Digital Therapeutics for Chronic Pain Market Size, Share & Trends Analysis Distribution by Type (Software-Based Digital Therapeutics, Mobile Application Therapeutics, and Wearable Device-Integrated Therapeutics), Delivery Mode (Self-Managed and Provider-Guided), Application (Neuropathic Pain, Musculoskeletal Pain, Fibromyalgia, and Post-Surgical Pain), End-use (Patients and Healthcare Providers), and Segment Forecasts, 2025-2034

Report Id: 3270 Pages: 180 Last Updated: 15 November 2025 Format: PDF / PPT / Excel / Power BI
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Segmentation of Digital Therapeutics for Chronic Pain Market -

Digital Therapeutics for Chronic Pain Market by Type-

·       Software-Based Digital Therapeutics

·       Mobile Application Therapeutics

·       Wearable Device-Integrated Therapeutics

Digital Therapeutics for Chronic Pain Market by Delivery Mode -

·       Self-Managed

·       Provider-Guided

Digital Therapeutics for Chronic Pain Market SEG

Digital Therapeutics for Chronic Pain Market by Application-

·       Neuropathic Pain

·       Musculoskeletal Pain

·       Fibromyalgia

·       Post-Surgical Pain

Digital Therapeutics for Chronic Pain Market by End-use-

·       Patients

·       Healthcare Providers

Digital Therapeutics for Chronic Pain Market by Region-

North America-

·       The US

·       Canada

Europe-

·       Germany

·       The UK

·       France

·       Italy

·       Spain

·       Rest of Europe

Asia-Pacific-

·       China

·       Japan

·       India

·       South Korea

·       Southeast Asia

·       Rest of Asia Pacific

Latin America-

·       Brazil

·       Argentina

·       Mexico

·       Rest of Latin America

 Middle East & Africa-

·       GCC Countries

·       South Africa

·       Rest of the Middle East and Africa

 
 

Chapter 1.    Methodology and Scope

1.1.    Research Methodology
1.2.    Research Scope & Assumptions

Chapter 2.    Executive Summary

Chapter 3.    Global Digital Therapeutics for Chronic Pain Market Snapshot

Chapter 4.    Global Digital Therapeutics for Chronic Pain 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.    Porter's Five Forces Analysis
4.7.    Incremental Opportunity Analysis (US$ MN), 2025-2034 
4.8.    Global Digital Therapeutics for Chronic Pain Market Penetration & Growth Prospect Mapping (US$ Mn), 2024-2034
4.9.    Competitive Landscape & Market Share Analysis, By Key Player (2024)
4.10.    Use/impact of AI on Digital Therapeutics for Chronic Pain Market Industry Trends 

Chapter 5.    Digital Therapeutics for Chronic Pain Market Segmentation 1: By Type, Estimates & Trend Analysis

5.1.    Market Share by  Type, 2024 & 2034
5.2.    Market Size (Value (US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following  Type:

5.2.1.    Software-Based Digital Therapeutics
5.2.2.    Wearable Device-Integrated Therapeutics
5.2.3.    Mobile Application Therapeutics

Chapter 6.    Digital Therapeutics for Chronic Pain Market Segmentation 2: By Application, Estimates & 
Trend Analysis

6.1.    Market Share by Application, 2024 & 2034
6.2.    Market Size (Value (US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following
 Application:

6.2.1.    Musculoskeletal Pain
6.2.2.    Neuropathic Pain
6.2.3.    Fibromyalgia
6.2.4.    Post-Surgical Pain

Chapter 7.    Digital Therapeutics for Chronic Pain Market Segmentation 3: By Delivery Mode, Estimates & Trend Analysis

7.1.    Market Share by Delivery Mode, 2024 & 2034
7.2.    Market Size (Value (US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following Delivery Mode:

7.2.1.    Self-Managed
7.2.2.    Provider-Guided

Chapter 8.    Digital Therapeutics for Chronic Pain Market Segmentation 4: By End‑User, Estimates & Trend Analysis

8.1.    Market Share by End‑User, 2024 & 2034
8.2.    Market Size (Value (US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following End‑User:

8.2.1.    Patients
8.2.2.    Healthcare Providers

Chapter 9.    Digital Therapeutics for Chronic Pain Market Segmentation 5: Regional Estimates & Trend Analysis

9.1.    Global Digital Therapeutics for Chronic Pain Market, Regional Snapshot 2024 & 2034
9.2.    North America

9.2.1.    North America Digital Therapeutics for Chronic Pain Market Revenue (US$ Mn) Estimates and Forecasts by Country, 2021-2034

9.2.1.1.    US
9.2.1.2.    Canada

9.2.2.    North America Digital Therapeutics for Chronic Pain Market Revenue (US$ Mn) Estimates and Forecasts by  Type, 2021-2034
9.2.3.    North America Digital Therapeutics for Chronic Pain Market Revenue (US$ Mn) Estimates and Forecasts by Application, 2021-2034
9.2.4.    North America Digital Therapeutics for Chronic Pain Market Revenue (US$ Mn) Estimates and Forecasts by Delivery Mode, 2021-2034
9.2.5.    North America Digital Therapeutics for Chronic Pain Market Revenue (US$ Mn) Estimates and Forecasts by End‑User, 2021-2034

9.3.    Europe

9.3.1.    Europe Digital Therapeutics for Chronic Pain Market Revenue (US$ Mn) Estimates and Forecasts by Country, 2021-2034

9.3.1.1.    Germany
9.3.1.2.    U.K.
9.3.1.3.    France
9.3.1.4.    Italy
9.3.1.5.    Spain
9.3.1.6.    Rest of Europe

9.3.2.    Europe Digital Therapeutics for Chronic Pain Market Revenue (US$ Mn) Estimates and Forecasts by  Type, 2021-2034
9.3.3.    Europe Digital Therapeutics for Chronic Pain Market Revenue (US$ Mn) Estimates and Forecasts by Application, 2021-2034
9.3.4.    Europe Digital Therapeutics for Chronic Pain Market Revenue (US$ Mn) Estimates and Forecasts by Delivery Mode, 2021-2034
9.3.5.    Europe Digital Therapeutics for Chronic Pain Market Revenue (US$ Mn) Estimates and Forecasts by End‑User, 2021-2034

9.4.    Asia Pacific

9.4.1.    Asia Pacific Digital Therapeutics for Chronic Pain Market Revenue (US$ Mn) Estimates and Forecasts by Country, 2021-2034

9.4.1.1.    India 
9.4.1.2.    China
9.4.1.3.    Japan
9.4.1.4.    Australia
9.4.1.5.    South Korea
9.4.1.6.    Hong Kong
9.4.1.7.    Southeast Asia
9.4.1.8.    Rest of Asia Pacific

9.4.2.    Asia Pacific Digital Therapeutics for Chronic Pain Market Revenue (US$ Mn) Estimates and Forecasts by  Type, 2021-2034
9.4.3.    Asia Pacific Digital Therapeutics for Chronic Pain Market Revenue (US$ Mn) Estimates and Forecasts by Application, 2021-2034
9.4.4.    Asia Pacific Digital Therapeutics for Chronic Pain Market Revenue (US$ Mn) Estimates and Forecasts by Delivery Mode, 2021-2034
9.4.5.    Asia Pacific Digital Therapeutics for Chronic Pain Market Revenue (US$ Mn) Estimates and Forecasts by End‑User, 2021-2034

9.5.    Latin America

9.5.1.    Latin America Digital Therapeutics for Chronic Pain Market Revenue (US$ Mn) Estimates and Forecasts by Country, 2021-2034

9.5.1.1.    Brazil
9.5.1.2.    Mexico
9.5.1.3.    Rest of Latin America

9.5.2.    Latin America Digital Therapeutics for Chronic Pain Market Revenue (US$ Mn) Estimates and Forecasts by  Type, 2021-2034
9.5.3.    Latin America Digital Therapeutics for Chronic Pain Market Revenue (US$ Mn) Estimates and Forecasts by Application, 2021-2034
9.5.4.    Latin America Digital Therapeutics for Chronic Pain Market Revenue (US$ Mn) Estimates and Forecasts by Delivery Mode, 2021-2034
9.5.5.    Latin America Digital Therapeutics for Chronic Pain Market Revenue (US$ Mn) Estimates and Forecasts by End‑User, 2021-2034

9.6.    Middle East & Africa

9.6.1.    Middle East & Africa Digital Therapeutics for Chronic Pain Market Revenue (US$ Mn) Estimates and Forecasts by country, 2021-2034

9.6.1.1.    GCC Countries
9.6.1.2.    Israel
9.6.1.3.    South Africa
9.6.1.4.    Rest of Middle East and Africa

9.6.2.    Middle East & Africa Digital Therapeutics for Chronic Pain Market Revenue (US$ Mn) Estimates and Forecasts by  Type, 2021-2034
9.6.3.    Middle East & Africa Digital Therapeutics for Chronic Pain Market Revenue (US$ Mn) Estimates and Forecasts by Application, 2021-2034
9.6.4.    Middle East & Africa Digital Therapeutics for Chronic Pain Market Revenue (US$ Mn) Estimates and Forecasts by Delivery Mode, 2021-2034
9.6.5.    Middle East & Africa Digital Therapeutics for Chronic Pain Market Revenue (US$ Mn) Estimates and Forecasts by End‑User, 2021-2034

Chapter 10.    Competitive Landscape

10.1.    Major Mergers and Acquisitions/Strategic Alliances
10.2.    Company Profiles

10.2.1.    Omada Health (USA)
10.2.1.1.    Business Overview
10.2.1.2.    Key Product/Service 
10.2.1.3.    Financial Performance
10.2.1.4.    Geographical Presence
10.2.1.5.    Recent Developments with Business Strategy
10.2.2.    Kaia Health (Germany)
10.2.3.    Pear Therapeutics (USA)
10.2.4.    Fitbit (USA)
10.2.5.    Propeller Health (USA)
10.2.6.    Biofourmis (USA)
10.2.7.    Click Therapeutics (USA)
10.2.8.    Happify Health (USA)
10.2.9.    Akili Interactive (USA)
10.2.10.    Better Therapeutics (USA)
10.2.11.    Altoida (Switzerland)
10.2.12.    Kaiku Health (Finland)
10.2.13.    Curable (USA)
10.2.14.    Pathway Genomics (USA)
10.2.15.    Twill (USA)
10.2.16.    AppliedVR (USA)
10.2.17.    Mymee (USA)
10.2.18.    SWORD Health (Portugal)
10.2.19.    MedRhythms (USA)
10.2.20.    MindMaze (Switzerland)
10.2.21.    Cognoa (USA)
10.2.22.    Welldoc (USA)  

 
 

Research Design and Approach

This study employed a multi-step, mixed-method research approach that integrates:

  • Secondary research
  • Primary research
  • Data triangulation
  • Hybrid top-down and bottom-up modelling
  • Forecasting and scenario analysis

This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.

Secondary Research

Secondary research for this study involved the collection, review, and analysis of publicly available and paid data sources to build the initial fact base, understand historical market behaviour, identify data gaps, and refine the hypotheses for primary research.

Sources Consulted

Secondary data for the market study was gathered from multiple credible sources, including:

  • Government databases, regulatory bodies, and public institutions
  • International organizations (WHO, OECD, IMF, World Bank, etc.)
  • Commercial and paid databases
  • Industry associations, trade publications, and technical journals
  • Company annual reports, investor presentations, press releases, and SEC filings
  • Academic research papers, patents, and scientific literature
  • Previous market research publications and syndicated reports

These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.

Secondary Research

Primary Research

Primary research was conducted to validate secondary data, understand real-time market dynamics, capture price points and adoption trends, and verify the assumptions used in the market modelling.

Stakeholders Interviewed

Primary interviews for this study involved:

  • Manufacturers and suppliers in the market value chain
  • Distributors, channel partners, and integrators
  • End-users / customers (e.g., hospitals, labs, enterprises, consumers, etc., depending on the market)
  • Industry experts, technology specialists, consultants, and regulatory professionals
  • Senior executives (CEOs, CTOs, VPs, Directors) and product managers

Interview Process

Interviews were conducted via:

  • Structured and semi-structured questionnaires
  • Telephonic and video interactions
  • Email correspondences
  • Expert consultation sessions

Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.

Data Processing, Normalization, and Validation

All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.

The data validation process included:

  • Standardization of units (currency conversions, volume units, inflation adjustments)
  • Cross-verification of data points across multiple secondary sources
  • Normalization of inconsistent datasets
  • Identification and resolution of data gaps
  • Outlier detection and removal through algorithmic and manual checks
  • Plausibility and coherence checks across segments and geographies

This ensured that the dataset used for modelling was clean, robust, and reliable.

Market Size Estimation and Data Triangulation

Bottom-Up Approach

The bottom-up approach involved aggregating segment-level data, such as:

  • Company revenues
  • Product-level sales
  • Installed base/usage volumes
  • Adoption and penetration rates
  • Pricing analysis

This method was primarily used when detailed micro-level market data were available.

Bottom Up Approach

Top-Down Approach

The top-down approach used macro-level indicators:

  • Parent market benchmarks
  • Global/regional industry trends
  • Economic indicators (GDP, demographics, spending patterns)
  • Penetration and usage ratios

This approach was used for segments where granular data were limited or inconsistent.

Hybrid Triangulation Approach

To ensure accuracy, a triangulated hybrid model was used. This included:

  • Reconciling top-down and bottom-up estimates
  • Cross-checking revenues, volumes, and pricing assumptions
  • Incorporating expert insights to validate segment splits and adoption rates

This multi-angle validation yielded the final market size.

Forecasting Framework and Scenario Modelling

Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.

Forecasting Methods

  • Time-series modelling
  • S-curve and diffusion models (for emerging technologies)
  • Driver-based forecasting (GDP, disposable income, adoption rates, regulatory changes)
  • Price elasticity models
  • Market maturity and lifecycle-based projections

Scenario Analysis

Given inherent uncertainties, three scenarios were constructed:

  • Base-Case Scenario: Expected trajectory under current conditions
  • Optimistic Scenario: High adoption, favourable regulation, strong economic tailwinds
  • Conservative Scenario: Slow adoption, regulatory delays, economic constraints

Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.

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Frequently Asked Questions

Digital Therapeutics for Chronic Pain Market is valued at US$ 3.0 Bn in 2024 and it is expected to reach US$ 23.58 Bn by 2034, with a CAGR of 23.0% during the forecast period of 2025-2034.

The major players in the Digital Therapeutics for Chronic Pain market are Omada Health, Kaia Health, Pear Therapeutics, Fitbit, Propeller Health, Biofourmis, Click Therapeutics, Happify Health, Akili Interactive, Better Therapeutics, Altoida, Kaiku Health, Curable, Pathway Genomics, Twill, AppliedVR, Mymee, SWORD Health, MedRhythms, MindMaze, Cognoa, Welldoc, Newtopia, Grand Rounds, and Hinge Health.

The primary Digital Therapeutics for Chronic Pain market segments are Type, Delivery Mode, Application, and End-use.

North America leads the market for Digital Therapeutics for Chronic Pain due to region\'s strong rates of wearable and mobile technology use, sophisticated digital health infrastructure, and encouraging reimbursement practices.

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