Global Data Labeling Software Market Growth (Status and Outlook) 2024-2030
The global Data Labeling Software market size is projected to grow from 50 million in 2023 to 160.3 million in 2030; it is expected to grow at a CAGR of 17.9% from 2024 to 2030.
Key Features
- Data labeling software provides a tool set for businesses to turn unlabeled data into labeled data and build corresponding artificial intelligence algorithms.
- The adoption of higher-speed and cloud-based data labeling software.
- The growth of multi-modal and multi-task data labeling software.
- The emergence of human-in-the-loop and active learning approaches.
- The integration of artificial intelligence ethics and privacy principles.
Segmentation by Type
- Cloud-Based
- On-Premises
Segmentation by Application
- Government
- Retail and eCommerce
- Healthcare and Life Sciences
- BFSI
- Transportation and Logistics
- Telecom and IT
- Manufacturing
- Others
Market by Region
- Americas
- APAC
- Europe
- Middle East & Africa
Company's Coverage
- AWS
- Figure Eight
- Hive
- Playment
- V7
- Clarifai
- CloudFactory
- Labelbox
- Alegion
- BasicAI
- Dataloop AI
- Datasaur
- DefinedCrowd
- Diffgram
- edgecase.ai
- Heartex
- LinkedAi
- Lionbridge
- Sixgill
- super.AI
- SuperAnnotate
- Deep Systems
- TaQadam
- TrainingData.io
Key Questions Addressed in this Report
Frequently Asked Questions
Data Labeling Software report offers great insights of the market and consumer data and their interpretation through various figures and graphs. Report has embedded global market and regional market deep analysis through various research methodologies. The report also offers great competitor analysis of the industries and highlights the key aspect of their business like success stories, market development and growth rate.
Data Labeling Software report is categorised based on following features:
- Global Market Players
- Geopolitical regions
- Consumer Insights
- Technological advancement
- Historic and Future Analysis of the Market
Data Labeling Software report is designed on the six basic aspects of analysing the market, which covers the SWOT and SWAR analysis like strength, weakness, opportunity, threat, aspirations and results. This methodology helps investors to reach on to the desired and correct decision to put their capital into the market.