The Model Serving Platforms Market is being driven by Proliferation and Increasing Complexity of AI Models, Particularly Generative AI
The Model Serving Platforms Market is expected to grow at a CAGR of 40.9% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 10049.2 million. The Model Serving Platforms market is experiencing significant growth due to the increasing prevalence of generative artificial intelligence, specifically large language models (LLMs). Prior to this trend, machine learning models were relatively small, designed for specific tasks like classification or regression, and their deployment, while complex, was manageable. However, the emergence and widespread adoption of massive, multi-billion parameter foundation models, such as those in the GPT series, Llama family, and Claude series, have drastically changed the technical landscape. These advanced models pose unique and formidable challenges that render traditional serving methods inadequate and economically unviable for most organizations. As a result, there is an urgent need for specialized serving infrastructure to efficiently and effectively manage the deployment and execution of these complex models.
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The market is segmented based on
According to Technavio, There are several factors that are causing the market to flourish during the forecast period, which are as follows:
However, the market also witnesses some limitations, which are as follows:
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Market Scope |
|
Report Coverage |
Details |
Page number |
235 |
Base year |
2024 |
Historic period |
2019-2023 |
Forecast period |
2025-2029 |
Growth momentum & CAGR |
Accelerate at a CAGR of 40.9% |
Market growth 2025-2029 |
USD 10049.2 million |
Market structure |
fragmentation |
YoY growth 2024-2025(%) |
38.4 |
Key countries |
US, China, Germany, Japan, Canada, UK, India, France, South Korea, and Brazil |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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Model Serving Platforms Market offers solutions comprising of an Inference Engine, Prediction Service, Model Repository, Model Registry, Serving Infrastructure, Model Packaging, Model Scoring, Deployment Automation, Monitoring Dashboards, Alerting System, Model Bias Detection, Data Drift Detection, Model Degradation, Model Rollback, Model Retraining Frequency, Model Accuracy, Prediction Accuracy, Throughput Rate, Cost Optimization, Hardware Acceleration, Software Optimization, Platform Scalability, Deployment Strategy, Security Protocols, Access Control, API Documentation, Model Updates, Model Version Control, and Model Lineage. These components ensure efficient and accurate model deployment, monitoring, and management.
In the dynamic IT software industry, Model Serving Platforms represent a significant segment, encompassing companies specializing in model deployment pipelines, REST API integration, container orchestration, and model versioning systems. These platforms enable businesses to efficiently integrate machine learning models into their applications, streamline workflows, and ensure seamless model versioning and deployment. The global market for Model Serving Platforms is a subset of the broader IT software sector, which encompasses application, system, and database management software providers. According to market intelligence firm Technavio, the IT software market size is determined by the consolidated revenue of all software vendors, including those offering cloud-based solutions. The application software market specifically focuses on businesses that develop and distribute software for specialized business or consumer applications, excluding those producing systems or database management software.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.
Technavio Research
Jesse Maida
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