Global Data Annotation and Labeling Market Growth (Status and Outlook) 2023-2029
The global Data Annotation and Labeling market size is projected to grow from US$ 763 million in 2022 to US$ 5141.1 million in 2029; it is expected to grow at a CAGR of 31.3% from 2023 to 2029.
United States market for Data Annotation and Labeling 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 Data Annotation and Labeling 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 Data Annotation and Labeling is estimated to increase from US$ million in 2022 to US$ million by 2029, at a CAGR of % from 2023 through 2029.
Global key Data Annotation and Labeling players cover Google (US), Appen (Australia), IBM (US), Oracle (US), TELUS International (Canada), Adobe (US), AWS (US), Alegion IUS) and Cogito Tech (US), etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2022.
Data annotation and labeling (Data Annotation and Labeling) refers to the labeling and annotation of raw data so that machine learning algorithms and artificial intelligence models can better understand and process these data. In the process of data annotation and labeling, people will label each sample in the data set, including labeling various data types such as images, videos, texts, and voices, as well as entities, attributes, relationships, emotions, etc. in the data. Make a note.
LPI (LP Information)' newest research report, the “Data Annotation and Labeling Industry Forecast” looks at past sales and reviews total world Data Annotation and Labeling sales in 2022, providing a comprehensive analysis by region and market sector of projected Data Annotation and Labeling sales for 2023 through 2029. With Data Annotation and Labeling sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Data Annotation and Labeling industry.
This Insight Report provides a comprehensive analysis of the global Data Annotation and Labeling 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 Data Annotation and Labeling portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Data Annotation and Labeling market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Data Annotation and Labeling 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 Data Annotation and Labeling.
This report presents a comprehensive overview, market shares, and growth opportunities of Data Annotation and Labeling market by product type, application, key players and key regions and countries.
Market Segmentation:
Segmentation by type
Cloud
On-premises
Segmentation by application
SMEs
Large Enterprises
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.
Google (US)
Appen (Australia)
IBM (US)
Oracle (US)
TELUS International (Canada)
Adobe (US)
AWS (US)
Alegion IUS)
Cogito Tech (US)
Anolytics (US)
AI Data Innovation (US)
Cickwoker (Gemany)
CloudFactory (UK)
CapeStart (US)
DataPure (US)
LXT (Canada)
Precise BPO Soution (India)
Sigma (US)
Segment ai (US)
Defined.ai (US)
Dataloop (IsraeI), Labelbox (US)
V7 (UK)
Please note: The report will take approximately 2 business days to prepare and deliver.
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