Vision Positioning System Market Will Reach at a Highest CAGR of 11.15% by 2026 with top Key players Navigine, HTS, Scape, OMRON, Cognex, ABB, Senion, SICK

Press Release

When you revisit a mapped area, the technology will relocate your device instantly in that map. The VPS uses your phone’s camera and Google’s extensive back-end data to analyze your surroundings to identify where you are with greater accuracy. Visual search is one of the most complex and fiercely competed sectors of our industry. Earlier this month, Bing announced its new visual search mode, hot on the heels of similar developments from Pinterest and Google. The search industry has developed significantly over the past decade, through advances in personalization, natural language processing, and multimedia results. And yet, one could argue that the power of the image remains untapped.

Global Vision Positioning System Market is expected to rise from its initial estimated value of USD 6.08 billion to an estimated value of USD 14.16 billion by 2026, registering a CAGR of 11.15% in the forecast period of 2019-2026.

Prominent Players of this Market are: LOCATA CORPORATION PTY.; Navigine; HTS;  Scape Technologies Ltd;  OMRON Corporation and Maxar Technologies, ABB; ADTECH (SHENZHEN) TECHNOLOGY; Quest Solution; Pepperl+Fuchs; Cognex Corporation; Parrot Drones SAS; FANUC CORPORATION; Senion; SICK AG; Seegrid Corporation; DJI; infsoft GmbH;

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This Vision Positioning System market report considers various factors that have direct or indirect effect on the development of business which includes historic data, present market trends, environment, technological innovation, upcoming technologies and the technical progress in the industry. This report contains a chapter on the international Vision Positioning System market and all its associated companies with their profiles, which provides helpful data pertaining to their outlook in terms of finances, product portfolios, investment plans, and marketing and business strategies. The problems managed in this report are from different functional areas of marketing and include consumer behaviour, product, sales, distribution channel, pricing, ad and physical distribution.

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Market Drivers:

  • Rapid adoption of automated systems and industrial automation amid growth of Industry 4.0
  • Increasing levels of usage of robotic systems in commercial and aerospace & defense industries expected to drives the growth of the market.

Table of Contents

1 Introduction

2 Research Methodology

3 Executive Summary

4 Premium Insights

5 Market Overview and Industry Trends

6 Product Vision Positioning System Market, By Type

7 Product Vision Positioning System Market, By Organization Size

8 Product Vision Positioning System Market Analysis, By Region

9 Competitive Landscape

10 Company Profiles

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Market Restraints:

  • Strict regulations and compliances regarding the usage of drones from the various authorities of different regions; this factor is expected to restrain the market growth
  • Concerns regarding malfunctioning of systems such as cameras, sensors is expected to restrain the market growth

Segmentation: Vision Positioning System Market

By Component (Sensors, Camera Systems, Markers, Others),

By Location (Indoor Positioning System, Outdoor Positioning System),

By Type (1D, 2D, 3D),

By Solution (Navigation, Analytics, Tracking, Industrial Solutions, Others),

By Platform (UAVs/Drones, AGV, Robotics, Space Vehicle, AUV, Others),

By Application (Commercial Application, Defense Application),

By End-User (Retail, Healthcare, Industrial, Transportation & Logistics, Hospitality, Aerospace & Defense, Automotive, Electrical & Electronics, BFSI),

By Geography (North America, South America, Europe, Asia-Pacific, Middle East and Africa)

 Key Developments in the Market:

  • In January 2019, Scape Technologies Ltd announced they had raised USD 8 million seed investment for the development of their visual positioning system which is able to provide centimeter-accurate locations for cities. Their VPS (visual positioning system) will be able to differentiate between the objects of the environment

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