Transportation Analytics Market Size, Share & Analysis Report, 2023-2032
The global transportation analytics market size was exhibited at USD 15.59 billion in 2022 and is projected to hit around USD 71.18 billion by 2032, growing at a CAGR of 16.50% during the forecast period 2023 to 2032.
Key Pointers:
Transportation Analytics Market Report Scope
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Report Coverage |
Details |
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Market Size in 2023 |
USD 18.16 Billion |
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Market Size by 2032 |
USD 71.18 Billion |
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Growth Rate From 2023 to 2032 |
CAGR of 16.50% |
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Base Year |
2022 |
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Forecast Period |
2023 to 2032 |
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Segments Covered |
By Type, By Deployment Mode and By Application |
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Market Analysis (Terms Used) |
Value (US$ Million/Billion) or (Volume/Units) |
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Regional Scope |
North America; Europe; Asia Pacific; Central and South America; the Middle East and Africa |
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Key Companies Profiled |
Cubic Corporation, IBM Corporation, Oracle Corporation, SisenseInc., CellintCorporation, Inrix Corporation, Hitachi Ltd., AlteryxInc., OmnitracsLLC, SmartDrive Systems Inc. and Others. |
The transportation analytics deals with the immense amount of route data within distribution operation. Regardless of the size, it can guide to better business decisions that will ultimately benefit the operation. In addition, transportation analytics provides valuable metrics throughout all stages of the delivery process. It not only helps to learn about the company’s weakest and strongest points but also provides solid reports and deliverables, so the organization can share with clients. Such advantages provide lucrative opportunities for the market growth.
Furthermore, big data analytics is heavily used in supply chain management to evaluate operational hazards, improve communication, secure proprietary data, and improve supply chain accessibility. This data is used by industries in a variety of ways, including predictive analytics and the creation of more efficient cloud-based platforms. Data mining, statistics, and machine learning are used in predictive analytics to assess future supply demands, inventory, and customer behavior. Companies use predictive analytics and machine learning to forecast future physical hazards in the supply chain and financial, customer, and other operational risks, thus propelling the growth of the market.
The emerging transportation analytics trends meet the growing demand for autonomous operations, digitalization, and sustainability. The industry is increasingly adopting driverless vehicles. Startups develop semi and fully autonomous cars with advanced driver-assistance systems (ADAS), light detection and ranging (LIDAR), and computer vision. Drones, robots, and driverless trucks enable autonomous last-mile deliveries. Large-scale electrification solutions are accelerating the development of charging infrastructure and innovative batteries. Other transportation trends include innovative solutions that utilize artificial intelligence (AI), the internet of things (IoT), and blockchain deployed to optimize supply chain management. In addition, businesses explore ways to automate logistic operations by adopting transport analytics solution & services, which drive the growth of the market. In addition, trends such as mobility-as-a-service (MaaS), and smart shipping also find numerous applications in the transportation industry. The focus is to not only improve the overall efficiency of transport operations but also to reach the ultimate goal of sustainability with minimum pollution. Thus, this provides lucrative opportunities for the market growth during the forecast period.
Embracing advanced digital solutions in logistics and transportation industry can improve the operational efficiencies and transparency in the sector by revamping existing business and creating a proactive business model. New-age digital logistics and transportation trends such as implementing technologies like artificial intelligence (AI), machine learning (ML), internet of things (IOT), big data, and blockchain will help businesses to keep pace with brimming competition. Many organizations have now been benefited by implementing ML and AI in transportation industry which have helped them to gain a competitive edge over other players. Through these advanced technologies company can identify patterns and generate insights into the logistics and transportation process which is also useful for predictive network management. These trends provide with real-time data and an unmatched level of transparency throughout the supply chain so that businesses can make informed decisions and enhance the customer experience. Such trends propel the growth of the market during the forecast period.
Optimizing the logistics and transportation network to handle last-mile deliveries is necessary for the business growth. With more autonomy and capabilities in the vehicles, organization can make the logistics operations cheaper, quicker, and safer. Advent of drones and autonomous vehicles is known to be the next generation of logistics business models. Drones can reduce the complex tasks by keeping the check on inventory. Whereas automated vehicles can enhance the driving tasks without human intervention. Therefore, these technologies tend to work for transporting goods between warehouses, eliminating the driving task, inventory counting inside large warehouses, and so on. Embracing new-age digital logistics trends can improve the operations and customer experience, thus driving the growth of the market.
Some of the prominent players in the Transportation Analytics Market include:
Segments Covered in the Report
This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2018 to 2032. For this study, Nova one advisor, Inc. has segmented the global Transportation Analytics market.
By Type
By Deployment Mode
By Application
By Region
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Channel Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. COVID 19 Impact on Transportation Analytics Market
5.1. COVID-19 Landscape: Transportation Analytics Industry Impact
5.2. COVID 19 - Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
Chapter 6. Market Dynamics Analysis and Trends
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
Chapter 7. Competitive Landscape
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
Chapter 8. Global Transportation Analytics Market, By Type
8.1. Transportation Analytics Market, by Type, 2023-2032
8.1.1 Descriptive Analytics
8.1.1.1. Market Revenue and Forecast (2020-2032)
8.1.2. Predictive Analytics
8.1.2.1. Market Revenue and Forecast (2020-2032)
8.1.3. Prescriptive Analytics
8.1.3.1. Market Revenue and Forecast (2020-2032)
Chapter 9. Global Transportation Analytics Market, By Deployment Mode
9.1. Transportation Analytics Market, by Deployment Mode, 2023-2032
9.1.1. On-premise
9.1.1.1. Market Revenue and Forecast (2020-2032)
9.1.2. Cloud
9.1.2.1. Market Revenue and Forecast (2020-2032)
9.1.3. Hybrid
9.1.3.1. Market Revenue and Forecast (2020-2032)
Chapter 10. Global Transportation Analytics Market, By Application
10.1. Transportation Analytics Market, by Application, 2023-2032
10.1.1. Logistics Management
10.1.1.1. Market Revenue and Forecast (2020-2032)
10.1.2. Traffic Management
10.1.2.1. Market Revenue and Forecast (2020-2032)
10.1.3. Planning & Maintenance
10.1.3.1. Market Revenue and Forecast (2020-2032)
10.1.4. Others
10.1.4.1. Market Revenue and Forecast (2020-2032)
Chapter 11. Global Transportation Analytics Market, Regional Estimates and Trend Forecast
11.1. North America
11.1.1. Market Revenue and Forecast, by Type (2020-2032)
11.1.2. Market Revenue and Forecast, by Deployment Mode (2020-2032)
11.1.3. Market Revenue and Forecast, by Application (2020-2032)
11.1.4. U.S.
11.1.4.1. Market Revenue and Forecast, by Type (2020-2032)
11.1.4.2. Market Revenue and Forecast, by Deployment Mode (2020-2032)
11.1.4.3. Market Revenue and Forecast, by Application (2020-2032)
11.1.5. Rest of North America
11.1.5.1. Market Revenue and Forecast, by Type (2020-2032)
11.1.5.2. Market Revenue and Forecast, by Deployment Mode (2020-2032)
11.1.5.3. Market Revenue and Forecast, by Application (2020-2032)
11.2. Europe
11.2.1. Market Revenue and Forecast, by Type (2020-2032)
11.2.2. Market Revenue and Forecast, by Deployment Mode (2020-2032)
11.2.3. Market Revenue and Forecast, by Application (2020-2032)
11.2.4. UK
11.2.4.1. Market Revenue and Forecast, by Type (2020-2032)
11.2.4.2. Market Revenue and Forecast, by Deployment Mode (2020-2032)
11.2.4.3. Market Revenue and Forecast, by Application (2020-2032)
11.2.5. Germany
11.2.5.1. Market Revenue and Forecast, by Type (2020-2032)
11.2.5.2. Market Revenue and Forecast, by Deployment Mode (2020-2032)
11.2.5.3. Market Revenue and Forecast, by Application (2020-2032)
11.2.6. France
11.2.6.1. Market Revenue and Forecast, by Type (2020-2032)
11.2.6.2. Market Revenue and Forecast, by Deployment Mode (2020-2032)
11.2.6.3. Market Revenue and Forecast, by Application (2020-2032)
11.2.7. Rest of Europe
11.2.7.1. Market Revenue and Forecast, by Type (2020-2032)
11.2.7.2. Market Revenue and Forecast, by Deployment Mode (2020-2032)
11.2.7.3. Market Revenue and Forecast, by Application (2020-2032)
11.3. APAC
11.3.1. Market Revenue and Forecast, by Type (2020-2032)
11.3.2. Market Revenue and Forecast, by Deployment Mode (2020-2032)
11.3.3. Market Revenue and Forecast, by Application (2020-2032)
11.3.4. India
11.3.4.1. Market Revenue and Forecast, by Type (2020-2032)
11.3.4.2. Market Revenue and Forecast, by Deployment Mode (2020-2032)
11.3.4.3. Market Revenue and Forecast, by Application (2020-2032)
11.3.5. China
11.3.5.1. Market Revenue and Forecast, by Type (2020-2032)
11.3.5.2. Market Revenue and Forecast, by Deployment Mode (2020-2032)
11.3.5.3. Market Revenue and Forecast, by Application (2020-2032)
11.3.6. Japan
11.3.6.1. Market Revenue and Forecast, by Type (2020-2032)
11.3.6.2. Market Revenue and Forecast, by Deployment Mode (2020-2032)
11.3.6.3. Market Revenue and Forecast, by Application (2020-2032)
11.3.7. Rest of APAC
11.3.7.1. Market Revenue and Forecast, by Type (2020-2032)
11.3.7.2. Market Revenue and Forecast, by Deployment Mode (2020-2032)
11.3.7.3. Market Revenue and Forecast, by Application (2020-2032)
11.4. MEA
11.4.1. Market Revenue and Forecast, by Type (2020-2032)
11.4.2. Market Revenue and Forecast, by Deployment Mode (2020-2032)
11.4.3. Market Revenue and Forecast, by Application (2020-2032)
11.4.4. GCC
11.4.4.1. Market Revenue and Forecast, by Type (2020-2032)
11.4.4.2. Market Revenue and Forecast, by Deployment Mode (2020-2032)
11.4.4.3. Market Revenue and Forecast, by Application (2020-2032)
11.4.5. North Africa
11.4.5.1. Market Revenue and Forecast, by Type (2020-2032)
11.4.5.2. Market Revenue and Forecast, by Deployment Mode (2020-2032)
11.4.5.3. Market Revenue and Forecast, by Application (2020-2032)
11.4.6. South Africa
11.4.6.1. Market Revenue and Forecast, by Type (2020-2032)
11.4.6.2. Market Revenue and Forecast, by Deployment Mode (2020-2032)
11.4.6.3. Market Revenue and Forecast, by Application (2020-2032)
11.4.7. Rest of MEA
11.4.7.1. Market Revenue and Forecast, by Type (2020-2032)
11.4.7.2. Market Revenue and Forecast, by Deployment Mode (2020-2032)
11.4.7.3. Market Revenue and Forecast, by Application (2020-2032)
11.5. Latin America
11.5.1. Market Revenue and Forecast, by Type (2020-2032)
11.5.2. Market Revenue and Forecast, by Deployment Mode (2020-2032)
11.5.3. Market Revenue and Forecast, by Application (2020-2032)
11.5.4. Brazil
11.5.4.1. Market Revenue and Forecast, by Type (2020-2032)
11.5.4.2. Market Revenue and Forecast, by Deployment Mode (2020-2032)
11.5.4.3. Market Revenue and Forecast, by Application (2020-2032)
11.5.5. Rest of LATAM
11.5.5.1. Market Revenue and Forecast, by Type (2020-2032)
11.5.5.2. Market Revenue and Forecast, by Deployment Mode (2020-2032)
11.5.5.3. Market Revenue and Forecast, by Application (2020-2032)
Chapter 12. Company Profiles
12.1. Cubic Corporation
12.1.1. Company Overview
12.1.2. Product Offerings
12.1.3. Financial Performance
12.1.4. Recent Initiatives
12.2. IBM Corporation
12.2.1. Company Overview
12.2.2. Product Offerings
12.2.3. Financial Performance
12.2.4. Recent Initiatives
12.3. Oracle Corporation
12.3.1. Company Overview
12.3.2. Product Offerings
12.3.3. Financial Performance
12.3.4. Recent Initiatives
12.4. SisenseInc.
12.4.1. Company Overview
12.4.2. Product Offerings
12.4.3. Financial Performance
12.4.4. Recent Initiatives
12.5. CellintCorporation
12.5.1. Company Overview
12.5.2. Product Offerings
12.5.3. Financial Performance
12.5.4. Recent Initiatives
12.6. Inrix Corporation
12.6.1. Company Overview
12.6.2. Product Offerings
12.6.3. Financial Performance
12.6.4. Recent Initiatives
12.7. Hitachi Ltd.
12.7.1. Company Overview
12.7.2. Product Offerings
12.7.3. Financial Performance
12.7.4. Recent Initiatives
12.8. AlteryxInc.
12.8.1. Company Overview
12.8.2. Product Offerings
12.8.3. Financial Performance
12.8.4. Recent Initiatives
12.9. OmnitracsLLC
12.9.1. Company Overview
12.9.2. Product Offerings
12.9.3. Financial Performance
12.9.4. Recent Initiatives
12.10. SmartDrive Systems Inc.
12.10.1. Company Overview
12.10.2. Product Offerings
12.10.3. Financial Performance
12.10.4. Recent Initiatives
Chapter 13. Research Methodology
13.1. Primary Research
13.2. Secondary Research
13.3. Assumptions
Chapter 14. Appendix
14.1. About Us
14.2. Glossary of Terms
Cross-segment Market Size and Analysis for
Mentioned Segments
Additional Company Profiles (Upto 5 With No Cost)
Additional Countries (Apart From Mentioned Countries)
Country/Region-specific Report
Go To Market Strategy
Region Specific Market DynamicsRegion Level Market Share Import Export AnalysisProduction AnalysisOthers