Market Map | Start-ups Healthcare Transformation
Pages : 105
Publisher : APU Insights | Monitor Nexus Intelligence
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Market Map | Start-ups Healthcare Transformation
The attitude of start-up companies often differs from that of their larger competitors. big companies. Their key area of expertise is to detect small problems in life and trying to find elucidations such as better-quality health care and an improved patient experience at lower costs. Digital health start-ups, through partnerships, mergers and acquisitions, have a chance are able to raise their own digital transformation and meet a new set of challenges and opportunities. LinkDoc’s platform uses Artificial Intelligence (AI) and Big Data tools in order provide to provide better decision-making resources. Clinical electronic medical record (EMR) data can be instantaneously converted into research-data, while new platforms are able to support patients’ lives. The market of digital innovation start-ups is expected to increase over 11% CAGR (Compound Annual Growth Rate) in the 2017–2024 period, due to new technologies in care analytics and AI. In Ghana, emergency deliveries are now accessible and affordable through drone-facilitated deliveries from a variety of distribution centres. In this way, new technologies support health facilities and make it possible to reach 12 million people across 500 drone flights each day. A doctor in a hospital or clinic in a remote area simply needs to text Zipline a list of what is required and the products, which are stored at Zipline’s international distribution centres in Rwanda and Ghana, are then packaged in a small red Zipline box attached to a small parachute, which the drone then directly delivers. Verge Genomics approach uses utilizes artificial intelligence to determine which drugs have a higher likelihood of success, Verge Genomics is working on helping save lives by streamlining the medical trial process. Every year, billions of dollars are wasted on testing drugs that do not work. It is estimated that to successfully place a drug on the market, USD 1.3 billion are spent on R&D and FDA approval. It seems that start-ups revolutionize healthcare.
The attitude of start-up companies often differs from that of their larger competitors. big companies. Their key area of expertise is to detect small problems in life and trying to find elucidations such as better-quality health care and an improved patient experience at lower costs. Digital health start-ups, through partnerships, mergers and acquisitions, have a chance are able to raise their own digital transformation and meet a new set of challenges and opportunities.
LinkDoc’s platform uses Artificial Intelligence (AI) and Big Data tools in order provide to provide better decision-making resources. Clinical electronic medical record (EMR) data can be instantaneously converted into research-data, while new platforms are able to support patients’ lives. The market of digital innovation start-ups is expected to increase over 11% CAGR (Compound Annual Growth Rate) in the 2017–2024 period, due to new technologies in care analytics and AI.
In Ghana, emergency deliveries are now accessible and affordable through drone-facilitated deliveries from a variety of distribution centres. In this way, new technologies support health facilities and make it possible to reach 12 million people across 500 drone flights each day. A doctor in a hospital or clinic in a remote area simply needs to text Zipline a list of what is required and the products, which are stored at Zipline’s international distribution centres in Rwanda and Ghana, are then packaged in a small red Zipline box attached to a small parachute, which the drone then directly delivers.
Verge Genomics approach uses utilizes artificial intelligence to determine which drugs have a higher likelihood of success, Verge Genomics is working on helping save lives by streamlining the medical trial process. Every year, billions of dollars are wasted on testing drugs that do not work. It is estimated that to successfully place a drug on the market, USD 1.3 billion are spent on R&D and FDA approval. It seems that start-ups revolutionize healthcare.
Objectives and Study Scope
This study has assimilated knowledge and insight from business and subject-matter experts, and from a broad spectrum of market initiatives. Building on this research, the objectives of this market research report is to provide actionable intelligence on opportunities alongside the market size of various segments, as well as fact-based information on key factors influencing the market- growth drivers, industry-specific challenges and other critical issues in terms of detailed analysis and impact.
The report in its entirety provides a comprehensive overview of the current global condition, as well as notable opportunities and challenges.
The analysis reflects market size, latest trends, growth drivers, threats, opportunities, as well as key market segments. The study addresses market dynamics in several geographic segments along with market analysis for the current market environment and future scenario over the forecast period.
The report also segments the market into various categories based on the product, end user, application, type, and region.
The report also studies various growth drivers and restraints impacting the market, plus a comprehensive market and vendor landscape in addition to a SWOT analysis of the key players. This analysis also examines the competitive landscape within each market. Market factors are assessed by examining barriers to entry and market opportunities. Strategies adopted by key players including recent developments, new product launches, merger and acquisitions, and other insightful updates are provided.
Research Process & Methodology
We leverage extensive primary research, our contact database, knowledge of companies and industry relationships, patent and academic journal searches, and Institutes and University associate links to frame a strong visibility in the markets and technologies we cover.
We draw on available data sources and methods to profile developments. We use computerised data mining methods and analytical techniques, including cluster and regression modelling, to identify patterns from publicly available online information on enterprise web sites.
Historical, qualitative and quantitative information is obtained principally from confidential and proprietary sources, professional network, annual reports, investor relationship presentations, and expert interviews, about key factors, such as recent trends in industry performance and identify factors underlying those trends - drivers, restraints, opportunities, and challenges influencing the growth of the market, for both, the supply and demand sides.
In addition to our own desk research, various secondary sources, such as Hoovers, Dun & Bradstreet, Bloomberg BusinessWeek, Statista, are referred to identify key players in the industry, supply chain and market size, percentage shares, splits, and breakdowns into segments and subsegments with respect to individual growth trends, prospects, and contribution to the total market.
Research Portfolio Sources:
Global Business Reviews, Research Papers, Commentary & Strategy Reports
M&A and Risk Management | Regulation
The future outlook “forecast” is based on a set of statistical methods such as regression analysis, industry specific drivers as well as analyst evaluations, as well as analysis of the trends that influence economic outcomes and business decision making.
The Global Economic Model is covering the political environment, the macroeconomic environment, market opportunities, policy towards free enterprise and competition, policy towards foreign investment, foreign trade and exchange controls, taxes, financing, the labour market and infrastructure. We aim update our market forecast to include the latest market developments and trends.
Review of independent forecasts for the main macroeconomic variables by the following organizations provide a holistic overview of the range of alternative opinions:
As a result, the reported forecasts derive from different forecasters and may not represent the view of any one forecaster over the whole of the forecast period. These projections provide an indication of what is, in our view most likely to happen, not what it will definitely happen.
Short- and medium-term forecasts are based on a “demand-side” forecasting framework, under the assumption that supply adjusts to meet demand either directly through changes in output or through the depletion of inventories.
Long-term projections rely on a supply-side framework, in which output is determined by the availability of labour and capital equipment and the growth in productivity.
Long-term growth prospects, are impacted by factors including the workforce capabilities, the openness of the economy to trade, the legal framework, fiscal policy, the degree of government regulation.
Direct contribution to GDP
The method for calculating the direct contribution of an industry to GDP, is to measure its ‘gross value added’ (GVA); that is, to calculate the difference between the industry’s total pretax revenue and its total boughtin costs (costs excluding wages and salaries).
Forecasts of GDP growth: GDP = CN+IN+GS+NEX
GDP growth estimates take into account:
All relevant markets are quantified utilizing revenue figures for the forecast period. The Compound Annual Growth Rate (CAGR) within each segment is used to measure growth and to extrapolate data when figures are not publicly available.
Our market segments reflect major categories and subcategories of the global market, followed by an analysis of statistical data covering national spending and international trade relations and patterns. Market values reflect revenues paid by the final customer / end user to vendors and service providers either directly or through distribution channels, excluding VAT. Local currencies are converted to USD using the yearly average exchange rates of local currencies to the USD for the respective year as provided by the IMF World Economic Outlook Database.
Industry Life Cycle Market Phase
Market phase is determined using factors in the Industry Life Cycle model. The adapted market phase definitions are as follows:
The Global Economic Model
The Global Economic Model brings together macroeconomic and sectoral forecasts for quantifying the key relationships.
The model is a hybrid statistical model that uses macroeconomic variables and inter-industry linkages to forecast sectoral output. The model is used to forecast not just output, but prices, wages, employment and investment. The principal variables driving the industry model are the components of final demand, which directly or indirectly determine the demand facing each industry. However, other macroeconomic assumptions — in particular exchange rates, as well as world commodity prices — also enter into the equation, as well as other industry specific factors that have been or are expected to impact.
Forecasts of GDP growth per capita based on these factors can then be combined with demographic projections to give forecasts for overall GDP growth.
Wherever possible, publicly available data from ofﬁcial sources are used for the latest available year. Qualitative indicators are normalised (on the basis of: Normalised x = (x - Min(x)) / (Max(x) - Min(x)) where Min(x) and Max(x) are, the lowest and highest values for any given indicator respectively) and then aggregated across categories to enable an overall comparison. The normalised value is then transformed into a positive number on a scale of 0 to 100. The weighting assigned to each indicator can be changed to reﬂect different assumptions about their relative importance.
The principal explanatory variable in each industry’s output equation is the Total Demand variable, encompassing exogenous macroeconomic assumptions, consumer spending and investment, and intermediate demand for goods and services by sectors of the economy for use as inputs in the production of their own goods and services.
Elasticity measures the response of one economic variable to a change in another economic variable, whether the good or service is demanded as an input into a final product or whether it is the final product, and provides insight into the proportional impact of different economic actions and policy decisions.
Demand elasticities measure the change in the quantity demanded of a particular good or service as a result of changes to other economic variables, such as its own price, the price of competing or complementary goods and services, income levels, taxes.
Demand elasticities can be influenced by several factors. Each of these factors, along with the specific characteristics of the product, will interact to determine its overall responsiveness of demand to changes in prices and incomes.
The individual characteristics of a good or service will have an impact, but there are also a number of general factors that will typically affect the sensitivity of demand, such as the availability of substitutes, whereby the elasticity is typically higher the greater the number of available substitutes, as consumers can easily switch between different products.
The degree of necessity. Luxury products and habit forming ones, typically have a higher elasticity.
Proportion of the budget consumed by the item. Products that consume a large portion of the consumer’s budget tend to have greater elasticity.
Elasticities tend to be greater over the long run because consumers have more time to adjust their behaviour.
Finally, if the product or service is an input into a final product then the price elasticity will depend on the price elasticity of the final product, its cost share in the production costs, and the availability of substitutes for that good or service.
Prices are also forecast using an input-output framework. Input costs have two components; labour costs are driven by wages, while intermediate costs are computed as an input-output weighted aggregate of input sectors’ prices. Employment is a function of output and real sectoral wages, that are forecast as a function of whole economy growth in wages. Investment is forecast as a function of output and aggregate level business investment.
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