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AI Impact on Substance Use Disorder and Treatments Market - Pulse Report

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    Report

  • 11 Pages
  • May 2026
  • Region: Global
  • BCC Research
  • ID: 6248905
Artificial intelligence (AI) can improve substance use disorder (SUD) diagnosis and treatment by enabling earlier detection through predictive analysis of electronic health records, prescription data, and behavioral patterns to identify high-risk individuals before conditions worsen. AI also supports personalized treatment by optimizing medication selection, dosing, and adherence monitoring, while digital therapeutics and chatbots provide continuous behavioral support beyond clinical settings. Overall, AI can enhance clinical outcomes, reduce gaps in care, and expand access to SUD management, especially in underserved and resource-limited populations.

Report Includes

  • Impact analysis of artificial intelligence (AI) on the substance use disorder (SUD) and treatment market
  • Case studies for successful integration of AI and machine learning algorithms in early detection and risk prediction, personalized treatment, digital therapeutics and virtual support
  • Review of AI’s impact across the major geographic regions and end-user industries
  • Review of disruptions caused by AI across key industry verticals and the impact on various stages of global supply chain
  • Competitive landscape featuring strategic initiatives, market spendings and VC funding outlook

Table of Contents

Chapter 1 Key Use Cases for AI Adoption in Substance Use Disorders and Treatment Market
  • Overview
  • Key Use Cases/Case Studies
  • Case 1: Early Risk Identification and Screening
  • Case 2: Virtual Therapists and AI-powered Support Systems
  • Case 3: Improving Access to Care Through AI
  • Case 4: Drug Discovery and Development
Chapter 2 AI Adoption Trends
  • Adoption Trends Across SUD Management Continuum
  • Adoption Trends in SUD Screening and Diagnosis
  • Adoption Trends in SUD Treatment
  • Adoption Trends in Relapse Monitoring
  • Adoption Trends in Population Analytics
Chapter 3 AI Disruption Trends
  • AI-led Disruption Across the Substance Use Disorder (SUD) Care Continuum
  • Early Screening and Diagnostic Precision
  • Drug Discovery and Development
  • Personalized Pharmacotherapy Management
  • Expansion of Treatment Access and Coverage
  • Virtual Therapists and AI-Powered Support Systems
Chapter 4 Market Spending and Investment Scenario
  • Overview
Chapter 5 Abbreviations
  • Abbreviations Used in the Report
List of Tables
Table 1: Companies Using AI in SUD Care
Table 2: Abbreviations Used in This Report

List of Figures
Figure 1: AI Application Areas and Impact Across the SUD Care Continuum