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LI20101302 |
Pages: 155 |
Jan 2023 |
The global artificial intelligence (ai) in drug discovery market is estimated to surpass $3,955.3 million by 2027, exhibiting a CAGR of 40.6% from 2020 to 2027.
This report provides detailed insights on the present position and future perspective of the industry by deeply analyzing key factors of the market including major segments and regions, market drivers and restraints, rewarding investment opportunities, major players, and competitive outlook.
The report also furnishes the significant forces that are impacting market growth. Moreover, the report provides Porter’s Five Forces analysis which reveals the forte of prevailing players and the condition of the market in terms of growth and future opportunities. Furthermore, the report offers clear insights on the market size and scope by analyzing the global artificial intelligence (ai) in drug discovery market across different segments and sub-segments. The report offers detailed insights on the regional market condition of these segments and each segment is meticulously analyzed at regional as well as country level to get a broader scenario of the global artificial intelligence (ai) in drug discovery market. The report divides the global artificial intelligence (ai) in drug discovery market into four key regions including North America, Europe, Asia-Pacific, and LAMEA which are further segmented into major countries to cover the artificial intelligence (ai) in drug discovery market lookout in respective areas.
Additionally, competitive landscape of the global artificial intelligence (ai) in drug discovery market is deliberated in the report. Key players active in the global artificial intelligence (ai) in drug discovery market are also evaluated to understand their position in the global market. The report also provides information on product portfolio, company initiatives, winning business strategies, novel developments, and financial position of these players.
Research Methodology
We claim to offer our clients with reliable research and analysis garnered from various industry parameters and inputs such as recent trends, interview with participants of the industry, trustworthy sources of information & statistics, and regional acumen. Our expert market analysts have formulated this report by keenly scrutinizing every aspect of the market. Moreover, various top research and analysis approaches and tools have been used to draft this report with fine points, quality, and precision.
Various activities such as detailed deliberations and interviews with various leading investors and market professionals have been performed to collate every detail as well as driving forces of the global market. Both primary as well as secondary research techniques have been implemented for capturing detailed market predictions and forecasts. A huge variety of industry related documents such as industry releases, product type literatures, yearly reports, and others have been keenly studied for obtaining a clearer picture of the global artificial intelligence (ai) in drug discovery market scenario. Moreover, certified and renowned resources such as independent studies, medical journals, technical journals, releases by trade association, materials published by government & regulatory authorities, and others have been reviewed to better understand the global market condition.
KEY MARKET BENEFITS
KEY MARKET SEGMENTS
The report deliberates the following segments of the market:
Region:
The global artificial intelligence (ai) in drug discovery market was evaluated across North America, Europe, Asia Pacific, and LAMEA.
The above-mentioned regions are further dived in countries as follows:
KEY MARKET PLAYERS
The report provides in-depth insights on the key players operating in the global artificial intelligence (ai) in drug discovery market. The major players enlisted in the report include Numerate, IBM Corporation, twoXAR, BIOAGE.
The report profiles several facts of all these key players as follows:
1. IBM Corporation
2. Microsoft
3. Google
4. NVIDIA Corporation
5. Atomwise, Inc.
6. Deep Genomics
7. Cloud Pharmaceuticals
8. Insilico Medicine
9. Benevolent AI
10. Exscientia
11. Cyclica
12. BIOAGE
13. Numerate
14. Numedii
15. Envisagenics
16. twoXAR
17. OWKIN, Inc.
18. XtalPi
19. Verge Genomics
20. Berg LLC
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