Artificial Intelligence in Drug Discovery Market Expected to Expand at a Steady 2023-2030 | IBM Corporation (IBM Watson Health), Exscientia, GNS Healthcare, Alphabet, Inc.

The global Artificial Intelligence in Drug Discovery market size was valued at US$ 1,016.1 Mn in 2023 and is expected to exhibit a CAGR of 5.7% over the forecast period (2023 - 2030).

Global Artificial Intelligence in Drug Discovery Market 2023 research report represents a detailed overview of the current market situation and forecast till 2030. The study perhaps a perfect mixture of qualitative and quantitative information highlighting key market developments, challenges, competition industry face alongside gap analysis and new opportunities available and trend within the Market. Our report is compiled in 110+ pages and tables, featuring the most valuable data and figures for the forecast period up to 2030. This report offers Market size, recent trends, growth, share, development status, government policy, market dynamics, cost structure, and competitive landscape. The research report also includes the present market and its growth potentials in the given period of forecast.

Moreover, the aim of the Report to provide readers with a comprehensive overview of the market analyses. Its objective is to aid readers in devising business growth strategies, assessing the competitive landscape, evaluating their position in the current market, and making well-informed business decisions pertaining to Artificial Intelligence in Drug Discovery. The report presents several market projections for crucial variables such as market size, manufacturing, revenue, consumption, CAGR, gross margin, and price. It was created using top primary and secondary research methods and resources available in the industry. The report includes multiple research studies, such as market dynamics, pricing analysis, production and consumption analysis, company profiling, and manufacturing cost analysis.

"Our latest research report highlights the dynamic growth of the Artificial Intelligence in Drug Discovery market and provides comprehensive insights into the market size, share, and revenue projections for the forecast period up to 2030."

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List of TOP Competitors in Market Report are: -
IBM Corporation (IBM Watson Health), Exscientia, GNS Healthcare, Alphabet, Inc. (DEEPMIND), Benevolent AI, Biosymetrics, Euretos, Berg LLC., Atomwise, Inc., Insitro, and among others.

In this section the market provides essential competitor data, including strategies, financial analysis, product types, applications, and regional and indigenous areas covered. We analyse the market status and future forecasts to 2030, providing insights into the top players' data, SWOT analysis, and product details of each firm. Our report is a valuable tool for businesses seeking to gain a competitive edge in the dynamic market.

Artificial Intelligence in Drug Discovery Market Analysis and Insights: -

The artificial intelligence (AI) in drug discovery market is experiencing remarkable growth, revolutionizing the pharmaceutical industry. AI tools and algorithms accelerate drug discovery processes, from target identification and molecule screening to clinical trial design. Key drivers include the need for faster and cost-effective drug development, the vast amount of available biological data, and AI's potential to identify novel drug candidates. AI-driven drug discovery also enables personalized medicine and rare disease research. Challenges include data privacy concerns, algorithm validation, and regulatory acceptance. The market's future depends on continued AI advancements, data integration, and collaborations between biotech firms and AI innovators.

Artificial Intelligence in Drug Discovery Market Drivers and Restraints: -
Drivers:

Accelerated Drug Discovery: AI expedites drug development processes, reducing time and costs in identifying potential drug candidates.

Big Data Utilization: The vast amount of biological data available for analysis provides AI with ample resources to discover novel drug targets.

Personalized Medicine: AI enables tailored treatments based on individual patient profiles, improving therapeutic outcomes.

Rare Disease Research: AI aids in researching rare diseases, where traditional methods often fall short.

Restraints:

Data Privacy: Concerns over patient data privacy and security pose challenges in data sharing for AI-driven drug discovery.

Algorithm Validation: Ensuring the accuracy and reliability of AI algorithms is crucial for regulatory approval.

Regulatory Acceptance: Gaining regulatory approval for AI-generated drug candidates requires standardization and trust-building with regulatory bodies.

Market Segmentation:

By Therapeutic Space:

• Oncology
• Neurodegenerative Diseases
• Cardiovascular Diseases
• Metabolic Diseases
• Infectious Diseases
• Other

By Application:

• Drug Optimization & Repurposing
• Preclinical Testing
• Others

𝐏𝐮𝐫𝐜𝐡𝐚𝐬𝐞 𝐓𝐡𝐢𝐬 𝐏𝐫𝐞𝐦𝐢𝐮𝐦 𝐑𝐞𝐩𝐨𝐫𝐭 𝐖𝐢𝐭𝐡 𝐔𝐩 𝐓𝐨 𝟐𝟓% 𝐎𝐅𝐅 @ https://www.coherentmarketinsights.com/insight/buy-now/6125

Regional Analysis -

Geographically, this report is segmented into several key regions, with sales, revenue, market share and growth Rate of Artificial Intelligence in Drug Discovery in these regions, from 2023 to 2030, covering

▪️ North America (U.S., Canada, Mexico)
▪️ Europe (U.K., Italy, Germany, Russia, France, Spain, The Netherlands and Rest of Europe)
▪️ Asia-Pacific (India, Japan, China, South Korea, Australia, Indonesia Rest of Asia Pacific)
▪️ Latin America (Colombia, Brazil, Argentina, Rest of Latin America)
▪️ Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of Middle East & Africa)

👉 Business Description: a detailed description of company operations and business departments.

👉 Company Strategy: The analyst's summary of the company's business strategy.

👉 SWOT Analysis: Detailed analysis of the company's strengths, weaknesses, opportunities, and threats.

👉 Company History: The progress of major events related to the company.

👉 Main products and services: A list of the company's main products, services, and brands.

👉 Main Competitors: A list of the company's main competitors.

👉Important locations and subsidiaries: The Company's main locations and subsidiaries' list and contact information.

👉 Detailed financial ratios of the past five years: The latest financial ratios come from the annual financial statements issued by companies with a history of five years.

Reason to Buy this Report:

■ Analysis of the impact of technological advancements on the market and the emerging trends shaping the industry in the coming years.

■ Examination of the regulatory and policy changes affecting the market and the implications of these changes for market participants.

■ Overview of the competitive landscape in the market, including profiles of the key players, their market share, and strategies for growth.

■ Identification of the major challenges facing the market, such as supply chain disruptions, environmental concerns, and changing consumer preferences, and analysis of how these challenges will affect market growth.

■ Evaluation of the potential of new products and applications in the market, and analysis of the investment opportunities for market participants.

Key Questions Addressed in the Market Report:
➼ What is the forecasted size, share, & CAGR of the market in the forecast period?

➼ What are the key trends projected to affect the market during 2023-2030?

➼ What is the estimated demand for different types of products/services in the market?

➼ What would be the impact of strategic developments on the market in the mid to long term?

➼ Who are the key stakeholders and players participating in the market?

➼ What are the different segments & sub-segments considered in the market research study?

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Table of Contents :

Chapter 1 Industry Overview
1.1 Definition
1.2 Assumptions
1.3 Research Scope
1.4 Market Analysis by Regions
1.5 Market Size Analysis from 2023 to 2030
11.6 COVID-19 Outbreak: Industry Impact

Chapter 2 Competition by Types, Applications, and Top Regions and Countries
2.1 Market (Volume and Value) by Type
2.3 Market (Volume and Value) by Regions

Chapter 3 Production Market Analysis
3.1 Worldwide Production Market Analysis
3.2 Regional Production Market Analysis

Chapter 4 Sales, Consumption, Export, Import by Regions (2023-2023)
Chapter 5 North America Market Analysis
Chapter 6 East Asia Market Analysis
Chapter 7 Europe Market Analysis
Chapter 8 South Asia Market Analysis
Chapter 9 Southeast Asia Market Analysis
Chapter 10 Middle East Market Analysis
Chapter 11 Africa Market Analysis
Chapter 12 Oceania Market Analysis
Chapter 13 Latin America Market Analysis
Chapter 14 Company Profiles and Key Figures in Artificial Intelligence in Drug Discovery Business
Chapter 15 Market Forecast (2023-2030)
Chapter 16 Conclusions

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