North America Data Labeling Solution And Services Market Size, Share & Industry Trends Analysis Report By Type, By Labeling Type (Manual, Semi-Supervised, and Automatic), By Sourcing Type, By Vertical, By Country and Growth Forecast, 2023 - 2030
The North America Data Labeling Solution and Services Market would witness market growth of 18.0% CAGR during the forecast period (2023-2030).
As technology may help automate and speed up the labeling process, generative AI can be useful for data labeling. Numerous businesses are attempting to automate the data labeling process using generative AI, and they have developed cutting-edge platforms such as GPT (Generative Pre-Trained Transformer), ChatGPT, InstructGPT, and others. These platforms utilize neural network designs widely utilized in natural language processing (NLP) activities like text generation, translation, and sentiment analysis. Market players are introducing new offerings to meet the growing need for data labeling solutions and services.
For instance, OpenAI released the Generative Pre-trained Transformer 3 (GPT-3) in June 2020. The GPT3 model has inspired the community of researchers studying natural language processors to investigate GPT3 as a useful tool for data annotation. Compared to human labeling, GPT3 data annotation is substantially less expensive. Medical imaging annotations are labour-intensive and expensive tasks carried out by clinical professionals in the healthcare industry. However, the capacity of GPT3 can be used to save time & money by identifying patterns in unstructured clinical data and extracting crucial information from fragmented data in electronic health records.
Organizations in North America are investing in infrastructure and technology to collect, store, and analyze enormous volumes of data produced by linked systems and devices. These insights foster innovative thinking, process improvement, and well-informed decision-making, enhancing corporate results. North America has been in the forefront of implementing cutting-edge technology, making it a center for digital transformation. The area has seen a stronger acceptance of digital transformation due to the pressing necessity for businesses operating there to convert their traditional business methods to digital and the quick uptake of mobile devices, cloud computing, and IoT technologies. As a result, these approaches motivate businesses to embrace digital platforms. This wide adoption of digital platforms would further contribute to market’s growth in the region.
The US market dominated the North America Data Labeling Solution and Services Market by Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $10.9 billion by 2030. The Canada market is poised to grow at a CAGR of 20.6% during (2023 - 2030). Additionally, The Mexico market would showcase a CAGR of 19.6% during (2023 - 2030).
Based on Type, the market is segmented into Image/Video, Text, and Audio. Based on Labeling Type, the market is segmented into Manual, Semi-Supervised, and Automatic. Based on Sourcing Type, the market is segmented into Outsourced, and In-House. Based on Vertical, the market is segmented into IT, Automotive, Financial Services, Government, Healthcare, Retail, and Others. Based on countries, the market is segmented into U.S., Mexico, Canada, and Rest of North America.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Google LLC (Alphabet Inc.), Appen Limited, TELUS International (Playment, Inc.), Yandex N.V., Uber Technologies, Inc. (Mighty AI, Inc.), Zight, Alegion, Inc., Scale AI, Inc., Labelbox, Inc., Cogito Tech LLC
Scope of the Study
Market Segments covered in the Report:
By Type
- Image/Video
- Text
- Audio
- Manual
- Semi-Supervised
- Automatic
- Outsourced
- In-House
- IT
- Automotive
- Financial Services
- Government
- Healthcare
- Retail
- Others
- US
- Canada
- Mexico
- Rest of North America
- Google LLC (Alphabet Inc.)
- Appen Limited
- TELUS International (Playment, Inc.)
- Yandex N.V.
- Uber Technologies, Inc. (Mighty AI, Inc.)
- Zight
- Alegion, Inc.
- Scale AI, Inc.
- Labelbox, Inc.
- Cogito Tech LLC
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- Chapter 1. Market Scope & Methodology
- 1.1 Market Definition
- 1.2 Objectives
- 1.3 Market Scope
- 1.4 Segmentation
- 1.4.1 North America Data Labeling Solution and Services Market, by Type
- 1.4.2 North America Data Labeling Solution and Services Market, by Labeling Type
- 1.4.3 North America Data Labeling Solution and Services Market, by Sourcing Type
- 1.4.4 North America Data Labeling Solution and Services Market, by Vertical
- 1.4.5 North America Data Labeling Solution and Services Market, by Country
- 1.5 Methodology for the research
- Chapter 2. Market At a Glance
- 2.1 Key Highlight
- Chapter 3. Market Overview
- 3.1 Introduction
- 3.1.1 Overview
- 3.1.1.1 Market Composition and Scenario
- 3.2 Key Factors Impacting the Market
- 3.2.1 Market Drivers
- 3.2.2 Market Restraints
- Chapter 4. Competition Analysis - Global
- 4.1 KBV Cardinal Matrix
- 4.2 Recent Industry Wide Strategic Developments
- 4.2.1 Partnerships, Collaborations and Agreements
- 4.2.2 Product Launches and Product Expansions
- 4.2.3 Acquisition and Mergers
- 4.3 Market Share Analysis, 2022
- 4.4 Top Winning Strategies
- 4.4.1 Key Leading Strategies: Percentage Distribution (2019-2023)
- 4.4.2 Key Strategic Move: (Product Launches and Product Expansions: 2019, Oct – 2023, Feb) Leading Players
- 4.5 Porter’s Five Force Analysis
- Chapter 5. North America Data Labeling Solution and Services Market by Type
- 5.1 North America Image/Video Market by Country
- 5.2 North America Text Market by Country
- 5.3 North America Audio Market by Country
- Chapter 6. North America Data Labeling Solution and Services Market by Labeling Type
- 6.1 North America Manual Market by Country
- 6.2 North America Semi-Supervised Market by Country
- 6.3 North America Automatic Market by Country
- Chapter 7. North America Data Labeling Solution and Services Market by Sourcing Type
- 7.1 North America Outsourced Market by Country
- 7.2 North America In-House Market by Country
- Chapter 8. North America Data Labeling Solution and Services Market by Vertical
- 8.1 North America IT Market by Country
- 8.2 North America Automotive Market by Country
- 8.3 North America Financial Services Market by Country
- 8.4 North America Government Market by Country
- 8.5 North America Healthcare Market by Country
- 8.6 North America Retail Market by Country
- 8.7 North America Others Market by Country
- Chapter 9. North America Data Labeling Solution and Services Market by Country
- 9.1 US Data Labeling Solution and Services Market
- 9.1.1 US Data Labeling Solution and Services Market by Type
- 9.1.2 US Data Labeling Solution and Services Market by Labeling Type
- 9.1.3 US Data Labeling Solution and Services Market by Sourcing Type
- 9.1.4 US Data Labeling Solution and Services Market by Vertical
- 9.2 Canada Data Labeling Solution and Services Market
- 9.2.1 Canada Data Labeling Solution and Services Market by Type
- 9.2.2 Canada Data Labeling Solution and Services Market by Labeling Type
- 9.2.3 Canada Data Labeling Solution and Services Market by Sourcing Type
- 9.2.4 Canada Data Labeling Solution and Services Market by Vertical
- 9.3 Mexico Data Labeling Solution and Services Market
- 9.3.1 Mexico Data Labeling Solution and Services Market by Type
- 9.3.2 Mexico Data Labeling Solution and Services Market by Labeling Type
- 9.3.3 Mexico Data Labeling Solution and Services Market by Sourcing Type
- 9.3.4 Mexico Data Labeling Solution and Services Market by Vertical
- 9.4 Rest of North America Data Labeling Solution and Services Market
- 9.4.1 Rest of North America Data Labeling Solution and Services Market by Type
- 9.4.2 Rest of North America Data Labeling Solution and Services Market by Labeling Type
- 9.4.3 Rest of North America Data Labeling Solution and Services Market by Sourcing Type
- 9.4.4 Rest of North America Data Labeling Solution and Services Market by Vertical
- Chapter 10. Company Profiles
- 10.1 Google LLC (Alphabet Inc.)
- 10.1.1 Company Overview
- 10.1.2 Financial Analysis
- 10.1.3 Segmental and Regional Analysis
- 10.1.4 Research & Development Expense
- 10.1.5 Recent strategies and developments:
- 10.1.5.1 Partnerships, Collaborations, and Agreements:
- 10.1.5.2 Product Launches and Product Expansions:
- 10.1.6 SWOT Analysis
- 10.2 Appen Limited
- 10.2.1 Company Overview
- 10.2.2 Financial Analysis
- 10.2.3 Segmental and Regional Analysis
- 10.2.4 Recent strategies and developments:
- 10.2.4.1 Partnerships, Collaborations, and Agreements:
- 10.2.4.2 Product Launches and Product Expansions:
- 10.2.4.3 Acquisition and Mergers:
- 10.2.5 SWOT Analysis
- 10.3 TELUS International (Playment, Inc.)
- 10.3.1 Company Overview
- 10.3.2 Financial Analysis
- 10.3.3 Recent strategies and developments:
- 10.3.3.1 Acquisition and Mergers:
- 10.3.4 SWOT Analysis
- 10.4 Yandex N.V.
- 10.4.1 Company Overview
- 10.4.2 Financial Analysis
- 10.4.3 Segmental and Regional Analysis
- 10.4.4 SWOT Analysis
- 10.5 Uber Technologies, Inc. (Mighty AI, Inc.)
- 10.5.1 Company Overview
- 10.5.2 Financial Analysis
- 10.5.3 Segmental and Regional Analysis
- 10.5.4 Research & Development Expense
- 10.5.5 SWOT Analysis
- 10.6 Zight
- 10.6.1 Company Overview
- 10.7 Alegion, Inc.
- 10.7.1 Company Overview
- 10.7.2 Recent strategies and developments:
- 10.7.2.1 Partnerships, Collaborations, and Agreements:
- 10.7.2.2 Product Launches and Product Expansions:
- 10.7.3 SWOT Analysis
- 10.8 Scale AI, Inc.
- 10.8.1 Company Overview
- 10.8.2 Recent strategies and developments:
- 10.8.2.1 Product Launches and Product Expansions:
- 10.8.3 SWOT Analysis
- 10.9 Labelbox, Inc.
- 10.9.1 Company overview
- 10.9.2 Recent strategies and developments:
- 10.9.2.1 Partnerships, Collaborations, and Agreements:
- 10.9.3 SWOT Analysis
- 10.10. Cogito Tech LLC
- 10.10.1 Company Overview
- 10.10.2 Recent Strategies and Developments:
- 10.10.2.1 Product Launch and Product expansions
- 10.10.3 SWOT Analysis
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