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Machine Learning Market by Offering, Deployment Mode, Application, End User Industry - Global Forecast to 2030- Product Image
Machine Learning Market by Offering, Deployment Mode, Application, End User Industry - Global Forecast to 2030- Product Image
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Machine Learning Market by Offering, Deployment Mode, Application, End User Industry - Global Forecast to 2030

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  • 199 Pages
  • May 2025
  • Region: Global
  • 360iResearch™
  • ID: 6016506
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The Machine Learning Market grew from USD 22.56 billion in 2024 to USD 25.06 billion in 2025. It is expected to continue growing at a CAGR of 11.01%, reaching USD 42.23 billion by 2030.

Setting the Stage for Machine Learning Excellence

The rapid evolution of machine learning has transformed from a niche research endeavor into a central pillar of modern business strategy. Organizations seeking to harness its predictive power and operational efficiencies are investing heavily in innovations that span hardware, software, and services. In doing so, they confront a complex ecosystem shaped by technological breakthroughs, regulatory shifts, and global trade dynamics.

This executive summary offers a concise yet comprehensive assessment of the forces shaping the machine learning landscape. It lays out the critical shifts influencing market trajectories, examines the implications of recent U.S. tariff policies, reveals how diverse stakeholders segment value propositions, and highlights regional and competitive dynamics. By synthesizing these insights, decision-makers can chart informed strategies that capitalize on emerging opportunities while mitigating risks in this high-velocity arena.

Unveiling the Forces Reshaping the Machine Learning Terrain

Organizations today find themselves at an inflection point, driven by the convergence of cloud-native architectures, edge compute proliferation, and breakthroughs in deep learning. Generative AI models have moved from proof-of-concept to production workloads, challenging conventional paradigms around data privacy, ethical AI, and computational scale. In parallel, the advent of specialized accelerators and optimized model pipelines has accelerated time to value, enabling real-time inference in environments ranging from manufacturing lines to patient monitoring systems.

Regulatory frameworks are adapting as well, with data sovereignty laws and AI governance guidelines demanding more transparent model architectures and explainable decision-making. These transformative shifts underscore a broader democratization of machine learning, where smaller players now access enterprise-grade capabilities once reserved for technology giants. As ecosystems mature, the interplay of open-source frameworks, commercial platforms, and professional services is reshaping the competitive frontier.

Assessing the Ripple Effects of U.S. Tariff Revisions in 2025

In 2025, revised United States tariff policies targeting semiconductor imports and hardware components have introduced new complexities for global supply chains. Companies reliant on FPGA boards, GPU accelerators, and AI-optimized processors are encountering elevated input costs, prompting procurement teams to reevaluate vendor contracts and inventory strategies. The tariff adjustments have reverberated through contract negotiations, leading to longer lead times and a renewed emphasis on inventory buffers to guard against price volatility.

Consequently, multinationals are exploring regional manufacturing hubs and forging partnerships with domestic foundries to mitigate the impact of cross-border tariffs. While short-term cost absorption may be necessary to sustain research and development programs, forward-looking organizations are diversifying their sourcing strategies and investing in modular hardware architectures. This shift not only cushions against future trade disruptions but also fosters resilience in mission-critical deployments.

Decoding Market Segmentation for Strategic Advantage

When the market is analyzed based on offering, it reveals a layered structure beginning with hardware solutions that include ASIC implementations such as FPGAs and TPUs alongside CPU designs covering ARM and x86 architectures, as well as edge devices comprising AI accelerators and gateway platforms, and GPU products from leading vendors. Services offerings extend across consulting in implementation, integration and strategy, managed frameworks for infrastructure and model life cycle oversight, professional support in custom development and deployment integration, and comprehensive training and support modules. Software solutions encompass AI development tools, deep learning frameworks like MXNet, PyTorch and TensorFlow, machine learning platforms offering automated pipelines, MLOps functionality and model monitoring features, as well as predictive analytics suites delivering anomaly detection, forecasting algorithms and prescriptive analytics insights.

Deployment mode segmentation highlights distinct paths for adoption, with cloud deployments spanning infrastructure, platform and software-as-a-service models alongside hybrid architectures that balance on-premise and external resources, and fully on-premise installations that ensure data sovereignty and low-latency control. Application domains showcase the versatility of machine learning across computer vision tasks in facial, image and video analytics, fraud detection solutions addressing identity, insurance and transaction misuse, natural language processing services for chatbots, sentiment analysis and text mining, predictive analytics use cases in anomaly detection, forecasting and prescriptive scenarios, recommendation engines based on collaborative, content-based and hybrid filtering approaches, and speech recognition implementations in speech-to-text conversion and voice biometrics.

End user industries illustrate broad adoption patterns, with financial services covering banking, capital markets and insurance, energy and utilities spanning oil and gas, power generation and renewables, government and public sector entities in defense, education and administration, healthcare segments comprising hospitals, medical devices and pharmaceuticals, IT and telecom firms offering services and network solutions, manufacturing in both discrete and process operations, retail businesses from brick-and-mortar outlets to e-commerce platforms and large-format stores, and transportation and logistics providers in air freight, maritime, rail and road networks. Each category presents unique implementation challenges and growth drivers, underscoring the need for tailored strategies aligned with specific operational goals.

Unraveling Regional Dynamics in the Global Machine Learning Arena

The Americas region continues to lead in machine learning investments, fueled by robust cloud infrastructure, a concentration of hyperscale data centers, and a vibrant ecosystem of startups and established technology firms. Innovation hubs across North America are pioneering advances in AI ethics, healthcare diagnostics, and industrial automation, setting trends that reverberate globally.

In Europe, Middle East & Africa, a patchwork of regulatory regimes and data localization laws shapes adoption curves, with leading use cases in smart cities, financial compliance and energy management. Collaboration between governments and private sectors is driving pilot programs in predictive maintenance and public safety, while academic institutions contribute to a steady pipeline of AI talent.

Asia-Pacific is characterized by rapid uptake of machine learning in manufacturing, retail and telecommunications. Countries in this region are investing heavily in edge compute deployments to support real-time applications, from automated quality control in factories to personalized customer experiences in digital commerce. Strategic partnerships and local innovation clusters are fostering scalable solutions that address diverse market needs.

Spotlight on Market Leaders Driving Innovation

Competitive landscapes are defined by a handful of technology powerhouses that invest billions in R&D to advance accelerator architectures, optimize training frameworks and integrate AI services into comprehensive cloud offerings. Leading semiconductor manufacturers continue to push process nodes and specialized core designs, while software incumbents acquire niche framework developers to expand their deep learning toolkits.

Strategic partnerships between cloud providers and system integrators are accelerating deployment cycles, delivering pre-validated solutions that combine hardware, platform services and domain-specific expertise. At the same time, nimble startups are carving out pockets of innovation in areas such as explainable AI, federated learning and verticalized analytics. These players often become acquisition targets for larger incumbents seeking to bolster their portfolios with specialized capabilities.

Guiding Actionable Strategies for Competitive Growth

To stay ahead, industry leaders should prioritize end-to-end orchestration of machine learning pipelines, ensuring seamless integration between data ingestion, model development and operational deployment. Investing in modular hardware that can be upgraded independently of software stacks will reduce total cost of ownership and enable rapid adoption of future accelerator designs.

Hybrid deployment strategies that balance cloud elasticity with on-premise security controls can address both performance and compliance requirements. Organizations should cultivate cross-functional teams that blend data scientists, software engineers and domain experts, fostering a unified approach to model development and validation. Continuous monitoring frameworks and automated retraining loops will ensure that models remain effective as underlying data patterns evolve.

Finally, building strategic alliances with ecosystem partners-whether they are infrastructure vendors, vertical specialists or academic research centers-can accelerate time to value while spreading risk. By adopting open standards and participating in collaborative forums, companies can influence emerging protocols and safeguard interoperability.

Ensuring Rigor: Our Research Framework Explained

This analysis is grounded in a comprehensive research framework that begins with extensive secondary research across industry publications, patent filings and regulatory documents. Primary research interviews with C-level executives, technology architects and supply chain managers validate emerging trends and quantify qualitative drivers. Data triangulation ensures consistency between diverse sources, while a rigorous segmentation model dissects the market across offerings, deployment modes, applications and industries.

A dedicated team of analysts applies advanced qualitative and quantitative methods, including scenario analysis and cross-sectional benchmarking, to uncover underlying market dynamics. All findings undergo peer review to uphold methodological integrity. Finally, the research is stress-tested through expert panels comprising academics, consultants and end-user representatives, resulting in actionable insights that stand up to real-world scrutiny.

Synthesizing Insights to Propel Decision-Making

The confluence of technological innovation, shifting trade policies and evolving user demands positions the machine learning market at a critical juncture. Companies that navigate this terrain successfully will harness specialized hardware, balanced deployment models and domain-tailored applications to drive measurable business outcomes. Understanding the nuanced segmentation, regional variations and competitive ecosystem is imperative for crafting resilient strategies.

By integrating these insights into investment decisions, technology roadmaps and partnership strategies, organizations can accelerate their journey toward intelligent automation and data-driven decision-making. The future of machine learning will be defined not only by algorithmic breakthroughs but also by the strategic choices that shape ecosystems and foster sustainable growth.

Market Segmentation & Coverage

This research report categorizes to forecast the revenues and analyze trends in each of the following sub-segmentations:
  • Offering
    • Hardware
      • ASIC Solutions
        • FPGAs
        • TPUs
      • CPU Solutions
        • ARM CPUs
        • x86 CPUs
      • Edge Devices
        • Edge AI Accelerators
        • Edge Gateways
      • GPU Solutions
        • AMD GPUs
        • NVIDIA GPUs
    • Services
      • Consulting Services
        • Implementation Consulting
        • Integration Consulting
        • Strategy Consulting
      • Managed Services
        • Infrastructure Management
        • ML Model Management
      • Professional Services
        • Custom Development
        • Deployment & Integration
      • Training & Support Services
    • Software
      • AI Development Tools
      • Deep Learning Frameworks
        • MXNet
        • PyTorch
        • TensorFlow
      • Machine Learning Platforms
        • Automated Machine Learning
        • MLOps Platforms
        • Model Monitoring Tools
      • Predictive Analytics Software
        • Anomaly Detection Tools
        • Forecasting Applications
        • Prescriptive Analytics
  • Deployment Mode
    • Cloud
      • IaaS
      • PaaS
      • SaaS
    • Hybrid
    • On Premise
  • Application
    • Computer Vision
      • Facial Recognition
      • Image Recognition
      • Video Analytics
    • Fraud Detection
      • Identity Fraud
      • Insurance Fraud
      • Transaction Fraud
    • Natural Language Processing
      • Chatbots
      • Sentiment Analysis
      • Text Mining
    • Predictive Analytics
      • Anomaly Detection
      • Forecasting
      • Prescriptive Analytics
    • Recommendation Systems
      • Collaborative Filtering
      • Content Based Filtering
      • Hybrid Recommenders
    • Speech Recognition
      • Speech-to-Text
      • Voice Biometrics
  • End User Industry
    • BFSI
      • Banking
      • Capital Markets
      • Insurance
    • Energy & Utilities
      • Oil And Gas
      • Power Generation
      • Renewable Energy
    • Government & Public Sector
      • Defense
      • Education
      • Public Administration
    • Healthcare
      • Hospitals And Clinics
      • Medical Devices
      • Pharmaceuticals
    • IT & Telecom
      • IT Services
      • Telecom Providers
    • Manufacturing
      • Discrete Manufacturing
      • Process Manufacturing
    • Retail
      • Brick And Mortar
      • E-Commerce
      • Hypermarkets And Supermarkets
    • Transportation & Logistics
      • Air Freight
      • Maritime
      • Railways
      • Roadways
This research report categorizes to forecast the revenues and analyze trends in each of the following sub-regions:
  • Americas
    • United States
      • California
      • Texas
      • New York
      • Florida
      • Illinois
      • Pennsylvania
      • Ohio
    • Canada
    • Mexico
    • Brazil
    • Argentina
  • Europe, Middle East & Africa
    • United Kingdom
    • Germany
    • France
    • Russia
    • Italy
    • Spain
    • United Arab Emirates
    • Saudi Arabia
    • South Africa
    • Denmark
    • Netherlands
    • Qatar
    • Finland
    • Sweden
    • Nigeria
    • Egypt
    • Turkey
    • Israel
    • Norway
    • Poland
    • Switzerland
  • Asia-Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
    • Indonesia
    • Thailand
    • Philippines
    • Malaysia
    • Singapore
    • Vietnam
    • Taiwan
This research report categorizes to delves into recent significant developments and analyze trends in each of the following companies:
  • Amazon Web Services, Inc.
  • Microsoft Corporation
  • Google LLC
  • International Business Machines Corporation
  • Salesforce, Inc.
  • Oracle Corporation
  • SAP SE
  • SAS Institute Inc.
  • NVIDIA Corporation

 

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Table of Contents

1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders
2. Research Methodology
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update
3. Executive Summary
4. Market Overview
4.1. Introduction
4.2. Market Sizing & Forecasting
5. Market Dynamics
6. Market Insights
6.1. Porter’s Five Forces Analysis
6.2. PESTLE Analysis
7. Cumulative Impact of United States Tariffs 2025
8. Machine Learning Market, by Offering
8.1. Introduction
8.2. Hardware
8.2.1. ASIC Solutions
8.2.1.1. FPGAs
8.2.1.2. TPUs
8.2.2. CPU Solutions
8.2.2.1. ARM CPUs
8.2.2.2. x86 CPUs
8.2.3. Edge Devices
8.2.3.1. Edge AI Accelerators
8.2.3.2. Edge Gateways
8.2.4. GPU Solutions
8.2.4.1. AMD GPUs
8.2.4.2. NVIDIA GPUs
8.3. Services
8.3.1. Consulting Services
8.3.1.1. Implementation Consulting
8.3.1.2. Integration Consulting
8.3.1.3. Strategy Consulting
8.3.2. Managed Services
8.3.2.1. Infrastructure Management
8.3.2.2. ML Model Management
8.3.3. Professional Services
8.3.3.1. Custom Development
8.3.3.2. Deployment & Integration
8.3.4. Training & Support Services
8.4. Software
8.4.1. AI Development Tools
8.4.2. Deep Learning Frameworks
8.4.2.1. MXNet
8.4.2.2. PyTorch
8.4.2.3. TensorFlow
8.4.3. Machine Learning Platforms
8.4.3.1. Automated Machine Learning
8.4.3.2. MLOps Platforms
8.4.3.3. Model Monitoring Tools
8.4.4. Predictive Analytics Software
8.4.4.1. Anomaly Detection Tools
8.4.4.2. Forecasting Applications
8.4.4.3. Prescriptive Analytics
9. Machine Learning Market, by Deployment Mode
9.1. Introduction
9.2. Cloud
9.2.1. IaaS
9.2.2. PaaS
9.2.3. SaaS
9.3. Hybrid
9.4. on Premise
10. Machine Learning Market, by Application
10.1. Introduction
10.2. Computer Vision
10.2.1. Facial Recognition
10.2.2. Image Recognition
10.2.3. Video Analytics
10.3. Fraud Detection
10.3.1. Identity Fraud
10.3.2. Insurance Fraud
10.3.3. Transaction Fraud
10.4. Natural Language Processing
10.4.1. Chatbots
10.4.2. Sentiment Analysis
10.4.3. Text Mining
10.5. Predictive Analytics
10.5.1. Anomaly Detection
10.5.2. Forecasting
10.5.3. Prescriptive Analytics
10.6. Recommendation Systems
10.6.1. Collaborative Filtering
10.6.2. Content Based Filtering
10.6.3. Hybrid Recommenders
10.7. Speech Recognition
10.7.1. Speech-to-Text
10.7.2. Voice Biometrics
11. Machine Learning Market, by End User Industry
11.1. Introduction
11.2. BFSI
11.2.1. Banking
11.2.2. Capital Markets
11.2.3. Insurance
11.3. Energy & Utilities
11.3.1. Oil and Gas
11.3.2. Power Generation
11.3.3. Renewable Energy
11.4. Government & Public Sector
11.4.1. Defense
11.4.2. Education
11.4.3. Public Administration
11.5. Healthcare
11.5.1. Hospitals and Clinics
11.5.2. Medical Devices
11.5.3. Pharmaceuticals
11.6. IT & Telecom
11.6.1. IT Services
11.6.2. Telecom Providers
11.7. Manufacturing
11.7.1. Discrete Manufacturing
11.7.2. Process Manufacturing
11.8. Retail
11.8.1. Brick and Mortar
11.8.2. E-Commerce
11.8.3. Hypermarkets and Supermarkets
11.9. Transportation & Logistics
11.9.1. Air Freight
11.9.2. Maritime
11.9.3. Railways
11.9.4. Roadways
12. Americas Machine Learning Market
12.1. Introduction
12.2. United States
12.3. Canada
12.4. Mexico
12.5. Brazil
12.6. Argentina
13. Europe, Middle East & Africa Machine Learning Market
13.1. Introduction
13.2. United Kingdom
13.3. Germany
13.4. France
13.5. Russia
13.6. Italy
13.7. Spain
13.8. United Arab Emirates
13.9. Saudi Arabia
13.10. South Africa
13.11. Denmark
13.12. Netherlands
13.13. Qatar
13.14. Finland
13.15. Sweden
13.16. Nigeria
13.17. Egypt
13.18. Turkey
13.19. Israel
13.20. Norway
13.21. Poland
13.22. Switzerland
14. Asia-Pacific Machine Learning Market
14.1. Introduction
14.2. China
14.3. India
14.4. Japan
14.5. Australia
14.6. South Korea
14.7. Indonesia
14.8. Thailand
14.9. Philippines
14.10. Malaysia
14.11. Singapore
14.12. Vietnam
14.13. Taiwan
15. Competitive Landscape
15.1. Market Share Analysis, 2024
15.2. FPNV Positioning Matrix, 2024
15.3. Competitive Analysis
15.3.1. Amazon Web Services, Inc.
15.3.2. Microsoft Corporation
15.3.3. Google LLC
15.3.4. International Business Machines Corporation
15.3.5. Salesforce, Inc.
15.3.6. Oracle Corporation
15.3.7. SAP SE
15.3.8. SAS Institute Inc.
15.3.9. NVIDIA Corporation
16. ResearchAI
17. ResearchStatistics
18. ResearchContacts
19. ResearchArticles
20. Appendix
List of Figures
FIGURE 1. MACHINE LEARNING MARKET MULTI-CURRENCY
FIGURE 2. MACHINE LEARNING MARKET MULTI-LANGUAGE
FIGURE 3. MACHINE LEARNING MARKET RESEARCH PROCESS
FIGURE 4. GLOBAL MACHINE LEARNING MARKET SIZE, 2018-2030 (USD MILLION)
FIGURE 5. GLOBAL MACHINE LEARNING MARKET SIZE, BY REGION, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 6. GLOBAL MACHINE LEARNING MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 7. GLOBAL MACHINE LEARNING MARKET SIZE, BY OFFERING, 2024 VS 2030 (%)
FIGURE 8. GLOBAL MACHINE LEARNING MARKET SIZE, BY OFFERING, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 9. GLOBAL MACHINE LEARNING MARKET SIZE, BY DEPLOYMENT MODE, 2024 VS 2030 (%)
FIGURE 10. GLOBAL MACHINE LEARNING MARKET SIZE, BY DEPLOYMENT MODE, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 11. GLOBAL MACHINE LEARNING MARKET SIZE, BY APPLICATION, 2024 VS 2030 (%)
FIGURE 12. GLOBAL MACHINE LEARNING MARKET SIZE, BY APPLICATION, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 13. GLOBAL MACHINE LEARNING MARKET SIZE, BY END USER INDUSTRY, 2024 VS 2030 (%)
FIGURE 14. GLOBAL MACHINE LEARNING MARKET SIZE, BY END USER INDUSTRY, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 15. AMERICAS MACHINE LEARNING MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
FIGURE 16. AMERICAS MACHINE LEARNING MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 17. UNITED STATES MACHINE LEARNING MARKET SIZE, BY STATE, 2024 VS 2030 (%)
FIGURE 18. UNITED STATES MACHINE LEARNING MARKET SIZE, BY STATE, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 19. EUROPE, MIDDLE EAST & AFRICA MACHINE LEARNING MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
FIGURE 20. EUROPE, MIDDLE EAST & AFRICA MACHINE LEARNING MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 21. ASIA-PACIFIC MACHINE LEARNING MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
FIGURE 22. ASIA-PACIFIC MACHINE LEARNING MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 23. MACHINE LEARNING MARKET SHARE, BY KEY PLAYER, 2024
FIGURE 24. MACHINE LEARNING MARKET, FPNV POSITIONING MATRIX, 2024
List of Tables
TABLE 1. MACHINE LEARNING MARKET SEGMENTATION & COVERAGE
TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2024
TABLE 3. GLOBAL MACHINE LEARNING MARKET SIZE, 2018-2030 (USD MILLION)
TABLE 4. GLOBAL MACHINE LEARNING MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
TABLE 5. GLOBAL MACHINE LEARNING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
TABLE 6. GLOBAL MACHINE LEARNING MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
TABLE 7. GLOBAL MACHINE LEARNING MARKET SIZE, BY HARDWARE, BY REGION, 2018-2030 (USD MILLION)
TABLE 8. GLOBAL MACHINE LEARNING MARKET SIZE, BY ASIC SOLUTIONS, BY REGION, 2018-2030 (USD MILLION)
TABLE 9. GLOBAL MACHINE LEARNING MARKET SIZE, BY FPGAS, BY REGION, 2018-2030 (USD MILLION)
TABLE 10. GLOBAL MACHINE LEARNING MARKET SIZE, BY TPUS, BY REGION, 2018-2030 (USD MILLION)
TABLE 11. GLOBAL MACHINE LEARNING MARKET SIZE, BY ASIC SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 12. GLOBAL MACHINE LEARNING MARKET SIZE, BY CPU SOLUTIONS, BY REGION, 2018-2030 (USD MILLION)
TABLE 13. GLOBAL MACHINE LEARNING MARKET SIZE, BY ARM CPUS, BY REGION, 2018-2030 (USD MILLION)
TABLE 14. GLOBAL MACHINE LEARNING MARKET SIZE, BY X86 CPUS, BY REGION, 2018-2030 (USD MILLION)
TABLE 15. GLOBAL MACHINE LEARNING MARKET SIZE, BY CPU SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 16. GLOBAL MACHINE LEARNING MARKET SIZE, BY EDGE DEVICES, BY REGION, 2018-2030 (USD MILLION)
TABLE 17. GLOBAL MACHINE LEARNING MARKET SIZE, BY EDGE AI ACCELERATORS, BY REGION, 2018-2030 (USD MILLION)
TABLE 18. GLOBAL MACHINE LEARNING MARKET SIZE, BY EDGE GATEWAYS, BY REGION, 2018-2030 (USD MILLION)
TABLE 19. GLOBAL MACHINE LEARNING MARKET SIZE, BY EDGE DEVICES, 2018-2030 (USD MILLION)
TABLE 20. GLOBAL MACHINE LEARNING MARKET SIZE, BY GPU SOLUTIONS, BY REGION, 2018-2030 (USD MILLION)
TABLE 21. GLOBAL MACHINE LEARNING MARKET SIZE, BY AMD GPUS, BY REGION, 2018-2030 (USD MILLION)
TABLE 22. GLOBAL MACHINE LEARNING MARKET SIZE, BY NVIDIA GPUS, BY REGION, 2018-2030 (USD MILLION)
TABLE 23. GLOBAL MACHINE LEARNING MARKET SIZE, BY GPU SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 24. GLOBAL MACHINE LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 25. GLOBAL MACHINE LEARNING MARKET SIZE, BY SERVICES, BY REGION, 2018-2030 (USD MILLION)
TABLE 26. GLOBAL MACHINE LEARNING MARKET SIZE, BY CONSULTING SERVICES, BY REGION, 2018-2030 (USD MILLION)
TABLE 27. GLOBAL MACHINE LEARNING MARKET SIZE, BY IMPLEMENTATION CONSULTING, BY REGION, 2018-2030 (USD MILLION)
TABLE 28. GLOBAL MACHINE LEARNING MARKET SIZE, BY INTEGRATION CONSULTING, BY REGION, 2018-2030 (USD MILLION)
TABLE 29. GLOBAL MACHINE LEARNING MARKET SIZE, BY STRATEGY CONSULTING, BY REGION, 2018-2030 (USD MILLION)
TABLE 30. GLOBAL MACHINE LEARNING MARKET SIZE, BY CONSULTING SERVICES, 2018-2030 (USD MILLION)
TABLE 31. GLOBAL MACHINE LEARNING MARKET SIZE, BY MANAGED SERVICES, BY REGION, 2018-2030 (USD MILLION)
TABLE 32. GLOBAL MACHINE LEARNING MARKET SIZE, BY INFRASTRUCTURE MANAGEMENT, BY REGION, 2018-2030 (USD MILLION)
TABLE 33. GLOBAL MACHINE LEARNING MARKET SIZE, BY ML MODEL MANAGEMENT, BY REGION, 2018-2030 (USD MILLION)
TABLE 34. GLOBAL MACHINE LEARNING MARKET SIZE, BY MANAGED SERVICES, 2018-2030 (USD MILLION)
TABLE 35. GLOBAL MACHINE LEARNING MARKET SIZE, BY PROFESSIONAL SERVICES, BY REGION, 2018-2030 (USD MILLION)
TABLE 36. GLOBAL MACHINE LEARNING MARKET SIZE, BY CUSTOM DEVELOPMENT, BY REGION, 2018-2030 (USD MILLION)
TABLE 37. GLOBAL MACHINE LEARNING MARKET SIZE, BY DEPLOYMENT & INTEGRATION, BY REGION, 2018-2030 (USD MILLION)
TABLE 38. GLOBAL MACHINE LEARNING MARKET SIZE, BY PROFESSIONAL SERVICES, 2018-2030 (USD MILLION)
TABLE 39. GLOBAL MACHINE LEARNING MARKET SIZE, BY TRAINING & SUPPORT SERVICES, BY REGION, 2018-2030 (USD MILLION)
TABLE 40. GLOBAL MACHINE LEARNING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 41. GLOBAL MACHINE LEARNING MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
TABLE 42. GLOBAL MACHINE LEARNING MARKET SIZE, BY AI DEVELOPMENT TOOLS, BY REGION, 2018-2030 (USD MILLION)
TABLE 43. GLOBAL MACHINE LEARNING MARKET SIZE, BY DEEP LEARNING FRAMEWORKS, BY REGION, 2018-2030 (USD MILLION)
TABLE 44. GLOBAL MACHINE LEARNING MARKET SIZE, BY MXNET, BY REGION, 2018-2030 (USD MILLION)
TABLE 45. GLOBAL MACHINE LEARNING MARKET SIZE, BY PYTORCH, BY REGION, 2018-2030 (USD MILLION)
TABLE 46. GLOBAL MACHINE LEARNING MARKET SIZE, BY TENSORFLOW, BY REGION, 2018-2030 (USD MILLION)
TABLE 47. GLOBAL MACHINE LEARNING MARKET SIZE, BY DEEP LEARNING FRAMEWORKS, 2018-2030 (USD MILLION)
TABLE 48. GLOBAL MACHINE LEARNING MARKET SIZE, BY MACHINE LEARNING PLATFORMS, BY REGION, 2018-2030 (USD MILLION)
TABLE 49. GLOBAL MACHINE LEARNING MARKET SIZE, BY AUTOMATED MACHINE LEARNING, BY REGION, 2018-2030 (USD MILLION)
TABLE 50. GLOBAL MACHINE LEARNING MARKET SIZE, BY MLOPS PLATFORMS, BY REGION, 2018-2030 (USD MILLION)
TABLE 51. GLOBAL MACHINE LEARNING MARKET SIZE, BY MODEL MONITORING TOOLS, BY REGION, 2018-2030 (USD MILLION)
TABLE 52. GLOBAL MACHINE LEARNING MARKET SIZE, BY MACHINE LEARNING PLATFORMS, 2018-2030 (USD MILLION)
TABLE 53. GLOBAL MACHINE LEARNING MARKET SIZE, BY PREDICTIVE ANALYTICS SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
TABLE 54. GLOBAL MACHINE LEARNING MARKET SIZE, BY ANOMALY DETECTION TOOLS, BY REGION, 2018-2030 (USD MILLION)
TABLE 55. GLOBAL MACHINE LEARNING MARKET SIZE, BY FORECASTING APPLICATIONS, BY REGION, 2018-2030 (USD MILLION)
TABLE 56. GLOBAL MACHINE LEARNING MARKET SIZE, BY PRESCRIPTIVE ANALYTICS, BY REGION, 2018-2030 (USD MILLION)
TABLE 57. GLOBAL MACHINE LEARNING MARKET SIZE, BY PREDICTIVE ANALYTICS SOFTWARE, 2018-2030 (USD MILLION)
TABLE 58. GLOBAL MACHINE LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 59. GLOBAL MACHINE LEARNING MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
TABLE 60. GLOBAL MACHINE LEARNING MARKET SIZE, BY CLOUD, BY REGION, 2018-2030 (USD MILLION)
TABLE 61. GLOBAL MACHINE LEARNING MARKET SIZE, BY IAAS, BY REGION, 2018-2030 (USD MILLION)
TABLE 62. GLOBAL MACHINE LEARNING MARKET SIZE, BY PAAS, BY REGION, 2018-2030 (USD MILLION)
TABLE 63. GLOBAL MACHINE LEARNING MARKET SIZE, BY SAAS, BY REGION, 2018-2030 (USD MILLION)
TABLE 64. GLOBAL MACHINE LEARNING MARKET SIZE, BY CLOUD, 2018-2030 (USD MILLION)
TABLE 65. GLOBAL MACHINE LEARNING MARKET SIZE, BY HYBRID, BY REGION, 2018-2030 (USD MILLION)
TABLE 66. GLOBAL MACHINE LEARNING MARKET SIZE, BY ON PREMISE, BY REGION, 2018-2030 (USD MILLION)
TABLE 67. GLOBAL MACHINE LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 68. GLOBAL MACHINE LEARNING MARKET SIZE, BY COMPUTER VISION, BY REGION, 2018-2030 (USD MILLION)
TABLE 69. GLOBAL MACHINE LEARNING MARKET SIZE, BY FACIAL RECOGNITION, BY REGION, 2018-2030 (USD MILLION)
TABLE 70. GLOBAL MACHINE LEARNING MARKET SIZE, BY IMAGE RECOGNITION, BY REGION, 2018-2030 (USD MILLION)
TABLE 71. GLOBAL MACHINE LEARNING MARKET SIZE, BY VIDEO ANALYTICS, BY REGION, 2018-2030 (USD MILLION)
TABLE 72. GLOBAL MACHINE LEARNING MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
TABLE 73. GLOBAL MACHINE LEARNING MARKET SIZE, BY FRAUD DETECTION, BY REGION, 2018-2030 (USD MILLION)
TABLE 74. GLOBAL MACHINE LEARNING MARKET SIZE, BY IDENTITY FRAUD, BY REGION, 2018-2030 (USD MILLION)
TABLE 75. GLOBAL MACHINE LEARNING MARKET SIZE, BY INSURANCE FRAUD, BY REGION, 2018-2030 (USD MILLION)
TABLE 76. GLOBAL MACHINE LEARNING MARKET SIZE, BY TRANSACTION FRAUD, BY REGION, 2018-2030 (USD MILLION)
TABLE 77. GLOBAL MACHINE LEARNING MARKET SIZE, BY FRAUD DETECTION, 2018-2030 (USD MILLION)
TABLE 78. GLOBAL MACHINE LEARNING MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY REGION, 2018-2030 (USD MILLION)
TABLE 79. GLOBAL MACHINE LEARNING MARKET SIZE, BY CHATBOTS, BY REGION, 2018-2030 (USD MILLION)
TABLE 80. GLOBAL MACHINE LEARNING MARKET SIZE, BY SENTIMENT ANALYSIS, BY REGION, 2018-2030 (USD MILLION)
TABLE 81. GLOBAL MACHINE LEARNING MARKET SIZE, BY TEXT MINING, BY REGION, 2018-2030 (USD MILLION)
TABLE 82. GLOBAL MACHINE LEARNING MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
TABLE 83. GLOBAL MACHINE LEARNING MARKET SIZE, BY PREDICTIVE ANALYTICS, BY REGION, 2018-2030 (USD MILLION)
TABLE 84. GLOBAL MACHINE LEARNING MARKET SIZE, BY ANOMALY DETECTION, BY REGION, 2018-2030 (USD MILLION)
TABLE 85. GLOBAL MACHINE LEARNING MARKET SIZE, BY FORECASTING, BY REGION, 2018-2030 (USD MILLION)
TABLE 86. GLOBAL MACHINE LEARNING MARKET SIZE, BY PRESCRIPTIVE ANALYTICS, BY REGION, 2018-2030 (USD MILLION)
TABLE 87. GLOBAL MACHINE LEARNING MARKET SIZE, BY PREDICTIVE ANALYTICS, 2018-2030 (USD MILLION)
TABLE 88. GLOBAL MACHINE LEARNING MARKET SIZE, BY RECOMMENDATION SYSTEMS, BY REGION, 2018-2030 (USD MILLION)
TABLE 89. GLOBAL MACHINE LEARNING MARKET SIZE, BY COLLABORATIVE FILTERING, BY REGION, 2018-2030 (USD MILLION)
TABLE 90. GLOBAL MACHINE LEARNING MARKET SIZE, BY CONTENT BASED FILTERING, BY REGION, 2018-2030 (USD MILLION)
TABLE 91. GLOBAL MACHINE LEARNING MARKET SIZE, BY HYBRID RECOMMENDERS, BY REGION, 2018-2030 (USD MILLION)
TABLE 92. GLOBAL MACHINE LEARNING MARKET SIZE, BY RECOMMENDATION SYSTEMS, 2018-2030 (USD MILLION)
TABLE 93. GLOBAL MACHINE LEARNING MARKET SIZE, BY SPEECH RECOGNITION, BY REGION, 2018-2030 (USD MILLION)
TABLE 94. GLOBAL MACHINE LEARNING MARKET SIZE, BY SPEECH-TO-TEXT, BY REGION, 2018-2030 (USD MILLION)
TABLE 95. GLOBAL MACHINE LEARNING MARKET SIZE, BY VOICE BIOMETRICS, BY REGION, 2018-2030 (USD MILLION)
TABLE 96. GLOBAL MACHINE LEARNING MARKET SIZE, BY SPEECH RECOGNITION, 2018-2030 (USD MILLION)
TABLE 97. GLOBAL MACHINE LEARNING MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
TABLE 98. GLOBAL MACHINE LEARNING MARKET SIZE, BY BFSI, BY REGION, 2018-2030 (USD MILLION)
TABLE 99. GLOBAL MACHINE LEARNING MARKET SIZE, BY BANKING, BY REGION, 2018-2030 (USD MILLION)
TABLE 100. GLOBAL MACHINE LEARNING MARKET SIZE, BY CAPITAL MARKETS, BY REGION, 2018-2030 (USD MILLION)
TABLE 101. GLOBAL MACHINE LEARNING MARKET SIZE, BY INSURANCE, BY REGION, 2018-2030 (USD MILLION)
TABLE 102. GLOBAL MACHINE LEARNING MARKET SIZE, BY BFSI, 2018-2030 (USD MILLION)
TABLE 103. GLOBAL MACHINE LEARNING MARKET SIZE, BY ENERGY & UTILITIES, BY REGION, 2018-2030 (USD MILLION)
TABLE 104. GLOBAL MACHINE LEARNING MARKET SIZE, BY OIL AND GAS, BY REGION, 2018-2030 (USD MILLION)
TABLE 105. GLOBAL MACHINE LEARNING MARKET SIZE, BY POWER GENERATION, BY REGION, 2018-2030 (USD MILLION)
TABLE 106. GLOBAL MACHINE LEARNING MARKET SIZE, BY RENEWABLE ENERGY, BY REGION, 2018-2030 (USD MILLION)
TABLE 107. GLOBAL MACHINE LEARNING MARKET SIZE, BY ENERGY & UTILITIES, 2018-2030 (USD MILLION)
TABLE 108. GLOBAL MACHINE LEARNING MARKET SIZE, BY GOVERNMENT & PUBLIC SECTOR, BY REGION, 2018-2030 (USD MILLION)
TABLE 109. GLOBAL MACHINE LEARNING MARKET SIZE, BY DEFENSE, BY REGION, 2018-2030 (USD MILLION)
TABLE 110. GLOBAL MACHINE LEARNING MARKET SIZE, BY EDUCATION, BY REGION, 2018-2030 (USD MILLION)
TABLE 111. GLOBAL MACHINE LEARNING MARKET SIZE, BY PUBLIC ADMINISTRATION, BY REGION, 2018-2030 (USD MILLION)
TABLE 112. GLOBAL MACHINE LEARNING MARKET SIZE, BY GOVERNMENT & PUBLIC SECTOR, 2018-2030 (USD MILLION)
TABLE 113. GLOBAL MACHINE LEARNING MARKET SIZE, BY HEALTHCARE, BY REGION, 2018-2030 (USD MILLION)
TABLE 114. GLOBAL MACHINE LEARNING MARKET SIZE, BY HOSPITALS AND CLINICS, BY REGION, 2018-2030 (USD MILLION)
TABLE 115. GLOBAL MACHINE LEARNING MARKET SIZE, BY MEDICAL DEVICES, BY REGION, 2018-2030 (USD MILLION)
TABLE 116. GLOBAL MACHINE LEARNING MARKET SIZE, BY PHARMACEUTICALS, BY REGION, 2018-2030 (USD MILLION)
TABLE 117. GLOBAL MACHINE LEARNING MARKET SIZE, BY HEALTHCARE, 2018-2030 (USD MILLION)
TABLE 118. GLOBAL MACHINE LEARNING MARKET SIZE, BY IT & TELECOM, BY REGION, 2018-2030 (USD MILLION)
TABLE 119. GLOBAL MACHINE LEARNING MARKET SIZE, BY IT SERVICES, BY REGION, 2018-2030 (USD MILLION)
TABLE 120. GLOBAL MACHINE LEARNING MARKET SIZE, BY TELECOM PROVIDERS, BY REGION, 2018-2030 (USD MILLION)
TABLE 121. GLOBAL MACHINE LEARNING MARKET SIZE, BY IT & TELECOM, 2018-2030 (USD MILLION)
TABLE 122. GLOBAL MACHINE LEARNING MARKET SIZE, BY MANUFACTURING, BY REGION, 2018-2030 (USD MILLION)
TABLE 123. GLOBAL MACHINE LEARNING MARKET SIZE, BY DISCRETE MANUFACTURING, BY REGION, 2018-2030 (USD MILLION)
TABLE 124. GLOBAL MACHINE LEARNING MARKET SIZE, BY PROCESS MANUFACTURING, BY REGION, 2018-2030 (USD MILLION)
TABLE 125. GLOBAL MACHINE LEARNING MARKET SIZE, BY MANUFACTURING, 2018-2030 (USD MILLION)
TABLE 126. GLOBAL MACHINE LEARNING MARKET SIZE, BY RETAIL, BY REGION, 2018-2030 (USD MILLION)
TABLE 127. GLOBAL MACHINE LEARNING MARKET SIZE, BY BRICK AND MORTAR, BY REGION, 2018-2030 (USD MILLION)
TABLE 128. GLOBAL MACHINE LEARNING MARKET SIZE, BY E-COMMERCE, BY REGION, 2018-2030 (USD MILLION)
TABLE 129. GLOBAL MACHINE LEARNING MARKET SIZE, BY HYPERMARKETS AND SUPERMARKETS, BY REGION, 2018-2030 (USD MILLION)
TABLE 130. GLOBAL MACHINE LEARNING MARKET SIZE, BY RETAIL, 2018-2030 (USD MILLION)
TABLE 131. GLOBAL MACHINE LEARNING MARKET SIZE, BY TRANSPORTATION & LOGISTICS, BY REGION, 2018-2030 (USD MILLION)
TABLE 132. GLOBAL MACHINE LEARNING MARKET SIZE, BY AIR FREIGHT, BY REGION, 2018-2030 (USD MILLION)
TABLE 133. GLOBAL MACHINE LEARNING MARKET SIZE, BY MARITIME, BY REGION, 2018-2030 (USD MILLION)
TABLE 134. GLOBAL MACHINE LEARNING MARKET SIZE, BY RAILWAYS, BY REGION, 2018-2030 (USD MILLION)
TABLE 135. GLOBAL MACHINE LEARNING MARKET SIZE, BY ROADWAYS, BY REGION, 2018-2030 (USD MILLION)
TABLE 136. GLOBAL MACHINE LEARNING MARKET SIZE, BY TRANSPORTATION & LOGISTICS, 2018-2030 (USD MILLION)
TABLE 137. AMERICAS MACHINE LEARNING MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
TABLE 138. AMERICAS MACHINE LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 139. AMERICAS MACHINE LEARNING MARKET SIZE, BY ASIC SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 140. AMERICAS MACHINE LEARNING MARKET SIZE, BY CPU SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 141. AMERICAS MACHINE LEARNING MARKET SIZE, BY EDGE DEVICES, 2018-2030 (USD MILLION)
TABLE 142. AMERICAS MACHINE LEARNING MARKET SIZE, BY GPU SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 143. AMERICAS MACHINE LEARNING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 144. AMERICAS MACHINE LEARNING MARKET SIZE, BY CONSULTING SERVICES, 2018-2030 (USD MILLION)
TABLE 145. AMERICAS MACHINE LEARNING MARKET SIZE, BY MANAGED SERVICES, 2018-2030 (USD MILLION)
TABLE 146. AMERICAS MACHINE LEARNING MARKET SIZE, BY PROFESSIONAL SERVICES, 2018-2030 (USD MILLION)
TABLE 147. AMERICAS MACHINE LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 148. AMERICAS MACHINE LEARNING MARKET SIZE, BY DEEP LEARNING FRAMEWORKS, 2018-2030 (USD MILLION)
TABLE 149. AMERICAS MACHINE LEARNING MARKET SIZE, BY MACHINE LEARNING PLATFORMS, 2018-2030 (USD MILLION)
TABLE 150. AMERICAS MACHINE LEARNING MARKET SIZE, BY PREDICTIVE ANALYTICS SOFTWARE, 2018-2030 (USD MILLION)
TABLE 151. AMERICAS MACHINE LEARNING MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
TABLE 152. AMERICAS MACHINE LEARNING MARKET SIZE, BY CLOUD, 2018-2030 (USD MILLION)
TABLE 153. AMERICAS MACHINE LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 154. AMERICAS MACHINE LEARNING MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
TABLE 155. AMERICAS MACHINE LEARNING MARKET SIZE, BY FRAUD DETECTION, 2018-2030 (USD MILLION)
TABLE 156. AMERICAS MACHINE LEARNING MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
TABLE 157. AMERICAS MACHINE LEARNING MARKET SIZE, BY PREDICTIVE ANALYTICS, 2018-2030 (USD MILLION)
TABLE 158. AMERICAS MACHINE LEARNING MARKET SIZE, BY RECOMMENDATION SYSTEMS, 2018-2030 (USD MILLION)
TABLE 159. AMERICAS MACHINE LEARNING MARKET SIZE, BY SPEECH RECOGNITION, 2018-2030 (USD MILLION)
TABLE 160. AMERICAS MACHINE LEARNING MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
TABLE 161. AMERICAS MACHINE LEARNING MARKET SIZE, BY BFSI, 2018-2030 (USD MILLION)
TABLE 162. AMERICAS MACHINE LEARNING MARKET SIZE, BY ENERGY & UTILITIES, 2018-2030 (USD MILLION)
TABLE 163. AMERICAS MACHINE LEARNING MARKET SIZE, BY GOVERNMENT & PUBLIC SECTOR, 2018-2030 (USD MILLION)
TABLE 164. AMERICAS MACHINE LEARNING MARKET SIZE, BY HEALTHCARE, 2018-2030 (USD MILLION)
TABLE 165. AMERICAS MACHINE LEARNING MARKET SIZE, BY IT & TELECOM, 2018-2030 (USD MILLION)
TABLE 166. AMERICAS MACHINE LEARNING MARKET SIZE, BY MANUFACTURING, 2018-2030 (USD MILLION)
TABLE 167. AMERICAS MACHINE LEARNING MARKET SIZE, BY RETAIL, 2018-2030 (USD MILLION)
TABLE 168. AMERICAS MACHINE LEARNING MARKET SIZE, BY TRANSPORTATION & LOGISTICS, 2018-2030 (USD MILLION)
TABLE 169. AMERICAS MACHINE LEARNING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
TABLE 170. UNITED STATES MACHINE LEARNING MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
TABLE 171. UNITED STATES MACHINE LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 172. UNITED STATES MACHINE LEARNING MARKET SIZE, BY ASIC SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 173. UNITED STATES MACHINE LEARNING MARKET SIZE, BY CPU SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 174. UNITED STATES MACHINE LEARNING MARKET SIZE, BY EDGE DEVICES, 2018-2030 (USD MILLION)
TABLE 175. UNITED STATES MACHINE LEARNING MARKET SIZE, BY GPU SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 176. UNITED STATES MACHINE LEARNING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 177. UNITED STATES MACHINE LEARNING MARKET SIZE, BY CONSULTING SERVICES, 2018-2030 (USD MILLION)
TABLE 178. UNITED STATES MACHINE LEARNING MARKET SIZE, BY MANAGED SERVICES, 2018-2030 (USD MILLION)
TABLE 179. UNITED STATES MACHINE LEARNING MARKET SIZE, BY PROFESSIONAL SERVICES, 2018-2030 (USD MILLION)
TABLE 180. UNITED STATES MACHINE LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 181. UNITED STATES MACHINE LEARNING MARKET SIZE, BY DEEP LEARNING FRAMEWORKS, 2018-2030 (USD MILLION)
TABLE 182. UNITED STATES MACHINE LEARNING MARKET SIZE, BY MACHINE LEARNING PLATFORMS, 2018-2030 (USD MILLION)
TABLE 183. UNITED STATES MACHINE LEARNING MARKET SIZE, BY PREDICTIVE ANALYTICS SOFTWARE, 2018-2030 (USD MILLION)
TABLE 184. UNITED STATES MACHINE LEARNING MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
TABLE 185. UNITED STATES MACHINE LEARNING MARKET SIZE, BY CLOUD, 2018-2030 (USD MILLION)
TABLE 186. UNITED STATES MACHINE LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 187. UNITED STATES MACHINE LEARNING MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
TABLE 188. UNITED STATES MACHINE LEARNING MARKET SIZE, BY FRAUD DETECTION, 2018-2030 (USD MILLION)
TABLE 189. UNITED STATES MACHINE LEARNING MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
TABLE 190. UNITED STATES MACHINE LEARNING MARKET SIZE, BY PREDICTIVE ANALYTICS, 2018-2030 (USD MILLION)
TABLE 191. UNITED STATES MACHINE LEARNING MARKET SIZE, BY RECOMMENDATION SYSTEMS, 2018-2030 (USD MILLION)
TABLE 192. UNITED STATES MACHINE LEARNING MARKET SIZE, BY SPEECH RECOGNITION, 2018-2030 (USD MILLION)
TABLE 193. UNITED STATES MACHINE LEARNING MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
TABLE 194. UNITED STATES MACHINE LEARNING MARKET SIZE, BY BFSI, 2018-2030 (USD MILLION)
TABLE 195. UNITED STATES MACHINE LEARNING MARKET SIZE, BY ENERGY & UTILITIES, 2018-2030 (USD MILLION)
TABLE 196. UNITED STATES MACHINE LEARNING MARKET SIZE, BY GOVERNMENT & PUBLIC SECTOR, 2018-2030 (USD MILLION)
TABLE 197. UNITED STATES MACHINE LEARNING MARKET SIZE, BY HEALTHCARE, 2018-2030 (USD MILLION)
TABLE 198. UNITED STATES MACHINE LEARNING MARKET SIZE, BY IT & TELECOM, 2018-2030 (USD MILLION)
TABLE 199. UNITED STATES MACHINE LEARNING MARKET SIZE, BY MANUFACTURING, 2018-2030 (USD MILLION)
TABLE 200. UNITED STATES MACHINE LEARNING MARKET SIZE, BY RETAIL, 2018-2030 (USD MILLION)
TABLE 201. UNITED STATES MACHINE LEARNING MARKET SIZE, BY TRANSPORTATION & LOGISTICS, 2018-2030 (USD MILLION)
TABLE 202. UNITED STATES MACHINE LEARNING MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
TABLE 203. CANADA MACHINE LEARNING MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
TABLE 204. CANADA MACHINE LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 205. CANADA MACHINE LEARNING MARKET SIZE, BY ASIC SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 206. CANADA MACHINE LEARNING MARKET SIZE, BY CPU SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 207. CANADA MACHINE LEARNING MARKET SIZE, BY EDGE DEVICES, 2018-2030 (USD MILLION)
TABLE 208. CANADA MACHINE LEARNING MARKET SIZE, BY GPU SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 209. CANADA MACHINE LEARNING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 210. CANADA MACHINE LEARNING MARKET SIZE, BY CONSULTING SERVICES, 2018-2030 (USD MILLION)
TABLE 211. CANADA MACHINE LEARNING MARKET SIZE, BY MANAGED SERVICES, 2018-2030 (USD MILLION)
TABLE 212. CANADA MACHINE LEARNING MARKET SIZE, BY PROFESSIONAL SERVICES, 2018-2030 (USD MILLION)
TABLE 213. CANADA MACHINE LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 214. CANADA MACHINE LEARNING MARKET SIZE, BY DEEP LEARNING FRAMEWORKS, 2018-2030 (USD MILLION)
TABLE 215. CANADA MACHINE LEARNING MARKET SIZE, BY MACHINE LEARNING PLATFORMS, 2018-2030 (USD MILLION)
TABLE 216. CANADA MACHINE LEARNING MARKET SIZE, BY PREDICTIVE ANALYTICS SOFTWARE, 2018-2030 (USD MILLION)
TABLE 217. CANADA MACHINE LEARNING MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
TABLE 218. CANADA MACHINE LEARNING MARKET SIZE, BY CLOUD, 2018-2030 (USD MILLION)
TABLE 219. CANADA MACHINE LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 220. CANADA MACHINE LEARNING MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
TABLE 221. CANADA MACHINE LEARNING MARKET SIZE, BY FRAUD DETECTION, 2018-2030 (USD MILLION)
TABLE 222. CANADA MACHINE LEARNING MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
TABLE 223. CANADA MACHINE LEARNING MARKET SIZE, BY PREDICTIVE ANALYTICS, 2018-2030 (USD MILLION)
TABLE 224. CANADA MACHINE LEARNING MARKET SIZE, BY RECOMMENDATION SYSTEMS, 2018-2030 (USD MILLION)
TABLE 225. CANADA MACHINE LEARNING MARKET SIZE, BY SPEECH RECOGNITION, 2018-2030 (USD MILLION)
TABLE 226. CANADA MACHINE LEARNING MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
TABLE 227. CANADA MACHINE LEARNING MARKET SIZE, BY BFSI, 2018-2030 (USD MILLION)
TABLE 228. CANADA MACHINE LEARNING MARKET SIZE, BY ENERGY & UTILITIES, 2018-2030 (USD MILLION)
TABLE 229. CANADA MACHINE LEARNING MARKET SIZE, BY GOVERNMENT & PUBLIC SECTOR, 2018-2030 (USD MILLION)
TABLE 230. CANADA MACHINE LEARNING MARKET SIZE, BY HEALTHCARE, 2018-2030 (USD MILLION)
TABLE 231. CANADA MACHINE LEARNING MARKET SIZE, BY IT & TELECOM, 2018-2030 (USD MILLION)
TABLE 232. CANADA MACHINE LEARNING MARKET SIZE, BY MANUFACTURING, 2018-2030 (USD MILLION)
TABLE 233. CANADA MACHINE LEARNING MARKET SIZE, BY RETAIL, 2018-2030 (USD MILLION)
TABLE 234. CANADA MACHINE LEARNING MARKET SIZE, BY TRANSPORTATION & LOGISTICS, 2018-2030 (USD MILLION)
TABLE 235. MEXICO MACHINE LEARNING MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
TABLE 236. MEXICO MACHINE LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 237. MEXICO MACHINE LEARNING MARKET SIZE, BY ASIC SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 238. MEXICO MACHINE LEARNING MARKET SIZE, BY CPU SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 239. MEXICO MACHINE LEARNING MARKET SIZE, BY EDGE DEVICES, 2018-2030 (USD MILLION)
TABLE 240. MEXICO MACHINE LEARNING MARKET SIZE, BY GPU SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 241. MEXICO MACHINE LEARNING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 242. MEXICO MACHINE LEARNING MARKET SIZE, BY CONSULTING SERVICES, 2018-2030 (USD MILLION)
TABLE 243. MEXICO MACHINE LEARNING MARKET SIZE, BY MANAGED SERVICES, 2018-2030 (USD MILLION)
TABLE 244. MEXICO MACHINE LEARNING MARKET SIZE, BY PROFESSIONAL SERVICES, 2018-2030 (USD MILLION)
TABLE 245. MEXICO MACHINE LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 246. MEXICO MACHINE LEARNING MARKET SIZE, BY DEEP LEARNING FRAMEWORKS, 2018-2030 (USD MILLION)
TABLE 247. MEXICO MACHINE LEARNING MARKET SIZE, BY MACHINE LEARNING PLATFORMS, 2018-2030 (USD MILLION)
TABLE 248. MEXICO MACHINE LEARNING MARKET SIZE, BY PREDICTIVE ANALYTICS SOFTWARE, 2018-2030 (USD MILLION)
TABLE 249. MEXICO MACHINE LEARNING MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
TABLE 250. MEXICO MACHINE LEARNING MARKET SIZE, BY CLOUD, 2018-2030 (USD MILLION)
TABLE 251. MEXICO MACHINE LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 252. MEXICO MACHINE LEARNING MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
TABLE 253. MEXICO MACHINE LEARNING MARKET SIZE, BY FRAUD DETECTION, 2018-2030 (USD MILLION)
TABLE 254. MEXICO MACHINE LEARNING MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
TABLE 255. MEXICO MACHINE LEARNING MARKET SIZE, BY PREDICTIVE ANALYTICS, 2018-2030 (USD MILLION)
TABLE 256. MEXICO MACHINE LEARNING MARKET SIZE, BY RECOMMENDATION SYSTEMS, 2018-2030 (USD MILLION)
TABLE 257. MEXICO MACHINE LEARNING MARKET SIZE, BY SPEECH RECOGNITION, 2018-2030 (USD MILLION)
TABLE 258. MEXICO MACHINE LEARNING MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
TABLE 259. MEXICO MACHINE LEARNING MARKET SIZE, BY BFSI, 2018-2030 (USD MILLION)
TABLE 260. MEXICO MACHINE LEARNING MARKET SIZE, BY ENERGY & UTILITIES, 2018-2030 (USD MILLION)
TABLE 261. MEXICO MACHINE LEARNING MARKET SIZE, BY GOVERNMENT & PUBLIC SECTOR, 2018-2030 (USD MILLION)
TABLE 262. MEXICO MACHINE LEARNING MARKET SIZE, BY HEALTHCARE, 2018-2030 (USD MILLION)
TABLE 263. MEXICO MACHINE LEARNING MARKET SIZE, BY IT & TELECOM, 2018-2030 (USD MILLION)
TABLE 264. MEXICO MACHINE LEARNING MARKET SIZE, BY MANUFACTURING, 2018-2030 (USD MILLION)
TABLE 265. MEXICO MACHINE LEARNING MARKET SIZE, BY RETAIL, 2018-2030 (USD MILLION)
TABLE 266. MEXICO MACHINE LEARNING MARKET SIZE, BY TRANSPORTATION & LOGISTICS, 2018-2030 (USD MILLION)
TABLE 267. BRAZIL MACHINE LEARNING MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
TABLE 268. BRAZIL MACHINE LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 269. BRAZIL MACHINE LEARNING MARKET SIZE, BY ASIC SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 270. BRAZIL MACHINE LEARNING MARKET SIZE, BY CPU SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 271. BRAZIL MACHINE LEARNING MARKET SIZE, BY EDGE DEVICES, 2018-2030 (USD MILLION)
TABLE 272. BRAZIL MACHINE LEARNING MARKET SIZE, BY GPU SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 273. BRAZIL MACHINE LEARNING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 274. BRAZIL MACHINE LEARNING MARKET SIZE, BY CONSULTING SERVICES, 2018-2030 (USD MILLION)
TABLE 275. BRAZIL MACHINE LEARNING MARKET SIZE, BY MANAGED SERVICES, 2018-2030 (USD MILLION)
TABLE 276. BRAZIL MACHINE LEARNING MARKET SIZE, BY PROFESSIONAL SERVICES, 2018-2030 (USD MILLION)
TABLE 277. BRAZIL MACHINE LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 278. BRAZIL MACHINE LEARNING MARKET SIZE, BY DEEP LEARNING FRAMEWORKS, 2018-2030 (USD MILLION)
TABLE 279. BRAZIL MACHINE LEARNING MARKET SIZE, BY MACHINE LEARNING PLATFORMS, 2018-2030 (USD MILLION)
TABLE 280. BRAZIL MACHINE LEARNING MARKET SIZE, BY PREDICTIVE ANALYTICS SOFTWARE, 2018-2030 (USD MILLION)
TABLE 281. BRAZIL MACHINE LEARNING MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
TABLE 282. BRAZIL MACHINE LEARNING MARKET SIZE, BY CLOUD, 2018-2030 (USD MILLION)
TABLE 283. BRAZIL MACHINE LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 284. BRAZIL MACHINE LEARNING MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
TABLE 285. BRAZIL MACHINE LEARNING MARKET SIZE, BY FRAUD DETECTION, 2018-2030 (USD MILLION)
TABLE 286. BRAZIL MACHINE LEARNING MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
TABLE 287. BRAZIL MACHINE LEARNING MARKET SIZE, BY PREDICTIVE ANALYTICS, 2018-2030 (USD MILLION)
TABLE 288. BRAZIL MACHINE LEARNING MARKET SIZE, BY RECOMMENDATION SYSTEMS, 2018-2030 (USD MILLION)
TABLE 289. BRAZIL MACHINE LEARNING MARKET SIZE, BY SPEECH RECOGNITION, 2018-2030 (USD MILLION)
TABLE 290. BRAZIL MACHINE LEARNING MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
TABLE 291. BRAZIL MACHINE LEARNING MARKET SIZE, BY BFSI, 2018-2030 (USD MILLION)
TABLE 292. BRAZIL MACHINE LEARNING MARKET SIZE, BY ENERGY & UTILITIES, 2018-2030 (USD MILLION)
TABLE 293. BRAZIL MACHINE LEARNING MARKET SIZE, BY GOVERNMENT & PUBLIC SECTOR, 2018-2030 (USD MILLION)
TABLE 294. BRAZIL MACHINE LEARNING MARKET SIZE, BY HEALTHCARE, 2018-2030 (USD MILLION)
TABLE 295. BRAZIL MACHINE LEARNING MARKET SIZE, BY IT & TELECOM, 2018-2030 (USD MILLION)
TABLE 296. BRAZIL MACHINE LEARNING MARKET SIZE, BY MANUFACTURING, 2018-2030 (USD MILLION)
TABLE 297. BRAZIL MACHINE LEARNING MARKET SIZE, BY RETAIL, 2018-2030 (USD MILLION)
TABLE 298. BRAZIL MACHINE LEARNING MARKET SIZE, BY TRANSPORTATION & LOGISTICS, 2018-2030 (USD MILLION)
TABLE 299. ARGENTINA MACHINE LEARNING MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
TABLE 300. ARGENTINA MACHINE LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 301. ARGENTINA MACHINE LEARNING MARKET SIZE, BY ASIC SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 302. ARGENTINA MACHINE LEARNING MARKET SIZE, BY CPU SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 303. ARGENTINA MACHINE LEARNING MARKET SIZE, BY EDGE DEVICES, 2018-2030 (USD MILLION)
TABLE 304. ARGENTINA MACHINE LEARNING MARKET SIZE, BY GPU SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 305. ARGENTINA MACHINE LEARNING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 306. ARGENTINA MACHINE LEARNING MARKET SIZE, BY CONSULTING SERVICES, 2018-2030 (USD MILLION)
TABLE 307. ARGENTINA MACHINE LEARNING MARKET SIZE, BY MANAGED SERVICES, 2018-2030 (USD MILLION)
TABLE 308. ARGENTINA MACHINE LEARNING MARKET SIZE, BY PROFESSIONAL SERVICES, 2018-2030 (USD MILLION)
TABLE 309. ARGENTINA MACHINE LEARNING MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 310. ARGENTINA MACHINE LEARNING MARKET SIZE, BY DEEP LEARNING FRAMEWORKS, 2018-2030 (USD MILLION)
TABLE 311. ARGENTINA MACHINE LEARNING MARKET SIZE, BY MACHINE LEARNING PLATFORMS, 2018-2030 (USD MILLION)
TABLE 312. ARGENTINA MACHINE LEARNING MARKET SIZE, BY PREDICTIVE ANALYTICS SOFTWARE, 2018-2030 (USD MILLION)
TABLE 313. ARGENTINA MACHINE LEARNING MARKET SIZE, BY DEPLOYMENT MODE, 2018-2030 (USD MILLION)
TABLE 314. ARGENTINA MACHINE LEARNING MARKET SIZE, BY CLOUD, 2018-2030 (USD MILLION)
TABLE 315. ARGENTINA MACHINE LEARNING MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 316. ARGENTINA MACHINE LEARNING MARKET SIZE, BY COMPUTER VISION, 2018-2030 (USD MILLION)
TABLE 317. ARGENTINA MACHINE LEARNING MARKET SIZE, BY FRAUD DETECTION, 2018-2030 (USD MILLION)
TABLE 318. ARGENTINA MACHINE LEARNING MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2030 (USD MILLION)
TABLE 319. ARGENTINA MACHINE LEARNING MARKET SIZE, BY PREDICTIVE ANALYTICS, 2018-2030 (USD MILLION)
TABLE 320. ARGENTINA MACHINE LEARNING MARKET SIZE, BY RECOMMENDATION SYSTEMS, 2018-2030 (USD MILLION)
TABLE 321. ARGENTINA MACHINE LEARNING MARKET SIZE, BY SPEECH RECOGNITION, 2018-2030 (USD MILLION)
TABLE 322. ARGENTINA MACHINE LEARNING MARKET SIZE, BY END USER INDUSTRY, 2018-2030 (USD MILLION)
TABLE 323. ARGENTINA MACHINE LEARNING MARKET SIZE, BY BFSI, 2018-2030 (USD MILLION)
TABLE 324. ARGENTINA MACHINE LEARNING MARKET SIZE, BY ENERGY & UTILITIES, 2018-2030 (USD MILLION)
TABLE 325. ARGENTINA MACHINE LEARNING MARKET SIZE, BY GOVERNMENT & PUBLIC SECTOR, 2018-2030 (USD MILLION)
TABLE 326. ARGENTINA MACHINE LEARNING MARKET SIZE, BY HEALTHCARE, 2018-2030 (USD MILLION)
TABLE 327. ARGENTINA MACHINE LEARNING MARKET SIZE, BY IT & TELECOM, 2018-2030 (USD MILLION)
TABLE 328. ARGENTINA MACHINE LEARNING MARKET SIZE, BY MANUFACTURING, 2018-2030 (USD MILLION)
TABLE 329. ARGENTINA MACHINE LEARNING MARKET SIZE, BY RETAIL, 2018-2030 (USD MILLION)
TABLE 330. ARGENTINA MACHINE LEARNING MARKET SIZE, BY TRANSPORTATION & LOGISTICS, 2018-2030 (USD MILLION)
TABLE 331. EUROPE, MIDDLE EAST & AFRICA MACHINE LEARNING MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
TABLE 332. EUROPE, MIDDLE EAST & AFRICA MACHINE LEARNING MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 333. EUROPE, MIDDLE EAST & AFRICA MACHINE LEARNING MARKET SIZE, BY ASIC SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 334. EUROPE, MIDDLE EAST & AFRICA MACHINE LEARNING MARKET SIZE, BY CPU SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 335. EUROPE, MIDDLE EAST & AFRICA MACHINE LEARNING MARKET SIZE, BY EDGE DEVICES, 2018-2030 (USD MILLION)
TABLE 336. EUROPE, MIDDLE EAST & AFRICA MACHINE LEARNING MARKET SIZE, BY GPU SOLUTIONS, 2018-2030 (USD MILLION)
TABLE 337. EUROPE, MIDDLE EAST & AFRICA MACHINE LEARNING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 338. EUROPE, MIDDLE EAST & AFRICA MACHINE LEARNING MARKET SIZE, BY CONSULTING SERVICES, 2018-2030 (USD MILLION)
TABLE 339. EUROPE, MIDDLE EAST & AFRICA MACHINE LEARNING MARKET SIZE, BY MANAGED SERVICES, 2018-2030 (USD MILLIO

Companies Mentioned

The companies profiled in this Machine Learning market report include:
  • Amazon Web Services, Inc.
  • Microsoft Corporation
  • Google LLC
  • International Business Machines Corporation
  • Salesforce, Inc.
  • Oracle Corporation
  • SAP SE
  • SAS Institute Inc.
  • NVIDIA Corporation

Methodology

Methodology DOWNLOAD NOW

Table Information

Report AttributeDetails
No. of Pages199
PublishedMay 2025
Forecast Period2025 - 2030
Estimated Market Value ( USD ) in 2025 $ 25.06 Billion
Forecasted Market Value ( USD ) by 2030 $ 42.23 Billion
Compound Annual Growth Rate11.0%
Regions CoveredGlobal
No. of Companies Mentioned10

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About the Machine Learning Market

The Machine Learning market is a subset of the larger Data Mining market, which focuses on the development and application of algorithms and techniques to extract knowledge from data. Machine Learning is a subset of Data Mining that focuses on the development of algorithms and techniques that can learn from data and make predictions or decisions without being explicitly programmed. This technology is used in a variety of industries, such as healthcare, finance, and retail, to improve decision-making and automate processes. The Machine Learning market is growing rapidly, driven by the increasing availability of data and the need for more efficient and accurate decision-making. Companies in the market include Google, Microsoft, IBM, Amazon, and Apple, as well as smaller startups such as H2O.ai, DataRobot, and Databricks. Show Less Read more

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