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Natural Language Processing (NLP) In Healthcare And Life Sciences Market Forecast 2025-2034: Analysing Major Trends, Opportunities, and Growth Drivers
How Are the key drivers contributing to the expansion of the natural language processing (nlp) in healthcare and life sciences market?The healthcare and life sciences market is witnessing a growth surge in Natural Language Processing (NLP), propelled by the expanding use of digital technology in the healthcare sector. The application of information and communication tech in medical and health-related professions to treat patients, mitigate health dangers and endorse health and wellness is referred as digital technology in healthcare. NLP, a digital healthcare technology, is leveraged to analyze fragmented data and yield precious medicinal knowledge. For example, GOV.UK, an information and government services site based in UK, revealed in a press release in December 2022 that the NHS App saw a rise in its user base by over 7 million in 2022. This takes the total number of registered users to more than 30 million, exceeding the government's goal of getting 68% of England's populace registered by March 2023. They are also on track to reach a milestone of 75% registration by 2024. Consequently, the escalating adoption of digital technology in healthcare is anticipated to boost the NLP growth in the healthcare and life sciences market.
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What growth opportunities are expected to drive the natural language processing (nlp) in healthcare and life sciences market's CAGR through 2034?
The market size of natural language processing (NLP) in healthcare and life sciences has witnessed a rapid surge in recent years. It is projected to expand from $3.07 billion in 2024 to $3.72 billion in 2025, at a compound annual growth rate (CAGR) of 21.1%. The growth during the historical period can be credited to factors such as the adoption of electronic health records (EHR), enhancement of clinical documentation, exploration of medical literature, the increasing need for clinical decision support, and escalating healthcare costs.
In the coming years, the healthcare and life sciences market, specifically in the sector of natural language processing (NLP), is projected to witness rigorous expansion. The market size is predicted to reach a total value of $8.84 billion by the year 2029, showing a compound annual growth rate (CAGR) of 24.2%. This notable growth potential over the forecast period is primarily due to factors such as the emergence of AI-driven personalized medicine, the increase in telemedicine, regulatory compliance and coding, advances in genomics and precision medicine, and improved interoperability of healthcare data. Key trends during the projected period comprise patient care driven by conversational AI, the use of semantic search and knowledge graphs, ethical use of NLP, real-time application of clinical NLP, and processing narrative data.
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What are the emerging trends shaping the future of the natural language processing (nlp) in healthcare and life sciences market?
The rise of technological innovations is a prevailing trend in the Natural Language Processing (NLP) market within the healthcare and life sciences sectors. Companies leading the NLP healthcare and life sciences market are focusing on developing novel technologies to boost data interpretation and patient service. As an illustration, John Snow Labs, a prominent healthcare AI firm from the US, rolled out Spark NLP 4.0 in June 2022. This introduced question-answering annotators along with hundreds of pre-trained models grounded on BERT, ALBERT, DeBERTa, RoBERTa, DistilBERT, Longformer, and XLM-RoBERTa. These models cultivate multi-language support, encompassing various document types and performance objectives, thus augmenting the functionality of NLP in healthcare and life sciences.
Which growth-oriented segments of the natural language processing (nlp) in healthcare and life sciences market are leading the industry's development?
The natural language processing (NLP) in healthcare and life sciences market covered in this report is segmented -
1) By NLP Type: Rule-Based NLP, Statistical NLP, Hybrid NLP
2) By Component: Solutions, Services,
3) By Organization Size: Large Enterprises, Small And Midsize Enterprises (SMEs)
4) By Application: Sentiment Analysis, Drug Discovery, Clinical Trail Matching, Risk And Compliance Management, Dictation And EMR Implication, Automated Registry Reporting, AI Chatbots And Virtual Scribe, Other Applications
5) By End-User: Public Health And Government Agencies, Medical Devices, Healthcare Insurance, Pharmaceuticals, Other End-Users
Subsegments:
1) By Rule-Based NLP: Expert Systems, Knowledge-Based Approaches, Grammar-Based NLP
2) By Statistical NLP: Machine Learning Models, Natural Language Understanding (NLU), Text Classification And Clustering
3) By Hybrid NLP: Combining Rule-Based And Statistical Approaches, Context-Aware NLP, Deep Learning Models
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What regions are leading the charge in the natural language processing (nlp) in healthcare and life sciences market?
North America was the largest region in the NLP in healthcare and life sciences market in 2024. The regions covered in the natural language processing (NLP) in healthcare and life sciences market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa
What companies are at the forefront of innovation in the natural language processing (nlp) in healthcare and life sciences market?
Major companies operating in the natural language processing (NLP) in healthcare and life sciences market include Google LLC, Microsoft Corporation, Optum Inc., Amazon Web Services Inc., International Business Machines Corporation, 3M Company, IQVIA Holdings Inc., Cerner Corporation, Inovalon Holdings Inc., NextGen Healthcare Inc., Welltok Inc., SparkCognition Inc., HealthFusion Inc., Syapse Inc., Apixio Inc., Conversica Inc., Infermedica, Rasa Technologies, Health Fidelity Inc., Linguamatics Ltd., Dolbey Systems Inc., SparkBeyond, Lexalytics Inc., Clinithink Ltd., Semedy AG, Sentient Technologies LLC, Zyla Health, Anumana Inc., Heath Fidelity Inc., Averbis GmbH
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What Is Covered In The Natural Language Processing (NLP) In Healthcare And Life Sciences Global Market Report?
• Market Size Forecast: Examine the natural language processing (nlp) in healthcare and life sciences market size across key regions, countries, product categories, and applications.
• Segmentation Insights: Identify and classify subsegments within the natural language processing (nlp) in healthcare and life sciences market for a structured understanding.
• Key Players Overview: Analyze major players in the natural language processing (nlp) in healthcare and life sciences market, including their market value, share, and competitive positioning.
• Growth Trends Exploration: Assess individual growth patterns and future opportunities in the natural language processing (nlp) in healthcare and life sciences market.
• Segment Contributions: Evaluate how different segments drive overall growth in the natural language processing (nlp) in healthcare and life sciences market.
• Growth Factors: Highlight key drivers and opportunities influencing the expansion of the natural language processing (nlp) in healthcare and life sciences market.
• Industry Challenges: Identify potential risks and obstacles affecting the natural language processing (nlp) in healthcare and life sciences market.
• Competitive Landscape: Review strategic developments in the natural language processing (nlp) in healthcare and life sciences market, including expansions, agreements, and new product launches.
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