 | • レポートコード：MRC2301D052 • 出版社/出版日：Transparency Market Research / 2022年10月18日 • レポート形態：英文、PDF、190ページ • 納品方法：Eメール • 産業分類：医療 |
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レポート概要
| Transparency Market Research社の市場調査書では、世界のデジタルブレインヘルス市場について調査・分析を行い、序論、仮定・調査手法、エグゼクティブサマリー、市場概要、主要インサイト、機能別（臨床機能、管理機能、財務機能）分析、構成部品別（ソフトウェア、機器）分析、エンドユーザー別（病院、専門診療所、その他）分析、地域別（北米、ヨーロッパ、アジア太平洋、中南米、中東・アフリカ）分析、競争状況などの内容を整理しました。並びに、当書に掲載されている企業情報には、Cerner Corporation (Oracle)、Core Solutions, Inc.、Holmusk、IBM、Netsmart Technologies, Inc.、NXGN Management, LLC、Qualifacts Systems, Inc.、Spring Care, Inc.、The Echo Group、Medibio、Linus Healthcareなどが含まれています。 ・序論 ・仮定・調査手法 ・エグゼクティブサマリー ・市場概要 ・主要インサイト ・世界のデジタルブレインヘルス市場規模：機能別 - 臨床機能における市場規模 - 管理機能における市場規模 - 財務機能における市場規模 ・世界のデジタルブレインヘルス市場規模：構成部品別 - デジタルブレインヘルスソフトウェアの市場規模 - デジタルブレインヘルス機器の市場規模 ・世界のデジタルブレインヘルス市場規模：エンドユーザー別 - 病院における市場規模 - 専門診療所における市場規模 - その他エンドユーザーにおける市場規模 ・世界のデジタルブレインヘルス市場規模：地域別 - 北米のデジタルブレインヘルス市場規模 - ヨーロッパのデジタルブレインヘルス市場規模 - アジア太平洋のデジタルブレインヘルス市場規模 - 中南米のデジタルブレインヘルス市場規模 - 中東・アフリカのデジタルブレインヘルス市場規模 ・競争状況 |
Digital Brain Health Market – Scope of Report
TMR’s report on the global digital brain health market studies the past as well as the current growth trends and opportunities to gain valuable insights of the indicators of the market during the forecast period from 2022 to 2031. The report provides revenue of the global digital brain health market for the period 2017–2031, considering 2021 as the base year and 2031 as the forecast year. The report also provides the compound annual growth rate (CAGR %) of the global digital brain health market from 2022 to 2031.
The report has been prepared after an extensive research. Primary research involved bulk of the research efforts, wherein analysts carried out interviews with key opinion leaders, industry leaders, and opinion makers. Secondary research involved referring to key players’ product literature, annual reports, press releases, and relevant documents to understand the digital brain health market.
Secondary research also included Internet sources, statistical data from government agencies, websites, and trade associations. Analysts employed a combination of top-down and bottom-up approaches to study various attributes of the global digital brain health market.
The report includes an elaborate executive summary, along with a snapshot of the growth behavior of various segments included in the scope of the study. Moreover, the report sheds light on the changing competitive dynamics in the global digital brain health market. These serve as valuable tools for existing market players as well as for entities interested in participating in the global digital brain health market.
The report delves into the competitive landscape of the global digital brain health market. Key players operating in the global digital brain health market have been identified and each one of these has been profiled, in terms of various attributes. Company overview, financial standings, recent developments, and SWOT are attributes of players in the global digital brain health market profiled in this report.
RESEARCH METHODOLOGY
The research methodology will be a combination of exhaustive primary and secondary research to analyze the market digital brain health.
Secondary Research
Secondary research includes a search of company literature, technical writing, patent data, Internet sources, and statistical data from government websites, trade associations, and agencies. This has proven to be the most reliable, effective, and successful approach for obtaining precise data, capturing industry participants’ insights, and recognizing business opportunities.
Secondary research sources that we typically refer, but are not limited to:
Company websites, presentations, annual reports, white papers, technical paper, product brochure
Internal and external proprietary databases and relevant patents
National government documents, statistical databases, and market reports
News articles, press releases, and webcasts specific to companies operating in the market
Specific Secondary Sources:
Industry Sources:
WorldWideScience.org
Elsevier, Inc.
National Institutes of Health (NIH)
PubMed
NCBI
Department of Health Care Service
Trade Data Sources
Trade Map
UN Comtrade
Trade Atlas
Company Information
OneSource Business Browser
Hoover’s
Factiva
Bloomberg
Mergers & Acquisitions
Thomson Mergers & Acquisitions
MergerStat
Profound
Primary Research
During the course of research, we conduct in-depth interviews and discussions with a wide range of key industry participants and opinion leaders. Primary research represents bulk of research efforts, supplemented by extensive secondary research.
We conduct primary interviews on the ongoing basis with industry participants and commentators to validate data and analysis. A typical research interview fulfills the following functions:
Provides first-hand information on market size, market trends, growth trends, competitive landscape, outlook, etc.
Helps in validating and strengthening secondary research findings
Further develops the analysis team’s expertise and market understanding
Primary research involves e-mail interactions, telephonic interviews, as well as face-to-face interviews for each market, category, segment, and sub-segment across geographies
Participants who typically take part in such a process include, but are not limited to:
Industry participants: Marketing/product managers, market intelligence managers, and regional sales managers
Purchasing/Sourcing managers, technical personnel, distributors
Outside experts: Investment bankers, valuation experts, and research analysts specializing in specific markets
Key opinion leaders specializing in different areas corresponding to different industry verticals
List of primary participants, but not limited to:
Advanced Oncotherapy PLC
Danfysik A/S
Hitachi, Ltd.
IBA Worldwide
Mevion Medical Systems, Inc.
Data Triangulation: Information culled from “Secondary & Primary Sources” is cross-checked with “TMR Knowledge Repository”, which is updated every quarter.
Market Estimation: Market size estimations involved in-depth study of product features, technology updates, geographic presence, product demand, sales data (value or volume), historical year-on-year growth, and others. Other approaches were also utilized to derive market size and forecasts. Where no hard data was available, we employed modeling techniques in order to produce comprehensive datasets. A rigorous methodology has been adopted, wherein the available hard data are cross-referenced with the following data types to produce estimates:
Demographic Data: Healthcare expenditure, inflation rates, and others
Industry Indicators: R&D investment, technology stage, and infrastructure, sector growth, and facilities
Market Forecasting: Market forecasts for various segments are derived taking into account drivers, restraints/challenges, and opportunities prevailing in the market and considering advantages/disadvantages of segments/sub-segments over other segments/sub-segments. Business environment, historical sales pattern, unmet needs, competitive intensity, and country-wise surgery data are some of the other pivotal factors, which are considered to derive market forecasts.
レポート目次1. Preface
1.1. Market Definition and Scope
1.2. Market Segmentation
1.3. Key Research Objectives
1.4. Research Highlights
2. Assumptions and Research Methodology
3. Executive Summary: Global Digital Mental Health Market
4. Market Overview
4.1. Introduction
4.1.1. Segment Definition
4.2. Overview
4.3. Market Dynamics
4.3.1. Drivers
4.3.2. Restraints
4.3.3. Opportunities
4.4. Global Digital Mental Health Market Analysis and Forecast, 2017–2031
4.4.1. Market Revenue Projections (US$ Bn)
5. Key Insights
5.1. Technological Advancements
5.2. Key Mergers & Acquisitions
5.3. Typical Journey of a Mental Health Patient
5.4. Covid-19 Impact Analysis
6. Global Digital Mental Health Market Analysis and Forecast, by Functionality
6.1. Introduction & Definition
6.2. Key Findings / Developments
6.3. Market Value Forecast, by Functionality, 2017–2031
6.3.1. Clinical Functionality
6.3.1.1. Electronic Health Records (EHR)
6.3.1.2. Clinical Decision Support (CDS)
6.3.1.3. Care Plans/Health Management
6.3.1.4. E-Prescribing
6.3.1.5. Telehealth
6.3.1.6. Others
6.3.2. Administrative Functionality
6.3.3. Financial Functionality
6.4. Market Attractiveness Analysis, by Functionality
7. Global Digital Mental Health Market Analysis and Forecast, by Component
7.1. Introduction & Definition
7.2. Key Findings / Developments
7.3. Market Value Forecast, by Component, 2017–2031
7.3.1. Software
7.3.2. Devices
7.4. Market Attractiveness Analysis, by Component
8. Global Digital Mental Health Market Analysis and Forecast, by End-user
8.1. Introduction & Definition
8.2. Key Findings / Developments
8.3. Market Value Forecast, by End-user, 2017–2031
8.3.1. Hospitals
8.3.2. Specialty Clinics
8.3.3. Others
8.4. Market Attractiveness Analysis, by End-user
9. Global Digital Mental Health Market Analysis and Forecast, by Region
9.1. Key Findings
9.2. Market Value Forecast, by Region
9.2.1. North America
9.2.2. Europe
9.2.3. Asia Pacific
9.2.4. Latin America
9.2.5. Middle East & Africa
9.3. Market Attractiveness Analysis, by Region
10. North America Digital Mental Health Market Analysis and Forecast
10.1. Introduction
10.1.1. Key Findings
10.2. Market Value Forecast, by Functionality, 2017–2031
10.2.1. Clinical Functionality
10.2.1.1. Electronic Health Records (EHR)
10.2.1.2. Clinical Decision Support (CDS)
10.2.1.3. Care Plans/Health Management
10.2.1.4. E-Prescribing
10.2.1.5. Telehealth
10.2.1.6. Others
10.2.2. Administrative Functionality
10.2.3. Financial Functionality
10.3. Market Value Forecast, by Component, 2017–2031
10.3.1. Software
10.3.2. Devices
10.4. Market Value Forecast, by End-user, 2017–2031
10.4.1. Hospitals
10.4.2. Specialty Clinics
10.4.3. Others
10.5. Market Value Forecast, by Country, 2017–2031
10.5.1. U.S.
10.5.2. Canada
10.6. Market Attractiveness Analysis
10.6.1. By Functionality
10.6.2. By Component
10.6.3. By End-user
10.6.4. By Country
11. Europe Digital Mental Health Market Analysis and Forecast
11.1. Introduction
11.1.1. Key Findings
11.2. Market Value Forecast, by Functionality, 2017–2031
11.2.1. Clinical Functionality
11.2.1.1. Electronic Health Records (EHR)
11.2.1.2. Clinical Decision Support (CDS)
11.2.1.3. Care Plans/Health Management
11.2.1.4. E-Prescribing
11.2.1.5. Telehealth
11.2.1.6. Others
11.2.2. Administrative Functionality
11.2.3. Financial Functionality
11.3. Market Value Forecast, by Component, 2017–2031
11.3.1. Software
11.3.2. Devices
11.4. Market Value Forecast, by End-user, 2017–2031
11.4.1. Hospitals
11.4.2. Specialty Clinics
11.4.3. Others
11.5. Market Value Forecast, by Country/Sub-region, 2017–2031
11.5.1. Germany
11.5.2. U.K.
11.5.3. France
11.5.4. Spain
11.5.5. Italy
11.5.6. Rest of Europe
11.6. Market Attractiveness Analysis
11.6.1. By Functionality
11.6.2. By Component
11.6.3. By End-user
11.6.4. By Country/Sub-region
12. Asia Pacific Digital Mental Health Market Analysis and Forecast
12.1. Introduction
12.1.1. Key Findings
12.2. Market Value Forecast, by Functionality, 2017–2031
12.2.1. Clinical Functionality
12.2.1.1. Electronic Health Records (EHR)
12.2.1.2. Clinical Decision Support (CDS)
12.2.1.3. Care Plans/Health Management
12.2.1.4. E-Prescribing
12.2.1.5. Telehealth
12.2.1.6. Others
12.2.2. Administrative Functionality
12.2.3. Financial Functionality
12.3. Market Value Forecast, by Component, 2017–2031
12.3.1. Software
12.3.2. Devices
12.4. Market Value Forecast, by End-user, 2017–2031
12.4.1. Hospitals
12.4.2. Specialty Clinics
12.4.3. Others
12.5. Market Value Forecast, by Country/Sub-region, 2017–2031
12.5.1. China
12.5.2. Japan
12.5.3. India
12.5.4. Australia and New Zealand
12.5.5. Rest of Asia Pacific
12.6. Market Attractiveness Analysis
12.6.1. By Functionality
12.6.2. By Component
12.6.3. By End-user
12.6.4. By Country/Sub-region
13. Latin America Digital Mental Health Market Analysis and Forecast
13.1. Introduction
13.1.1. Key Findings
13.2. Market Value Forecast, by Functionality, 2017–2031
13.2.1. Clinical Functionality
13.2.1.1. Electronic Health Records (EHR)
13.2.1.2. Clinical Decision Support (CDS)
13.2.1.3. Care Plans/Health Management
13.2.1.4. E-Prescribing
13.2.1.5. Telehealth
13.2.1.6. Others
13.2.2. Administrative Functionality
13.2.3. Financial Functionality
13.3. Market Value Forecast, by Component, 2017–2031
13.3.1. Software
13.3.2. Devices
13.4. Market Value Forecast, by End-user, 2017–2031
13.4.1. Hospitals
13.4.2. Specialty Clinics
13.4.3. Others
13.5. Market Value Forecast, by Country/Sub-region, 2017–2031
13.5.1. Brazil
13.5.2. Mexico
13.5.3. Rest of Latin America
13.6. Market Attractiveness Analysis
13.6.1. By Functionality
13.6.2. By Component
13.6.3. By End-user
13.6.4. By Country/Sub-region
14. Middle East & Africa Digital Mental Health Market Analysis and Forecast
14.1. Introduction
14.1.1. Key Findings
14.2. Market Value Forecast, by Functionality, 2017–2031
14.2.1. Clinical Functionality
14.2.1.1. Electronic Health Records (EHR)
14.2.1.2. Clinical Decision Support (CDS)
14.2.1.3. Care Plans/Health Management
14.2.1.4. E-Prescribing
14.2.1.5. Telehealth
14.2.1.6. Others
14.2.2. Administrative Functionality
14.2.3. Financial Functionality
14.3. Market Value Forecast, by Component, 2017–2031
14.3.1. Software
14.3.2. Devices
14.4. Market Value Forecast, by End-user, 2017–2031
14.4.1. Hospitals
14.4.2. Specialty Clinics
14.4.3. Others
14.5. Market Value Forecast, by Country/Sub-region, 2017–2031
14.5.1. GCC Countries
14.5.2. South Africa
14.5.3. Rest of Middle East & Africa
14.6. Market Attractiveness Analysis
14.6.1. By Functionality
14.6.2. By Component
14.6.3. By End-user
14.6.4. By Country/Sub-region
15. Competition Landscape
15.1. Market Player – Competition Matrix (by tier and size of companies)
15.2. Market Share Analysis, by Company, 2021
15.3. Company Profiles
15.3.1. Cerner Corporation (Oracle)
15.3.1.1. Company Overview
15.3.1.2. Product Portfolio
15.3.1.3. SWOT Analysis
15.3.1.4. Financial Overview
15.3.1.5. Strategic Overview
15.3.2. Core Solutions, Inc.
15.3.2.1. Company Overview
15.3.2.2. Product Portfolio
15.3.2.3. SWOT Analysis
15.3.2.4. Financial Overview
15.3.2.5. Strategic Overview
15.3.3. Holmusk
15.3.3.1. Company Overview
15.3.3.2. Product Portfolio
15.3.3.3. SWOT Analysis
15.3.3.4. Financial Overview
15.3.3.5. Strategic Overview
15.3.4. IBM
15.3.4.1. Company Overview
15.3.4.2. Product Portfolio
15.3.4.3. SWOT Analysis
15.3.4.4. Financial Overview
15.3.4.5. Strategic Overview
15.3.5. Netsmart Technologies, Inc.
15.3.5.1. Company Overview
15.3.5.2. Product Portfolio
15.3.5.3. SWOT Analysis
15.3.5.4. Financial Overview
15.3.5.5. Strategic Overview
15.3.6. NXGN Management, LLC
15.3.6.1. Company Overview
15.3.6.2. Product Portfolio
15.3.6.3. SWOT Analysis
15.3.6.4. Financial Overview
15.3.6.5. Strategic Overview
15.3.7. Qualifacts Systems, Inc.
15.3.7.1. Company Overview
15.3.7.2. Product Portfolio
15.3.7.3. SWOT Analysis
15.3.7.4. Financial Overview
15.3.7.5. Strategic Overview
15.3.8. Spring Care, Inc.
15.3.8.1. Company Overview
15.3.8.2. Product Portfolio
15.3.8.3. SWOT Analysis
15.3.8.4. Financial Overview
15.3.8.5. Strategic Overview
15.3.9. The Echo Group
15.3.9.1. Company Overview
15.3.9.2. Product Portfolio
15.3.9.3. SWOT Analysis
15.3.9.4. Financial Overview
15.3.9.5. Strategic Overview
15.3.10. Medibio
15.3.10.1. Company Overview
15.3.10.2. Product Portfolio
15.3.10.3. SWOT Analysis
15.3.10.4. Financial Overview
15.3.10.5. Strategic Overview
15.3.11. Linus Healthcare
15.3.11.1. Company Overview
15.3.11.2. Product Portfolio
15.3.11.3. SWOT Analysis
15.3.11.4. Financial Overview
15.3.11.5. Strategic Overview