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Data Annotation Tools Market will Register a Significant CAGR During Period 2020-2026 | 24.3% CAGR | Know the Companies List Could Potentially Benefit or Loose out From the Impact of COVID-19

06-01-2020 11:26 AM CET | Business, Economy, Finances, Banking & Insurance

Press release from: AllTheResearch

The Global Data Annotation Tools Market was valued at US$ 319.5 Mn in 2018 and is expected to reach US$ 1816.9 Mn by the year 2026, growing at a CAGR of ~24.3% by 2027.
The ripple effect of Coronavirus-COVID19 on the Data Annotation Tools Market needs to become part of strategy discussions to emerge strong. The Analyst team is meticulously tracking the impact and relevance to all the sectors in the Data Annotation Tools Market. Key data sets include Revenue Impact analysis, Disruptions and New opportunities in the Supply Chain, Revised Vendor Landscape Mix, New opportunities mapping, and more.

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Data annotation tools provide users for improving the data value by labelling & adding data attributes into it. Different combination of data characteristics helps the end-users for managing the data definition at a centralized location and eliminating the duplicity of rewriting similar standards in multiple places. Data annotation tools are majorly used to identify patterns and sense the possible injuries in computer vision..

AllTheResearch offers a most recent distributed report on Global Data Annotation Tools industry examination and figure 2019-2025 conveying key bits of knowledge and giving an upper hand to customers through a point by point report. The report contains XX pages which profoundly displays on current market investigation situation, up and coming just as future chances, income development, evaluating and gainfulness.

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Market Segmentation:
Following Top Key players are profiled in this Market Study:
Amazon Mechanical Turk, Inc., CloudApp, Playment Inc. amongst others.

By End-use Industry: IT & Telecom, BFSI, Automotive, Healthcare, Retail, Others

The Video segment accounted for the highest share in the year 2018.
Video annotation involves adding metadata to unlabelled video in order to train a machine learning algorithm. Video annotation is used to train algorithms for a variety of tasks, from simple classification to the tracking of objects across multiple frames.
Tracking human poses becomes easier with video data annotation making it easy for machines to easily detect human activity and interactions in various situations.

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Regional Analysis:
North America
Europe
Asia Pacific
LATAM
Middle East Africa

Region Analysis:
North American region is expected to hold the pole position in the data annotation tools market owing to the increasing demand for self-driving cars across the region. The major manufacturers of automobiles such as Voyage, and General Motors are also using data annotation tools. Companies like Tesla are also using the data annotation tools for its computer vision algorithms in self-driving cars.

North American countries such as US, Mexico, and Canada has utilized data annotation tool on a large database of simulated driving data to develop context aware driving systems. Semi-Supervised data annotation tool supports their research efforts for driving database creation to enable data-driven approaches in the driving domain such as driving state and maneuver classification.

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AllTheResearch
Contact Person: Rohit B.
Tel: 1-888-691-6870
Email: contactus@alltheresearch.com

About Us:
AllTheResearch was formed with the aim of making market research a significant tool for managing breakthroughs in the industry. As a leading market research provider, the firm empowers its global clients with business-critical research solutions. The outcome of our study of numerous companies that rely on market research and consulting data for their decision-making made us realise, that its not just sheer data-points, but the right analysis that creates a difference.

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