Global Ai-assisted Annotation Tools Market Research Report 2024

Publication ID:

PB508245737

Publication Date:

August 12, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

The global Ai-assisted Annotation Tools market was valued at US$ 530 million in 2023 and is anticipated to reach US$ 1048.5 million by 2030, witnessing a CAGR of 9.2% during the forecast period 2024-2030.
China and the United States are two leaders in AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both holds 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China's core artificial intelligence industry reached 楼508 billion in 2022, a year-on-year increase of 18%. From 2013 to November 2022, the cumulative number of patent applications for artificial intelligence inventions in the world reached 729,000, and the cumulative number of applications in China reached 389,000, accounting for 53.4%. However, the Global Artificial Intelligence Innovation Index Report 2021 released by the China Institute of Scientific and Technological Information shows that the overall strength of the United States is still far ahead. The number of artificial intelligence companies in the United States is about 4,670, while China has only 880. China's data center is less than 1/163 of that of the United States.
This report aims to provide a comprehensive presentation of the global market for Ai-assisted Annotation Tools, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Ai-assisted Annotation Tools.
Report Scope
The Ai-assisted Annotation Tools market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Ai-assisted Annotation Tools market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Ai-assisted Annotation Tools companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
NVIDIA
DataGym
Dataloop
Encord
Hive Data
IBM Watson Studio
Innodata
LabelMe
Scale AI
SuperAnnotate
Supervisely
V7
VoTT
Segment by Type
Image Ai-assisted Annotation Tools
Text Ai-assisted Annotation Tools
Video Ai-assisted Annotation Tools
Segment by Application
Machine Learning
Computer Vision
Artificial Intelligence
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Ai-assisted Annotation Tools companies鈥� competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Ai-assisted Annotation Tools Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Image Ai-assisted Annotation Tools
1.2.3 Text Ai-assisted Annotation Tools
1.2.4 Video Ai-assisted Annotation Tools
1.3 Market by Application
1.3.1 Global Ai-assisted Annotation Tools Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Machine Learning
1.3.3 Computer Vision
1.3.4 Artificial Intelligence
1.3.5 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Ai-assisted Annotation Tools Market Perspective (2019-2030)
2.2 Ai-assisted Annotation Tools Growth Trends by Region
2.2.1 Global Ai-assisted Annotation Tools Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Ai-assisted Annotation Tools Historic Market Size by Region (2019-2024)
2.2.3 Ai-assisted Annotation Tools Forecasted Market Size by Region (2025-2030)
2.3 Ai-assisted Annotation Tools Market Dynamics
2.3.1 Ai-assisted Annotation Tools Industry Trends
2.3.2 Ai-assisted Annotation Tools Market Drivers
2.3.3 Ai-assisted Annotation Tools Market Challenges
2.3.4 Ai-assisted Annotation Tools Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Ai-assisted Annotation Tools Players by Revenue
3.1.1 Global Top Ai-assisted Annotation Tools Players by Revenue (2019-2024)
3.1.2 Global Ai-assisted Annotation Tools Revenue Market Share by Players (2019-2024)
3.2 Global Ai-assisted Annotation Tools Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Ai-assisted Annotation Tools Revenue
3.4 Global Ai-assisted Annotation Tools Market Concentration Ratio
3.4.1 Global Ai-assisted Annotation Tools Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Ai-assisted Annotation Tools Revenue in 2023
3.5 Ai-assisted Annotation Tools Key Players Head office and Area Served
3.6 Key Players Ai-assisted Annotation Tools Product Solution and Service
3.7 Date of Enter into Ai-assisted Annotation Tools Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Ai-assisted Annotation Tools Breakdown Data by Type
4.1 Global Ai-assisted Annotation Tools Historic Market Size by Type (2019-2024)
4.2 Global Ai-assisted Annotation Tools Forecasted Market Size by Type (2025-2030)
5 Ai-assisted Annotation Tools Breakdown Data by Application
5.1 Global Ai-assisted Annotation Tools Historic Market Size by Application (2019-2024)
5.2 Global Ai-assisted Annotation Tools Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Ai-assisted Annotation Tools Market Size (2019-2030)
6.2 North America Ai-assisted Annotation Tools Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Ai-assisted Annotation Tools Market Size by Country (2019-2024)
6.4 North America Ai-assisted Annotation Tools Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Ai-assisted Annotation Tools Market Size (2019-2030)
7.2 Europe Ai-assisted Annotation Tools Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Ai-assisted Annotation Tools Market Size by Country (2019-2024)
7.4 Europe Ai-assisted Annotation Tools Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Ai-assisted Annotation Tools Market Size (2019-2030)
8.2 Asia-Pacific Ai-assisted Annotation Tools Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Ai-assisted Annotation Tools Market Size by Region (2019-2024)
8.4 Asia-Pacific Ai-assisted Annotation Tools Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Ai-assisted Annotation Tools Market Size (2019-2030)
9.2 Latin America Ai-assisted Annotation Tools Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Ai-assisted Annotation Tools Market Size by Country (2019-2024)
9.4 Latin America Ai-assisted Annotation Tools Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Ai-assisted Annotation Tools Market Size (2019-2030)
10.2 Middle East & Africa Ai-assisted Annotation Tools Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Ai-assisted Annotation Tools Market Size by Country (2019-2024)
10.4 Middle East & Africa Ai-assisted Annotation Tools Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 NVIDIA
11.1.1 NVIDIA Company Detail
11.1.2 NVIDIA Business Overview
11.1.3 NVIDIA Ai-assisted Annotation Tools Introduction
11.1.4 NVIDIA Revenue in Ai-assisted Annotation Tools Business (2019-2024)
11.1.5 NVIDIA Recent Development
11.2 DataGym
11.2.1 DataGym Company Detail
11.2.2 DataGym Business Overview
11.2.3 DataGym Ai-assisted Annotation Tools Introduction
11.2.4 DataGym Revenue in Ai-assisted Annotation Tools Business (2019-2024)
11.2.5 DataGym Recent Development
11.3 Dataloop
11.3.1 Dataloop Company Detail
11.3.2 Dataloop Business Overview
11.3.3 Dataloop Ai-assisted Annotation Tools Introduction
11.3.4 Dataloop Revenue in Ai-assisted Annotation Tools Business (2019-2024)
11.3.5 Dataloop Recent Development
11.4 Encord
11.4.1 Encord Company Detail
11.4.2 Encord Business Overview
11.4.3 Encord Ai-assisted Annotation Tools Introduction
11.4.4 Encord Revenue in Ai-assisted Annotation Tools Business (2019-2024)
11.4.5 Encord Recent Development
11.5 Hive Data
11.5.1 Hive Data Company Detail
11.5.2 Hive Data Business Overview
11.5.3 Hive Data Ai-assisted Annotation Tools Introduction
11.5.4 Hive Data Revenue in Ai-assisted Annotation Tools Business (2019-2024)
11.5.5 Hive Data Recent Development
11.6 IBM Watson Studio
11.6.1 IBM Watson Studio Company Detail
11.6.2 IBM Watson Studio Business Overview
11.6.3 IBM Watson Studio Ai-assisted Annotation Tools Introduction
11.6.4 IBM Watson Studio Revenue in Ai-assisted Annotation Tools Business (2019-2024)
11.6.5 IBM Watson Studio Recent Development
11.7 Innodata
11.7.1 Innodata Company Detail
11.7.2 Innodata Business Overview
11.7.3 Innodata Ai-assisted Annotation Tools Introduction
11.7.4 Innodata Revenue in Ai-assisted Annotation Tools Business (2019-2024)
11.7.5 Innodata Recent Development
11.8 LabelMe
11.8.1 LabelMe Company Detail
11.8.2 LabelMe Business Overview
11.8.3 LabelMe Ai-assisted Annotation Tools Introduction
11.8.4 LabelMe Revenue in Ai-assisted Annotation Tools Business (2019-2024)
11.8.5 LabelMe Recent Development
11.9 Scale AI
11.9.1 Scale AI Company Detail
11.9.2 Scale AI Business Overview
11.9.3 Scale AI Ai-assisted Annotation Tools Introduction
11.9.4 Scale AI Revenue in Ai-assisted Annotation Tools Business (2019-2024)
11.9.5 Scale AI Recent Development
11.10 SuperAnnotate
11.10.1 SuperAnnotate Company Detail
11.10.2 SuperAnnotate Business Overview
11.10.3 SuperAnnotate Ai-assisted Annotation Tools Introduction
11.10.4 SuperAnnotate Revenue in Ai-assisted Annotation Tools Business (2019-2024)
11.10.5 SuperAnnotate Recent Development
11.11 Supervisely
11.11.1 Supervisely Company Detail
11.11.2 Supervisely Business Overview
11.11.3 Supervisely Ai-assisted Annotation Tools Introduction
11.11.4 Supervisely Revenue in Ai-assisted Annotation Tools Business (2019-2024)
11.11.5 Supervisely Recent Development
11.12 V7
11.12.1 V7 Company Detail
11.12.2 V7 Business Overview
11.12.3 V7 Ai-assisted Annotation Tools Introduction
11.12.4 V7 Revenue in Ai-assisted Annotation Tools Business (2019-2024)
11.12.5 V7 Recent Development
11.13 VoTT
11.13.1 VoTT Company Detail
11.13.2 VoTT Business Overview
11.13.3 VoTT Ai-assisted Annotation Tools Introduction
11.13.4 VoTT Revenue in Ai-assisted Annotation Tools Business (2019-2024)
11.13.5 VoTT Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details

Companies Mentioned:

NVIDIA
DataGym
Dataloop
Encord
Hive Data
IBM Watson Studio
Innodata
LabelMe
Scale AI
SuperAnnotate
Supervisely
V7
VoTT

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