(MENAFN- America News Hour) MarketStudyReport.com
Adds New Report Data Annotation Tools Market 2020 – 2026 research report
providing information and data By Data Type, By Annotation Approach, By
Application, Regional Outlook, Growth Potential, Competitive Market Share &
Forecast spreading across 230 Pages with table and figures in it.
Global data annotation tools market growth is
characterized by the seamless transition of raw unstructured data into
insightful and useful Business Intelligence (BI) by machine learning facilities
with human guidance, through the use of data annotation tools. Data annotation
refers to the labelling of data in myriad forms, from video, audio, image,
text, etc.
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With
regards to data type, the data annotation tools market is categorized into
image/video, audio and text. Of these, the image/video data annotation tools
industry from the polygonal annotation segment is poised to depict a CAGR of
nearly 40% through 2026. This growth is ascribed largely to accurate object
detection as well as image/video localization properties.
Irregularly
shaped or coarse object are difficult to detect for computer vision-based
machines, unless they have been accurately labelled. Polygon annotation helps
annotators to precisely plot the outlines of target objects, irrespective of
their shape. Through this method, the exact edges of the object can be
outlined, after which the pixels within the annotated outlines are tagged with
the appropriate label to describe the object.
Computer
vision and natural language processing-based artificial intelligence has
numerous favorable applications, particularly in healthcare. The healthcare
application segment is expected to account for nearly 20% of the total data
annotation tools market share over the forecast period, owing to the robust use
of the technology for medical image labelling.
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Data annotation tools are used extensively in
numerous medical disciplines including cardiology, pathology, oncology,
radiology and even psychiatry, to detect patterns, facilitate diagnoses and
establish treatment plans.
Data annotation in the medical sector involves
recognizing disease or pathological markers for other medical properties, for
instance in drawing outlines around tumors, designation ECG rhythm strips and
pinpointing cells, among others.
With regards to the regional spectrum, North
America held over 40% of the global data annotation tools industry share in
2019, as a result of rising prevalence of AI startups in the region.
To illustrate, Dataminr, an AI and machine
learning startup based in New York, raised funding of over $392 million in
2018. The company is involved in providing comprehensive insights on
information and news in real time.
Likewise, Scale AI, a San Francisco-based startup
dealing with data annotation closed a blockbuster funding round of $100 million
in 2019. This expansion was made possible by the firm''s vast range of data
annotation services, especially for autonomous driving clients including Waymo,
Lyft, and the Toyota Research Institute.
Table
of content:
Chapter 1. Methodology & Scope
1.1.
Methodology
1.1.1. Initial data exploration
1.1.2. Statistical model and forecast
1.1.3. Industry insights and validation
1.1.4. Scope
1.1.5. Definitions
1.1.6. Methodology & forecast parameters
1.2.
Data Sources
1.2.1. Secondary
1.2.1.1.
Paid sources
1.2.1.2.
Public sources
1.2.2. Primary
Chapter 2.
Executive Summary
2.1.
Data annotation tools industry 360 degree synopsis, 2015 - 2026
2.2.
Business trends
2.3.
Regional trends
2.4.
Data type trends
2.5.
Annotation approach trends
2.6.
Application trends
Chapter 3.
Data Annotation Tools Industry Insights
3.1.
Introduction
3.2.
Industry segmentation
3.3.
Industry landscape, 2015 - 2026
3.4.
Evolution of data annotation tools
3.5.
Data annotation tools industry architecture
3.6.
Data annotation tools industry ecosystem analysis
3.7.
Technology & innovation landscape
3.7.1. Pseudo labeling
3.7.2. Online content moderation
3.8.
Regulatory landscape
3.8.1. North America
3.8.1.1.
NIST Special Publication 800-144 - Guidelines on Security and Privacy in
Public Cloud Computing (U.S.)
3.8.1.2.
Health Insurance Portability and Accountability Act (HIPAA) of 1996
(U.S.)
3.8.1.3.
Personal Information Protection and Electronic Documents Act [(PIPEDA)
Canada]
3.8.2. Europe
3.8.2.1.
General Data Protection Regulation (EU)
3.8.2.2.
German Privacy Act (Bundesdatenschutzgesetz- BDSG)
3.8.3. APAC
3.8.3.1.
Information Security Technology- Personal Information Security
Specification GB/T 35273-2017 (China)
3.8.3.2.
Secure India National Digital Communications Policy 2018 - Draft (India)
3.8.4. Latin America
3.8.4.1.
National Directorate of Personal Data Protection (Argentina)
3.8.4.2.
The Brazilian General Data Protection Law (LGPD)
3.8.5. MEA
3.8.5.1. Law No. 13 of 2016 on protecting personal data (Qatar)
Related Report:
Global Data Annotation Tool Market Size, Status
and Forecast 2019-2025
Data
annotation tools enable users to enhance the value of data by adding attribute
tags to it or labeling it. The key benefit of using such tools is that the
combination of data attributes enables users to manage the data definition at a
single location and eliminates the need to rewrite similar rules in multiple
places.
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