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輸送アナリティクスの世界市場規模：分析タイプ別、展開モード別、用途別、地域別、範囲および予測

Global Transportation Analytics Market Size By Analytics Type, By Deployment Mode, By Application, By Geographic Scope And Forecast

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英文 202 Pages
納期
2～3営業日
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輸送アナリティクスの世界市場規模：分析タイプ別、展開モード別、用途別、地域別、範囲および予測
出版日: 2025年05月02日
発行: Verified Market Research
ページ情報: 英文 202 Pages
納期: 2～3営業日
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概要

輸送アナリティクスの市場規模と予測

輸送アナリティクス市場規模は、2024年に152億1,000万米ドルと評価され、2026年から2032年にかけて18.80%のCAGRで成長し、2032年には535億6,000万米ドルに達すると予測されます。

  • 運輸分析とは、運輸システムと運行を最適化し改善するためのデータと分析アプローチの応用です。これには、交通インフラ、車両性能、交通パターン、乗客の行動に関するデータの収集、処理、分析が含まれます。輸送アナリティクスは、GPSモニタリング、センサー、過去の記録など、さまざまなデータソースを活用することで、パターンの特定、需要予測、交通ネットワークの効率性評価を支援します。この調査は、運行効率を改善し、コストを削減し、交通システムの安全性と信頼性を高めるための賢明な意思決定を支援します。
  • 輸送分析は、ルート計画、交通管理、車両最適化、公共交通機関のスケジューリングなど、いくつかの目的に使用できます。配送トラックのルートを最適化して燃料消費と移動時間を節約したり、交通渋滞のピークを予測して渋滞管理に役立てたりすることができます。輸送アナリティクスは、機械学習や予測モデリングなどの最新の技術を使用して、戦略的計画と運用の修正をサポートする重要な洞察を提供し、最終的にはより持続可能で効率的な輸送ソリューションにつながります。

輸送アナリティクスの世界市場力学

主な市場促進要因

  • 都市化とスマートシティへの取り組み：都市人口の急速な増加により、効率的な交通網が必要とされています。国連によると、2050年までに世界人口の68%が都市部に居住すると予想されています。この都市化の動向は、都市にスマート交通システムの導入を促し、輸送アナリティクス市場を押し上げています。
  • 高度道路交通システム（ITS）に対する政府の取り組み：世界中の政府は、交通安全と交通の流れを改善するため、インテリジェント交通システムに投資しています。米国運輸省のStrengthening Mobility and Revolutionizing Transportation（SMART）補助金プログラムは、2021年に1億6,000万米ドルをスマート交通イニシアティブに提供する予定です。こうした活動により、交通分析システムの利用が増加することが期待されます。
  • eコマースとラストマイル・デリバリーの成長：eコマース市場の隆盛により、配送ルートを最適化し効率を高めるための輸送アナリティクスの需要が高まっています。米国国勢調査局によると、米国のeコマース売上は2021年に8,708億米ドルに達し、2020年から14.2%増加します。この拡大により、ロジスティクス企業は高度なアナリティクスを利用してルート計画とリソース配分を改善する必要に迫られています。

主な課題

  • データの統合：輸送アナリティクスにおける重要な問題の1つは、GPS、センサー、交通カメラなど、さまざまなソースからのデータを統合することです。これらのソースは様々なフォーマットや標準を頻繁に使用するため、首尾一貫したデータセットをコンパイルすることが困難です。一貫性のないデータや断片的なデータでは、信頼性の高い分析や意思決定が困難になる可能性があります。効果的なデータ統合には、複数のデータソースを調和させ、分析が完全で首尾一貫した情報に基づいて行われるようにする強力なシステムが必要です。適切な統合が行われなければ、結果として得られる洞察は部分的であったり、欺瞞的であったりする可能性があり、輸送管理戦略の全体的な有効性を低下させる。
  • データのプライバシーとセキュリティ：運輸アナリティクスには、乗客の個人データや運行に関する機密情報など、機密性の高い情報が含まれることがよくあります。このデータのプライバシーとセキュリティを確保することは大きな課題です。不正アクセスや侵害を避けるために、組織は厳格なデータ保護手順を導入する必要があります。GDPRやCCPAのような規制への準拠は、データの有用性とプライバシーのバランスを取るのと同様に、複雑さを増しています。データの保護に失敗すると、法的な影響、社会的信用の失墜、潜在的な金銭的損失が生じる可能性があり、輸送アナリティクスにおける強力なサイバーセキュリティフレームワークの重要性が強調されます。
  • データの品質と正確性：輸送アナリティクスの有用性は、得られたデータの品質と精度に強く依存します。間違い、矛盾、不完全な情報など、データの質が低いと、分析結果が不正確になる可能性があります。高いデータ品質には、厳密なデータ収集方法、検証プロセス、継続的なモニタリングが必要です。アナリティクスが正確な洞察を与え、効果的な意思決定を支援することを保証するために、組織は品質管理手順を導入し、データの問題に迅速に対応する必要があります。不正確なデータは、不正確な結論と効果のない解決策をもたらし、アナリティクスの価値を低下させます。

主な動向

  • AIと機械学習の統合：予測分析を改善し、輸送ルートを最適化するために、AIと機械学習の活用が進んでいます。これらのテクノロジーは、より正確な予測とリアルタイムの修正を可能にし、効率と意思決定を改善します。
  • 自律走行車の台頭：自律走行車の進化に伴い、その運行を制御・最適化するための高度な分析がより必要とされています。自律走行車からのデータは、ルート設計や交通管理に役立ちます。
  • IoTデバイスの利用の増加：モノのインターネット（IoT）デバイスは、車両性能、道路状況、交通の流れに関する正確なデータを収集するために普及が進んでおり、交通システムを強化するための重要な洞察を提供しています。
  • スマートシティへの取り組み：輸送アナリティクスとスマートシティインフラの統合は、ますます普及しています。これには、都市モビリティの向上、交通渋滞の緩和、都市計画全般の改善にデータを活用することが含まれます。

目次

第1章 イントロダクション

  • 市場の定義
  • 市場セグメンテーション
  • 調査手法

第2章 エグゼクティブサマリー

  • 主な調査結果
  • 市場概要
  • 市場ハイライト

第3章 市場概要

  • 市場規模と成長の可能性
  • 市場動向
  • 市場促進要因
  • 市場抑制要因
  • 市場機会
  • ポーターのファイブフォース分析

第4章 輸送アナリティクス市場：分析タイプ別

  • 記述型
  • 予知的
  • 処方的
  • 診断的

第5章 輸送アナリティクス市場：展開モード別

  • オンプレミス
  • クラウドベース
  • ハイブリッド

第6章 輸送アナリティクス市場：用途別

  • 交通管理
  • フリート管理
  • サプライチェーン管理
  • 公共交通機関
  • インフラ管理

第7章 地域分析

  • 北米
  • 米国
  • カナダ
  • メキシコ
  • 欧州
  • 英国
  • ドイツ
  • フランス
  • イタリア
  • アジア太平洋
  • 中国
  • 日本
  • インド
  • オーストラリア
  • ラテンアメリカ
  • ブラジル
  • アルゼンチン
  • チリ
  • 中東・アフリカ
  • 南アフリカ
  • サウジアラビア
  • アラブ首長国連邦

第8章 市場力学

  • 市場促進要因
  • 市場抑制要因
  • 市場機会
  • COVID-19の市場への影響

第9章 競合情勢

  • 主要企業
  • 市場シェア分析

第10章 企業プロファイル

  • Cellint
  • Cubic Corporation
  • Iteris Inc.
  • Deltion Ltd.
  • Hitachi Ltd.
  • Garmin Ltd.
  • IBM
  • Inrix Inc.
  • TomTom International B.V.
  • Oracle
  • Ryder Systems Inc.
  • Envista LLC
  • Syntelic Solutions Corporation
  • Trimble Inc.
  • SmartDrive Systems Inc.
  • KEWILL INDIA PRIVATE LIMITED
  • Qualcomm Technologies Inc.
  • Traffic Master
  • Thales Group
  • Kapsch Ag
  • Decawave

第11章 市場の展望と機会

  • 新興技術
  • 今後の市場動向
  • 投資機会

第12章 付録

  • 略語リスト
  • 出典と参考文献
目次
Product Code: 35576

Transportation Analytics Market Size And Forecast

Transportation Analytics Market size was valued at USD 15.21 Billion in 2024 and is projected to reach USD 53.56 Billion by 2032, growing at a CAGR of 18.80% from 2026-2032.

  • Transportation analytics is the application of data and analytical approaches to optimize and improve transportation systems and operations. It includes the collecting, processing, and analysis of data on transportation infrastructure, vehicle performance, traffic patterns, and passenger behavior. Transportation analytics assists in identifying patterns, forecasting demand, and evaluating the efficiency of transportation networks by leveraging a variety of data sources, including GPS monitoring, sensors, and historical records. This research assists in making educated decisions to improve operational efficiency, lower costs, and increase safety and dependability in transportation systems.
  • Transportation analytics can be used for several purposes, including route planning, traffic management, fleet optimization, and public transportation scheduling. It can aid in optimizing delivery truck routes to save fuel consumption and travel time, as well as predict peak traffic periods to help manage congestion. Transportation analytics uses modern techniques such as machine learning and predictive modeling to supply important insights that support strategic planning and operational modifications, ultimately leading to more sustainable and efficient transportation solutions.

Global Transportation Analytics Market Dynamics

The key market dynamics that are shaping the global transportation analytics market include:

Key Market Drivers:

  • Urbanization and Smart City Initiatives: The fast rise of urban populations necessitates efficient transportation networks. According to the United Nations, 68% of the world's population is expected to reside in cities by 2050. This urbanization trend is driving cities to adopt smart transportation systems, hence boosting the transportation analytics market.
  • Government Initiatives for Intelligent Transportation Systems (ITS): Governments throughout the world are investing in intelligent transportation systems to improve road safety and traffic flow. The U.S. Department of Transportation's Strengthening Mobility and Revolutionizing Transportation (SMART) grants program will provide $160 million for smart transportation initiatives in 2021. These activities are expected to increase the usage of transportation analytics systems.
  • Growth in E-commerce and Last-Mile Delivery: The thriving e-commerce market is increasing demand for transportation analytics to optimize delivery routes and boost efficiency. According to the United States Census Bureau, e-commerce sales in the United States will reach $870.8 billion in 2021, a 14.2% increase from 2020. This expansion is driving logistics organizations to use advanced analytics to improve route planning and resource allocation.

Key Challenges:

  • Data Integration: One important problem in transportation analytics is combining data from a variety of sources, including GPS, sensors, and traffic cameras. These sources frequently use various formats and standards, making it difficult to compile a coherent dataset. Inconsistent or fragmented data might make it difficult to conduct reliable analysis and make decisions. Effective data integration necessitates strong systems that can harmonize multiple data sources, ensuring that analytics are based on complete and coherent information. Without proper integration, the resulting insights may be partial or deceptive, reducing the overall effectiveness of transportation management strategies.
  • Data Privacy and Security: Transportation analytics frequently entail sensitive information, such as passenger personal data and confidential operating details. Ensuring the privacy and security of this data presents a big challenge. To avoid unauthorized access and breaches, organizations must put in place strict data protection procedures. Compliance with regulations like GDPR and CCPA adds complexity, as does balancing data utility and privacy. Failure to safeguard data can result in legal implications, loss of public trust, and potential financial losses, emphasizing the importance of strong cybersecurity frameworks in transportation analytics.
  • Data Quality and Accuracy: The usefulness of transportation analytics is strongly dependent on the quality and accuracy of the obtained data. Poor data quality, such as mistakes, inconsistencies, or incomplete information, might result in inaccurate analytics results. High data quality necessitates rigorous data-gathering methods, validation processes, and ongoing monitoring. To guarantee that analytics give accurate insights and assist effective decision-making, organizations must implement quality control procedures and respond quickly to data issues. Inaccurate data can result in inaccurate conclusions and ineffective solutions, reducing the value of analytics.

Key Trends:

  • Integration of AI and Machine Learning: AI and machine learning are increasingly being utilized to improve predictive analytics and optimize transportation routes. These technologies allow for more precise projections and real-time modifications, which improve efficiency and decision-making.
  • Rise of Autonomous Vehicles: As autonomous vehicles evolve, there is a greater necessity for advanced analytics to control and optimize their operations. Data from these cars helps with route design and traffic management.
  • Increasing Use of IoT Devices: Internet of Things (IoT) devices are becoming increasingly popular for gathering precise data on vehicle performance, road conditions, and traffic flow, which provides significant insights for enhancing transportation systems.
  • Smart City Initiatives: The integration of transportation analytics with smart city infrastructure is becoming increasingly popular. This includes using data to improve urban mobility, reduce traffic congestion, and improve overall city planning.

Global Transportation Analytics Market Regional Analysis

Here is a more detailed regional analysis of the global transportation analytics market:

North America:

  • North America continues to lead the transportation analytics market due to its excellent technology infrastructure and significant focus on transportation innovation. The region's dedication to smart city efforts and considerable investments in updating transportation systems have resulted in a thriving ecosystem for analytics-driven solutions. According to the U.S. Department of Transportation's "Transportation Statistics Annual Report 2023," the transportation sector accounts for over 9% of the US GDP and employs over 13 million Americans. This emphasizes the sector's size and the vital role analytics can play in improving personnel efficiency and maximizing economic output.
  • The implementation of Intelligent Transportation Systems (ITS) has been a primary driver of market expansion in North America. The ITS Joint Program Office indicates that over $4 billion has been invested in ITS projects since 2016, with a projected market value of $33.6 billion by 2025, demonstrating the growing emphasis on data-driven decision-making.
  • Traffic congestion difficulties underscore the need for advanced analytics, with the 2022 Urban Mobility Report estimating that U.S. commuters waste 51 hours and $869 per year due to congestion. Furthermore, the rise in e-commerce, with online sales accounting for 15.4% of total retail sales in Q2 2023, has increased the demand for analytics in last-mile delivery optimization, driving future market expansion.

Asia Pacific:

  • The Asia Pacific Region's Transportation Analytics market is expanding rapidly, owing to urbanization, traffic congestion, and a thriving e-commerce sector. The United Nations Economic and Social Commission for Asia and the Pacific (UNESCAP) expects the region's urban population to grow from 2.3 billion in 2020 to 3.5 billion by 2050, needing more efficient transportation infrastructure. This trend is driving up demand for analytics-based solutions. Traffic congestion is a major issue, with cities such as Mumbai and Bangkok among the most congested in the world, causing drivers to waste significant time each year. This issue demonstrates the critical necessity for advanced analytics to successfully manage traffic.
  • The e-commerce boom is also fueling demand for transportation analytics. The Southeast Asian e-commerce sector is estimated to reach $234 billion by 2025, forcing logistics companies to use sophisticated analytics techniques to optimize routes and improve delivery efficiency. Government initiatives, such as China's emphasis on smart transportation systems and India's Smart Cities Mission, which includes a slew of smart transportation projects, help to drive this expansion.

Global Transportation Analytics Market: Segmentation Analysis

The Global Transportation Analytics Market is Segmented on the basis of Analytics Type, Deployment Mode, Application, And Geography.

Transportation Analytics Market, By Analytics Type

  • Descriptive
  • Predictive
  • Prescriptive
  • Diagnostic

Based on Analytics Type, the market is fragmented into Descriptive, Predictive, Prescriptive, and Diagnostic. Descriptive analytics now leads the transportation analytics market, offering useful insights into historical transportation data. This portion is critical for understanding traffic patterns, passenger behavior, and operational efficiency. The predictive analytics segment is enjoying the most rapid growth. Predictive models may estimate future patterns based on historical data, allowing transportation businesses to foresee issues, optimize resource allocation, and make proactive decisions to increase efficiency and service quality.

Transportation Analytics Market, By Deployment Mode

  • On-Premises
  • Cloud-Based
  • Hybrid

Based on Deployment Mode, the market is segmented into On-Premises, Cloud-Based, and Hybrid. Cloud-based deployment is now dominating the transportation analytics market due to its scalability, cost-effectiveness, and accessibility. It enables transportation firms to use strong analytics technologies without making big upfront costs. However, the hybrid deployment paradigm is rapidly expanding as businesses seek to balance the advantages of cloud flexibility with the security and management of on-premises solutions. This method enables enterprises to store sensitive data on-premises while processing and gaining insights from cloud-based analytics.

Transportation Analytics Market, By Application

  • Traffic Management
  • Fleet Management
  • Supply Chain Management
  • Public Transportation
  • Infrastructure Management

Based on Application, the market is segmented into Traffic Management, Fleet Management, Supply Chain Management, Public Transportation, and Infrastructure Management. Traffic management is now the leading segment in the transportation analytics market, tackling crucial issues such as congestion, safety, and environmental impact. However, fleet management is the fastest-growing category, owing to a growing emphasis on optimizing vehicle performance, lowering operational costs, and increasing driver safety. Telematics and IoT device advancements are pushing the adoption of fleet management analytics systems, which allow for real-time tracking, predictive maintenance, and fuel efficiency optimization.

Transportation Analytics Market, By Geography

  • North America
  • Europe
  • Asia Pacific
  • Rest of the World
  • On the basis of Geography, the Global Transportation Analytics Market is classified into North America, Europe, Asia Pacific, and the Rest of the World. North America now dominates the transportation analytics market, due to early technology adoption, strong infrastructure, and tight regulations. This region boasts a robust ecosystem of analytics suppliers and end consumers. Asia Pacific, on the other hand, is expanding at the quickest rate due to rapid urbanization, increased traffic congestion, and considerable government investments in smart city initiatives. This region has enormous potential for transportation analytics solutions to handle its increasing mobility concerns.

Key Players

The "Global Transportation Analytics Market" study report will provide valuable insight with an emphasis on the global market. The major players in the market are Cellint, Cubic Corporation, Iteris, Inc., Deltion, Ltd., Hitachi Ltd., Garmin, Ltd., IBM, Inrix, Inc., TomTom International B.V., Oracle, Ryder Systems, Inc., Envista LLC, Syntelic Solutions Corporation, Trimble, Inc., SmartDrive Systems, Inc., KEWILL INDIA PRIVATE LIMITED, Qualcomm Technologies, Inc., Traffic Master, Thales Group, Kapsch Ag , and Decawave. The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.

Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.

  • Transportation Analytics Market Recent Developments
  • In September 2023, 3SC Solutions will deploy an advanced transport management solution. TMS is a comprehensive transportation management solution that employs artificial intelligence and data analytics.
  • In October 2023, IBM implemented a cognitive supply chain resulting in a 100% order fulfillment rate and a USD 160 million reduction in supply chain expenditures during a period of unprecedented disruption.
  • In May 2022, as part of the "Make in India" campaign, the Airports Authority of India (AAI) reached a critical milestone by forming a cooperation with Bharat Electronics Limited (BEL), a Navratna Defence Public Sector Undertaking. This collaboration aims to collaboratively develop indigenous solutions for air traffic control and aircraft surface movement at airports throughout the country.

TABLE OF CONTENTS

1. Introduction

  • Market Definition
  • Market Segmentation
  • Research Methodology

2. Executive Summary

  • Key Findings
  • Market Overview
  • Market Highlights

3. Market Overview

  • Market Size and Growth Potential
  • Market Trends
  • Market Drivers
  • Market Restraints
  • Market Opportunities
  • Porter's Five Forces Analysis

4. Transportation Analytics Market, By Analytics Type

  • Descriptive
  • Predictive
  • Prescriptive
  • Diagnostic

5. Transportation Analytics Market, By Deployment Mode

  • On-Premises
  • Cloud-Based
  • Hybrid

6. Transportation Analytics Market, By Application

  • Traffic Management
  • Fleet Management
  • Supply Chain Management
  • Public Transportation
  • Infrastructure Management

7. Regional Analysis

  • North America
  • United States
  • Canada
  • Mexico
  • Europe
  • United Kingdom
  • Germany
  • France
  • Italy
  • Asia-Pacific
  • China
  • Japan
  • India
  • Australia
  • Latin America
  • Brazil
  • Argentina
  • Chile
  • Middle East and Africa
  • South Africa
  • Saudi Arabia
  • UAE

8. Market Dynamics

  • Market Drivers
  • Market Restraints
  • Market Opportunities
  • Impact of COVID-19 on the Market

9. Competitive Landscape

  • Key Players
  • Market Share Analysis

10. Company Profiles

  • Cellint
  • Cubic Corporation
  • Iteris Inc.
  • Deltion Ltd.
  • Hitachi Ltd.
  • Garmin Ltd.
  • IBM
  • Inrix Inc.
  • TomTom International B.V.
  • Oracle
  • Ryder Systems Inc.
  • Envista LLC
  • Syntelic Solutions Corporation
  • Trimble Inc.
  • SmartDrive Systems Inc.
  • KEWILL INDIA PRIVATE LIMITED
  • Qualcomm Technologies Inc.
  • Traffic Master
  • Thales Group
  • Kapsch Ag
  • Decawave

11. Market Outlook and Opportunities

  • Emerging Technologies
  • Future Market Trends
  • Investment Opportunities

12. Appendix

  • List of Abbreviations
  • Sources and References