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IoT Powered Logistics Market Growing at +12% CAGR by 2031 | Cisco, NEC Corporation, Intel, Honeywell, Oracle PTC, SAP SE, Microsoft, Amazon Web Services, IBM

05-06-2024 11:16 AM CET | Logistics & Transport

Press release from: The Research Insights

/ PR Agency: The Research Insights
IoT Powered Logistics Market Growing at +12% CAGR by 2031 | Cisco,

Through integrating Internet of Things (IoT) technology, lot-powered logistics transforms the conventional supply chain model, improving visibility, efficiency, and decision-making. This cutting-edge method integrates smart sensors and devices into every facet of the logistics process, from warehouse infrastructure to vehicles. These networked devices gather data in real-time about the location, state, and status of assets and items along the supply chain in logistics powered by the Internet of Things. After being transferred and analysed in a centralised system, this data offers stakeholders priceless insights into the logistical processes. To ensure the integrity of perishable goods during transit, shipping containers are equipped with sensors that can monitor various environmental conditions such as temperature and humidity.

The Global IoT Powered Logistics Market in terms of revenue was estimated to be worth USD XX billion in 2023 and is poised to grow at a CAGR of 12.0% from 2024 to 2031.

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Top Key Players Profiled in This Report:
Cisco Systems Inc, NEC Corporation, Intel Corporation, Honeywell International, Oracle Corporation PTC, SAP SE, Microsoft Corporation, Amazon Web Services, IBM Corporation and Others.

IoT Powered Logistics Market Dynamics

Drivers: Real-time tracking of shipments and assets improves visibility across the supply chain, enabling better decision-making.

Real-time tracking of shipments and assets revolutionizes supply chain management by enhancing visibility and fostering informed decision-making. By employing advanced technologies such as GPS, RFID, and IoT sensors, businesses can monitor the exact location and condition of their goods throughout the entire logistics journey. This level of transparency allows for proactive identification of potential delays, theft, or damage, enabling swift intervention to mitigate risks and ensure on-time delivery. Moreover, access to real-time data empowers stakeholders to optimize routes, allocate resources efficiently, and streamline operations for cost-effectiveness. With comprehensive insights into the movement and status of assets, companies can respond promptly to changing market demands, improve customer satisfaction, and gain a competitive edge in today's dynamic business environment. Thus, real-time tracking emerges as a cornerstone of modern supply chain strategies, driving agility, resilience, and performance across the entire network.

Restraints: High upfront costs associated with IoT infrastructure deployment and integration may deter some companies.

Deploying and integrating IoT infrastructure often demands significant upfront investment, a deterrent for some companies. The costs encompass hardware procurement, installation, network setup, and software development or customization. Additionally, integrating IoT devices with existing systems requires skilled professionals, further inflating expenses. Companies must also consider ongoing maintenance, security measures, and scalability requirements, compounding the initial outlay. While the potential long-term benefits like operational efficiency, data-driven insights, and improved decision-making are enticing, the immediate financial burden can dissuade businesses, particularly small to medium-sized enterprises with limited resources. To address this barrier, some providers offer flexible pricing models or leasing options, while advancements in standardized IoT solutions and cloud-based platforms aim to streamline deployment and reduce costs over time, potentially encouraging wider adoption.

Opportunities: IoT data analytics can identify inefficiencies and bottlenecks, enabling continuous improvement in supply chain processes.

IoT data analytics revolutionizes supply chain management by pinpointing inefficiencies and bottlenecks. By harnessing real-time data from interconnected devices, companies gain insights into every stage of the supply chain. This visibility allows for proactive decision-making, optimizing inventory management, transportation routes, and production schedules. Predictive analytics forecasts demand, ensuring resources are allocated efficiently. Moreover, by analyzing historical data, patterns emerge, enabling the identification of recurring issues for targeted improvements. Continuous monitoring of key performance indicators facilitates rapid response to deviations from optimal performance, minimizing disruptions and maximizing operational efficiency. Ultimately, IoT data analytics empowers organizations to adapt swiftly to market fluctuations, reduce costs, enhance customer satisfaction, and maintain a competitive edge in today's dynamic business landscape.

Challenges: Managing and analyzing large volumes of IoT-generated data can overwhelm organizations, leading to information overload.

Managing and analyzing large volumes of IoT-generated data can overwhelm organizations, leading to information overload. The sheer quantity of data produced by interconnected devices can strain traditional data management systems, making it challenging to extract meaningful insights efficiently. Organizations may struggle to process, store, and analyze this influx of data in real-time, hindering decision-making processes and potentially missing valuable opportunities or insights buried within the data streams. To address this challenge, businesses often turn to advanced data management platforms equipped with capabilities like real-time analytics, machine learning algorithms, and scalable storage solutions. These platforms enable organizations to effectively manage and derive actionable insights from IoT data, empowering them to make informed decisions, optimize operations, and unlock new opportunities for innovation and growth amidst the deluge of information.

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IoT Powered Logistics Market Segmentation by Component:
• Software
• Hardware

IoT Powered Logistics Market Segmentation by Application:
• Fleet
• Freight
• Warehouse
• Yard / Dock

IoT Powered Logistics Market by Regions:
• North America (United States, Canada and Mexico)
• Europe (Germany, France, UK, Russia and Italy)
• Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
• South America (Brazil, Argentina, Colombia etc.)
• Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

Reasons for buying this report:-

• It offers an analysis of changing competitive scenario.
• For making informed decisions in the businesses, it offers analytical data with strategic planning methodologies.
• It offers seven-year assessment of IoT Powered Logistics Market.
• It helps in understanding the major key product segments.
• Researchers throw light on the dynamics of the market such as drivers, restraints, trends, and opportunities.
• It offers regional analysis of IoT Powered Logistics Market along with business profiles of several stakeholders.
• It offers massive data about trending factors that will influence the progress of the IoT Powered Logistics Market.

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