Training Dataset Market By Type, By Vertical, By Region, Industry Analysis and Forecast, 2030 - YV Intelligence
Global AI Training Dataset Market-Global Analysis and Forecast to 2030 By: Type (Text, Image/Video, Audio); Vertical (IT, Government, Automotive, Healthcare, BFSI, Others) and Geography
Global AI Training Dataset Report Overview
According to the YV Intelligence,
the “Global AI Training Dataset Market” is expected to reach USD 10500.0 million by
2030 from USD 1250.0 million in 2020. It is expected to grow at a CAGR of
23.72% during the forecast period 2021-2030. The gaining prominence of artificial
intelligence (AI) owing to the rising adoption of various data-driven
applications such as voice recognition and image recognition are the major
driving factor for the AI training dataset market. Technology advancements and
notable developments in the field of AI is further boosting the demand for AI
training dataset. However, lack of technical expertise understanding and
implementation of complex AI models hamper the market growth. Furthermore, the
growing adoption of AI in manufacturing, the concept of hyper-automation for
more efficient solution, a revolution in industry 4.0, need to achieve robotic
autonomy, a continuous revolution in autonomous vehicles, increase in the use
of AI in wellness management, diagnostics, virtual assistants, and wearables
are also influencing the demand for the AI training dataset market over the
forecast period.
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The AI training dataset market report covers a complete analysis and provides market size and forecast estimation from the year 2017 to 2030 based on various segments and sub-segments with respect to four major regions, including North America, Europe, Asia-Pacific (APAC), Latin America & Middle East and Africa (LAMEA). Furthermore, the global AI training dataset market report offers PEST analysis, NOISE analysis, improvement Venn diagram, brand recall, perceptual mapping, ecosystem/value chain analysis, Porter’s five forces analysis, and investment pocket analysis with respect to the market. By examining the data collected from primary and secondary methods, the report offers actionable insights into future growth based on inputs from industry experts to help readers formulate effective strategies. This information can help decision makers to take appropriate decisions in the current market conditions.
North America dominated the overall AI
training dataset market followed by Europe and APAC region. North America held
the largest share of the market, estimated at 40.7% in 2020. R&D in
healthcare, autonomous vehicles, and cybersecurity are expected to fuel market
growth across the North American region. Europe is the second-largest
contributor to the global AI training dataset market. Strong interest in the
region by tech giants such as IBM and Google is driving AI adoption in the
market. Moreover, best-in-class expertise in the most evolved AI industries
such as manufacturing, automotive, IT, and insurance markets is benefitting the
market in the Europe region. The APAC region is expected to witness the highest
CAGR of 27.96% during the forecast period owing to constant growth in the
adoption of AI in the healthcare sector as well as supporting government
initiatives.
With the advancements in technology, several industries have noticed several stages of progress. These developments have also affected the adoption of AI training datasets. AI training datasets have developed and evolved considerably over the past decade to facilitate and enhance industrial processes at lower costs. The AI training dataset market is growing at a very fast pace, and is a very competitive market, hence prominent players are adopting different strategies such as the expansion of their services, partnerships, collaborations, new product launches, mergers and acquisition to increase their reach in the market. For instances:
In Feb-2021, Appen introduced new
off-the-shelf (OTS) datasets. These datasets are designed to acquire the
high-quality training data needed to accelerate machine learning (ML) and artificial
intelligence (AI) projects.
In Jun-2019, Lionbridge Technologies,
Inc. launched Lionbridge AI. This new launching extends the leadership position
in AI training data services of the company.
In Apr-2019, Appen completed the
acquisition of Figure Eight. This acquisition strengthens the position of Appen
and delivers increasing quality, volume, and speed requirements for training
data to support business innovations and efficiencies that use AI and ML.
In Sep-2018, Alegion introduced the next-generation training data platform for enterprise AI (Artificial Intelligence).
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Global AI Training Dataset
Market – by Type
·
Text
·
Image/Video
·
Audio
Global AI Training Dataset
Market – by Vertical
·
IT
·
Automotive
·
Government
·
Healthcare
·
BFSI
·
Others
Global AI Training Dataset
Market – by Geography
·
North America
o US
o Canada
o Mexico
·
Europe
o Germany
o France
o Italy
o UK
o Russia
o Spain
o Netherlands
o Rest
of Europe
·
Asia-Pacific (APAC)
o China
o India
o South
Korea
o Japan
o Australia
o Singapore
o Rest
of APAC
·
LAMEA
o Latin
America
o Middle
East
o Africa
Key Players
1. Alegion,
Inc.
2. Amazon
Web Services, Inc.
3. Appen
Limited
4. clickworker
GmbH
5. Cogito
Tech LLC
6. DefinedCrowd
Corporation
7. edgecase.ai
8. Google,
LLC (Kaggle Inc.)
9. iMerit
10. Kinetic
Vision, Inc. (Deep Vision Data)
11. Lionbridge
Technologies, Inc.
12. Microsoft
Corporation
13. Sama
Inc.
14. Scale
AI, Inc.
15. Superb
AI, Inc.
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WHAT’S IN THE REPORT?
·
Market Dynamics
·
Competitive Analysis
·
Market Future Trends and Market Viewpoint
·
Market Share and Analysis
·
Key Insights
·
Opportunities
Key Questions Answered
·
Which region provides more business
opportunities for the global AI training dataset market in the upcoming years?
·
Who is the leading overall AI training dataset
market, and what strategies have been adopted by them?
·
Which segment accounted for the largest AI
training dataset market share?
·
What are the upcoming trends in the global AI
training dataset market? What impact would these trends make in the coming
years for the AI training dataset market?
·
Which player offering the best product range for
the global AI training dataset market?
Key Benefits for Stakeholders
·
This study presents the analytical description
of the AI training dataset market analysis along with the current trends and
future estimations to describe coming up investment pockets
·
The complete AI training dataset market
opportunity is resolute by knowing profitable trends to gain a stronger
foothold
·
The report describes insights associated with
key drivers, restraints, opportunities, and trends of the global AI training
dataset market with thorough impact analysis
·
The global AI training dataset market is
quantitatively analyzed from 2017 to 2030 to focus on the monetary ability
·
PEST analysis defines the potency of the
consumers and suppliers in the global AI training dataset market
·
Porter’s five forces analysis examines the five
forces that make a competitive company while identifying its strength and
weakness. The analysis will also identify competition, new entrants in the
market, supplier power, buyer power, and threat of substitute products and
services in the global AI training dataset market
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