Artificial Intelligence in Pharma Manufacturing Market: Global Market Estimation, Dynamics, Regional Share, Trends, Competitor Analysis (2017-2021) and Forecast (2022-2028)

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Artificial Intelligence in Pharma Manufacturing Market: By Offering (Hardware, Software, Services),  By Technology (Computer Vision, Computer Vision, Machine Learning, Natural Language Processing, Context-Aware Computing), Deployment Mode (Cloud, On-Premise) and Geography

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Report

Description

Artificial Intelligence in Pharma Manufacturing Market size is valued at USD x billion in 2021 and is expected to reach a value of USD x billion by 2028, growing at a CAGR of x% during the forecast period 2022 to 2028. The global market provides a detailed overview of the artificial intelligence in pharma manufacturing market and 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 2022 to 2028. Based on deployment type, this market is segmented into cloud and on-premises. The cloud segment accounts for the largest share in 2021. The on-premises segment has the second-largest share during the forecast period 2021 to 2028.

Artificial Intelligence in Pharma Manufacturing Market

MARKET SUMMARY
-
% CAGR
  • Study Period– 2022-2028
  • Base Year– 2021
  • CAGR– %
  • Largest Market– Asia-Pacific
  • Fastest Growing Market–  North America

Artificial Intelligence

In Pharma Manufacturing Market

  • The Artificial Intelligence in Pharma Manufacturing Market report gives comprehensive outlook across the region with special emphasis on key regions such as North America, Europe, Asia Pacific, Latin America and Middle East and Africa.
  • The Artificial Intelligence in Pharma Manufacturing Market is segmented based on by Offering, By Technology, Deployment Mode and geography.
Key Players
  • 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)
DRIVERS

Artificial Intelligence in Pharma Manufacturing Market

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

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
Latin-America
North-America
North-America
Europe
Europe
Asia Pacific
Asia-Pacific
Middle East
Middle East

Key

Key Features of the Report

  • The artificial intelligence in pharma manufacturing market report provides granular level information about the market size, regional market share, historic market (2017-2021) and forecast (2022-2028)
  • The artificial intelligence in pharma manufacturing market report covers in-detail insights about the competitor’s overview, company share analysis, key market developments, and their key strategies
  • The artificial intelligence in pharma manufacturing market report outlines drivers, restraints, unmet needs, and trends that are currently affecting the market
  • The artificial intelligence in pharma manufacturing market report tracks recent innovations, key developments, and start-up details that are actively working in the market
  • The artificial intelligence in pharma manufacturing market report provides a plethora of information about market entry strategies, regulatory framework, and reimbursement scenario

Artificial Intelligence in Pharma Manufacturing Market Segmentation


Location

GEOGRAPHY

Frequently Asked Questions

The Artificial Intelligence in Pharma Manufacturing Market is projected to expand at a CAGR of X% 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


Report

Table Of Content

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, 2017 – 2021 and Forecast, 2022 – 2028
4.1. Market Analysis, 2017 – 2021 and Forecast, 2022 – 2028 (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, 2017 – 2021 and Forecast, 2022 – 2028 (Revenue, USD Mn) 
5.1. Hardware
5.1.1. Market Analysis, 2017 – 2021 and Forecast, 2022 – 2028 (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, 2017 – 2021 and Forecast, 2022 – 2028 (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, 2017 – 2021 and Forecast, 2022 – 2028 (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, 2017 – 2021 and Forecast, 2022 – 2028
6.1. Computer Vision
6.1.1. Market Analysis, 2017 – 2021 and Forecast, 2022 – 2028 (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, 2017 – 2021 and Forecast, 2022 – 2028 (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, 2017 – 2021 and Forecast, 2022 – 2028 (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, 2017 – 2021 and Forecast, 2022 – 2028 (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, 2017 – 2021 and Forecast, 2022 – 2028
7.1. Cloud
7.1.1. Market Analysis, 2017 – 2021 and Forecast, 2022 – 2028 (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, 2017 – 2021 and Forecast, 2022 – 2028 (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, 2017 – 2021 and Forecast, 2022 – 2028 (Revenue, USD Mn) 
8.1. North America
8.1.1. Market Analysis, 2017 – 2021 and Forecast, 2022 – 2028 (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, 2017 – 2021 and Forecast, 2022 – 2028 (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, 2017 – 2021 and Forecast, 2022 – 2028 (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, 2017 – 2021 and Forecast, 2022 – 2028 (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, 2017 – 2021 and Forecast, 2022 – 2028 (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, 2022 – 2028
9. North America Artificial Intelligence in Pharma Manufacturing Market Analysis, 2017 – 2021 and Forecast, 2022 – 2028 (Revenue, USD Mn) 
9.1. Offering Analysis 2017 – 2021 and Forecast 2022 – 2028 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 2017 – 2021 and Forecast 2022 – 2028 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 2017 – 2021 and Forecast 2022 – 2028 by Revenue (USD Mn), Y-o-Y Growth (%) and Market Share (%)
9.3.1. Cloud
9.3.2. On-Premise
9.4. Country Analysis 2017 – 2021 and Forecast 2022 – 2028 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, 2022 – 2028
9.6. North America Artificial Intelligence in Pharma Manufacturing Market Dynamics – Trends
10. Europe Artificial Intelligence in Pharma Manufacturing Market Analysis, 2017 – 2021 and Forecast, 2022 – 2028 (Revenue, USD Mn) 
10.1. Offering Analysis 2017 – 2021 and Forecast 2022 – 2028 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 2017 – 2021 and Forecast 2022 – 2028 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 2017 – 2021 and Forecast 2022 – 2028 by Revenue (USD Mn), Y-o-Y Growth (%) and Market Share (%)
10.3.1. Cloud
10.3.2. On-Premise
10.4. Country Analysis 2017 – 2021 and Forecast 2022 – 2028 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, 2022 – 2028
10.6. Europe Artificial Intelligence in Pharma Manufacturing Market Dynamics – Trends
11. Asia-Pacific Artificial Intelligence in Pharma Manufacturing Market Analysis, 2017 – 2021 and Forecast, 2022 – 2028 (Revenue, USD Mn) 
11.1. Offering Analysis 2017 – 2021 and Forecast 2022 – 2028 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 2017 – 2021 and Forecast 2022 – 2028 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 2017 – 2021 and Forecast 2022 – 2028 by Revenue (USD Mn), Y-o-Y Growth (%) and Market Share (%)
11.3.1. Cloud
11.3.2. On-Premise
11.4. Country Analysis 2017 – 2021 and Forecast 2022 – 2028 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, 2022 – 2028
11.6. Asia-Pacific Artificial Intelligence in Pharma Manufacturing Market Dynamics – Trends
12. Latin America Artificial Intelligence in Pharma Manufacturing Market Analysis, 2017 – 2021 and Forecast, 2022 – 2028 (Revenue, USD Mn) 
12.1. Offering Analysis 2017 – 2021 and Forecast 2022 – 2028 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 2017 – 2021 and Forecast 2022 – 2028 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 2017 – 2021 and Forecast 2022 – 2028 by Revenue (USD Mn), Y-o-Y Growth (%) and Market Share (%)
12.3.1. Cloud
12.3.2. On-Premise
12.4. Country Analysis 2017 – 2021 and Forecast 2022 – 2028 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, 2022 – 2028
12.6. Latin America Artificial Intelligence in Pharma Manufacturing Market Dynamics – Trends
13. Middle East and Africa Artificial Intelligence in Pharma Manufacturing Market Analysis, 2017 – 2021 and Forecast, 2022 – 2028 (Revenue, USD Mn) 
13.1. Offering Analysis 2017 – 2021 and Forecast 2022 – 2028 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 2017 – 2021 and Forecast 2022 – 2028 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 2017 – 2021 and Forecast 2022 – 2028 by Revenue (USD Mn), Y-o-Y Growth (%) and Market Share (%)
13.3.1. Cloud
13.3.2. On-Premise
13.4. Country Analysis 2017 – 2021 and Forecast 2022 – 2028 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, 2022 – 2028
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

Report

Company Profile

  • 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)

Description

Artificial Intelligence in Pharma Manufacturing Market size is valued at USD x billion in 2021 and is expected to reach a value of USD x billion by 2028, growing at a CAGR of x% during the forecast period 2022 to 2028. The global market provides a detailed overview of the artificial intelligence in pharma manufacturing market and 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 2022 to 2028. Based on deployment type, this market is segmented into cloud and on-premises. The cloud segment accounts for the largest share in 2021. The on-premises segment has the second-largest share during the forecast period 2021 to 2028.

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