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Muni Kumar Meravath is a seasoned Healthcare Market Research Analyst with over 6 years of experience in the healthc.....
Artificial Intelligence in Pharma Manufacturing Market: By Offering, By Technology, By Deployment Mode and Geography
Artificial Intelligence in Pharma Manufacturing Market: By Offering, By Technology, By Deployment Mode and Geography
Artificial Intelligence in Pharma Manufacturing Market size is valued at US$ 3.09 billion in 2023 and is poised to grow at a CAGR of 41.8% from 2024-2030. The global market provides a detailed overview of the market that can be segmented by offering, technology, and deployment mode. By offering, this market has been segmented into hardware, software, and services. The hardware segment is likely to be the largest and fastest-growing segment in the market. Based on technology, this market is segmented into computer vision, machine learning, natural language processing, and context-aware computing. Among these, the computer vision segment is expected to have the fastest-growing market during the forecast period. Based on deployment type, this market is segmented into cloud and on-premises. The cloud segment accounts for the largest share in 2022. The on-premises segment has the second-largest share during the forecast period.
Study Period
2024-2030Base Year
2023CAGR
41.8%Largest Market
Asia-PacificFastest Growing Market
North America
Artificial intelligence (AI) is being more widely used in clinical trials research, which is driving up demand for AI in the pharmaceutical industry. It takes an average of 10-15 years to bring a new medicine to market, with half of that time spent in the clinical trial stages of the drug development cycle. As a result, employing AI models and analytics tools to speed up clinical trial phases, illness perception, identify relevant patients and important investigators to influence site selection, and enable novel clinical study designs is possible.
By region, the Asia Pacific market is expected to witness the highest market share during the forecast period. North America is likely to be the fastest-growing region in the market.
Latin America
Europe
Asia Pacific
Middle East
North America
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Report Benchmarks |
Details |
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Report Study Period |
2024-2030 |
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Market Size in 2023 |
US$ 3.09 billion |
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Market CAGR |
41.8% |
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By Offering |
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By Technology |
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By Deployment Mode |
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Artificial intelligence in pharma manufacturing market size was valued at US$ 3.09 billion in 2023 and anticipated to rise at a CAGR of 41.8% over 2024-2030.
The major players in the global artificial intelligence in pharma manufacturing market are IBM (US), Microsoft (US), Google Inc (US), Intel (US), NVIDIA (US), Samsung Electronics (South Korea), Xilinx (US), Micron Technology (US), Salesforce (US), SAS (US), SAP SE (Germany), Facebook (US), Baidu (China), Oracle (US), General Electric (US), Amazon Web Services (US), Cisco (US), Rockwell Automation (US), Siemens (Germany) and Graphcore (UK).
North America is the fastest-growing region for Artificial Intelligence in Pharma Manufacturing Market
| 1. Executive Summary |
| 2. Global Artificial Intelligence in Pharma Manufacturing Market Introduction |
| 2.1. Global Artificial Intelligence in Pharma Manufacturing Market Taxonomy |
| 2.2. Global Artificial Intelligence in Pharma Manufacturing Market Definitions |
| 2.2.1. By Offering |
| 2.2.2. By Technology |
| 2.2.3. By Deployment Mode |
| 3. Global Artificial Intelligence in Pharma Manufacturing Market Dynamics |
| 3.1. Drivers |
| 3.2. Restraints |
| 3.3. Opportunities/Unmet Needs of the Market |
| 3.4. Trends |
| 3.5. Global Artificial Intelligence in Pharma Manufacturing Market Dynamic Factors - Impact Analysis |
| 3.6. Global Artificial Intelligence in Pharma Manufacturing Market Competition Landscape |
| 4. Global Artificial Intelligence in Pharma Manufacturing Market Analysis, 2019 - 2023 and Forecast, 2024 - 2030 |
| 4.1. Market Analysis, 2019 - 2023 and Forecast, 2024 - 2030 (Revenue, USD Mn) |
| 4.2. Year-over-Year (Y-o-Y) Growth Analysis (%) |
| 4.3. Market Opportunity Analysis |
| 5. Global Artificial Intelligence in Pharma Manufacturing Market, By Offering, 2019 - 2023 and Forecast, 2024 - 2030 (Revenue, USD Mn) |
| 5.1. Hardware |
| 5.1.1. Market Analysis, 2019 - 2023 and Forecast, 2024 - 2030 (Revenue, USD Mn) |
| 5.1.2. Year-over-Year (Y-o-Y) Growth Analysis (%) and Market Share Analysis (%) |
| 5.1.3. Market Opportunity Analysis |
| 5.2. Software |
| 5.2.1. Market Analysis, 2019 - 2023 and Forecast, 2024 - 2030 (Revenue, USD Mn) |
| 5.2.2. Year-over-Year (Y-o-Y) Growth Analysis (%) and Market Share Analysis (%) |
| 5.2.3. Market Opportunity Analysis |
| 5.3. Services |
| 5.3.1. Market Analysis, 2019 - 2023 and Forecast, 2024 - 2030 (Revenue, USD Mn) |
| 5.3.2. Year-over-Year (Y-o-Y) Growth Analysis (%) and Market Share Analysis (%) |
| 5.3.3. Market Opportunity Analysis |
| 6. Global Artificial Intelligence in Pharma Manufacturing Market Forecast, By Technology, 2019 - 2023 and Forecast, 2024 - 2030 |
| 6.1. Computer Vision |
| 6.1.1. Market Analysis, 2019 - 2023 and Forecast, 2024 - 2030 (Revenue, USD Mn) |
| 6.1.2. Year-over-Year (Y-o-Y) Growth Analysis (%) and Market Share Analysis (%) |
| 6.1.3. Market Opportunity Analysis |
| 6.2. Machine Learning |
| 6.2.1. Market Analysis, 2019 - 2023 and Forecast, 2024 - 2030 (Revenue, USD Mn) |
| 6.2.2. Year-over-Year (Y-o-Y) Growth Analysis (%) and Market Share Analysis (%) |
| 6.2.3. Market Opportunity Analysis |
| 6.3. Natural Language Processing |
| 6.3.1. Market Analysis, 2019 - 2023 and Forecast, 2024 - 2030 (Revenue, USD Mn) |
| 6.3.2. Year-over-Year (Y-o-Y) Growth Analysis (%) and Market Share Analysis (%) |
| 6.3.3. Market Opportunity Analysis |
| 6.4. Context-Aware Computing |
| 6.4.1. Market Analysis, 2019 - 2023 and Forecast, 2024 - 2030 (Revenue, USD Mn) |
| 6.4.2. Year-over-Year (Y-o-Y) Growth Analysis (%) and Market Share Analysis (%) |
| 6.4.3. Market Opportunity Analysis |
| 7. Global Artificial Intelligence in Pharma Manufacturing Market Forecast, By Deployment Mode, 2019 - 2023 and Forecast, 2024 - 2030 |
| 7.1. Cloud |
| 7.1.1. Market Analysis, 2019 - 2023 and Forecast, 2024 - 2030 (Revenue, USD Mn) |
| 7.1.2. Year-over-Year (Y-o-Y) Growth Analysis (%) and Market Share Analysis (%) |
| 7.1.3. Market Opportunity Analysis |
| 7.2. On-Premise |
| 7.2.1. Market Analysis, 2019 - 2023 and Forecast, 2024 - 2030 (Revenue, USD Mn) |
| 7.2.2. Year-over-Year (Y-o-Y) Growth Analysis (%) and Market Share Analysis (%) |
| 7.2.3. Market Opportunity Analysis |
| 8. Global Artificial Intelligence in Pharma Manufacturing Market Forecast, By Region, 2019 - 2023 and Forecast, 2024 - 2030 (Revenue, USD Mn) |
| 8.1. North America |
| 8.1.1. Market Analysis, 2019 - 2023 and Forecast, 2024 - 2030 (Revenue, USD Mn) |
| 8.1.2. Year-over-Year (Y-o-Y) Growth Analysis (%) and Market Share Analysis (%) |
| 8.1.3. Market Opportunity Analysis |
| 8.2. Europe |
| 8.2.1. Market Analysis, 2019 - 2023 and Forecast, 2024 - 2030 (Revenue, USD Mn) |
| 8.2.2. Year-over-Year (Y-o-Y) Growth Analysis (%) and Market Share Analysis (%) |
| 8.2.3. Market Opportunity Analysis |
| 8.3. Asia-Pacific |
| 8.3.1. Market Analysis, 2019 - 2023 and Forecast, 2024 - 2030 (Revenue, USD Mn) |
| 8.3.2. Year-over-Year (Y-o-Y) Growth Analysis (%) and Market Share Analysis (%) |
| 8.3.3. Market Opportunity Analysis |
| 8.4. Latin America |
| 8.4.1. Market Analysis, 2019 - 2023 and Forecast, 2024 - 2030 (Revenue, USD Mn) |
| 8.4.2. Year-over-Year (Y-o-Y) Growth Analysis (%) and Market Share Analysis (%) |
| 8.4.3. Market Opportunity Analysis |
| 8.5. Middle East and Africa |
| 8.5.1. Market Analysis, 2019 - 2023 and Forecast, 2024 - 2030 (Revenue, USD Mn) |
| 8.5.2. Year-over-Year (Y-o-Y) Growth Analysis (%) and Market Share Analysis (%) |
| 8.5.3. Market Opportunity Analysis |
| 8.6. Global Artificial Intelligence in Pharma Manufacturing Market - Opportunity Analysis Index, By Offering, By Technology, By Deployment, and Region, 2024 - 2030 |
| 9. North America Artificial Intelligence in Pharma Manufacturing Market Analysis, 2019 - 2023 and Forecast, 2024 - 2030 (Revenue, USD Mn) |
| 9.1. Offering Analysis 2019 - 2023 and Forecast 2024 - 2030 by Revenue (USD Mn), Y-o-Y Growth (%), and Market Share (%) |
| 9.1.1. Hardware |
| 9.1.2. Software |
| 9.1.3. Services |
| 9.2. Technology Analysis 2019 - 2023 and Forecast 2024 - 2030 by Revenue (USD Mn), Y-o-Y Growth (%), and Market Share (%) |
| 9.2.1. Computer Vision |
| 9.2.2. Machine Learning |
| 9.2.3. Natural Language Processing |
| 9.2.4. Context-Aware Computing |
| 9.3. Deployment Mode Analysis 2019 - 2023 and Forecast 2024 - 2030 by Revenue (USD Mn), Y-o-Y Growth (%) and Market Share (%) |
| 9.3.1. Cloud |
| 9.3.2. On-Premise |
| 9.4. Country Analysis 2019 - 2023 and Forecast 2024 - 2030 by Revenue (USD Mn) Y-o-Y Growth (%) and Market Share (%) |
| 9.4.1. USA |
| 9.4.2. Canada |
| 9.5. North America Artificial Intelligence in Pharma Manufacturing Market - Opportunity Analysis Index, By Offering, By Technology, By End-Use and Country, 2024 - 2030 |
| 9.6. North America Artificial Intelligence in Pharma Manufacturing Market Dynamics Trends |
| 10. Europe Artificial Intelligence in Pharma Manufacturing Market Analysis, 2019 - 2023 and Forecast, 2024 - 2030 (Revenue, USD Mn) |
| 10.1. Offering Analysis 2019 - 2023 and Forecast 2024 - 2030 by Revenue (USD Mn), Y-o-Y Growth (%), and Market Share (%) |
| 10.1.1. Hardware |
| 10.1.2. Software |
| 10.1.3. Services |
| 10.2. Technology Analysis 2019 - 2023 and Forecast 2024 - 2030 by Revenue (USD Mn), Y-o-Y Growth (%), and Market Share (%) |
| 10.2.1. Computer Vision |
| 10.2.2. Machine Learning |
| 10.2.3. Natural Language Processing |
| 10.2.4. Context-Aware Computing |
| 10.3. Deployment Mode Analysis 2019 - 2023 and Forecast 2024 - 2030 by Revenue (USD Mn), Y-o-Y Growth (%) and Market Share (%) |
| 10.3.1. Cloud |
| 10.3.2. On-Premise |
| 10.4. Country Analysis 2019 - 2023 and Forecast 2024 - 2030 by Revenue (USD Mn) Y-o-Y Growth (%) and Market Share (%) |
| 10.4.1. Germany |
| 10.4.2. UK |
| 10.4.3. France |
| 10.4.4. Spain |
| 10.4.5. Italy |
| 10.4.6. Russia |
| 10.4.7. Poland |
| 10.4.8. Rest of Europe |
| 10.5. Europe Artificial Intelligence in Pharma Manufacturing Market - Opportunity Analysis Index, By Offering, By Technology, By End-Use and Country, 2024 - 2030 |
| 10.6. Europe Artificial Intelligence in Pharma Manufacturing Market Dynamics Trends |
| 11. Asia-Pacific Artificial Intelligence in Pharma Manufacturing Market Analysis, 2019 - 2023 and Forecast, 2024 - 2030 (Revenue, USD Mn) |
| 11.1. Offering Analysis 2019 - 2023 and Forecast 2024 - 2030 by Revenue (USD Mn), Y-o-Y Growth (%), and Market Share (%) |
| 11.1.1. Hardware |
| 11.1.2. Software |
| 11.1.3. Services |
| 11.2. Technology Analysis 2019 - 2023 and Forecast 2024 - 2030 by Revenue (USD Mn), Y-o-Y Growth (%), and Market Share (%) |
| 11.2.1. Computer Vision |
| 11.2.2. Machine Learning |
| 11.2.3. Natural Language Processing |
| 11.2.4. Context-Aware Computing |
| 11.3. Deployment Mode Analysis 2019 - 2023 and Forecast 2024 - 2030 by Revenue (USD Mn), Y-o-Y Growth (%) and Market Share (%) |
| 11.3.1. Cloud |
| 11.3.2. On-Premise |
| 11.4. Country Analysis 2019 - 2023 and Forecast 2024 - 2030 by Revenue (USD Mn) Y-o-Y Growth (%) and Market Share (%) |
| 11.4.1. Japan |
| 11.4.2. China |
| 11.4.3. India |
| 11.4.4. ASEAN |
| 11.4.5. Australia & New Zealand |
| 11.4.6. Rest of Asia-Pacific |
| 11.5. Asia-Pacific Artificial Intelligence in Pharma Manufacturing Market - Opportunity Analysis Index, By Offering, By Technology, By End-Use and Country, 2024 - 2030 |
| 11.6. Asia-Pacific Artificial Intelligence in Pharma Manufacturing Market Dynamics Trends |
| 12. Latin America Artificial Intelligence in Pharma Manufacturing Market Analysis, 2019 - 2023 and Forecast, 2024 - 2030 (Revenue, USD Mn) |
| 12.1. Offering Analysis 2019 - 2023 and Forecast 2024 - 2030 by Revenue (USD Mn), Y-o-Y Growth (%), and Market Share (%) |
| 12.1.1. Hardware |
| 12.1.2. Software |
| 12.1.3. Services |
| 12.2. Technology Analysis 2019 - 2023 and Forecast 2024 - 2030 by Revenue (USD Mn), Y-o-Y Growth (%), and Market Share (%) |
| 12.2.1. Computer Vision |
| 12.2.2. Machine Learning |
| 12.2.3. Natural Language Processing |
| 12.2.4. Context-Aware Computing |
| 12.3. Deployment Mode Analysis 2019 - 2023 and Forecast 2024 - 2030 by Revenue (USD Mn), Y-o-Y Growth (%) and Market Share (%) |
| 12.3.1. Cloud |
| 12.3.2. On-Premise |
| 12.4. Country Analysis 2019 - 2023 and Forecast 2024 - 2030 by Revenue (USD Mn) Y-o-Y Growth (%) and Market Share (%) |
| 12.4.1. Brazil |
| 12.4.2. Mexico |
| 12.4.3. Argentina |
| 12.4.4. Rest of Latin America |
| 12.5. Latin America Artificial Intelligence in Pharma Manufacturing Market - Opportunity Analysis Index, By Offering, By Technology, By End-Use and Country, 2024 - 2030 |
| 12.6. Latin America Artificial Intelligence in Pharma Manufacturing Market Dynamics Trends |
| 13. Middle East and Africa Artificial Intelligence in Pharma Manufacturing Market Analysis, 2019 - 2023 and Forecast, 2024 - 2030 (Revenue, USD Mn) |
| 13.1. Offering Analysis 2019 - 2023 and Forecast 2024 - 2030 by Revenue (USD Mn), Y-o-Y Growth (%), and Market Share (%) |
| 13.1.1. Hardware |
| 13.1.2. Software |
| 13.1.3. Services |
| 13.2. Technology Analysis 2019 - 2023 and Forecast 2024 - 2030 by Revenue (USD Mn), Y-o-Y Growth (%), and Market Share (%) |
| 13.2.1. Computer Vision |
| 13.2.2. Machine Learning |
| 13.2.3. Natural Language Processing |
| 13.2.4. Context-Aware Computing |
| 13.3. Deployment Mode Analysis 2019 - 2023 and Forecast 2024 - 2030 by Revenue (USD Mn), Y-o-Y Growth (%) and Market Share (%) |
| 13.3.1. Cloud |
| 13.3.2. On-Premise |
| 13.4. Country Analysis 2019 - 2023 and Forecast 2024 - 2030 by Revenue (USD Mn) Y-o-Y Growth (%) and Market Share (%) |
| 13.4.1. Gulf Cooperation Council (GCC) Countries |
| 13.4.2. Israel |
| 13.4.3. South Africa |
| 13.4.4. Rest of MEA |
| 13.5. MEA Artificial Intelligence in Pharma Manufacturing Market - Opportunity Analysis Index, By Offering, By Technology, By End-Use and Country, 2024 - 2030 |
| 13.6. MEA Artificial Intelligence in Pharma Manufacturing Market Dynamics Trends |
| 14. Competition Landscape |
| 14.1. Strategic Dashboard of Top Market Players |
| 14.2. Company Profiles (Introduction, Financial Analysis, Feedstock Product & Service Offerings, Key Developments, Strategies, and SWOT Analysis) |
| 14.2.1. IBM (US) |
| 14.2.2. Microsoft (US) |
| 14.2.3. Google Inc (US) |
| 14.2.4. Intel (US) |
| 14.2.5. NVIDIA (US) |
| 14.2.6. Samsung Electronics (South Korea) |
| 14.2.7. Xilinx (US) |
| 14.2.8. Micron Technology (US) |
| 14.2.9. Salesforce (US) |
| 14.2.10. SAS (US) |
| 14.2.11. SAP SE (Germany) |
| 14.2.12. Facebook (US) |
| 14.2.13. Baidu (China) |
| 14.2.14. Oracle (US) |
| 14.2.15. General Electric (US) |
| 14.2.16. Amazon Web Services (US) |
| 14.2.17. Cisco (US) |
| 14.2.18. Rockwell Automation (US) |
| 14.2.19. Siemens (Germany) |
| 14.2.20. Graphcore(UK) |
| 15. Research Methodology |
| 16. Key Assumptions and Acronyms |
Key Market Players
Author
Muni Kumar Meravath is a seasoned Healthcare Market Research Analyst with over 6 years of experience in the healthcare domain, encompassing pharmaceuticals, medical devices, and diagnostics. A graduate in Pharmacy, he possesses a strong foundation in the intricacies of the healthcare sector. He further enhanced his expertise by pursuing an MBA in Pharmaceuticals, equipping him with valuable business acumen. His analytical skills and market insights have contributed to strategic decision-making and enhanced market positioning for various healthcare organizations. Committed to driving innovation and excellence, Muni continues to seek opportunities to improve healthcare delivery through data-driven insights.