Artificial Intelligence In Precision Medicine Market Size, Share & Trends Analysis Report By Technology (Deep Learning, Querying Method), By Component, By Therapeutic Application, By Region, And Segment Forecasts, 2022 - 2030

Artificial Intelligence In Precision Medicine Market Size, Share & Trends Analysis Report By Technology (Deep Learning, Querying Method), By Component, By Therapeutic Application, By Region, And Segment Forecasts, 2022 - 2030

Artificial Intelligence In Precision Medicine Market Growth & Trends

The global artificial intelligence in precision medicine market size is expected to reach USD 14.5 billion by 2030, expanding at a CAGR of 35.7% during the forecast period, based on a new report by Grand View Research, Inc. The primary factor driving the market expansion is the growing demand for personalized treatment. The increasing demand for reducing healthcare expenditures and growing datasets of patient health-related digital information are other factors helping the market growth.

The rising global geriatric population, changing people’s lifestyles, and growing prevalence of chronic illnesses have all led to an increase in the need for early disease diagnosis and treatment. Machine learning (ML) and artificial intelligence (AI) algorithms are widely adopted and incorporated into healthcare systems to reliably anticipate illnesses in their preliminary stages based on past health records. For instance, a research study conducted at the University of California, Irvine in September 2022 offered a unique method for treating inherited retinal disorders (IRDs) by applying precise genome editing that is highly tailored to the needs of an individual.

COVID-19 had a positive impact on the market. In COVID-19, AI was acknowledged to accomplish precision medicine research. Governments, healthcare organizations, and researchers have teamed up in response to precision medicine to create therapies more quickly. For instance, San Antonio Partnership for Precision Therapeutics funded three initiatives in July 2020 that attempted to hasten COVID-19 intervention. These initiatives concentrated on biological elements, such as the immune system and respiratory tract proteins, which influence a person's reactions to the virus and how scientists can use the information to create treatments.

In July 2022, Certara, Inc., a pioneer in biostimulation, announced a two-year partnership with Memorial Sloan Kettering Cancer Center to create new biosimulation software. To develop a biosimulation platform for CAR T-cell treatment, Certara will collaborate with the MSK Innovation Hub. Immunotherapy known as CAR T-cell treatment employs immune system T-cells that have undergone unique alteration to combat certain types of blood cancer.

Artificial Intelligence In Precision Medicine Market Report Highlights

  • Based on technology, the deep learning segment accounted for the largest market share of 33.7% in 2021, owing to the rising use of cloud-based technologies across several sectors is supporting market growth
  • Based on component the market is segmented into hardware, software, and services, the software segment held the largest market share of 55.7% in 2021. The rapid adoption of AI-based software solutions for precision medicine by healthcare payers, institutions, providers, and patients is expected to drive the software segment's growth in the market
  • By therapeutic application, the oncology segment dominated the market with a revenue share of 30.5% in 2021. Use of AI in oncology aids in faster and more accurate diagnosis of cancer, resulting in improved patient outcomes, and is expected to fuel segment growth over the projected period
  • North America dominated the global market in terms of a market share of 29.6% in 2021. The market's growth in Canada is boosted by rising R&D spending and rising demand for precision medications. Collaborations between important businesses are further fostering the expansion
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Chapter 1 Methodology and Scope
1.1 Market Segmentation and Scope
1.1.1 Technology
1.1.2 Component
1.1.3 Therapeutic Application
1.1.4 regional scope
1.1.5 Estimates and forecast timeline
1.2 Research Methodology
1.3 Information procurement
1.3.1 Purchased database:
1.3.2 GVR’s internal database
1.3.3 Secondary sources
1.3.4 Primary research
1.3.5 Details of primary research
1.4 Information or Data Analysis
1.4.1 Data analysis models
1.5 Market Formulation & Validation
1.6 Model Details
1.6.1 Commodity Flow Analysis (Model 1)
1.6.1.1 Approach 1: Commodity Flow Approach
1.6.2 Volume price analysis (Model 2)
1.6.2.1 Approach 2: Volume price analysis
1.7 List of Secondary Sources
1.8 List of Primary Sources
1.9 List of Abbreviations
1.10 Objectives
1.10.1 Objective 1
1.10.2 Objective 2
1.10.3 Objective 3
1.10.4 Objective 4
Chapter 2 Executive Summary
2.1 Market Outlook
Chapter 3 AI in Precision Medicine Market Variables, Trends & Scope
3.1 Penetration & Growth Prospect Mapping, 2021
3.2 Regulatory Framework
3.3 Market Dynamics
3.3.1 Market driver analysis
3.3.2 Market restraints analysis
3.4 AI in Precision Medicine: Market Analysis Tools
3.4.1 Industry analysis - Porter’s
3.4.2 SWOT analysis, By PEST
3.5 Impact of COVID - 19
Chapter 4 AI in Precision Medicine Market: Segment Analysis, By Technology, 2017 - 2030 (USD Million)
4.1 Definitions & Scope
4.2 Technology Market Share Analysis, 2020 & 2028
4.3 AI in Precision Medicine Market, by Technology, 2017 to 2030
4.4 Market Size Forecasts and Trend Analysis
4.4.1 Deep Learning
4.4.1.1 Deep learning market, 2017 - 2030 (USD Million)
4.4.2 Querying Method
4.4.2.1 Querying method market, 2017 - 2030 (USD Million)
4.4.3 Natural Language Processing
4.4.3.1 Natural language processing market, 2017 - 2030 (USD Million)
4.4.4 Context Aware Processing
4.4.4.1 Context aware processing market, 2017 - 2030 (USD Million)
Chapter 5 AI in Precision Medicine Market: Segment Analysis, By Component, 2017 - 2030 (USD Million)
5.1 Definitions & Scope
5.2 Component Market Share Analysis, 2021 & 2030
5.3 AI in Precision Medicine Market, by Component, 2017 to 2030
5.4 Market Size Forecasts and Trend Analysis
5.4.1 Hardware
5.4.1.1 Hardware market, 2017 - 2030 (USD Million)
5.4.2 software
5.4.2.1 Software market, 2017 - 2030 (USD Million)
5.4.3 Services
5.4.3.1 Services market, 2017 - 2030 (USD Million)
Chapter 6 AI in Precision Medicine Market: Segment Analysis, By Therapeutic Application, 2017 - 2030 (USD Million)
6.1 Definition and Scope
6.2 Therapeutic Application Market Share Analysis, 2020 & 2028
6.3 Market Size & Forecasts and Trend Analyses, 2016 to 2028
6.3.1 Oncology
6.3.1.1 Oncology market, 2017 - 2030 (USD Million)
6.3.2 Cardiology
6.3.2.1 Cardiology market, 2017 - 2030 (USD Million)
6.3.3 Neurology
6.3.3.1 Neurology market, 2017 - 2030 (USD Million)
6.3.4 Respiratory
6.3.4.1 Respiratory market, 2017 - 2030 (USD Million)
6.3.5 Others
6.3.5.1 Others market, 2017 - 2030 (USD Million)
Chapter 7 AI in Precision Medicine Market: Regional Market Analysis, 2017 - 2030 (USD Million)
7.1 Definition & Scope
7.2 Regional Market Share Analysis, 2020 & 2028
7.3 Regional Market Snapshot
7.4 Market Size, & Forecasts, Volume and Trend Analysis, 2020 to 2028
7.4.1 North America AI in Precision Medicine Market, 2017 - 2030 (USD Million)
7.4.2 U.S.
7.4.2.1 U.S. AI in precision medicine market, 2017 - 2030 (USD Million)
7.4.3 CANADA
7.4.3.1 Canada AI in precision medicine market, 2017 - 2030 (USD Million)
7.5 Europe
7.5.1 Europe AI in Precision Medicine Market, 2017 - 2030 (USD Million)
7.5.2 U.K.
7.5.2.1 U.K. AI in precision medicine market, 2017 - 2030 (USD Million)
7.5.2 Germany
7.5.2.1 Germany AI in precision medicine market, 2017 - 2030 (USD Million)
7.5.3 France
7.5.3.1 France AI in precision medicine market, 2017 - 2030 (USD Million)
7.5.4 Italy
7.5.4.1 Italy AI in precision medicine market, 2017 - 2030 (USD Million)
7.5.5 Spain
7.5.5.1 Spain AI in precision medicine market, 2017 - 2030 (USD Million)
7.5.6 Russia
7.5.6.1 Russia AI in precision medicine market, 2017 - 2030 (USD Million)
7.6 Asia Pacific
7.6.1 APAC AI in Precision Medicine Market, 2017 - 2030 (USD Million)
7.6.2 Japan
7.6.2.1 Japan AI in precision medicine market, 2017 - 2030 (USD Million)
7.6.3 China
7.6.3.1 China AI in precision medicine market, 2017 - 2030 (USD Million)
7.6.4 India
7.6.4.1 India AI in precision medicine market, 2017 - 2030 (USD Million)
7.6.5 Australia
7.6.5.1 Australia AI in precision medicine market, 2017 - 2030 (USD Million)
7.6.6 South Korea
7.6.6.1 South Korea AI in precision medicine market, 2017 - 2030 (USD Million)
7.6.7 Singapore
7.6.7.1 Singapore AI in precision medicine market, 2017 - 2030 (USD Million)
7.7 Latin America
7.7.1 Latin America AI in Precision Medicine Market, 2017 - 2030 (USD Million)
7.7.2 Brazil
7.7.2.1 Brazil AI in precision medicine market, 2017 - 2030 (USD Million)
7.7.3 Mexico
7.7.3.1 Mexico AI in precision medicine market, 2017 - 2030 (USD Million)
7.7.4 Argentina
7.7.4.1 Argentina AI in precision medicine market, 2017 - 2030 (USD Million)
7.7.5 Colombia
7.7.5.1 Colombia AI in precision medicine market, 2017 - 2030 (USD Million)
7.8 Middle East and Africa
7.8.1 MEA AI in Precision Medicine Market, 2017 - 2030 (USD Million)
7.8.2 South Africa
7.8.2.1 South Africa AI in precision medicine market, 2017 - 2030 (USD Million)
7.8.3 Saudi Arabia
7.8.3.1 Saudi Arabia AI in precision medicine market, 2017 - 2030 (USD Million)
7.8.4 UAE
7.8.4.1 UAE AI in precision medicine market, 2017 - 2030 (USD Million)
7.8.5 Israel
7.8.5.1 Israel AI in precision medicine market, 2017 - 2030 (USD Million)
Chapter 8 AI in Precision Medicine Market - Competitive Analysis
8.1 Company Profiles
8.2 GE Healthcare
8.2.1 Company overview
8.2.2 Financial performance
8.2.3 Product benchmarking
8.2.4 Strategic initiatives
8.3 SANOFI
8.3.1 Company overview
8.3.2 Financial performance
8.3.3 Product benchmarking
8.3.4 Strategic initiatives
8.4 NVIDIA Corporation
8.4.1 Company overview
8.4.2 Product benchmarking
8.4.3 Strategic initiatives
8.5 INTEL CORPORATION
8.5.1 Company overview
8.5.2 product benchmarking
8.5.3 Strategic initiatives
8.6 MICROSOFT
8.6.1 Company overview
8.6.2 Product benchmarking
8.6.3 strategic initiatives
8.7 IBM
8.7.1 Company overview
8.7.2 Financial performance
8.7.3 Product benchmarking
8.7.4 Strategic initiatives
8.8 Alphabet Inc. (Google Inc.)
8.8.1 Company overview
8.8.2 Product benchmarking
8.9 BIOXCEL THERAPEUTICS INC
8.9.1 Company overview
8.9.2 Product benchmarking
8.9.3 Strategic initiatives
8.10 ENLITIC INC.
8.10.1 Company overview
8.10.2 Product benchmarking
8.10.3 Strategic initiatives
8.11 ASTRAZENECA
8.11.1 Company overview
8.11.2 Product benchmarking
8.11.3 Strategic initiatives

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