Latest Update: Impact of current COVID-19 situation has been considered in this report while making the analysis.
Global Intelligent and Health Care for the Old Market by Type (Community Cloud, Insurance Cloud, Service Cloud, Medical Cloud, Other), By Application (Complete Self-Care Ability, Incompletion Self-Care Ability, Unable Self-Care) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030-report

Global Intelligent and Health Care for the Old Market by Type (Community Cloud, Insurance Cloud, Service Cloud, Medical Cloud, Other), By Application (Complete Self-Care Ability, Incompletion Self-Care Ability, Unable Self-Care) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030

Report ID: 249147 4200 Service & Software 377 131 Pages 4.6 (32)
                                          

Market Overview:


The global intelligent and health care for the old market is expected to grow at a CAGR of 16.8% from 2018 to 2030. The market growth is attributed to the increasing geriatric population, rising demand for home-based healthcare services, and technological advancements in the healthcare sector. The community cloud segment is expected to grow at a CAGR of 17.5% from 2018 to 2030 due to the increasing demand for remote patient monitoring services and telemedicine services. The insurance cloud segment is projected to grow at a CAGR of 16.7% from 2018to 2030 due its abilityto provide real-time information on insurance claims and fraud detection activities.


Global Intelligent and Health Care for the Old Industry Outlook


Product Definition:


Intelligent and health care for the old is important because it can help improve the quality of life for seniors. It can also help to prevent or delay the onset of conditions that are common in older adults.


Community Cloud:


The community cloud is a part of the public sector, which includes government data centers and other shared resources. It is also known as the utility cloud or social cloud. The growth factor in this market can be attributed to factors such as increasing demand for big data analytics, growing adoption of artificial intelligence (AI), and rapid increase in internet penetration across the globe.


Insurance Cloud:


Insurance cloud is a new term in the insurance industry. It's basically a platform that enables insurers to sell their products and services online. The key drivers for this market are increasing demand for digitalization, reduction of operational costs, and growing need to provide better customer service.


Application Insights:


In terms of revenue, the unable self-care application segment dominated the market with a share of over 25.0% in 2017. This is attributed to an increase in geriatric population across the globe and rising awareness about healthcare issues among them. According to data published by United Nations, it has been estimated that by 2050, there will be more than 70 million people aged 85 or above living in Europe and North America combined. Such a scenario increases chances of becoming dependent on others for daily activities such as bathing, dressing etc., which results in incontinence cases like urinary frequency and accidents during daytime hours leading to embarrassment for patients as well as medical complications due to loss of privacy. Thus, intelligent healthcare services help avoid such situations through constant monitoring supported by artificial intelligence (AI).


Regional Analysis:


North America dominated the market in 2017 owing to the presence of a large geriatric population and increasing adoption of intelligent devices. The region is expected to maintain its dominance over the forecast period due to factors such as favorable government policies, technological advancements, and high disposable income. Moreover, rising awareness about healthcare IT services is anticipated to propel regional growth.


Asia Pacific is projected to grow at a lucrative rate during the forecast period owing to factors such as improving healthcare infrastructure and growing demand for consumer-driven health solutions from countries like Japan and China. In addition, economic development in these regions has led consumers thereto avail various advanced medical treatments not available in their home country; this factor will also contribute toward future growth prospects of this market space during the estimated time span.


Growth Factors:


  • Increasing life expectancy and the growth of the elderly population
  • The increasing prevalence of chronic diseases
  • Advances in technology and data analytics that enable more effective care for the elderly
  • Growing demand from consumers for more personalized, preventive health care services
  • Increased focus on value-based care delivery models that reward quality outcomes over volume

Scope Of The Report

Report Attributes

Report Details

Report Title

Intelligent and Health Care for the Old Market Research Report

By Type

Community Cloud, Insurance Cloud, Service Cloud, Medical Cloud, Other

By Application

Complete Self-Care Ability, Incompletion Self-Care Ability, Unable Self-Care

By Companies

Hitachi, SenseTime, Yanhuang Chuangxin, JEC, PIETY-CHINA, Kangjia Keji, Zhongke Hengyun, Hightop, Ankangtong, ThinkRace, AVNET

Regions Covered

North America, Europe, APAC, Latin America, MEA

Base Year

2021

Historical Year

2019 to 2020 (Data from 2010 can be provided as per availability)

Forecast Year

2030

Number of Pages

131

Number of Tables & Figures

92

Customization Available

Yes, the report can be customized as per your need.


Global Intelligent and Health Care for the Old Market Report Segments:

The global Intelligent and Health Care for the Old market is segmented on the basis of:

Types

Community Cloud, Insurance Cloud, Service Cloud, Medical Cloud, Other

The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.

Applications

Complete Self-Care Ability, Incompletion Self-Care Ability, Unable Self-Care

The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.

Some of the companies that are profiled in this report are:

  1. Hitachi
  2. SenseTime
  3. Yanhuang Chuangxin
  4. JEC
  5. PIETY-CHINA
  6. Kangjia Keji
  7. Zhongke Hengyun
  8. Hightop
  9. Ankangtong
  10. ThinkRace
  11. AVNET

Global Intelligent and Health Care for the Old Market Overview


Highlights of The Intelligent and Health Care for the Old Market Report:

  1. The market structure and projections for the coming years.
  2. Drivers, restraints, opportunities, and current trends of market.
  3. Historical data and forecast.
  4. Estimations for the forecast period 2030.
  5. Developments and trends in the market.
  6. By Type:

    1. Community Cloud
    2. Insurance Cloud
    3. Service Cloud
    4. Medical Cloud
    5. Other
  1. By Application:

    1. Complete Self-Care Ability
    2. Incompletion Self-Care Ability
    3. Unable Self-Care
  1. Market scenario by region, sub-region, and country.
  2. Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
  3. Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
  4. Government Policies, Macro & Micro economic factors are also included in the report.

We have studied the Intelligent and Health Care for the Old Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.

Regional Analysis

  • North America
  • Europe
  • Asia Pacific
  • Middle East & Africa
  • Latin America

Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.

The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.

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Global Intelligent and Health Care for the Old Market Statistics

8 Reasons to Buy This Report

  1. Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
  2. Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
  3. Implemented Robust Methodology to Prepare the Report
  4. Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
  5. Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
  6. Provides Information About the Top-winning Strategies Implemented by Industry Players.
  7. In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
  8. Customization of the Report Available

Frequently Asked Questions?


Some of the major companies in the intelligent and health care for the old market are Hitachi, SenseTime, Yanhuang Chuangxin, JEC, PIETY-CHINA, Kangjia Keji, Zhongke Hengyun, Hightop, Ankangtong, ThinkRace, AVNET.

The intelligent and health care for the old market is expected to register a CAGR of 16.8%.

                                            
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Intelligent and Health Care for the Old Market Overview    4.1 Introduction       4.1.1 Market Taxonomy       4.1.2 Market Definition       4.1.3 Macro-Economic Factors Impacting the Market Growth    4.2 Intelligent and Health Care for the Old Market Dynamics       4.2.1 Market Drivers       4.2.2 Market Restraints       4.2.3 Market Opportunity    4.3 Intelligent and Health Care for the Old Market - Supply Chain Analysis       4.3.1 List of Key Suppliers       4.3.2 List of Key Distributors       4.3.3 List of Key Consumers    4.4 Key Forces Shaping the Intelligent and Health Care for the Old Market       4.4.1 Bargaining Power of Suppliers       4.4.2 Bargaining Power of Buyers       4.4.3 Threat of Substitution       4.4.4 Threat of New Entrants       4.4.5 Competitive Rivalry    4.5 Global Intelligent and Health Care for the Old Market Size & Forecast, 2018-2028       4.5.1 Intelligent and Health Care for the Old Market Size and Y-o-Y Growth       4.5.2 Intelligent and Health Care for the Old Market Absolute $ Opportunity

Chapter 5 Global Intelligent and Health Care for the Old Market Analysis and Forecast by Type
   5.1 Introduction
      5.1.1 Key Market Trends & Growth Opportunities by Type
      5.1.2 Basis Point Share (BPS) Analysis by Type
      5.1.3 Absolute $ Opportunity Assessment by Type
   5.2 Intelligent and Health Care for the Old Market Size Forecast by Type
      5.2.1 Community Cloud
      5.2.2 Insurance Cloud
      5.2.3 Service Cloud
      5.2.4 Medical Cloud
      5.2.5 Other
   5.3 Market Attractiveness Analysis by Type

Chapter 6 Global Intelligent and Health Care for the Old Market Analysis and Forecast by Applications
   6.1 Introduction
      6.1.1 Key Market Trends & Growth Opportunities by Applications
      6.1.2 Basis Point Share (BPS) Analysis by Applications
      6.1.3 Absolute $ Opportunity Assessment by Applications
   6.2 Intelligent and Health Care for the Old Market Size Forecast by Applications
      6.2.1 Complete Self-Care Ability
      6.2.2 Incompletion Self-Care Ability
      6.2.3 Unable Self-Care
   6.3 Market Attractiveness Analysis by Applications

Chapter 7 Global Intelligent and Health Care for the Old Market Analysis and Forecast by Region
   7.1 Introduction
      7.1.1 Key Market Trends & Growth Opportunities by Region
      7.1.2 Basis Point Share (BPS) Analysis by Region
      7.1.3 Absolute $ Opportunity Assessment by Region
   7.2 Intelligent and Health Care for the Old Market Size Forecast by Region
      7.2.1 North America
      7.2.2 Europe
      7.2.3 Asia Pacific
      7.2.4 Latin America
      7.2.5 Middle East & Africa (MEA)
   7.3 Market Attractiveness Analysis by Region

Chapter 8 Coronavirus Disease (COVID-19) Impact 
   8.1 Introduction 
   8.2 Current & Future Impact Analysis 
   8.3 Economic Impact Analysis 
   8.4 Government Policies 
   8.5 Investment Scenario

Chapter 9 North America Intelligent and Health Care for the Old Analysis and Forecast
   9.1 Introduction
   9.2 North America Intelligent and Health Care for the Old Market Size Forecast by Country
      9.2.1 U.S.
      9.2.2 Canada
   9.3 Basis Point Share (BPS) Analysis by Country
   9.4 Absolute $ Opportunity Assessment by Country
   9.5 Market Attractiveness Analysis by Country
   9.6 North America Intelligent and Health Care for the Old Market Size Forecast by Type
      9.6.1 Community Cloud
      9.6.2 Insurance Cloud
      9.6.3 Service Cloud
      9.6.4 Medical Cloud
      9.6.5 Other
   9.7 Basis Point Share (BPS) Analysis by Type 
   9.8 Absolute $ Opportunity Assessment by Type 
   9.9 Market Attractiveness Analysis by Type
   9.10 North America Intelligent and Health Care for the Old Market Size Forecast by Applications
      9.10.1 Complete Self-Care Ability
      9.10.2 Incompletion Self-Care Ability
      9.10.3 Unable Self-Care
   9.11 Basis Point Share (BPS) Analysis by Applications 
   9.12 Absolute $ Opportunity Assessment by Applications 
   9.13 Market Attractiveness Analysis by Applications

Chapter 10 Europe Intelligent and Health Care for the Old Analysis and Forecast
   10.1 Introduction
   10.2 Europe Intelligent and Health Care for the Old Market Size Forecast by Country
      10.2.1 Germany
      10.2.2 France
      10.2.3 Italy
      10.2.4 U.K.
      10.2.5 Spain
      10.2.6 Russia
      10.2.7 Rest of Europe
   10.3 Basis Point Share (BPS) Analysis by Country
   10.4 Absolute $ Opportunity Assessment by Country
   10.5 Market Attractiveness Analysis by Country
   10.6 Europe Intelligent and Health Care for the Old Market Size Forecast by Type
      10.6.1 Community Cloud
      10.6.2 Insurance Cloud
      10.6.3 Service Cloud
      10.6.4 Medical Cloud
      10.6.5 Other
   10.7 Basis Point Share (BPS) Analysis by Type 
   10.8 Absolute $ Opportunity Assessment by Type 
   10.9 Market Attractiveness Analysis by Type
   10.10 Europe Intelligent and Health Care for the Old Market Size Forecast by Applications
      10.10.1 Complete Self-Care Ability
      10.10.2 Incompletion Self-Care Ability
      10.10.3 Unable Self-Care
   10.11 Basis Point Share (BPS) Analysis by Applications 
   10.12 Absolute $ Opportunity Assessment by Applications 
   10.13 Market Attractiveness Analysis by Applications

Chapter 11 Asia Pacific Intelligent and Health Care for the Old Analysis and Forecast
   11.1 Introduction
   11.2 Asia Pacific Intelligent and Health Care for the Old Market Size Forecast by Country
      11.2.1 China
      11.2.2 Japan
      11.2.3 South Korea
      11.2.4 India
      11.2.5 Australia
      11.2.6 South East Asia (SEA)
      11.2.7 Rest of Asia Pacific (APAC)
   11.3 Basis Point Share (BPS) Analysis by Country
   11.4 Absolute $ Opportunity Assessment by Country
   11.5 Market Attractiveness Analysis by Country
   11.6 Asia Pacific Intelligent and Health Care for the Old Market Size Forecast by Type
      11.6.1 Community Cloud
      11.6.2 Insurance Cloud
      11.6.3 Service Cloud
      11.6.4 Medical Cloud
      11.6.5 Other
   11.7 Basis Point Share (BPS) Analysis by Type 
   11.8 Absolute $ Opportunity Assessment by Type 
   11.9 Market Attractiveness Analysis by Type
   11.10 Asia Pacific Intelligent and Health Care for the Old Market Size Forecast by Applications
      11.10.1 Complete Self-Care Ability
      11.10.2 Incompletion Self-Care Ability
      11.10.3 Unable Self-Care
   11.11 Basis Point Share (BPS) Analysis by Applications 
   11.12 Absolute $ Opportunity Assessment by Applications 
   11.13 Market Attractiveness Analysis by Applications

Chapter 12 Latin America Intelligent and Health Care for the Old Analysis and Forecast
   12.1 Introduction
   12.2 Latin America Intelligent and Health Care for the Old Market Size Forecast by Country
      12.2.1 Brazil
      12.2.2 Mexico
      12.2.3 Rest of Latin America (LATAM)
   12.3 Basis Point Share (BPS) Analysis by Country
   12.4 Absolute $ Opportunity Assessment by Country
   12.5 Market Attractiveness Analysis by Country
   12.6 Latin America Intelligent and Health Care for the Old Market Size Forecast by Type
      12.6.1 Community Cloud
      12.6.2 Insurance Cloud
      12.6.3 Service Cloud
      12.6.4 Medical Cloud
      12.6.5 Other
   12.7 Basis Point Share (BPS) Analysis by Type 
   12.8 Absolute $ Opportunity Assessment by Type 
   12.9 Market Attractiveness Analysis by Type
   12.10 Latin America Intelligent and Health Care for the Old Market Size Forecast by Applications
      12.10.1 Complete Self-Care Ability
      12.10.2 Incompletion Self-Care Ability
      12.10.3 Unable Self-Care
   12.11 Basis Point Share (BPS) Analysis by Applications 
   12.12 Absolute $ Opportunity Assessment by Applications 
   12.13 Market Attractiveness Analysis by Applications

Chapter 13 Middle East & Africa (MEA) Intelligent and Health Care for the Old Analysis and Forecast
   13.1 Introduction
   13.2 Middle East & Africa (MEA) Intelligent and Health Care for the Old Market Size Forecast by Country
      13.2.1 Saudi Arabia
      13.2.2 South Africa
      13.2.3 UAE
      13.2.4 Rest of Middle East & Africa (MEA)
   13.3 Basis Point Share (BPS) Analysis by Country
   13.4 Absolute $ Opportunity Assessment by Country
   13.5 Market Attractiveness Analysis by Country
   13.6 Middle East & Africa (MEA) Intelligent and Health Care for the Old Market Size Forecast by Type
      13.6.1 Community Cloud
      13.6.2 Insurance Cloud
      13.6.3 Service Cloud
      13.6.4 Medical Cloud
      13.6.5 Other
   13.7 Basis Point Share (BPS) Analysis by Type 
   13.8 Absolute $ Opportunity Assessment by Type 
   13.9 Market Attractiveness Analysis by Type
   13.10 Middle East & Africa (MEA) Intelligent and Health Care for the Old Market Size Forecast by Applications
      13.10.1 Complete Self-Care Ability
      13.10.2 Incompletion Self-Care Ability
      13.10.3 Unable Self-Care
   13.11 Basis Point Share (BPS) Analysis by Applications 
   13.12 Absolute $ Opportunity Assessment by Applications 
   13.13 Market Attractiveness Analysis by Applications

Chapter 14 Competition Landscape 
   14.1 Intelligent and Health Care for the Old Market: Competitive Dashboard
   14.2 Global Intelligent and Health Care for the Old Market: Market Share Analysis, 2019
   14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy) 
      14.3.1 Hitachi
      14.3.2 SenseTime
      14.3.3 Yanhuang Chuangxin
      14.3.4 JEC
      14.3.5 PIETY-CHINA
      14.3.6 Kangjia Keji
      14.3.7 Zhongke Hengyun
      14.3.8 Hightop
      14.3.9 Ankangtong
      14.3.10 ThinkRace
      14.3.11 AVNET

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