The Europe ModelOps Market is expected to witness market growth of 39.7% CAGR during the forecast period (2024-2031).
The Germany market dominated the Europe ModelOps Market by country in 2023, and is expected to continue to be a dominant market till 2031; thereby, achieving a market value of $3.76 billion by 2031. The UK market is exhibiting a CAGR of 38.5% during 2024-2031. Additionally, the France market is expected to experience a CAGR of 40.9% during 2024-2031.
At its core, they offers a structured approach to managing the entire lifecycle of AI and ML models, from development to retirement. This includes automating key tasks such as model deployment, performance monitoring, version control, and retraining. Automation is a critical feature of this, as it allows organizations to handle the increasing complexity and volume of models being deployed across multiple environments, including cloud, on-premises, and edge computing.
The increasing reliance on AI to drive innovation and improve business outcomes has created a growing demand for scalable AI solutions that can handle the complexities of deploying, monitoring, and maintaining models across diverse environments. As organizations scale their AI initiatives, they face challenges such as ensuring consistent performance, managing multiple models, and addressing the unique requirements of cloud, on-premises, or edge deployments.
This market in Europe is marked by its diverse applications across key industries, underpinned by the region’s focus on innovation, sustainability, and compliance. France is witnessing increased demand for this in the energy and utilities sector as the country transitions toward renewable energy and smart grids. AI models are being deployed to optimize energy distribution, predict equipment failures, and enhance the efficiency of renewable energy sources like wind and solar. The UK government's £200 million investment in the 5G Testbeds and Trials Programme, part of a £1 billion initiative to support digital infrastructure, aims to accelerate the adoption of advanced technologies. These advancements necessitate the implementation of these solutions to oversee the deployment and monitoring of machine learning models, thereby ensuring the integrity and resilience of the nation's expanding digital infrastructure. Thus, with strong government support, stringent regulations, and ambitious digital transformation strategies, Europe offers a dynamic and fast-evolving landscape for ModelOps adoption.
The Germany market dominated the Europe ModelOps Market by country in 2023, and is expected to continue to be a dominant market till 2031; thereby, achieving a market value of $3.76 billion by 2031. The UK market is exhibiting a CAGR of 38.5% during 2024-2031. Additionally, the France market is expected to experience a CAGR of 40.9% during 2024-2031.
At its core, they offers a structured approach to managing the entire lifecycle of AI and ML models, from development to retirement. This includes automating key tasks such as model deployment, performance monitoring, version control, and retraining. Automation is a critical feature of this, as it allows organizations to handle the increasing complexity and volume of models being deployed across multiple environments, including cloud, on-premises, and edge computing.
The increasing reliance on AI to drive innovation and improve business outcomes has created a growing demand for scalable AI solutions that can handle the complexities of deploying, monitoring, and maintaining models across diverse environments. As organizations scale their AI initiatives, they face challenges such as ensuring consistent performance, managing multiple models, and addressing the unique requirements of cloud, on-premises, or edge deployments.
This market in Europe is marked by its diverse applications across key industries, underpinned by the region’s focus on innovation, sustainability, and compliance. France is witnessing increased demand for this in the energy and utilities sector as the country transitions toward renewable energy and smart grids. AI models are being deployed to optimize energy distribution, predict equipment failures, and enhance the efficiency of renewable energy sources like wind and solar. The UK government's £200 million investment in the 5G Testbeds and Trials Programme, part of a £1 billion initiative to support digital infrastructure, aims to accelerate the adoption of advanced technologies. These advancements necessitate the implementation of these solutions to oversee the deployment and monitoring of machine learning models, thereby ensuring the integrity and resilience of the nation's expanding digital infrastructure. Thus, with strong government support, stringent regulations, and ambitious digital transformation strategies, Europe offers a dynamic and fast-evolving landscape for ModelOps adoption.
List of Key Companies Profiled
- Google LLC (Alphabet Inc.)
- Hewlett Packard Enterprise Company
- IBM Corporation
- Microsoft Corporation
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- H2O.ai, Inc.
- Cloudera, Inc.
- SAS Institute Inc.
- DataRobot, Inc.
- Domino Data Lab, Inc.
Market Report Segmentation
By Offering
- Platforms
- Services
By Model
- ML Models
- Graph-Based Models
- Rule & Heuristic Models
- Linguistic Models
- Agent-Based Models & Others
By Deployment
- Cloud
- On-Premise
By Vertical
- BFSI
- Retail & E-Commerce
- Healthcare & Life Sciences
- Manufacturing
- IT & Telecommunications
- Transportation & Logistics
- Energy, Utilities & Others
By Application
- Continuous Integration/ Continuous Deployment
- Model Lifecycle Management
- Batch Scoring
- Governance, Risk & Compliance
- Monitoring & Alerting
- Parallelization & Distributed Computing
- Dashboard & Reporting
- Other Application
By Country
- Germany
- UK
- France
- Russia
- Spain
- Italy
- Rest of Europe
Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market at a Glance
Chapter 3. Market Overview
Chapter 4. Competition Analysis - Global
Chapter 5. Asia Pacific ModelOps Market by Offering
Chapter 6. Asia Pacific ModelOps Market by Model
Chapter 7. Asia Pacific ModelOps Market by Deployment
Chapter 8. Asia Pacific ModelOps Market by Vertical
Chapter 9. Asia Pacific ModelOps Market by Application
Chapter 10. Asia Pacific ModelOps Market by Country
Chapter 11. Company Profiles
Companies Mentioned
- Google LLC (Alphabet Inc.)
- Hewlett Packard Enterprise Company
- IBM Corporation
- Microsoft Corporation
- Amazon Web Services, Inc. (Amazon.com, Inc.)
- H2O.ai, Inc.
- Cloudera, Inc.
- SAS Institute Inc.
- DataRobot, Inc.
- Domino Data Lab, Inc.
Methodology
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