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全球 ModelOps 市场：市场规模、份额、成长分析 - 按产品、按模型类型、按应用、按行业、按地区 - 预测到 2029 年
市场调查报告书
商品编码
1515615

全球 ModelOps 市场：市场规模、份额、成长分析 - 按产品、按模型类型、按应用、按行业、按地区 - 预测到 2029 年

ModelOps Market Size, Share, Growth Analysis, By Offering (Platforms & Services), Application (CI/CD, Monitoring & Alerting), Model Type (ML Model, Graph Model, Agent-based Model), Vertical and Region - Global Industry Forecast to 2029
出版日期: | 出版商: MarketsandMarkets | 英文 310 Pages | 订单完成后即时交付

价格

预计到 2024 年，全球 ModelOps 市场规模将达到 54 亿美元，到 2029 年预计将达到 295 亿美元，预测期内复合年增长率为 40.2%。

ModelOps 市场专注于优化生产环境中机器学习模型的部署、监控和管理。这个市场包括自动化模型部署、持续监控效能和资料漂移、确保管治和合规性、协调自动化测试和再培训、促进资料科学家和相关人员之间的协作等等。该市场是由跨行业对可扩展、可靠和敏捷解决方案的需求推动的，以提高业务效率并最大限度地提高人工智慧倡议的价值。随着 AI 和 ML 技术的进步，ModelOps 透过容器化、Kubernetes编配和 AI主导的自动化等创新不断发展，以重塑组织的运作方式并从模型中获取见解。

调查范围
调查年份 2019-2029
基准年 2023年
预测期 2024-2029
考虑单位 美元（十亿美元）
部分 按产品、按型号、按应用、按行业、按地区
目标区域 北美、欧洲、亚太地区、中东/非洲、拉丁美洲

在快速发展的 ModelOps 市场中，提供​​全面解决方案的平台因其管理机器学习模型整个生命週期的整合方法而获得最大的市场占有率。这些平台透过将开发、培训、配置和监控流程集中到统一的环境中来简化运营，吸引了寻求更高效率和协作的企业。由强大的基础设施和云端功能支援的扩充性满足了大规模部署模型不断增长的需求。整个生命週期的自动化功能可缩短上市时间并确保一致性。此外，内建的管治机制可确保合规性和可靠性，这对于受监管的行业非常重要。

ModelOps 市场中基于图的模型管理工具的快速增长归因于它们能够熟练地处理现代人工智慧系统的复杂性。这些工具管理传统资料库难以适应的模型、资料集和配置之间的复杂关係。其可扩展性和灵活性使其成为动态人工智慧环境的理想选择，其中快速演进和大规模资料处理是常态。透过与现有的 AI 平台无缝集成，获得对模型生命週期的更大可见性和控制，并确保遵守监管标准和内部管治。透过提供清晰且审核的模型和资料使用历史记录，支援实施过程中的稳健决策和自动化。随着人工智慧应用扩展到边缘运算和个人化医疗等新领域，基于图形的工具提供了整合解决方案来有效管理多样化和分散式环境。

该报告研究了全球 ModelOps 市场，包括按产品、模型类型、应用、行业、地区和市场参与者概况分類的趋势。

目录

第一章简介

第二章调查方法

第三章执行摘要

第 4 章重要考察

第五章市场概况及产业趋势

  • 介绍
  • 市场动态
  • 案例研究分析
  • ModelOps 市场的演变
  • 生态系分析
  • 技术分析
  • 供应链分析
  • 监管状况
  • 专利分析
  • 2024-2025年重大会议和活动
  • 波特五力分析
  • 价格分析
  • 影响客户业务的趋势/干扰
  • 主要相关人员和采购标准
  • 投资金筹措场景
  • ModelOps 与 MLOPS
  • 模型营运最佳实践

第 6 章 ModelOps 市场（按产品）

  • 介绍
  • 平台
  • 服务

第 7 章 ModelOps 市场（依模型类型）

  • 介绍
  • 机器学习模型
  • 基于图的模型
  • 规则和启发式模型
  • 语言模型
  • 基于代理的模型
  • 自带模式
  • 其他的

第 8 章 ModelOps 市场（按应用）

  • 介绍
  • 持续整合/持续配置
  • 监控和警报
  • 仪表板和报告
  • 模型生命週期管理
  • 管治、风险和合规
  • 平行化与分散式计算
  • 大量评分
  • 其他的

第 9 章 ModelOps 市场（按行业）

  • 介绍
  • BFSI
  • 通讯
  • 零售/电子商务
  • 医疗保健/生命科学
  • 政府/国防
  • IT/ITES
  • 能源/公共事业
  • 製造业
  • 运输/物流
  • 其他的

第 10 章 ModelOps 市场（按地区）

  • 介绍
  • 北美洲
  • 欧洲
  • 亚太地区
  • 中东/非洲
  • 拉丁美洲

第十一章竞争格局

  • 概述
  • 主要参与企业所采取的策略
  • 收益分析
  • 市场占有率分析
  • 产品比较分析
  • 企业评估矩阵：主要参与企业，2023
  • 企业评估矩阵：Start-Ups/小型企业，2023 年
  • 竞争格局及趋势
  • 主要供应商企业评估及财务指标

第十二章 公司简介

  • 介绍
  • 主要参与企业
    • IBM
    • GOOGLE
    • SAS INSTITUTE
    • AWS
    • ORACLE
    • TERADATA
    • VERITONE
    • ALTAIR
    • C3.AI
    • PALANTIR
    • TIBCO SOFTWARE
    • DOMINO DATA LAB
    • DATABRICKS
    • GIGGSO
    • MODELOP
  • 其他公司
    • VERTA
    • COMET ML
    • SUPERWISE
    • EVIDENTLY AI
    • MINITAB
    • SELDON
    • INNOMINDS
    • DATATRON
    • ARTHUR AI
    • WEIGHTS & BIASES
    • XENONSTACK
    • CNVRG.IO
    • DATAKITCHEN
    • HAISTEN AI
    • SPARKLING LOGIC
    • LEEWAYHERTZ

第十三章 邻近及相关市场

第十四章附录

Product Code: TC 9051

The global ModelOps Market is valued at USD 5.4 billion in 2024 and is estimated to reach USD 29.5 billion in 2029, registering a CAGR of 40.2% during the forecast period. The ModelOps Market focuses on optimizing the deployment, monitoring, and management of machine learning models in production. It encompasses automating model deployment, continuous monitoring for performance and data drift, ensuring governance and compliance, orchestrating automation for testing and retraining, and fostering collaboration among data scientists and stakeholders. This market is driven by the demand for scalable, reliable, and agile solutions across industries, enhancing operational efficiency and maximizing the value derived from AI initiatives. As AI and ML technologies advance, ModelOps continues to evolve with innovations in containerization, Kubernetes orchestration, and AI-driven automation, reshaping how organizations operationalize and derive insights from their models.

Scope of the Report
Years Considered for the Study2019-2029
Base Year2023
Forecast Period2024-2029
Units ConsideredUSD (Billion)
SegmentsOffering, Model Type, Application, Vertical, and Region
Regions coveredNorth America, Europe, Asia Pacific, Middle East & Africa, and Latin America

"By offering, the platforms segment is projected to hold the largest market size during the forecast period."

In the rapidly evolving ModelOps market, platforms offering comprehensive solutions have seized the largest market share due to their integrated approach to managing the entire lifecycle of machine learning models. These platforms streamline operations by consolidating development, training, deployment, and monitoring processes into a unified environment, appealing to enterprises seeking efficiency and collaboration enhancements. Their scalability, supported by robust infrastructure and cloud capabilities, meets the increasing demand for deploying models at scale. Automation features throughout the lifecycle accelerate time-to-market and ensure consistency, while built-in governance mechanisms ensure compliance and reliability, crucial for regulated industries.

"By type, graph-based models are registered to grow at the highest CAGR during the forecast period."

The rapid growth of graph-based model management tools within the ModelOps market stems from their adeptness at handling the intricate nature of modern AI systems. These tools manage complex relationships between models, datasets, and configurations, which traditional databases struggle to accommodate. Their scalability and flexibility make them ideal for dynamic AI environments where rapid evolution and large-scale data handling are the norm. Integrating seamlessly with existing AI platforms enhances visibility and control over model lifecycles, ensuring compliance with regulatory standards and internal governance. They support robust decision-making and automation in deployment processes by providing a clear and auditable lineage of models and data usage. As AI applications expand into new fields like edge computing and personalized medicine, graph-based tools offer a unified solution to effectively manage diverse and distributed environments.

"By application, the continuous integration/continuous deployment segment is projected to hold the largest market size during the forecast period."

Continuous Integration and Continuous Delivery (CI/CD) holds a dominant position within the ModelOps market due to several key factors that highlight its critical role in deploying and managing machine learning models. First and foremost, CI/CD pipelines are foundational in enabling automation throughout the model development lifecycle. In the context of ModelOps, which focuses on operationalizing machine learning models at scale, CI/CD pipelines facilitate the seamless integration of new model versions into production environments. This automation streamlines the process of testing, building, packaging, and deploying models, reducing the manual effort and potential for human error, thereby increasing efficiency and reliability. Further, the demand for CI/CD in ModelOps is driven by the need for agility and speed in deploying models into production. Machine learning models often undergo iterative improvements based on real-world data feedback and evolving business requirements. CI/CD pipelines allow teams to continuously integrate these updates into the operational environment, ensuring that the latest versions of models are always available without disrupting existing processes

Breakdown of primaries

In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the ModelOps market.

  • By Company: Tier I: 35%, Tier II: 45%, and Tier III: 20%
  • By Designation: C-Level Executives: 35%, Directors: 25%, and Others: 40%
  • By Region: North America - 30%, Europe - 30%, Asia Pacific - 25%, Middle East & Africa - 10%, and Latin America - 5%

Major vendors offering modelOps solution and services across the globe are IBM (US), Google (US), Oracle (US), SAS Institute (US), AWS (US), Teradata (US), Palantir (US), Veritone (US), Altair (US), c3.ai (US), TIBCO (US), Databricks (US), Giggso (US), Verta (US), ModelOp (US), Comet ML (US), Superwise (Israel), Evidently Al (US), Minitab (US), Seldon (UK), Innominds (US), Datatron (US), Domino Data Lab (US), Arthur (US), Weights & Biases (US), Xenonstack (US), Cnvrg.io (Israel), DataKitchen (US), Haisten AI (US), Sparkling Logic (US), LeewayHertz (US).

Research Coverage

The market study covers modelOps across segments. It aims to estimate the market size and the growth potential across different segments, such as offering, model type, application, vertical, and region. It includes an in-depth competitive analysis of the key players in the market, their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.

Key Benefits of Buying the Report

The report would provide the market leaders/new entrants with information on the closest approximations of the revenue numbers for the overall market for modelOps and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the market's pulse and provides information on key market drivers, restraints, challenges, and opportunities.

The report provides insights on the following pointers:

  • Analysis of key drivers (Exponential rise of unstructured data, Rise in digitalization trend), restraints (Discrepancy among data sources impedes the advancement of modelOps, Data Security and Privacy Concerns), opportunities (Empowering modelOps through SDN-enabled network integration, Growing integration of advanced analytical functionalities), and challenges (Rise in need for training and upskilling to address the knowledge gap, Issues related to complexity and diversity of data collected)
  • Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new solutions & service launches in the ModelOps Market.
  • Market Development: Comprehensive information about lucrative markets - the report analyses the ModelOps Market across varied regions.
  • Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in ModelOps Market strategies; the report also helps stakeholders understand the pulse of the ModelOps Market and provides them with information on key market drivers, restraints, challenges, and opportunities.
  • Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players such as IBM (US), Oracle (US), SAS Institute(US), Google (US), and AWS (US) among others, in the ModelOps Market.

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 STUDY OBJECTIVES
  • 1.2 MARKET DEFINITION
    • 1.2.1 INCLUSIONS AND EXCLUSIONS
  • 1.3 MARKET SCOPE
    • 1.3.1 MARKET SEGMENTATION
    • 1.3.2 REGIONS COVERED
    • 1.3.3 YEARS CONSIDERED
  • 1.4 CURRENCY CONSIDERED
  • 1.5 STAKEHOLDERS
  • 1.6 RECESSION IMPACT

2 RESEARCH METHODOLOGY

  • 2.1 RESEARCH DATA
    • 2.1.1 SECONDARY DATA
    • 2.1.2 PRIMARY DATA
      • 2.1.2.1 Breakup of primary interviews
      • 2.1.2.2 Key industry insights
  • 2.2 DATA TRIANGULATION
  • 2.3 MARKET SIZE ESTIMATION
    • 2.3.1 TOP-DOWN APPROACH
    • 2.3.2 BOTTOM-UP APPROACH
  • 2.4 MARKET FORECAST
  • 2.5 RESEARCH ASSUMPTIONS
  • 2.6 RESEARCH LIMITATIONS
  • 2.7 IMPLICATION OF RECESSION ON GLOBAL MODELOPS MARKET

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

  • 4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN MODELOPS MARKET
  • 4.2 OVERVIEW OF RECESSION IN MODELOPS MARKET
  • 4.3 MODELOPS MARKET, BY KEY APPLICATIONS, 2024-2029
  • 4.4 MODELOPS MARKET, BY KEY MODEL TYPES AND APPLICATIONS, 2024
  • 4.5 MODELOPS MARKET, BY REGION, 2024

5 MARKET OVERVIEW AND INDUSTRY TRENDS

  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    • 5.2.1 DRIVERS
      • 5.2.1.1 Integration of ModelOps with DevOps and DataOps
      • 5.2.1.2 Rising demand for Explainable AI (XAI)
      • 5.2.1.3 Increasing need to address model drift with ModelOps solutions
      • 5.2.1.4 Rising demand for automated monitoring and alerting capabilities
    • 5.2.2 RESTRAINTS
      • 5.2.2.1 Shortage of skilled professionals
      • 5.2.2.2 Model interpretability and explainability
    • 5.2.3 OPPORTUNITIES
      • 5.2.3.1 Integration of automated Continuous Integration/Continuous Deployment (CI/CD) pipelines
      • 5.2.3.2 Enhancements in model versioning and lifecycle management
    • 5.2.4 CHALLENGES
      • 5.2.4.1 Difficulty in managing intricate dependencies
      • 5.2.4.2 Complexities of integrating with existing systems
      • 5.2.4.3 Disconnect between insights and action
  • 5.3 CASE STUDY ANALYSIS
    • 5.3.1 CASE STUDY 1: SCRIBD ACCELERATES MODEL DELIVERY USING VERTA'S MACHINE LEARNING OPERATIONS PLATFORM
    • 5.3.2 CASE STUDY 2: EXSCIENTIA SHORTENS MODEL MONITORING AND PREPARATION FROM DAYS TO HOURS
    • 5.3.3 CASE STUDY 3: RBC CAPITAL MARKETS ENHANCES BOND TRADING EFFICIENCY USING AI AND MODELOPS CENTER
    • 5.3.4 CASE STUDY 4: M-KOPA REVOLUTIONIZES MODEL MANAGEMENT PROCESS WITH ASSISTANCE OF W&B
    • 5.3.5 CASE STUDY 5: CLEARSCAPE ANALYTICS EXPEDITES DEVELOPMENT OF CREDIT RISK PORTFOLIO MODELS FOR SICREDI
    • 5.3.6 CASE STUDY 6: ENHANCING ML EXPERIMENT MANAGEMENT AT UBER WITH COMET
    • 5.3.7 CASE STUDY 7: ACCELERATED AI INTEGRATION FOR ENHANCED EVENT RECOMMENDATIONS BY CNVRG.IO
  • 5.4 EVOLUTION OF MODELOPS MARKET
  • 5.5 ECOSYSTEM ANALYSIS
    • 5.5.1 PLATFORM PROVIDERS
    • 5.5.2 SERVICE PROVIDERS
    • 5.5.3 END USERS
    • 5.5.4 REGULATORY BODIES
  • 5.6 TECHNOLOGY ANALYSIS
    • 5.6.1 KEY TECHNOLOGIES
      • 5.6.1.1 Artificial intelligence
      • 5.6.1.2 Cloud computing
      • 5.6.1.3 Knowledge graphs
      • 5.6.1.4 No code
    • 5.6.2 ADJACENT TECHNOLOGIES
      • 5.6.2.1 Big data & analytics
      • 5.6.2.2 Edge computing
  • 5.7 SUPPLY CHAIN ANALYSIS
  • 5.8 REGULATORY LANDSCAPE
    • 5.8.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • 5.8.2 REGULATIONS: MODELOPS
      • 5.8.2.1 North America
        • 5.8.2.1.1 US
        • 5.8.2.1.2 Canada
      • 5.8.2.2 Europe
      • 5.8.2.3 Asia Pacific
        • 5.8.2.3.1 Singapore
        • 5.8.2.3.2 China
        • 5.8.2.3.3 India
        • 5.8.2.3.4 Japan
      • 5.8.2.4 Middle East & Africa
        • 5.8.2.4.1 UAE
        • 5.8.2.4.2 KSA
        • 5.8.2.4.3 South Africa
      • 5.8.2.5 Latin America
        • 5.8.2.5.1 Brazil
        • 5.8.2.5.2 Mexico
  • 5.9 PATENT ANALYSIS
    • 5.9.1 METHODOLOGY
    • 5.9.2 PATENTS FILED, BY DOCUMENT TYPE
    • 5.9.3 INNOVATIONS AND PATENT APPLICATIONS
      • 5.9.3.1 Patent applicants
  • 5.10 KEY CONFERENCES AND EVENTS, 2024-2025
  • 5.11 PORTER'S FIVE FORCES ANALYSIS
    • 5.11.1 THREAT FROM NEW ENTRANTS
    • 5.11.2 THREAT OF SUBSTITUTES
    • 5.11.3 BARGAINING POWER OF SUPPLIERS
    • 5.11.4 BARGAINING POWER OF BUYERS
    • 5.11.5 INTENSITY OF COMPETITIVE RIVALRY
  • 5.12 PRICING ANALYSIS
    • 5.12.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY APPLICATION
    • 5.12.2 INDICATIVE PRICING ANALYSIS, BY OFFERING
  • 5.13 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • 5.14 KEY STAKEHOLDERS AND BUYING CRITERIA
    • 5.14.1 KEY STAKEHOLDERS IN BUYING PROCESS
    • 5.14.2 BUYING CRITERIA
  • 5.15 INVESTMENT AND FUNDING SCENARIO
  • 5.16 MODELOPS VS. MLOPS
  • 5.17 MODELOPS BEST PRACTICES

6 MODELOPS MARKET, BY OFFERING

  • 6.1 INTRODUCTION
    • 6.1.1 OFFERING: MODELOPS MARKET DRIVERS
  • 6.2 PLATFORMS
    • 6.2.1 OPTIMIZING MACHINE LEARNING MODEL LIFECYCLE MANAGEMENT WITH MODELOPS PLATFORMS
    • 6.2.2 TYPE
      • 6.2.2.1 Development & experimentation platforms
      • 6.2.2.2 Monitoring & observability tools
      • 6.2.2.3 Automated machine learning (AutoML) platforms
      • 6.2.2.4 Performance tracking & management platforms
      • 6.2.2.5 Model explainability & interpretability tools
      • 6.2.2.6 Serving & deployment tools
      • 6.2.2.7 Others
    • 6.2.3 DEPLOYMENT MODE
      • 6.2.3.1 Cloud
      • 6.2.3.2 On-premises
  • 6.3 SERVICES
    • 6.3.1 ELEVATING DATA INSIGHTS WITH MODELOPS SERVICES
    • 6.3.2 CONSULTING
    • 6.3.3 DEPLOYMENT & INTEGRATION
    • 6.3.4 SUPPORT & MAINTENANCE

7 MODELOPS MARKET, BY MODEL TYPE

  • 7.1 INTRODUCTION
    • 7.1.1 MODEL TYPE: MODELOPS MARKET DRIVERS
  • 7.2 ML MODELS
    • 7.2.1 SEGMENTING, FORECASTING, AND OPTIMIZING MODELOPS FOR COMPETITIVE ADVANTAGE
  • 7.3 GRAPH-BASED MODELS
    • 7.3.1 GRAPH-BASED MODELS ENHANCE PREDICTIONS AND DECISION-MAKING IN MODELOPS
  • 7.4 RULE & HEURISTIC MODELS
    • 7.4.1 OPTIMIZING MODELOPS WITH RULE-BASED, HEURISTIC, AND HYBRID MODELS
  • 7.5 LINGUISTIC MODELS
    • 7.5.1 OPTIMIZING LINGUISTIC MODELS FOR EFFICIENT NLP DEPLOYMENT AND GOVERNANCE
  • 7.6 AGENT-BASED MODELS
    • 7.6.1 ENHANCING STRATEGIC DECISION-MAKING THROUGH ADVANCED AGENT-BASED MODEL SIMULATION
  • 7.7 BRING YOUR OWN MODELS
    • 7.7.1 MAXIMIZING OPERATIONAL EFFICIENCY THROUGH SEAMLESS INTEGRATION OF DIVERSE AI MODELS
  • 7.8 OTHER MODEL TYPES

8 MODELOPS MARKET, BY APPLICATION

  • 8.1 INTRODUCTION
    • 8.1.1 APPLICATION: MODELOPS MARKET DRIVERS
  • 8.2 CONTINUOUS INTEGRATION/CONTINUOUS DEPLOYMENT
    • 8.2.1 IMPLEMENTATION OF CI/CD FOR ACCELERATED DEPLOYMENT OF MACHINE LEARNING MODELS IN MODELOPS
  • 8.3 MONITORING & ALERTING
    • 8.3.1 ENHANCING MODELOPS WITH RELIABLE MONITORING & ALERTING SERVICES
  • 8.4 DASHBOARD & REPORTING
    • 8.4.1 DASHBOARD AND REPORTING ENHANCE OPERATIONAL PROCESSES SURROUNDING MACHINE LEARNING MODELS
  • 8.5 MODEL LIFECYCLE MANAGEMENT
    • 8.5.1 MAXIMIZING AI VALUE THROUGH EFFECTIVE MODEL LIFECYCLE MANAGEMENT
  • 8.6 GOVERNANCE, RISK, & COMPLIANCE
    • 8.6.1 IMPLEMENTATION OF ROBUST GOVERNANCE, RISK, AND COMPLIANCE (GRC) FRAMEWORK IN MODELOPS FOR EFFECTIVE AI MODEL MANAGEMENT
  • 8.7 PARALLELIZATION & DISTRIBUTED COMPUTING
    • 8.7.1 EMPOWERING AI/ML SCALABILITY WITH PARALLELIZATION AND DISTRIBUTED COMPUTING IN MODELOPS
  • 8.8 BATCH SCORING
    • 8.8.1 ENHANCING DATA-DRIVEN DECISION-MAKING WITH BATCH SCORING IN MODELOPS
  • 8.9 OTHER APPLICATIONS

9 MODELOPS MARKET, BY VERTICAL

  • 9.1 INTRODUCTION
    • 9.1.1 VERTICAL: MODELOPS MARKET DRIVERS
  • 9.2 BFSI
    • 9.2.1 OPTIMIZING MODELOPS FOR BFSI SECTOR ADVANCEMENTS
  • 9.3 TELECOMMUNICATIONS
    • 9.3.1 IMPLEMENTING MODELOPS FOR ENHANCED TELECOMMUNICATION EFFICIENCY
  • 9.4 RETAIL & ECOMMERCE
    • 9.4.1 STREAMLINING AI AND ML DEPLOYMENT TO REVOLUTIONIZE RETAIL AND ECOMMERCE OPERATIONS FOR ENHANCED EFFICIENCY AND CUSTOMER EXPERIENCE
  • 9.5 HEALTHCARE & LIFE SCIENCES
    • 9.5.1 ENHANCING PATIENT OUTCOMES AND MEDICAL INNOVATION THROUGH MODELOPS IN HEALTHCARE AND LIFE SCIENCES
  • 9.6 GOVERNMENT & DEFENSE
    • 9.6.1 GOVERNMENTS USE MODELOPS TO APPLY REAL-TIME ANALYTICS IN MISSION-CRITICAL SCENARIOS
  • 9.7 IT/ITES
    • 9.7.1 IMPLEMENTING MODELOPS FOR EFFICIENT AI/ML LIFECYCLE MANAGEMENT IN IT/ITES
  • 9.8 ENERGY & UTILITIES
    • 9.8.1 IMPLEMENTING MODELOPS FOR ENERGY AND UTILITIES OPTIMIZATION
  • 9.9 MANUFACTURING
    • 9.9.1 DEPLOYING MODELOPS FOR ENHANCED MANUFACTURING EFFICIENCY
  • 9.10 TRANSPORTATION & LOGISTICS
    • 9.10.1 ENHANCING EFFICIENCY AND SAFETY THROUGH MODELOPS IN TRANSPORTATION AND LOGISTICS
  • 9.11 OTHER VERTICALS

10 MODELOPS MARKET, BY REGION

  • 10.1 INTRODUCTION
  • 10.2 NORTH AMERICA
    • 10.2.1 NORTH AMERICA: MODELOPS MARKET DRIVERS
    • 10.2.2 NORTH AMERICA: RECESSION IMPACT
    • 10.2.3 US
      • 10.2.3.1 Widespread adoption of AI and ML technologies across industries to drive market
    • 10.2.4 CANADA
      • 10.2.4.1 Rising demand for AI and ML solutions in various sectors to drive market
  • 10.3 EUROPE
    • 10.3.1 EUROPE: MODELOPS MARKET DRIVERS
    • 10.3.2 EUROPE: RECESSION IMPACT
    • 10.3.3 UK
      • 10.3.3.1 Increasing AI adoption across industries to drive market
    • 10.3.4 GERMANY
      • 10.3.4.1 Increasing adoption of AI and ML technologies to drive market
    • 10.3.5 FRANCE
      • 10.3.5.1 Rising focus on operationalizing AI and ML models to drive market
    • 10.3.6 ITALY
      • 10.3.6.1 Growing integration of AI and ML across diverse sectors to drive market
    • 10.3.7 SPAIN
      • 10.3.7.1 Increasing reliance on data-driven decision-making across industries to drive market
    • 10.3.8 REST OF EUROPE
  • 10.4 ASIA PACIFIC
    • 10.4.1 ASIA PACIFIC: MODELOPS MARKET DRIVERS
    • 10.4.2 ASIA PACIFIC: RECESSION IMPACT
    • 10.4.3 CHINA
      • 10.4.3.1 Rising focus on operationalizing AI models and enhancing business outcomes to drive market
    • 10.4.4 JAPAN
      • 10.4.4.1 Increasing adoption of AI and ML models in various industries to drive market
    • 10.4.5 INDIA
      • 10.4.5.1 Rising adoption of AI technologies across sectors to drive market
    • 10.4.6 SOUTH KOREA
      • 10.4.6.1 Increasing adoption of AI across sectors to drive market
    • 10.4.7 AUSTRALIA & NEW ZEALAND
      • 10.4.7.1 Growing emphasis on integrating AI solutions to enhance operational efficiency to drive market
    • 10.4.8 REST OF ASIA PACIFIC
  • 10.5 MIDDLE EAST & AFRICA
    • 10.5.1 MIDDLE EAST & AFRICA: MODELOPS MARKET DRIVERS
    • 10.5.2 MIDDLE EAST & AFRICA: RECESSION IMPACT
    • 10.5.3 UAE
      • 10.5.3.1 Government initiatives toward building knowledge-based economy to drive market
    • 10.5.4 KSA
      • 10.5.4.1 Growing emphasis on digital transformation and AI integration across sectors to drive market
    • 10.5.5 QATAR
      • 10.5.5.1 Rising adoption of AI and ML technologies across sectors to drive market
    • 10.5.6 EGYPT
      • 10.5.6.1 Increasing investments by companies to operationalize AI and ML models to drive market
    • 10.5.7 SOUTH AFRICA
      • 10.5.7.1 Growing adoption of AI and machine learning models in various sectors to drive market
    • 10.5.8 REST OF MIDDLE EAST & AFRICA
  • 10.6 LATIN AMERICA
    • 10.6.1 LATIN AMERICA: MODELOPS MARKET DRIVERS
    • 10.6.2 LATIN AMERICA: RECESSION IMPACT
    • 10.6.3 BRAZIL
      • 10.6.3.1 Technological advancements and regulatory compliance to drive market
    • 10.6.4 MEXICO
      • 10.6.4.1 Increasing digital transformation efforts across industries to drive market
    • 10.6.5 ARGENTINA
      • 10.6.5.1 Increasing adoption of machine learning and AI technologies in various sectors to drive market
    • 10.6.6 REST OF LATIN AMERICA

11 COMPETITIVE LANDSCAPE

  • 11.1 OVERVIEW
  • 11.2 STRATEGIES ADOPTED BY KEY PLAYERS
  • 11.3 REVENUE ANALYSIS
  • 11.4 MARKET SHARE ANALYSIS
    • 11.4.1 MARKET RANKING ANALYSIS
  • 11.5 PRODUCT COMPARATIVE ANALYSIS
  • 11.6 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
    • 11.6.1 STARS
    • 11.6.2 EMERGING LEADERS
    • 11.6.3 PERVASIVE PLAYERS
    • 11.6.4 PARTICIPANTS
    • 11.6.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
      • 11.6.5.1 Company footprint
      • 11.6.5.2 Offering footprint
      • 11.6.5.3 Application footprint
      • 11.6.5.4 Regional footprint
      • 11.6.5.5 Vertical footprint
  • 11.7 COMPANY EVALUATION MATRIX: START-UPS/SMES, 2023
    • 11.7.1 PROGRESSIVE COMPANIES
    • 11.7.2 RESPONSIVE COMPANIES
    • 11.7.3 DYNAMIC COMPANIES
    • 11.7.4 STARTING BLOCKS
    • 11.7.5 COMPETITIVE BENCHMARKING: START-UPS/SMES, 2023
  • 11.8 COMPETITIVE SCENARIOS AND TRENDS
    • 11.8.1 PRODUCT LAUNCHES & ENHANCEMENTS
    • 11.8.2 DEALS
  • 11.9 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS

12 COMPANY PROFILES

  • 12.1 INTRODUCTION
  • 12.2 KEY PLAYERS 228\ (Business Overview, Products/Solutions/Services offered, Recent Developments, MnM View)**
    • 12.2.1 IBM
    • 12.2.2 GOOGLE
    • 12.2.3 SAS INSTITUTE
    • 12.2.4 AWS
    • 12.2.5 ORACLE
    • 12.2.6 TERADATA
    • 12.2.7 VERITONE
    • 12.2.8 ALTAIR
    • 12.2.9 C3.AI
    • 12.2.10 PALANTIR
    • 12.2.11 TIBCO SOFTWARE
    • 12.2.12 DOMINO DATA LAB
    • 12.2.13 DATABRICKS
    • 12.2.14 GIGGSO
    • 12.2.15 MODELOP
  • 12.3 OTHER PLAYERS
    • 12.3.1 VERTA
    • 12.3.2 COMET ML
    • 12.3.3 SUPERWISE
    • 12.3.4 EVIDENTLY AI
    • 12.3.5 MINITAB
    • 12.3.6 SELDON
    • 12.3.7 INNOMINDS
    • 12.3.8 DATATRON
    • 12.3.9 ARTHUR AI
    • 12.3.10 WEIGHTS & BIASES
    • 12.3.11 XENONSTACK
    • 12.3.12 CNVRG.IO
    • 12.3.13 DATAKITCHEN
    • 12.3.14 HAISTEN AI
    • 12.3.15 SPARKLING LOGIC
    • 12.3.16 LEEWAYHERTZ

*Details on Business Overview, Products/Solutions/Services offered, Recent Developments, MnM View might not be captured in case of unlisted companies.

13 ADJACENT AND RELATED MARKETS

  • 13.1 INTRODUCTION
  • 13.2 MLOPS
    • 13.2.1 MARKET DEFINITION
    • 13.2.2 MARKET OVERVIEW
      • 13.2.2.1 MLOps market, by component
      • 13.2.2.2 MLOps market, by deployment mode
      • 13.2.2.3 MLOps market, by organization size
      • 13.2.2.4 MLOps market, by vertical
      • 13.2.2.5 MLOps market, by region
  • 13.3 ARTIFICIAL INTELLIGENCE (AI) MARKET
    • 13.3.1 MARKET DEFINITION
    • 13.3.2 MARKET OVERVIEW
      • 13.3.2.1 Artificial intelligence (AI) market, by offering
      • 13.3.2.2 Artificial intelligence (AI) market, by hardware
      • 13.3.2.3 Artificial intelligence (AI) market, by software
      • 13.3.2.4 Artificial intelligence (AI) market, by services
      • 13.3.2.5 Artificial intelligence (AI) market, by technology
      • 13.3.2.6 Artificial intelligence (AI) market, by business function
      • 13.3.2.7 Artificial intelligence (AI) market, by vertical
      • 13.3.2.8 Artificial intelligence (AI) market, by region

14 APPENDIX

  • 14.1 DISCUSSION GUIDE
  • 14.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 14.3 CUSTOMIZATION OPTIONS
  • 14.4 RELATED REPORTS
  • 14.5 AUTHOR DETAILS

List of Tables

  • TABLE 1 USD EXCHANGE RATE, 2020-2023
  • TABLE 2 PRIMARY INTERVIEWS
  • TABLE 3 FACTOR ANALYSIS
  • TABLE 4 MODELOPS MARKET AND GROWTH RATE, 2019-2023 (USD MILLION, Y-O-Y%)
  • TABLE 5 MODELOPS MARKET AND GROWTH RATE, 2024-2029 (USD MILLION, Y-O-Y%)
  • TABLE 6 MODELOPS MARKET: ECOSYSTEM
  • TABLE 7 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 8 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 9 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 10 MIDDLE EAST & AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 11 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 12 PATENTS FILED, BY DOCUMENT TYPE, 2020-2024
  • TABLE 13 PATENT OWNERS IN MODELOPS MARKET, 2020-2024
  • TABLE 14 MODELOPS MARKET: LIST OF PATENTS GRANTED, 2023-2024
  • TABLE 15 MODELOPS MARKET: DETAILED LIST OF CONFERENCES AND EVENTS, 2024-2025
  • TABLE 16 MODELOPS MARKET: IMPACT OF PORTER'S FIVE FORCES
  • TABLE 17 AVERAGE SELLING PRICE OF KEY PLAYERS, BY APPLICATIONS
  • TABLE 18 INDICATIVE PRICING OF MODELOPS BY OFFERINGS
  • TABLE 19 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 VERTICALS
  • TABLE 20 KEY BUYING CRITERIA FOR TOP 3 VERTICALS
  • TABLE 21 MODELOPS MARKET, BY OFFERING, 2019-2023 (USD MILLION)
  • TABLE 22 MODELOPS MARKET, BY OFFERING, 2024-2029 (USD MILLION)
  • TABLE 23 MODELOPS MARKET FOR PLATFORMS, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 24 MODELOPS MARKET FOR PLATFORMS, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 25 MODELOPS MARKET FOR PLATFORMS, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 26 MODELOPS MARKET FOR PLATFORMS, BY TYPE, 2024-2029 (USD MILLION)
  • TABLE 27 DEVELOPMENT & EXPERIMENTATION PLATFORMS, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 28 DEVELOPMENT & EXPERIMENTATION PLATFORMS, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 29 MONITORING & OBSERVABILITY TOOLS, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 30 MONITORING & OBSERVABILITY TOOLS, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 31 AUTOMATED MACHINE LEARNING (AUTOML) PLATFORMS, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 32 AUTOMATED MACHINE LEARNING (AUTOML) PLATFORMS, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 33 PERFORMANCE TRACKING & MANAGEMENT PLATFORMS, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 34 PERFORMANCE TRACKING & MANAGEMENT PLATFORMS, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 35 MODEL EXPLAINABILITY & INTERPRETABILITY TOOLS, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 36 MODEL EXPLAINABILITY & INTERPRETABILITY TOOLS, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 37 SERVING & DEPLOYMENT TOOLS, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 38 SERVING & DEPLOYMENT TOOLS, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 39 MODELOPS MARKET FOR PLATFORMS, BY DEPLOYMENT MODE, 2019-2023 (USD MILLION)
  • TABLE 40 MODELOPS MARKET FOR PLATFORMS, BY DEPLOYMENT MODE, 2024-2029 (USD MILLION)
  • TABLE 41 CLOUD: MODELOPS MARKET FOR PLATFORMS, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 42 CLOUD: MODELOPS MARKET FOR PLATFORMS, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 43 ON-PREMISES: MODELOPS MARKET FOR PLATFORMS, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 44 ON-PREMISES: MODELOPS MARKET FOR PLATFORMS, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 45 MODELOPS MARKET FOR SERVICES, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 46 MODELOPS MARKET FOR SERVICES, BY TYPE, 2024-2029 (USD MILLION)
  • TABLE 47 MODELOPS MARKET FOR SERVICES, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 48 MODELOPS MARKET FOR SERVICES, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 49 CONSULTING: MODELOPS MARKET FOR SERVICES, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 50 CONSULTING: MODELOPS MARKET FOR SERVICES, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 51 DEPLOYMENT & INTEGRATION: MODELOPS MARKET FOR SERVICES, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 52 DEPLOYMENT & INTEGRATION: MODELOPS MARKET FOR SERVICES, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 53 SUPPORT & MAINTENANCE: MODELOPS MARKET FOR SERVICES, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 54 SUPPORT & MAINTENANCE: MODELOPS MARKET FOR SERVICES, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 55 MODELOPS MARKET, BY MODEL TYPE, 2019-2023 (USD MILLION)
  • TABLE 56 MODELOPS MARKET, BY MODEL TYPE, 2024-2029 (USD MILLION)
  • TABLE 57 ML MODELS: MODELOPS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 58 ML MODELS: MODELOPS MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 59 GRAPH-BASED MODELS: MODELOPS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 60 GRAPH-BASED MODELS: MODELOPS MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 61 RULE & HEURISTIC MODELS: MODELOPS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 62 RULE & HEURISTIC MODELS: MODELOPS MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 63 LINGUISTIC MODELS: MODELOPS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 64 LINGUISTIC MODELS: MODELOPS MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 65 AGENT-BASED MODELS: MODELOPS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 66 AGENT-BASED MODELS: MODELOPS MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 67 BRING YOUR OWN MODELS: MODELOPS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 68 BRING YOUR OWN MODELS: MODELOPS MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 69 OTHER MODEL TYPES: MODELOPS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 70 OTHER MODEL TYPES: MODELOPS MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 71 MODELOPS MARKET, BY APPLICATION, 2019-2023 (USD MILLION)
  • TABLE 72 MODELOPS MARKET, BY APPLICATION, 2024-2029 (USD MILLION)
  • TABLE 73 CONTINUOUS INTEGRATION/CONTINUOUS DEPLOYMENT: MODELOPS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 74 CONTINUOUS INTEGRATION/CONTINUOUS DEPLOYMENT: MODELOPS MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 75 MONITORING & ALERTING: MODELOPS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 76 MONITORING & ALERTING: MODELOPS MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 77 DASHBOARD & REPORTING: MODELOPS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 78 DASHBOARD & REPORTING: MODELOPS MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 79 MODEL LIFECYCLE MANAGEMENT: MODELOPS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 80 MODEL LIFECYCLE MANAGEMENT: MODELOPS MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 81 GOVERNANCE, RISK, & COMPLIANCE: MODELOPS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 82 GOVERNANCE, RISK, & COMPLIANCE: MODELOPS MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 83 PARALLELIZATION & DISTRIBUTED COMPUTING: MODELOPS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 84 PARALLELIZATION & DISTRIBUTED COMPUTING: MODELOPS MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 85 BATCH SCORING: MODELOPS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 86 BATCH SCORING: MODELOPS MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 87 OTHER APPLICATIONS: MODELOPS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 88 OTHER APPLICATIONS: MODELOPS MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 89 MODELOPS MARKET, BY VERTICAL, 2019-2023 (USD MILLION)
  • TABLE 90 MODELOPS MARKET, BY VERTICAL, 2024-2029 (USD MILLION)
  • TABLE 91 BANKING, FINANCIAL SERVICES, AND INSURANCE: USE CASES
  • TABLE 92 BFSI: MODELOPS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 93 BFSI: MODELOPS MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 94 TELECOMMUNICATIONS: USE CASES
  • TABLE 95 TELECOMMUNICATIONS: MODELOPS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 96 TELECOMMUNICATIONS: MODELOPS MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 97 RETAIL & ECOMMERCE: USE CASES
  • TABLE 98 RETAIL & ECOMMERCE: MODELOPS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 99 RETAIL & ECOMMERCE: MODELOPS MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 100 HEALTHCARE & LIFE SCIENCES: USE CASES
  • TABLE 101 HEALTHCARE & LIFE SCIENCES: MODELOPS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 102 HEALTHCARE & LIFE SCIENCES: MODELOPS MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 103 GOVERNMENT & DEFENSE: USE CASES
  • TABLE 104 GOVERNMENT & DEFENSE: MODELOPS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 105 GOVERNMENT & DEFENSE: MODELOPS MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 106 IT/ITES: USE CASES
  • TABLE 107 IT/ITES: MODELOPS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 108 IT/ITES: MODELOPS MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 109 ENERGY & UTILITIES: USE CASES
  • TABLE 110 ENERGY & UTILITIES: MODELOPS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 111 ENERGY & UTILITIES: MODELOPS MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 112 MANUFACTURING: USE CASES
  • TABLE 113 MANUFACTURING: MODELOPS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 114 MANUFACTURING: MODELOPS MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 115 TRANSPORTATION & LOGISTICS: USE CASES
  • TABLE 116 TRANSPORTATION & LOGISTICS: MODELOPS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 117 TRANSPORTATION & LOGISTICS: MODELOPS MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 118 OTHER VERTICALS: USE CASES
  • TABLE 119 OTHER VERTICALS: MODELOPS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 120 OTHER VERTICALS: MODELOPS MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 121 MODELOPS MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 122 MODELOPS MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 123 NORTH AMERICA: MODELOPS MARKET, BY OFFERING, 2019-2023 (USD MILLION)
  • TABLE 124 NORTH AMERICA: MODELOPS MARKET, BY OFFERING, 2024-2029 (USD MILLION)
  • TABLE 125 NORTH AMERICA: MODELOPS MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 126 NORTH AMERICA: MODELOPS MARKET, BY TYPE, 2024-2029 (USD MILLION)
  • TABLE 127 NORTH AMERICA: MODELOPS MARKET, BY SERVICE, 2019-2023 (USD MILLION)
  • TABLE 128 NORTH AMERICA: MODELOPS MARKET, BY SERVICE, 2024-2029 (USD MILLION)
  • TABLE 129 NORTH AMERICA: MODELOPS MARKET, BY DEPLOYMENT MODE, 2019-2023 (USD MILLION)
  • TABLE 130 NORTH AMERICA: MODELOPS MARKET, BY DEPLOYMENT MODE, 2024-2029 (USD MILLION)
  • TABLE 131 NORTH AMERICA: MODELOPS MARKET, BY MODEL TYPE, 2019-2023 (USD MILLION)
  • TABLE 132 NORTH AMERICA: MODELOPS MARKET, BY MODEL TYPE, 2024-2029 (USD MILLION)
  • TABLE 133 NORTH AMERICA: MODELOPS MARKET, BY APPLICATION, 2019-2023 (USD MILLION)
  • TABLE 134 NORTH AMERICA: MODELOPS MARKET, BY APPLICATION, 2024-2029 (USD MILLION)
  • TABLE 135 NORTH AMERICA: MODELOPS MARKET, BY VERTICAL, 2019-2023 (USD MILLION)
  • TABLE 136 NORTH AMERICA: MODELOPS MARKET, BY VERTICAL, 2024-2029 (USD MILLION)
  • TABLE 137 NORTH AMERICA: MODELOPS MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
  • TABLE 138 NORTH AMERICA: MODELOPS MARKET, BY COUNTRY, 2024-2029 (USD MILLION)
  • TABLE 139 US: MODELOPS MARKET, BY OFFERING, 2019-2023 (USD MILLION)
  • TABLE 140 US: MODELOPS MARKET, BY OFFERING, 2024-2029 (USD MILLION)
  • TABLE 141 US: MODELOPS MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 142 US: MODELOPS MARKET, BY TYPE, 2024-2029 (USD MILLION)
  • TABLE 143 US: MODELOPS MARKET, BY SERVICE, 2019-2023 (USD MILLION)
  • TABLE 144 US: MODELOPS MARKET, BY SERVICE, 2024-2029 (USD MILLION)
  • TABLE 145 US: MODELOPS MARKET, BY DEPLOYMENT MODE, 2019-2023 (USD MILLION)
  • TABLE 146 US: MODELOPS MARKET, BY DEPLOYMENT MODE, 2024-2029 (USD MILLION)
  • TABLE 147 CANADA: MODELOPS MARKET, BY OFFERING, 2019-2023 (USD MILLION)
  • TABLE 148 CANADA: MODELOPS MARKET, BY OFFERING, 2024-2029 (USD MILLION)
  • TABLE 149 CANADA: MODELOPS MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 150 CANADA: MODELOPS MARKET, BY TYPE, 2024-2029 (USD MILLION)
  • TABLE 151 CANADA: MODELOPS MARKET, BY SERVICE, 2019-2023 (USD MILLION)
  • TABLE 152 CANADA: MODELOPS MARKET, BY SERVICE, 2024-2029 (USD MILLION)
  • TABLE 153 CANADA: MODELOPS MARKET, BY DEPLOYMENT MODE, 2019-2023 (USD MILLION)
  • TABLE 154 CANADA: MODELOPS MARKET, BY DEPLOYMENT MODE, 2024-2029 (USD MILLION)
  • TABLE 155 EUROPE: MODELOPS MARKET, BY OFFERING, 2019-2023 (USD MILLION)
  • TABLE 156 EUROPE: MODELOPS MARKET, BY OFFERING, 2024-2029 (USD MILLION)
  • TABLE 157 EUROPE: MODELOPS MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 158 EUROPE: MODELOPS MARKET, BY TYPE, 2024-2029 (USD MILLION)
  • TABLE 159 EUROPE: MODELOPS MARKET, BY SERVICE, 2019-2023 (USD MILLION)
  • TABLE 160 EUROPE: MODELOPS MARKET, BY SERVICE, 2024-2029 (USD MILLION)
  • TABLE 161 EUROPE: MODELOPS MARKET, BY DEPLOYMENT MODE, 2019-2023 (USD MILLION)
  • TABLE 162 EUROPE: MODELOPS MARKET, BY DEPLOYMENT MODE, 2024-2029 (USD MILLION)
  • TABLE 163 EUROPE: MODELOPS MARKET, BY MODEL TYPE, 2019-2023 (USD MILLION)
  • TABLE 164 EUROPE: MODELOPS MARKET, BY MODEL TYPE, 2024-2029 (USD MILLION)
  • TABLE 165 EUROPE: MODELOPS MARKET, BY APPLICATION, 2019-2023 (USD MILLION)
  • TABLE 166 EUROPE: MODELOPS MARKET, BY APPLICATION, 2024-2029 (USD MILLION)
  • TABLE 167 EUROPE: MODELOPS MARKET, BY VERTICAL, 2019-2023 (USD MILLION)
  • TABLE 168 EUROPE: MODELOPS MARKET, BY VERTICAL, 2024-2029 (USD MILLION)
  • TABLE 169 EUROPE: MODELOPS MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
  • TABLE 170 EUROPE: MODELOPS MARKET, BY COUNTRY, 2024-2029 (USD MILLION)
  • TABLE 171 UK: MODELOPS MARKET, BY OFFERING, 2019-2023 (USD MILLION)
  • TABLE 172 UK: MODELOPS MARKET, BY OFFERING, 2024-2029 (USD MILLION)
  • TABLE 173 UK: MODELOPS MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 174 UK: MODELOPS MARKET, BY TYPE, 2024-2029 (USD MILLION)
  • TABLE 175 UK: MODELOPS MARKET, BY SERVICE, 2019-2023 (USD MILLION)
  • TABLE 176 UK: MODELOPS MARKET, BY SERVICE, 2024-2029 (USD MILLION)
  • TABLE 177 UK: MODELOPS MARKET, BY DEPLOYMENT MODE, 2019-2023 (USD MILLION)
  • TABLE 178 UK: MODELOPS MARKET, BY DEPLOYMENT MODE, 2024-2029 (USD MILLION)
  • TABLE 179 ASIA PACIFIC: MODELOPS MARKET, BY OFFERING, 2019-2023 (USD MILLION)
  • TABLE 180 ASIA PACIFIC: MODELOPS MARKET, BY OFFERING, 2024-2029 (USD MILLION)
  • TABLE 181 ASIA PACIFIC: MODELOPS MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 182 ASIA PACIFIC: MODELOPS MARKET, BY TYPE, 2024-2029 (USD MILLION)
  • TABLE 183 ASIA PACIFIC: MODELOPS MARKET, BY SERVICE, 2019-2023 (USD MILLION)
  • TABLE 184 ASIA PACIFIC: MODELOPS MARKET, BY SERVICE, 2024-2029 (USD MILLION)
  • TABLE 185 ASIA PACIFIC: MODELOPS MARKET, BY DEPLOYMENT MODE, 2019-2023 (USD MILLION)
  • TABLE 186 ASIA PACIFIC: MODELOPS MARKET, BY DEPLOYMENT MODE, 2024-2029 (USD MILLION)
  • TABLE 187 ASIA PACIFIC: MODELOPS MARKET, BY MODEL TYPE, 2019-2023 (USD MILLION)
  • TABLE 188 ASIA PACIFIC: MODELOPS MARKET, BY MODEL TYPE, 2024-2029 (USD MILLION)
  • TABLE 189 ASIA PACIFIC: MODELOPS MARKET, BY APPLICATION, 2019-2023 (USD MILLION)
  • TABLE 190 ASIA PACIFIC: MODELOPS MARKET, BY APPLICATION, 2024-2029 (USD MILLION)
  • TABLE 191 ASIA PACIFIC: MODELOPS MARKET, BY VERTICAL, 2019-2023 (USD MILLION)
  • TABLE 192 ASIA PACIFIC: MODELOPS MARKET, BY VERTICAL, 2024-2029 (USD MILLION)
  • TABLE 193 ASIA PACIFIC: MODELOPS MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
  • TABLE 194 ASIA PACIFIC: MODELOPS MARKET, BY COUNTRY, 2024-2029 (USD MILLION)
  • TABLE 195 CHINA: MODELOPS MARKET, BY OFFERING, 2019-2023 (USD MILLION)
  • TABLE 196 CHINA: MODELOPS MARKET, BY OFFERING, 2024-2029 (USD MILLION)
  • TABLE 197 CHINA: MODELOPS MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 198 CHINA: MODELOPS MARKET, BY TYPE, 2024-2029 (USD MILLION)
  • TABLE 199 CHINA: MODELOPS MARKET, BY SERVICE, 2019-2023 (USD MILLION)
  • TABLE 200 CHINA: MODELOPS MARKET, BY SERVICE, 2024-2029 (USD MILLION)
  • TABLE 201 CHINA: MODELOPS MARKET, BY DEPLOYMENT MODE, 2019-2023 (USD MILLION)
  • TABLE 202 CHINA: MODELOPS MARKET, BY DEPLOYMENT MODE, 2024-2029 (USD MILLION)
  • TABLE 203 MIDDLE EAST & AFRICA: MODELOPS MARKET, BY OFFERING, 2019-2023 (USD MILLION)
  • TABLE 204 MIDDLE EAST & AFRICA: MODELOPS MARKET, BY OFFERING, 2024-2029 (USD MILLION)
  • TABLE 205 MIDDLE EAST & AFRICA: MODELOPS MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 206 MIDDLE EAST & AFRICA: MODELOPS MARKET, BY TYPE, 2024-2029 (USD MILLION)
  • TABLE 207 MIDDLE EAST & AFRICA: MODELOPS MARKET, BY SERVICE, 2019-2023 (USD MILLION)
  • TABLE 208 MIDDLE EAST & AFRICA: MODELOPS MARKET, BY SERVICE, 2024-2029 (USD MILLION)
  • TABLE 209 MIDDLE EAST & AFRICA: MODELOPS MARKET, BY DEPLOYMENT MODE, 2019-2023 (USD MILLION)
  • TABLE 210 MIDDLE EAST & AFRICA: MODELOPS MARKET, BY DEPLOYMENT MODE, 2024-2029 (USD MILLION)
  • TABLE 211 MIDDLE EAST & AFRICA: MODELOPS MARKET, BY MODEL TYPE, 2019-2023 (USD MILLION)
  • TABLE 212 MIDDLE EAST & AFRICA: MODELOPS MARKET, BY MODEL TYPE, 2024-2029 (USD MILLION)
  • TABLE 213 MIDDLE EAST & AFRICA: MODELOPS MARKET, BY APPLICATION, 2019-2023 (USD MILLION)
  • TABLE 214 MIDDLE EAST & AFRICA: MODELOPS MARKET, BY APPLICATION, 2024-2029 (USD MILLION)
  • TABLE 215 MIDDLE EAST & AFRICA: MODELOPS MARKET, BY VERTICAL, 2019-2023 (USD MILLION)
  • TABLE 216 MIDDLE EAST & AFRICA: MODELOPS MARKET, BY VERTICAL, 2024-2029 (USD MILLION)
  • TABLE 217 MIDDLE EAST & AFRICA: MODELOPS MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
  • TABLE 218 MIDDLE EAST & AFRICA: MODELOPS MARKET, BY COUNTRY, 2024-2029 (USD MILLION)
  • TABLE 219 LATIN AMERICA: MODELOPS MARKET, BY OFFERING, 2019-2023 (USD MILLION)
  • TABLE 220 LATIN AMERICA: MODELOPS MARKET, BY OFFERING, 2024-2029 (USD MILLION)
  • TABLE 221 LATIN AMERICA: MODELOPS MARKET, BY TYPE, 2019-2023 (USD MILLION)
  • TABLE 222 LATIN AMERICA: MODELOPS MARKET, BY TYPE, 2024-2029 (USD MILLION)
  • TABLE 223 LATIN AMERICA: MODELOPS MARKET, BY SERVICE, 2019-2023 (USD MILLION)
  • TABLE 224 LATIN AMERICA: MODELOPS MARKET, BY SERVICE, 2024-2029 (USD MILLION)
  • TABLE 225 LATIN AMERICA: MODELOPS MARKET, BY DEPLOYMENT MODE, 2019-2023 (USD MILLION)
  • TABLE 226 LATIN AMERICA: MODELOPS MARKET, BY DEPLOYMENT MODE, 2024-2029 (USD MILLION)
  • TABLE 227 LATIN AMERICA: MODELOPS MARKET, BY MODEL TYPE, 2019-2023 (USD MILLION)
  • TABLE 228 LATIN AMERICA: MODELOPS MARKET, BY MODEL TYPE, 2024-2029 (USD MILLION)
  • TABLE 229 LATIN AMERICA: MODELOPS MARKET, BY APPLICATION, 2019-2023 (USD MILLION)
  • TABLE 230 LATIN AMERICA: MODELOPS MARKET, BY APPLICATION, 2024-2029 (USD MILLION)
  • TABLE 231 LATIN AMERICA: MODELOPS MARKET, BY VERTICAL, 2019-2023 (USD MILLION)
  • TABLE 232 LATIN AMERICA: MODELOPS MARKET, BY VERTICAL, 2024-2029 (USD MILLION)
  • TABLE 233 LATIN AMERICA: MODELOPS MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
  • TABLE 234 LATIN AMERICA: MODELOPS MARKET, BY COUNTRY, 2024-2029 (USD MILLION)
  • TABLE 235 OVERVIEW OF STRATEGIES ADOPTED BY KEY MODELOPS VENDORS
  • TABLE 236 MODELOPS MARKET: DEGREE OF COMPETITION
  • TABLE 237 MODELOPS MARKET: OFFERING FOOTPRINT (12 COMPANIES)
  • TABLE 238 MODELOPS MARKET: APPLICATION FOOTPRINT (12 COMPANIES)
  • TABLE 239 MODELOPS MARKET: REGIONAL FOOTPRINT (12 COMPANIES)
  • TABLE 240 MODELOPS MARKET: VERTICAL FOOTPRINT (12 COMPANIES)
  • TABLE 241 MODELOPS MARKET: DETAILED LIST OF KEY START-UPS/SMES
  • TABLE 242 MODELOPS MARKET: COMPETITIVE BENCHMARKING OF KEY START-UPS/SMES
  • TABLE 243 MODELOPS MARKET: PRODUCT LAUNCHES & ENHANCEMENTS, JANUARY 2022-MAY 2024
  • TABLE 244 MODELOPS MARKET: DEALS, JANUARY 2022-MAY 2024
  • TABLE 245 IBM: COMPANY OVERVIEW
  • TABLE 246 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 247 IBM: PRODUCT LAUNCHES & ENHANCEMENTS
  • TABLE 248 IBM: DEALS
  • TABLE 249 GOOGLE: COMPANY OVERVIEW
  • TABLE 250 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 251 GOOGLE: PRODUCT LAUNCHES & ENHANCEMENTS
  • TABLE 252 GOOGLE: DEALS
  • TABLE 253 SAS INSTITUTE: COMPANY OVERVIEW
  • TABLE 254 SAS INSTITUTE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 255 SAS INSTITUTE: PRODUCT LAUNCHES & ENHANCEMENTS
  • TABLE 256 SAS INSTITUTE: DEALS
  • TABLE 257 AWS: COMPANY OVERVIEW
  • TABLE 258 AWS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 259 AWS: PRODUCT LAUNCHES & ENHANCEMENTS
  • TABLE 260 AWS: DEALS
  • TABLE 261 ORACLE: COMPANY OVERVIEW
  • TABLE 262 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 263 ORACLE: PRODUCT LAUNCHES & ENHANCEMENTS
  • TABLE 264 ORACLE: DEALS
  • TABLE 265 TERADATA: COMPANY OVERVIEW
  • TABLE 266 TERADATA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 267 TERADATA: PRODUCT LAUNCHES & ENHANCEMENTS
  • TABLE 268 TERADATA: DEALS
  • TABLE 269 VERITONE: COMPANY OVERVIEW
  • TABLE 270 VERITONE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 271 VERITONE: PRODUCT LAUNCHES & ENHANCEMENTS
  • TABLE 272 VERITONE: DEALS
  • TABLE 273 ALTAIR: COMPANY OVERVIEW
  • TABLE 274 ALTAIR: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 275 ALTAIR: PRODUCT LAUNCHES & ENHANCEMENTS
  • TABLE 276 ALTAIR: DEALS
  • TABLE 277 C3.AI: COMPANY OVERVIEW
  • TABLE 278 C3.AI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 279 C3.AI: DEALS
  • TABLE 280 PALANTIR: COMPANY OVERVIEW
  • TABLE 281 PALANTIR: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 282 PALANTIR: PRODUCT LAUNCHES & ENHANCEMENTS
  • TABLE 283 PALANTIR: DEALS
  • TABLE 284 TIBCO SOFTWARE: COMPANY OVERVIEW
  • TABLE 285 TIBCO SOFTWARE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 286 TIBCO SOFTWARE: PRODUCT LAUNCHES & ENHANCEMENTS
  • TABLE 287 DOMINO DATA LAB: COMPANY OVERVIEW
  • TABLE 288 DOMINO DATA LAB: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 289 DOMINO DATA LAB: PRODUCT LAUNCHES & ENHANCEMENTS
  • TABLE 290 DOMINO DATA LAB: DEALS
  • TABLE 291 MLOPS MARKET, BY COMPONENT, 2018-2021 (USD MILLION)
  • TABLE 292 MLOPS MARKET, BY COMPONENT, 2022-2027 (USD MILLION)
  • TABLE 293 MLOPS MARKET, BY DEPLOYMENT MODE, 2018-2021 (USD MILLION)
  • TABLE 294 MLOPS MARKET, BY DEPLOYMENT MODE, 2022-2027 (USD MILLION)
  • TABLE 295 MLOPS MARKET, BY ORGANIZATION SIZE, 2018-2021 (USD MILLION)
  • TABLE 296 MLOPS MARKET, BY ORGANIZATION SIZE, 2022-2027 (USD MILLION)
  • TABLE 297 MLOPS MARKET, BY VERTICAL, 2018-2021 (USD MILLION)
  • TABLE 298 MLOPS MARKET, BY VERTICAL, 2022-2027 (USD MILLION)
  • TABLE 299 MLOPS MARKET, BY REGION, 2018-2021 (USD MILLION)
  • TABLE 300 MLOPS MARKET, BY REGION, 2022-2027 (USD MILLION)
  • TABLE 301 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019-2023 (USD BILLION)
  • TABLE 302 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024-2030 (USD BILLION)
  • TABLE 303 ARTIFICIAL INTELLIGENCE MARKET, BY HARDWARE, 2019-2023 (USD BILLION)
  • TABLE 304 ARTIFICIAL INTELLIGENCE MARKET, BY HARDWARE, 2024-2030 (USD BILLION)
  • TABLE 305 SOFTWARE: ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2019-2023 (USD BILLION)
  • TABLE 306 SOFTWARE: ARTIFICIAL INTELLIGENCE MARKET, BY TYPE, 2024-2030 (USD BILLION)
  • TABLE 307 ARTIFICIAL INTELLIGENCE MARKET, BY SERVICES, 2019-2023 (USD BILLION)
  • TABLE 308 ARTIFICIAL INTELLIGENCE MARKET, BY SERVICES, 2024-2030 (USD BILLION)
  • TABLE 309 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2019-2023 (USD BILLION)
  • TABLE 310 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2024-2030 (USD BILLION)
  • TABLE 311 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2019-2023 (USD BILLION)
  • TABLE 312 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2024-2030 (USD BILLION)
  • TABLE 313 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2019-2023 (USD BILLION)
  • TABLE 314 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2024-2030 (USD BILLION)
  • TABLE 315 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019-2023 (USD BILLION)
  • TABLE 316 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024-2030 (USD BILLION)

List of Figures

  • FIGURE 1 MODELOPS MARKET: RESEARCH DESIGN
  • FIGURE 2 DATA TRIANGULATION
  • FIGURE 3 MODELOPS MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
  • FIGURE 4 APPROACH 1 (SUPPLY-SIDE): REVENUE FROM VENDORS OF MODELOPS PLATFORMS/SERVICES
  • FIGURE 5 APPROACH 2 (BOTTOM-UP, SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL PLATFORMS/SERVICES OF MODELOPS
  • FIGURE 6 APPROACH 3 (BOTTOM-UP, SUPPLY-SIDE): MARKET ESTIMATION FROM ALL PLATFORMS/SERVICES AND CORRESPONDING SOURCES
  • FIGURE 7 APPROACH 4 (BOTTOM-UP, DEMAND-SIDE): SHARE OF MODELOPS MARKET THROUGH OVERALL SPENDING
  • FIGURE 8 PLATFORMS SEGMENT TO DOMINATE MARKET IN 2024
  • FIGURE 9 MONITORING & OBSERVABILITY TOOLS SEGMENT TO LEAD MARKET IN 2024
  • FIGURE 10 CLOUD SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2024
  • FIGURE 11 CONSULTING SEGMENT TO LEAD MARKET IN 2024
  • FIGURE 12 ML MODELS SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2024
  • FIGURE 13 CONTINUOUS INTEGRATION/CONTINUOUS DEPLOYMENT SEGMENT TO LEAD MARKET IN 2024
  • FIGURE 14 BFSI SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE IN 2024
  • FIGURE 15 NORTH AMERICA TO ACCOUNT FOR LARGEST MARKET SHARE IN 2024
  • FIGURE 16 GROWING ADOPTION OF ML & AI MODELS TO MAXIMIZE MODELOPS POTENTIAL TO DRIVE MARKET
  • FIGURE 17 MODELOPS MARKET SIZE AND Y-O-Y GROWTH RATE
  • FIGURE 18 CONTINUOUS INTEGRATION/CONTINUOUS DEPLOYMENT SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE FROM 2024 TO 2029
  • FIGURE 19 ML MODELS AND CONTINUOUS INTEGRATION/CONTINUOUS DEPLOYMENT SEGMENTS TO ACCOUNT FOR LARGEST MARKET SHARE IN 2024
  • FIGURE 20 NORTH AMERICA TO DOMINATE MARKET IN 2024
  • FIGURE 21 MODELOPS MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
  • FIGURE 22 EVOLUTION OF MODELOPS MARKET
  • FIGURE 23 KEY PLAYERS IN MODELOPS MARKET ECOSYSTEM
  • FIGURE 24 MODELOPS MARKET: SUPPLY CHAIN ANALYSIS
  • FIGURE 25 NUMBER OF PATENTS GRANTED TO VENDORS IN LAST 5 YEARS
  • FIGURE 26 PATENT APPLICANTS IN LAST 5 YEARS
  • FIGURE 27 REGIONAL ANALYSIS OF PATENTS GRANTED, 2020-2024
  • FIGURE 28 PORTER'S FIVE FORCES ANALYSIS
  • FIGURE 29 AVERAGE SELLING PRICE OF KEY PLAYERS, BY APPLICATIONS
  • FIGURE 30 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • FIGURE 31 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 VERTICALS
  • FIGURE 32 KEY BUYING CRITERIA FOR TOP 3 VERTICALS
  • FIGURE 33 MODELOPS MARKET: INVESTMENT AND FUNDING SCENARIO (USD MILLION AND NUMBER OF FUNDING ROUNDS)
  • FIGURE 34 PLATFORMS SEGMENT TO LEAD MARKET DURING FORECAST PERIOD
  • FIGURE 35 MONITORING & OBSERVABILITY TOOLS SEGMENT TO LEAD MARKET DURING FORECAST PERIOD
  • FIGURE 36 CLOUD SEGMENT TO LEAD MARKET DURING FORECAST PERIOD
  • FIGURE 37 CONSULTING SEGMENT TO LEAD MARKET DURING FORECAST PERIOD
  • FIGURE 38 GRAPH-BASED MODELS SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 39 MONITORING & ALERTING SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 40 BFSI SEGMENT TO DOMINATE MARKET FROM 2024 TO 2029
  • FIGURE 41 NORTH AMERICA TO LEAD MARKET DURING FORECAST PERIOD
  • FIGURE 42 INDIA TO WITNESS FASTEST GROWTH DURING FORECAST PERIOD
  • FIGURE 43 NORTH AMERICA: MODELOPS MARKET SNAPSHOT
  • FIGURE 44 ASIA PACIFIC: MODELOPS MARKET SNAPSHOT
  • FIGURE 45 TOP 5 PLAYERS DOMINATED MARKET IN LAST 5 YEARS
  • FIGURE 46 MARKET SHARE ANALYSIS FOR KEY PLAYERS, 2023
  • FIGURE 47 PRODUCT COMPARATIVE ANALYSIS
  • FIGURE 48 MODELOPS MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2023
  • FIGURE 49 MODELOPS MARKET: COMPANY FOOTPRINT (12 COMPANIES)
  • FIGURE 50 MODELOPS MARKET: COMPANY EVALUATION MATRIX (START-UPS/SMES), 2023
  • FIGURE 51 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS
  • FIGURE 52 YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND FIVE-YEAR STOCK BETA OF KEY VENDORS
  • FIGURE 53 IBM: COMPANY SNAPSHOT
  • FIGURE 54 GOOGLE: COMPANY SNAPSHOT
  • FIGURE 55 AWS: COMPANY SNAPSHOT
  • FIGURE 56 ORACLE: COMPANY SNAPSHOT
  • FIGURE 57 TERADATA: COMPANY SNAPSHOT
  • FIGURE 58 VERITONE: COMPANY SNAPSHOT
  • FIGURE 59 ALTAIR: COMPANY SNAPSHOT
  • FIGURE 60 C3.AI: COMPANY SNAPSHOT
  • FIGURE 61 PALANTIR: COMPANY SNAPSHOT