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Machine Vision Cameras Procurement Research Report | Published: Jun 2014

Helping businesses make better purchasing decisions, faster

Machine Vision Cameras: Procurement Research Report Highlights

Benchmark Price RFP/RFQ/Negotiation Questions
3-year Price Forecast Supply Chain Analysis
Supplier Intelligence Sample Buyer Decision Scorecard
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IBISWorld’s Machine Vision Cameras Procurement Research Report provides the latest price data and the factors underpinning price movements, such as input costs and external demand drivers. The report identifies the leading suppliers of Machine Vision Cameras and offers a strategic analysis of the key factors influencing the way the procurement market works. Data forecasts also accompany our analysis so your company can make purchasing decisions with confidence.

Report Snapshot
Price Forecast & Benchmarking
Benchmark Price
Benchmark Price
Price Change 11-14
IBISWorld Buyer
Power Score
Profit Benchmark
Profit Benchmark
Price Change 14-17
Price Change
Machine Vision Cameras - Recent Price Trend

Machine vision camera prices are expected to rise at an estimated 0.4% in the three years to 2014. Throughout this time, demand from the commercial sector steadily has increased. Machine vision is used throughout the manufacturing industry to perform sorting, quality assurance and product inspection. These products are also used throughout the mining industry for product inspection, machine... purchase to read more

Machine Vision Cameras - Total Cost of Ownership

The total cost of ownership (TCO) for machine vision cameras is medium. Initially, buyers face some searching costs to assure a camera with correct specifications is chosen. After acquisition, some setup cost is typically required, especially if the camera is being used to inspect a proprietary product or process such as mineral inspection or quality assurance. Computer and peripheral products... purchase to read more


About This ReportRelated ReportsTable of Contents

This report is intended to assist buyers of machine vision cameras. These high-tech cameras capture and scan images as a way to automatically inspect industrial processes. The image's correspondence to user-inputted parameters determines whether a product passes or fails an automatic inspection, or prompts another action from the industrial system.

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