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Technavio’s market research study has identified the growing demand for industrial automation to be one of the primary growth factors for the reflective photoelectric sensor market. Industrial automation helps in enhancing the production of industries by involving the usage of different technologies and automatic control devices to operate the process automatically. Reflective photelectric sensors detect ferrous and non-ferrous metal and non-metal objects and provide reliable identification among products based on color. Additionally, these sensors can also detect automation errors and monitor speed and quality of the production line. With the growing adoption of automation in the food processing, material handling, packaging, and transportation sectors, the demand for these sensors will increase in the coming years. Our market analysts have estimated that this market will grow steadily at a CAGR of close to 8% by 2021.
Smart photoelectric sensors are equipped with inbuilt intelligence that optimizes adjustments and enhances the reliability. Additionally, the inbuilt microprocessors offer accurate adjustments and optimize the sensing reliability to offer improved self-diagnostics. Since consumers are increasingly demanding for higher levels of reliability and security, the demand for the implementation of smart sensors and IoT applications will considerably increase in the coming years. According to our industry research and analysis, the increasing implementation of smart photoelectric sensors will be one of the key trends that will propel the growth of the reflective photoelectric sensor market.
The reflective photoelectric sensor market is fragmented due to the presence of several international, regional, and local players who offer innovative products. Owing to the rapid technological advancements and the adoption of modern technologies, the competition among the vendors in this market is steadily increasing. To consolidate their market share, the players are also engaging in M&A activities.
The leading vendors in the market are
The other prominent vendors in the market are Autonics, Balluff, Banner Engineering, Baumer, Eaton, IFM Electronic, Pepperl+Fuchs, Schneider Electric, and Sick.
The manufacturing industries are adopting automation since it provides several advantages such as reduced costs, ease of production, energy and material savings, accuracy, better productivity, precision, and improved quality. with the utilization of industrial robots for various purposes including milling and processing, assembling and dissembling, and painting, the coming years will witness considerable growth of the reflective photoelectric sensors market in this segment.
Retro-reflective photoelectric sensors provide several advantages such as reliability in operation, flexibility in application, better polarization, and precision sensing. Additionally, these sensors are also easy to align and provide improved functionality, improved communication capabilities, and reliable object detection. According to our analysts, the retro-reflective photoelectric sensors market segment will account for the maximum share of the reflective photoelectric sensor market throughout the next few years.
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PART 01: EXECUTIVE SUMMARY
PART 02: SCOPE OF THE REPORT
PART 03: RESEARCH METHODOLOGY
PART 04: INTRODUCTION
PART 05: MARKET LANDSCAPE
PART 06: MARKET SEGMENTATION BY APPLICATION
PART 07: MARKET SEGMENTATION BY TECHNOLOGY
PART 08: REGIONAL LANDSCAPE
PART 09: DECISION FRAMEWORK
PART 10: DRIVERS AND CHALLENGES
PART 11: MARKET TRENDS
PART 12: VENDOR LANDSCAPE
PART 13: KEY VENDOR ANALYSIS
Research Framework
Technavio presents a detailed picture of the market by way of study, synthesis, and summation of data from multiple sources. The analysts have presented the various facets of the market with a particular focus on identifying the key industry influencers. The data thus presented is comprehensive, reliable, and the result of extensive research, both primary and secondary.
INFORMATION SOURCES
Primary sources
Secondary sources
DATA ANALYSIS
Data Synthesis
Data Validation
REPORT WRITING
Qualitative
Quantitative
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