Global AI in Pharmaceutical 麻豆原创 Research Report 2024

Publication ID:

PB506247690

Publication Date:

June 7, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

The global AI in Pharmaceutical market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
The global pharmaceutical market is 1475 billion USD in 2022, growing at a CAGR of 5% during the next six years. The pharmaceutical market includes chemical drugs and biological drugs. For biologics is expected to 381 billion USD in 2022. In comparison, the chemical drug market is estimated to increase from 1005 billion in 2018 to 1094 billion U.S. dollars in 2022. The pharmaceutical market factors such as increasing demand for healthcare, technological advancements, and the rising prevalence of chronic diseases, increase in funding from private & government organizations for development of pharmaceutical manufacturing segments and rise in R&D activities for drugs. However, the industry also faces challenges such as stringent regulations, high costs of research and development, and patent expirations. Companies need to continuously innovate and adapt to these challenges to stay competitive in the market and ensure their products reach patients in need. Additionally, the COVID-19 pandemic has highlighted the importance of vaccine development and supply chain management, further emphasizing the need for pharmaceutical companies to be agile and responsive to emerging public health needs.
This report aims to provide a comprehensive presentation of the global market for AI in Pharmaceutical, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI in Pharmaceutical.
Report Scope
The AI in Pharmaceutical market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global AI in Pharmaceutical market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the AI in Pharmaceutical companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
麻豆原创 Segmentation
By Company
Google LLC.
Intel Corporation
Sanofi
Eli Lilly and Company
IBM Corporation
Exscientia
Iktos
Biovista
Segment by Type
Smartphones and Tablets
Wearables
Workstation Systems
Medical Devices
Autonomous Robots
Imaging Systems
Others
Segment by Application
Hospitals and Providers
Pharmaceutical and Biotechnology companies
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of AI in Pharmaceutical companies鈥� competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global AI in Pharmaceutical 麻豆原创 Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Smartphones and Tablets
1.2.3 Wearables
1.2.4 Workstation Systems
1.2.5 Medical Devices
1.2.6 Autonomous Robots
1.2.7 Imaging Systems
1.2.8 Others
1.3 麻豆原创 by Application
1.3.1 Global AI in Pharmaceutical 麻豆原创 Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Hospitals and Providers
1.3.3 Pharmaceutical and Biotechnology companies
1.3.4 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI in Pharmaceutical 麻豆原创 Perspective (2019-2030)
2.2 AI in Pharmaceutical Growth Trends by Region
2.2.1 Global AI in Pharmaceutical 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
2.2.2 AI in Pharmaceutical Historic 麻豆原创 Size by Region (2019-2024)
2.2.3 AI in Pharmaceutical Forecasted 麻豆原创 Size by Region (2025-2030)
2.3 AI in Pharmaceutical 麻豆原创 Dynamics
2.3.1 AI in Pharmaceutical Industry Trends
2.3.2 AI in Pharmaceutical 麻豆原创 Drivers
2.3.3 AI in Pharmaceutical 麻豆原创 Challenges
2.3.4 AI in Pharmaceutical 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI in Pharmaceutical Players by Revenue
3.1.1 Global Top AI in Pharmaceutical Players by Revenue (2019-2024)
3.1.2 Global AI in Pharmaceutical Revenue 麻豆原创 Share by Players (2019-2024)
3.2 Global AI in Pharmaceutical 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by AI in Pharmaceutical Revenue
3.4 Global AI in Pharmaceutical 麻豆原创 Concentration Ratio
3.4.1 Global AI in Pharmaceutical 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI in Pharmaceutical Revenue in 2023
3.5 AI in Pharmaceutical Key Players Head office and Area Served
3.6 Key Players AI in Pharmaceutical Product Solution and Service
3.7 Date of Enter into AI in Pharmaceutical 麻豆原创
3.8 Mergers & Acquisitions, Expansion Plans
4 AI in Pharmaceutical Breakdown Data by Type
4.1 Global AI in Pharmaceutical Historic 麻豆原创 Size by Type (2019-2024)
4.2 Global AI in Pharmaceutical Forecasted 麻豆原创 Size by Type (2025-2030)
5 AI in Pharmaceutical Breakdown Data by Application
5.1 Global AI in Pharmaceutical Historic 麻豆原创 Size by Application (2019-2024)
5.2 Global AI in Pharmaceutical Forecasted 麻豆原创 Size by Application (2025-2030)
6 North America
6.1 North America AI in Pharmaceutical 麻豆原创 Size (2019-2030)
6.2 North America AI in Pharmaceutical 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America AI in Pharmaceutical 麻豆原创 Size by Country (2019-2024)
6.4 North America AI in Pharmaceutical 麻豆原创 Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI in Pharmaceutical 麻豆原创 Size (2019-2030)
7.2 Europe AI in Pharmaceutical 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe AI in Pharmaceutical 麻豆原创 Size by Country (2019-2024)
7.4 Europe AI in Pharmaceutical 麻豆原创 Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific AI in Pharmaceutical 麻豆原创 Size (2019-2030)
8.2 Asia-Pacific AI in Pharmaceutical 麻豆原创 Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific AI in Pharmaceutical 麻豆原创 Size by Region (2019-2024)
8.4 Asia-Pacific AI in Pharmaceutical 麻豆原创 Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America AI in Pharmaceutical 麻豆原创 Size (2019-2030)
9.2 Latin America AI in Pharmaceutical 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America AI in Pharmaceutical 麻豆原创 Size by Country (2019-2024)
9.4 Latin America AI in Pharmaceutical 麻豆原创 Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI in Pharmaceutical 麻豆原创 Size (2019-2030)
10.2 Middle East & Africa AI in Pharmaceutical 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa AI in Pharmaceutical 麻豆原创 Size by Country (2019-2024)
10.4 Middle East & Africa AI in Pharmaceutical 麻豆原创 Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Google LLC.
11.1.1 Google LLC. Company Detail
11.1.2 Google LLC. Business Overview
11.1.3 Google LLC. AI in Pharmaceutical Introduction
11.1.4 Google LLC. Revenue in AI in Pharmaceutical Business (2019-2024)
11.1.5 Google LLC. Recent Development
11.2 Intel Corporation
11.2.1 Intel Corporation Company Detail
11.2.2 Intel Corporation Business Overview
11.2.3 Intel Corporation AI in Pharmaceutical Introduction
11.2.4 Intel Corporation Revenue in AI in Pharmaceutical Business (2019-2024)
11.2.5 Intel Corporation Recent Development
11.3 Sanofi
11.3.1 Sanofi Company Detail
11.3.2 Sanofi Business Overview
11.3.3 Sanofi AI in Pharmaceutical Introduction
11.3.4 Sanofi Revenue in AI in Pharmaceutical Business (2019-2024)
11.3.5 Sanofi Recent Development
11.4 Eli Lilly and Company
11.4.1 Eli Lilly and Company Company Detail
11.4.2 Eli Lilly and Company Business Overview
11.4.3 Eli Lilly and Company AI in Pharmaceutical Introduction
11.4.4 Eli Lilly and Company Revenue in AI in Pharmaceutical Business (2019-2024)
11.4.5 Eli Lilly and Company Recent Development
11.5 IBM Corporation
11.5.1 IBM Corporation Company Detail
11.5.2 IBM Corporation Business Overview
11.5.3 IBM Corporation AI in Pharmaceutical Introduction
11.5.4 IBM Corporation Revenue in AI in Pharmaceutical Business (2019-2024)
11.5.5 IBM Corporation Recent Development
11.6 Exscientia
11.6.1 Exscientia Company Detail
11.6.2 Exscientia Business Overview
11.6.3 Exscientia AI in Pharmaceutical Introduction
11.6.4 Exscientia Revenue in AI in Pharmaceutical Business (2019-2024)
11.6.5 Exscientia Recent Development
11.7 Iktos
11.7.1 Iktos Company Detail
11.7.2 Iktos Business Overview
11.7.3 Iktos AI in Pharmaceutical Introduction
11.7.4 Iktos Revenue in AI in Pharmaceutical Business (2019-2024)
11.7.5 Iktos Recent Development
11.8 Biovista
11.8.1 Biovista Company Detail
11.8.2 Biovista Business Overview
11.8.3 Biovista AI in Pharmaceutical Introduction
11.8.4 Biovista Revenue in AI in Pharmaceutical Business (2019-2024)
11.8.5 Biovista Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details

Companies Mentioned:

Google LLC.
Intel Corporation
Sanofi
Eli Lilly and Company
IBM Corporation
Exscientia
Iktos
Biovista

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