Global Ai-assisted Annotation Tools Market Growth (Status and Outlook) 2023-2029

Global Ai-assisted Annotation Tools Market Growth (Status and Outlook) 2023-2029

The global Ai-assisted Annotation Tools market size is projected to grow from US$ 518.5 million in 2022 to US$ 984 million in 2029; it is expected to grow at a CAGR of 9.6% from 2023 to 2029.

United States market for Ai-assisted Annotation Tools is estimated to increase from US$ million in 2022 to US$ million by 2029, at a CAGR of % from 2023 through 2029.

China market for Ai-assisted Annotation Tools is estimated to increase from US$ million in 2022 to US$ million by 2029, at a CAGR of % from 2023 through 2029.

Europe market for Ai-assisted Annotation Tools is estimated to increase from US$ million in 2022 to US$ million by 2029, at a CAGR of % from 2023 through 2029.

Global key Ai-assisted Annotation Tools players cover NVIDIA, DataGym, Dataloop, Encord, Hive Data, IBM Watson Studio, Innodata, LabelMe and Scale AI, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2022.

LPI (LP Information)' newest research report, the “Ai-assisted Annotation Tools Industry Forecast” looks at past sales and reviews total world Ai-assisted Annotation Tools sales in 2022, providing a comprehensive analysis by region and market sector of projected Ai-assisted Annotation Tools sales for 2023 through 2029. With Ai-assisted Annotation Tools sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Ai-assisted Annotation Tools industry.

This Insight Report provides a comprehensive analysis of the global Ai-assisted Annotation Tools landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on Ai-assisted Annotation Tools portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Ai-assisted Annotation Tools market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Ai-assisted Annotation Tools and breaks down the forecast by type, by application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Ai-assisted Annotation Tools.

This report presents a comprehensive overview, market shares, and growth opportunities of Ai-assisted Annotation Tools market by product type, application, key players and key regions and countries.

Market Segmentation:

Segmentation by type
Image Ai-assisted Annotation Tools
Text Ai-assisted Annotation Tools
Video Ai-assisted Annotation Tools

Segmentation by application
Machine Learning
Computer Vision
Artificial Intelligence
Others

This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
NVIDIA
DataGym
Dataloop
Encord
Hive Data
IBM Watson Studio
Innodata
LabelMe
Scale AI
SuperAnnotate
Supervisely
V7
VoTT

Please note: the online download version of this report is for a global site license.


*This is a tentative TOC and the final deliverable is subject to change.*
1 Scope of the Report
2 Executive Summary
3 Ai-assisted Annotation Tools Market Size by Player
4 Ai-assisted Annotation Tools by Regions
5 Americas
6 APAC
7 Europe
8 Middle East & Africa
9 Market Drivers, Challenges and Trends
10 Global Ai-assisted Annotation Tools Market Forecast
11 Key Players Analysis
12 Research Findings and Conclusion

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