NLP in Healthcare & Life Sciences Market

Top NLP in Healthcare & Life Sciences Companies - IQVIA (US) and Averbis (Germany) | MarketsandMarkets

The global market for NLP in Healthcare & Life Sciences is projected to grow from USD  2.7 billion in 2023 to USD 11.8 billion by 2028, at a CAGR of 34.4% during the forecast period. The increasing use of electronic health records (EHRs) is a significant factor that boost the growth of NLP in Healthcare & Life sciences. These digitized records contain a wealth of information that harnessed through NLP techniques for various purposes such as improved diagnostics, personalized care, and efficient data management. The advancements in AI and machine learning play a pivotal role by enabling more sophisticated NLP applications, making it easier to extract valuable insights from vast amounts of healthcare data. Additionally, the growing recognition of NLP's potential to enhance healthcare outcomes and meet the demands for personalized medicine and patient-centric care further accelerates its adoption.

Top NLP in Healthcare & Life Sciences Companies include

  • IBM (US)
  • IQVIA (US)
  • Inovalon(US)
  • Averbis (Germany)
  • SAS Institute (US) and many more....

These vendors have adopted various organic and inorganic strategies to sustain their positions and increase their market shares in the global market.

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IQVIA is a leading global provider in the life sciences industry, offering advanced analytics, technology solutions, and clinical research services. The company leverages analytics, transformative technology and vast data resources to establish intelligent connections across all facets of healthcare. Its IQVIA Connected Intelligence platform empowers customers with rapid and impactful insights, facilitating the expedited development and commercialization of innovative medical treatments. This, in turn, enhances patient healthcare outcomes. IQVIA operates in more than 100 countries and has a workforce of approximately 87,000 employees. The company plays a pivotal role in shaping the healthcare landscape and is committed to protecting individual patient privacy. IQVIA uses privacy-enhancing technologies to balance information generation and analysis with safeguarding privacy. This allows healthcare stakeholders to identify disease patterns, correlate treatment paths, and advance cures. IQVIA's insights benefit biotech and pharmaceutical companies, medical researchers, government agencies, payers, and other healthcare entities, fostering a deeper understanding of diseases, human behavior, and scientific progress.

Inovalon is a vital player in the healthcare technology industry, providing compassionate, cloud-based software solutions that enable healthcare providers to deliver more patient-centered care. Its flagship product, the Inovalon ONE Platform, acts as a bridge, connecting healthcare data sources from across the country. This ensures that healthcare professionals have immediate access to the most crucial, real-time medical data, such as electronic health records and clinical notes. Inovalon's dedication to patient well-being is further demonstrated by using advanced analytics to process and draw meaningful insights from the vast pool of healthcare data it manages. Over 20,000 customers, including healthcare providers and payers, rely on Inovalon's analytics and capabilities to streamline healthcare operations and improve patient outcomes.

IBM is a multinational technology corporation that offers infrastructure hosting and other technology services. The company operates through five major business segments: software, consulting, infrastructure, financing, and other. IBM is a global leader in hybrid cloud, AI, and consulting services, serving clients in over 175 countries. IBM empowers businesses to harness data insights, streamline operations, reduce costs, and stay competitive across various industries. IBM's hybrid cloud platform and Red Hat OpenShift are trusted by over 4,000 government and corporate entities, especially in critical sectors such as finance, telecom, and healthcare, for secure and efficient digital transformations. IBM stands out for pioneering advancements in AI, quantum computing, and industry-tailored cloud solutions. Its  consulting services offer flexible and open choices to meet clients' unique requirements. Moreover, IBM’s enduring commitment to values such as trust, transparency, responsibility, inclusivity, and service underlines its dedication to both clients and the community.

Averbis, based in Germany, is a leading provider of natural language processing (NLP) solutions in the healthcare and life sciences market. The company specializes in developing advanced text mining and information extraction tools that help healthcare organizations and research institutions unlock valuable insights from unstructured data. Averbis' technology facilitates the efficient analysis of medical records, research papers, and clinical trial data, enhancing decision-making, accelerating research, and improving patient outcomes. Their innovative solutions support various applications, including pharmacovigilance, clinical documentation, and precision medicine, making significant contributions to the advancement of healthcare and life sciences.

SAS Institute, headquartered in the US, is a prominent player in the NLP in healthcare and life sciences market. The company offers advanced analytics and natural language processing solutions that enable healthcare organizations to extract meaningful insights from vast amounts of unstructured data, such as clinical notes, research publications, and patient records. SAS's NLP technology aids in improving clinical decision-making, enhancing patient care, and accelerating medical research by providing tools for text mining, sentiment analysis, and information extraction. Their solutions support various applications, including disease surveillance, clinical trials, and healthcare fraud detection, significantly contributing to the efficiency and effectiveness of healthcare and life sciences operations.

Related Reports:

NLP in Healthcare & Life Sciences Market by Offering, NLP Type (Statistical, Neural), NLP Technique (Sentiment Analysis, Topic Modeling), Application (Clinical Trial Matching, Clinical Decision Support), End User and Region - Global Forecast to 2028

NLP in Healthcare & Life Sciences Market Size,  Share & Growth Report
Report Code
TC 3660
RI Published ON
11/29/2023
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