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Industry AIPath 2021

Industry AIPath 2021 provides deep insight into the use and impact of AI/ML within each industry, 8 enterprise software application markets, and over 200 industry applications and use cases.

Industries includes healthcare (payers, providers, and life sciences), manufacturing (discrete and process), financial services (banking, insurance, and capital markets), retail, energy (oil and gas and utilities), and government.

Enterprise applications include ERP, finance, CRM, SCM, core HR, procurement, EAM, and digital commerce.


Markets and Subjects Analyzed

  • 12 industries including healthcare (payers, providers, and life sciences), manufacturing (discrete and process), financial services (banking, insurance, and capital markets), retail, energy (oil and gas and utilities), and government
  • 8 functional application markets including ERP, finance, CRM, SCM, core HR, procurement, EAM, and digital commerce
  • AI adoption, areas of utilization, and budget plans
  • Technology buyer wants, needs, and challenges
  • AI usage and impact on several hundred DX and functional use cases
  • Value creation, perceived ROI, and business case drivers and inhibitors
  • Future investment and adoption timing, and the impact of industry regulations and compliance
  • Industry AI maturity benchmarking, performance metrics, and best practices
  • Assessments of vendors and optimization of products and services by industry

Core Research

  • Industry AIPath: Worldwide Findings Banner Book
  • Industry AIPath: Additional 20+ Banner Books — Findings by App/Industry/Country/Region
  • Industry AIPath: Executive Summary PPT Report
  • Industry AIPath: Vendor Ratings PPT Report
  • Industry AIPath: Additional Survey Spotlights on Key Findings

In addition to the insight provided in this service, IDC may conduct research on specific topics or emerging market segments via research offerings that require additional IDC funding and client investment.


Key Questions Answered

  1. How is AI/ML being utilized in each industry, within over 100+ applications and DX use cases?
  2. How is AI/ML being utilized within enterprise applications, which business process and workflows is it impacting/enhancing, and what incremental value is it creating?
  3. How are companies planning to utilize AI, are they planning to build or buy, how are their budgets being formed, and in which area is technology buyer demand greatest?
  4. What concerns do companies have about AI/ML, and how are those perceived challenges impacting adoption?
  5. How does the market view each enterprise vendor's utilization of AI/ML within their applications? Are customers happy with current AI abilities, or do they believe their vendor is missing the mark?
  6. Which industries hold the greatest demand and opportunity for further infusion of AI/ML into products and services?

Related Links


Meet the Experts
Eric Newmark

Program Vice President of IDC’s SaaS, Enterprise Apps, Industry Cloud, and Digital Commerce division

Ritu Jyoti

Program Vice President, Worldwide Artificial Intelligence and Automation Research Practice, Global AI Research Lead