As Per the Report, the Size of the North America Clinical Data Analytics Market is valued at USD 4.36 billion in 2022 and estimated to be growing at a CAGR of 43.31%, to reach USD 26.33 billion by 2027 during the forecast period 2022 to 2027.
Clinical data analytics is becoming more popular as the desire for better and more cost-effective healthcare grows. Artificial Intelligence and Machine Learning are slowly but steadily making their way into the clinical data analytics business. The design phase is one of the more exciting potential uses for AI and ML in clinical trials. As far as safety is involved, the security of digital platforms and channels improves due to large amounts of money being poured into security by major market players.
Significant investments continue to flow into the healthcare industry; clinical data analytics adoption will gain popularity over the forecast period, boosting the market's growth in North America. User-reported data (what people say), task-based measurements, and passive sensing (what people do daily) aid in collecting data for clinical data analysis, helping the industry grow.
The utilization of modern technologies in the healthcare arena, such as Big data, assists medical practitioners in getting a large amount of valid medical data and records through these analytics platforms. In the market, cost-effectiveness and improved decision-making based on accessible data are highly desired. Clinical data analytics assist physicians in making decisions about their patients' care or gaining a better knowledge of their covered populations' health.
The technology can differ depending on the data involved, the users of the information, or the actions taken at the discretion of decision-makers, which include Nurses, doctors, public health officers, and other health professionals. Furthermore, the health business has a growing trend to use historical and real-time data, leading to higher predictive analytics.
The market's expansion is projected to be restricted by exorbitant prices for big data analytics. In addition, the clinical data analytics market faces several problems, including a divided end-user market and software-related privacy and security risks.
This research report on the North America Clinical Data Analytics Market has been segmented and sub-segmented into the following categories
By Deployment Model:
By End User:
North America has a significant market share worldwide because of favorable government policies and significant investments in big data analytics. During the forecast period, the market in the United States is expected to grow at the fastest rate. The substantial expansion in the US market is linked to the development of federal healthcare mandates to control rising healthcare costs, increased regulatory obligations, increasing EHR use, and expanding government efforts focusing on personalized treatment.
According to new Medicare guidelines issued by the US government (EHR), hospitals and doctors will face financial penalties under Medicare if they do not use electronic health records, according to new Medicare guidelines issued by the US government (EHR). Doctors and hospitals have been hesitant to replace paper records with electronic data, even though the United States has historically been a leader in using new technologies to treat patients.
The majority of the population in Canada has access to primary and advanced healthcare since the government funds it. Clinical data analytics is becoming more frequently employed in the region, with many companies and hospitals using it to provide the necessary help and treatment to patients.
KEY MARKET PLAYERS
Promising Companies leading the North America Clinical Data Analytics Market Profiled in the Report are IBM, CareEvolution, Intersystems, Explorys, Cerner, Caradigm, Truven Health Analytics, Wellcentive, McKesson, Athenahealth.
1.1 Market Definition
1.2 Study Deliverables
1.3 Base Currency, Base Year and Forecast Periods
1.4 General Study Assumptions
2. Research Methodology
2.2 Research Phases
2.2.1 Secondary Research
2.2.2 Primary Research
2.2.3 Econometric Modelling
2.2.4 Expert Validation
2.3 Analysis Design
2.4 Study Timeline
3.1 Executive Summary
3.2 Key Inferences
4. Drivers, Restraints, Opportunities, and Challenges Analysis (DROC)
4.1 Market Drivers
4.2 Market Restraints
4.3 Key Challenges
4.4 Current Opportunities in the Market
5. Market Segmentation
5.1 Deployment Model
5.1.4 Y-o-Y Growth Analysis, By Deployment Model
5.1.5 Market Attractiveness Analysis, By Deployment Model
5.1.6 Market Share Analysis, By Deployment Model
5.2.4 Y-o-Y Growth Analysis, By Services
5.2.5 Market Attractiveness Analysis, By Services
5.2.6 Market Share Analysis, By Services
5.3 End Use Sector
5.3.3 Healthcare Providers
5.3.6 Y-o-Y Growth Analysis, By End Use Sector
5.3.7 Market Attractiveness Analysis, By End Use Sector
5.3.8 Market Share Analysis, By End Use Sector
6. Geographical Analysis
6.1.1 Regional Trends
6.1.2 Impact Analysis
6.1.3 Y-o-Y Growth Analysis
126.96.36.199 By Geographical Area
188.8.131.52 By Deployment Model
184.108.40.206 By Services
220.127.116.11 By End Use Sector
6.1.4 Market Attractiveness Analysis
18.104.22.168 By Geographical Area
22.214.171.124 By Deployment Model
126.96.36.199 By Services
188.8.131.52 By End Use Sector
6.1.5 Market Share Analysis
184.108.40.206 By Geographical Area
220.127.116.11 By Deployment Model
18.104.22.168 By Services
22.214.171.124 By End Use Sector
6.2 United States
7.1 PESTLE analysis
7.2 Porter’s Five analysis
7.2.1 Bargaining Power of Suppliers
7.2.2 Bargaining Power of Consumers
7.2.3 Threat of New Entrants
7.2.4 Threat of Substitute Products and Services
7.2.5 Competitive Rivalry within the Industry
8.Market Leaders' Analysis
8.1.2 Product Analysis
8.1.3 Financial analysis
8.1.4 Recent Developments
8.1.5 SWOT analysis
8.1.6 Analyst View
8.8 Truven Health Analytics
9.1 Market share analysis
9.2 Merger and Acquisition Analysis
9.3 Agreements, Collaborations, and Joint Ventures
9.4 New Product Launches
10.Market Outlook and Investment Opportunities
a) List of Tables
b) List of Figures
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