Machine Learning (ML) in The Pharmaceutical Industry Global Market Report 2024

Description

Machine learning (ML) in the pharmaceutical industry market involves the application of artificial intelligence (AI) algorithms and techniques to enhance drug discovery, development, and manufacturing processes. Regulatory compliance and overcoming challenges related to data quality, research gaps, and regulatory uncertainty are essential for implementing ML solutions in this industry.

The primary components of machine learning in the pharmaceutical industry are solutions and services. Solutions are applications or systems that use ML algorithms to tackle specific challenges or tasks in the pharmaceutical sector. These solutions can be deployed on the cloud or on-premise and cater to enterprises of various sizes, including small and medium enterprises (SMEs) and large enterprises.

The machine learning (ML) in the pharmaceutical industry market research report is one of a series of new reports from The Business Research Company that provides machine learning (ML) in the pharmaceutical industry market statistics, including machine learning (ML) in the pharmaceutical industry global market size, regional shares, competitors with machine learning (ML) in the pharmaceutical industry market share, detailed machine learning (ML) in the pharmaceutical industry market segments, market trends, and opportunities, and any further data you may need to thrive in the machine learning (ML) in the pharmaceutical industry. This machine learning (ML) in the pharmaceutical industry market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The machine learning in the pharmaceutical industry market size has grown exponentially in recent years. It will grow from $2.22 billion in 2023 to $3.02 billion in 2024 at a compound annual growth rate (CAGR) of 36.1%. The growth in the historic period can be attributed to the increased adoption of federated learning, accelerated drug discovery timelines, enhanced drug safety and pharmacovigilance, and the expansion of precision medicine applications.

The machine learning in the pharmaceutical industry market size is expected to see exponential growth in the next few years. It will grow to $10.2 billion in 2028 at a compound annual growth rate (CAGR) of 35.7%. The forecasted growth in the upcoming period can be attributed to several factors, including the increasing complexity of biological data, the growing computational power available, a rise in industry awareness and education, and the shift towards patient-centric healthcare solutions. Major trends expected during this period include partnerships and collaborations between AI and pharmaceutical companies, the development of drug-agnostic therapies, efforts to improve the interoperability of machine learning systems, the implementation of decentralized clinical trials, and the use of AI for biomarker discovery.

The growing use of artificial intelligence (AI) is fueling the expansion of machine learning (ML) in the pharmaceutical sector. AI, which mimics human cognition to execute intricate tasks such as analysis, reasoning, and learning, is a key driver behind ML, a subset of AI that employs algorithms trained on data to generate models capable of performing complex tasks. AI and ML have been harnessed in pharmaceutical technology and drug delivery design, providing accelerated solutions to intricate challenges. They hold the potential to revolutionize the drug delivery process, improve decision-making tools, and manage vast amounts of data for more effective decision-making. For example, as reported by Forbes in June 2023, around 432,000 UK organizations, or one in six, have adopted at least one AI technology. Furthermore, 68% of large businesses, 33% of medium-sized businesses, and 15% of small businesses have adopted at least one AI technology. Consequently, the increasing adoption of AI is poised to propel ML in the pharmaceutical industry.

Key players in the machine learning (ML) sector of the pharmaceutical industry are concentrating on creating user-friendly software platforms, including drug discovery software, to enhance their drug discovery capabilities. Drug discovery software encompasses various specialized tools and platforms utilized in identifying and developing new pharmaceutical drugs. For instance, in December 2023, Merck & Co. Inc., a US-based pharmaceutical company, introduced the AIDDISON drug discovery software. This software-as-a-service platform is the first of its kind, integrating drug discovery and synthesis through generative AI, ML, and computer-aided drug design. AIDDISON allows laboratories to pinpoint suitable drug candidates within a vast chemical space, virtually screen compounds from over 60 billion chemical targets, and assess synthesis routes for safer, more cost-effective, and higher-yield drug production.

In July 2023, BioNTech SE, a Germany-based biopharmaceutical company, acquired InstaDeep for $541 million. This acquisition is anticipated to enhance BioNTech's leading position in AI-powered drug discovery, design, and development. InstaDeep, a UK-based technology company, provides a variety of AI solutions and machine learning services tailored for the pharmaceutical sector.

Major companies operating in the machine learning (ml) in the pharmaceutical industry market report are Amazon.com Inc., Alphabet Inc., Microsoft Corporation, Dell Technologies Inc., Hitachi Ltd., International Business Machines Corporation, Cisco Systems Inc., Oracle Corporation, Honeywell International Inc., Hewlett Packard Enterprise, NVIDIA Corporation, Thales SA, Atos SE, Hexagon AB, Palantir Technologies Inc., Verient Systems Inc., Alteryx Inc., Comet ML Inc., GAVS Technologies, NEC Corporation, Veritone Inc., H2O.ai Inc., Sparkcognition Inc., Akira AI, Deep Genomics Inc., Cloud Pharmaceuticals Inc., Atomwise Inc., Cyclica Inc., BioSymetrics Inc., Neptune Labs

North America was the largest region in the machine learning in the pharmaceutical industry market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the machine learning (ml) in the pharmaceutical industry market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the machine learning (ml) in the pharmaceutical industry market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The machine learning (ML) in the pharmaceutical industry market consists of revenues earned by entities by providing components of machine learning (ML) in the pharmaceutical industry market such as solutions and services. The market value includes the value of related goods sold by the service provider or included within the service offering. The machine learning (ML) in the pharmaceutical industry market also includes sales of central processing units (CPUs), random access memory, storage systems, and graphics processing units (GPUs). Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Machine Learning (ML) in The Pharmaceutical Industry Global Market Report 2024 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on machine learning (ML) in the pharmaceutical industry market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

Gain a truly global perspective with the most comprehensive report available on this market covering 50+ geographies.
Understand how the market has been affected by the coronavirus and how it is responding as the impact of the virus abates.
Assess the Russia - Ukraine war's impact on agriculture, energy and mineral commodity supply and its direct and indirect impact on the market.
Measure the impact of high global inflation on market growth.
Create regional and country strategies on the basis of local data and analysis.
Identify growth segments for investment.
Outperform competitors using forecast data and the drivers and trends shaping the market.
Understand customers based on the latest market shares.
Benchmark performance against key competitors.
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Where is the largest and fastest growing market for machine learning (ML) in the pharmaceutical industry? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The machine learning (ML) in the pharmaceutical industry market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The market characteristics section of the report defines and explains the market.
The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
The forecasts are made after considering the major factors currently impacting the market. These include:

The impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.

The impact of higher inflation in many countries and the resulting spike in interest rates.

The continued but declining impact of covid 19 on supply chains and consumption patterns.

Market segmentations break down the market into sub markets.
The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

Markets Covered:

1) By Component: Solution; Services
2) By Component: Cloud; On-premise
3) By Enterprise Size: Small and Medium Enterprises (SMEs); Large Enterprises
Companies Mentioned: Amazon.com Inc.; Alphabet Inc.; Microsoft Corporation; Dell Technologies Inc.; Hitachi Ltd.
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery format: PDF, Word and Excel Data Dashboard.

Product Code: r16664

1. Executive Summary

2. Machine Learning (ML) in The Pharmaceutical Industry Market Characteristics

3. Machine Learning (ML) in The Pharmaceutical Industry Market Trends And Strategies

4. Machine Learning (ML) in The Pharmaceutical Industry Market - Macro Economic Scenario

4.1. Impact Of High Inflation On The Market
4.2. Ukraine-Russia War Impact On The Market
4.3. COVID-19 Impact On The Market

5. Global Machine Learning (ML) in The Pharmaceutical Industry Market Size and Growth

5.1. Global Machine Learning (ML) in The Pharmaceutical Industry Market Drivers and Restraints
- 5.1.1. Drivers Of The Market
- 5.1.2. Restraints Of The Market
5.2. Global Machine Learning (ML) in The Pharmaceutical Industry Historic Market Size and Growth, 2018 - 2023, Value ($ Billion)
5.3. Global Machine Learning (ML) in The Pharmaceutical Industry Forecast Market Size and Growth, 2023 - 2028, 2033F, Value ($ Billion)

6. Machine Learning (ML) in The Pharmaceutical Industry Market Segmentation

6.1. Global Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
Solution
Services
6.2. Global Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
Cloud
On-Premise
6.3. Global Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
Small and Medium Enterprises (SMEs)
Large Enterprises

7. Machine Learning (ML) in The Pharmaceutical Industry Market Regional And Country Analysis

7.1. Global Machine Learning (ML) in The Pharmaceutical Industry Market, Split By Region, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
7.2. Global Machine Learning (ML) in The Pharmaceutical Industry Market, Split By Country, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

8. Asia-Pacific Machine Learning (ML) in The Pharmaceutical Industry Market

8.1. Asia-Pacific Machine Learning (ML) in The Pharmaceutical Industry Market Overview
Region Information, Impact Of COVID-19, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
8.2. Asia-Pacific Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
8.3. Asia-Pacific Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
8.4. Asia-Pacific Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

9. China Machine Learning (ML) in The Pharmaceutical Industry Market

9.1. China Machine Learning (ML) in The Pharmaceutical Industry Market Overview
9.2. China Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
9.3. China Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
9.4. China Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion

10. India Machine Learning (ML) in The Pharmaceutical Industry Market

10.1. India Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
10.2. India Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
10.3. India Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

11. Japan Machine Learning (ML) in The Pharmaceutical Industry Market

11.1. Japan Machine Learning (ML) in The Pharmaceutical Industry Market Overview
11.2. Japan Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
11.3. Japan Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
11.4. Japan Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

12. Australia Machine Learning (ML) in The Pharmaceutical Industry Market

12.1. Australia Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
12.2. Australia Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
12.3. Australia Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

13. Indonesia Machine Learning (ML) in The Pharmaceutical Industry Market

13.1. Indonesia Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
13.2. Indonesia Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
13.3. Indonesia Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

14. South Korea Machine Learning (ML) in The Pharmaceutical Industry Market

14.1. South Korea Machine Learning (ML) in The Pharmaceutical Industry Market Overview
14.2. South Korea Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
14.3. South Korea Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
14.4. South Korea Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

15. Western Europe Machine Learning (ML) in The Pharmaceutical Industry Market

15.1. Western Europe Machine Learning (ML) in The Pharmaceutical Industry Market Overview
15.2. Western Europe Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
15.3. Western Europe Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
15.4. Western Europe Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

16. UK Machine Learning (ML) in The Pharmaceutical Industry Market

16.1. UK Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
16.2. UK Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
16.3. UK Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

17. Germany Machine Learning (ML) in The Pharmaceutical Industry Market

17.1. Germany Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
17.2. Germany Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
17.3. Germany Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

18. France Machine Learning (ML) in The Pharmaceutical Industry Market

18.1. France Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
18.2. France Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
18.3. France Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

19. Italy Machine Learning (ML) in The Pharmaceutical Industry Market

19.1. Italy Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
19.2. Italy Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
19.3. Italy Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

20. Spain Machine Learning (ML) in The Pharmaceutical Industry Market

20.1. Spain Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
20.2. Spain Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
20.3. Spain Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

21. Eastern Europe Machine Learning (ML) in The Pharmaceutical Industry Market

21.1. Eastern Europe Machine Learning (ML) in The Pharmaceutical Industry Market Overview
21.2. Eastern Europe Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
21.3. Eastern Europe Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
21.4. Eastern Europe Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

22. Russia Machine Learning (ML) in The Pharmaceutical Industry Market

22.1. Russia Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
22.2. Russia Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
22.3. Russia Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

23. North America Machine Learning (ML) in The Pharmaceutical Industry Market

23.1. North America Machine Learning (ML) in The Pharmaceutical Industry Market Overview
23.2. North America Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
23.3. North America Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
23.4. North America Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

24. USA Machine Learning (ML) in The Pharmaceutical Industry Market

24.1. USA Machine Learning (ML) in The Pharmaceutical Industry Market Overview
24.2. USA Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
24.3. USA Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
24.4. USA Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

25. Canada Machine Learning (ML) in The Pharmaceutical Industry Market

25.1. Canada Machine Learning (ML) in The Pharmaceutical Industry Market Overview
25.2. Canada Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
25.3. Canada Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
25.4. Canada Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

26. South America Machine Learning (ML) in The Pharmaceutical Industry Market

26.1. South America Machine Learning (ML) in The Pharmaceutical Industry Market Overview
26.2. South America Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
26.3. South America Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
26.4. South America Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

27. Brazil Machine Learning (ML) in The Pharmaceutical Industry Market

27.1. Brazil Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
27.2. Brazil Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
27.3. Brazil Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

28. Middle East Machine Learning (ML) in The Pharmaceutical Industry Market

28.1. Middle East Machine Learning (ML) in The Pharmaceutical Industry Market Overview
28.2. Middle East Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
28.3. Middle East Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
28.4. Middle East Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

29. Africa Machine Learning (ML) in The Pharmaceutical Industry Market

29.1. Africa Machine Learning (ML) in The Pharmaceutical Industry Market Overview
29.2. Africa Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
29.3. Africa Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
29.4. Africa Machine Learning (ML) in The Pharmaceutical Industry Market, Segmentation By Enterprise Size, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

30. Machine Learning (ML) in The Pharmaceutical Industry Market Competitive Landscape And Company Profiles

30.1. Machine Learning (ML) in The Pharmaceutical Industry Market Competitive Landscape
30.2. Machine Learning (ML) in The Pharmaceutical Industry Market Company Profiles
- 30.2.1. Amazon.com Inc.
  - 30.2.1.1. Overview
  - 30.2.1.2. Products and Services
  - 30.2.1.3. Strategy
  - 30.2.1.4. Financial Performance
- 30.2.2. Alphabet Inc.
  - 30.2.2.1. Overview
  - 30.2.2.2. Products and Services
  - 30.2.2.3. Strategy
  - 30.2.2.4. Financial Performance
- 30.2.3. Microsoft Corporation
  - 30.2.3.1. Overview
  - 30.2.3.2. Products and Services
  - 30.2.3.3. Strategy
  - 30.2.3.4. Financial Performance
- 30.2.4. Dell Technologies Inc.
  - 30.2.4.1. Overview
  - 30.2.4.2. Products and Services
  - 30.2.4.3. Strategy
  - 30.2.4.4. Financial Performance
- 30.2.5. Hitachi Ltd.
  - 30.2.5.1. Overview
  - 30.2.5.2. Products and Services
  - 30.2.5.3. Strategy
  - 30.2.5.4. Financial Performance

31. Machine Learning (ML) in The Pharmaceutical Industry Market Other Major And Innovative Companies

31.1. International Business Machines Corporation
31.2. Cisco Systems Inc.
31.3. Oracle Corporation
31.4. Honeywell International Inc.
31.5. Hewlett Packard Enterprise
31.6. NVIDIA Corporation
31.7. Thales SA
31.8. Atos SE
31.9. Hexagon AB
31.10. Palantir Technologies Inc.
31.11. Verient Systems Inc.
31.12. Alteryx Inc.
31.13. Comet ML Inc.
31.14. GAVS Technologies
31.15. NEC Corporation

32. Global Machine Learning (ML) in The Pharmaceutical Industry Market Competitive Benchmarking

33. Global Machine Learning (ML) in The Pharmaceutical Industry Market Competitive Dashboard

34. Key Mergers And Acquisitions In The Machine Learning (ML) in The Pharmaceutical Industry Market

35. Machine Learning (ML) in The Pharmaceutical Industry Market Future Outlook and Potential Analysis

35.1 Machine Learning (ML) in The Pharmaceutical Industry Market In 2028 - Countries Offering Most New Opportunities
35.2 Machine Learning (ML) in The Pharmaceutical Industry Market In 2028 - Segments Offering Most New Opportunities
35.3 Machine Learning (ML) in The Pharmaceutical Industry Market In 2028 - Growth Strategies
- 35.3.1 Market Trend Based Strategies
- 35.3.2 Competitor Strategies

36. Appendix

36.1. Abbreviations
36.2. Currencies
36.3. Historic And Forecast Inflation Rates
36.4. Research Inquiries
36.5. The Business Research Company
36.6. Copyright And Disclaimer