Crowed

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Crowd-Sourced Data Collection Market Exploring
the Latest Dynamics and Business Opportunities
2022 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.
• Read more _at_ https//www.researchnester.com/reports
  /crowd-sourced-data-collection- market/3459
• 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.
• 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.
• 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.

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• 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
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• 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 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

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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 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.
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