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A prominent expansion of global trade activities, a thriving e-commerce sector, and a surge in free-trade agreements between various countries are expected to prop up the growth of the automotive logistics market across the globe.
PORTLAND, Ore., Oct. 11, 2022 /PRNewswire/ — Allied Market Research recently published a report, titled, “Automotive Logistics Market by Service (Warehousing and Transportation), by Type (Finished Vehicles and Automotive Parts), by Mode of Transport (Land, Air, and Sea), and by Distribution Area (Domestic and International): Global Opportunity Analysis and Industry Forecast, 2021-2031.” As per the report, the global automotive logistics industry was estimated at $241.7 billion in 2021, and is set to reach $433.6 billion by 2031, growing at a CAGR of 6.1% from 2022 to 2031. The report offers a detailed analysis of changing market trends, top segments, key investment pockets, value chains, regional landscapes, and competitive scenarios.
Download FREE Report Sample (308 Pages PDF with Insights, Charts, Tables, Figures) at https://www.alliedmarketresearch.com/request-sample/31957
Drivers, restraints, and opportunities
A prominent expansion of global trade activities, a thriving e-commerce sector, and a surge in free-trade agreements between various countries are expected to prop up the growth of the automotive logistics market across the globe. Apart from this, an increase in the number of seaports across the globe will boost global market trends. Nonetheless, strict fuel emission norms can restrict the growth of the global industry. However, technological innovations such as machine-to-machine communication have brought a paradigm shift in the transport sector, particularly in waterway transportation. This, in turn, is likely to create new growth avenues for the automotive logistics market globally.
Covid-19 scenario:
The land segment to dominate the global market in terms of revenue in 2031
Based on the mode of transport, the land segment is set to contribute to the highest market share in 2021, accounting for nearly two-thirds of the global automotive logistics market share. Furthermore, the segment is projected to contribute majorly toward the global market share during the forecast period. The growth of the segment over the assessment period is attributed to a rise in investments in road transport activities as they require lesser investments compared to railway and air transportation. Apart from this, the rise in the export and import of goods through land has propelled segmental growth. However, the sea segment will record the fastest CAGR of 7.5% from 2022 to 2031. The growth of the segment over the forecast timeframe can be due to a rise in the transportation of key goods via sea route.
The domestic segment to hold the major market share over 2022-2031
On basis of the distribution area, the domestic segment contributed to the largest market share in 2021, accounting for nearly two-thirds of the global automotive logistics market share. Furthermore, the same segment is anticipated to dominate the growth of the global market over the forecast period. The growth of the segment over the assessment period is subject to a rise in domestic services including goods delivery and sending of documents from one place to destination in a country such as cargo transport, document courier, and parcel delivery. However, the international segment is predicted to record the highest CAGR of 7.3% over the forecast period. The growth of the segment over the forecast timeline can be credited to the large-scale distribution of goods and logistics from one country to another country through flight and sea routes.
The transportation segment to lead the global market growth over the forecast period
In terms of service, the transportation segment contributed to the highest market share in 2021, accounting for nearly four-fifths of the global automotive logistics market share. Moreover, the same segment is set to make notable contributions toward the global market share in 2031. The growth of the segment over the forecast timeline can be credited to the rise in the use of transportation management software for optimizing routes, handling carriers, and transforming paper-based documentation into digital/analog. Furthermore, transportation management software helps in reducing freight costs, track deliveries in real-time, and enhance customer service. However, the warehousing segment is predicted to register the fastest CAGR of 7.4% during the forecast timeline. The segmental growth over the forecast timeframe can be attributed to the growing penetration of robots in warehouse management activities. In addition, warehouses are making use of robotic systems in various warehouse & logistics processes such as picking, sorting, packing, transporting, and inspection.
Asia-Pacific to retain global market domination over 2022-2031
By Region, Asia-Pacific contributed notably toward the global automotive logistics market share in 2021, and is projected to continue its dominance during the forecast period. The region accounted for more than two-fifths of the global market share in 2021. The same region is slated to contribute significantly toward the global market size in 2031. Furthermore, the Asia-Pacific automotive logistics industry is anticipated to record the highest CAGR of 7.1% over 2022-2031. The regional market growth over the projected timespan is owing to the thriving e-commerce sector in developing countries of the region. In addition, favorable government policies pertaining to the development of strong automotive logistics infrastructure in the Asia-Pacific will drive regional market trends.
Interested to Procure the Data with Actionable Strategy & Insights? Inquire Before Buying – https://www.alliedmarketresearch.com/purchase-enquiry/31957
Major market players
The report analyzes these key players in the global automotive logistics market. These players have implemented key business strategies such as strategic expansion, new product launches, alliances, and joint ventures for enhancing market penetration and reinforcing their position in the industry. The report helps the target audience in determining the market performance, performance of each segment, product portfolio development in the market, and contributions made by each player to the market expansion.
Similar Reports We Have on Logistics Industry:
Government and Education Logistics Market by Transport, Research Report 2021–2031
Finished Vehicles Logistics Market by Activity, Logistics Service, Mode of Transport, Vehicle Type, Research Report 2021–2031
Project Logistics Market by Services, Mode of Transportation, and Verticals, Research Report 2021–2031
Timber Logistics Market by Type, Research Report 2021–2031
About Us
Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Portland, Oregon. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of “Market Research Reports” and “Business Intelligence Solutions.” AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain.
We are in professional corporate relations with various companies and this helps us in digging out market data that helps us generate accurate research data tables and confirms utmost accuracy in our market forecasting. Allied Market Research CEO Pawan Kumar is instrumental in inspiring and encouraging everyone associated with the company to maintain high quality of data and help clients in every way possible to achieve success. Each and every data presented in the reports published by us is extracted through primary interviews with top officials from leading companies of domain concerned. Our secondary data procurement methodology includes deep online and offline research and discussion with knowledgeable professionals and analysts in the industry.
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SOURCE Allied Market Research
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Are companies linking document management into their big data strategies? They should be
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Many big data implementations are leaving document management systems behind, but DMSes house major stores of unstructured data. Should data analysts think again?
The earliest document management systems (DMSes) appeared in the 1980s. They moved beyond physical file cabinets and PC server storage and appeared on networks where multiple people and departments within a single company could gain access to a trove of documents in electronic form.
Since then, document management systems have been the primary movers and shakers behind companies’ efforts to digitalize. These systems scan, index, store, retrieve and transform documents. They have been instrumental in moving paper-based documents and images out of file cabinets and storage rooms and onto widely distributed networks that everyone uses.
The question is: Are companies linking document management with their big data strategies?
In many cases, companies are lagging.
SEE: Microsoft Power Platform: What you need to know about it (free PDF) (TechRepublic)
The big data repositories that are being built combine systems of record data with incoming Internet of Things and outside source data that is unstructured. Document management systems are used in this process, but there isn’t necessarily a concerted effort in big data strategies to maximize all of the data in a DMS.
On the DMS side, users search data and digitize and organize it — but other big data technologies, such as data cleaning and normalization, artificial intelligence, machine learning and more advanced algorithm development, aren’t yet broadly used.
Of course, there are niche exceptions.
One of these exceptions is the legal discovery process that pores through reams of documents that are often housed in corporate document management systems. The goal of a legal discovery software is to analyze unstructured documents and to use AI and machine learning to determine which documents (out of thousands) are most relevant to a potential upcoming legal case, and which are not.
In this instance, there are no lengthy corporate arguments about whether it’s necessary to import documents into a big data repository from a DMS. The use case stands by itself.
However, in other cases, a compelling reason to mesh a DMS with a big data repository might not be there. For instance, does a genome sequencing experiment really rely on what a DMS would typically include?
SEE: Digital transformation: 3 things your organization can’t afford to overlook (TechRepublic)
The takeaway is not really whether a DMS is needed for a big data repository but simply that it should be considered. The DMS so often becomes an outlier for big data strategy because data scientists and IT data analysts have a tendency to overlook it.
What should companies do to ensure that their DMS systems are included as potential sources for information that flows into a big data repository? Here are four steps.
Are companies linking document management into their big data strategies? They should be
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