PUBLISHER: KBV Research | PRODUCT CODE: 1649342
PUBLISHER: KBV Research | PRODUCT CODE: 1649342
The Asia Pacific ModelOps Market would 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 would continue to be a dominant market till 2031; thereby, achieving a market value of $4,634.6 million by 2031. The Japan market is registering a CAGR of 40.1% during (2024 - 2031). Additionally, The India market would 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.
Based on Offering, the market is segmented into Platforms, and Services. Based on Model, the market is segmented into ML Models, Graph-Based Models, Rule & Heuristic Models, Linguistic Models, and Agent-Based Models & Others. Based on Deployment, the market is segmented into Cloud, and On-Premise. Based on Vertical, the market is segmented into BFSI, Retail & E-Commerce, Healthcare & Life Sciences, Manufacturing, IT & Telecommunications, Transportation & Logistics, and Energy, Utilities & Others. Based on Application, the market is segmented into Continuous Integration/ Continuous Deployment, Model Lifecycle Management, Batch Scoring, Governance, Risk & Compliance, Monitoring & Alerting, Parallelization & Distributed Computing, Dashboard & Reporting, and Other Application. Based on countries, the market is segmented into China, Japan, India, South Korea, Australia, Malaysia, and Rest of Asia Pacific.
List of Key Companies Profiled
Asia Pacific ModelOps Market Report Segmentation
By Offering
By Model
By Deployment
By Vertical
By Application
By Country