Worldwide AI Life-Cycle Software Market Shares, 2022: A Focus on Governance and MLOps
This IDC study presents a view of worldwide artificial intelligence (AI) life-cycle software revenue broken down by vendor for the historical year 2022."Enterprise organizations focused more diligently on MLOps in 2022, attempting to reap the benefits of their AI investments by putting more models into production," says Kathy Lange, research director, AI and Automation Software research at IDC. "Greater automation within the AI life cycle to reduce manual handoffs and increase collaboration across skill sets will be critical to increasing model velocity. Along with technology, trust is among the most significant barriers to AI adoption. MLOps methodologies provide a solution for the growing need for greater transparency and explainability of data and model results to promote confidence in AI/ML–based applications."
Please Note: Extended description available upon request.
- IDC Market Share Figure
- Executive Summary
- Advice for Technology Suppliers
- Enable Non-Data Scientists to Perform Machine Learning Tasks
- Focus on Data-Centric Processes
- Incorporate Synthetic Data
- Enhance Trustworthy AI Features
- Strengthen Machine Learning Operations and Governance
- Augment Capabilities with Generative AI
- Market Share
- Who Shaped the Year
- Market Context
- Lack of AI Talent
- Data-Centric Focus
- Trustworthy AI
- Machine Learning Operations and Governance
- AI/ML Ecosystems
- Open Source Tools and Frameworks
- Significant Market Developments
- Methodology
- Market Definition
- AI Life-Cycle Software
- Data Labeling Software
- AI Build Software
- MLOps Software
- Trustworthy AI Software
- Related Research
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