The artificial intelligence in life sciences global market report 2024 from The Business Research Company provides comprehensive market statistics, including global market size, regional shares, competitor market share, detailed segments, trends, and opportunities. This report offers an in-depth analysis of current and future industry scenarios, delivering a complete perspective for thriving in the industrial automation software market.
Artificial Intelligence In Life Sciences Market, 2024 report by The Business Research Company offers comprehensive insights into the current state of the market and highlights future growth opportunities.
Market Size –
The artificial intelligence in life sciences market size has grown exponentially in recent years. It will grow from $2.35 billion in 2023 to $2.92 billion in 2024 at a compound annual growth rate (CAGR) of 24.2%. The growth in the historic period can be attributed to increasing number of clinical trials, increasing adoption of ai in the domain of r&d, high emphasis on the development of precision medicine and personalized drugs.
The artificial intelligence in life sciences market size is expected to see exponential growth in the next few years. It will grow to $6.82 billion in 2028 at a compound annual growth rate (CAGR) of 23.6%. The growth in the forecast period can be attributed to the increasing interest in real-time remote patient monitoring (rpm) systems, increasing demand for ai in drug discovery, the increasing adoption of ai in medical imaging analysis. Major trends in the forecast period include strategic partnership, product innovations, technological advacements, investments, research and developments.
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Scope Of Artificial Intelligence In Life Sciences Market
The Business Research Company’s reports encompass a wide range of information, including:
1. Market Size (Historic and Forecast): Analysis of the market’s historical performance and projections for future growth.
2. Drivers: Examination of the key factors propelling market growth.
3. Trends: Identification of emerging trends and patterns shaping the market landscape.
4. Key Segments: Breakdown of the market into its primary segments and their respective performance.
5. Focus Regions and Geographies: Insight into the most critical regions and geographical areas influencing the market.
6. Macro Economic Factors: Assessment of broader economic elements impacting the market.
Artificial Intelligence In Life Sciences Market Overview
Market Drivers –
The increasing interest in real-time remote patient monitoring (RPM) systems is expected to propel the growth of artificial intelligence in the life sciences market going forward. A remote patient monitoring system is a technology-driven healthcare solution designed to monitor patients’ health outside of traditional healthcare settings. AI in life sciences contributes significantly to remote patient monitoring by providing continuous, personalized, and data-driven insights that enable proactive healthcare management. For instance, in August 2023, according to a survey conducted by Vivalink, a US-based digital healthcare company, clinicians’ use of remote patient monitoring (RPM) grew by 20% in 2021 to 81% in 2022, increasing by 305%. Therefore, the increasing interest in real-time remote patient monitoring (RPM) systems is driving the growth of artificial intelligence in the life sciences market.
Market Trends –
Major companies operating in the artificial intelligence in the life sciences market are focusing on innovative products with technological advancements, such as drug discovery software, to sustain their position in the market. Drug discovery software refers to a category of computer programs and applications designed to assist pharmaceutical and biotechnology researchers in the process of discovering new drugs. For instance, in December 2023, Merck, a Germany-based science and technology company, unveiled AIDDISON, a groundbreaking drug discovery software. As the first-ever of its kind, it connects virtual molecule design with real-world manufacturability, using generative AI, machine learning, and computer-aided drug design. AIDDISON efficiently identifies drug candidates from vast possibilities, considering crucial properties like non-toxicity and solubility. Its ability to bridge the gap between virtual molecule design and real-world manufacturability is a notable application of artificial intelligence in the life sciences sector.
The artificial intelligence in life sciences market covered in this report is segmented –
1) By Offering: Software, Hardware, Services
2) By Deployment: On-Premises, Cloud-Based
3) By Application: Drug Discovery, Medical Diagnosis, Biotechnology, Clinical Trails, Precision and Personalized Medicine, Patient Monitoring
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Regional Insights –
North America was the largest region in the Artificial Intelligence In Life Sciences market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence in life sciences market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
Key Companies –
Major companies operating in the artificial intelligence in life sciences market report are Google LLC, Microsoft Corporation, Intel Corporation, IBM Corporation, Medtronic PLC, Nvidia Corporation, Novo Nordisk A/S, Siemens Healthineers AG, Philips Healthcare, Babylon Healthcare Services Ltd., Komodo Health Inc., Modernizing Medicine Inc., Viz.ai Inc., Butterfly Network Inc., Augmedix, AiCure LLC, HealthTap Inc., Welltok Inc., Enlitic Inc., PathAI Inc., Nano-X Imaging Ltd., Berg LLC, Insitro, Sense.ly Inc., Subtle Medical Inc., Medasense Biometrics Limited, Immunai, Atomwise Inc., Freenome Holdings Inc., CloudMedX Inc.
Table of Contents
1. Executive Summary
2. Artificial Intelligence In Life Sciences Market Report Structure
3. Artificial Intelligence In Life Sciences Market Trends And Strategies
4. Artificial Intelligence In Life Sciences Market – Macro Economic Scenario
5. Artificial Intelligence In Life Sciences Market Size And Growth
…..
27. Artificial Intelligence In Life Sciences Market Competitor Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
30. Appendix
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