封面
市场调查报告书
商品编码
1603248

全球资料註释工具市场规模、份额、成长分析、按註释类型、按部署模型、按行业、按应用程式、按最终用户、按地区 - 行业预测,2024-2031 年

Global Data Annotation Tools Market Size, Share, Growth Analysis, By Annotation Type, By Deployment Model, By Industry Vertical, By Application, By End User, By Region - Industry Forecast 2024-2031.

出版日期: | 出版商: SkyQuest | 英文 157 Pages | 商品交期: 3-5个工作天内

价格
简介目录

到2022年,全球资料註释工具市场规模将达到8.1亿美元,从2023年的10.2亿美元成长到2031年的66亿美元,预计在预测期内(2024-2031年)将以复合年增长率增长。

由于各行业对人工智慧(AI)和机器学习(ML)应用的需求不断增长,全球资料註释工具市场正在显着成长。从自动驾驶汽车到医疗保健,从自然语言处理到脸部辨识,人工智慧技术的整合非常广泛。为了有效地训练这些人工智慧模型,大量精确註释的资料是必不可少的,这增加了世界对先进资料註释工具的需求。随着企业越来越多地采用人工智慧和机器学习来获取洞察、自动化工作流程并增强决策流程,对高品质标记资料的需求变得显而易见,这进一步推动了市场扩张。企业正在认识到优化资料在改善业务和为客户提供客製化体验方面发挥的关键作用。此外,随着人工智慧主导的解决方案改变医学研究、诊断和治疗方法,医疗保健和生命科学产业也为市场扩张做出了贡献。这种演变伴随着对用于训练和检验目的的大量註释的医疗资料的需求的增加。总而言之,这些因素揭示了资料註释工具日益增长的重要性和多功能性,使它们成为人工智慧技术在各个领域成功实施的关键组成部分。

目录

介绍

  • 研究目的
  • 调查范围
  • 定义

调查方法

  • 资讯采购
  • 二手资料和主要资料方法
  • 市场规模预测
  • 市场假设与限制

执行摘要

  • 全球市场展望
  • 供需趋势分析
  • 按细分市场的机会分析

市场动态及展望

  • 市场概况
  • 市场规模
  • 市场动态
    • 驱动因素和机会
    • 抑制因素和挑战
  • 波特分析与影响
    • 竞争公司之间的敌对关係
    • 替代品的威胁
    • 买方议价能力
    • 新进入者的威胁
    • 供应商的议价能力

主要市场考察

  • 关键成功因素
  • 竞争程度
  • 关键投资机会
  • 市场生态系统
  • 技术进步
  • 监管环境
  • 案例研究分析
  • PESTEL分析
  • Start-Ups分析
  • 总体经济指标
  • 市场吸引力指数
  • 价格分析

资料註释工具的全球市场规模:按註释类型分類的复合年增长率(2024-2031)

  • 市场概况
  • 图像标註
  • 影片註释
  • 文字註释
  • 音讯註释
  • 3D註释

资料註释工具的全球市场规模:按部署模型分類的复合年增长率(2024-2031)

  • 市场概况
  • 本地
  • 云端基础

资料註释工具的全球市场规模:按产业分類的复合年增长率(2024-2031)

  • 市场概况
  • 卫生保健
  • 零售
  • 製造业
  • 金融服务
  • 其他的

资料註释工具的全球市场规模:按应用/复合年增长率(2024-2031)

  • 市场概况
  • 物体侦测
  • 影像分割
  • 自然语言处理(NLP)
  • 电脑视觉
  • 机器学习

资料註释工具的全球市场规模:最终用户的复合年增长率(2024-2031)

  • 市场概况
  • 研究与发展(R&D)
  • 人工智慧 (AI) 开发商
  • 机器学习工程师
  • 资料科学团队
  • 资料标註服务供应商

资料标註工具的全球市场规模及复合年增长率(2024-2031)

  • 北美洲
    • 美国
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 西班牙
    • 法国
    • 义大利
    • 其他欧洲国家地区
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 韩国
    • 其他亚太地区
  • 拉丁美洲
    • 巴西
    • 其他拉丁美洲地区
  • 中东/非洲
    • 海湾合作委员会国家
    • 南非
    • 其他中东/非洲

竞争资讯

  • 前5名企业对比
  • 主要企业市场定位(2023年)
  • 主要市场参与者所采取的策略
  • 近期市场趋势
  • 公司市场占有率分析(2023)
  • 主要企业简介
    • 公司简介
    • 产品系列分析
    • 按公司分公司分類的股份分析
    • 收益与前一年同期比较(2021-2023)

主要企业简介

  • IBM
  • Google
  • Microsoft
  • Amazon Web Services(AWS)
  • Hive
  • Snorkel AI
  • SuperAnnotate
  • Labelbox
  • MakeSense AI
  • Nanonets
  • Dataloop
  • Labelbox(US)
  • SuperAnnotate(US)
  • Dataloop(Israel)
  • Annotate.com(US)
  • Appen(Australia)
  • Scale AI(US)
  • LightTag(US)
  • Supervisely(US)
  • Alegion(US)Company-1

结论和建议

简介目录
Product Code: SQMIG45C2064

Global Data Annotation Tools Market size was valued at USD 0.81 billion in 2022 and is poised to grow from USD 1.02 billion in 2023 to USD 6.60 billion by 2031, growing at a CAGR of 26.3% in the forecast period (2024-2031).

The data annotation tools market is experiencing significant growth driven by the escalating demand for artificial intelligence (AI) and machine learning (ML) applications across various industries. From autonomous vehicles to healthcare, and from natural language processing to facial recognition, the integration of AI technologies is widespread. To effectively train these AI models, the necessity for large volumes of accurately annotated data is paramount, catalyzing the demand for advanced data annotation tools. As enterprises increasingly adopt AI and ML to extract insights, automate workflows, and enhance decision-making processes, the need for high-quality labeled data becomes evident, further propelling market expansion. Businesses are realizing the critical role that optimized data plays in refining operations and delivering tailored customer experiences. Moreover, the healthcare and life sciences sectors are also contributing to market growth, as AI-driven solutions transform medical research, diagnostics, and treatment methodologies. This evolution comes with a heightened requirement for meticulously annotated medical data for both training and validation purposes. Collectively, these factors underscore the increasing importance and versatility of data annotation tools, positioning them as crucial components in the successful implementation of AI technologies across various domains.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global Data Annotation Tools market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global Data Annotation Tools Market Segmental Analysis

Global Data Annotation Tools Market is segmented by Annotation Type, Deployment Model, Industry Vertical, Application, End User and region. Based on Annotation Type, the market is segmented into Image Annotation, Video Annotation, Text Annotation, Audio Annotation, 3D Annotation. Based on Deployment Model, the market is segmented into On-Premise, Cloud-Based. Based on Industry Vertical, the market is segmented into Automotive, Healthcare, Retail, Manufacturing, Financial Services. Based on Application, the market is segmented into Object Detection, Image Segmentation, Natural Language Processing (NLP), Computer Vision, Machine Learning. Based on end user, the market is segmented into Data Science Teams, Artificial Intelligence (AI) Developers, Machine Learning Engineers, Research and Development (R&D) Organizations, Data Annotation Service Providers. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & and Africa.

Driver of the Global Data Annotation Tools Market

The Global Data Annotation Tools market is being driven by the rapid expansion of AI applications across various sectors. Technologies such as natural language processing, computer vision, and autonomous vehicles are increasingly in use, all of which depend significantly on high-quality annotated data for optimal performance and accuracy. As these AI applications evolve in sophistication and scale, they create a heightened need for advanced data annotation tools that can efficiently handle the demands of intricate datasets. This surge in AI-driven initiatives is anticipated to propel the growth of the data annotation tools market substantially in the coming years.

Restraints in the Global Data Annotation Tools Market

One significant restraint in the Global Data Annotation Tools market is the challenge of ensuring quality assurance and validation. The effectiveness of AI models heavily relies on the precision and reliability of data annotations. Achieving high-quality annotations requires substantial human expertise and oversight, which can be difficult to maintain consistently. If the annotations are inaccurate or inconsistent, it can result in biased or flawed AI models, thus undermining their performance. This risk not only hampers the overall efficacy of AI applications but also poses a significant threat to the market's growth and sustainability, creating additional obstacles for providers and users alike.

Market Trends of the Global Data Annotation Tools Market

The Global Data Annotation Tools market is witnessing a significant trend towards AI-powered and automated annotation solutions, driven by the exponential growth of data volume and complexity across industries. Organizations increasingly recognize the necessity for precise and efficient data labeling to enhance machine learning model training. Leveraging state-of-the-art algorithms, computer vision, and natural language processing, these advanced tools automate annotation processes, considerably reducing the manual effort and time involved. As companies strive for faster, cost-effective solutions to bolster the efficiency and accuracy of their AI applications, the demand for such innovative data annotation technologies is expected to surge, transforming the industry landscape.

Table of Contents

Introduction

  • Objectives of the Study
  • Scope of the Report
  • Definitions

Research Methodology

  • Information Procurement
  • Secondary & Primary Data Methods
  • Market Size Estimation
  • Market Assumptions & Limitations

Executive Summary

  • Global Market Outlook
  • Supply & Demand Trend Analysis
  • Segmental Opportunity Analysis

Market Dynamics & Outlook

  • Market Overview
  • Market Size
  • Market Dynamics
    • Driver & Opportunities
    • Restraints & Challenges
  • Porters Analysis & Impact
    • Competitive rivalry
    • Threat of substitute
    • Bargaining power of buyers
    • Threat of new entrants
    • Bargaining power of suppliers

Key Market Insights

  • Key Success Factors
  • Degree of Competition
  • Top Investment Pockets
  • Market Ecosystem
  • Technological Advancement
  • Regulatory Landscape
  • Case Study Analysis
  • PESTEL Analysis
  • Startup Analysis
  • Macro-Economic Indicators
  • Market Attractiveness Index
  • Pricing Analysis

Global Data Annotation Tools Market Size by Annotation Type & CAGR (2024-2031)

  • Market Overview
  • Image Annotation
  • Video Annotation
  • Text Annotation
  • Audio Annotation
  • 3D Annotation

Global Data Annotation Tools Market Size by Deployment Model & CAGR (2024-2031)

  • Market Overview
  • On-Premises
  • Cloud-Based

Global Data Annotation Tools Market Size by Industry Vertical & CAGR (2024-2031)

  • Market Overview
  • Automotive
  • Healthcare
  • Retail
  • Manufacturing
  • Financial Services
  • Others

Global Data Annotation Tools Market Size by Application & CAGR (2024-2031)

  • Market Overview
  • Object Detection
  • Image Segmentation
  • Natural Language Processing (NLP)
  • Computer Vision
  • Machine Learning

Global Data Annotation Tools Market Size by End User & CAGR (2024-2031)

  • Market Overview
  • Research and Development (R&D)
  • Artificial Intelligence (AI) Developers
  • Machine Learning Engineers
  • Data Science Teams
  • Data Annotation Service Providers

Global Data Annotation Tools Market Size & CAGR (2024-2031)

  • North America, (Annotation Type, Deployment Model, Industry Vertical, Application, End User)
    • US
    • Canada
  • Europe, (Annotation Type, Deployment Model, Industry Vertical, Application, End User)
    • UK
    • Germany
    • Spain
    • France
    • Italy
    • Rest of Europe
  • Asia-Pacific, (Annotation Type, Deployment Model, Industry Vertical, Application, End User)
    • China
    • India
    • Japan
    • South Korea
    • Rest of Asia Pacific
  • Latin America, (Annotation Type, Deployment Model, Industry Vertical, Application, End User)
    • Brazil
    • Rest of Latin America
  • Middle East & Africa, (Annotation Type, Deployment Model, Industry Vertical, Application, End User)
    • GCC Countries
    • South Africa
    • Rest of Middle East & Africa

Competitive Intelligence

  • Top 5 Player Comparison
  • Market Positioning of Key Players, 2023
  • Strategies Adopted by Key Market Players
  • Recent Developments in the Market
  • Company Market Share Analysis, 2023
  • Company Profiles of All Key Players
    • Company Details
    • Product Portfolio Analysis
    • Company's Segmental Share Analysis
    • Revenue Y-O-Y Comparison (2021-2023)

Key Company Profiles

  • IBM
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Google
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Microsoft
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Amazon Web Services (AWS)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Hive
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Snorkel AI
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • SuperAnnotate
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Labelbox
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • MakeSense AI
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Nanonets
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Dataloop
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Labelbox (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • SuperAnnotate (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Dataloop (Israel)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Annotate.com (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Appen (Australia)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Scale AI (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • LightTag (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Supervisely (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Alegion (US)Company-1
    • Conclusio Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments

Conclusion & Recommendation