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Data Annotation Tools Market Size Worth $3.4 Billion by 2028: Grand View Research, Inc.

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San Francisco, March 02, 2022 (GLOBE NEWSWIRE) — The global data annotation tools market size is expected to reach USD 3.4 billion by 2028, according to a new report by Grand View Research, Inc. The market is expected to expand at a CAGR of 27.1% from 2021 to 2028. The advent of big data is expected to drive the growth of the artificial intelligence market as a large volume of information is required to be recorded, stored, and analyzed. The adoption of artificial intelligence is expected to significantly boost market growth as the annotated information acts as a catalyzer to train AI models and machine learning systems in critical areas such as speech recognition and image recognition. These tools offer AI its strength by directly providing information that is relevant to determining future outcomes and decision-making.

Key Insights & Findings from the report:

  • Rising demand for machine learning in automated data analytics is expected to augment demand for automatic information labeling tools in various data-driven applications. In addition, a rising focus on image annotation is anticipated to enhance the operations of the automotive, retail, and healthcare sector and thus is expected to propel market growth.
  • In terms of annotation type, the manual segment captured the largest revenue share in 2020.The attributes such as accuracy, able to capture edge cases, and intelligent human resource is efficient enough to ensure high quality across large volumes of data. Which make manual annotation tools highly suitable to train machine learning algorithms for computer vision applications.
  • Information labeling tools find greater acceptance in the automobile industry, especially for self-driving vehicles. High-resolution cameras, LIDAR sensors, and a huge amount of information are needed for creating the training data sets for such highly sensitive visual perception models in autonomous vehicles.
  • To gain a competitive edge in the market, key players have started adopting the client base expansion strategy by raising funds for the development of their platform. For instance, in February 2020, Labelbox, Inc. raised a series B funding of around USD 25 million to enhance its platform with data labeling capabilities for AI training models. The funds were used to accelerate the computer vision and machine learning models by augmenting the size of the company’s sales and engineering teams.

Read 101-page market research report, “Data Annotation Tools Market Size, Share & Trends Analysis Report By Type (Text, Image/Video, Audio), By Annotation Type (Manual, Automatic, Semi-supervised), By Vertical, By Region, And Segment Forecasts, 2021 – 2028”, published by Grand View Research.

Data Annotation Tools Market Growth & Trends

Currently, there is a growing trend of manufacturing autonomous vehicles in the automotive industry, which is attracting larger investments for the development of these vehicles. An autonomous vehicle includes a combination of various sensors and networking systems that assist the computer in driving the vehicle. The annotated information allows autonomous vehicle computer models to recognize and learn from it. Several technology providers such as Google LLC; Tesla Motors; Apple Inc.; and Huawei Technologies Co., Ltd. have also entered the autonomous vehicle market. The rising investments in the self-driving market are expected to drive the future demand of the data annotation market. For instance, in February 2021, Appen Limited, a provider of effective training data and AI systems, announced the launch of new training data annotation and quality assurance services for autonomous vehicle manufacturers.

The rising innovations in the retail segment, specifically in improving the e-commerce sector, using the information labeling tools is expected to drive the market demand over the forecast period. For instance, in February 2019, Walmart Labs acquired Dataturks, an India-based data annotation start-up. Dataturks offers annotation tools for image and text information by using machine learning. The acquisition helped drive innovations in the catalog quality and other aspects of the Walmart merchandising platform.

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Data Annotation Tools Market Segmentation

Grand View Research has segmented the global data annotation tools market based on type, annotation type, vertical, and region:

Data Annotation Tools Type Outlook (Revenue, USD Million, 2017 – 2028)

  • Text
  • Image/Video
  • Audio

Data Annotation Tools Annotation Type Outlook (Revenue, USD Million, 2017 – 2028)

  • Manual
  • Semi-supervised
  • Automatic

Data Annotation Tools Vertical Outlook (Revenue, USD Million, 2017 – 2028)

  • IT
  • Automotive
  • Government
  • Healthcare
  • Financial Services
  • Retail
  • Others

Data Annotation Tools Regional Outlook (Revenue, USD Million, 2017 – 2028)

  • North America
    • The U.S.
    • Canada
    • Mexico
  • Europe
    • Germany
    • U.K.
    • France
  • Asia Pacific
    • China
    • Japan
    • India
  • South America
  • Middle East and Africa

List of Key Players of Data Annotation Tools Market

  • Annotate.com
  • Appen Limited
  • CloudApp
  • Cogito Tech LLC
  • Deep Systems
  • Labelbox, Inc
  • LightTag
  • Lotus Quality Assurance
  • Playment Inc
  • Tagtog Sp. z o.o
  • CloudFactory Limited
  • Clickworker GmbH
  • Alegion
  • Figure Eight Inc.
  • Amazon Mechanical Turk, Inc
  • Explosion AI GMbH
  • Mighty AI, Inc.
  • Trilldata Technologies Pvt Ltd
  • Scale AI, Inc.
  • Google LLC
  • Lionbridge Technologies, Inc
  • SuperAnnotate LLC

Check out more related studies published by Grand View Research:

  • Data Labeling Solution And Services Market – The global data labeling solution and services market size is expected to reach USD 38.11 billion by 2028, according to a new report by Grand View Research, Inc. The market is anticipated to register a CAGR of 23.5% from 2021 to 2028. The rising popularity of data labeling solutions and services in the automotive industry, combined with autonomous vehicles that contain numerous sensors and networking systems that assist the computer driving the car, is propelling the growth of the market.
  • Alternative Data Market – The global alternative data market size is expected to reach USD 69.36 billion by 2028, according to a new report by Grand View Research, Inc. It is expected to expand at a CAGR of 58.5% from 2021 to 2028. The increasing emphasis on gaining alpha from hedge funds is expected to boost the demand for alternative data.
  • User Generated Content Platform Market – The global user generated content platform market size is expected to reach USD 18.65 billion by 2028, according to a new report by Grand View Research, Inc. The market is expected to expand at a CAGR of 26.6% from 2021 to 2028. User Generated Content (UGC) or User Generated Content Platform can be defined as software-as-a-service (SaaS) that helps organizations curate images, videos, and text from social media and other online resources to repurpose for creating their brand’s authentic story.

Browse through Grand View Research’s Next Generation Technologies Industry Research Reports.

About Grand View Research

Grand View Research, U.S.-based market research and consulting company, provides syndicated as well as customized research reports and consulting services. Registered in California and headquartered in San Francisco, the company comprises over 425 analysts and consultants, adding more than 1200 market research reports to its vast database each year. These reports offer in-depth analysis on 46 industries across 25 major countries worldwide. With the help of an interactive market intelligence platform, Grand View Research Helps Fortune 500 companies and renowned academic institutes understand the global and regional business environment and gauge the opportunities that lie ahead.

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Contact:

Sherry James
Corporate Sales Specialist, USA
Grand View Research, Inc.
Phone: 1-415-349-0058
Toll Free: 1-888-202-9519
Email: [email protected]
Web: https://www.grandviewresearch.com
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Artificial Intelligence

Transforming Healthcare with AI: Yidu Tech’s Gong Rujing at Summer Davos

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DALIAN, China, July 1, 2024 /PRNewswire/ — “AI in healthcare is extremely challenging. For companies, it requires not only solving scientific problems but also understanding AI technology and respecting the complexity of the healthcare industry.” At the 15th Annual Meeting of the New Champions, also known as Summer Davos, Ms. Gong Rujing (Yingying), Chairwoman and Founder of Yidu Tech, was invited as a distinguished representative of the healthcare technology sector. She shared her unique insights into the future of AI in healthcare during the thematic dialogue on “Healthcare Analytics, Not Moving Fast Enough.”

This year marks the 10th anniversary of Yidu Tech and Ms. Gong Rujing’s decade-long dedication to the healthcare industry. From the inception of her entrepreneurial journey 10 years ago, she has been driven by the mission to leverage the power of technology to deliver precise healthcare to every individual.
Ms. Gong described the past decade as a journey filled with miracles and achievements. During this period, Yidu Tech has progressively established close collaborations with key stakeholders in the healthcare industry, including government agencies, hospitals, pharmaceutical companies, insurance firms, experts, and clinicians. As of March 31, 2024, Yidu Tech’s “AI Medical Brain” YiduCore has been authorized to process and analyze over 5 billion medical records, covering more than 2,500 hospitals.
In AI-powered clinical research, Yidu Tech has supported researchers and clinicians in producing over 240 high-level papers, accelerating the application of research outcomes. Additionally, Yidu Tech provides clinical trial services to globally renowned pharmaceutical companies, helping them optimize trial processes, reduce costs, and bring new drugs to market more swiftly, ultimately benefiting patients. In healthcare management, Yidu Tech’s AI technology plays a crucial role by analyzing vast amounts of medical data to provide comprehensive decision support to healthcare administrators, helping them optimize resource allocation and improve service efficiency.
“We are now entering a new era of AI technology.” The development of large language model technologies has opened up new possibilities across various industries. Yidu Tech has independently developed a large language model specific to the medical field and is advancing its application across the entire healthcare industry chain. The goal is to promote further progress and innovation through new AI technologies. However, Ms. Gong also emphasized that the healthcare industry is professional, complex, and sensitive, and the application of new technologies must address challenges such as data security, privacy protection, and ethics.
“Data security and privacy protection are fundamental to the development of AI technology and medical big data technology. We must ensure that all stakeholders are satisfied with compliance, security, accessibility, and privacy protection.”
“AI technology still has a long way to go.” She called on policymakers, healthcare institutions, and technology companies to work together to realize the immense potential of healthcare data. Ms. Gong highlighted that building trust is key, and enhancing data operability is essential to fully unleash the power of data. “It’s not just about better data quality; it’s about a better future for health.”

View original content:https://www.prnewswire.co.uk/news-releases/transforming-healthcare-with-ai-yidu-techs-gong-rujing-at-summer-davos-302186561.html

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Artificial Intelligence

Yidu Tech’s FY2024 results: existing business achieves first full-year profit on adjusted EBITDA

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HONG KONG, July 1, 2024 /PRNewswire/ — On June 27, 2024, Yidu Tech Inc. (the ”Company” or ”Yidu Tech”) (2158.HK), a leader in China’s AI medical industry, announced its results for the 2024 fiscal year. During the reporting period, the Company recorded revenue of RMB 807.1 million. Gross profit margin in FY2024 increased to 42.1% from 34.1% in FY2023, representing an increase of 8 percentage points, hitting a record high. Adjusted net loss narrowed from RMB 448.7 million in FY2023 to RMB158.1 million, down 64.8% year-on-year. The management of Yidu Tech said at the annual results conference the next day that excluding strategic investments in proprietary large language model, non-cash items, and non-operating items, the adjusted EBITDA for our current business has achieved profit, moving from a RMB 327 million loss to a profit of RMB 31.1 million for the first time this fiscal year.

Management added that as of market close on June 27, the Company’s P/B ratio has decreased to 1.06. Not including the valuation of its domestic and international businesses, its market value is still lower than its fund reserves on hand. As such, management believes that the Company’s share price is still severely undervalued. Notably, renowned sovereign fund BIA has continually increased its shareholding of Yidu Tech by 21.50% over the past two months. The management is confident in the Company’s long-term growth potential and hopes to continually create innovative technologies and increase returns to its shareholders.
In FY2024, Yidu Tech focused on its core business, improving internal operating efficiency and earning quality. Among its earnings, revenue from its big data platform and solutions segment reached RMB 313.6 million, an increase of 41.4% year-on-year. Revenue from its life science solutions segment reached RMB 324.0 million, up 28.1% year-on-year and the gross margin increased by 14.6 percentage points to a historical high of 32.1%. Revenue from its health management platform and solutions segment reached RMB 169.5 million, and the gross profit margin of this segment was 58.1%, representing a year-on-year increase of 17.4 percentage points.
During the reporting period, the Company has continued the development and training of large language model in the medical vertical field based on 500 billion fine-trained Tokens, with model training for 6B, 13B, and 70B parameters completed.

View original content:https://www.prnewswire.co.uk/news-releases/yidu-techs-fy2024-results-existing-business-achieves-first-full-year-profit-on-adjusted-ebitda-302185986.html

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Artificial Intelligence

Lucinity’s AI Innovation Recognized at Microsoft’s Prestigious Global Partner Awards 2024

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REYKJAVIK, Iceland, June 28, 2024 /PRNewswire/ — Lucinity has been recognized as a finalist in the AI Innovation category at the prestigious Microsoft Global Partner Awards 2024, recognizing its breakthrough AI solution and contribution to financial security through its collaboration with Microsoft. 

Lucinity beat more than 4,700 companies to be named a finalist at the annual Microsoft Global Partner Awards, which highlights Lucinity’s achievements as a Microsoft partner in optimizing business processes, improving customer experiences, and opening new pathways for digital transformation.
This achievement comes in addition to winning two prestigious awards at Microsoft Partner Awards 2024 last month, including Partner of the Year – Iceland, and the Sustainability and Social Impact award.
The accolade recognizes Lucinity’s significant advancements in AI for financial crime operations, particularly through their AI-powered copilot, Luci. This innovative solution utilizes Microsoft Azure OpenAI technology to integrate advanced generative AI into financial crime investigations and regulatory compliance, optimizing processes and saving significant time and resources for financial institutions.
The Lucinity platform streamlines compliance, provides instant insights, and reduces typical investigation times from three hours to just 30 minutes. The technology can also save financial institutions an estimated $100 million in productivity savings, as well as savings in training and recruitment.
Microsoft comments on Lucinity’s award recognition, saying “Financial crime profoundly impacts our global community, with far-reaching economic, security, and social implications. It can harm a country’s reputation and increase exposure to criminal activities, emphasizing the critical need for robust anti-money laundering initiatives and persistent vigilance. Lucinity, with their innovative AI solutions, has really tried to combat this huge global challenge. They use ‘Human AI’ to enhance financial crime prevention, combining AI with human expertise for efficient, user-friendly solutions. Additionally, Lucinity has developed a tool called Luci, an AI-powered copilot that helps transform financial crime prevention from a process that took hours to one that takes minutes.”
“Being recognized as a finalist at the Microsoft Global Partner Awards is  validation of our impactful collaboration with Microsoft in financial crime operations. Our partnership has been pivotal for our innovations, enabling us to use Azure OpenAI to bring tools like Luci to life and deliver impactful results for our clients,” says Guðmundur Kristjánsson, Founder & CEO of Lucinity.
Contact:Name: Celina PabloEmail: [email protected]: +354 792 4321
Logo: https://mma.prnewswire.com/media/2208676/4669079/Lucinity_Logo.jpg

View original content:https://www.prnewswire.co.uk/news-releases/lucinitys-ai-innovation-recognized-at-microsofts-prestigious-global-partner-awards-2024-302186091.html

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