+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)
New

Global Artificial Intelligence In Precision Medicine Market Size, Share & Industry Trends Analysis Report By Application (Oncology, Cardiology, Neurology, Respiratory), By Component (Software, Hardware and Service), By Technology, By Regional Outlook and Forecast, 2022 - 2028

  • PDF Icon

    Report

  • 255 Pages
  • December 2022
  • Region: Global
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5723460
The Global Artificial Intelligence In Precision Medicine Market size is expected to reach $6.3 billion by 2028, rising at a market growth of 32.6% CAGR during the forecast period.

Precision medicine, also referred to as 'personalized medicine, ' is a cutting-edge strategy for customizing illness prevention and treatment that considers variations in people's genes, lifestyles, and environments. Targeting the appropriate medications to the appropriate patients at the appropriate times is the aim of precision medicine.



Precision medicine has already produced significant new findings and FDA-approved therapies that are tailored to a person's unique traits, such as their genetic makeup or the genetic profile of their tumor. Molecular testing is frequently administered to patients with different types of cancer as part of patient care, allowing medical professionals to choose therapies that raise survival rates and lower the risk of side effects.

The market for precision medicine is developing due to the increasing R&D expenditures and increased demand for customized drugs. Collaboration amongst important businesses is further propelling the industry's growth.

As an illustration, in August 2022, Sanofi and Atomwise reached an agreement for USD 20 million, and Sanofi planned to utilize Atomwise's AtomNet system for research and computational discovery study on up to five therapeutic targets. The platform incorporates deep learning-based components for the structure-based designing of pharmaceuticals through quick, AI-powered searches of the company's exclusive library of more than three trillion synthesizable complexes.

COVID-19 Impact Analysis

A number of healthcare services, notably precision population health, medicine, chronic illness management, and medical imaging, have been improved because of the applications of AI. The COVID-19 management's usage of artificial intelligence has sped up market growth. For instance, a team from the Johns Hopkins School of Public Health used artificial intelligence to produce a COVID-19 mortality risk calculator. This calculator used artificial intelligence to direct public health campaigns that included preventative tools like N-95 masks. Additionally, AI was used to distribute limited resources and establish treatment priorities for COVID-19 patients. A group of researchers from the General Hospital of the People's Liberation Army in Beijing, China, developed an online triage tool model to manage suspected COVID-19 pneumonia in adult patients.



The leading players in the market are competing with diverse innovative offerings to remain competitive in the market. The below illustration shows the percentage of revenue shared by some of the leading companies in t he market. The leading players of the market are adopting various strategies in order to cater demand coming from the different industries. The key developmental strategies in the market are Partnerships & Collaborations.

Market Growth Factors

Innovations In Cancer Biology Technology

Over the forecast period, the expansion of AI in the market for precision medicine is anticipated to be driven by technical advancements in cancer biologics. Precision medicine has significantly improved as a result of the availability of enormous collections of human genetic databases and AI-based computational tools. Participants in the industry place a strong emphasis on strategic collaboration and partnership efforts to advance research into cancer biology and create a market for precision therapies.

A Global Increase In The Number Of Older People

One of the main causes of the rising occurrence of various diseases and ailments, including high cholesterol, CVDs, high cholesterol, strokes, hypertension, cancer, and aneurysms, is the rapidly expanding senior population worldwide. The aging population is a key predictor of market growth because it is thought that aging is a major factor in the decline of cardiac health. By 2030, one in every six people worldwide will be 60 years of age or older, predicts the WHO. Over the forecast timeframe, this will lead to an increase in the usage of AI-based precision medicines.

Market Restraining Factor

High Costs Associated With Precision Medicines Pose A Major Challenge

For healthcare organizations, the largest obstacle is overcoming budgetary restraints, which is especially difficult in developing as well as under-developed economies, where there is a constant effort to secure resources for information technology rather than medical equipment. The high cost of imaging equipment, as well as the price of implementation and licensing for AI software, are the primary reasons that are constraining market growth, particularly in nations where the reimbursement scenario is not favorable. Hence, this factor is hampering the growth of the market.

Technology Outlook

Based on technology, Artificial Intelligence in Precision Medicine Market is categorized into Context Aware Processing, Deep Learning, Querying Methods, and Natural Language Processing. In 2021, the deep learning market sector held the largest market share. Due to advancements in data center capabilities, powerful processing, and the ability to complete tasks without human interaction, the category is becoming more and more popular. Current deep-learning algorithms are able to combine and model various data from a single patient throughout modalities and time, improving predictions and suggesting the best course of treatment for each patient.



Component Outlook

Based on components, the market is divided into hardware, software, and services. In 2021, the services segment held the substantial revenue share of the market. The high growth of the segment is accountable to the fact that the burden on healthcare practitioners is increasing at a very rapid pace, owing to which they are increasingly outsourcing various services. Despite the challenges of labor shortages and rising imaging scan volumes, AI in medical diagnosis provides health professionals with a competitive advantage over their competitors. This factor is fueling the growth of this segment of AI in the Precision Medicine market.

Application Outlook

Based on application, the Artificial Intelligence in Precision Medicine Market is classified into Oncology, Cardiology, Neurology, Respiratory, and Others. With the largest revenue share in 2021, the oncology sector led the market. The use of AI in oncology facilitates quicker and more precise cancer diagnosis, improving patient outcomes, and is anticipated to drive segment growth throughout the anticipated period. Two key elements that will contribute significantly to the expansion of the oncology segment are the expanding healthcare infrastructure and the rising incidence of cancer.

Regional Outlook

Based on regions, the Artificial Intelligence in Precision Medicine Market is categorized into North America, Europe, Asia Pacific, and LAMEA. In terms of revenue share, North America dominated the worldwide AI in the precision medicine market in 2021. Increased R&D expenditures and rising demand for precision pharmaceuticals are driving the market's expansion in the area. Collaborations between significant companies are further encouraging growth.

The Cardinal Matrix - Artificial Intelligence In Precision Medicine Market Competition Analysis



The major strategies followed by the market participants are Partnerships. Based on the Analysis presented in the Cardinal matrix; Google LLC (Alphabet Inc.) and Microsoft Corporation are the forerunners in the Artificial Intelligence In Precision Medicine Market. Companies such as Intel Corporation, NVIDIA Corporation, Sanofi S.A. are some of the key innovators in Artificial Intelligence In Precision Medicine Market.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include General Electric (GE) Co. (GE Healthcare), Sanofi S.A., NVIDIA Corporation, Intel Corporation, Microsoft Corporation, IBM Corporation, Google LLC (Alphabet Inc.), AstraZeneca PLC, and Tempus, Inc.

Recent Strategies Deployed in Artificial Intelligence In Precision Medicine Market

Partnerships, Collaborations and Agreements:

  • Nov-2022: Google partnered with iCAD, Inc., a mammography artificial intelligence (AI) vendor. The partnership is aimed at improving breast cancer detection and assessment of short-term personal cancer risk. Additionally, the partnership would focus on expanding access to mammography technology through cloud-based solutions.
  • Oct-2022: AstraZeneca joined hands with Illumina, a biotechnology company, engaged in developing, manufactures, and distributes integrated systems for the analysis of genetic variation and biological function. The collaboration is aimed at aligning artificial intelligence development efforts to combines genomic analysis and drug discovery research.
  • Oct-2022: Sanofi joined hands with BioMed X, engaged in performing biomedical research in the fields of oncology, immunology, neuroscience, and platform technologies. The collaboration enables the company to partner with scientists with unique computational skills and diverse capabilities which helps to bring vital treatments to patients with chronic inflammatory diseases.
  • Sep-2022: NVIDIA entered into a partnership with Harvard and MIT's Broad Institute, a biomedical and genomic research center. The partnership is aimed at helping academic researchers and pharma companies to gain AI-enabled computing power to mine large amounts of healthcare data by bringing NVIDIA's computing and artificial intelligence tools to the institute's Terra cloud platform.
  • Aug-2022: Sanofi collaborated with Atomwise, a technology-enabled pharmaceutical company that leverages the power of AI to revolutionize small molecule drug discovery. Through this collaboration, both companies aimed at making the process of drug discovery more efficient and effective when the information available to support drug design is very limited.
  • Apr-2022: GE Healthcare joined hands with Imeka, a neuroimaging company that combines diffusion imaging and AI. The collaboration aimed at allowing researchers to analyze diffusion MRI signals in the brain in greater detail by integrating Imeka’s non-invasive neuroimaging technology into the BrainWave advanced diffusion processing package.
  • Jan-2022: Sanofi teamed up with Exscientia, a global pharma tech company using patient-first artificial intelligence (AI) to discover better drugs, faster. The collaboration is aimed at transforming the process of discovering and developing new small molecule medicines for cancer and immune-mediated diseases.
  • Nov-2021: AstraZeneca teamed up with Tempus, an artificial intelligence, and precision medicine company. With this collaboration, the company aimed at enhancing its understanding of complex tumor biology and increasing the probability of clinical success across its diverse pipeline. Additionally, both companies would work together to gather insights, discover novel drug targets, and develop therapeutics for cancer patients.
  • Oct-2020: NVIDIA formed a partnership with GSK, a global healthcare company, and its AI group, which is applying computation to the drug and vaccine discovery process. By this partnership, both companies aimed at advancing new medicines and vaccine discovery to bring more precision to research and medicine by pushing the boundaries of what AI can do in the medical research field.
  • Aug-2020: AstraZeneca collaborated with Renalytix AI, Artificial intelligence (AI)-enabled in vitro diagnostics company. Through this collaboration, the company aimed at developing meaningful solutions for chronic disease patients and addressing significant challenges in healthcare.

Product Launches and Product Expansions:

  • Oct-2022: GE Healthcare unveiled Omni Legendi, a PET/CT platform's first system. The system includes features a new category of digital BGO (dBGO) detector material that enables small lesion detectability and faster scan time. Through this launch, the company aimed at enhancing diagnostic power and operational efficiency which helps in improving patient outcomes.
  • Sep-2022: GE Healthcare launched Optima IGS 320, an ‘AI-powered’ Cath lab. The product enables clinicians to focus their attention and expertise on patients through Artificial Intelligence that automatically optimizes image and dose parameters in real-time. The launch is aimed at providing intelligent imaging to support cardiologists and patients with customized treatment protocols and therapies.
  • May-2021: GE Healthcare released Xeleris V, a virtual processing and review solution. Xeleris V enables clinicians to have secure access to data from various locations across all their devices by eliminating the need for a standalone nuclear medicine workstation.

Scope of the Study

By Application

  • Oncology
  • Cardiology
  • Neurology
  • Respiratory
  • Others

By Component

  • Software
  • Hardware
  • Service

By Technology

  • Deep Learning
  • Natural Language Processing
  • Querying Method
  • Context Aware Processing

By Geography

  • North America
  • US
  • Canada
  • Mexico
  • Rest of North America
  • Europe
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific
  • LAMEA
  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
  • Rest of LAMEA

Key Market Players

List of Companies Profiled in the Report:

  • General Electric (GE) Co. (GE Healthcare)
  • Sanofi S.A.
  • NVIDIA Corporation
  • Intel Corporation
  • Microsoft Corporation
  • IBM Corporation
  • Google LLC (Alphabet Inc.)
  • AstraZeneca PLC
  • Tempus, Inc.

Unique Offerings

  • Exhaustive coverage
  • The highest number of market tables and figures
  • Subscription-based model available
  • Guaranteed best price
  • Assured post sales research support with 10% customization free

Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Global Artificial Intelligence In Precision Medicine Market, by Application
1.4.2 Global Artificial Intelligence In Precision Medicine Market, by Component
1.4.3 Global Artificial Intelligence In Precision Medicine Market, by Technology
1.4.4 Global Artificial Intelligence In Precision Medicine Market, by Geography
1.5 Methodology for the research

Chapter 2. Market Overview
2.1 Introduction
2.1.1 Overview
2.1.1.1 Market Composition and Scenario
2.2 Key Factors Impacting the Market
2.2.1 Market Drivers
2.2.2 Market Restraints

Chapter 3. Competition Analysis - Global
3.1 Cardinal Matrix
3.2 Recent Industry Wide Strategic Developments
3.2.1 Partnerships, Collaborations and Agreements
3.2.2 Product Launches and Product Expansions
3.3 Market Share Analysis, 2021
3.4 Top Winning Strategies
3.4.1 Key Leading Strategies: Percentage Distribution (2018-2022)
3.4.2 Key Strategic Move: (Partnerships, Collaborations and Agreements: 2019, Jan - 2022, Nov) Leading Players

Chapter 4. Global Artificial Intelligence In Precision Medicine Market by Application
4.1 Global Oncology Market by Region
4.2 Global Cardiology Market by Region
4.3 Global Neurology Market by Region
4.4 Global Respiratory Market by Region
4.5 Global Others Market by Region

Chapter 5. Global Artificial Intelligence In Precision Medicine Market by Component
5.1 Global Software Market by Region
5.2 Global Hardware Market by Region
5.3 Global Service Market by Region

Chapter 6. Global Artificial Intelligence In Precision Medicine Market by Technology
6.1 Global Deep Learning Market by Region
6.2 Global Natural Language Processing Market by Region
6.3 Global Querying Method Market by Region
6.4 Global Context Aware Processing Market by Region

Chapter 7. Global Artificial Intelligence In Precision Medicine Market by Region
7.1 North America Artificial Intelligence in Precision Medicine Market
7.1.1 North America Artificial Intelligence in Precision Medicine Market by Application
7.1.1.1 North America Oncology Market by Country
7.1.1.2 North America Cardiology Market by Country
7.1.1.3 North America Neurology Market by Country
7.1.1.4 North America Respiratory Market by Country
7.1.1.5 North America Others Market by Country
7.1.2 North America Artificial Intelligence in Precision Medicine Market by Component
7.1.2.1 North America Software Market by Country
7.1.2.2 North America Hardware Market by Country
7.1.2.3 North America Service Market by Country
7.1.3 North America Artificial Intelligence in Precision Medicine Market by Technology
7.1.3.1 North America Deep Learning Market by Country
7.1.3.2 North America Natural Language Processing Market by Country
7.1.3.3 North America Querying Method Market by Country
7.1.3.4 North America Context Aware Processing Market by Country
7.1.4 North America Artificial Intelligence in Precision Medicine Market by Country
7.1.4.1 US Artificial Intelligence in Precision Medicine Market
7.1.4.1.1 US Artificial Intelligence in Precision Medicine Market by Application
7.1.4.1.2 US Artificial Intelligence in Precision Medicine Market by Component
7.1.4.1.3 US Artificial Intelligence in Precision Medicine Market by Technology
7.1.4.2 Canada Artificial Intelligence in Precision Medicine Market
7.1.4.2.1 Canada Artificial Intelligence in Precision Medicine Market by Application
7.1.4.2.2 Canada Artificial Intelligence in Precision Medicine Market by Component
7.1.4.2.3 Canada Artificial Intelligence in Precision Medicine Market by Technology
7.1.4.3 Mexico Artificial Intelligence in Precision Medicine Market
7.1.4.3.1 Mexico Artificial Intelligence in Precision Medicine Market by Application
7.1.4.3.2 Mexico Artificial Intelligence in Precision Medicine Market by Component
7.1.4.3.3 Mexico Artificial Intelligence in Precision Medicine Market by Technology
7.1.4.4 Rest of North America Artificial Intelligence in Precision Medicine Market
7.1.4.4.1 Rest of North America Artificial Intelligence in Precision Medicine Market by Application
7.1.4.4.2 Rest of North America Artificial Intelligence in Precision Medicine Market by Component
7.1.4.4.3 Rest of North America Artificial Intelligence in Precision Medicine Market by Technology
7.2 Europe Artificial Intelligence in Precision Medicine Market
7.2.1 Europe Artificial Intelligence in Precision Medicine Market by Application
7.2.1.1 Europe Oncology Market by Country
7.2.1.2 Europe Cardiology Market by Country
7.2.1.3 Europe Neurology Market by Country
7.2.1.4 Europe Respiratory Market by Country
7.2.1.5 Europe Others Market by Country
7.2.2 Europe Artificial Intelligence in Precision Medicine Market by Component
7.2.2.1 Europe Software Market by Country
7.2.2.2 Europe Hardware Market by Country
7.2.2.3 Europe Service Market by Country
7.2.3 Europe Artificial Intelligence in Precision Medicine Market by Technology
7.2.3.1 Europe Deep Learning Market by Country
7.2.3.2 Europe Natural Language Processing Market by Country
7.2.3.3 Europe Querying Method Market by Country
7.2.3.4 Europe Context Aware Processing Market by Country
7.2.4 Europe Artificial Intelligence in Precision Medicine Market by Country
7.2.4.1 Germany Artificial Intelligence in Precision Medicine Market
7.2.4.1.1 Germany Artificial Intelligence in Precision Medicine Market by Application
7.2.4.1.2 Germany Artificial Intelligence in Precision Medicine Market by Component
7.2.4.1.3 Germany Artificial Intelligence in Precision Medicine Market by Technology
7.2.4.2 UK Artificial Intelligence in Precision Medicine Market
7.2.4.2.1 UK Artificial Intelligence in Precision Medicine Market by Application
7.2.4.2.2 UK Artificial Intelligence in Precision Medicine Market by Component
7.2.4.2.3 UK Artificial Intelligence in Precision Medicine Market by Technology
7.2.4.3 France Artificial Intelligence in Precision Medicine Market
7.2.4.3.1 France Artificial Intelligence in Precision Medicine Market by Application
7.2.4.3.2 France Artificial Intelligence in Precision Medicine Market by Component
7.2.4.3.3 France Artificial Intelligence in Precision Medicine Market by Technology
7.2.4.4 Russia Artificial Intelligence in Precision Medicine Market
7.2.4.4.1 Russia Artificial Intelligence in Precision Medicine Market by Application
7.2.4.4.2 Russia Artificial Intelligence in Precision Medicine Market by Component
7.2.4.4.3 Russia Artificial Intelligence in Precision Medicine Market by Technology
7.2.4.5 Spain Artificial Intelligence in Precision Medicine Market
7.2.4.5.1 Spain Artificial Intelligence in Precision Medicine Market by Application
7.2.4.5.2 Spain Artificial Intelligence in Precision Medicine Market by Component
7.2.4.5.3 Spain Artificial Intelligence in Precision Medicine Market by Technology
7.2.4.6 Italy Artificial Intelligence in Precision Medicine Market
7.2.4.6.1 Italy Artificial Intelligence in Precision Medicine Market by Application
7.2.4.6.2 Italy Artificial Intelligence in Precision Medicine Market by Component
7.2.4.6.3 Italy Artificial Intelligence in Precision Medicine Market by Technology
7.2.4.7 Rest of Europe Artificial Intelligence in Precision Medicine Market
7.2.4.7.1 Rest of Europe Artificial Intelligence in Precision Medicine Market by Application
7.2.4.7.2 Rest of Europe Artificial Intelligence in Precision Medicine Market by Component
7.2.4.7.3 Rest of Europe Artificial Intelligence in Precision Medicine Market by Technology
7.3 Asia Pacific Artificial Intelligence in Precision Medicine Market
7.3.1 Asia Pacific Artificial Intelligence in Precision Medicine Market by Application
7.3.1.1 Asia Pacific Oncology Market by Country
7.3.1.2 Asia Pacific Cardiology Market by Country
7.3.1.3 Asia Pacific Neurology Market by Country
7.3.1.4 Asia Pacific Respiratory Market by Country
7.3.1.5 Asia Pacific Others Market by Country
7.3.2 Asia Pacific Artificial Intelligence in Precision Medicine Market by Component
7.3.2.1 Asia Pacific Software Market by Country
7.3.2.2 Asia Pacific Hardware Market by Country
7.3.2.3 Asia Pacific Service Market by Country
7.3.3 Asia Pacific Artificial Intelligence in Precision Medicine Market by Technology
7.3.3.1 Asia Pacific Deep Learning Market by Country
7.3.3.2 Asia Pacific Natural Language Processing Market by Country
7.3.3.3 Asia Pacific Querying Method Market by Country
7.3.3.4 Asia Pacific Context Aware Processing Market by Country
7.3.4 Asia Pacific Artificial Intelligence in Precision Medicine Market by Country
7.3.4.1 China Artificial Intelligence in Precision Medicine Market
7.3.4.1.1 China Artificial Intelligence in Precision Medicine Market by Application
7.3.4.1.2 China Artificial Intelligence in Precision Medicine Market by Component
7.3.4.1.3 China Artificial Intelligence in Precision Medicine Market by Technology
7.3.4.2 Japan Artificial Intelligence in Precision Medicine Market
7.3.4.2.1 Japan Artificial Intelligence in Precision Medicine Market by Application
7.3.4.2.2 Japan Artificial Intelligence in Precision Medicine Market by Component
7.3.4.2.3 Japan Artificial Intelligence in Precision Medicine Market by Technology
7.3.4.3 India Artificial Intelligence in Precision Medicine Market
7.3.4.3.1 India Artificial Intelligence in Precision Medicine Market by Application
7.3.4.3.2 India Artificial Intelligence in Precision Medicine Market by Component
7.3.4.3.3 India Artificial Intelligence in Precision Medicine Market by Technology
7.3.4.4 South Korea Artificial Intelligence in Precision Medicine Market
7.3.4.4.1 South Korea Artificial Intelligence in Precision Medicine Market by Application
7.3.4.4.2 South Korea Artificial Intelligence in Precision Medicine Market by Component
7.3.4.4.3 South Korea Artificial Intelligence in Precision Medicine Market by Technology
7.3.4.5 Singapore Artificial Intelligence in Precision Medicine Market
7.3.4.5.1 Singapore Artificial Intelligence in Precision Medicine Market by Application
7.3.4.5.2 Singapore Artificial Intelligence in Precision Medicine Market by Component
7.3.4.5.3 Singapore Artificial Intelligence in Precision Medicine Market by Technology
7.3.4.6 Malaysia Artificial Intelligence in Precision Medicine Market
7.3.4.6.1 Malaysia Artificial Intelligence in Precision Medicine Market by Application
7.3.4.6.2 Malaysia Artificial Intelligence in Precision Medicine Market by Component
7.3.4.6.3 Malaysia Artificial Intelligence in Precision Medicine Market by Technology
7.3.4.7 Rest of Asia Pacific Artificial Intelligence in Precision Medicine Market
7.3.4.7.1 Rest of Asia Pacific Artificial Intelligence in Precision Medicine Market by Application
7.3.4.7.2 Rest of Asia Pacific Artificial Intelligence in Precision Medicine Market by Component
7.3.4.7.3 Rest of Asia Pacific Artificial Intelligence in Precision Medicine Market by Technology
7.4 LAMEA Artificial Intelligence in Precision Medicine Market
7.4.1 LAMEA Artificial Intelligence in Precision Medicine Market by Application
7.4.1.1 LAMEA Oncology Market by Country
7.4.1.2 LAMEA Cardiology Market by Country
7.4.1.3 LAMEA Neurology Market by Country
7.4.1.4 LAMEA Respiratory Market by Country
7.4.1.5 LAMEA Others Market by Country
7.4.2 LAMEA Artificial Intelligence in Precision Medicine Market by Component
7.4.2.1 LAMEA Software Market by Country
7.4.2.2 LAMEA Hardware Market by Country
7.4.2.3 LAMEA Service Market by Country
7.4.3 LAMEA Artificial Intelligence in Precision Medicine Market by Technology
7.4.3.1 LAMEA Deep Learning Market by Country
7.4.3.2 LAMEA Natural Language Processing Market by Country
7.4.3.3 LAMEA Querying Method Market by Country
7.4.3.4 LAMEA Context Aware Processing Market by Country
7.4.4 LAMEA Artificial Intelligence in Precision Medicine Market by Country
7.4.4.1 Brazil Artificial Intelligence In Precision Medicine Market
7.4.4.1.1 Brazil Artificial Intelligence In Precision Medicine Market by Application
7.4.4.1.2 Brazil Artificial Intelligence In Precision Medicine Market by Component
7.4.4.1.3 Brazil Artificial Intelligence In Precision Medicine Market by Technology
7.4.4.2 Argentina Artificial Intelligence in Precision Medicine Market
7.4.4.2.1 Argentina Artificial Intelligence in Precision Medicine Market by Application
7.4.4.2.2 Argentina Artificial Intelligence in Precision Medicine Market by Component
7.4.4.2.3 Argentina Artificial Intelligence in Precision Medicine Market by Technology
7.4.4.3 UAE Artificial Intelligence in Precision Medicine Market
7.4.4.3.1 UAE Artificial Intelligence in Precision Medicine Market by Application
7.4.4.3.2 UAE Artificial Intelligence in Precision Medicine Market by Component
7.4.4.3.3 UAE Artificial Intelligence in Precision Medicine Market by Technology
7.4.4.4 Saudi Arabia Artificial Intelligence in Precision Medicine Market
7.4.4.4.1 Saudi Arabia Artificial Intelligence in Precision Medicine Market by Application
7.4.4.4.2 Saudi Arabia Artificial Intelligence in Precision Medicine Market by Component
7.4.4.4.3 Saudi Arabia Artificial Intelligence in Precision Medicine Market by Technology
7.4.4.5 South Africa Artificial Intelligence in Precision Medicine Market
7.4.4.5.1 South Africa Artificial Intelligence in Precision Medicine Market by Application
7.4.4.5.2 South Africa Artificial Intelligence in Precision Medicine Market by Component
7.4.4.5.3 South Africa Artificial Intelligence in Precision Medicine Market by Technology
7.4.4.6 Nigeria Artificial Intelligence in Precision Medicine Market
7.4.4.6.1 Nigeria Artificial Intelligence in Precision Medicine Market by Application
7.4.4.6.2 Nigeria Artificial Intelligence in Precision Medicine Market by Component
7.4.4.6.3 Nigeria Artificial Intelligence in Precision Medicine Market by Technology
7.4.4.7 Rest of LAMEA Artificial Intelligence in Precision Medicine Market
7.4.4.7.1 Rest of LAMEA Artificial Intelligence in Precision Medicine Market by Application
7.4.4.7.2 Rest of LAMEA Artificial Intelligence in Precision Medicine Market by Component
7.4.4.7.3 Rest of LAMEA Artificial Intelligence in Precision Medicine Market by Technology

Chapter 8. Company Profiles
8.1 General Electric (GE) Co. (GE Healthcare)
8.1.1 Company Overview
8.1.2 Financial Analysis
8.1.3 Segmental and Regional Analysis
8.1.4 Research & Development Expense
8.1.5 Recent strategies and developments:
8.1.5.1 Partnerships, Collaborations, and Agreements:
8.1.5.2 Product Launches and Product Expansions:
8.1.6 SWOT Analysis
8.2 Google LLC (Alphabet Inc.)
8.2.1 Company Overview
8.2.2 Financial Analysis
8.2.3 Segmental and Regional Analysis
8.2.4 Research & Development Expense
8.2.5 Recent strategies and developments:
8.2.5.1 Partnerships, Collaborations, and Agreements:
8.2.6 SWOT Analysis
8.3 Intel Corporation
8.3.1 Company Overview
8.3.2 Financial Analysis
8.3.3 Segmental and Regional Analysis
8.3.4 Research & Development Expenses
8.3.5 SWOT Analysis
8.4 Microsoft Corporation
8.4.1 Company Overview
8.4.2 Financial Analysis
8.4.3 Segmental and Regional Analysis
8.4.4 Research & Development Expenses
8.4.5 SWOT Analysis
8.5 IBM Corporation
8.5.1 Company Overview
8.5.2 Financial Analysis
8.5.3 Regional & Segmental Analysis
8.5.4 Research & Development Expenses
8.5.5 SWOT Analysis
8.6 NVIDIA Corporation
8.6.1 Company Overview
8.6.2 Financial Analysis
8.6.3 Segmental and Regional Analysis
8.6.4 Research & Development Expense
8.6.5 Recent strategies and developments:
8.6.5.1 Partnerships, Collaborations, and Agreements:
8.6.6 SWOT Analysis
8.7 AstraZeneca PLC
8.7.1 Company Overview
8.7.2 Financial Analysis
8.7.3 Regional Analysis
8.7.4 Research & Development Expenses
8.7.5 Recent strategies and developments:
8.7.5.1 Partnerships, Collaborations, and Agreements:
8.8 Sanofi S.A.
8.8.1 Company Overview
8.8.2 Financial Analysis
8.8.3 Segmental and Regional Analysis
8.8.4 Research & Development Expense
8.8.5 Recent strategies and developments:
8.8.5.1 Partnerships, Collaborations, and Agreements:
8.9 Tempus, Inc.
8.9.1 Company Overview

Companies Mentioned

  • General Electric (GE) Co. (GE Healthcare)
  • Sanofi S.A.
  • NVIDIA Corporation
  • Intel Corporation
  • Microsoft Corporation
  • IBM Corporation
  • Google LLC (Alphabet Inc.)
  • AstraZeneca PLC
  • Tempus, Inc.

Methodology

Loading
LOADING...