Home > Automotive > Automotive Logistics > Logistics Technology > Automotive Logistics Management Software Market
Automotive Logistics Management Software Market size was valued at USD 7.8 billion in 2023 and is estimated to register a CAGR of over 6.3% between 2024 and 2032. There is a heightened need for logistics services to efficiently transport vehicles, parts, and components throughout the supply chain as the automotive industry expands. This surge in demand underscores the necessity for automotive logistics software to enhance transportation routes, oversee inventory, and monitor shipments with real-time precision.
According to the International Organization of Motor Vehicle Manufacturers, by December 2023, the total passenger vehicle production reached 67.1 million units, while commercial unit production stood at 26.4 million units. This growing automotive production is driving the need to maintain automotive logistics globally.
Report Attribute | Details |
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Base Year: | 2023 |
Automotive Logistics Management Software Market Size in 2023: | USD 7.8 Billion |
Forecast Period: | 2024-2032 |
Forecast Period 2024-2032 CAGR: | 6.3% |
2032 Value Projection: | USD 13.5 Billion |
Historical Data for: | 2021-2023 |
No. of Pages: | 240 |
Tables, Charts & Figures: | 311 |
Segments covered: | Deployment, Component, Application |
Growth Drivers: |
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Pitfalls & Challenges: |
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The expansion of the automobile industry has resulted in the creation of more complex supply chain networks including numerous suppliers, manufacturing sites, and distribution. For instance, the ocean-bound automobile traffic is anticipated to rise from 17% (YoY) to 23.7 million automobiles in December 2023, making it the fastest-growing seaborne trade across the marine industry, surpassing the previous highest of 21.5 million cars. Hence, by enabling collaboration between several stakeholders and offering visibility into the whole supply chain, automotive logistics software assists businesses in managing this complexity.
Many automakers continue to operate with outdated software and legacy systems for many facets of logistics management. It can be difficult to integrate new logistics software with these outdated systems, and it might necessitate significant data migration and customization work. It can be difficult to have real-time visibility into the complete supply chain, including inbound and outward logistics as there are many parties involved, transportation networks are intricate, and partners have differing degrees of data transparency.