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AI Training Data Market - Global Growth, Trends and Forecast (2022- 2027) By Types, By Application, By Regions and By Key Players: Amazon Web Services, Inc., Microsoft Corporation, Scale AI, Inc., Samasource

22 Mar, 2022 | 116 Pages
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Acknowledging the kind of traction gained by this market, recently published a study report by industry data analytics asserts the global AI Training Data Market is expected to grow from $1.5 billion in 2021, registering a phenomenal CAGR of 19.7% during the review period (2022 to 2027).



AI Training Data Market Overview



Artificial Intelligence (AI) is gaining important importance in various industrial applications such as manufacturing, IT, BFSI, retail and e-commerce, and healthcare. The rising demand for application-specific training data is also opening opportunities for new entrants. AI is becoming vital to big data as the technology allows the extraction of high-level and complex abstractions using a hierarchical learning process important to the need for mining and extracting meaningful patterns from voluminous data.



The growing need for enterprise internetworking among employees, partners, distributors, suppliers, and others in the business value chain has given way to the growing employment of the enterprise social software market products across desktops, laptops, and mobile personal devices. Though enterprises across the globe are looking forward to incubating Enterprise Social Software into their current work scenarios, ESS providers look forward to gaining a better competitive advantage in the emerging market by creating new technological features that facilitate the quicker adoption of these. AI Training data is essentially used to provide AI-based training and machine learning data to make essential decisions. For example, if a model for a self-driving car is built, the training dataset will include videos and images labeled to recognize street signs, car signals vs people. The rise in demand for artificial intelligence in various applications such as video, audio recognition pushes the market growth of AI training datasets.



Who are the Major Players in AI Training Data Market?



The AI Training Data Market is rising at a very fast pace and has seen the focus of many local and regional vendors offering precise application products for numerous end users. The three dependencies for the status of major companies in the market are company profile, profitable gross margin, the prices they charge. These are the main players in this market includes Google, LLC (Kaggle), Appen Limited, Cogito Tech LLC, Lionbridge Technologies, Inc., Amazon Web Services, Inc., Microsoft Corporation, Scale AI, Inc., Samasource Inc., Alegion, Deep Vision Data



Recent Developments



Google Cloud Introduce Vertex AI- At Google I/O today Google Cloud announced Vertex AI, a new managed machine learning platform that is meant to make it easier for developers to deploy and maintain their AI models. It’s a bit of an odd announcement at I/O, which tends to focus on mobile and web developers and doesn’t traditionally feature a lot of Google Cloud news, but the fact that Google decided to announce Vertex today goes to show how important it thinks this new service is for a wide range of developers.



Tesla to launch its in-house chip for the training of AI models in data centers- Tesla launch chip to train AI: Recently Tesla director Ganesh Venkataraman unveiled an innovation of Tesla’s and that innovation is a computer chip which is designed and built in the entire house, and the company is utilizing it for running their supercomputers which are known as Dojo.



What are the major Applications, Types, and Regions for AI Training Data Market?



AI Training Data Market is segmented based on the type, applications, companies, and regions.



By Type, it is segmented into




  • Cleaning Robot

  • Education, Companionship and Entertainment Robots

  • Business Service Robot



By Applications, it is segmented into




  • IT

  • Automotive

  • Government

  • Healthcare

  • BFSI

  • Retail & E-commerce

  • Others



AI Training Data Market Regional Analysis



Asia-Pacific is likely to witness a important growth, owing to emerging frugalities such as India, China, and South Korea. These nations are developing as industrial hubs, owing to which many industries in the region are adopting AI and automatic solutions to gain a modest edge and achieve extreme output, which fuels growth of the market.




  • North America


    • US

    • Canada



  • Europe

    • Germany

    • France

    • UK

    • Italy

    • Spain

    • Rest of Europe



  • Asia-Pacific

    • China

    • Japan

    • India

    • Australia

    • South Korea

    • Rest of Asia-Pacific



  • Rest of the World

    • Middle East & Africa

    • Latin America





The AI Training Data Market describes the factors driving the global growth opportunities in upcoming years and highlights market channels. In addition, the report analyzes market size and share, trends, by geographic region, end-use type, and segment. It focuses extensively on revealing a detailed regional analysis. The Global AI Training Data Market report also conducted a PESTEL analysis of the industry to study the main influencing factors and entry barriers of the industry.



What is our AI Training Data Market report scope?























































Report Attributes



Report Details



Forecast Period 2022 to 2028 CAGR



CAGR of 19.7% during the review period (2022 to 2027).



By Type




  • Cleaning Robot

  • Education, Companionship and Entertainment Robots

  • Business Service Robot



By Application



 




  • IT

  • Automotive

  • Government

  • Healthcare

  • BFSI

  • Retail & E-commerce

  • Others



By Companies



Accenture, Amdocs, Capgemini SE, CSG Systems International, Inc., Hewlett Packard Enterprise,



Regions Covered




  • North America

  • Europe

  • Asia-Pacific

  • Rest of the World



Countries Covered




  • US

  • Canada

  • Germany

  • France

  • UK

  • Italy

  • Spain

  • Rest of Europe

  • China

  • Japan

  • India

  • Australia

  • South Korea

  • Rest of Asia-Pacific

  • Middle East & Africa

  • Latin America



Base Year



2022



Historical Year



2017 to 2021



Forecast Year



2022 to 2027



Number of Pages



    116



Customization Available



Yes, the report can be customized as per your needs




 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



 



Key Takeaways from this AI Training Data Report




  • Evaluate AI Training Data market potential through analyzing growth rates (CAGR %), Volume (Units), and Value ($M) data given at country level - for product types, end use applications, and by different industry verticals.

  • Understand the different dynamics influencing the market - growth driving factors, specific challenges and hidden opportunities.

  • Get in-depth insights on your competitor's performance – revenue, shares, business strategies, financial benchmarking, product benchmarking, SWOT analysis, and more.

  • Analyze the sales and distribution channels across geographies to enhance top-line revenues.

  • Understand the demanding supply chain with a deep dive on the value augmentation at each, in order to optimize value and bring efficiencies in your processes.

  • Get a quick outlook on the AI Training Data market entropy - M&As, deals, partnerships, product launches of all key players for the past 4 years.

  • Evaluate the import-export statistics, supply-demand, and competitive landscape for more than the top 20 countries globally for the market.



All our reports are custom made to your company's needs to a certain extent, we do provide 5 free consulting hours along with the purchase of each report, and this will allow you to request any additional data to customize the report as your needs.



Frequently Asked Question -



How big is the AI training dataset market?



The global AI training dataset market size was estimated at USD 1,408.5 million in 2021 and is expected to reach USD 1,728.2 million in 2022.



What are the key driving factors and tasks in the AI training dataset market?



Several developments in the field of AI training dataset are driving the market in coming years, though, lack of skill have incomplete the growth of the market.



What are the key driving factors for the AI Training Dataset Market?



Artificial intelligence (AI) is gaining important prominence due to rising adoption across various data-driven requests, The amount of data made across various end-use governments has driven the acceptance of AI.



Who are the key players in the AI training dataset market?



Some key players working in the AI training dataset market include Google, LLC (Kaggle); Appen Partial; Cogito Tech LLC; Lionbridge Technologies, Inc.; Amazon Web Services, Inc.; and Microsoft Corporation.


  1. INTRODUCTION

    1. MARKET DEFINATION

    2. MARKET DYNAMICS

    3. MARKET SEGMENTATION

    4. REPORT TIMLINES

    5. KEY STAKEHOLDERS



  2. RESEARCH METHODOLOGY

    1. DATA MINING

      1. SECONDARY RESEARCH

      2. PRIMARY RESEARCH

      3. SUBJECT MATTER EXPERT ADVICE



    2. QUALITY CHECK

    3. FINAL REVIEW

      1. DATA TRIANGULATION

      2. BOTTOM-UP APPROACH

      3. TOP-DOWN APPROACH



    4. RESEARCH FLOW



  3. EXECUTIVE SUMMARY

    1. INTRODUCTION

    2. GLOBAL AI TRAINING DATA MARKET BY APPLICATIONS

    3. GLOBAL AI TRAINING DATA MARKET BY TYPES



  4. MARKET DYNAMICS

    1. DRIVERS

      1. INCREASING DEMAND FOR AI TRAINING DATA



    2. RESTRAINTS

      1. STRINGENT ENVIRONMENTAL REGULATIONS

      2. HIGH COST ON MATERIALS



    3. OPPORTUNITIES

      1. AI TRAINING DATA GROWTH

      2. APPLICATION OF AI TRAINING DATA



    4. IMPACT OF COVID 19



  5. GLOBAL AI TRAINING DATA MARKET, BY TYPES

    1. Cleaning Robot

    2. Education, Companionship and Entertainment Robots

    3. Business Service Robot



  6. GLOBAL AI TRAINING DATA MARKET, BY APPLICATION

    1. IT

    2. Automotive

    3. Government

    4. Healthcare

    5. BFSI

    6. Retail & E-commerce

    7. Others



  7. GLOBAL AI TRAINING DATA MARKET, BY REGION

    1. NORTH AMERICA

      1. US

      2. CANADA

      3. MEXICO



    2. EUROPE

      1. GERMANY

      2. FRANCE

      3. UK

      4. ITALY

      5. RUSSIA

      6. REST OF EUROPE



    3. APAC

      1. CHINA

      2. SOUTH KOREA

      3. JAPAN

      4. INDIA

      5. AUSTRALIA

      6. ASEAN

      7. REST OF APAC



    4. MIDDLE EAST & AFRICA

      1. SAUDI ARABIA

      2. UAE

      3. SOUTH AFRICA

      4. TURKEY

      5. REST OF MEA



    5. SOUTH AMERICA

      1. BRAZIL

      2. REST OF MEA

      3. ARGENTINA

      4. REST OF SOUTH AMERICA





  8. COMPETITIVE LANDSCAPE

    1. MERGERS, ACQUISITIONS, JOINT VENTURES, COLLABORATIONS,

    2. AND AGREEMENTS

      1. KEY DEVELOPMENT



    3. MARKET SHARE (%) **/RANKING ANALYSIS

    4. STRATEGIES ADOPTED BY LEADING PLAYERS



  9. COMPANY PROFILES

    1. BUSINESS OVERVIEW

    2. COMPANY SNAPSHOT

    3. PRODUCT BENCHMARKING

    4. STRATEGIC INITIATIVES

      1. GOOGLE

      2.  LLC (KAGGLE)

      3.  APPEN LIMITED

      4.  COGITO TECH LLC

      5.  LIONBRIDGE TECHNOLOGIES INC.

      6.  AMAZON WEB SERVICES INC.

      7.  MICROSOFT CORPORATION

      8.  SCALE AI

      9.  INC.

      10.  SAMASOURCE INC.

      11.  ALEGION

      12.  DEEP VISION DATA





SECONDARY RESEARCH
Secondary Research Information is collected from a number of publicly available as well as paid databases. Public sources involve publications by different associations and governments, annual reports and statements of companies, white papers and research publications by recognized industry experts and renowned academia etc. Paid data sources include third party authentic industry databases.

PRIMARY RESEARCH
Once data collection is done through secondary research, primary interviews are conducted with different stakeholders across the value chain like manufacturers, distributors, ingredient/input suppliers, end customers and other key opinion leaders of the industry. Primary research is used both to validate the data points obtained from secondary research and to fill in the data gaps after secondary research.

MARKET ENGINEERING
The market engineering phase involves analyzing the data collected, market breakdown and forecasting. Macroeconomic indicators and bottom-up and top-down approaches are used to arrive at a complete set of data points that give way to valuable qualitative and quantitative insights. Each data point is verified by the process of data triangulation to validate the numbers and arrive at close estimates.

EXPERT VALIDATION
The market engineered data is verified and validated by a number of experts, both in-house and external.

REPORT WRITING/ PRESENTATION
After the data is curated by the mentioned highly sophisticated process, the analysts begin to write the report. Garnering insights from data and forecasts, insights are drawn to visualize the entire ecosystem in a single report.

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