子商務、最後一哩配送和物流韌性策略的蓬勃發展，重新點燃了對分析主導車隊管理解決方案的需求。越來越多的公司開始使用預測工具，以最大限度地減少意外故障，並確保在危機情況下的業務連續性。因此，疫情成為車隊生態系數位轉型的催化劑。

預計車隊管理部門將成為預測期內最大的部門

預計車隊管理領域將在預測期內佔據最大的市場佔有率，因為它在最佳化車隊績效和確保業務永續營運發揮關鍵作用。車隊管理解決方案可實現預測性調度、減少停機時間、燃料監控和即時彙報，所有這些都能顯著提高效率。在不斷成長的物流和運輸需求的推動下，車隊營運商越來越重視能夠簡化管理任務的整合平台。因此，該領域的市場採用率繼續佔據主導地位。

預計商業機隊部分在預測期內將以最高複合年成長率成長

受電子商務、物流和共享出行服務的快速擴張推動，商用車隊領域預計將在預測期內實現最高成長率。送貨貨車、卡車和租賃車隊對即時監控和預測性維護的需求日益成長，這加速了分析主導解決方案的採用。此外，嚴格的排放氣體和安全標準合規性也推動商業營運商採用先進技術。因此，預計該領域將在全球市場實現強勁成長。

佔比最大的地區：

預計亞太地區將在預測期內佔據最大市場佔有率，這得益於物流基礎設施的擴張、汽車保有量的上升以及政府主導的智慧交通舉措。中國、印度和日本等國家正經歷電子商務、零售和製造業領域車輛營運的激增。在快速都市化和數位轉型的推動下，該地區的車隊營運商正在採用預測分析來降低成本。強勁的需求使亞太地區成為全球市場佔有率的領導者。

複合年成長率最高的地區：

預計北美地區在預測期內的複合年成長率最高，這得益於其強勁的技術應用、發達的交通網路以及對人工智慧主導分析的大量投資。美國和加拿大在遠端資訊處理整合、巨量資料平台和先進的車輛監控系統方面處於領先地位。此外，對車輛永續性和電氣化的日益重視也加速了對預測性維護工具的需求。因此，預計北美地區在車隊劣化分析應用方面將實現最快的成長。

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  • 公司簡介
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  • 區域分類
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目錄

第1章執行摘要

第 2 章 簡介

  • 概述
  • 相關利益者
  • 分析範圍
  • 分析方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 分析方法
  • 分析材料
    • 主要研究資料
    • 二手研究資訊來源
    • 先決條件

第3章市場走勢分析

  • 驅動程式
  • 抑制因素
  • 市場機會
  • 威脅
  • 最終用戶分析
  • 新興市場
  • COVID-19的感染疾病

第4章 波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代產品的威脅
  • 新參與企業的威脅
  • 企業之間的競爭

第5章。全球車隊劣化分析市場（按類型）

  • 營運管理
    • 車輛追蹤和地理圍欄
    • 路由和調度
  • 車輛維修與診斷
  • 績效管理
    • 駕駛員管理
    • 燃料管理
  • 車隊分析和報告
  • 其他類型

6. 全球車隊劣化分析市場（依部署方法）

  • 雲
  • 本地

7. 全球船隊劣化分析市場（按船隊）

  • 商業船隊
    • 輕型商用車
    • 大型商用車
    • 飛機
    • 鐵路車輛
    • 水容器
  • 乘用車車隊
    • 搭乘用車

8. 全球車隊劣化分析市場（依最終用戶）

  • 運輸/物流
  • 零售
  • 石油和天然氣
  • 建設業
  • 政府
  • 其他最終用戶

9. 全球車隊劣化分析市場（按地區）

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第10章：主要趨勢

  • 合約、商業夥伴關係和合資企業
  • 企業合併與收購（M&A）
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第11章 公司概況

  • AT and T Inc.
  • Avrios International AG
  • Bridgestone Corp.
  • Chevin Fleet Solutions
  • Donlen Corp.
  • Element Fleet Management Corp.
  • Fleetio
  • Geotab Inc.
  • GPS Insight
  • GURTAM
  • Holman Inc.
  • MiX Telematics Ltd.
  • Motive Technologies Inc.
  • NetraDyne Inc.
  • Samsara Inc.
  • Solera Holdings LLC
  • JSC Teltonika
  • TomTom NV
  • Trimble Inc.
  • Verizon Communications Inc.
Product Code: SMRC30622

According to Stratistics MRC, the Global Fleet Degradation Analytics Market is accounted for $2.4 billion in 2025 and is expected to reach $8.4 billion by 2032 growing at a CAGR of 19% during the forecast period. Fleet Degradation Analytics is the use of advanced data science, predictive modeling, and IoT-driven telematics to monitor and forecast the wear, tear, and performance decline of transportation or equipment fleets. This approach combines real-time sensor data with historical maintenance records to predict component failure, optimize asset lifecycle management, and minimize downtime. By applying AI algorithms, organizations can make proactive repair decisions, reduce operational costs, and extend fleet longevity.

According to Grand View Research, the Fleet Degradation Analytics Market is expanding as transportation and logistics industries increasingly adopt IoT, AI, and sensor-based analytics to predict fleet degradation, optimize maintenance, reduce downtime, and manage operational expenses.

Market Dynamics:

Driver:

Rising need for fleet optimization

Rising need for fleet optimization is spurring the adoption of fleet degradation analytics, as companies seek to minimize downtime, extend vehicle lifespans, and improve overall operational efficiency. The growing use of connected vehicles, telematics, and IoT-based monitoring systems is further enabling real-time insights into asset performance. Fueled by increasing fuel costs and strict sustainability targets, businesses are prioritizing predictive solutions that reduce repair frequency and optimize routes. Consequently, demand for advanced analytics in fleet management is accelerating significantly worldwide.

Restraint:

High costs of analytics integration

High costs of analytics integration remain a major barrier to widespread adoption. The implementation of advanced predictive maintenance systems, AI-driven analytics platforms, and telematics sensors often requires substantial capital expenditure. Smaller fleet operators, in particular, face financial hurdles in adopting such solutions, as return on investment may not be immediate. Additionally, ongoing expenses related to system upgrades and training add to the burden. This cost-intensive ecosystem limits market penetration, especially in developing economies with constrained technological infrastructure.

Opportunity:

AI-driven predictive fleet analytics adoption

AI-driven predictive fleet analytics adoption presents immense potential for market growth. Artificial intelligence and machine learning are revolutionizing fleet health monitoring by detecting degradation patterns before failures occur. This enhances decision-making, reduces unplanned downtime, and optimizes lifecycle costs of fleet assets. Furthermore, integration with cloud-based platforms enables scalable and accessible solutions across industries. Spurred by advancements in big data processing, AI-enabled fleet analytics is expected to create significant opportunities for service providers and technology vendors in the years ahead.

Threat:

Volatility in automotive industry demand

Volatility in automotive industry demand poses a serious challenge to the fleet degradation analytics market. Shifts in global supply chains, fluctuating fuel prices, and economic downturns directly impact fleet expansion and replacement cycles. When vehicle sales or leasing activity slows, investments in advanced analytics tools also tend to decline. Moreover, disruptions in raw material supply and semiconductor shortages have already constrained telematics device availability. This cyclical nature of the automotive ecosystem continues to threaten the consistency of market growth.

Covid-19 Impact:

The Covid-19 pandemic had a dual impact on the fleet degradation analytics market. Initially, global lockdowns, reduced mobility, and supply chain disruptions dampened fleet usage and technology adoption. However, the surge in e-commerce, last-mile delivery, and logistics resilience strategies drove renewed demand for analytics-driven fleet management solutions. Companies increasingly turned to predictive tools to minimize unexpected breakdowns and ensure operational continuity during the crisis. As a result, the pandemic acted as a catalyst for digital transformation within the fleet ecosystem.

The operations management segment is expected to be the largest during the forecast period

The operations management segment is expected to account for the largest market share during the forecast period, owing to its critical role in optimizing fleet performance and ensuring business continuity. Operations management solutions enable predictive scheduling, downtime reduction, fuel monitoring, and real-time reporting, all of which significantly enhance efficiency. Spurred by growing logistics and transportation demands, fleet operators are increasingly prioritizing integrated platforms that streamline management tasks. Consequently, this segment continues to dominate adoption rates in the market.

The commercial fleets segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the commercial fleets segment is predicted to witness the highest growth rate, impelled by rapid expansion in e-commerce, logistics, and shared mobility services. Rising demand for real-time monitoring and predictive maintenance in delivery vans, trucks, and rental fleets is accelerating the adoption of analytics-driven solutions. Furthermore, strict regulatory compliance for emissions and safety standards is pushing commercial operators toward advanced technologies. Consequently, the segment is poised to record robust growth across global markets.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold largest market share, driven by expanding logistics infrastructure, rising vehicle ownership, and government-led smart transportation initiatives. Countries such as China, India, and Japan are witnessing exponential growth in fleet operations across e-commerce, retail, and manufacturing. Fueled by rapid urbanization and digital transformation, fleet operators in this region are embracing predictive analytics to minimize costs. This strong demand positions Asia Pacific as the global leader in market share.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR attributed to strong technological adoption, well-developed transportation networks, and significant investments in AI-driven analytics. The U.S. and Canada are leading in telematics integration, big data platforms, and advanced fleet monitoring systems. Furthermore, rising emphasis on sustainability and electrification of fleets is accelerating demand for predictive maintenance tools. Consequently, North America is expected to record the fastest expansion in fleet degradation analytics adoption.

Key players in the market

Some of the key players in Fleet Degradation Analytics Market include AT and T Inc., Avrios International AG, Bridgestone Corp., Chevin Fleet Solutions, Donlen Corp., Element Fleet Management Corp., Fleetio, Geotab Inc., GPS Insight, GURTAM, Holman Inc., MiX Telematics Ltd., Motive Technologies Inc., NetraDyne Inc., Samsara Inc., Solera Holdings LLC, JSC Teltonika, TomTom NV, Trimble Inc. and Verizon Communications Inc.

Key Developments:

In August 2025, AT&T Inc. introduced enhanced telematics connectivity solutions aimed at improving real-time fleet monitoring accuracy and bandwidth, enabling lower latency data transfer for advanced analytics in commercial fleets.

In July 2025, Avrios International AG rolled out an AI-powered fleet management platform update, integrating predictive maintenance analytics and automated compliance tracking to optimize fleet uptime and reduce operational costs.

In June 2025, Bridgestone Corp. launched new tire health monitoring technology embedded with sensors that provide real-time degradation analytics to fleet operators, improving safety and maintenance scheduling.

Types Covered:

  • Operations Management
  • Vehicle Maintenance & Diagnostics
  • Performance Management
  • Fleet Analytics & Reporting
  • Other Types

Deployments Covered:

  • Cloud
  • On-premises

Fleets Covered:

  • Commercial Fleets
  • Passenger Car Fleets

End Users Covered:

  • Transportation & Logistics
  • Retail
  • Oil & Gas
  • Construction
  • Government
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 End User Analysis
  • 3.7 Emerging Markets
  • 3.8 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Fleet Degradation Analytics Market, By Type

  • 5.1 Introduction
  • 5.2 Operations Management
    • 5.2.1 Fleet Tracking & Geo-fencing
    • 5.2.2 Routing & Scheduling
  • 5.3 Vehicle Maintenance & Diagnostics
  • 5.4 Performance Management
    • 5.4.1 Driver Management
    • 5.4.2 Fuel Management
  • 5.5 Fleet Analytics & Reporting
  • 5.6 Other Types

6 Global Fleet Degradation Analytics Market, By Deployment

  • 6.1 Introduction
  • 6.2 Cloud
  • 6.3 On-premises

7 Global Fleet Degradation Analytics Market, By Fleet

  • 7.1 Introduction
  • 7.2 Commercial Fleets
    • 7.2.1 Light Commercial Vehicles
    • 7.2.2 Heavy Commercial Vehicles
    • 7.2.3 Aircraft
    • 7.2.4 Railway Vehicles
    • 7.2.5 Watercraft
  • 7.3 Passenger Car Fleets
    • 7.3.1 Private Passenger Cars

8 Global Fleet Degradation Analytics Market, By End User

  • 8.1 Introduction
  • 8.2 Transportation & Logistics
  • 8.3 Retail
  • 8.4 Oil & Gas
  • 8.5 Construction
  • 8.6 Government
  • 8.7 Other End Users

9 Global Fleet Degradation Analytics Market, By Geography

  • 9.1 Introduction
  • 9.2 North America
    • 9.2.1 US
    • 9.2.2 Canada
    • 9.2.3 Mexico
  • 9.3 Europe
    • 9.3.1 Germany
    • 9.3.2 UK
    • 9.3.3 Italy
    • 9.3.4 France
    • 9.3.5 Spain
    • 9.3.6 Rest of Europe
  • 9.4 Asia Pacific
    • 9.4.1 Japan
    • 9.4.2 China
    • 9.4.3 India
    • 9.4.4 Australia
    • 9.4.5 New Zealand
    • 9.4.6 South Korea
    • 9.4.7 Rest of Asia Pacific
  • 9.5 South America
    • 9.5.1 Argentina
    • 9.5.2 Brazil
    • 9.5.3 Chile
    • 9.5.4 Rest of South America
  • 9.6 Middle East & Africa
    • 9.6.1 Saudi Arabia
    • 9.6.2 UAE
    • 9.6.3 Qatar
    • 9.6.4 South Africa
    • 9.6.5 Rest of Middle East & Africa

10 Key Developments

  • 10.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 10.2 Acquisitions & Mergers
  • 10.3 New Product Launch
  • 10.4 Expansions
  • 10.5 Other Key Strategies

11 Company Profiling

  • 11.1 AT and T Inc.
  • 11.2 Avrios International AG
  • 11.3 Bridgestone Corp.
  • 11.4 Chevin Fleet Solutions
  • 11.5 Donlen Corp.
  • 11.6 Element Fleet Management Corp.
  • 11.7 Fleetio
  • 11.8 Geotab Inc.
  • 11.9 GPS Insight
  • 11.10 GURTAM
  • 11.11 Holman Inc.
  • 11.12 MiX Telematics Ltd.
  • 11.13 Motive Technologies Inc.
  • 11.14 NetraDyne Inc.
  • 11.15 Samsara Inc.
  • 11.16 Solera Holdings LLC
  • 11.17 JSC Teltonika
  • 11.18 TomTom NV
  • 11.19 Trimble Inc.
  • 11.20 Verizon Communications Inc.

List of Tables

  • Table 1 Global Fleet Degradation Analytics Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Fleet Degradation Analytics Market Outlook, By Type (2024-2032) ($MN)
  • Table 3 Global Fleet Degradation Analytics Market Outlook, By Operations Management (2024-2032) ($MN)
  • Table 4 Global Fleet Degradation Analytics Market Outlook, By Fleet Tracking & Geo-fencing (2024-2032) ($MN)
  • Table 5 Global Fleet Degradation Analytics Market Outlook, By Routing & Scheduling (2024-2032) ($MN)
  • Table 6 Global Fleet Degradation Analytics Market Outlook, By Vehicle Maintenance & Diagnostics (2024-2032) ($MN)
  • Table 7 Global Fleet Degradation Analytics Market Outlook, By Performance Management (2024-2032) ($MN)
  • Table 8 Global Fleet Degradation Analytics Market Outlook, By Driver Management (2024-2032) ($MN)
  • Table 9 Global Fleet Degradation Analytics Market Outlook, By Fuel Management (2024-2032) ($MN)
  • Table 10 Global Fleet Degradation Analytics Market Outlook, By Fleet Analytics & Reporting (2024-2032) ($MN)
  • Table 11 Global Fleet Degradation Analytics Market Outlook, By Other Types (2024-2032) ($MN)
  • Table 12 Global Fleet Degradation Analytics Market Outlook, By Deployment (2024-2032) ($MN)
  • Table 13 Global Fleet Degradation Analytics Market Outlook, By Cloud (2024-2032) ($MN)
  • Table 14 Global Fleet Degradation Analytics Market Outlook, By On-premises (2024-2032) ($MN)
  • Table 15 Global Fleet Degradation Analytics Market Outlook, By Fleet (2024-2032) ($MN)
  • Table 16 Global Fleet Degradation Analytics Market Outlook, By Commercial Fleets (2024-2032) ($MN)
  • Table 17 Global Fleet Degradation Analytics Market Outlook, By Light Commercial Vehicles (2024-2032) ($MN)
  • Table 18 Global Fleet Degradation Analytics Market Outlook, By Heavy Commercial Vehicles (2024-2032) ($MN)
  • Table 19 Global Fleet Degradation Analytics Market Outlook, By Aircraft (2024-2032) ($MN)
  • Table 20 Global Fleet Degradation Analytics Market Outlook, By Railway Vehicles (2024-2032) ($MN)
  • Table 21 Global Fleet Degradation Analytics Market Outlook, By Watercraft (2024-2032) ($MN)
  • Table 22 Global Fleet Degradation Analytics Market Outlook, By Passenger Car Fleets (2024-2032) ($MN)
  • Table 23 Global Fleet Degradation Analytics Market Outlook, By Private Passenger Cars (2024-2032) ($MN)
  • Table 24 Global Fleet Degradation Analytics Market Outlook, By End User (2024-2032) ($MN)
  • Table 25 Global Fleet Degradation Analytics Market Outlook, By Transportation & Logistics (2024-2032) ($MN)
  • Table 26 Global Fleet Degradation Analytics Market Outlook, By Retail (2024-2032) ($MN)
  • Table 27 Global Fleet Degradation Analytics Market Outlook, By Oil & Gas (2024-2032) ($MN)
  • Table 28 Global Fleet Degradation Analytics Market Outlook, By Construction (2024-2032) ($MN)
  • Table 29 Global Fleet Degradation Analytics Market Outlook, By Government (2024-2032) ($MN)
  • Table 30 Global Fleet Degradation Analytics Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.