ICT Research on Big Data in the Healthcare & Pharmaceutical Industry: 2017 - 2030 - Opportunities, Challenges, Strategies & Forecasts

"Big Data in the Healthcare & Pharmaceutical Industry: 2017 - 2030 - Opportunities, Challenges, Strategies & Forecasts" The Report covers current Industries Trends, Worldwide Analysis, Global Forecast, Review, Share, Size, Growth, Effect.

Description-

“Big Data” originally emerged as a term to describe datasets whose size is beyond the ability of traditional databases to capture, store, manage and analyze. However, the scope of the term has significantly expanded over the years. Big Data not only refers to the data itself but also a set of technologies that capture, store, manage and analyze large and variable collections of data, to solve complex problems.

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Amid the proliferation of real-time and historical data from sources such as connected devices, web, social media, sensors, log files and transactional applications, Big Data is rapidly gaining traction from a diverse range of vertical sectors. The healthcare and pharmaceutical industry is no exception to this trend, where Big Data has found a host of applications ranging from drug discovery and precision medicine to clinical decision support and population health management.
SNS Research estimates that Big Data investments in the healthcare and pharmaceutical industry will account for nearly $4 Billion in 2017 alone.  Led by a plethora of business opportunities for healthcare providers, insurers, payers, government agencies, pharmaceutical companies and other stakeholders, these investments are further expected to grow at a CAGR of more than 15% over the next three years.

The “Big Data in the Healthcare & Pharmaceutical Industry: 2017 – 2030 – Opportunities, Challenges, Strategies & Forecasts” report presents an in-depth assessment of Big Data in the healthcare and pharmaceutical industry including key market drivers, challenges, investment potential, application areas, use cases, future roadmap, value chain, case studies, vendor profiles and strategies. The report also presents market size forecasts for Big Data hardware, software and professional services investments from 2017 through to 2030. The forecasts are segmented for 8 horizontal submarkets, 5 application areas, 36 use cases, 6 regions and 35 countries.

The report comes with an associated Excel datasheet suite covering quantitative data from all numeric forecasts presented in the report.

- The report covers the following topics:
 Big Data ecosystem
 Market drivers and barriers
 Enabling technologies, standardization and regulatory initiatives
 Big Data analytics and implementation models
 Business case, application areas and use cases in the healthcare and pharmaceutical industry
 34 case studies of Big Data investments by healthcare providers, insurers, payers, pharmaceutical companies and other stakeholders
 Future roadmap and value chain
 Company profiles and strategies of over 240 Big Data vendors
 Strategic recommendations for Big Data vendors, and healthcare and pharmaceutical industry stakeholders
 Market analysis and forecasts from 2017 till 2030

** Forecast Segmentation
Market forecasts are provided for each of the following submarkets and their subcategories:

- Hardware, Software & Professional Services
 Hardware
 Software
 Professional Services

- Horizontal Submarkets
 Storage & Compute Infrastructure
 Networking Infrastructure
 Hadoop & Infrastructure Software
 SQL
 NoSQL
 Analytic Platforms & Applications
 Cloud Platforms
 Professional Services

- Application Areas
 Pharmaceutical & Medical Products
 Core Healthcare Operations
 Healthcare Support, Awareness & Disease Prevention
 Health Insurance & Payer Services
 Marketing, Sales & Other Applications

- Use Cases
 Drug Discovery, Design & Development
 Medical Product Design & Development
 Clinical Development & Trials
 Precision Medicine & Genomics
 Manufacturing & Supply Chain Management
 Post-Market Surveillance & Pharmacovigilance
 Medical Product Fault Monitoring
 Clinical Decision Support
 Care Coordination & Delivery Management
 CER (Comparative Effectiveness Research) & Observational Evidence
 Personalized Healthcare & Targeted Treatments
 Data-Driven Preventive Care & Health Interventions
 Surgical Practice & Complex Medical Procedures
 Pathology, Medical Imaging & Other Medical Tests
 Proactive & Remote Patient Monitoring
 Predictive Maintenance of Medical Equipment
 Pharmacy Services
 Self-Care & Lifestyle Support
 Medication Adherence & Management
 Vaccine Development & Promotion
 Population Health Management
 Connected Health Communities & Medical Knowledge Dissemination
 Epidemiology & Disease Surveillance
 Health Policy Decision Making
 Controlling Substance Abuse & Addiction
 Increasing Awareness & Accessible Healthcare
 Health Insurance Claims Processing & Management
 Fraud & Abuse Prevention
 Proactive Patient Engagement
 Accountable & Value-Based Care
 Data-Driven Health Insurance Premiums
 Marketing & Sales
 Administrative & Customer Services
 Finance & Risk Management
 Healthcare Data Monetization
 Other Use Cases

- Regional Markets
 Asia Pacific
 Eastern Europe
 Latin & Central America
 Middle East & Africa
 North America
 Western Europe

- Country Markets
Argentina, Australia, Brazil, Canada, China, Czech Republic, Denmark, Finland, France, Germany,  India, Indonesia, Israel, Italy, Japan, Malaysia, Mexico, Netherlands, Norway, Pakistan, Philippines, Poland, Qatar, Russia, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Taiwan, Thailand, UAE, UK,  USA

- Key Questions Answered
The report provides answers to the following key questions:
 How big is the Big Data opportunity in the healthcare and pharmaceutical industry?
 How is the market evolving by segment and region?
 What will the market size be in 2020 and at what rate will it grow?
 What trends, challenges and barriers are influencing its growth?
 Who are the key Big Data software, hardware and services vendors and what are their strategies?
 How much are healthcare providers, insurers, payers, pharmaceutical companies and other stakeholders investing in Big Data?
 What opportunities exist for Big Data analytics in the healthcare and pharmaceutical industry?
 Which countries, application areas and use cases will see the highest percentage of Big Data investments in the healthcare and pharmaceutical industry?

- Key Findings
The report has the following key findings:
 In 2017, Big Data vendors will pocket nearly $4 Billion from hardware, software and professional services revenues in the healthcare and pharmaceutical industry. These investments are further expected to grow at a CAGR of more than 15% over the next three years, eventually accounting for over $5.8 Billion by the end of 2020.
 Through the use of Big Data technologies, hospitals and other healthcare facilities have been able to achieve cost reductions of more than 10%, improvements in outcomes by as much as 20% for certain conditions, growth in revenue by 30%, and increase in patient access to services by more than 35%.
 Big Data technologies are playing a pivotal role in accelerating the transition towards accountable and value-based care models, by enabling the continuous collection, consolidation and analysis of clinical and operational data from healthcare facilities and other available data sources.
 Addressing privacy and security concerns is necessary in order to fully leverage the benefits of Big Data in the healthcare and pharmaceutical industry. Therefore, it is essential for key stakeholders to make significant investments in data encryption and cybersecurity, in addition to adopting defensible de-identification techniques and implementing strict restrictions on data use.

- List of Companies Mentioned
1010data
Absolutdata
Accenture
ACR (American College of Radiology)
Actian Corporation
Adaptive Insights
Advizor Solutions
AeroSpike
Aetna
AFS Technologies
Alation
Algorithmia
Alluxio
Alphabet
Alpine Data
Alteryx
Ambient Clinical Analytics
AMD (Advanced Micro Devices)
Amino
Apixio
Arcadia Data
Arimo
ARM
ASF (Apache Software Foundation)
ASTM (American Society for Testing and Materials)
AstraZeneca
AtScale
Attivio
Attunity
Australian Digital Health Agency
Automated Insights
AWS (Amazon Web Services)
Axiomatics
Ayasdi
Bangkok Hospital Group
Basho Technologies
Bayer
BCG (Boston Consulting Group)
Bedrock Data
BetterWorks
Big Cloud Analytics
Big Panda
BigML
Birst
Bitam
Blue Medora
BlueData Software
BlueTalon
BMC Software
BOARD International
Booz Allen Hamilton
Boxever
CACI International

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