Data Labeling Software Market Research Report - Segmented By Method (Crowdsourcing, Internal Labeling, Outsourcing, Synthetic Labeling, Programmatic Labeling); Application (Computer Vision, Natural Language Processing (NLP); Image and Speech Recognition, Others); Deployment Mode (Cloud-Based, On-Premises); Organization Size (Small and Medium-sized Enterprises (SMEs), Large Enterprises); Industry Vertical (Banking, Financial Services, and Insurance (BFSI), IT and Telecommunications, Retail and Digital Services, Automotive, Education, Healthcare, Others); and Region - Size, Share, Growth Analysis | Forecast (2024 – 2030)
Published: 2024 - January
Report Code: IM-15319
Format:
Region: Global
Chapter 1. Data Labeling Software Market - Scope & Methodology
1.1 Market Segmentation
1.2 Assumptions
1.3 Research Methodology
1.4 Primary Sources
1.5 Secondary Sources
Chapter 2. Data Labeling Software Market - Executive Summary
2.1 Market Size & Forecast – (2023 – 2030) ($M/$Bn)
2.2 Key Trends & Insights
2.3 COVID-19 Impact Analysis
2.3.1 Impact during 2023 – 2030
2.3.2 Impact on Supply – Demand
Chapter 3. Data Labeling Software Market - Competition Scenario
3.1 Market Share Analysis
3.2 Product Benchmarking
3.3 Competitive Strategy & Development Scenario
3.4 Competitive Pricing Analysis
3.5 Supplier - Distributor Analysis
Chapter 4. Data Labeling Software Market - Entry Scenario
4.1 Case Studies – Start-up/Thriving Companies
4.2 Regulatory Scenario - By Region
4.3 Customer Analysis
4.4 Porter's Five Force Model
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Powers of Customers
4.4.3 Threat of New Entrants
4.4.4 .Rivalry among Existing Players
4.4.5 Threat of Substitutes
Chapter 5. Data Labeling Software Market - Landscape
5.1 Value Chain Analysis – Key Stakeholders Impact Analysis
5.2 Market Drivers
5.3 Market Restraints/Challenges
5.4 Market Opportunities
Chapter 6. Data Labeling Software Market - By Method
6.1 Crowdsourcing
6.2 Internal Labeling
6.3 Outsourcing
6.4 Synthetic Labeling
6.5 Programmatic Labeling
Chapter 7. Data Labeling Software Market - By Application
7.1 Computer Vision
7.2 Natural Language Processing (NLP)
7.3 Image and Speech Recognition
7.4 Others
Chapter 8. Data Labeling Software Market - By Deployment Mode
8.1 Cloud-Based
8.2 On-Premises
Chapter 9. Data Labeling Software Market - By Organization Size
9.1 Small and Medium-sized Enterprises (SMEs)
9.2 Large Enterprises
Chapter 10. Data Labeling Software Market - By Industry Vertical
10.1 Banking, Financial Services, and Insurance (BFSI)
10.2 IT and Telecommunications
10.3 Retail and Digital Services
10.4 Automotive
10.5 Education
10.6 Healthcare
10.7 Others
Chapter 11. Data Labeling Software Market - By Region
11.1 North America
11.2 Europe
11.3 Asia-Pacific
11.4 Latin America
11.5 The Middle East
11.6 Africa
Chapter 12. Data Labeling Software Market – key players
12.1 Kili Technology (France)
12.2 SuperAnnotate AI, Inc. (Armenia)
12.3 Cord Technologies Limited (United Kingdom)
12.4 V7 Ltd. (United Kingdom)
12.5 Appen Limited (Australia)
12.6 Dataloop Ltd. (Israel)
12.7 Labelbox, Inc. (United States)
12.8 Scale AI, Inc. (United States)
12.9 Keymakr Inc. (United States)
12.10 Datasaur, Inc. (United States)
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Frequently Asked Questions
Global Data Labeling Software Market is estimated to be worth USD 2.07 Billion in 2022 and is projected to reach a value of USD 11.72 Billion by 2030, growing at a CAGR of 24.2% during the forecast period 2023-2030.
The Global Data Labeling Software Market Drivers are the Rising Demand for Data Labeling in Business Process Automation and the Increasing Demand for Versatile Data Labeling Tools for Diverse Data Types and Annotation Needs.
Based on the Application, the Global Data Labeling Software Market is segmented into Computer Vision, Natural Language Processing (NLP), and Image and Speech Recognition.
The United States is the most dominating country in the region of North America for the Global Data Labeling Software Market.
Kili Technology, SuperAnnotate AI, Inc., and Cord Technologies Limited are the leading players in the Global Data Labeling Software Market.
