Digital Pharmaceutical Supply Chain Management Market Size is valued at USD 1163.34 million in 2024 and is predicted to reach USD 2534.55 million by the year 2034 at an 8.2% CAGR during the forecast period for 2025-2034.
Key Insights:
Especially in terms of streamlining supply chain operations, digital transformation has become a critical component of the pharmaceutical sector. Technology is being used by a number of creative entrepreneurs in India to improve the effectiveness, transparency, and security of the pharmaceutical supply chain. Some of the top startups in India that are advancing digital transformation in the pharmaceutical supply chain are highlighted in this listicle.
Applications of the digitalized system, such as artificial intelligence-powered pharmaceutical supply chain technologies, can help businesses overcome a variety of obstacles. For instance, businesses can use artificial intelligence tools to analyze data from various sources to detect trends and anomalies, enabling more accurate demand forecasts and improved inventory control. Merck KGaA's use of a data-driven strategy to improve demand forecasting in their supply chain operations is one such example. By widely using this strategy, Merck significantly improved the forecast accuracy for 90% of their products. Using data from Merck's enterprise resource planning system, Aera's AI algorithms can estimate demand quickly and precisely while taking location and volume into account.
Over the forecast period, the market expansion is anticipated to be aided by manufacturers and providers adopting mobile-based healthcare SCM solutions at a faster rate. SCM solutions now cannot function without mobile apps. Due to mobile applications that support GPS, SCM for logistic organisations in developed and developing nations has gotten simpler. These applications track vehicles using mobile devices and sensors, improving overall SCM visibility.
The Digital Pharmaceutical Supply Chain Management market is segmented on the basis of product, mode of delivery, and Software Modules. Based on product, the market is segmented as Software, Hardware, and Services. The mode of delivery include Cloud-based, Web-based, and On -premises segments. Software Modules segment includes Software Modules Planning & Analytics, Procurement, Manufacturing, Logistics, and Inventory management.
Due to its applications in the digital pharmaceutical supply chain management market, the software category held the greatest market share of 39.7% in 2022. During the projected period, software is anticipated to increase at the fastest rate. One of the main drivers of the market is the growing use of software like SaaS, which may provide next-generation cloud computing applications like enterprise resource planning and supply chain management.
Over the projected period, cloud-based deployment is anticipated to increase at the quickest rate. Its expansion can be due to expanding adoption, cost effectiveness, and desire for user-friendly technologies. The category is anticipated to continue to grow as cloud computing usage among healthcare providers to manage inventory and procurement data increases.
The North American Digital Pharmaceutical Supply Chain Management market is expected to register highest market share in terms of revenue in the near future. Due to the rising use of technologically advanced solutions in nations like U.S. and Canada as well as mobile-based healthcare supply chain management systems.
Key Developments:
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Report Attribute |
Specifications |
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Market Size Value In 2024 |
USD 1163.34 Mn |
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Revenue Forecast In 2034 |
USD 1163.34 Mn |
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Growth Rate CAGR |
CAGR of 8.2% from 2025 to 2034 |
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Quantitative Units |
Representation of revenue in US$ Bn and CAGR from 2025 to 2034 |
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Historic Year |
2021 to 2024 |
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Forecast Year |
2025-2034 |
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Report Coverage |
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
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Segments Covered |
By product and mode of delivery, Software Modules. |
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Regional Scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
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Country Scope |
U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; The UK; France; Italy; Spain; South Korea; Southeast Asia |
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Competitive Landscape |
Sap, Oracle Corporation, McKesson Corporation, Tecsys; Jump Technologies, Inc., Infor Inc. |
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Customization Scope |
Free customization report with the procurement of the report, Modifications to the regional and segment scope. Particular Geographic competitive landscape. |
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Pricing and Available Payment Methods |
Explore pricing alternatives that are customized to your particular study requirements. |
Digital Pharmaceutical Supply Chain Management Market By Product -
Digital Pharmaceutical Supply Chain Management Market By Mode of Delivery-
Digital Pharmaceutical Supply Chain Management Market By Software Modules-
Digital Pharmaceutical Supply Chain Management Market By Region-
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & Africa-
InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.
Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.
Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.
Secondary research
The secondary research sources that are typically mentioned to include, but are not limited to:
The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista
Primary Research:
Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies
The contributors who typically take part in such a course include, but are not limited to:
Data Modeling and Analysis:
In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.
The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.
To know more about the research methodology used for this study, kindly contact us/click here.
