- Hardware
- Software
- Services
Artificial Intelligence in Pharma Manufacturing Market size is valued at USD 2.09 billion in 2022 and is poised to grow at a CAGR of 41.8% from 2023-2029. 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.
Artificial Intelligence In Pharma Manufacturing Market Summary
Study Period
2024-2030
Base Year
2023
CAGR
41.8%
Largest Market
Asia-Pacific
Fastest Growing Market
North America
Artificial Intelligence in Pharma Manufacturing Market Dynamics
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.
Asia Pacific Market Got Significant Share
Artificial Intelligence in Pharma Manufacturing Market Regional Analysis
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
Key Features of the Reports
- The report provides granular level information about the market size, regional market share, historic market (2019-2023), and forecast (2024-2030)
- The report covers in-detail insights about the competitor’s overview, company share analysis, key market developments, and their key strategies
- The report outlines drivers, restraints, unmet needs, and trends that are currently affecting the market
- The report tracks recent innovations, key developments, and start-up details that are actively working in the market
- The report provides a plethora of information about market entry strategies, regulatory framework, and reimbursement scenario
Artificial Intelligence In Pharma Manufacturing Market Segmentation
By Offering
By Technology
- Computer Vision
- Computer Vision
- Machine Learning
- Natural Language Processing
- Context-Aware Computing
By Deployment Mode
- Cloud
- On-Premise
Frequently Asked Questions
The Artificial Intelligence in Pharma Manufacturing Market is projected to expand at a CAGR of 41.8% during the forecast period.
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, 2018 - 2022 and Forecast, 2023 - 2029 |
| 4.1. Market Analysis, 2018 - 2022 and Forecast, 2023 - 2029 (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, 2018 - 2022 and Forecast, 2023 - 2029 (Revenue, USD Mn) |
| 5.1. Hardware |
| 5.1.1. Market Analysis, 2018 - 2022 and Forecast, 2023 - 2029 (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, 2018 - 2022 and Forecast, 2023 - 2029 (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, 2018 - 2022 and Forecast, 2023 - 2029 (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, 2018 - 2022 and Forecast, 2023 - 2029 |
| 6.1. Computer Vision |
| 6.1.1. Market Analysis, 2018 - 2022 and Forecast, 2023 - 2029 (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, 2018 - 2022 and Forecast, 2023 - 2029 (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, 2018 - 2022 and Forecast, 2023 - 2029 (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, 2018 - 2022 and Forecast, 2023 - 2029 (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, 2018 - 2022 and Forecast, 2023 - 2029 |
| 7.1. Cloud |
| 7.1.1. Market Analysis, 2018 - 2022 and Forecast, 2023 - 2029 (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, 2018 - 2022 and Forecast, 2023 - 2029 (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, 2018 - 2022 and Forecast, 2023 - 2029 (Revenue, USD Mn) |
| 8.1. North America |
| 8.1.1. Market Analysis, 2018 - 2022 and Forecast, 2023 - 2029 (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, 2018 - 2022 and Forecast, 2023 - 2029 (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, 2018 - 2022 and Forecast, 2023 - 2029 (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, 2018 - 2022 and Forecast, 2023 - 2029 (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, 2018 - 2022 and Forecast, 2023 - 2029 (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, 2023 - 2029 |
| 9. North America Artificial Intelligence in Pharma Manufacturing Market Analysis, 2018 - 2022 and Forecast, 2023 - 2029 (Revenue, USD Mn) |
| 9.1. Offering Analysis 2018 - 2022 and Forecast 2023 - 2029 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 2018 - 2022 and Forecast 2023 - 2029 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 2018 - 2022 and Forecast 2023 - 2029 by Revenue (USD Mn), Y-o-Y Growth (%) and Market Share (%) |
| 9.3.1. Cloud |
| 9.3.2. On-Premise |
| 9.4. Country Analysis 2018 - 2022 and Forecast 2023 - 2029 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, 2023 - 2029 |
| 9.6. North America Artificial Intelligence in Pharma Manufacturing Market Dynamics Trends |
| 10. Europe Artificial Intelligence in Pharma Manufacturing Market Analysis, 2018 - 2022 and Forecast, 2023 - 2029 (Revenue, USD Mn) |
| 10.1. Offering Analysis 2018 - 2022 and Forecast 2023 - 2029 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 2018 - 2022 and Forecast 2023 - 2029 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 2018 - 2022 and Forecast 2023 - 2029 by Revenue (USD Mn), Y-o-Y Growth (%) and Market Share (%) |
| 10.3.1. Cloud |
| 10.3.2. On-Premise |
| 10.4. Country Analysis 2018 - 2022 and Forecast 2023 - 2029 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, 2023 - 2029 |
| 10.6. Europe Artificial Intelligence in Pharma Manufacturing Market Dynamics Trends |
| 11. Asia-Pacific Artificial Intelligence in Pharma Manufacturing Market Analysis, 2018 - 2022 and Forecast, 2023 - 2029 (Revenue, USD Mn) |
| 11.1. Offering Analysis 2018 - 2022 and Forecast 2023 - 2029 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 2018 - 2022 and Forecast 2023 - 2029 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 2018 - 2022 and Forecast 2023 - 2029 by Revenue (USD Mn), Y-o-Y Growth (%) and Market Share (%) |
| 11.3.1. Cloud |
| 11.3.2. On-Premise |
| 11.4. Country Analysis 2018 - 2022 and Forecast 2023 - 2029 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, 2023 - 2029 |
| 11.6. Asia-Pacific Artificial Intelligence in Pharma Manufacturing Market Dynamics Trends |
| 12. Latin America Artificial Intelligence in Pharma Manufacturing Market Analysis, 2018 - 2022 and Forecast, 2023 - 2029 (Revenue, USD Mn) |
| 12.1. Offering Analysis 2018 - 2022 and Forecast 2023 - 2029 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 2018 - 2022 and Forecast 2023 - 2029 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 2018 - 2022 and Forecast 2023 - 2029 by Revenue (USD Mn), Y-o-Y Growth (%) and Market Share (%) |
| 12.3.1. Cloud |
| 12.3.2. On-Premise |
| 12.4. Country Analysis 2018 - 2022 and Forecast 2023 - 2029 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, 2023 - 2029 |
| 12.6. Latin America Artificial Intelligence in Pharma Manufacturing Market Dynamics Trends |
| 13. Middle East and Africa Artificial Intelligence in Pharma Manufacturing Market Analysis, 2018 - 2022 and Forecast, 2023 - 2029 (Revenue, USD Mn) |
| 13.1. Offering Analysis 2018 - 2022 and Forecast 2023 - 2029 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 2018 - 2022 and Forecast 2023 - 2029 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 2018 - 2022 and Forecast 2023 - 2029 by Revenue (USD Mn), Y-o-Y Growth (%) and Market Share (%) |
| 13.3.1. Cloud |
| 13.3.2. On-Premise |
| 13.4. Country Analysis 2018 - 2022 and Forecast 2023 - 2029 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, 2023 - 2029 |
| 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 |
- 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)
- Graphcore(UK)