ICT companies are extensively adopting technologies such as cloud computing and artificial intelligence to ensure seamless operations as teams continue working from home. Focus on fast automation, use of real-time operation within various end-use sectors such as automotive, food & beverage and others will provide stimulus to the growth.

The report offers actionable and valuable market insights on the Text Data Collection and Labelling. The latest report by Fact.MR provides details on the present scenario of the market across various regions along with the historic data and forecast of the market. The report also includes information on the sales and demand of Text Data Collection and Labelling across various industries and regions.

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Key Segments Covered in Data Collection and Labeling Industry Report

• By Data Type

  • Text
  • Image/Video
  • Audio

• By Vertical

  • IT
  • Automotive
  • Government
  • Healthcare
  • BFSI
  • Retail & E-commerce
  • Others

Competitive Landscape

Collaborations with manufacturers make it possible for businesses to increase production and meet consumer demand, which increases revenue and market share. As a result of new technologies and products, end-users will be able to benefit from products and funding in the industries.

• In January 2022, AIMMO, a Korean startup built an AI data annotation platform, which enables enterprises to read and label image, video, sound, text, and sensor fusion data faster and more accurately. The company has raised $12 million in a Series A round to bolster its data labeling technology and expand globally. Its software eliminates the inefficiencies of the annotating process, freeing customers to focus on their AI models.
• In November 2021, Scale AI acquired SiaSearch, which would allow it to extend its reach in Europe and develop its newest product more quickly. The nucleus is designed to weave SiaSearch’s technology into Nucleus so any AI developer can access data, even those outside the automotive and AV industries.