Asia Pacific Machine Learning in Pharmaceutical Industry Market Size, Share & Industry Trends Analysis Report By Component, By Deployment Mode, By Organization size, By Country and Growth Forecast, 2023

List of Tables

The Asia Pacific Machine Learning in Pharmaceutical Industry Market would witness market growth of 35.7% CAGR during the forecast period (2023-2029).

The pharmaceutical sector is using machine learning more and more to evaluate healthcare data for a range of purposes, such as drug development, clinical trials, and personalized treatment. Clinical trials, electronic health records, and medical claims are just a few sources of the enormous data the pharmaceutical industry produces. Machine learning can be used to anticipate potential safety issues and identify negative drug interactions before they happen. In addition, machine learning algorithms can find patterns in vast amounts of data from social media, electronic health records, and other sources that may not be obvious to human analysts.

Over the following years, there will be an increase in applications for micro biosensors and equipment, as well as mobile apps with more advanced health measurement and remote monitoring capabilities, which will result in an additional flood of data that can be used to support R&D and treatment efficacy. In addition to optimizing an individual's health, this kind of tailored care also has significant financial benefits for the healthcare system as a whole. For instance, healthcare expenses will decrease if more patients follow their doctors' orders and adhere to treatment regimens.

Japan is using more data and ICT in the health, medical, and nursing care industries so that every citizen can get help with their health. According to Japan's Ministry of Health and Welfare, the eHealth industry is growing because more doctors are using the internet, and more people are looking up basic information about hospitals online before going there. The adoption of machine learning in the pharmaceutical industry is expected to increase due to the digitalization of healthcare, which aims to provide healthcare facilities to all. This trend is driven by various factors, including the need to reduce healthcare costs, and is expected to create growth opportunities for the market in the region.

The China market dominated the Asia Pacific Machine Learning in Pharmaceutical Industry Market by Country in 2022, and would continue to be a dominant market till 2029; thereby, achieving a market value of $839.2 million by 2029. The Japan market is estimated to grow a CAGR of 34.9% during (2023 - 2029). Additionally, The India market would experience a CAGR of 36.5% during (2023 - 2029).

Based on Component, the market is segmented into Solution and Services. Based on Deployment Mode, the market is segmented into Cloud and On-premise. Based on Organization size, the market is segmented into Large Enterprises and SMEs. Based on countries, the market is segmented into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Google LLC (Alphabet, Inc.), NVIDIA Corporation, IBM Corporation, Microsoft Corporation, Cyclica, Inc., BioSymetrics Inc., Cloud Pharmaceuticals, Inc., Deep Genomics Incorporated and Atomwise, Inc.

Scope of the Study

Market Segments covered in the Report:

By Component

Solution
Services

By Deployment Mode

Cloud
On-premise

By Organization size

Large Enterprises
SMEs

By Country

China
Japan
India
South Korea
Singapore
Malaysia
Rest of Asia Pacific

Companies Profiled

Google LLC (Alphabet, Inc.)
NVIDIA Corporation
IBM Corporation
Microsoft Corporation
Cyclica, Inc.
BioSymetrics Inc.
Cloud Pharmaceuticals, Inc.
Deep Genomics Incorporated
Atomwise, Inc.

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Chapter 1. Market Scope & Methodology

1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
- 1.4.1 Asia Pacific Machine Learning in Pharmaceutical Industry Market, by Component
- 1.4.2 Asia Pacific Machine Learning in Pharmaceutical Industry Market, by Deployment Mode
- 1.4.3 Asia Pacific Machine Learning in Pharmaceutical Industry Market, by Organization size
- 1.4.4 Asia Pacific Machine Learning in Pharmaceutical Industry Market, by Country
1.5 Methodology for the research

Chapter 2. Market Overview

2.1 Introduction
- 2.1.1 Overview
  - 2.1.1.1 Market composition & 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 KBV Cardinal Matrix
3.2 Recent Industry Wide Strategic Developments
- 3.2.1 Partnerships, Collaborations and Agreements
- 3.2.2 Product Launches and Product Expansions
- 3.2.3 Acquisition and Mergers
3.3 Top Winning Strategies
- 3.3.1 Key Leading Strategies: Percentage Distribution (2019-2023)
- 3.3.2 Key Strategic Move: (Partnerships, Collaborations and Agreements : 2019, Sep - 2023, Mar) Leading Players

Chapter 4. Asia Pacific Machine Learning in Pharmaceutical Industry Market by Component

4.1 Asia Pacific Solution Market by Country
4.2 Asia Pacific Services Market by Country

Chapter 5. Asia Pacific Machine Learning in Pharmaceutical Industry Market by Deployment Mode

5.1 Asia Pacific Cloud Market by Country
5.2 Asia Pacific On premise Market by Country

Chapter 6. Asia Pacific Machine Learning in Pharmaceutical Industry Market by Organization size

6.1 Asia Pacific Large Enterprises Market by Country
6.2 Asia Pacific SMEs Market by Country

Chapter 7. Asia Pacific Machine Learning in Pharmaceutical Industry Market by Country

7.1 China Machine Learning in Pharmaceutical Industry Market
- 7.1.1 China Machine Learning in Pharmaceutical Industry Market by Component
- 7.1.2 China Machine Learning in Pharmaceutical Industry Market by Deployment Mode
- 7.1.3 China Machine Learning in Pharmaceutical Industry Market by Organization size
7.2 Japan Machine Learning in Pharmaceutical Industry Market
- 7.2.1 Japan Machine Learning in Pharmaceutical Industry Market by Component
- 7.2.2 Japan Machine Learning in Pharmaceutical Industry Market by Deployment Mode
- 7.2.3 Japan Machine Learning in Pharmaceutical Industry Market by Organization size
7.3 India Machine Learning in Pharmaceutical Industry Market
- 7.3.1 India Machine Learning in Pharmaceutical Industry Market by Component
- 7.3.2 India Machine Learning in Pharmaceutical Industry Market by Deployment Mode
- 7.3.3 India Machine Learning in Pharmaceutical Industry Market by Organization size
7.4 South Korea Machine Learning in Pharmaceutical Industry Market
- 7.4.1 South Korea Machine Learning in Pharmaceutical Industry Market by Component
- 7.4.2 South Korea Machine Learning in Pharmaceutical Industry Market by Deployment Mode
- 7.4.3 South Korea Machine Learning in Pharmaceutical Industry Market by Organization size
7.5 Singapore Machine Learning in Pharmaceutical Industry Market
- 7.5.1 Singapore Machine Learning in Pharmaceutical Industry Market by Component
- 7.5.2 Singapore Machine Learning in Pharmaceutical Industry Market by Deployment Mode
- 7.5.3 Singapore Machine Learning in Pharmaceutical Industry Market by Organization size
7.6 Malaysia Machine Learning in Pharmaceutical Industry Market
- 7.6.1 Malaysia Machine Learning in Pharmaceutical Industry Market by Component
- 7.6.2 Malaysia Machine Learning in Pharmaceutical Industry Market by Deployment Mode
- 7.6.3 Malaysia Machine Learning in Pharmaceutical Industry Market by Organization size
7.7 Rest of Asia Pacific Machine Learning in Pharmaceutical Industry Market
- 7.7.1 Rest of Asia Pacific Machine Learning in Pharmaceutical Industry Market by Component
- 7.7.2 Rest of Asia Pacific Machine Learning in Pharmaceutical Industry Market by Deployment Mode
- 7.7.3 Rest of Asia Pacific Machine Learning in Pharmaceutical Industry Market by Organization size

Chapter 8. Company Profiles

8.1 NVIDIA Corporation
- 8.1.1 Company Overview
- 8.1.2 Financial Analysis
- 8.1.3 Segmental and Regional Analysis
- 8.1.4 Research & Development Expenses
- 8.1.5 Recent strategies and developments:
  - 8.1.5.1 Partnerships, Collaborations, and Agreements:
  - 8.1.5.2 Acquisition and Mergers:
- 8.1.6 SWOT Analysis
8.2 IBM Corporation
- 8.2.1 Company Overview
- 8.2.2 Financial Analysis
- 8.2.3 Regional & Segmental Analysis
- 8.2.4 Research & Development Expenses
- 8.2.5 Recent strategies and developments:
  - 8.2.5.1 Partnerships, Collaborations, and Agreements:
  - 8.2.5.2 Acquisition and Mergers:
- 8.2.6 SWOT Analysis
8.3 Microsoft 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 Recent strategies and developments:
  - 8.3.5.1 Partnerships, Collaborations, and Agreements:
  - 8.3.5.2 Product Launches and Product Expansions:
- 8.3.6 SWOT Analysis
8.4 Google LLC (Alphabet, Inc.)
- 8.4.1 Company Overview
- 8.4.2 Financial Analysis
- 8.4.3 Segmental and Regional Analysis
- 8.4.4 Research & Development Expense
- 8.4.5 Recent strategies and developments:
  - 8.4.5.1 Product Launches and Product Expansions:
- 8.4.6 SWOT Analysis
8.5 Cyclica, Inc.
- 8.5.1 Company Overview
- 8.5.2 Recent strategies and developments:
  - 8.5.2.1 Partnerships, Collaborations, and Agreements:
  - 8.5.2.2 Product Launches and Product Expansions:
8.6 BioSymetrics, Inc.
- 8.6.1 Company Overview
- 8.6.2 Recent strategies and developments:
  - 8.6.2.1 Partnerships, Collaborations, and Agreements:
  - 8.6.2.2 Product Launches and Product Expansions:
8.7 Deep Genomics Incorporated
- 8.7.1 Company Overview
- 8.7.2 Recent strategies and developments:
  - 8.7.2.1 Partnerships, Collaborations, and Agreements:
8.8 Atomwise, Inc.
- 8.8.1 Company Overview
- 8.8.2 Recent strategies and developments:
  - 8.8.2.1 Partnerships, Collaborations, and Agreements:
8.9 Cloud Pharmaceuticals, Inc.
- 8.9.1 Company Overview

LIST OF TABLES

TABLE 1 Asia Pacific Machine Learning in Pharmaceutical Industry Market, 2019 - 2022, USD Million
TABLE 2 Asia Pacific Machine Learning in Pharmaceutical Industry Market, 2023 - 2029, USD Million
TABLE 3 Partnerships, Collaborations and Agreements- Machine Learning in Pharmaceutical Industry Market
TABLE 4 Product Launches And Product Expansions- Machine Learning in Pharmaceutical Industry Market
TABLE 5 Acquisition and Mergers- Machine Learning in Pharmaceutical Industry Market
TABLE 6 Asia Pacific Machine Learning in Pharmaceutical Industry Market by Component, 2019 - 2022, USD Million
TABLE 7 Asia Pacific Machine Learning in Pharmaceutical Industry Market by Component, 2023 - 2029, USD Million
TABLE 8 Asia Pacific Solution Market by Country, 2019 - 2022, USD Million
TABLE 9 Asia Pacific Solution Market by Country, 2023 - 2029, USD Million
TABLE 10 Asia Pacific Services Market by Country, 2019 - 2022, USD Million
TABLE 11 Asia Pacific Services Market by Country, 2023 - 2029, USD Million
TABLE 12 Asia Pacific Machine Learning in Pharmaceutical Industry Market by Deployment Mode, 2019 - 2022, USD Million
TABLE 13 Asia Pacific Machine Learning in Pharmaceutical Industry Market by Deployment Mode, 2023 - 2029, USD Million
TABLE 14 Asia Pacific Cloud Market by Country, 2019 - 2022, USD Million
TABLE 15 Asia Pacific Cloud Market by Country, 2023 - 2029, USD Million
TABLE 16 Asia Pacific On premise Market by Country, 2019 - 2022, USD Million
TABLE 17 Asia Pacific On premise Market by Country, 2023 - 2029, USD Million
TABLE 18 Asia Pacific Machine Learning in Pharmaceutical Industry Market by Organization size, 2019 - 2022, USD Million
TABLE 19 Asia Pacific Machine Learning in Pharmaceutical Industry Market by Organization size, 2023 - 2029, USD Million
TABLE 20 Asia Pacific Large Enterprises Market by Country, 2019 - 2022, USD Million
TABLE 21 Asia Pacific Large Enterprises Market by Country, 2023 - 2029, USD Million
TABLE 22 Asia Pacific SMEs Market by Country, 2019 - 2022, USD Million
TABLE 23 Asia Pacific SMEs Market by Country, 2023 - 2029, USD Million
TABLE 24 Asia Pacific Machine Learning in Pharmaceutical Industry Market by Country, 2019 - 2022, USD Million
TABLE 25 Asia Pacific Machine Learning in Pharmaceutical Industry Market by Country, 2023 - 2029, USD Million
TABLE 26 China Machine Learning in Pharmaceutical Industry Market, 2019 - 2022, USD Million
TABLE 27 China Machine Learning in Pharmaceutical Industry Market, 2023 - 2029, USD Million
TABLE 28 China Machine Learning in Pharmaceutical Industry Market by Component, 2019 - 2022, USD Million
TABLE 29 China Machine Learning in Pharmaceutical Industry Market by Component, 2023 - 2029, USD Million
TABLE 30 China Machine Learning in Pharmaceutical Industry Market by Deployment Mode, 2019 - 2022, USD Million
TABLE 31 China Machine Learning in Pharmaceutical Industry Market by Deployment Mode, 2023 - 2029, USD Million
TABLE 32 China Machine Learning in Pharmaceutical Industry Market by Organization size, 2019 - 2022, USD Million
TABLE 33 China Machine Learning in Pharmaceutical Industry Market by Organization size, 2023 - 2029, USD Million
TABLE 34 Japan Machine Learning in Pharmaceutical Industry Market, 2019 - 2022, USD Million
TABLE 35 Japan Machine Learning in Pharmaceutical Industry Market, 2023 - 2029, USD Million
TABLE 36 Japan Machine Learning in Pharmaceutical Industry Market by Component, 2019 - 2022, USD Million
TABLE 37 Japan Machine Learning in Pharmaceutical Industry Market by Component, 2023 - 2029, USD Million
TABLE 38 Japan Machine Learning in Pharmaceutical Industry Market by Deployment Mode, 2019 - 2022, USD Million
TABLE 39 Japan Machine Learning in Pharmaceutical Industry Market by Deployment Mode, 2023 - 2029, USD Million
TABLE 40 Japan Machine Learning in Pharmaceutical Industry Market by Organization size, 2019 - 2022, USD Million
TABLE 41 Japan Machine Learning in Pharmaceutical Industry Market by Organization size, 2023 - 2029, USD Million
TABLE 42 India Machine Learning in Pharmaceutical Industry Market, 2019 - 2022, USD Million
TABLE 43 India Machine Learning in Pharmaceutical Industry Market, 2023 - 2029, USD Million
TABLE 44 India Machine Learning in Pharmaceutical Industry Market by Component, 2019 - 2022, USD Million
TABLE 45 India Machine Learning in Pharmaceutical Industry Market by Component, 2023 - 2029, USD Million
TABLE 46 India Machine Learning in Pharmaceutical Industry Market by Deployment Mode, 2019 - 2022, USD Million
TABLE 47 India Machine Learning in Pharmaceutical Industry Market by Deployment Mode, 2023 - 2029, USD Million
TABLE 48 India Machine Learning in Pharmaceutical Industry Market by Organization size, 2019 - 2022, USD Million
TABLE 49 India Machine Learning in Pharmaceutical Industry Market by Organization size, 2023 - 2029, USD Million
TABLE 50 South Korea Machine Learning in Pharmaceutical Industry Market, 2019 - 2022, USD Million
TABLE 51 South Korea Machine Learning in Pharmaceutical Industry Market, 2023 - 2029, USD Million
TABLE 52 South Korea Machine Learning in Pharmaceutical Industry Market by Component, 2019 - 2022, USD Million
TABLE 53 South Korea Machine Learning in Pharmaceutical Industry Market by Component, 2023 - 2029, USD Million
TABLE 54 South Korea Machine Learning in Pharmaceutical Industry Market by Deployment Mode, 2019 - 2022, USD Million
TABLE 55 South Korea Machine Learning in Pharmaceutical Industry Market by Deployment Mode, 2023 - 2029, USD Million
TABLE 56 South Korea Machine Learning in Pharmaceutical Industry Market by Organization size, 2019 - 2022, USD Million
TABLE 57 South Korea Machine Learning in Pharmaceutical Industry Market by Organization size, 2023 - 2029, USD Million
TABLE 58 Singapore Machine Learning in Pharmaceutical Industry Market, 2019 - 2022, USD Million
TABLE 59 Singapore Machine Learning in Pharmaceutical Industry Market, 2023 - 2029, USD Million
TABLE 60 Singapore Machine Learning in Pharmaceutical Industry Market by Component, 2019 - 2022, USD Million
TABLE 61 Singapore Machine Learning in Pharmaceutical Industry Market by Component, 2023 - 2029, USD Million
TABLE 62 Singapore Machine Learning in Pharmaceutical Industry Market by Deployment Mode, 2019 - 2022, USD Million
TABLE 63 Singapore Machine Learning in Pharmaceutical Industry Market by Deployment Mode, 2023 - 2029, USD Million
TABLE 64 Singapore Machine Learning in Pharmaceutical Industry Market by Organization size, 2019 - 2022, USD Million
TABLE 65 Singapore Machine Learning in Pharmaceutical Industry Market by Organization size, 2023 - 2029, USD Million
TABLE 66 Malaysia Machine Learning in Pharmaceutical Industry Market, 2019 - 2022, USD Million
TABLE 67 Malaysia Machine Learning in Pharmaceutical Industry Market, 2023 - 2029, USD Million
TABLE 68 Malaysia Machine Learning in Pharmaceutical Industry Market by Component, 2019 - 2022, USD Million
TABLE 69 Malaysia Machine Learning in Pharmaceutical Industry Market by Component, 2023 - 2029, USD Million
TABLE 70 Malaysia Machine Learning in Pharmaceutical Industry Market by Deployment Mode, 2019 - 2022, USD Million
TABLE 71 Malaysia Machine Learning in Pharmaceutical Industry Market by Deployment Mode, 2023 - 2029, USD Million
TABLE 72 Malaysia Machine Learning in Pharmaceutical Industry Market by Organization size, 2019 - 2022, USD Million
TABLE 73 Malaysia Machine Learning in Pharmaceutical Industry Market by Organization size, 2023 - 2029, USD Million
TABLE 74 Rest of Asia Pacific Machine Learning in Pharmaceutical Industry Market, 2019 - 2022, USD Million
TABLE 75 Rest of Asia Pacific Machine Learning in Pharmaceutical Industry Market, 2023 - 2029, USD Million
TABLE 76 Rest of Asia Pacific Machine Learning in Pharmaceutical Industry Market by Component, 2019 - 2022, USD Million
TABLE 77 Rest of Asia Pacific Machine Learning in Pharmaceutical Industry Market by Component, 2023 - 2029, USD Million
TABLE 78 Rest of Asia Pacific Machine Learning in Pharmaceutical Industry Market by Deployment Mode, 2019 - 2022, USD Million
TABLE 79 Rest of Asia Pacific Machine Learning in Pharmaceutical Industry Market by Deployment Mode, 2023 - 2029, USD Million
TABLE 80 Rest of Asia Pacific Machine Learning in Pharmaceutical Industry Market by Organization size, 2019 - 2022, USD Million
TABLE 81 Rest of Asia Pacific Machine Learning in Pharmaceutical Industry Market by Organization size, 2023 - 2029, USD Million
TABLE 82 Key Information - NVIDIA Corporation
TABLE 83 Key information - IBM Corporation
TABLE 84 key information - Microsoft Corporation
TABLE 85 Key Information - Google LLC
TABLE 86 Key Information - Cyclica, Inc.
TABLE 87 Key Information - BioSymetrics, Inc.
TABLE 88 Key Information - Deep Genomics Incorporated
TABLE 89 Key Information - Atomwise, Inc.
TABLE 90 Key Information - Cloud Pharmaceuticals, Inc.

List of Figures

FIG 1 Methodology for the research
FIG 2 KBV Cardinal Matrix
FIG 3 Key Leading Strategies: Percentage Distribution (2019-2023)
FIG 4 Key Strategic Move: (Partnerships, Collaborations and Agreements : 2019, Sep - 2023, Mar) Leading Players
FIG 5 Recent strategies and developments: NVIDIA Corporation
FIG 6 SWOT Analysis: NVIDIA Corporation
FIG 7 Recent strategies and developments: IBM Corporation
FIG 8 Swot analysis: IBM Corporation
FIG 9 SWOT Analysis: Microsoft Corporation
FIG 10 SWOT Analysis: Alphabet Inc. (Google LLC)
FIG 11 Recent strategies and developments: Cyclica, Inc.
FIG 12 Recent strategies and developments: BioSymetrics, Inc.

Asia Pacific Machine Learning in Pharmaceutical Industry Market Size, Share & Industry Trends Analysis Report By Component, By Deployment Mode, By Organization size, By Country and Growth Forecast, 2023 - 2029

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