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Healthcare Automation Market Size was valued at USD 37.7 Billion in 2023 and is expected to reach USD 77.14 Billion by 2032, growing at a CAGR of 8.29% over the forecast period 2024-2032.
The report offers an overview of the key statistics and focuses on the overall adoption and transformation of the Healthcare Automation Market concerning automation technologies. It underscores the acceptance of market forces as seen in the organic rise of robotic frameworks, AI-improved diagnostics, and programmed workflows. The report looks at cost savings and efficiency improvements reducing the need for labour and increasing speed of execution and accuracy. It dives into investment trends, providing data on capital expenditures by healthcare providers and governments. It also addresses trends in compliance with regulations, tight certificates, and adherence to global health IT compliance. It explores patient outcome improvements, demonstrating how automation enhances diagnostics, reduces medication errors, and optimizes patient monitoring. This analysis offers a data-driven lens on the evolution of the market and its future potential.
Growing government investment in digital health technology is fueling the growth of the healthcare automation market. The U.S. Department of Health and Human Services, for example, urges healthcare automation to improve patient care and operational efficiency. As we embarked on the journey of modernizing healthcare IT, which comprises a part of automation solutions in healthcare, the U.S. government began investing a lot in this area in recent years. This is a trend that will continue, as the providers of health care look to improve patient outcomes better and streamline the daily routine even further. In 2023, USD 11.88 billion of North America's healthcare automation market was held by the U.S., representing a 75% share, owing to the region's advanced healthcare infrastructure and strong emphasis on technological innovation.
Market Dynamics
Drivers
The increasing adoption of automation solutions in healthcare facilities enhances work efficiency and streamlines various activities, contributing to market growth.
Automation solutions in healthcare facilities have made a significant difference when it comes to improving work efficiency and streamlining various activities for better patient care and operational effectiveness. Recent data highlights this trend, illustrating the increasing usage of sophisticated technology in the medical field. In 2024, a survey by the Medical Group Management Association (MGMA) revealed that over 43% of medical groups have added or expanded their use of artificial intelligence (AI), a substantial increase from 21% in 2023. This surge reflects the healthcare sector's intention to harness AI for tasks including diagnostics, patient monitoring, and administrative workflows.
Robotic Process Automation (RPA) has also gained traction, transforming healthcare operations by automating repetitive tasks. This technology enables healthcare professionals to focus more on patient care, and spend more time on patients, improving overall efficiency. In addition, the application of automation technologies has resulted in substantial cost reductions. According to the 2024 CAQH Index, if the current trajectory is worsened, increased adoption of electronic transactions and A.I. options could save the healthcare industry more than $20 billion as it reduces administrative burdens and improves patient care. Examples help highlight the need for automation. In the UK, the Maidstone and Tunbridge Wells NHS Trust used a real-time patient tracking system resulting in estimated annual savings of £2.1 million and improved care standards. AI-powered medical note-taking applications have also been adopted to simplify clinical documentation so that physicians can spend more time engaging with patients. These developments demonstrate that the integration of automation solutions in healthcare facilities is a key driver of enhanced efficiency, cost reduction, and improved patient outcomes.
Restraint
High initial investment costs for implementing automation technologies can be a significant barrier for healthcare providers.
The huge upfront cost of implementing automation technologies in healthcare overcomes this financial barrier. This includes purchasing advanced hardware and software, integrating them with legacy systems, staff training, and ongoing maintenance. For example, examining the data architecture of legacy hospital systems to integrate artificial intelligence (AI) can carry costs between $25,000 and $35,000. Additionally, developing middleware and application programming interfaces (APIs) to connect with medical devices may cost at least $10,000, while customizing user interfaces for AI models can add another $10,000.
In addition to these direct costs, healthcare organizations need to account for the financial hit they may take if their workflows are disrupted as they shift to these automated systems. Furthermore, the complexity of integrating new technologies with existing infrastructure can lead to unforeseen expenses and extended timelines, further straining financial resources. Additionally, the investment in specialized technical training for personnel to ensure the effective operation and maintenance of these systems contributes to the overall cost. For smaller healthcare facilities with limited budgets, these large upfront investments can be particularly intimidating and may slow the proliferation of automation technologies.
Opportunity
Advancements in artificial intelligence (AI) and robotics present opportunities for developing innovative automation solutions, such as AI-powered diagnostics and robotic surgeries, improving patient care and operational efficiency.
The fields of artificial intelligence (AI) and robotics are rapidly reshaping the healthcare landscape, providing new ways of improving patient outcomes and increasing the quality of care. As of 2021, 42% of healthcare organizations in the European Union have already implemented disease diagnosis through AI, and a further 19% plan to implement AI technologies in their healthcare organizations by the end of 2024, which translates to a projected adoption rate of over 60%. An example of this trend is Chelsea and Westminster Hospital in the UK, which has pioneered the use of an application called Derm, which uses artificial intelligence to make rapid assessments of skin cancer. This system has achieved a 99.9% accuracy rate in ruling out melanoma, significantly reducing patient waiting times and streamlining the diagnostic process.
Less controversially, adoption is also increasing in robotic-assisted surgeries. In the United States, about 15% of surgeries currently use robotic assistance, compared with about 2 percent in Europe. This is fueled by the increasing desire for high-precision, minimally invasive interventions which can lead to shorter recovery times and better surgical results. The da Vinci Surgical System, for example, has been adopted for use by many hospitals, with more than 7,500 units having been installed worldwide by the end of 2022 enabling more than 11 million robotic-assisted surgeries. This technological innovation indeed has immense potential for growth in the healthcare automation market, as AI and Robotics make a mark in the field of diagnosis and surgery, thereby improving patient outcomes and operational efficiencies.
Challenge:
Concerns regarding data security and patient privacy remain critical challenges in the widespread adoption of healthcare automation technologies.
The integration of automation technologies in healthcare has significantly enhanced operational efficiency and patient care. However, it has also introduced substantial challenges related to data security and patient privacy. In 2024, the healthcare sector experienced 386 cyber-attacks, maintaining the elevated rate observed in 2023, which was the worst year on record for breaches in healthcare. These breaches compromised sensitive patient information, including medical records and personal identifiers, leading to financial losses and erosion of trust in healthcare institutions. Financially, the impact is profound; in 2024, the average cost of a data breach in the healthcare sector was $9.77 million, marking the 14th consecutive year that healthcare has topped the list of the most expensive data breaches across all business sectors. These statistics underscore the critical need for robust cybersecurity measures and comprehensive risk management strategies to protect patient data in an increasingly digital healthcare environment.
By Application
Therapeutic automation held the largest share 55% in 2023. Several factors influence this supremacy in medical robotics, along with growing chronic disease rates. It has been complemented by government initiatives aimed at improving healthcare infrastructure and making it more affordable. For instance, the increased adoption of therapeutic automation technologies is driven by the U.S. statement on precision medicine and personalized healthcare. They allow for more accurate and efficient treatment alternatives, which are vital in the effective management of chronic diseases. Furthermore, by minimizing the risk of manual errors and optimizing the use of resources, therapeutic automation contributes to reducing healthcare costs, aligning with government objectives of making healthcare more affordable and accessible.
The rise of therapeutic automation is complemented by advancements in smart wearables/personalized medicine expected to take off over the next few years. This technology's therapeutic application optimizes patient treatment while improving surgical results. Moreover, government funding for research in medical technologies has been instrumental in driving innovation in this segment.
By End User
In 2023, the research institutes & labs segment captured the largest share of 52.3%. This is in large part because these institutions are vital to the development and testing of new medical technologies. Much of this acceleration was made possible by government funding of research and development in health care. For example, in the U.S., the National Institutes of Health (NIH) overwhelmingly gives grants for medical research, which frequently incorporates automated systems used for data analysis and clinical trials. These automated machines improve the precision and speed of research processes and provide innovations in medicine.
Moreover, research institutes automate laboratory operations that help improve healthcare technologies. The integration of AI and automation in labs helps manage increased workloads and ensures precise results, contributing to advancements in personalized medicine and drug discovery.
Regional Analysis
In 2023, North America accounted for the largest share 42% of the healthcare automation market, owing to its advanced healthcare infrastructure and substantial investments in healthcare technology. Advanced healthcare automation solutions have been rapidly adopted in the US specifically due to government initiatives and healthcare expenditure. The Asia-Pacific region is experiencing the fastest compound annual growth rate (CAGR), fuelled by rising government expenditure on healthcare infrastructure as well as demand for efficient healthcare services. The majority of the market share in 2023 for this region was a reflection of its potential for future growth. Countries like China, Japan, and India are making significant investments in healthcare automation, with China's market is growing significantly, The Indian healthcare automation market is expanding rapidly, with a significant CAGR, driven by rising healthcare investments and infrastructure development. Strategic partnerships, acquisitions, and investments in new production facilities are also driving the growth of the Asia-Pacific region. Healthcare providers are beginning to recognize robotic surgery and AI POC diagnostics as a means to reduce costs and improve efficiency.
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Key Service Providers/Manufacturers
Siemens Healthineers (ADVIA Chemistry Systems, Atellica Solution)
GE Healthcare (Centricity™ Clinical Archive, LOGIQ E10 Ultrasound)
Koninklijke Philips N.V. (IntelliVue Patient Monitors, Azurion Image-Guided Therapy System)
Medtronic plc (MiniMed™ 780G Insulin Pump, Mazor X™ Robotic Guidance System)
Intuitive Surgical (da Vinci Surgical System, Ion Endoluminal System)
Stryker Corporation (Mako Robotic-Arm Assisted Surgery System, SurgiCount Safety-Sponge System)
Danaher Corporation (DxH 900 Hematology Analyzer, Cepheid GeneXpert System)
Tecan Group (Fluent® Laboratory Automation Solution, Spark® Multimode Microplate Reader)
Epic Systems Corporation (EpicCare Electronic Health Record (EHR), MyChart Patient Portal)
Cerner Corporation (Millennium EHR, CareAware Connectivity Platform)
Allscripts Healthcare Solutions (Sunrise EHR, Practice Fusion)
McKesson Corporaton (Paragon® Hospital Information System, RelayHealth Pharmacy Solutions)
IBM Watson Health (Merge PACS, Micromedex Solutions)
Omnicell (XT Automated Dispensing Systems, Central Pharmacy Automation)
UiPath (UiPath Studio, UiPath Orchestrator)
FlowForma (FlowForma Process Automation, FlowForma Mobile App)
Kissflow (Kissflow Workflow, Kissflow Digital Workplace)
ProcessMaker (ProcessMaker Platform, ProcessMaker I/O)
Nintex (Nintex Workflow Cloud, Nintex RPA)
monday.com (monday.com Work OS, monday.com Sales CRM)
Recent Developments
In late 2023, Babson Diagnostics obtained FDA clearance for its BD MiniDraw Capillary Blood Collection System, which was a considerable advancement in small-sample blood testing.
In November 2023, qBotica acquired Healthomation, expanding its healthcare automation offerings. The acquisition brings together AI and machine learning expertise in an effort to streamline healthcare operations and enhance patient care.
Healthcare Automation Market Report Scope
| Report Attributes | Details |
|---|---|
| Market Size in 2023 | USD 37.7 Billion |
| Market Size by 2032 | USD 77.14 Billion |
| CAGR | CAGR of 8.29% From 2024 to 2032 |
| Base Year | 2023 |
| Forecast Period | 2024-2032 |
| Historical Data | 2020-2022 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Application (Therapeutic Automation, Lab & Pharmacy Automation, Diagnostics & Monitoring Automation, Logistics & Training Automation) • By End-user (Pharmacies, Home Care, Research Institutes & Labs, Others) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia, Rest of Latin America) |
| Company Profiles | Siemens Healthineers, GE Healthcare, Koninklijke Philips N.V., Medtronic plc, Intuitive Surgical, Stryker Corporation, Danaher Corporation, Tecan Group, Epic Systems Corporation, Cerner Corporation, Allscripts Healthcare Solutions, McKesson Corporation, IBM Watson Health, Omnicell, UiPath, FlowForma, Kissflow, ProcessMaker, Nintex, monday.com |
Ans. The projected market size for the Healthcare Automation Market is USD 77.14 Billion by 2032.
Ans: The North American region dominated the Healthcare Automation Market in 2023.
Ans. The CAGR of the Healthcare Automation Market is 8.29% During the forecast period of 2024-2032.
Ans:
Ans: The Research Institutes & Labs segment dominated the Healthcare Automation Market.
Table of Content
1. Introduction
1.1 Market Definition
1.2 Scope (Inclusion and Exclusions)
1.3 Research Assumptions
2. Executive Summary
2.1 Market Overview
2.2 Regional Synopsis
2.3 Competitive Summary
3. Research Methodology
3.1 Top-Down Approach
3.2 Bottom-up Approach
3.3. Data Validation
3.4 Primary Interviews
4. Market Dynamics Impact Analysis
4.1 Market Driving Factors Analysis
4.1.2 Drivers
4.1.2 Restraints
4.1.3 Opportunities
4.1.4 Challenges
4.2 PESTLE Analysis
4.3 Porter’s Five Forces Model
5. Statistical Insights and Trends Reporting
5.1 Automated Device and System Deployment (2023)
5.2 Cost Reduction and Efficiency Gains (2023)
5.3 Investment in Healthcare Automation (2023)
5.4 Regulatory and Compliance Trends (2023)
5.5 Patient Outcome Improvements (2023)
6. Competitive Landscape
6.1 List of Major Companies, By Region
6.2 Market Share Analysis, By Region
6.3 Product Benchmarking
6.3.1 Product specifications and features
6.3.2 Pricing
6.4 Strategic Initiatives
6.4.1 Marketing and promotional activities
6.4.2 Distribution and supply chain strategies
6.4.3 Expansion plans and new product launches
6.4.4 Strategic partnerships and collaborations
6.5 Technological Advancements
6.6 Market Positioning and Branding
7. Healthcare Automation Market Segmentation, By Application
7.1 Chapter Overview
7.2 Therapeutic Automation
7.2.1 Therapeutic Automation Market Trends Analysis (2020-2032)
7.2.2 Therapeutic Automation Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3 Lab & Pharmacy Automation
7.3.1 Lab & Pharmacy Automation Market Trends Analysis (2020-2032)
7.3.2 Lab & Pharmacy Automation Market Size Estimates and Forecasts to 2032 (USD Billion)
7.4 Diagnostics & Monitoring Automation
7.4.1 Diagnostics & Monitoring Automation Market Trends Analysis (2020-2032)
7.4.2 Diagnostics & Monitoring Automation Market Size Estimates and Forecasts to 2032 (USD Billion)
7.5 Logistics & Training Automation
7.5.1 Logistics & Training Automation Market Trends Analysis (2020-2032)
7.5.2 Logistics & Training Automation Market Size Estimates and Forecasts to 2032 (USD Billion)
8. Healthcare Automation Market Segmentation, By End-user
8.1 Chapter Overview
8.2 Pharmacies
8.2.1 Pharmacies Market Trends Analysis (2020-2032)
8.2.2 Pharmacies Market Size Estimates and Forecasts to 2032 (USD Billion)
8.3 Home Care
8.3.1 Home Care Market Trends Analysis (2020-2032)
8.3.2 Home Care Market Size Estimates and Forecasts to 2032 (USD Billion)
8.4 Research Institutes & Labs
8.4.1 Research Institutes & Labs Market Trends Analysis (2020-2032)
8.4.2 Research Institutes & Labs Market Size Estimates and Forecasts to 2032 (USD Billion)
8.5 Others
8.5.1 Others Market Trends Analysis (2020-2032)
8.5.2 Others Market Size Estimates and Forecasts to 2032 (USD Billion)
9. Regional Analysis
9.1 Chapter Overview
9.2 North America
9.2.1 Trends Analysis
9.2.2 North America Healthcare Automation Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
9.2.3 North America Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.2.4 North America Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
9.2.5 USA
9.2.5.1 USA Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.2.5.2 USA Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
9.2.6 Canada
9.2.6.1 Canada Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.2.6.2 Canada Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
9.2.7 Mexico
9.2.7.1 Mexico Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.2.7.2 Mexico Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
9.3 Europe
9.3.1 Eastern Europe
9.3.1.1 Trends Analysis
9.3.1.2 Eastern Europe Healthcare Automation Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
9.3.1.3 Eastern Europe Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.3.1.4 Eastern Europe Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
9.3.1.5 Poland
9.3.1.5.1 Poland Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.3.1.5.2 Poland Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
9.3.1.6 Romania
9.3.1.6.1 Romania Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.3.1.6.2 Romania Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
9.3.1.7 Hungary
9.3.1.7.1 Hungary Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.3.1.7.2 Hungary Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
9.3.1.8 Turkey
9.3.1.8.1 Turkey Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.3.1.8.2 Turkey Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
9.3.1.9 Rest of Eastern Europe
9.3.1.9.1 Rest of Eastern Europe Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.3.1.9.2 Rest of Eastern Europe Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
9.3.2 Western Europe
9.3.2.1 Trends Analysis
9.3.2.2 Western Europe Healthcare Automation Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
9.3.2.3 Western Europe Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.3.2.4 Western Europe Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
9.3.2.5 Germany
9.3.2.5.1 Germany Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.3.2.5.2 Germany Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
9.3.2.6 France
9.3.2.6.1 France Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.3.2.6.2 France Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
9.3.2.7 UK
9.3.2.7.1 UK Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.3.2.7.2 UK Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
9.3.2.8 Italy
9.3.2.8.1 Italy Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.3.2.8.2 Italy Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
9.3.2.9 Spain
9.3.2.9.1 Spain Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.3.2.9.2 Spain Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
9.3.2.10 Netherlands
9.3.2.10.1 Netherlands Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.3.2.10.2 Netherlands Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
9.3.2.11 Switzerland
9.3.2.11.1 Switzerland Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.3.2.11.2 Switzerland Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
9.3.2.12 Austria
9.3.2.12.1 Austria Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.3.2.12.2 Austria Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
9.3.2.13 Rest of Western Europe
9.3.2.13.1 Rest of Western Europe Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.3.2.13.2 Rest of Western Europe Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
9.4 Asia Pacific
9.4.1 Trends Analysis
9.4.2 Asia Pacific Healthcare Automation Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
9.4.3 Asia Pacific Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.4.4 Asia Pacific Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
9.4.5 China
9.4.5.1 China Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.4.5.2 China Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
9.4.6 India
9.4.5.1 India Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.4.5.2 India Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
9.4.5 Japan
9.4.5.1 Japan Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.4.5.2 Japan Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
9.4.6 South Korea
9.4.6.1 South Korea Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.4.6.2 South Korea Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
9.4.7 Vietnam
9.4.7.1 Vietnam Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.2.7.2 Vietnam Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
9.4.8 Singapore
9.4.8.1 Singapore Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.4.8.2 Singapore Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
9.4.9 Australia
9.4.9.1 Australia Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.4.9.2 Australia Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
9.4.10 Rest of Asia Pacific
9.4.10.1 Rest of Asia Pacific Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.4.10.2 Rest of Asia Pacific Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
9.5 Middle East and Africa
9.5.1 Middle East
9.5.1.1 Trends Analysis
9.5.1.2 Middle East Healthcare Automation Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
9.5.1.3 Middle East Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.5.1.4 Middle East Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
9.5.1.5 UAE
9.5.1.5.1 UAE Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.5.1.5.2 UAE Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
9.5.1.6 Egypt
9.5.1.6.1 Egypt Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.5.1.6.2 Egypt Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
9.5.1.7 Saudi Arabia
9.5.1.7.1 Saudi Arabia Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.5.1.7.2 Saudi Arabia Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
9.5.1.8 Qatar
9.5.1.8.1 Qatar Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.5.1.8.2 Qatar Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
9.5.1.9 Rest of Middle East
9.5.1.9.1 Rest of Middle East Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.5.1.9.2 Rest of Middle East Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
9.5.2 Africa
9.5.2.1 Trends Analysis
9.5.2.2 Africa Healthcare Automation Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
9.5.2.3 Africa Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.5.2.4 Africa Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
9.5.2.5 South Africa
9.5.2.5.1 South Africa Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.5.2.5.2 South Africa Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
9.5.2.6 Nigeria
9.5.2.6.1 Nigeria Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.5.2.6.2 Nigeria Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
9.5.2.7 Rest of Africa
9.5.2.7.1 Rest of Africa Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.5.2.7.2 Rest of Africa Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
9.6 Latin America
9.6.1 Trends Analysis
9.6.2 Latin America Healthcare Automation Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
9.6.3 Latin America Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.6.4 Latin America Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
9.6.5 Brazil
9.6.5.1 Brazil Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.6.5.2 Brazil Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
9.6.6 Argentina
9.6.6.1 Argentina Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.6.6.2 Argentina Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
9.6.7 Colombia
9.6.7.1 Colombia Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.6.7.2 Colombia Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
9.6.8 Rest of Latin America
9.6.8.1 Rest of Latin America Healthcare Automation Market Estimates and Forecasts, By Application (2020-2032) (USD Billion)
9.6.8.2 Rest of Latin America Healthcare Automation Market Estimates and Forecasts, By End-user (2020-2032) (USD Billion)
10. Company Profiles
10.1 Siemens Healthineers
10.1.1 Company Overview
10.1.2 Financial
10.1.3 Products/ Services Offered
110.1.4 SWOT Analysis
10.2 GE Healthcare
10.2.1 Company Overview
10.2.2 Financial
10.2.3 Products/ Services Offered
10.2.4 SWOT Analysis
10.3 Koninklijke Philips N.V.
10.3.1 Company Overview
10.3.2 Financial
10.3.3 Products/ Services Offered
10.3.4 SWOT Analysis
10.4 Medtronic plc
10.4.1 Company Overview
10.4.2 Financial
10.4.3 Products/ Services Offered
10.4.4 SWOT Analysis
10.5 Intuitive Surgical
10.5.1 Company Overview
10.5.2 Financial
10.5.3 Products/ Services Offered
10.5.4 SWOT Analysis
10.6 Stryker Corporation
10.6.1 Company Overview
10.6.2 Financial
10.6.3 Products/ Services Offered
10.6.4 SWOT Analysis
10.7 Danaher Corporation
10.7.1 Company Overview
10.7.2 Financial
10.7.3 Products/ Services Offered
10.7.4 SWOT Analysis
10.8 Tecan Group
10.8.1 Company Overview
10.8.2 Financial
10.8.3 Products/ Services Offered
10.8.4 SWOT Analysis
10.9 Epic Systems Corporation
10.9.1 Company Overview
10.9.2 Financial
10.9.3 Products/ Services Offered
10.9.4 SWOT Analysis
10.10 Cerner Corporation
10.9.1 Company Overview
10.9.2 Financial
10.9.3 Products/ Services Offered
10.9.4 SWOT Analysis
11. Use Cases and Best Practices
12. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
Key Segments:
By Application
Therapeutic Automation
Lab & Pharmacy Automation
Diagnostics & Monitoring Automation
Logistics & Training Automation
By End-user
Pharmacies
Home Care
Research Institutes & Labs
Others
Request for Segment Customization as per your Business Requirement: Segment Customization Request
Regional Coverage:
North America
Europe
Asia Pacific
Middle East & Africa
Latin America
Request for Country Level Research Report: Country Level Customization Request
Available Customization
With the given market data, SNS Insider offers customization as per the company’s specific needs. The following customization options are available for the report:
Detailed Volume Analysis
Criss-Cross segment analysis (e.g. Product X Application)
Competitive Product Benchmarking
Geographic Analysis
Additional countries in any of the regions
Customized Data Representation
Detailed analysis and profiling of additional market players
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