New York, October 12, 2018: The Parcel Sortation Systems Market is expected to exceed more than US$ 2 Billion by 2024 at a CAGR of 9% in the given forecast period.
The scope of the report includes a detailed study of Parcel Sortation Systems Market with the reasons given for variations in the growth of the industry in certain regions.
Deep Learning is a subfield of machine learning concerned with algorithms inspired by the structure and function of the brain called artificial neural networks.
The report covers detailed competitive outlook including the market share and company profiles of the key participants operating in the global market. Key players profiled in the report Dematic, Muratec, Vanderlande, BEUMER Group, Intelligrated, Fives, Bastian Solutions, Siemens, Interroll, and Invata Intralogistics. Company profile includes assign such as company summary, financial summary, business strategy and planning, SWOT analysis and current developments.
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The Parcel Sortation Systems Market is segmented on the Basis of Offering Type, Type, End-User Type and Regional Analysis. By Offering Type this market is segmented on the basis of Hardware, Pressure Sensors, Diverters, Software and Services. Hardware is segmented into Processors, Cameras and Sensors. Pressure Sensors is segmented into Analog Flow Sensors, Displacement Sensors, Proximity Sensors and Optical Sensors. Diverters is segmented into Electrical and Mechanical Components and Displays.
By Type this market is segmented on the basis of Linear Parcel Sortation Systems and Loop Parcel Sortation Systems. Linear Parcel Sortation Systems is segmented into Arb Sorters, Linear/Vertical Belt Sorters, Pop-Up/Narrow Belt Sorters, Shoe Sorters, Small Parcel Sorters, Paddle Sorters, Pusher Sorters, Loop Parcel Sortation Systems, Cross-Belt Sorters (Horizontal), Flat Sorters/Bomb Bay Sorters and Tilt Tray Sorters. By End-User Type this market is segmented on the basis of E-commerce, Logistics, Pharmaceuticals, Airports and Food and Beverages. By Regional Analysis this market is segmented on the basis of North America, Europe, Asia Pacific, Latin America, Middle East and Africa.
The major driving factors of Deep Learning Market are as follows:
- Introduction of latest hardware for deep learning applications
- Improvement in deep learning algorithms
- Increased penetration in huge information analytics
The major restraining factors of Deep Learning Market are as follows:
- Measurability of deep learning models
- Requirement of huge amount of training data for recognition
This report provides:
1) An overview of the global market for Parcel Sortation Systems Market and related technologies.
2) Analyses of global market trends, with data from 2015, estimates for 2016 and 2017, and projections of compound annual growth rates (CAGRs) through 2024.
3) Identifications of new market opportunities and targeted promotional plans for Parcel Sortation Systems Market
4) Discussion of research and development, and the demand for new products and new applications.
5) Comprehensive company profiles of major players in the industry.
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Table Of Contents :
- Research Methodology
- Summary with Insights
- Market Overview
- Parcel Sortation Systems Market Analysis, By Offering
- Parcel Sortation Systems Market Analysis, By Type
- Parcel Sortation Systems Market Analysis, By End-User
- Parcel Sortation Systems Market Analysis, By Region
- Competitive Overview
- Company Profiles
10.1 Bastian Solutions
10.2 Beumer Group
10.3 Bowe Systec
10.5 Equinox Mhe
10.6 Falcon Autotech
10.8 GBI Intralogistics
10.12 Invata Intralogisitcs
10.14 OCM SRL
10.15 Okura Yusoki
10.16 Pitney Bowes
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