Proximity Sensors

This Proximity Sensors market research delivers current market analysis plus a five year market and technology forecast.  It is available in multiple editions including worldwide, all regions, and most major countries. The research covers Smart Sensors, Sensor-to-Cloud, IO-Link and CompoNet, Capacitive Sensors, Inductive Sensors, Ultrasonic Sensors, Intelligent Devices and Industrial IoT, Strategic Analysis, Market Size, Industry Trends, Historical Analysis.

Proximity Sensors Market Driven by Demand for Digitalization 

ARC Advisory Group research reveals that the Proximity Sensors market grew by high-single digits in 2022. Digital transformation is driving the demand for proximity sensors in automation. These sensors play a crucial role in precise object detection, enabling seamless operation and supporting smart manufacturing. With various types and designs available, proximity sensors contribute to improved efficiency and connectivity in digitalized industries. ARC’s Proximity Sensors research provides a detailed analysis of proximity sensor technologies, such as inductive, capacitive, and ultrasonic, which are used across a wide range of industries across the globe.

Proximity Sensors Strategic Issues

In addition to providing a five-year market forecast, the Proximity Sensors market research provides detailed quantitative current market data and addresses key strategic issues as follows.

Focus on Asset and Energy Management

End users have begun to better realize the contributions of proper maintenance in keeping physical assets in good working conditions to avoid business interruption and improve profitability as well as plant safety. Growth and spending for plant asset management (PAM) systems continue to rise as manufacturers seek to determine the condition of equipment as a means of increasing asset utilization. To get the full benefit of their PAM systems, users will have further incentive, apart from higher accuracy and better performance, to upgrade their older devices to new smart devices that offer greater intelligence and diagnostic functionality.

Improving energy efficiency has also become imperative for many manufacturing companies; one that reduces costs and increases efficiency when energy-intensive equipment creates bottlenecks in the plant. Efficient energy usage has a positive impact on asset maintenance costs, equipment lifecycle costs, safety, and overall emissions.

Selection of Sensors and How Installed Is Critical

Although advances have been made in the field of machine data collection and analysis, the selection of sensors and the way they are installed on a machine remain critical factors in determining the success of any health monitoring system. Investments made for installing superior sensors are a prudent investment since the information provided about the machine of interest is accurate and reliable. Poor quality sensors and inadequate installation can easily give misleading data or, in some cases, cause a critical machine condition to be completely overlooked.

A typical sensor is designed to transmit critical operating information of the machine for the safety of both the machine and the personnel operating the machine. The measurement of proper data and the selection of a proper sensor are critical for industrial companies. Industrial companies need to identify the right sensor supplier for better performance of the machine.

Focus on Business Outcomes

Savvy customers recognize that Industrial IoT should be pursued not just for technology’s sake, but to achieve concrete business outcomes. Early industrial implementations tend to emphasize maximizing performance outcomes in areas such as reduced machine downtime, incremental performance improvements, and cost savings for service operations. Industrial IoT solutions enable these outcomes through applications such as analytics and ML-based predictive maintenance capabilities, although the spectrum of targeted activity continues to broaden.

Strategic focus on connecting operations, end products, and/or service capabilities should determine the best solution for delivering the desired outcome. “Do you require a solution for your own internal production operations, and/or for the end products you manufacture and service?” Potential solutions should be based on these desired outcomes and applications, since the offerings available vary as to how well they service each possibility.