Crowd-Sourced Data Collection Market

1
Crowd-Sourced Data Collection Market Size
Projected to Garner Significant Revenues By 2023
2030
Crowd-Sourced Data Collection Market Global
Demand Analysis Opportunity Outlook 2030
which delivers detailed overview of the global
crowd-sourced data collection market in terms of
market segmentation by platform type, end user,
and by region. Further, for the in-depth
analysis, the report encompasses the industry
growth indicators, restraints, supply and demand
risk, along with detailed discussion on current
and future market trends that are associated with
the growth of the market. The global
crowd-sourced data collection market is expected
to garner a large revenue by growing at a
notable CAGR throughout the forecast period,
i.e., 2022 2030, owing to the rising
implementation of artificial intelligence into
several crowd sourcing platforms, and increasing
advancements in crowd-sourced data collection
techniques. Furthermore, growing investments by
companies for developing innovative machine
learning concepts is also estimated to fuel the
expansion of market in the coming years. Read
more _at_ https//www.researchnester.com/reports/crow
d-sourced-data- collection-market/3459 Growing
Implementation of AI into Crowd-Sourcing
Platforms to Drive Market Growth Over the last
few years, researchers working on artificial
intelligence are involved in implementing
different approaches for combining AI and crowds
to make effective choices and developing data
labeling for machine learning. This is considered
to be a crucial factor projected to boost the
growth of the market in the upcoming years.
2

• According to recent study by Research Nester, the
  commercial telematics market size is anticipated
  to surpass USD XX Bn by 2029 and is projected to
  expand at CAGR of over 14.3 from 2022 to 2029.
• Major players include in the global Crowd-Sourced
  Data Collection Market
• SoundHound Inc.
• Uber Technologies Inc.
• Kaggle Inc.
• Ponoko Inc.
• Mechanical Turk, Inc.
• TrendWatching BV
• Carmera, Inc.
• Hive Technology, Inc.
• Lusha Ltd.
• DIVEVIZ
• LLC
• Get Your Free Sample Copy of this Report
  _at_https//www.researchnester.com/sample-request-345
  9
• The market is segmented on the basis of platform
  type and end user. On the basis of platform
  type, the managed service platform segment is
  anticipated to gather the largest share during
  the forecast period in view of the ability of
  this platform to upgrade systems as needed,
  without requirement of outside employees.
  Additionally, based on end user, the IT
  telecommunication segment is expected to grab the
  largest market share during the forecast period
  owing to the benefits provided by crowd sourcing
  for launching software updates to improve
  performance.
• Regionally, the global crowd-sourced data
  collection market is segmented into five major
  regions including North America, Europe, Asia
  Pacific, Latin America and the Middle East
  Africa. Asia Pacific is expected to witness the
  highest growth in the market over the forecast
  period, which can be attributed to the escalating
  establishment

3
of startups in the IT sector and rising
technological advancements in data crowdsourcing
in the region. The research was global in nature
and conducted in North America (U.S., Canada),
Europe (U.K., Germany, France, Italy, Spain,
Hungary, Belgium, Netherlands Luxembourg,
NORDIC (Finland, Sweden, Norway, Denmark),
Poland, Turkey, Russia, Rest of Europe), Latin
America (Brazil, Mexico, Argentina, Rest of Latin
America), Asia- Pacific (China, India, Japan,
South Korea, Indonesia, Singapore, Malaysia,
Australia, New Zealand, Rest of Asia-Pacific),
Middle East and Africa (Israel, GCC (Saudi
Arabia, UAE, Bahrain, Kuwait, Qatar, Oman),
North Africa, South Africa, Rest of Middle East
and Africa). In addition, areas like Market
size, Y-O-Y growth Opportunity Analysis, market
players competitive study, investment
opportunities, demand for future outlook etc.
have been covered and displayed in the research
report to ensure it dives deep to achieve
strategic competitive intelligence in the
segment. However, less awareness about
crowd-sourced data collection in lower economic
regions is expected to operate as key restraint
to the growth of the global crowd- sourced data
collection market over the forecast period. This
report also provides the existing competitive
scenario of some of the key players of the
global crowd-sourced data collection market which
includes company profiling of SoundHound Inc.,
Uber Technologies Inc., Kaggle Inc., Ponoko Inc.,
Mechanical Turk, Inc., TrendWatching BV,
Carmera, Inc., Hive Technology, Inc., Lusha Ltd.,
DIVEVIZ, LLC and others. The profiling enfolds
key information of the companies which
encompasses business overview, products and
services, key financials and recent news and
developments. On the whole, the report depicts
detailed overview of the global crowd-sourced
data collection market that will help industry
consultants, equipment manufacturers, existing
players searching for expansion opportunities,
new players searching possibilities and
4
other stakeholders to align their market centric
strategies according to the ongoing and expected
trends in the future. The Final Report will
cover the impact analysis of COVID-19 on this
industry. Buy a Copy of this Strategic Report
to drive your Business Growth _at_https//www.resear
chnester.com/purchage/purchase_product.php?token3
459 Research Nester is a one-stop service
provider, leading in strategic market research
and consulting with an unbiased and unparalleled
approach towards helping global industrial
players, conglomerates and executives to make
wise decisions for their future investment and
expansion by providing them qualitative market
insights and strategies while avoiding future
uncertainties. We believe in honesty and sheer
hard work that we trust is reflected in our work
ethics. Our vision is not just limited to gain
the trust of our clients but also to be equally
respected by our employees and being appreciated
by the competitors. For more information,
please contact AJ Daniel Research Nester Email
info_at_researchnester.com Tel [phone]