Breakthrough Sensor Innovations in Food and Beverage Sector

Breakthrough Sensor Innovations in Food and Beverage Sector

Sensors, Big Data, Blockchain and Artificial Intelligence Drive Growth Opportunities

RELEASE DATE
31-Dec-2018
REGION
Global
Research Code: D88C-01-00-00-00
SKU: ES01080-GL-TR_22756

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Description

Smart sensors transform conventional industrial machines into connected ones via Internet. Connected industrial machines integrated with smart sensors are smart electronic devices, which can be remotely retrieved, observed, and measured using personal computers, laptops and smartphones. In the food manufacturing process, sensors are built for detecting and identifying contaminants in food quality and food safety applications. Mostly, the sensors are built and utilized “in-line” and are directly integrated with the current manufacturing lines.
Advancements in sensors for food and beverage industry are enabling key benefits such as process monitoring, shelf-life investigation, freshness evaluation, authenticity assessment and other quality control studies. Notable sensor advancements area include: materials, manufacturing processes, smaller footprint, lower power consumption, increased sensitivity and specificity, and device integration. Sensor technology along with Artificial Intelligence, Big Data analytics, and IoT- enabled devices will open up new opportunities in the future.
Key Questions answered in the Technology and Innovation Report
1. What is the significance of sensors in the food and beverage industry?
2. What are the technology trends and key enabling technologies?
3. What are the factors that influence technology development and adoption?
4. Who are the key innovators driving developments?
5. What are the opportunities based on patent and funding trends?
6. What are the future prospects of the technology?
7. What sort of strategies do OEMs need to embrace to gain entry and sustain the competitive marketplace?

Table of Contents

1.1 Scope of the Technology and Innovation Research

1.2 Research Methodology

1.3 Research Methodology Explained

1.4 Summary of Key Findings

1.4 Summary of Key Findings (continued)

2.1 Role of Sensors in the Food and Beverage Industry

2.2 Networking and Communication Technologies Driving Food and Beverage Sector

2.3 Key Sensor Technologies Enabling Growth in Food and Beverage Industry

3.1 Factors Influencing Connected Industrial Machine Adoption in the Food and Beverage Sector

3.2 Push towards Food Safety and Advent of Internet-of-Things are Driving Factors

3.3 Factors Hindering Sensors for Connected Industrial Machine Adoption in the Food and Beverage Sector

3.4 Sensor Reliability Issues and Stringent Regulations are Key Challenges

4.1 Global Patent Trend Analysis

4.2 Funding Trends Shows High Interest from Government for Food Safety Applications

4.3 Funding Boosts Growth Opportunities in the Food and Beverage Sector

5.1 Monnit Corporation - Wireless Air Quality Sensor for Detecting Particulate Matter in the Air

5.2 PIL Sensoren GmbH - Ultrasonic Sensor for Industrial Applications

5.3 American Semiconductor, Inc. – RFID Tags Determining Food Product Temperature

5.4 Insort GmbH – Image Sensing Technique for Detecting Foreign Bodies in Food

5.5 Pyreos Ltd. - Novel Pyroelectric Sensor for Industrial Applications

5.6 SONOTEC Ultraschallsensorik Halle GmbH – Sensor for Gas Leakage Detection

5.7 Spectral Engines Oy – MEMS based Sensors for Food Safety Applications

5.8 RS Components – Optical Sensors for Food Processing Applications

5.9 University based Innovations Facilitating Food Safety Applications

5.10 Key Research Developments Aiding Food Infrastructure Management

6.1 Digitization Impact on Food and Beverage Industry

6.2 Convergence Scenarios of Cobots and AI Boost Growth Opportunities in Food and Beverage Sector

6.3 Analyst Insights regarding Growth Opportunities for the Food and Beverage Sector

6.4 Key Strategies and Technologies Expected to Highly Impact the Food and Beverage Sectors

7.1 Key Patents – Product Locating and Notification System

7.2 Key Patents – Bacterial Contaminants and Culture Specimen Sampling in Container

7.3 Key Patents – Automated Container Monitoring and Food Intake Assessment

7.4 Key Patents – Optical Recognition System and Printed Can Lid

8.1 Key Industry Contacts

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Related Research
Smart sensors transform conventional industrial machines into connected ones via Internet. Connected industrial machines integrated with smart sensors are smart electronic devices, which can be remotely retrieved, observed, and measured using personal computers, laptops and smartphones. In the food manufacturing process, sensors are built for detecting and identifying contaminants in food quality and food safety applications. Mostly, the sensors are built and utilized “in-line” and are directly integrated with the current manufacturing lines. Advancements in sensors for food and beverage industry are enabling key benefits such as process monitoring, shelf-life investigation, freshness evaluation, authenticity assessment and other quality control studies. Notable sensor advancements area include: materials, manufacturing processes, smaller footprint, lower power consumption, increased sensitivity and specificity, and device integration. Sensor technology along with Artificial Intelligence, Big Data analytics, and IoT- enabled devices will open up new opportunities in the future. Key Questions answered in the Technology and Innovation Report 1. What is the significance of sensors in the food and beverage industry? 2. What are the technology trends and key enabling technologies? 3. What are the factors that influence technology development and adoption? 4. Who are the key innovators driving developments? 5. What are the opportunities based on patent and funding trends? 6. What are the future prospects of the technology? 7. What sort of strategies do OEMs need to embrace to gain entry and sustain the competitive marketplace?
More Information
No Index No
Podcast No
Author Varun B
Industries Electronics and Sensors
WIP Number D88C-01-00-00-00
Is Prebook No