AI Training Dataset Market Size, Share & Trends Analysis Report By Type (Text, Image/Video, Audio), By Vertical (IT, Automotive, Government, Healthcare, BFSI), By Regions, And Segment Forecasts, 2022 - 2030

Report Overview

The global AI training dataset market size was valued at USD 1,408.5 million in 2021 and is anticipated to expand at a compound annual growth rate (CAGR) of 22.2% from 2022 to 2030. AI is gaining significant importance in various industry applications such as manufacturing, IT, BFSI, retail, and ecommerce, and healthcare. The growing demand for application-specific training data is also opening opportunities for new entrants. Artificial Intelligence (AI) is becoming vital to big data as the technology allows the extraction of high-level and complex abstractions using a hierarchical learning process leading to the need for mining and extracting meaningful patterns from voluminous data.

The AI enables machines to learn from experience, perform human-like tasks, and adjust to new inputs. These machines are trained to process massive data and determine patterns to accomplish a specific task. In order to train these machines, certain datasets are required. To cater to this requirement, the demand for artificial intelligence training datasets is increasing. The working of machines entirely depends on the dataset provided. Thus, it becomes essential to provide high-quality datasets for training. This high-quality dataset enhances the performance of AI. It also helps in reducing the time required to prepare data and increases the accuracy of predictions. Thus, vendors in the market are also focusing on acquiring companies that can help them to enhance the quality of data.

For instance, in March 2020, Appen Limited, a specialized dataset provider, announced the acquisition of Figure Eight Inc., a provider of the machine learning platform. The latter company creates high-quality data by transforming unlabeled data with the help of automated tools. This acquisition will help the former company to increase the creation speed of a high-quality training dataset. It will also help in enhancing the quality of data.

Type Insights

The text segment dominated the market for AI training dataset and accounted for the largest revenue share of 32.2% in 2021. This is due to the high use of text datasets in the IT sector for various automation processes such as speech recognition, text classification, caption generation, and others. The audio segment is expected to cater to moderate share due to the availability of a wide range of audio datasets. These include music datasets, speech datasets, speech commands dataset, Multimodal Emotion Lines Dataset (MELD), environmental audio datasets, and many others.

The image/video type segment is expected to witness the highest CAGR in the forecast period. This is due to the rising focus of key players to launch new datasets with a rising number of applications. For instance, In May 2020, Google LLC, a multinational technology company, announced the launch of a new AI training dataset named Google-Landmarks-v2 that contains millions of images and thousands of landmarks. The company also launched two challenges on Kaggle, landmark retrieval 2020 and namely landmark recognition 2020. These training datasets were launched for image retrieval and instance recognition and to train better and robust systems.

Vertical Insights

The IT segment dominated the market and accounted for the largest revenue share of 33.2% in 2021. Based on vertical, the market is segmented into it, automotive, government, healthcare, BFSI, retail and e-commerce, and others. AI in healthcare offers various opportunities in therapy areas such as lifestyle and wellness management, diagnostics, virtual assistants, and wearables. Apart from this, AI finds application in voice-enabled symptom checkers and improving organizational workflow. All these applications require an extensive training dataset to provide accurate results. Thus, the use of datasets will rise thereby leading to high CAGR in the forecast period.  

Various technology companies in the market are using machine learning technology to deliver enhanced user experience and develop innovative products. In order to be efficient, machine learning technology requires high-quality training data to make sure that ML algorithms are continuously optimized. Apart from this, high-quality training datasets help IT companies to enhance various solutions such as computer vision, crowdsourcing, data analytics, virtual assistants, and others. Such factors are contributing to the high usage of training datasets in the sector. For instance, In June 2021 Amazon released a large-scaled dataset called Amazon Berkeley Objects to help enable new efficient AI models for image-based shopping.

Regional Insights

North America dominated the artificial intelligence training dataset market and accounted for the largest revenue share of 38.0% in 2021. Vendors in the market are focusing on releasing new datasets to accelerate the adoption of artificial intelligence technology in emerging sectors in the North American region. For instance, In September 2020, Waymo LLC, a Google LLC company, released a new dataset for autonomous vehicles. This dataset comprises sensor data that has been collected from camera sensors and LiDAR under various driving conditions such as cyclists, pedestrians, signage, and others. Such developments are driving the adoption of training datasets in the market, thereby catering to a high share in the market for AI training dataset. 

The adoption rate of emerging technologies is rapidly increasing by organizations in developing countries such as India in order to transform their businesses. Also, various key players are focusing on expanding their presence in the Asia Pacific region. For instance, in July 2020, Microsoft launched a dataset called Indoor Location Dataset to collect various information such as the geomagnetic field, indoor signature of wi-fi, etc. in the buildings located in Chinese cities. These datasets are supposed to help in research and development of navigation, indoor spaces, and localization. Along with Microsoft various other leading players are expanding their presence in this religion. These factors are anticipated to boost dataset usage in the region, thereby leading to a high growth rate in the projected period. In Europe, the market for AI training dataset is anticipated to grow moderately.

Key Companies & Market Share Insights

Key players operating in the market for AI training dataset are adopting strategic initiatives such as mergers, collaborations, and acquisitions to gain competitive edge over others. Key market participants are also focusing on launching new training datasets. For instance, In January 2021, Vector Space AI, a datasets provider, entered into a collaboration with Elasticsearch B.V., a search company. The former company will be providing AI datasets to its users that are built in collaboration with the latter company. Vectorspace AI launched datasets that will power AI, ML and data engineering. Some of the prominent players in the global AI training dataset market include:

• Google, LLC (Kaggle)

• Appen Limited

• Cogito Tech LLC

• Lionbridge Technologies, Inc.

• Amazon Web Services, Inc.

• Microsoft Corporation

• Scale AI Inc.

• Samasource Inc.

• Alegion

• Deep Vision Data

AI Training Dataset Market Report Scope

Segments Covered in the Report

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2017 to 2030. For the purpose of this study, Grand View Research has segmented the global AI training dataset market report based on type, vertical, and region:

• Type Outlook (Revenue, USD Million, 2017 - 2030)

  • Text

  • Image/Video

  • Audio

• Vertical Outlook (Revenue, USD Million, 2017 - 2030)

  • IT

  • Automotive

  • Government

  • Healthcare

  • BFSI

  • Retail & E-commerce

  • Others

• Regional Outlook (Revenue, USD Million, 2017 - 2030)

  • North America

    • U.S.

    • Canada

    • Mexico

  • Europe

    • Germany

    • U.K.

    • France

  • Asia Pacific

    • China

    • Japan

    • India

  • South America

    • Brazil

  • Middle East and Africa