세계의 모델옵스(ModelOps) 시장(2024-2031년) : 시장 규모, 점유율 및 동향 분석(제공 내용별, 모델별, 전개 방식별, 업종별, 용도별), 지역별 전망 및 예측

The Global ModelOps Market size is expected to reach $58.07 billion by 2031, rising at a market growth of 40.2% CAGR during the forecast period.

The North America segment garnered 36% revenue share in the market in 2023. This prominence is attributed to the region's advanced technological infrastructure, substantial investments in artificial intelligence (AI) and machine learning (ML), and the presence of numerous leading technology firms. Industries such as finance, healthcare, and retail in North America are increasingly adopting these solutions to streamline AI model deployment and management, ensuring compliance with stringent regulatory standards and enhancing operational efficiency.

Companies leverage AI and ML to optimize operations, streamline workflows, and uncover insights that drive smarter decision-making. For example, in the financial sector, artificial intelligence models are employed for the purposes of fraud detection and risk assessment. Conversely, in the retail industry, these models facilitate personalized recommendations and optimize inventory management. Hence, this combination of technological capability and operational efficiency is driving the rapid adoption of ModelOps.

Additionally, Operational efficiency has become a top priority for organizations striving to remain agile and competitive in today's fast-paced business environment. A significant challenge in attaining this efficacy resides in the management of the complexities associated with the deployment and maintenance of artificial intelligence and machine learning models within production environments. Thus, these developments aid in the expansion of the market.

However, The dearth of qualified data scientists and machine learning engineers means that organizations often lack the necessary expertise to develop robust machine learning models. This limitation leads to longer development cycles, as existing teams may be overburdened or lack specific skills required for certain projects. Moreover, without adequate ModelOps experts, deploying these models into production environments becomes challenging. Hence, this substantial lack of talent may hamper the expansion of the market.

Offering Outlook

Based on offering, the market is bifurcated into platforms and services. The services segment procured 34% revenue share in the market in 2023. The increasing complexity of AI models necessitates specialized services to manage and optimize these models effectively. Organizations focus on data-driven decision-making, which requires customized solutions tailored to specific business needs.

Model Outlook

By model, the market is divided into ML models, graph-based models, rule & heuristic models, linguistic models, agent-based models, and others. The graph-based models segment garnered 16% revenue share in the market in 2023. Social media, telecommunications, and cybersecurity use graph-based models to detect patterns, identify anomalies, and understand intricate network structures. The rising need for advanced analytics to navigate complex data relationships drives the demand for these solutions tailored to efficiently manage and operationalize graph-based models.

Deployment Outlook

On the basis of deployment, the market is classified into cloud and on-premise. The on-premise segment recorded 38% revenue share in the market in 2023. Industries such as finance, healthcare, and government, which handle sensitive and confidential information, often prefer on-premises ModelOps solutions to ensure adherence to stringent regulatory requirements and mitigate data breach risks.

Vertical Outlook

On the basis of vertical, the market is classified into BFSI, retail & e-commerce, healthcare & life sciences, manufacturing, IT & telecommunications, energy & utilities, transportation & logistics, and others. The healthcare & life sciences segment witnessed 15% revenue share in the market in 2023. The sector is increasingly adopting ModelOps to advance personalized medicine, improve diagnostic accuracy, and streamline administrative processes. The integration of AI models facilitates the analysis of complex medical data, leading to better patient outcomes and optimized treatment plans.

Application Outlook

Based on application, the market is segmented into continuous integration/continuous deployment, batch scoring, governance, risk & compliance, parallelization & distributed computing, monitoring & alerting, dashboard & reporting, model lifecycle management, and others. The batch scoring segment recorded 15% revenue share in the market in 2023. Batch scoring involves processing large volumes of data to generate predictions or insights at scheduled intervals. Industries such as finance and retail utilize batch scoring to analyze historical data for risk assessment, customer segmentation, and inventory management.

Regional Outlook

Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The Europe segment procured 31% revenue share in the market in 2023. This market in Europe is significantly influenced by the region's robust commitment to data privacy and regulatory compliance, as evidenced by frameworks such as the General Data Protection Regulation (GDPR). Businesses in a variety of industries, such as manufacturing, healthcare, and finance, are investing in these solutions to ensure that their AI models adhere to these strict guidelines.

Recent Strategies Deployed in the Market

• Jan-2025: IBM and e& have formed a strategic partnership to launch an end-to-end AI governance platform. This solution utilizes IBM's watsonx.governance platform, aiming to strengthen e&'s AI governance framework through automated risk management, compliance monitoring, and real-time performance analysis. IBM Consulting will assist e& in implementing the framework, accelerating its development with persona mapping, market research, and architecture patterns.
• Oct-2024: AWS and Box, a leading cloud-based Intelligent Content Management (ICM) platform, have expanded their strategic partnership to bring advanced generative AI models to enterprise content. Box now integrates Amazon Bedrock, offering foundation models like Anthropic's Claude and Amazon Titan for custom AI applications. Customers can leverage their data in Box's Intelligent Content Cloud for secure, scalable AI use cases, unlocking insights, content generation, and workflow automation across industries. The integration with Amazon Q Business further empowers businesses to apply generative AI while maintaining security and privacy.
• Jul-2024: DataRobot, Inc. partnered with Teradata, a leading provider of data and analytics solutions, to integrate its AI Platform with Teradata VantageCloud and ClearScape Analytics. This integration enables enterprises to scale DataRobot's AI models within VantageCloud, offering enhanced flexibility, accountability, and security in deploying models. By leveraging ClearScape Analytics' BYOM capability, users can now operationalize AI models at scale while optimizing costs, empowering businesses to accelerate their AI journey and unlock the full potential of their data.
• Dec-2023: Google LLC launched its Gemini AI model, introducing multimodal capabilities to enhance its services across text, images, and audio. Gemini outperforms GPT-4 in most benchmarks, especially in coding, and will power products like Google Bard. Available via Google Cloud's Vertex AI for enterprise customers, Gemini promises improved efficiency, security, and scalability, marking a significant leap in Google's AI efforts.
• Jul-2023: Microsoft and Meta expanded their partnership by supporting the Llama 2 family of large language models (LLMs) on Azure and Windows. This collaboration enables developers to fine-tune and deploy Llama 2 models at scale on Azure, benefiting from powerful tools for training, fine-tuning, and inference. Windows developers also gain the ability to optimize Llama 2 locally using the DirectML execution provider. The collaboration underscores Microsoft's commitment to offering a robust AI ecosystem and ensuring safety and performance in generative AI development.

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.

Global ModelOps 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 Geography

• North America
  • US
  • Canada
  • Mexico
  • Rest of North America
• Europe
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Malaysia
  • Rest of Asia Pacific
• LAMEA
  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
  • Rest of LAMEA

Table of Contents

Chapter 1. Market Scope & Methodology

• 1.1 Market Definition
• 1.2 Objectives
• 1.3 Market Scope
• 1.4 Segmentation
  • 1.4.1 Global ModelOps Market, by Offering
  • 1.4.2 Global ModelOps Market, by Model
  • 1.4.3 Global ModelOps Market, by Deployment
  • 1.4.4 Global ModelOps Market, by Vertical
  • 1.4.5 Global ModelOps Market, by Application
  • 1.4.6 Global ModelOps Market, by Geography
• 1.5 Methodology for the research

Chapter 2. Market at a Glance

• 2.1 Key Highlights

Chapter 3. Market Overview

• 3.1 Introduction
  • 3.1.1 Overview
    • 3.1.1.1 Market Composition and Scenario
• 3.2 Key Factors Impacting the Market
  • 3.2.1 Market Drivers
  • 3.2.2 Market Restraints
  • 3.2.3 Market Opportunities
  • 3.2.4 Market Challenges

Chapter 4. Competition Analysis - Global

• 4.1 Market Share Analysis, 2023
• 4.2 Strategies Deployed in ModelOps Market
• 4.3 Porter Five Forces Analysis

Chapter 5. Global ModelOps Market by Offering

• 5.1 Global Platforms Market by Region
• 5.2 Global Services Market by Region

Chapter 6. Global ModelOps Market by Model

• 6.1 Global ML Models Market by Region
• 6.2 Global Graph-Based Models Market by Region
• 6.3 Global Rule & Heuristic Models Market by Region
• 6.4 Global Linguistic Models Market by Region
• 6.5 Global Agent-Based Models & Others Market by Region

Chapter 7. Global ModelOps Market by Deployment

• 7.1 Global Cloud Market by Region
• 7.2 Global On-Premise Market by Region

Chapter 8. Global ModelOps Market by Vertical

• 8.1 Global BFSI Market by Region
• 8.2 Global Retail & E-Commerce Market by Region
• 8.3 Global Healthcare & Life Sciences Market by Region
• 8.4 Global Manufacturing Market by Region
• 8.5 Global IT & Telecommunications Market by Region
• 8.6 Global Transportation & Logistics Market by Region
• 8.7 Global Energy, Utilities & Others Market by Region

Chapter 9. Global ModelOps Market by Application

• 9.1 Global Continuous Integration/ Continuous Deployment Market by Region
• 9.2 Global Model Lifecycle Management Market by Region
• 9.3 Global Batch Scoring Market by Region
• 9.4 Global Governance, Risk & Compliance Market by Region
• 9.5 Global Monitoring & Alerting Market by Region
• 9.6 Global Parallelization & Distributed Computing Market by Region
• 9.7 Global Dashboard & Reporting Market by Region
• 9.8 Global Other Application Market by Region

Chapter 10. Global ModelOps Market by Region

• 10.1 North America ModelOps Market
  • 10.1.1 North America ModelOps Market by Offering
    • 10.1.1.1 North America Platforms Market by Region
    • 10.1.1.2 North America Services Market by Region
  • 10.1.2 North America ModelOps Market by Model
    • 10.1.2.1 North America ML Models Market by Country
    • 10.1.2.2 North America Graph-Based Models Market by Country
    • 10.1.2.3 North America Rule & Heuristic Models Market by Country
    • 10.1.2.4 North America Linguistic Models Market by Country
    • 10.1.2.5 North America Agent-Based Models & Others Market by Country
  • 10.1.3 North America ModelOps Market by Deployment
    • 10.1.3.1 North America Cloud Market by Country
    • 10.1.3.2 North America On-Premise Market by Country
  • 10.1.4 North America ModelOps Market by Vertical
    • 10.1.4.1 North America BFSI Market by Country
    • 10.1.4.2 North America Retail & E-Commerce Market by Country
    • 10.1.4.3 North America Healthcare & Life Sciences Market by Country
    • 10.1.4.4 North America Manufacturing Market by Country
    • 10.1.4.5 North America IT & Telecommunications Market by Country
    • 10.1.4.6 North America Transportation & Logistics Market by Country
    • 10.1.4.7 North America Energy, Utilities & Others Market by Country
  • 10.1.5 North America ModelOps Market by Application
    • 10.1.5.1 North America Continuous Integration/ Continuous Deployment Market by Country
    • 10.1.5.2 North America Model Lifecycle Management Market by Country
    • 10.1.5.3 North America Batch Scoring Market by Country
    • 10.1.5.4 North America Governance, Risk & Compliance Market by Country
    • 10.1.5.5 North America Monitoring & Alerting Market by Country
    • 10.1.5.6 North America Parallelization & Distributed Computing Market by Country
    • 10.1.5.7 North America Dashboard & Reporting Market by Country
    • 10.1.5.8 North America Other Application Market by Country
  • 10.1.6 North America ModelOps Market by Country
    • 10.1.6.1 US ModelOps Market
      • 10.1.6.1.1 US ModelOps Market by Offering
      • 10.1.6.1.2 US ModelOps Market by Model
      • 10.1.6.1.3 US ModelOps Market by Deployment
      • 10.1.6.1.4 US ModelOps Market by Vertical
      • 10.1.6.1.5 US ModelOps Market by Application
    • 10.1.6.2 Canada ModelOps Market
      • 10.1.6.2.1 Canada ModelOps Market by Offering
      • 10.1.6.2.2 Canada ModelOps Market by Model
      • 10.1.6.2.3 Canada ModelOps Market by Deployment
      • 10.1.6.2.4 Canada ModelOps Market by Vertical
      • 10.1.6.2.5 Canada ModelOps Market by Application
    • 10.1.6.3 Mexico ModelOps Market
      • 10.1.6.3.1 Mexico ModelOps Market by Offering
      • 10.1.6.3.2 Mexico ModelOps Market by Model
      • 10.1.6.3.3 Mexico ModelOps Market by Deployment
      • 10.1.6.3.4 Mexico ModelOps Market by Vertical
      • 10.1.6.3.5 Mexico ModelOps Market by Application
    • 10.1.6.4 Rest of North America ModelOps Market
      • 10.1.6.4.1 Rest of North America ModelOps Market by Offering
      • 10.1.6.4.2 Rest of North America ModelOps Market by Model
      • 10.1.6.4.3 Rest of North America ModelOps Market by Deployment
      • 10.1.6.4.4 Rest of North America ModelOps Market by Vertical
      • 10.1.6.4.5 Rest of North America ModelOps Market by Application
• 10.2 Europe ModelOps Market
  • 10.2.1 Europe ModelOps Market by Offering
    • 10.2.1.1 Europe Platforms Market by Country
    • 10.2.1.2 Europe Services Market by Country
  • 10.2.2 Europe ModelOps Market by Model
    • 10.2.2.1 Europe ML Models Market by Country
    • 10.2.2.2 Europe Graph-Based Models Market by Country
    • 10.2.2.3 Europe Rule & Heuristic Models Market by Country
    • 10.2.2.4 Europe Linguistic Models Market by Country
    • 10.2.2.5 Europe Agent-Based Models & Others Market by Country
  • 10.2.3 Europe ModelOps Market by Deployment
    • 10.2.3.1 Europe Cloud Market by Country
    • 10.2.3.2 Europe On-Premise Market by Country
  • 10.2.4 Europe ModelOps Market by Vertical
    • 10.2.4.1 Europe BFSI Market by Country
    • 10.2.4.2 Europe Retail & E-Commerce Market by Country
    • 10.2.4.3 Europe Healthcare & Life Sciences Market by Country
    • 10.2.4.4 Europe Manufacturing Market by Country
    • 10.2.4.5 Europe IT & Telecommunications Market by Country
    • 10.2.4.6 Europe Transportation & Logistics Market by Country
    • 10.2.4.7 Europe Energy, Utilities & Others Market by Country
  • 10.2.5 Europe ModelOps Market by Application
    • 10.2.5.1 Europe Continuous Integration/ Continuous Deployment Market by Country
    • 10.2.5.2 Europe Model Lifecycle Management Market by Country
    • 10.2.5.3 Europe Batch Scoring Market by Country
    • 10.2.5.4 Europe Governance, Risk & Compliance Market by Country
    • 10.2.5.5 Europe Monitoring & Alerting Market by Country
    • 10.2.5.6 Europe Parallelization & Distributed Computing Market by Country
    • 10.2.5.7 Europe Dashboard & Reporting Market by Country
    • 10.2.5.8 Europe Other Application Market by Country
  • 10.2.6 Europe ModelOps Market by Country
    • 10.2.6.1 Germany ModelOps Market
      • 10.2.6.1.1 Germany ModelOps Market by Offering
      • 10.2.6.1.2 Germany ModelOps Market by Model
      • 10.2.6.1.3 Germany ModelOps Market by Deployment
      • 10.2.6.1.4 Germany ModelOps Market by Vertical
      • 10.2.6.1.5 Germany ModelOps Market by Application
    • 10.2.6.2 UK ModelOps Market
      • 10.2.6.2.1 UK ModelOps Market by Offering
      • 10.2.6.2.2 UK ModelOps Market by Model
      • 10.2.6.2.3 UK ModelOps Market by Deployment
      • 10.2.6.2.4 UK ModelOps Market by Vertical
      • 10.2.6.2.5 UK ModelOps Market by Application
    • 10.2.6.3 France ModelOps Market
      • 10.2.6.3.1 France ModelOps Market by Offering
      • 10.2.6.3.2 France ModelOps Market by Model
      • 10.2.6.3.3 France ModelOps Market by Deployment
      • 10.2.6.3.4 France ModelOps Market by Vertical
      • 10.2.6.3.5 France ModelOps Market by Application
    • 10.2.6.4 Russia ModelOps Market
      • 10.2.6.4.1 Russia ModelOps Market by Offering
      • 10.2.6.4.2 Russia ModelOps Market by Model
      • 10.2.6.4.3 Russia ModelOps Market by Deployment
      • 10.2.6.4.4 Russia ModelOps Market by Vertical
      • 10.2.6.4.5 Russia ModelOps Market by Application
    • 10.2.6.5 Spain ModelOps Market
      • 10.2.6.5.1 Spain ModelOps Market by Offering
      • 10.2.6.5.2 Spain ModelOps Market by Model
      • 10.2.6.5.3 Spain ModelOps Market by Deployment
      • 10.2.6.5.4 Spain ModelOps Market by Vertical
      • 10.2.6.5.5 Spain ModelOps Market by Application
    • 10.2.6.6 Italy ModelOps Market
      • 10.2.6.6.1 Italy ModelOps Market by Offering
      • 10.2.6.6.2 Italy ModelOps Market by Model
      • 10.2.6.6.3 Italy ModelOps Market by Deployment
      • 10.2.6.6.4 Italy ModelOps Market by Vertical
      • 10.2.6.6.5 Italy ModelOps Market by Application
    • 10.2.6.7 Rest of Europe ModelOps Market
      • 10.2.6.7.1 Rest of Europe ModelOps Market by Offering
      • 10.2.6.7.2 Rest of Europe ModelOps Market by Model
      • 10.2.6.7.3 Rest of Europe ModelOps Market by Deployment
      • 10.2.6.7.4 Rest of Europe ModelOps Market by Vertical
      • 10.2.6.7.5 Rest of Europe ModelOps Market by Application
• 10.3 Asia Pacific ModelOps Market
  • 10.3.1 Asia Pacific ModelOps Market by Offering
    • 10.3.1.1 Asia Pacific Platforms Market by Country
    • 10.3.1.2 Asia Pacific Services Market by Country
  • 10.3.2 Asia Pacific ModelOps Market by Model
    • 10.3.2.1 Asia Pacific ML Models Market by Country
    • 10.3.2.2 Asia Pacific Graph-Based Models Market by Country
    • 10.3.2.3 Asia Pacific Rule & Heuristic Models Market by Country
    • 10.3.2.4 Asia Pacific Linguistic Models Market by Country
    • 10.3.2.5 Asia Pacific Agent-Based Models & Others Market by Country
  • 10.3.3 Asia Pacific ModelOps Market by Deployment
    • 10.3.3.1 Asia Pacific Cloud Market by Country
    • 10.3.3.2 Asia Pacific On-Premise Market by Country
  • 10.3.4 Asia Pacific ModelOps Market by Vertical
    • 10.3.4.1 Asia Pacific BFSI Market by Country
    • 10.3.4.2 Asia Pacific Retail & E-Commerce Market by Country
    • 10.3.4.3 Asia Pacific Healthcare & Life Sciences Market by Country
    • 10.3.4.4 Asia Pacific Manufacturing Market by Country
    • 10.3.4.5 Asia Pacific IT & Telecommunications Market by Country
    • 10.3.4.6 Asia Pacific Transportation & Logistics Market by Country
    • 10.3.4.7 Asia Pacific Energy, Utilities & Others Market by Country
  • 10.3.5 Asia Pacific ModelOps Market by Application
    • 10.3.5.1 Asia Pacific Continuous Integration/ Continuous Deployment Market by Country
    • 10.3.5.2 Asia Pacific Model Lifecycle Management Market by Country
    • 10.3.5.3 Asia Pacific Batch Scoring Market by Country
    • 10.3.5.4 Asia Pacific Governance, Risk & Compliance Market by Country
    • 10.3.5.5 Asia Pacific Monitoring & Alerting Market by Country
    • 10.3.5.6 Asia Pacific Parallelization & Distributed Computing Market by Country
    • 10.3.5.7 Asia Pacific Dashboard & Reporting Market by Country
    • 10.3.5.8 Asia Pacific Other Application Market by Country
  • 10.3.6 Asia Pacific ModelOps Market by Country
    • 10.3.6.1 China ModelOps Market
      • 10.3.6.1.1 China ModelOps Market by Offering
      • 10.3.6.1.2 China ModelOps Market by Model
      • 10.3.6.1.3 China ModelOps Market by Deployment
      • 10.3.6.1.4 China ModelOps Market by Vertical
      • 10.3.6.1.5 China ModelOps Market by Application
    • 10.3.6.2 Japan ModelOps Market
      • 10.3.6.2.1 Japan ModelOps Market by Offering
      • 10.3.6.2.2 Japan ModelOps Market by Model
      • 10.3.6.2.3 Japan ModelOps Market by Deployment
      • 10.3.6.2.4 Japan ModelOps Market by Vertical
      • 10.3.6.2.5 Japan ModelOps Market by Application
    • 10.3.6.3 India ModelOps Market
      • 10.3.6.3.1 India ModelOps Market by Offering
      • 10.3.6.3.2 India ModelOps Market by Model
      • 10.3.6.3.3 India ModelOps Market by Deployment
      • 10.3.6.3.4 India ModelOps Market by Vertical
      • 10.3.6.3.5 India ModelOps Market by Application
    • 10.3.6.4 South Korea ModelOps Market
      • 10.3.6.4.1 South Korea ModelOps Market by Offering
      • 10.3.6.4.2 South Korea ModelOps Market by Model
      • 10.3.6.4.3 South Korea ModelOps Market by Deployment
      • 10.3.6.4.4 South Korea ModelOps Market by Vertical
      • 10.3.6.4.5 South Korea ModelOps Market by Application
    • 10.3.6.5 Australia ModelOps Market
      • 10.3.6.5.1 Australia ModelOps Market by Offering
      • 10.3.6.5.2 Australia ModelOps Market by Model
      • 10.3.6.5.3 Australia ModelOps Market by Deployment
      • 10.3.6.5.4 Australia ModelOps Market by Vertical
      • 10.3.6.5.5 Australia ModelOps Market by Application
    • 10.3.6.6 Malaysia ModelOps Market
      • 10.3.6.6.1 Malaysia ModelOps Market by Offering
      • 10.3.6.6.2 Malaysia ModelOps Market by Model
      • 10.3.6.6.3 Malaysia ModelOps Market by Deployment
      • 10.3.6.6.4 Malaysia ModelOps Market by Vertical
      • 10.3.6.6.5 Malaysia ModelOps Market by Application
    • 10.3.6.7 Rest of Asia Pacific ModelOps Market
      • 10.3.6.7.1 Rest of Asia Pacific ModelOps Market by Offering
      • 10.3.6.7.2 Rest of Asia Pacific ModelOps Market by Model
      • 10.3.6.7.3 Rest of Asia Pacific ModelOps Market by Deployment
      • 10.3.6.7.4 Rest of Asia Pacific ModelOps Market by Vertical
      • 10.3.6.7.5 Rest of Asia Pacific ModelOps Market by Application
• 10.4 LAMEA ModelOps Market
  • 10.4.1 LAMEA ModelOps Market by Offering
    • 10.4.1.1 LAMEA Platforms Market by Country
    • 10.4.1.2 LAMEA Services Market by Country
  • 10.4.2 LAMEA ModelOps Market by Model
    • 10.4.2.1 LAMEA ML Models Market by Country
    • 10.4.2.2 LAMEA Graph-Based Models Market by Country
    • 10.4.2.3 LAMEA Rule & Heuristic Models Market by Country
    • 10.4.2.4 LAMEA Linguistic Models Market by Country
    • 10.4.2.5 LAMEA Agent-Based Models & Others Market by Country
  • 10.4.3 LAMEA ModelOps Market by Deployment
    • 10.4.3.1 LAMEA Cloud Market by Country
    • 10.4.3.2 LAMEA On-Premise Market by Country
  • 10.4.4 LAMEA ModelOps Market by Vertical
    • 10.4.4.1 LAMEA BFSI Market by Country
    • 10.4.4.2 LAMEA Retail & E-Commerce Market by Country
    • 10.4.4.3 LAMEA Healthcare & Life Sciences Market by Country
    • 10.4.4.4 LAMEA Manufacturing Market by Country
    • 10.4.4.5 LAMEA IT & Telecommunications Market by Country
    • 10.4.4.6 LAMEA Transportation & Logistics Market by Country
    • 10.4.4.7 LAMEA Energy, Utilities & Others Market by Country
  • 10.4.5 LAMEA ModelOps Market by Application
    • 10.4.5.1 LAMEA Continuous Integration/ Continuous Deployment Market by Country
    • 10.4.5.2 LAMEA Model Lifecycle Management Market by Country
    • 10.4.5.3 LAMEA Batch Scoring Market by Country
    • 10.4.5.4 LAMEA Governance, Risk & Compliance Market by Country
    • 10.4.5.5 LAMEA Monitoring & Alerting Market by Country
    • 10.4.5.6 LAMEA Parallelization & Distributed Computing Market by Country
    • 10.4.5.7 LAMEA Dashboard & Reporting Market by Country
    • 10.4.5.8 LAMEA Other Application Market by Country
  • 10.4.6 LAMEA ModelOps Market by Country
    • 10.4.6.1 Brazil ModelOps Market
      • 10.4.6.1.1 Brazil ModelOps Market by Offering
      • 10.4.6.1.2 Brazil ModelOps Market by Model
      • 10.4.6.1.3 Brazil ModelOps Market by Deployment
      • 10.4.6.1.4 Brazil ModelOps Market by Vertical
      • 10.4.6.1.5 Brazil ModelOps Market by Application
    • 10.4.6.2 Argentina ModelOps Market
      • 10.4.6.2.1 Argentina ModelOps Market by Offering
      • 10.4.6.2.2 Argentina ModelOps Market by Model
      • 10.4.6.2.3 Argentina ModelOps Market by Deployment
      • 10.4.6.2.4 Argentina ModelOps Market by Vertical
      • 10.4.6.2.5 Argentina ModelOps Market by Application
    • 10.4.6.3 UAE ModelOps Market
      • 10.4.6.3.1 UAE ModelOps Market by Offering
      • 10.4.6.3.2 UAE ModelOps Market by Model
      • 10.4.6.3.3 UAE ModelOps Market by Deployment
      • 10.4.6.3.4 UAE ModelOps Market by Vertical
      • 10.4.6.3.5 UAE ModelOps Market by Application
    • 10.4.6.4 Saudi Arabia ModelOps Market
      • 10.4.6.4.1 Saudi Arabia ModelOps Market by Offering
      • 10.4.6.4.2 Saudi Arabia ModelOps Market by Model
      • 10.4.6.4.3 Saudi Arabia ModelOps Market by Deployment
      • 10.4.6.4.4 Saudi Arabia ModelOps Market by Vertical
      • 10.4.6.4.5 Saudi Arabia ModelOps Market by Application
    • 10.4.6.5 South Africa ModelOps Market
      • 10.4.6.5.1 South Africa ModelOps Market by Offering
      • 10.4.6.5.2 South Africa ModelOps Market by Model
      • 10.4.6.5.3 South Africa ModelOps Market by Deployment
      • 10.4.6.5.4 South Africa ModelOps Market by Vertical
      • 10.4.6.5.5 South Africa ModelOps Market by Application
    • 10.4.6.6 Nigeria ModelOps Market
      • 10.4.6.6.1 Nigeria ModelOps Market by Offering
      • 10.4.6.6.2 Nigeria ModelOps Market by Model
      • 10.4.6.6.3 Nigeria ModelOps Market by Deployment
      • 10.4.6.6.4 Nigeria ModelOps Market by Vertical
      • 10.4.6.6.5 Nigeria ModelOps Market by Application
    • 10.4.6.7 Rest of LAMEA ModelOps Market
      • 10.4.6.7.1 Rest of LAMEA ModelOps Market by Offering
      • 10.4.6.7.2 Rest of LAMEA ModelOps Market by Model
      • 10.4.6.7.3 Rest of LAMEA ModelOps Market by Deployment
      • 10.4.6.7.4 Rest of LAMEA ModelOps Market by Vertical
      • 10.4.6.7.5 Rest of LAMEA ModelOps Market by Application

Chapter 11. Company Profiles

• 11.1 H2O.ai, Inc.
  • 11.1.1 Company Overview
• 11.2 Amazon Web Services, Inc. (Amazon.com, Inc.)
  • 11.2.1 Company Overview
  • 11.2.2 Financial Analysis
  • 11.2.3 Segmental Analysis
  • 11.2.4 Recent strategies and developments:
    • 11.2.4.1 Partnerships, Collaborations, and Agreements:
  • 11.2.5 SWOT Analysis
• 11.3 Google LLC (Alphabet Inc.)
  • 11.3.1 Company Overview
  • 11.3.2 Financial Analysis
  • 11.3.3 Segmental and Regional Analysis
  • 11.3.4 Research & Development Expense
  • 11.3.5 Recent strategies and developments:
    • 11.3.5.1 Product Launches and Product Expansions:
  • 11.3.6 SWOT Analysis
• 11.4 Hewlett Packard Enterprise Company
  • 11.4.1 Company Overview
  • 11.4.2 Financial Analysis
  • 11.4.3 Segmental and Regional Analysis
  • 11.4.4 Research & Development Expense
  • 11.4.5 SWOT Analysis
• 11.5 IBM Corporation
  • 11.5.1 Company Overview
  • 11.5.2 Financial Analysis
  • 11.5.3 Regional & Segmental Analysis
  • 11.5.4 Research & Development Expenses
  • 11.5.5 Recent strategies and developments:
    • 11.5.5.1 Partnerships, Collaborations, and Agreements:
    • 11.5.5.2 Product Launches and Product Expansions:
  • 11.5.6 SWOT Analysis
• 11.6 Cloudera, Inc.
  • 11.6.1 Company Overview
  • 11.6.2 SWOT Analysis
• 11.7 Microsoft Corporation
  • 11.7.1 Company Overview
  • 11.7.2 Financial Analysis
  • 11.7.3 Segmental and Regional Analysis
  • 11.7.4 Research & Development Expenses
  • 11.7.5 Recent strategies and developments:
    • 11.7.5.1 Partnerships, Collaborations, and Agreements:
  • 11.7.6 SWOT Analysis
• 11.8 SAS Institute, Inc.
  • 11.8.1 Company Overview
  • 11.8.2 SWOT Analysis
• 11.9 DataRobot, Inc.
  • 11.9.1 Company Overview
  • 11.9.2 Recent strategies and developments:
    • 11.9.2.1 Partnerships, Collaborations, and Agreements:
  • 11.9.3 SWOT Analysis
• 11.10. Domino Data Lab, Inc.
  • 11.10.1 Company Overview

Chapter 12. Winning Imperatives of ModelOps Market