Cloud Based Cold Chain Management Market
Cloud-based Cold Chain Management Market Forecasts to 2030 - Global Analysis By Component (Hardware, Software and Services), Transportation, Deployment, Temperature Range, Technology, End User and By Geography
|
Years Coveredc |
2022-2030 |
|
Estimated Year Value (2024) |
US $14.92 BN |
|
Projected Year Value (2030) |
US $128.64 BN |
|
CAGR (2024 - 2030) |
28.4% |
|
Regions Covered |
North America, Europe, Asia Pacific, South America, and Middle East & Africa |
|
Countries Covered |
US, Canada, Mexico, Germany, UK, Italy, France, Spain, Japan, China, India, Australia, New Zealand, South Korea, Rest of Asia Pacific, South America, Argentina, Brazil, Chile, Middle East & Africa, Saudi Arabia, UAE, Qatar, and South Africa |
|
Largest Market |
Asia Pacific |
|
Highest Growing Market |
North America |
According to Stratistics MRC, the Global Cloud-based Cold Chain Management Market is accounted for $14.92 billion in 2024 and is expected to reach $128.64 billion by 2030 growing at a CAGR of 28.4% during the forecast period. Cloud-based cold chain management is a digital system that utilizes cloud computing to monitor, control, and optimize temperature-sensitive supply chains. It enables real-time tracking of perishable goods such as food, pharmaceuticals, and biologics, ensuring compliance with regulatory standards. This technology enhances efficiency, reduces spoilage, and minimizes risks by enabling remote access to critical data, ensuring product integrity, and improving decision-making for logistics and supply chain stakeholders.
According to Forbes, cloud-based sales in the US soared, marking a 14.2% increase compared to 2021.
Market Dynamics:
Driver:
Rising demand for perishable goods
As consumers increasingly seek high-quality, fresh products, the need for efficient temperature-controlled logistics has surged. Cloud-based systems offer real-time tracking, monitoring, and management of these goods, ensuring that temperature requirements are consistently met during storage and transportation. This minimizes spoilage, ensures product quality, and complies with regulatory standards. As industries like foodservice and pharmaceuticals expand, the demand for automated, data-driven solutions in cold chain management continues to rise, propelling market growth.
Restraint:
Connectivity & infrastructure limitations
Connectivity and infrastructure limitations in cloud-based cold chain management arise from unreliable internet access in remote or rural areas, where cold chain operations are critical. Inconsistent connectivity can disrupt real-time monitoring, causing delays in temperature control and data transmission. Moreover, inadequate infrastructure in certain regions limits the deployment of advanced technologies like IoT sensors and cloud-based platforms, slowing down market adoption. These limitations ultimately reduce operational efficiency, hinder scalability, and limit the overall growth potential of the market.
Opportunity:
E-commerce & online grocery expansion
E-commerce platforms and grocery services must ensure temperature-sensitive products like food and pharmaceuticals stay safe during transit to meet growing demand for faster, fresher, and more convenient delivery options. Cloud-based cold chain solutions offer real-time tracking, remote monitoring, and data analytics to ensure compliance with temperature requirements. This technology reduces spoilage, delays, and inventory losses while improving operational efficiency. The growing preference for home deliveries and the rise in online grocery shopping further drive the need for reliable, scalable cold chain logistics solutions.
Threat:
High initial investment
Cloud-based cold chain management systems require significant initial investment due to the costs of advanced technologies like IoT sensors, AI-driven analytics, real-time tracking infrastructure, and cloud integration. Additionally, companies must invest in training and workforce development to manage these systems effectively. For small and medium-sized businesses, these high upfront costs can be a barrier to adoption. As a result, many organizations delay or avoid implementing such solutions, which hampers overall market growth.
Covid-19 Impact:
The covid-19 pandemic significantly accelerated the adoption of cloud-based cold chain management due to the urgent need for efficient vaccine distribution and pharmaceutical logistics. Increased demand for temperature-sensitive medical supplies, remote monitoring, and real-time tracking boosted market growth. Lockdowns and supply chain disruptions highlighted the importance of automation, IoT, and AI-driven predictive analytics. However, challenges like supply chain bottlenecks, cybersecurity risks, and initial investment costs remained.
The blockchain segment is expected to be the largest during the forecast period
The blockchain segment is expected to account for the largest market share during the forecast period. Blockchain technology in cloud-based cold chain management enhances transparency, security, and traceability in the transportation of temperature-sensitive goods. It enables seamless sharing of temperature data and compliance reports among stakeholders. With cloud computing, this system offers scalability and real-time access, improving decision-making and operational efficiency while reducing costs and risks associated with cold chain operations.
The food & beverages segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the food & beverages segment is predicted to witness the highest growth rate. Cloud-based cold chain management in the food and beverage industry uses cloud computing to monitor and control the temperature-sensitive supply chain. It ensures optimal storage and transportation conditions for perishable goods by collecting real-time data from IoT devices. Cloud technology enables remote monitoring, predictive analytics, and data sharing across stakeholders, improving efficiency, reducing waste, and maintaining product quality.
Region with largest share:
During the forecast period, the Asia-Pacific region is expected to hold the largest market share, due to increasing demand for perishable food, pharmaceuticals, and vaccines. Rising urbanization, expanding e-commerce, and government initiatives for food and drug safety drive market expansion. Countries like China, India, and Japan are investing in IoT-enabled cold chain solutions for real-time tracking and compliance. The region’s growing pharmaceutical and biotechnology industries further boost adoption, making Asia-Pacific a key player in the global cold chain market.
Region with highest CAGR:
Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, by the advanced logistics infrastructure, high demand for perishable food, and a strong pharmaceutical sector. The U.S. and Canada are leading adopters of IoT-enabled temperature monitoring, AI-driven analytics, and blockchain for real-time tracking and compliance. The rise of e-commerce, online grocery delivery, and biologic drug distribution enhances market expansion. Continuous technological innovation and increasing investments in supply chain optimization position North America as a key market leader.
Key players in the market
Some of the key players in Cloud-based Cold Chain Management market include Oracle, SAP, IBM Corporation, Microsoft Corporation, Amazon Web Services, Inc. (AWS), Cisco Systems Inc., AT&T Inc., Tata Consultancy Services Limited, Infosys Limited, Capgemini SE, HCL Technologies Limited, Wipro Limited, Zebra Technologies Corporation, Körber AG, Fujitsu Corporation, Infratab, Inc, Emerson Electric Corporation, ELPRO-BUCHS AG, Tower Cold Chain and Savi Technology.
Key Developments:
In October 2024, Tower Cold Chain launched a one-stop-shop solution that offers access to four key areas: a sustainability toolkit, a knowledge hub, performance data, and ethical guidelines. This initiative aims to provide companies in the cold chain sector with comprehensive resources to improve their operations and sustainability practices.
In December 2023, Fujitsu launched a new cloud-based logistics data standardization and visualization service designed for shippers, logistics companies, and vendors. This solution is particularly beneficial for improving supply chain transparency and optimizing workflows, making it a valuable tool for companies looking to enhance their logistics processes.
Components Covered:
• Hardware
• Software
• Services
Transportations Covered:
• Land-Based
• Air-Based
• Sea-Based
• Rail-Based
Deployments Covered:
• Public Cloud
• Private Cloud
Temperature Ranges Covered:
• Cold (2-8°C)
• Frozen (-18°C or Lower)
• Ambient (10-25°C)
Technologies Covered:
• Internet of Things (IoT)
• Blockchain
• Artificial Intelligence (AI) & Machine Learning
• Big Data Analytics
• GPS & Real-Time Tracking
• Other Technologies
End Users Covered:
• Food & Beverages
• Healthcare
• Chemicals
• Agriculture
• Logistics & Transportation
• Other End Users
Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances
Table of Contents
1 Executive Summary
2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions
3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Technology Analysis
3.7 End User Analysis
3.8 Emerging Markets
3.9 Impact of Covid-19
4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry
5 Global Cloud-based Cold Chain Management Market, By Component
5.1 Introduction
5.2 Hardware
5.2.1 Temperature Data Loggers
5.2.2 Radio Frequency Identification (RFID) Tags
5.2.3 Sensors
5.3 Software
5.3.1 Temperature Monitoring Software
5.3.2 Cloud-based Analytics Software
5.3.3 Real-Time Tracking Software
5.4 Services
5.4.1 Consulting
5.4.2 Integration & Implementation
5.4.3 Maintenance & Support
6 Global Cloud-based Cold Chain Management Market, By Transportation
6.1 Introduction
6.2 Land-Based
6.3 Air-Based
6.4 Sea-Based
6.5 Rail-Based
7 Global Cloud-based Cold Chain Management Market, By Deployment
7.1 Introduction
7.2 Public Cloud
7.3 Private Cloud
8 Global Cloud-based Cold Chain Management Market, By Temperature Range
8.1 Introduction
8.2 Cold (2-8°C)
8.3 Frozen (-18°C or Lower)
8.4 Ambient (10-25°C)
9 Global Cloud-based Cold Chain Management Market, By Technology
9.1 Introduction
9.2 Internet of Things (IoT)
9.3 Blockchain
9.4 Artificial Intelligence (AI) & Machine Learning
9.5 Big Data Analytics
9.6 GPS & Real-Time Tracking
9.7 Other Technologies
10 Global Cloud-based Cold Chain Management Market, By End User
10.1 Introduction
10.2 Food & Beverages
10.3 Healthcare
10.4 Chemicals
10.5 Agriculture
10.6 Logistics & Transportation
10.7 Other End Users
11 Global Cloud-based Cold Chain Management Market, By Geography
11.1 Introduction
11.2 North America
11.2.1 US
11.2.2 Canada
11.2.3 Mexico
11.3 Europe
11.3.1 Germany
11.3.2 UK
11.3.3 Italy
11.3.4 France
11.3.5 Spain
11.3.11 Rest of Europe
11.4 Asia Pacific
11.4.1 Japan
11.4.2 China
11.4.3 India
11.4.4 Australia
11.4.5 New Zealand
11.4.11 South Korea
11.4.7 Rest of Asia Pacific
11.5 South America
11.5.1 Argentina
11.5.2 Brazil
11.5.3 Chile
11.5.4 Rest of South America
11.11 Middle East & Africa
11.11.1 Saudi Arabia
11.11.2 UAE
11.11.3 Qatar
11.11.4 South Africa
11.11.5 Rest of Middle East & Africa
12 Key Developments
12.1 Agreements, Partnerships, Collaborations and Joint Ventures
12.2 Acquisitions & Mergers
12.3 New Product Launch
12.4 Expansions
12.5 Other Key Strategies
13 Company Profiling
13.1 Oracle
13.2 SAP
13.3 IBM Corporation
13.4 Microsoft Corporation
13.5 Amazon Web Services, Inc. (AWS)
13.6 Cisco Systems Inc.
13.7 AT&T Inc.
13.8 Tata Consultancy Services Limited
13.9 Infosys Limited
13.10 Capgemini SE
13.11 HCL Technologies Limited
13.12 Wipro Limited
13.13 Zebra Technologies Corporation
13.14 Körber AG
13.15 Fujitsu Corporation
13.16 Infratab, Inc
13.17 Emerson Electric Corporation
13.18 ELPRO-BUCHS AG
13.19 Tower Cold Chain
13.20 Savi Technology
List of Tables
1 Global Cloud-based Cold Chain Management Market Outlook, By Region (2022-2030) ($MN)
2 Global Cloud-based Cold Chain Management Market Outlook, By Component (2022-2030) ($MN)
3 Global Cloud-based Cold Chain Management Market Outlook, By Hardware (2022-2030) ($MN)
4 Global Cloud-based Cold Chain Management Market Outlook, By Temperature Data Loggers (2022-2030) ($MN)
5 Global Cloud-based Cold Chain Management Market Outlook, By Radio Frequency Identification (RFID) Tags (2022-2030) ($MN)
6 Global Cloud-based Cold Chain Management Market Outlook, By Sensors (2022-2030) ($MN)
7 Global Cloud-based Cold Chain Management Market Outlook, By Software (2022-2030) ($MN)
8 Global Cloud-based Cold Chain Management Market Outlook, By Temperature Monitoring Software (2022-2030) ($MN)
9 Global Cloud-based Cold Chain Management Market Outlook, By Cloud-based Analytics Software (2022-2030) ($MN)
10 Global Cloud-based Cold Chain Management Market Outlook, By Real-Time Tracking Software (2022-2030) ($MN)
11 Global Cloud-based Cold Chain Management Market Outlook, By Services (2022-2030) ($MN)
12 Global Cloud-based Cold Chain Management Market Outlook, By Consulting (2022-2030) ($MN)
13 Global Cloud-based Cold Chain Management Market Outlook, By Integration & Implementation (2022-2030) ($MN)
14 Global Cloud-based Cold Chain Management Market Outlook, By Maintenance & Support (2022-2030) ($MN)
15 Global Cloud-based Cold Chain Management Market Outlook, By Transportation (2022-2030) ($MN)
16 Global Cloud-based Cold Chain Management Market Outlook, By Land-Based (2022-2030) ($MN)
17 Global Cloud-based Cold Chain Management Market Outlook, By Air-Based (2022-2030) ($MN)
18 Global Cloud-based Cold Chain Management Market Outlook, By Sea-Based (2022-2030) ($MN)
19 Global Cloud-based Cold Chain Management Market Outlook, By Rail-Based (2022-2030) ($MN)
20 Global Cloud-based Cold Chain Management Market Outlook, By Deployment (2022-2030) ($MN)
21 Global Cloud-based Cold Chain Management Market Outlook, By Public Cloud (2022-2030) ($MN)
22 Global Cloud-based Cold Chain Management Market Outlook, By Private Cloud (2022-2030) ($MN)
23 Global Cloud-based Cold Chain Management Market Outlook, By Temperature Range (2022-2030) ($MN)
24 Global Cloud-based Cold Chain Management Market Outlook, By Cold (2-8°C) (2022-2030) ($MN)
25 Global Cloud-based Cold Chain Management Market Outlook, By Frozen (-18°C or Lower) (2022-2030) ($MN)
26 Global Cloud-based Cold Chain Management Market Outlook, By Ambient (10-25°C) (2022-2030) ($MN)
27 Global Cloud-based Cold Chain Management Market Outlook, By Technology (2022-2030) ($MN)
28 Global Cloud-based Cold Chain Management Market Outlook, By Internet of Things (IoT) (2022-2030) ($MN)
29 Global Cloud-based Cold Chain Management Market Outlook, By Blockchain (2022-2030) ($MN)
30 Global Cloud-based Cold Chain Management Market Outlook, By Artificial Intelligence (AI) & Machine Learning (2022-2030) ($MN)
31 Global Cloud-based Cold Chain Management Market Outlook, By Big Data Analytics (2022-2030) ($MN)
32 Global Cloud-based Cold Chain Management Market Outlook, By GPS & Real-Time Tracking (2022-2030) ($MN)
33 Global Cloud-based Cold Chain Management Market Outlook, By Other Technologies (2022-2030) ($MN)
34 Global Cloud-based Cold Chain Management Market Outlook, By End User (2022-2030) ($MN)
35 Global Cloud-based Cold Chain Management Market Outlook, By Food & Beverages (2022-2030) ($MN)
36 Global Cloud-based Cold Chain Management Market Outlook, By Healthcare (2022-2030) ($MN)
37 Global Cloud-based Cold Chain Management Market Outlook, By Chemicals (2022-2030) ($MN)
38 Global Cloud-based Cold Chain Management Market Outlook, By Agriculture (2022-2030) ($MN)
39 Global Cloud-based Cold Chain Management Market Outlook, By Logistics & Transportation (2022-2030) ($MN)
40 Global Cloud-based Cold Chain Management Market Outlook, By Other End Users (2022-2030) ($MN)
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
List of Figures
RESEARCH METHODOLOGY
We at ‘Stratistics’ opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.
Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.
Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.
Data Mining
The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.
Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.
Data Analysis
From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:
- Product Lifecycle Analysis
- Competitor analysis
- Risk analysis
- Porters Analysis
- PESTEL Analysis
- SWOT Analysis
The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.
Data Validation
The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.
We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.
The data validation involves the primary research from the industry experts belonging to:
- Leading Companies
- Suppliers & Distributors
- Manufacturers
- Consumers
- Industry/Strategic Consultants
Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.
For more details about research methodology, kindly write to us at info@strategymrc.com
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