Worldwide AI Life-Cycle Software Forecast, 2023–2027
This IDC study presents a view of worldwide AI life-cycle software revenue from the historical year 2022 to the five forecast years 2023–2027. This includes insight into developments that will influence future forecast demand during the period. "Despite the economic challenges in 2022, the AI life-cycle software market showed strong growth with projected flat or increased spending in 2023," said Kathy Lange, research director, IDC's AI and Automation research. "The frenzy around generative AI has brought all forms of AI back into the limelight. IDC expects this growth trend to continue through 2023 and beyond as foundation models become more accessible and are embedded into AI–enabled applications. Synthetic data, federated learning, and reinforcement learning will enable new ML use cases at lower costs and greater privacy. Vendors will enhance model performance by re-architecting model processing for better compute resource optimization."
Please Note: Extended description available upon request.
- IDC Market Forecast Figure
- Executive Summary
- Advice for Technology Suppliers
- Market Forecast
- Market Context
- Drivers and Inhibitors
- Drivers
- Foundation Model Accessibility
- Continued Democratization of AI/ML Capabilities
- Inhibitors
- Lack of Automation for Data Preparation and Data Enrichment
- Lack of MLOps Tools and Talent for Scaling
- Increasing Occurrences of Trust Incidents
- Significant Market Developments
- Changes from Prior Forecast
- Market Definition
- AI Life-Cycle Software
- Data Labeling Software
- AI Build Software
- MLOps Software
- Trustworthy AI Software
- Methodology
- Historical and Forecast Market Values and Exchange Rates
- Related Research
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