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Global Bio-Pharma Logistics Market to reach USD XX billion by the end of 2029.

Global Bio-Pharma Logistics Market Size study & Forecast, by Service (Transportation, Warehousing and Distribution, and Value-added Services), by Type of Operation (Cold Chain and Non-cold Chain), and Regional Analysis, 2022-2029

Product Code: ALTL-67167125
Publish Date: 13-05-2023
Page: 200

The Global Bio-Pharma Logistics Market is valued at approximately USD XX billion in 2021 and is anticipated to grow with a healthy growth rate of more than XX % over the forecast period 2022-2029. Biopharmaceuticals are among the most significant achievements of modern science. These drugs are increasingly being used in almost all fields of medicine. They have evolved into one of the most effective clinical treatment modalities for a wide range of diseases, including cancer and metabolic disorders. The transportation and storage of these consignments are referred to as bio-pharma logistics. The Bio-Pharma Logistics market is expanding because of factors such as the rising bio-pharmaceutical industry and investment in logistics.

Moreover, the rising Bio-pharma industry is anticipated to create the lucrative demand for the market during forecast period. According to Statista, in 2021, the global biopharmaceutical industry attained a value of worth around USD 7.15 trillion dollars. In 2020, it was around USD 6.65 trillion. Additionally, the rising emergence of regenerative medicines and growing R&D activities by market players is anticipated to propel the lucrative opportunities for the market. However, higher operational costs hamper market growth throughout the forecast period of 2022-2029.

The key regions considered for the Global Bio-Pharma Logistics Market study include Asia Pacific, North America, Europe, Latin America, and the Rest of the World. Asia Pacific dominated the market in terms of revenue, owing to the increasing demand for biopharmaceutical medicines, growing incidences of cough, cold drugs, and gastrointestinal and dermatology products.
Whereas the Asia Pacific is expected to grow with the highest CAGR during the forecast period, owing to factors such as increasing growth across the pharmaceutical industry, and rising growth activities by market players in the forecast period.

Major market players included in this report are:
Deutsche Post DHL Group
Kuehne + Nagel
UPS (Marken)
DB Schenker
Nippon Express
World Courier
SF Express

Recent Developments in the Market:
Ø In September 2021, Nippon Express Co. Ltd announced that it is developing pharmaceutical supply chain networks that meet both hardware and software requirements for good distribution practices, allowing for a safer and more secure pharmaceutical supply.
Ø In August 2020, UPS constructed two massive freezer farms capable of super-cooling millions of vials of a COVID-19 vaccine in preparation for the day when the medicine might need to be delivered at high speed around the world.

Global Bio-Pharma Logistics Market Report Scope:
Historical Data 2019-2020-2021
Base Year for Estimation 2021
Forecast period 2022-2029
Report Coverage Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
Segments Covered Services, Type of Operation, Region
Regional Scope North America; Europe; Asia Pacific; Latin America; Rest of the World
Customization Scope Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Service:
Warehousing and Distribution
Value Added Services

By Type Of Operation:
Cold Chain
Non-cold Chain

By Region:
North America
Asia Pacific
South Korea
Latin America
Rest of the World

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2019-2029 (USD Billion)
1.2.1. Bio-Pharma Logistics Market, by Region, 2019-2029 (USD Billion)
1.2.2. Bio-Pharma Logistics Market, by Service, 2019-2029 (USD Billion)
1.2.3. Bio-Pharma Logistics Market, by Type of Operation, 2019-2029 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Bio-Pharma Logistics Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Bio-Pharma Logistics Market Dynamics
3.1. Bio-Pharma Logistics Market Impact Analysis (2019-2029)
3.1.1. Market Drivers Rising bio-pharmaceutical industry Investment in logistics
3.1.2. Market Challenges Higher operational costs
3.1.3. Market Opportunities Rising emergence of regenerative medicines Growing R&D activities by market players
Chapter 4. Global Bio-Pharma Logistics Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Futuristic Approach to Porter’s 5 Force Model (2019-2029)
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. Industry Experts Prospective
4.7. Analyst Recommendation & Conclusion
Chapter 5. Risk Assessment: COVID-19 Impact
5.1. Assessment of the overall impact of COVID-19 on the industry
5.2. Pre COVID-19 and post COVID-19 Market scenario
Chapter 6. Global Bio-Pharma Logistics Market, by Service
6.1. Market Snapshot
6.2. Global Bio-Pharma Logistics Market by Service, Performance – Potential Analysis
6.3. Global Bio-Pharma Logistics Market Estimates & Forecasts by Service 2019-2029 (USD Billion)
6.4. Bio-Pharma Logistics Market, Sub-Segment Analysis
6.4.1. Transportation
6.4.2. Warehousing and Distribution
6.4.3. Value Added Services
Chapter 7. Global Bio-Pharma Logistics Market, by Type of Operation
7.1. Market Snapshot
7.2. Global Bio-Pharma Logistics Market by Type of Operation, Performance – Potential Analysis
7.3. Global Bio-Pharma Logistics Market Estimates & Forecasts by Type of Operation 2019-2029 (USD Billion)
7.4. Bio-Pharma Logistics Market, Sub Segment Analysis
7.4.1. Cold Chain
7.4.2. Non-cold Chain
Chapter 8. Global Bio-Pharma Logistics Market, Regional Analysis
8.1. Bio-Pharma Logistics Market, Regional Market Snapshot
8.2. North America Bio-Pharma Logistics Market
8.2.1. U.S. Bio-Pharma Logistics Market Service breakdown estimates & forecasts, 2019-2029 Type of Operation breakdown estimates & forecasts, 2019-2029
8.2.2. Canada Bio-Pharma Logistics Market
8.3. Europe Bio-Pharma Logistics Market Snapshot
8.3.1. U.K. Bio-Pharma Logistics Market
8.3.2. Germany Bio-Pharma Logistics Market
8.3.3. France Bio-Pharma Logistics Market
8.3.4. Spain Bio-Pharma Logistics Market
8.3.5. Italy Bio-Pharma Logistics Market
8.3.6. Rest of Europe Bio-Pharma Logistics Market
8.4. Asia-Pacific Bio-Pharma Logistics Market Snapshot
8.4.1. China Bio-Pharma Logistics Market
8.4.2. India Bio-Pharma Logistics Market
8.4.3. Japan Bio-Pharma Logistics Market
8.4.4. Australia Bio-Pharma Logistics Market
8.4.5. South Korea Bio-Pharma Logistics Market
8.4.6. Rest of Asia Pacific Bio-Pharma Logistics Market
8.5. Latin America Bio-Pharma Logistics Market Snapshot
8.5.1. Brazil Bio-Pharma Logistics Market
8.5.2. Mexico Bio-Pharma Logistics Market
8.5.3. Rest of Latin America Bio-Pharma Logistics Market
8.6. Rest of The World Bio-Pharma Logistics Market

Chapter 9. Competitive Intelligence
9.1. Top Market Strategies
9.2. Company Profiles
9.2.1. Deutsche Post DHL Group Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
9.2.2. Kuehne + Nagel
9.2.3. UPS (Marken)
9.2.4. DB Schenker
9.2.5. FedEx
9.2.6. Nippon Express
9.2.7. World Courier
9.2.8. SF Express
9.2.9. DSV
9.2.10. CEVA
Chapter 10. Research Process
10.1. Research Process
10.1.1. Data Mining
10.1.2. Analysis
10.1.3. Market Estimation
10.1.4. Validation
10.1.5. Publishing
10.2. Research Attributes
10.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
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Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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