IoT-Based Cold Chain in Agri-Logistics Market Size is valued at US$ 18.5 Bn in 2024 and is predicted to reach US$ 149.9 Bn by the year 2034 at an 23.9% CAGR during the forecast period for 2025-2034.
IoT-Based Cold Chain in Agri-Logistics is a system that integrates Internet of Things (IoT) devices—such as temperature, humidity, and location sensors—with communication networks and data platforms to monitor, control, and optimize the storage and transportation conditions of perishable agricultural products.
This system ensures product quality and safety by providing real-time visibility, automated alerts, and data-driven management throughout the supply chain. The increasing incorporation of real-time tracking and monitoring systems is a significant trend influencing the IoT-based cold chain in the agri-logistics market. The necessity to maintain exact temperature control during storage and transportation has grown crucial due to the rising demand for perishable items, especially in industries like food, healthcare, and pharmaceuticals.
Additionally, the IoT-based cold chain in the agri-logistics market is growing as a result of several factors, including the development of refrigeration technology, stricter regulations, and the growth of the healthcare and pharmaceutical industries. Furthermore, increasing use of blockchain technology to improve security, transparency, and traceability is another noteworthy development in the Indian IoT-based cold chain management market.
Some of the Key Players in IoT-Based Cold Chain in Agri-Logistics Market:
The iot-Based Cold Chain in Agri-Logistics market is segmented by Type, Deployment, Technology, Application, and End-user. The market is segmented by type into hardware, services, and software. The hardware category includes sensors, GPS trackers, data loggers, RFID devices, and controllers. The services segment comprises installation and integration, consulting services, and maintenance and support. The software segment covers cloud-based cold chain platforms, monitoring and analytics platforms, predictive maintenance software, and fleet management software. Additionally, by deployment, the market is divided into cloud-based and on-premise solutions. By technology, the market is segmented into Wi-Fi, RFID & Sensors, GPS, Zigbee, Bluetooth, and NB-loT & LoRaWAN. By application, the market is segmented into grains & cereals, fruits & vegetables, meat & seafood, dairy products, flowers & plants, and processed foods. By end-user, the market is segmented into farmers & growers, retailers, food processors, logistics providers, and government & regulatory bodies.
The hardware segment dominates the IoT-based cold chain in the agri-logistics market because smart sensors, RFID tags, and GPS trackers are widely used and provide real-time visibility into temperature, humidity, and shock levels during the transit of agricultural products. Particularly for perishable goods, farmers and shipping companies aggressively install these devices to guarantee safety and compliance. To enable more precise control over product quality, data loggers and controllers are essential for monitoring and controlling the internal conditions of transportation units.
With their ability to provide real-time, granular visibility of agricultural products, RFID & sensors are the dominant technology segment. Tracking products across distribution points and preserving environmental thresholds are made easier by this technology. To enhance inventory management, guarantee supply chain transparency, and perform risk assessments, stakeholders use sensor data. By facilitating smooth scanning and sorting between nodes, RFID tags also lower the possibility of human error.
North America's advanced infrastructure and strict food safety regulations had a significant impact on the IoT-based cold chain in the Agri-Logistics Market in 2024. Companies in these regions invest heavily in sophisticated tracking devices to monitor temperature-sensitive agricultural products. Additionally, government support and growing consumer demand for high-quality, fresh items are driving market expansion in these developed economies.
The European region is anticipated to have the fastest-growing market throughout the forecast period as countries modernize their agricultural supply chains. IoT-based cold chains have opportunities due to the expansion of organized retail and a rise in exports. In this field, the need for better logistics management, reduced food loss, and access to international markets further fuels the demand for efficient and cost-effective cold chain solutions.
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Report Attribute |
Specifications |
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Market Size Value In 2024 |
USD 18.5 Bn |
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Revenue Forecast In 2034 |
USD 149.9 Bn |
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Growth Rate CAGR |
CAGR of 23.9% from 2025 to 2034 |
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Quantitative Units |
Representation of revenue in US$ Bn and CAGR from 2025 to 2034 |
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Historic Year |
2021 to 2024 |
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Forecast Year |
2025-2034 |
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Report Coverage |
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
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Segments Covered |
By Type, By Deployment, By Technology, By Application, By End-user, and By Region |
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Regional Scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
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Country Scope |
U.S.; Canada; Germany; The UK; France; Italy; Spain; Rest of Europe; China; Japan; India; South Korea; Southeast Asia; Rest of Asia Pacific; Brazil; Argentina; Mexico; Rest of Latin America; GCC Countries; South Africa; Rest of the Middle East and Africa |
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Competitive Landscape |
ColdStream Technologies, Sensitech, TeleSense, Zest Labs, Americold, ThermoConnect, Maersk, DigiCold, SmartCold, Infratab, Honeywell, AgroMerchant, FreshTrack, Emerson Electric, Monnit, Controlant, Carrier Global, Lineage Logistics, Orbcomm, and vTrack Cold Chain |
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Customization Scope |
Free customization report with the procurement of the report, Modifications to the regional and segment scope. Geographic competitive landscape. |
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Pricing and Available Payment Methods |
Explore pricing alternatives that are customized to your particular study requirements. |
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global IoT-Based Cold Chain in Agri-Logistics Market Snapshot
Chapter 4. Global IoT-Based Cold Chain in Agri-Logistics Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Porter's Five Forces Analysis
4.7. Incremental Opportunity Analysis (US$ MN), 2025-2034
4.8. Competitive Landscape & Market Share Analysis, By Key Player (2024)
4.9. Use/impact of AI on IoT-Based Cold Chain in Agri-Logistics Market Industry Trends
4.10. Global IoT-Based Cold Chain in Agri-Logistics Market Penetration & Growth Prospect Mapping (US$ Mn), 2024-2034
Chapter 5. IoT-Based Cold Chain in Agri-Logistics Market Segmentation 1: By Type, Estimates & Trend Analysis
5.1. Market Share by Type, 2024 & 2034
5.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Type:
5.2.1. Hardware
5.2.1.1. Sensors
5.2.1.2. RFID Devices
5.2.1.3. Data Loggers
5.2.1.4. Controllers
5.2.1.5. GPS Trackers
5.2.2. Software
5.2.2.1. Monitoring & Analytics Platforms
5.2.2.2. Fleet Management Software
5.2.2.3. Predictive Maintenance Software
5.2.2.4. Cloud-Based Cold Chain Platforms
5.2.3. Services
5.2.3.1. Installation & Integration
5.2.3.2. Maintenance & Support
5.2.3.3. Consulting Services
Chapter 6. IoT-Based Cold Chain in Agri-Logistics Market Segmentation 2: By End-User, Estimates & Trend Analysis
6.1. Market Share by End-User, 2024 & 2034
6.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following End-User:
6.2.1. Farmers & Growers
6.2.2. Logistics Providers
6.2.3. Food Processors
6.2.4. Retailers
6.2.5. Government & Regulatory Bodies
Chapter 7. IoT-Based Cold Chain in Agri-Logistics Market Segmentation 3: By Application, Estimates & Trend Analysis
7.1. Market Share by Application, 2024 & 2034
7.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Application:
7.2.1. Fruits & Vegetables
7.2.2. Dairy Products
7.2.3. Meat & Seafood
7.2.4. Grains & Cereals
7.2.5. Flowers & Plants
7.2.6. Processed Foods
Chapter 8. IoT-Based Cold Chain in Agri-Logistics Market Segmentation 4: By Deployment Mode, Estimates & Trend Analysis
8.1. Market Share by Deployment Mode, 2024 & 2034
8.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Deployment Mode:
8.2.1. On-Premise
8.2.2. Cloud-Based
Chapter 9. IoT-Based Cold Chain in Agri-Logistics Market Segmentation 5: By Technology, Estimates & Trend Analysis
9.1. Market Share by Technology, 2024 & 2034
9.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Technology:
9.2.1. RFID & Sensors
9.2.2. GPS
9.2.3. Wi-Fi
9.2.4. Bluetooth
9.2.5. Zigbee
9.2.6. NB-IoT & LoRaWAN
Chapter 10. IoT-Based Cold Chain in Agri-Logistics Market Segmentation 6: Regional Estimates & Trend Analysis
10.1. Global IoT-Based Cold Chain in Agri-Logistics Market, Regional Snapshot 2024 & 2034
10.2. North America
10.2.1. North America IoT-Based Cold Chain in Agri-Logistics Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
10.2.1.1. US
10.2.1.2. Canada
10.2.2. North America IoT-Based Cold Chain in Agri-Logistics Market Revenue (US$ Million) Estimates and Forecasts by Type, 2021-2034
10.2.3. North America IoT-Based Cold Chain in Agri-Logistics Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034
10.2.4. North America IoT-Based Cold Chain in Agri-Logistics Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
10.2.5. North America IoT-Based Cold Chain in Agri-Logistics Market Revenue (US$ Million) Estimates and Forecasts by Component, 2021-2034
10.2.6. North America IoT-Based Cold Chain in Agri-Logistics Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2021-2034
10.2.7. North America IoT-Based Cold Chain in Agri-Logistics Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
10.3. Europe
10.3.1. Europe IoT-Based Cold Chain in Agri-Logistics Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
10.3.1.1. Germany
10.3.1.2. U.K.
10.3.1.3. France
10.3.1.4. Italy
10.3.1.5. Spain
10.3.1.6. Rest of Europe
10.3.2. Europe IoT-Based Cold Chain in Agri-Logistics Market Revenue (US$ Million) Estimates and Forecasts by Type, 2021-2034
10.3.3. Europe IoT-Based Cold Chain in Agri-Logistics Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034
10.3.4. Europe IoT-Based Cold Chain in Agri-Logistics Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
10.3.5. Europe IoT-Based Cold Chain in Agri-Logistics Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2021-2034
10.3.6. Europe IoT-Based Cold Chain in Agri-Logistics Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
10.4. Asia Pacific
10.4.1. Asia Pacific IoT-Based Cold Chain in Agri-Logistics Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
10.4.1.1. India
10.4.1.2. China
10.4.1.3. Japan
10.4.1.4. Australia
10.4.1.5. South Korea
10.4.1.6. Hong Kong
10.4.1.7. Southeast Asia
10.4.1.8. Rest of Asia Pacific
10.4.2. Asia Pacific IoT-Based Cold Chain in Agri-Logistics Market Revenue (US$ Million) Estimates and Forecasts by Type, 2021-2034
10.4.3. Asia Pacific IoT-Based Cold Chain in Agri-Logistics Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034
10.4.4. Asia Pacific IoT-Based Cold Chain in Agri-Logistics Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
10.4.5. Asia Pacific IoT-Based Cold Chain in Agri-Logistics Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2021-2034
10.4.6. Asia Pacific IoT-Based Cold Chain in Agri-Logistics Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
10.5. Latin America
10.5.1. Latin America IoT-Based Cold Chain in Agri-Logistics Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
10.5.1.1. Brazil
10.5.1.2. Mexico
10.5.1.3. Rest of Latin America
10.5.2. Latin America IoT-Based Cold Chain in Agri-Logistics Market Revenue (US$ Million) Estimates and Forecasts by Type, 2021-2034
10.5.3. Latin America IoT-Based Cold Chain in Agri-Logistics Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034
10.5.4. Latin America IoT-Based Cold Chain in Agri-Logistics Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
10.5.5. Latin America IoT-Based Cold Chain in Agri-Logistics Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2021-2034
10.5.6. Latin America IoT-Based Cold Chain in Agri-Logistics Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
10.6. Middle East & Africa
10.6.1. Middle East & Africa Wind Turbine Rotor Blade Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
10.6.1.1. GCC Countries
10.6.1.2. Israel
10.6.1.3. South Africa
10.6.1.4. Rest of Middle East and Africa
10.6.2. Middle East & Africa IoT-Based Cold Chain in Agri-Logistics Market Revenue (US$ Million) Estimates and Forecasts by Type, 2021-2034
10.6.3. Middle East & Africa IoT-Based Cold Chain in Agri-Logistics Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034
10.6.4. Middle East & Africa IoT-Based Cold Chain in Agri-Logistics Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
10.6.5. Middle East & Africa IoT-Based Cold Chain in Agri-Logistics Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2021-2034
10.6.6. Middle East & Africa IoT-Based Cold Chain in Agri-Logistics Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
Chapter 11. Competitive Landscape
11.1. Major Mergers and Acquisitions/Strategic Alliances
11.2. Company Profiles
11.2.1. TeleSense
11.2.1.1. Business Overview
11.2.1.2. Key Type/Service Overview
11.2.1.3. Financial Performance
11.2.1.4. Geographical Presence
11.2.1.5. Recent Developments with Business Strategy
11.2.2. ColdStream Technologies
11.2.3. Lineage Logistics
11.2.4. Orbcomm
11.2.5. Sensitech
11.2.6. Zest Labs
11.2.7. Americold
11.2.8. ThermoConnect
11.2.9. Maersk
11.2.10. Carrier Global
11.2.11. DigiCold
11.2.12. AgroMerchant
11.2.13. FreshTrack
11.2.14. Honeywell
11.2.15. Emerson Electric
11.2.16. SmartCold
11.2.17. Infratab
11.2.18. Monnit
11.2.19. Controlant
11.2.20. vTrack Cold Chain
IoT-Based Cold Chain in Agri-Logistics Market by Type-
· Hardware
o Sensors
o GPS Trackers
o Data Loggers
o RFID Devices
o Controllers
· Services
o Installation & Integration
o Consulting Services
o Maintenance & Support
· Software
o Cloud-Based Cold Chain Platforms
o Monitoring & Analytics Platforms
o Predictive Maintenance Software
o Fleet Management Software
IoT-Based Cold Chain in Agri-Logistics Market by Deployment -
· Cloud-Based
· On-Premise
IoT-Based Cold Chain in Agri-Logistics Market by Technology-
· Wi-Fi
· RFID & Sensors
· GPS
· Zigbee
· Bluetooth
· NB-loT & LoRaWAN
IoT-Based Cold Chain in Agri-Logistics Market by Application-
· Grains & Cereals
· Fruits & Vegetables
· Meat & Seafood
· Dairy Products
· Flowers & Plants
· Processed Foods
IoT-Based Cold Chain in Agri-Logistics Market by End-user-
· Farmers & Growers
· Retailers
· Food Processors
· Logistics Providers
· Government & Regulatory Bodies
IoT-Based Cold Chain in Agri-Logistics Market by Region-
North America-
· The US
· Canada
Europe-
· Germany
· The UK
· France
· Italy
· Spain
· Rest of Europe
Asia-Pacific-
· China
· Japan
· India
· South Korea
· Southeast Asia
· Rest of Asia Pacific
Latin America-
· Brazil
· Argentina
· Mexico
· Rest of Latin America
Middle East & Africa-
· GCC Countries
· South Africa
· Rest of the Middle East and Africa
InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.
Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.
Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.
Secondary research
The secondary research sources that are typically mentioned to include, but are not limited to:
The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista
Primary Research:
Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies
The contributors who typically take part in such a course include, but are not limited to:
Data Modeling and Analysis:
In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.
The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.
To know more about the research methodology used for this study, kindly contact us/click here.
