The Digital Biomarkers Market Size is valued at 2.66 Billion in 2022 and is predicted to reach 17.58 Billion by the year 2031 at a 23.52 % CAGR during the forecast period for 2023-2031.
Digital Biomarkers are nothing, but the data measured through specific devices to help researchers and doctors track healthy processes, diagnose diseases and other health conditions, monitor responses to medication, and identify health risks in a person. The digital biomarker could potentially facilitate the effective use of a DHT in evaluating a therapeutic product, potentially growing patient access to safe and effective medical products. It can detect non-biological external factors (e.g., environmental features like pollen count) and provides an opportunity to identify predictors and influences on health, which will require the systematic development of scientific evidence in the future.
Passive digital biomarkers are simple digital biomarkers that are collected via unnoticed actions. Passive data from sensors integrated into wearable devices is generated when a user wears the device. Active digital biomarkers are digital biomarkers collected via prompted actions. Digital biomarker data can be generated and captured from smart devices, such as smartphones and tablets, when a user interacts with the device in response to an active prompt.
Biomarkers are popular nowadays in drug development, so it is widely used, positively affecting the market growth. Factors such as the rising employment of vocal digital biomarkers and regulatory flexibility toward digital healthcare are also responsible for the growth of the digital biomarkers market. Vast use of wearable smart devices and smartphone applications in healthcare will continually fuel the market. Failure of Drugs for Neurodegenerative Disorders accelerates the requirement of digital biomarkers.
The increasing innovations and product designs in the global market and the growing use in emerging economies are the driving factors for the market's growth. The increasing number of product launches and rising number of Food and Drug Administration (FDA) approvals are forecast to propel the market growth. In 2019, FDA granted an approval to KardiaMobile ( AliveCor). It is an AI-enabled wearable device that monitors the vital signs connected to heart arrhythmias. Earlier, Altoida Raises $6.3M Series A to Predict Alzheimer's Disease Risk Using Artificial Intelligence, Machine Learning and Augmented Reality.
Need for Standardized and Interoperable Solutions, Incorrectness in Data Measurements, Lack of Integration, Interoperability between Medical Records & User Generated Data, Lack of Use Cases of the Return on Investment (ROI) Analysis and high costing, these are the prominent factors which will restrain the progress of digital biomarkers market.
The market is segmented into Application, System Components, Type, End-User and Region. Based on Application, the market is segmented into Sleep and Movement Disorders, Cardiovascular, Psychiatric Disorders (Mood and Behavior), Chronic Pain, Neurodegenerative Diseases, Diabetes, Respiratory Diseases, and Others. On the other hand system components segment is divided into Data Collection Tools (Wearables Devices, Implantable and Mobile Applications) and Data Integration Software. The Type segment consists of Clinical Trials and Clinical Settings. The last segment is the End-User segment which is divided into Biopharmaceutical Companies, Payers and Providers.
North America is forecast to hold the main share in the global digital biomarkers market. The presence of leading industry players is expected to contribute to regional development in the global digital biomarkers market.
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Report Attribute |
Specifications |
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Market Size Value In 2022 |
USD 2.66 Billion |
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Revenue Forecast In 2031 |
USD 17.58 Billion |
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Growth Rate CAGR |
CAGR of 23.52 % from 2023 to 2031 |
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Quantitative Units |
Representation of revenue in US$ Million and CAGR from 2023 to 2031 |
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Historic Year |
2019 to 2022 |
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Forecast Year |
2023-2031 |
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Report Coverage |
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
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Segments Covered |
By Applications, By System Components, By Type, by End-User |
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Regional Scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
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Country Scope |
U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; The UK; France; Italy; Spain; China; Japan; India; South Korea; South East Asia; South Korea; South East Asia |
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Competitive Landscape |
Alphabet Inc., AliveCor Inc., Akili Interactive Labs, Inc., Cambridge Cognition Ltd, Dassault Systèmes, IXICO plc, Koninklijke Philips N.V, Shimmer , Quanterix Corporation, Altoida AG, Evidation Health, Inc., Happify, Inc., Huma, Human API, Mindstrong Health, Neurotrack Technologies, Inc, Orikami, Winterlight Labs Inc. |
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Customization Scope |
Free customization report with the procurement of the report, Modifications to the regional and segment scope. Particular Geographic competitive landscape. |
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Pricing and Available Payment Methods |
Explore pricing alternatives that are customized to your particular study requirements. |
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global Digital Biomarkers Market Snapshot
Chapter 4. Global Digital Biomarkers Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Industry Analysis – Porter’s Five Forces Analysis
4.7. COVID-19 Impact Analysis
Chapter 5. Market Segmentation 1: By Application Estimates & Trend Analysis
5.1. By Application & Market Share, 2019-2031
5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2022 to 2031 for the following By Application:
5.2.1. Sleep and Movement Disorders
5.2.2. Cardiovascular
5.2.3. Psychiatric Disorders (Mood and Behavior)
5.2.4. Chronic Pain
5.2.5. Neurodegenerative Diseases
5.2.6. Diabetes
5.2.7. Respiratory Diseases
5.2.8. Others
Chapter 6. Market Segmentation 2: By System Components Estimates & Trend Analysis
6.1. By Application & Market Share, 2019-2031
6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2022 to 2031 for the following By System Components:
6.2.1. Data Collection Tools
6.2.2. Wearables Devices
6.2.3. Implantables
6.2.4. Mobile Applications
6.2.5. Data Integration Software
Chapter 7. Market Segmentation 3: By Type Estimates & Trend Analysis
7.1. By Application & Market Share, 2019-2031
7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2022 to 2031 for the following By Type:
7.2.1. Clinical trials
7.2.2. Clinical settings
Chapter 8. Market Segmentation 4: By End User Estimates & Trend Analysis
8.1. By Application & Market Share, 2019-2031
8.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2022 to 2031 for the following By End User:
8.2.1. Biopharmaceutical Companies
8.2.2. Payers
8.2.3. Providers
Chapter 9. Digital Biomarkers Market Segmentation 5: Regional Estimates & Trend Analysis
9.1. North America
9.1.1. North America Digital Biomarkers Market revenue (US$ Million) estimates and forecasts By Application, 2023-2031
9.1.2. North America Digital Biomarkers Market revenue (US$ Million) estimates and forecasts By System Components, 2023-2031
9.1.3. North America Digital Biomarkers Market revenue (US$ Million) estimates and forecasts By Type, 2023-2031
9.1.4. North America Digital Biomarkers Market revenue (US$ Million) estimates and forecasts By, End User, 2023-2031
9.1.5. North America Digital Biomarkers Market revenue (US$ Million) estimates and forecasts by country, 2023-2031
9.1.5.1. U.S.
9.1.5.2. Canada
9.2. Europe
9.2.1. Europe Digital Biomarkers Market revenue (US$ Million) By Application, 2023-2031
9.2.2. Europe Digital Biomarkers Market revenue (US$ Million) estimates and forecasts By System Components, 2023-2031
9.2.3. Europe Digital Biomarkers Market revenue (US$ Million) estimates and forecasts By Type, 2023-2031
9.2.4. Europe Digital Biomarkers Market revenue (US$ Million) estimates and forecasts By End User,2023-2031
9.2.5. Europe Digital Biomarkers Market revenue (US$ Million) by country, 2023-2031
9.2.5.1. Germany
9.2.5.2. Poland
9.2.5.3. France
9.2.5.4. Italy
9.2.5.5. Spain
9.2.5.6. UK
9.2.5.7. Rest of Europe
9.3. Asia Pacific
9.3.1. Asia Pacific Digital Biomarkers Market revenue (US$ Million) By Application, 2023-2031
9.3.2. Asia Pacific Digital Biomarkers Market revenue (US$ Million) estimates and forecasts By System Components, 2023-2031
9.3.3. Asia Pacific Digital Biomarkers Market revenue (US$ Million) estimates and forecasts By Type, 2023-2031
9.3.4. Asia Pacific Digital Biomarkers Market revenue (US$ Million) estimates and forecasts By End User, 2023-20
9.3.5. Asia Pacific Digital Biomarkers Market revenue (US$ Million) by country, 2023-2031
9.3.5.1. China
9.3.5.2. India
9.3.5.3. Japan
9.3.5.4. Australia
9.3.5.5. Rest of Asia Pacific
9.4. Latin America
9.4.1. Latin America Digital Biomarkers Market revenue (US$ Million) By Application, 2023-2031
9.4.2. Latin America Digital Biomarkers Market revenue (US$ Million) estimates and forecasts By System Components, 2023-2031
9.4.3. Latin America Digital Biomarkers Market revenue (US$ Million) estimates and forecasts By Type, 2023-2031
9.4.4. Latin America Digital Biomarkers Market revenue (US$ Million) estimates and forecasts By End User, 2023-2031
9.4.5. Latin America Digital Biomarkers Market revenue (US$ Million) by country, (US$ Million) 2023-2031
9.4.5.1. Brazil
9.4.5.2. Rest of Latin America
9.5. Middle East & Africa
9.5.1. Middle East & Africa Digital Biomarkers Market revenue (US$ Million) By Application, (US$ Million)
9.5.2. Middle East & Africa Digital Biomarkers Market revenue (US$ Million) estimates and forecasts By System Components, 2023-2031
9.5.3. Middle East & Africa Digital Biomarkers Market revenue (US$ Million) estimates and forecasts By Type, 2023-2031
9.5.4. Middle East & Africa Digital Biomarkers Market revenue (US$ Million) estimates and forecasts By End User, 2023-2031
9.5.5. Middle East & Africa Digital Biomarkers Market revenue (US$ Million) by country, (US$ Million) 2023-2031
9.5.5.1. South Africa
9.5.5.2. GCC Countries
9.5.5.3. Rest of MEA
Chapter 10. Competitive Landscape
10.1. Major Mergers and Acquisitions/Strategic Alliances
10.2. Company Profiles
10.2.1. AliveCor Inc.
10.2.2. Akili Interactive Labs, Inc.
10.2.3. Cambridge Cognition Ltd
10.2.4. Dassault Systèmes
10.2.5. IXICO plc
10.2.6. Koninklijke Philips N.V
10.2.7. Shimmer
10.2.8. Quanterix Corporation
10.2.9. Altoida AG
10.2.10. Evidation Health, Inc.
10.2.11. Happify, Inc.
10.2.12. Huma
10.2.13. Human API
10.2.14. Mindstrong Health
10.2.15. Neurotrack Technologies,
10.2.16. Orikami
10.2.17. Winterlight Labs Inc.
Global Digital Biomarkers Market, by Application, 2023-2031 (Value US$ Mn)
Global Digital Biomarkers Market, by System Components, 2023-2031 (Value US$ Mn)
Global Digital Biomarkers Market, by Type, 2023-2031 (Value US$ Mn)
Global Digital Biomarkers Market, by End-User, 2023-2031 (Value US$ Mn)
Global Digital Biomarkers Market, by Region, 2023-2031 (Value US$ Mn)
North America Digital Biomarkers Market, by Country, 2023-2031 (Value US$ Mn)
Europe Digital Biomarkers Market, by Country, 2023-2031 (Value US$ Mn)
Asia Pacific Digital Biomarkers Market, by Country, 2023-2031 (Value US$ Mn)
Latin America Digital Biomarkers Market, by Country, 2023-2031 (Value US$ Mn)
Middle East & Africa Digital Biomarkers Market, by Country, 2023-2031 (Value US$ Mn)
InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.
Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.
Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.
Secondary research
The secondary research sources that are typically mentioned to include, but are not limited to:
The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista
Primary Research:
Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies
The contributors who typically take part in such a course include, but are not limited to:
Data Modeling and Analysis:
In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.
The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.
To know more about the research methodology used for this study, kindly contact us/click here.
