AI IoT Food Freshness Monitors Tools Market Research Report - Size, Share, Growth, and Trend Analysis | Forecast (2025 - 2030)
AI IoT Food Freshness Monitors Tools Market (2025-2030)
What are AI IoT Food Freshness Monitors Tools?
AI IoT Food Freshness Monitors Tools are advanced systems that integrate artificial intelligence and Internet of Things (IoT) technologies to assess, monitor, and predict the freshness and quality of food products in real-time. These tools utilize smart sensors, machine learning algorithms, and cloud connectivity to ensure optimal food safety, reduce waste, and enhance supply chain efficiency.
The market presents disruptive potential by introducing innovative, real-time solutions to food freshness management. The tools are new by enabling unprecedented transparency, easy with automated integration into existing systems, safe through proactive risk mitigation, and big in reducing waste on a global scale, thereby contributing to sustainability goals.
Key market players
- Giant Eagle
- Wiliot IoT Food Monitoring
- FreshSurety
- Zebra Medical Vision
- Senseye Predictive Maintenance
- Honeywell Food Safety
- BASF Freshness Monitoring System
- Vivotek IoT Sensors for Food Monitoring
- Fermencap AI Freshness Sensor
- Refrigerated Transport Monitoring System by Orbcomm
- SmartSense by Digi
Case study
FreshSurety implemented AI-powered freshness monitors for a major grocery chain, reducing produce waste by 25% while enhancing customer trust through consistent product quality, establishing a strong competitive edge.
Popularity, related activities, and key statistics
- Growing demand for sustainable food supply chains has driven adoption of freshness monitoring tools in retail and logistics.
- 70% of consumers prioritize purchasing fresh food, spurring retailers to invest in real-time monitoring technologies.
Market Segmentation:
By Type
- Sensor-based Solutions
- Temperature Sensors
- Humidity Sensors
- Gas Sensors
- Optical Sensors
- Software-based Solutions
- Predictive Analytics Tools
- AI-powered Algorithms
- Cloud-based Monitoring Platforms
- Integrated Solutions
- End-to-End IoT Monitoring Systems
- AI-enabled Supply Chain Platforms
By End User
- Food Retailers
- Supermarkets
- Convenience Stores
- Online Grocery Platforms
- Food Producers
- Agriculture Producers
- Processed Food Manufacturers
- Food Logistics Providers
- Cold Chain Logistics Companies
- Warehousing and Storage Solutions
- Hospitality and Catering
- Restaurants and Hotels
- Catering Service Providers
- Government and Regulatory Bodies
- Food Safety Authorities
- Public Health Monitoring Agencies
What’s in it for you?
- Identify emerging opportunities for investment and partnerships in IoT and AI solutions.
- Gain insights into the evolving dynamics of food freshness monitoring and its potential to reshape global supply chains.
- Develop strategies to leverage AI and IoT for sustainable and profitable food management.
AI IoT Food Freshness Monitors Tools Market Analysis
1. AI IoT Food Freshness Monitors Tools Market - Scope & Methodology
1.1. Market Overview
1.2. Market Segmentation
1.3. Assumptions & Limitations
1.4. Research Methodology
1.5. Primary Sources & Secondary Sources
1.6. Market Voice – Key Opinion Leaders
2. Executive Summary
2.1 Market Size & Forecast – (2025 – 2030) ($M/$Bn)
2.2 Key Trends & Insights
2.2.1 Demand Side
2.2.2 Supply Side
2.3 Attractive Investment Propositions
2.4 COVID-19 Impact Analysis
3. Competition Scenario
3.1. Market Share Analysis
3.2. Company Benchmarking
3.3. Competitive Strategy & Development Scenario
3.4. Competitive Pricing Analysis
3.5. Supplier & Distributors Analysis
4. Entry Scenario4.1 Regulatory Scenario
4.2 Case Studies – Key Start-ups
4.3 Customer Analysis
4.4 PESTLE Analysis
4.5 Porters Five Force Model
4.5.1 Bargaining Power of Suppliers
4.5.2 Bargaining Powers of Customers
4.5.3 Threat of New Entrants
4.5.4 Rivalry among Existing Players
4.5.5 Threat of Substitutes
5. Landscape
5.1. Value Chain Analysis – Key Stakeholders Impact Analysis
5.2. Key 10 Market Impact Factors
5.3. Market Drivers
5.4. Market Restraints/Challenges
5.5. Market Opportunities
6. By Type
6.1. Sensor-based Solutions
6.1.1. Temperature Sensors
6.1.2. Humidity Sensors
6.1.3. Gas Sensors
6.1.4. Optical Sensors
6.2. Software-based Solutions
6.2.1. Predictive Analytics Tools
6.2.2. AI-powered Algorithms
6.2.3. Cloud-based Monitoring Platforms
6.3. Integrated Solutions
6.3.1. End-to-End IoT Monitoring Systems
6.3.2. AI-enabled Supply Chain Platforms
7. By End User
7.1. Food Retailers
7.1.1. Supermarkets
7.1.2. Convenience Stores
7.1.3. Online Grocery Platforms
7.2. Food Producers
7.2.1. Agriculture Producers
7.2.2. Processed Food Manufacturers
7.3. Food Logistics Providers
7.3.1. Cold Chain Logistics Companies
7.3.2. Warehousing and Storage Solutions
7.4. Hospitality and Catering
7.4.1. Restaurants and Hotels
7.4.2. Catering Service Providers
7.5. Government and Regulatory Bodies
7.5.1. Food Safety Authorities
7.5.2. Public Health Monitoring Agencies
8. By Geography
8.1. North America
8.1.1. U.S.A.
8.1.2. Canada
8.1.3. Mexico
8.2. Europe
8.2.1. U.K.
8.2.2. Germany
8.2.3. France
8.2.4. Italy
8.2.5. Spain
8.2.6. Rest of Europe
8.3. Asia Pacific
8.3.1. China
8.3.2. Japan
8.3.3. South Korea
8.3.4. India
8.3.5. Australia & New Zealand
8.3.6. Rest of Asia-Pacific
8.4. South America
8.4.1. Brazil
8.4.2. Argentina
8.4.3. Colombia
8.4.4. Chile
8.4.5. Rest of South America
8.5. Middle East & Africa
8.5.1. United Arab Emirates (UAE)
8.5.2. Saudi Arabia
8.5.3. Qatar
8.5.4. Israel
8.5.5. South Africa
8.5.6. Nigeria
8.5.7. Kenya
8.5.8. Egypt
8.5.9. Rest of MEA
9. Company Profiles
9.1. Giant Eagle
9.2. Wiliot IoT Food Monitoring
9.3. FreshSurety
9.4. Zebra Medical Vision
9.5. Senseye Predictive Maintenance
9.6. Honeywell Food Safety
9.7. BASF Freshness Monitoring System
9.8. Vivotek IoT Sensors for Food Monitoring
9.9. Fermencap AI Freshness Sensor
9.10. Refrigerated Transport Monitoring System by Orbcomm
9.11. SmartSense by Digi
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