The Asia Pacific ModelOps Market is expected to witness market growth of 40.9% CAGR during the forecast period (2024-2031).
The China market dominated the Asia Pacific ModelOps Market by country in 2023, and is expected to continue to be a dominant market till 2031; thereby, achieving a market value of $4.63 billion by 2031. The Japan market is registering a CAGR of 40.1% during 2024-2031. Additionally, the India market is expected to showcase a CAGR of 42% during 2024-2031.
Beyond operational scalability, they ensures governance and compliance, which are crucial for sectors such as finance, healthcare, and telecommunications, where regulatory adherence and transparency are paramount. By providing tools to document model behavior, track changes, and monitoring issues like data drift, they ensures AI models remain reliable and aligned with organizational goals.
The emergence of edge computing and hybrid cloud environments has significantly increased the demand for these solutions. As businesses deploy AI models in decentralized environments, the need for consistent performance and reliability becomes even more critical. These platforms enable organizations to manage models deployed across diverse infrastructures, ensuring they perform optimally regardless of location.
The Asia-Pacific region presents a dynamic and rapidly evolving this market, driven by the diverse applications of AI across industries and strong government backing for digital transformation. China’s healthcare and life sciences sector drives significant demand for this, fueled by the government’s focus on AI-enabled healthcare solutions. AI is increasingly used for early disease detection, personalized treatments, and optimizing healthcare delivery. Similarly, the financial sector in Japan is leveraging these solutions alongside 5G and AI to enhance its operations and competitiveness. With three megabanks holding combined assets of USD 5.7 trillion as of March 2023 and Japan Post Bank managing assets worth USD 1.7 trillion, the sector increasingly relies on advanced data management and automated model deployment for secure and efficient operations. By implementing ModelOps, Japanese financial institutions can guarantee the robustness and reliability of their artificial intelligence models, thereby improving decision-making processes and ensuring adherence to evolving regulatory requirements. Therefore, Asia-Pacific is emerging as a key player in this market, offering immense potential for growth and innovation.
The China market dominated the Asia Pacific ModelOps Market by country in 2023, and is expected to continue to be a dominant market till 2031; thereby, achieving a market value of $4.63 billion by 2031. The Japan market is registering a CAGR of 40.1% during 2024-2031. Additionally, the India market is expected to showcase a CAGR of 42% during 2024-2031.
Beyond operational scalability, they ensures governance and compliance, which are crucial for sectors such as finance, healthcare, and telecommunications, where regulatory adherence and transparency are paramount. By providing tools to document model behavior, track changes, and monitoring issues like data drift, they ensures AI models remain reliable and aligned with organizational goals.
The emergence of edge computing and hybrid cloud environments has significantly increased the demand for these solutions. As businesses deploy AI models in decentralized environments, the need for consistent performance and reliability becomes even more critical. These platforms enable organizations to manage models deployed across diverse infrastructures, ensuring they perform optimally regardless of location.
The Asia-Pacific region presents a dynamic and rapidly evolving this market, driven by the diverse applications of AI across industries and strong government backing for digital transformation. China’s healthcare and life sciences sector drives significant demand for this, fueled by the government’s focus on AI-enabled healthcare solutions. AI is increasingly used for early disease detection, personalized treatments, and optimizing healthcare delivery. Similarly, the financial sector in Japan is leveraging these solutions alongside 5G and AI to enhance its operations and competitiveness. With three megabanks holding combined assets of USD 5.7 trillion as of March 2023 and Japan Post Bank managing assets worth USD 1.7 trillion, the sector increasingly relies on advanced data management and automated model deployment for secure and efficient operations. By implementing ModelOps, Japanese financial institutions can guarantee the robustness and reliability of their artificial intelligence models, thereby improving decision-making processes and ensuring adherence to evolving regulatory requirements. Therefore, Asia-Pacific is emerging as a key player in this market, offering immense potential for growth and innovation.
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
- China
- Japan
- India
- South Korea
- Australia
- Malaysia
- Rest of Asia Pacific
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. Europe ModelOps Market by Offering
Chapter 6. Europe ModelOps Market by Model
Chapter 7. Europe ModelOps Market by Deployment
Chapter 8. Europe ModelOps Market by Vertical
Chapter 9. Europe ModelOps Market by Application
Chapter 10. Europe 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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