Asia/Pacific (Excluding Japan) Artificial Intelligence Life-Cycle Software Forecast, 2020–2025
According to IDC's software taxonomy, the AI life-cycle software market covers the tools and technologies used by data scientists and machine learning (ML) developers from the experimentation to production deployments of AI and ML solutions. It includes four named submarkets: data labeling software, AI model build software, MLOps software, and trustworthy AI software. Detailed definitions of these four submarkets can be found in IDC's Worldwide Software Taxonomy, 2021 (IDC #US47588620, April 2021).According to Dr. Chris Marshall, associate VP, IDC Asia Pacific, "For AI solutions to scale, AI life-cycle software must play an ever increasing role. AI’s promise must be accompanied by measures and controls to counter risks, bias, and drifts consistently and in an end-to-end manner."
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
- Agile Innovation But the Move to Cloud Continues
- Increasing Demand of Model Explainability from the Business Stakeholders
- Inhibitors
- Visible Trajectory of Regulations on AI
- Changed Spending Priority Caused by Geopolitical Unrest
- Significant Market Developments
- Google Cloud Platform Has Vertex AI as a Unified ML Platform
- Alibaba Cloud Offers Ali Lingjie as the Integrated Platform for Big Data and AI
- Amazon SageMaker Provides Serverless Inference
- Hewlett Packard Enterprise Launches Machine Learning Development System
- Changes from Prior Forecast
- Market Definition
- Methodology
- Related Research
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