IOT in Logistics By Solution Analysis (Fleet Management, Tracking & Monitoring, Route Optimization); By Technology Analysis (Cellular Network Technologies, Short Range Technologies); By End Users Analysis (Aerospace & Defense, Retail, Food & Beverages, Automotive, Healthcare); By Services Analysis (Consulting Services, Maintenance Services, Integration Services) and By Regional Analysis – Global Forecast by 2020 – 2025

There is no secret that technology is changing globally and with the change in technology logistics has gained immense importance. With the approach of IoT, Internet connections now reach out to physical items that are not computers in the great sense. An associate bed for instance, can tell its owner the whereabouts and state of their shipment. A connected truck can keenly foresee its own support needs. An associated road light can detect the nearness of autos and send natural knowledge to drivers. These are quite recently some of numerous captivating conceivable outcomes for IoT in logistics. Key to in-travel perceivability are cloud-based GPS and Radio Frequency Identification (RFID) innovations, which give personality, area, and other following data. These are the foundation of IoT as it identifies with the Logistics. Consolidating real-time sensor data with ecological information can give insight of higher request to every one of the partners in the ecosystem.

How Big is the Global IOT in Logistics?

The IOT in Logistics is expected to be around US$ 24.30 Billion by 2025 at a CAGR of 35.5% in the given forecast period.

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The major driving factors of IOT in Logisticsare as follows:

Increase in the internet dependent population
New system of real-time tracking of outbound logistics
Development of logistics operations


The restraining factors of IOT in Logistics are as follows:



High cost, and vigilant government rules and regulations
Dearth of skill workforce.


The IOT in Logistics is segmented on the lines of its solution, technology, end users, service, and regional. Based on solution segmentation it covers fleet management, tracking & monitoring, route optimization, others. Based on technology segmentation it covers cellular network technologies, short range technologies. Based on end users segmentation it covers aerospace & defense, retail, food & beverages, automotive, healthcare, others. Based on services segmentation it covers consulting, integration, maintenance. The IOT in Logistics on geographic segmentation covers various regions such as North America, Europe, Asia Pacific, Latin America, Middle East and Africa. Each geographic market is further segmented to provide market revenue for select countries such as the U.S., Canada, U.K. Germany, China, Japan, India, Brazil, and GCC countries.



This report provides:

1) An overview of the global market for IOT in Logistics and related technologies.
2) Analyses of global market trends, with data from 2016, estimates for 2017 and 2018, and projections of compound annual growth rates (CAGRs) through 2025.
3) Identifications of new market opportunities and targeted promotional plans for IOT in Logistics.
4) Discussion of research and development, and the demand for new products and new applications.
5) Comprehensive company profiles of major players in the industry.



REPORT SCOPE:


The scope of the report includes a detailed study of global and regional markets on IOT in Logistics with the reasons given for variations in the growth of the industry in certain regions.

The report covers detailed competitive outlook including the market share and company profiles of the key participants operating in the global market. Key players profiled in the report include IBM Corporation (New York, U.S.), Intel Corp. (Santa Clara, U.S.), SAP SE (Walldorf, Germany), HCL Technology Limited (Noida, India), Microsoft Corp. (Washington, U.S.), Innovative Express Pvt.Ltd(Gujarat,India), ICC Logistics Services (NY, USA.). Company profile includes assign such as company summary, financial summary, business strategy and planning, SWOT analysis and current developments.

The Top Companies Report is intended to provide our buyers with a snapshot of the industry’s most influential players.



The IOT in Logistics has been segmented as below:



By Solution Analysis:



· Fleet Management
· Tracking & Monitoring
· Route Optimization
· Others



By Technology Analysis:

Cellular Network Technologies
2G
3G
4G
Short Range Technologies
Bluetooth
Wi-Fi
Radio Frequency Identification (RFID)
Near Field Communication(NFC)


By End Users Analysis:



· Aerospace & Defense
· Retail
· Food & Beverages
· Automotive
· Healthcare
· Others



By Services Analysis:



Consulting Services
· Maintenance Services
· Integration Services



By Regional Analysis:

North America
Europe
Asia-Pacific
Rest of World


Reasons to Buy this Report:

1) Obtain the most up to date information available on all IOT in Logistics.
2) Identify growth segments and opportunities in the industry.
3) Facilitate decision making on the basis of strong historic and forecast of IOT in Logistics data.
4) Assess your competitor’s refining portfolio and its evolution.

The dynamic nature of business environment in the current global economy is raising the need amongst business professionals to update themselves with current situations in the market. To cater such needs, Shibuya Data Count provides market research reports to various business professionals across different industry verticals, such as healthcare & pharmaceutical, IT & telecom, chemicals and advanced materials, consumer goods & food, energy & power, manufacturing & construction, industrial automation & equipment and agriculture & allied activities amongst others.