Data Annotation and Labeling Market

The global data annotation and labeling market is projected to register a CAGR of 33.2% during the forecast period, reaching USD 3.6 billion by 2027 from an estimated USD 0.8 billion in 2022. Major drivers for the market include the growing need to enhance machine learning models and need to train AI algorithms to enhance the performance. As Al algorithms are trained rather than programmed, it drives the need for huge amounts of accurately labeled, high-quality datasets to ensure an optimum efficiency.

As a result, there is a significant need for data annotation and labelling tools to annotate data streams that can be reliably fed into AI and ML models. The high cost incurred in manual data annotation is one of the underlying restraints of the market for data annotation and labeling. It might take a lot of time and money to manually annotate large datasets for projects that frequently use them in order to ensure  the high data quality.

Top Data Annotation and Labeling Companies include

• Appen (Australia)
• Oracle (US)
• TELUS International (Canada)
• LightTag (Germany)
• Keylabs (Israel) and many more....

These players have adopted various organic and inorganic growth strategies, such as new product launches, partnerships and collaborations, and mergers and acquisitions, to expand their presence in the data annotation and labeling market.

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Appen is one of the world's leading companies in data for the AI Lifecycle. With more than 25 years of experience in data sourcing, data annotation, and human model evaluation, the company helps businesses introduce cutting-edge AI systems. In addition to the market's most sophisticated AI-assisted data annotation platform, its expertise includes a worldwide pool of over one million professional contractors who know more than 235 languages in over 70,000 locations across 170 countries. To offer the highest level of quality and efficiency, Appen has developed specialized capabilities that are integrated into products and processes. It offers a wide range of products and services, enabling global leaders in technology, automotive, financial services, retail, healthcare, and governments to launch top-tier AI products confidently. Appen’s AI platform provides the highest-quality training data for ML projects by fusing the human intelligence of over a million individuals around the world with cutting-edge models. The platform can also annotate various types of raw data, including text, video, image, and audio, to produce the precise ground truth required for models.

TELUS International develops, builds, and distributes cutting-edge digital solutions to improve customer experience for disruptive and international businesses. The company's services help its clients rapidly adopt next-generation digital technology and produce superior business results over their digital transformation journey. The integrated solutions and capabilities of TELUS International include AI Data Annotation, Ground Truth Annotate which enable teams to be more efficient, rapid, and precise in producing quality AI training datasets at scale. They also include digital strategy, innovation, consulting, and design, as well as digital transformation and IT lifecycle solutions. TELUS International partners with companies across high-growth sector verticals, such as tech and games, communications and media, eCommerce and fintech, healthcare, and travel and hospitality, to fuel corporate growth at all stages.

Oracle is a world leader in offering a wide range of products, services, and solutions that are intended to satisfy the needs of business IT environments, including platforms, applications, and infrastructure. It operates through three business segments: cloud and license, hardware, and services. Oracle's customers include businesses of all sizes, governments, academic organizations, and resellers. The company offers its goods and services both directly and indirectly through a worldwide sales force and the Oracle Partner Network. The business focuses in developing, distributing, and marketing databases, application software, and hardware systems. It offers solutions such as Cloud Infrastructure Data Labeling, Cloud Infrastructure AI services and Machine Learning services to build, train, deploy, and manage custom learning models. It is present in over 175 countries and caters to more than 4,30,000 customers across the globe in various verticals such as banking, telecommunications, engineering and construction, financial services, healthcare, insurance, public sector, retail, and utilities verticals.

LightTag, based in Germany, is a prominent player in the data annotation and labeling market, specializing in text data. Their platform is designed to streamline and enhance the efficiency of text annotation tasks such as entity recognition, classification, and sentiment analysis. LightTag's tools support collaborative annotation, enabling teams to work together effectively while maintaining consistency and quality. The platform also incorporates robust quality control mechanisms to ensure the accuracy and reliability of annotated data, making it a valuable resource for training AI and machine learning models.

Keylabs, headquartered in Israel, is a significant player in the data annotation and labeling market, offering comprehensive solutions for various types of data including images, videos, and text. Their platform is designed to support high-quality annotation processes essential for training AI and machine learning models. Keylabs focuses on providing scalable and customizable annotation services, ensuring precision and efficiency through advanced tools and a managed workforce. Their services cater to diverse industries such as autonomous vehicles, healthcare, and retail, helping clients enhance their AI applications with accurately labeled data.

Related Reports:

Data Annotation and Labeling Market by Component, Data Type, Application (Dataset Management, Sentiment Analysis), Annotation Type, Vertical (BFSI, IT and ITES, Healthcare and Life Sciences) and Region - Global Forecast to 2027