+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)
Sale

Machine Learning Market by Offering (Hardware, Services, Software), Deployment Mode (Cloud, Hybrid, on Premise), Application, End User Industry - Global Forecast 2025-2030

  • PDF Icon

    Report

  • 188 Pages
  • August 2025
  • Region: Global
  • 360iResearch™
  • ID: 6016506
UP TO OFF until Dec 31st 2025
1h Free Analyst Time
1h Free Analyst Time

Speak directly to the analyst to clarify any post sales queries you may have.

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.

Unveiling the Transformative Power of Machine Learning to Drive Strategic Innovation and Operational Excellence Across Industries in 2025

Machine learning has emerged as a foundational technology driving transformative innovation across diverse industries. Organizations today are recognizing that harnessing the power of algorithms and data analytics not only enhances operational efficiency but also fosters the creation of new business models and revenue streams. As digital transformation accelerates, decision-makers are confronted with the challenge of integrating advanced machine learning capabilities into existing workflows while ensuring scalability, reliability, and ethical governance. This report sets out to illuminate the landscape of machine learning in 2025, offering clarity on how organizations can position themselves to thrive in an environment defined by rapid technological evolution.

In this introduction, the scope and objectives of the analysis are articulated with a focus on delivering actionable intelligence. By examining market drivers, ecosystem dynamics, and strategic imperatives, the report equips executives with the contextual knowledge needed to make informed decisions. The narrative unfolds against a backdrop of increased demand for real-time analytics, growing concerns around data privacy, and the imperative to balance automation with human oversight. Through this lens, the introduction establishes a foundation that informs subsequent sections, ensuring a coherent journey from understanding high-level trends to implementing targeted strategies.

Mapping the Major Paradigm Shifts and Emerging Trends That Are Redefining the Machine Learning Ecosystem and Accelerating Industry Disruption in 2025

Throughout 2025, several paradigm shifts are reshaping the machine learning landscape, compelling organizations to adapt swiftly or risk falling behind. First, democratization of machine learning tools has lowered barriers to entry, enabling cross-functional teams to develop and deploy models without deep data science expertise. Simultaneously, the proliferation of edge computing has redistributed processing capabilities closer to data sources, driving real-time insights while alleviating network bottlenecks. These developments underscore the imperative for an agile infrastructure that supports both centralized and distributed analytics.

Moreover, the emergence of automated machine learning and MLOps platforms is streamlining model lifecycle management, from data ingestion and model training to continuous monitoring and governance. This shift toward operationalization addresses long-standing challenges of model reproducibility and deployment latency. At the same time, heightened emphasis on explainable AI and ethical frameworks is guiding best practices in algorithmic transparency, fairness, and accountability. Together, these trends are not only redefining the technological underpinnings of machine learning but also elevating organizational expectations around trust and compliance.

Finally, the rapid advancement of domain-specific models and the integration of composite AI architectures are enabling specialized solutions across verticals, from healthcare diagnostics to financial risk modeling. By immersing in these transformative shifts, stakeholders can anticipate potential disruptions, align investments with emerging priorities, and unlock new sources of competitive differentiation.

Assessing the Far Reaching Consequences of US Tariffs on the Global Machine Learning Supply Chain Cost Structures and Strategic Positioning Through 2025

The imposition of tariffs by the United States in 2025 has introduced a significant variable into the global machine learning supply chain, affecting hardware procurement, manufacturing strategies, and cost frameworks. Semiconductors and specialized components such as GPUs, CPUs, and ASIC accelerators have become subject to increased import duties, prompting vendors and end users alike to reassess their sourcing strategies. This has led to a gradual realignment of supply chains, with some organizations exploring onshore manufacturing options or seeking alternative suppliers outside tariff jurisdictions to mitigate financial impact.

Furthermore, the tariff-driven cost escalation has amplified the total cost of ownership for on-premise and hybrid deployments, prompting accelerated migration to cloud-based infrastructure where service providers can absorb or offset certain duties at scale. As a result, cloud consumption models have gained renewed appeal, particularly for organizations seeking predictable expense structures and geographic redundancy. At the same time, edge deployments continue to play a vital role in latency-sensitive use cases, necessitating creative approaches to hardware amortization and lifecycle management.

In response, strategic partnerships between hardware vendors, cloud service providers, and system integrators have intensified, focusing on co-innovation to drive down costs through joint engineering and volume commitments. By understanding these dynamics, industry participants can develop nuanced procurement strategies and invest in resilient architectures that balance performance, cost, and compliance imperatives.

Unlocking Market Potential Through Segmentation Analysis of Offerings Deployment Modes Applications and End User Industries in the Machine Learning Domain

A nuanced segmentation of the machine learning market reveals differentiated growth drivers and adoption patterns across multiple dimensions. Within hardware solutions, the ecosystem spans ASIC innovations delivered through FPGAs and TPUs, CPU architectures differentiated by ARM designs and x86 platforms, edge devices incorporating specialized AI accelerators and gateways, as well as GPU offerings from key suppliers such as AMD and NVIDIA. Beyond raw compute, professional and managed services play a pivotal role: consulting practices span implementation, integration, and strategic advisory, while infrastructure management and model oversight services ensure operational continuity. Custom development, deployment and integration services address specialized requirements, and training and support offerings bolster organizational capabilities.

On the software front, developers leverage a rich landscape of AI development tools alongside deep learning frameworks including MXNet, PyTorch, and TensorFlow. Machine learning platforms are evolving to incorporate automated model generation, MLOps orchestration, and real-time monitoring, while predictive analytics applications deliver anomaly detection, forecasting, and prescriptive decision support. In parallel, deployment flexibility spans fully managed cloud environments-from infrastructure and platform to software offerings-hybrid architectures that combine on-premise and cloud resources, and dedicated on-premise installations optimized for sensitive or latency-critical workloads.

Application segmentation underscores the diversity of use cases, ranging from computer vision capabilities such as facial, image, and video analysis to fraud detection solutions targeting identity, insurance, and transaction anomalies. Natural language processing fuels chatbots, sentiment insights, and text mining, while recommendation engines employ collaborative, content-based, and hybrid methodologies. Speech recognition advances drive both speech-to-text transcription and voice biometric authentication. Finally, end user industries from BFSI and energy to healthcare, manufacturing, retail, and transportation face unique imperatives that shape adoption curves and investment priorities.

Revealing Key Regional Trends and Opportunities Across the Americas Europe Middle East Africa and Asia Pacific Shaping Machine Learning Adoption Through 2025

Regional dynamics in the machine learning market illustrate how geographic factors influence technology adoption and ecosystem maturity. In the Americas, the United States maintains leadership through deep investments in AI research, robust venture capital funding, and a thriving startup ecosystem. Canada supplements this with strong government support for ethical AI development, while Latin American nations explore cost-effective cloud solutions and collaborative innovation models to address local challenges.

Across Europe, the Middle East, and Africa, regulatory frameworks and data sovereignty concerns shape deployment strategies, fostering hybrid models that balance centralized cloud deployments with on-premise infrastructure. Western European nations emphasize privacy-by-design and cross-border research collaborations, while emerging markets in the Middle East and Africa prioritize scalable AI solutions to address urbanization, energy management, and public services.

Asia Pacific stands out for its rapid commercialization of advanced machine learning applications, fueled by large populations, government mandates for digitalization, and significant investments in semiconductor manufacturing. China’s AI ecosystem benefits from national strategy alignment, whereas India’s talent pool and startup culture drive growth in cost-sensitive use cases. Japan, South Korea, and Southeast Asian economies focus on industrial automation, smart cities, and healthcare diagnostics, reflecting a strategic emphasis on both scale and innovation.

Showcasing Leading Companies Driving Innovation and Strategic Collaborations That Are Fueling Breakthroughs and Market Transformation in the Machine Learning Ecosystem

The competitive arena in machine learning is defined by a mix of hyperscale cloud platforms, specialized hardware providers, boutique software innovators, and global consulting powerhouses. Leading technology vendors are investing heavily in custom ASIC and GPU architectures to deliver unparalleled inference performance, while cloud providers continue to expand managed AI services that abstract infrastructure complexity. At the same time, a cadre of startups and mid-tier suppliers is emerging with industry-specific solutions, leveraging domain expertise to carve out niche positions.

Consulting and systems integration firms are forging alliances with hardware and software vendors to deliver end-to-end solutions, combining strategic advisory, implementation expertise, and managed operations. Established enterprises are increasingly open to co-development engagements, seeking to accelerate time to market through collaborative innovation. Academic and research institutions remain vital contributors, driving breakthroughs in algorithmic efficiency and ethical AI practices that inform vendor roadmaps and regulatory guidelines.

As these dynamics unfold, differentiation is achieved through speed of deployment, depth of vertical expertise, and the ability to orchestrate complex multi-vendor ecosystems. Companies that align product roadmaps with emerging use cases, cultivate robust partner networks, and invest in open standards for interoperability are best positioned to sustain growth and leadership.

Empowering Industry Leaders with Strategic Recommendations to Leverage Machine Learning Innovations for Operational Efficiency Competitive Edge and Sustainable Growth

Industry leaders should prioritize the establishment of scalable MLOps frameworks that facilitate continuous integration and delivery of models across diverse environments. Investing in edge AI platforms can unlock new applications by reducing inference latency and preserving bandwidth, while cloud-native solutions ensure elastic compute capacity to accommodate variable workloads. By adopting explainable AI toolkits and embedding ethical guardrails at every stage of model development, organizations can strengthen stakeholder trust and preempt compliance risks.

Strategic partnerships with hardware vendors and managed service providers can accelerate innovation by co-optimizing algorithms and system architectures. Leaders should also cultivate internal talent through targeted training programs and cross-functional collaborations, ensuring that data scientists, engineers, and business stakeholders share common objectives. Establishing governance structures that balance agility with risk management will prove essential as models move from pilot phases to mission-critical operations.

Finally, organizations are encouraged to pursue pilot projects in high-visibility use cases that deliver measurable business outcomes, such as predictive maintenance, personalized experiences, or dynamic pricing. By demonstrating clear ROI and fostering a culture of experimentation, executives can secure broader support for machine learning initiatives and drive sustainable transformation.

Detailing Rigorous Research Methodology Integrating Primary Interviews Secondary Data Analysis and Advanced Analytical Techniques to Ensure Robust Insights

This analysis was underpinned by a meticulous research methodology that blended qualitative insights from primary interviews with quantitative rigor derived from secondary data sources. Expert dialogues with technology executives, system integrators, and end user stakeholders provided a nuanced understanding of adoption challenges, investment priorities, and emerging best practices. These conversations were complemented by an exhaustive review of company disclosures, whitepapers, and industry publications to validate market dynamics and narrow emerging trends.

Data triangulation was employed to reconcile divergent viewpoints and ensure the robustness of key findings. Market segmentation was mapped across offerings, deployment modes, applications, and end user industries, enabling a structured analysis of growth drivers and competitive pressures. Regional patterns were explored through localized case studies, emphasizing regulatory impacts and infrastructural constraints. Advanced analytical techniques, including scenario analysis and sensitivity testing, were applied to assess the potential ramifications of external variables such as tariff regimes and technological breakthroughs.

Throughout the research process, quality control measures-such as peer review and cross-functional validation-ensured consistency and reliability. By integrating diverse data inputs and methodological approaches, this report delivers a comprehensive and actionable perspective on the machine learning market trajectory.

Synthesizing Key Findings and Strategic Imperatives to Navigate the Evolving Machine Learning Landscape and Capitalize on Emerging Opportunities

In synthesizing the insights presented, it becomes clear that machine learning is transitioning from experimental deployments to mission-critical enablers of strategic differentiation. Market participants must navigate a complex interplay of technological innovations, regulatory shifts, and supply chain disruptions while harnessing the potential of advanced analytics to drive business outcomes. The interplay between edge computing and cloud services, the imperative for transparent and ethical AI practices, and the regional nuances in adoption all underscore the importance of a tailored strategic approach.

Organizations that build flexible, scalable architectures, foster cross-disciplinary collaboration, and engage in targeted pilot initiatives will be best placed to capture value. Strategic partnerships-both with technology vendors and domain-focused providers-will accelerate time to market and enhance solution depth. Moreover, embedding governance frameworks that balance innovation velocity with risk mitigation will be essential as machine learning permeates core operations.

Looking ahead, the convergence of emerging paradigms-such as domain-specific models, composite AI architectures, and responsible automation-will define competitive landscapes. By internalizing these strategic imperatives and applying the recommendations herein, decision-makers can position their organizations to thrive amidst continuous disruption and opportunity.

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 delves into recent significant developments and analyzes 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

 

Additional Product Information:

  • Purchase of this report includes 1 year online access with quarterly updates.
  • This report can be updated on request. Please contact our Customer Experience team using the Ask a Question widget on our website.

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
5.1. Integration of open-source multimodal foundation models for real-time customer support across digital channels
5.2. Deployment of automated machine learning pipelines with continuous model monitoring and bias mitigation frameworks
5.3. Utilization of deep reinforcement learning for dynamic pricing and inventory optimization in e-commerce platforms
5.4. Implementation of privacy-preserving federated learning architectures across distributed healthcare data networks
5.5. Adoption of synthetic data generation using generative adversarial networks to augment scarce labeled datasets
5.6. Leveraging transformer-based anomaly detection models for proactive fraud prevention in financial transactions
5.7. Application of explainable AI frameworks to satisfy regulatory transparency requirements in credit risk modeling
5.8. Emergence of energy-efficient edge AI inference chips for on-device processing in autonomous vehicles and drones
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 RESEARCH PROCESS
FIGURE 2. GLOBAL MACHINE LEARNING MARKET SIZE, 2018-2030 (USD MILLION)
FIGURE 3. GLOBAL MACHINE LEARNING MARKET SIZE, BY REGION, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 4. GLOBAL MACHINE LEARNING MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 5. GLOBAL MACHINE LEARNING MARKET SIZE, BY OFFERING, 2024 VS 2030 (%)
FIGURE 6. GLOBAL MACHINE LEARNING MARKET SIZE, BY OFFERING, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 7. GLOBAL MACHINE LEARNING MARKET SIZE, BY DEPLOYMENT MODE, 2024 VS 2030 (%)
FIGURE 8. GLOBAL MACHINE LEARNING MARKET SIZE, BY DEPLOYMENT MODE, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 9. GLOBAL MACHINE LEARNING MARKET SIZE, BY APPLICATION, 2024 VS 2030 (%)
FIGURE 10. GLOBAL MACHINE LEARNING MARKET SIZE, BY APPLICATION, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 11. GLOBAL MACHINE LEARNING MARKET SIZE, BY END USER INDUSTRY, 2024 VS 2030 (%)
FIGURE 12. GLOBAL MACHINE LEARNING MARKET SIZE, BY END USER INDUSTRY, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 13. AMERICAS MACHINE LEARNING MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
FIGURE 14. AMERICAS MACHINE LEARNING MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 15. UNITED STATES MACHINE LEARNING MARKET SIZE, BY STATE, 2024 VS 2030 (%)
FIGURE 16. UNITED STATES MACHINE LEARNING MARKET SIZE, BY STATE, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 17. EUROPE, MIDDLE EAST & AFRICA MACHINE LEARNING MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
FIGURE 18. EUROPE, MIDDLE EAST & AFRICA MACHINE LEARNING MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 19. ASIA-PACIFIC MACHINE LEARNING MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
FIGURE 20. ASIA-PACIFIC MACHINE LEARNING MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 21. MACHINE LEARNING MARKET SHARE, BY KEY PLAYER, 2024
FIGURE 22. MACHINE LEARNING MARKET, FPNV POSITIONING MATRIX, 2024
FIGURE 23. MACHINE LEARNING MARKET: RESEARCHAI
FIGURE 24. MACHINE LEARNING MARKET: RESEARCHSTATISTICS
FIGURE 25. MACHINE LEARNING MARKET: RESEARCHCONTACTS
FIGURE 26. MACHINE LEARNING MARKET: RESEARCHARTICLES
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, 2018-2024 (USD MILLION)
TABLE 4. GLOBAL MACHINE LEARNING MARKET SIZE, 2025-2030 (USD MILLION)
TABLE 5. GLOBAL MACHINE LEARNING MARKET SIZE, BY REGION, 2018-2024 (USD MILLION)
TABLE 6. GLOBAL MACHINE LEARNING MARKET SIZE, BY REGION, 2025-2030 (USD MILLION)
TABLE 7. GLOBAL MACHINE LEARNING MARKET SIZE, BY COUNTRY, 2018-2024 (USD MILLION)
TABLE 8. GLOBAL MACHINE LEARNING MARKET SIZE, BY COUNTRY, 2025-2030 (USD MILLION)
TABLE 9. GLOBAL MACHINE LEARNING MARKET SIZE, BY OFFERING, 2018-2024 (USD MILLION)
TABLE 10. GLOBAL MACHINE LEARNING MARKET SIZE, BY OFFERING, 2025-2030 (USD MILLION)
TABLE 11. GLOBAL MACHINE LEARNING MARKET SIZE, BY HARDWARE, BY REGION, 2018-2024 (USD MILLION)
TABLE 12. GLOBAL MACHINE LEARNING MARKET SIZE, BY HARDWARE, BY REGION, 2025-2030 (USD MILLION)
TABLE 13. GLOBAL MACHINE LEARNING MARKET SIZE, BY ASIC SOLUTIONS, BY REGION, 2018-2024 (USD MILLION)
TABLE 14. GLOBAL MACHINE LEARNING MARKET SIZE, BY ASIC SOLUTIONS, BY REGION, 2025-2030 (USD MILLION)
TABLE 15. GLOBAL MACHINE LEARNING MARKET SIZE, BY FPGAS, BY REGION, 2018-2024 (USD MILLION)
TABLE 16. GLOBAL MACHINE LEARNING MARKET SIZE, BY FPGAS, BY REGION, 2025-2030 (USD MILLION)
TABLE 17. GLOBAL MACHINE LEARNING MARKET SIZE, BY TPUS, BY REGION, 2018-2024 (USD MILLION)
TABLE 18. GLOBAL MACHINE LEARNING MARKET SIZE, BY TPUS, BY REGION, 2025-2030 (USD MILLION)
TABLE 19. GLOBAL MACHINE LEARNING MARKET SIZE, BY ASIC SOLUTIONS, 2018-2024 (USD MILLION)
TABLE 20. GLOBAL MACHINE LEARNING MARKET SIZE, BY ASIC SOLUTIONS, 2025-2030 (USD MILLION)
TABLE 21. GLOBAL MACHINE LEARNING MARKET SIZE, BY CPU SOLUTIONS, BY REGION, 2018-2024 (USD MILLION)
TABLE 22. GLOBAL MACHINE LEARNING MARKET SIZE, BY CPU SOLUTIONS, BY REGION, 2025-2030 (USD MILLION)
TABLE 23. GLOBAL MACHINE LEARNING MARKET SIZE, BY ARM CPUS, BY REGION, 2018-2024 (USD MILLION)
TABLE 24. GLOBAL MACHINE LEARNING MARKET SIZE, BY ARM CPUS, BY REGION, 2025-2030 (USD MILLION)
TABLE 25. GLOBAL MACHINE LEARNING MARKET SIZE, BY X86 CPUS, BY REGION, 2018-2024 (USD MILLION)
TABLE 26. GLOBAL MACHINE LEARNING MARKET SIZE, BY X86 CPUS, BY REGION, 2025-2030 (USD MILLION)
TABLE 27. GLOBAL MACHINE LEARNING MARKET SIZE, BY CPU SOLUTIONS, 2018-2024 (USD MILLION)
TABLE 28. GLOBAL MACHINE LEARNING MARKET SIZE, BY CPU SOLUTIONS, 2025-2030 (USD MILLION)
TABLE 29. GLOBAL MACHINE LEARNING MARKET SIZE, BY EDGE DEVICES, BY REGION, 2018-2024 (USD MILLION)
TABLE 30. GLOBAL MACHINE LEARNING MARKET SIZE, BY EDGE DEVICES, BY REGION, 2025-2030 (USD MILLION)
TABLE 31. GLOBAL MACHINE LEARNING MARKET SIZE, BY EDGE AI ACCELERATORS, BY REGION, 2018-2024 (USD MILLION)
TABLE 32. GLOBAL MACHINE LEARNING MARKET SIZE, BY EDGE AI ACCELERATORS, BY REGION, 2025-2030 (USD MILLION)
TABLE 33. GLOBAL MACHINE LEARNING MARKET SIZE, BY EDGE GATEWAYS, BY REGION, 2018-2024 (USD MILLION)
TABLE 34. GLOBAL MACHINE LEARNING MARKET SIZE, BY EDGE GATEWAYS, BY REGION, 2025-2030 (USD MILLION)
TABLE 35. GLOBAL MACHINE LEARNING MARKET SIZE, BY EDGE DEVICES, 2018-2024 (USD MILLION)
TABLE 36. GLOBAL MACHINE LEARNING MARKET SIZE, BY EDGE DEVICES, 2025-2030 (USD MILLION)
TABLE 37. GLOBAL MACHINE LEARNING MARKET SIZE, BY GPU SOLUTIONS, BY REGION, 2018-2024 (USD MILLION)
TABLE 38. GLOBAL MACHINE LEARNING MARKET SIZE, BY GPU SOLUTIONS, BY REGION, 2025-2030 (USD MILLION)
TABLE 39. GLOBAL MACHINE LEARNING MARKET SIZE, BY AMD GPUS, BY REGION, 2018-2024 (USD MILLION)
TABLE 40. GLOBAL MACHINE LEARNING MARKET SIZE, BY AMD GPUS, BY REGION, 2025-2030 (USD MILLION)
TABLE 41. GLOBAL MACHINE LEARNING MARKET SIZE, BY NVIDIA GPUS, BY REGION, 2018-2024 (USD MILLION)
TABLE 42. GLOBAL MACHINE LEARNING MARKET SIZE, BY NVIDIA GPUS, BY REGION, 2025-2030 (USD MILLION)
TABLE 43. GLOBAL MACHINE LEARNING MARKET SIZE, BY GPU SOLUTIONS, 2018-2024 (USD MILLION)
TABLE 44. GLOBAL MACHINE LEARNING MARKET SIZE, BY GPU SOLUTIONS, 2025-2030 (USD MILLION)
TABLE 45. GLOBAL MACHINE LEARNING MARKET SIZE, BY HARDWARE, 2018-2024 (USD MILLION)
TABLE 46. GLOBAL MACHINE LEARNING MARKET SIZE, BY HARDWARE, 2025-2030 (USD MILLION)
TABLE 47. GLOBAL MACHINE LEARNING MARKET SIZE, BY SERVICES, BY REGION, 2018-2024 (USD MILLION)
TABLE 48. GLOBAL MACHINE LEARNING MARKET SIZE, BY SERVICES, BY REGION, 2025-2030 (USD MILLION)
TABLE 49. GLOBAL MACHINE LEARNING MARKET SIZE, BY CONSULTING SERVICES, BY REGION, 2018-2024 (USD MILLION)
TABLE 50. GLOBAL MACHINE LEARNING MARKET SIZE, BY CONSULTING SERVICES, BY REGION, 2025-2030 (USD MILLION)
TABLE 51. GLOBAL MACHINE LEARNING MARKET SIZE, BY IMPLEMENTATION CONSULTING, BY REGION, 2018-2024 (USD MILLION)
TABLE 52. GLOBAL MACHINE LEARNING MARKET SIZE, BY IMPLEMENTATION CONSULTING, BY REGION, 2025-2030 (USD MILLION)
TABLE 53. GLOBAL MACHINE LEARNING MARKET SIZE, BY INTEGRATION CONSULTING, BY REGION, 2018-2024 (USD MILLION)
TABLE 54. GLOBAL MACHINE LEARNING MARKET SIZE, BY INTEGRATION CONSULTING, BY REGION, 2025-2030 (USD MILLION)
TABLE 55. GLOBAL MACHINE LEARNING MARKET SIZE, BY STRATEGY CONSULTING, BY REGION, 2018-2024 (USD MILLION)
TABLE 56. GLOBAL MACHINE LEARNING MARKET SIZE, BY STRATEGY CONSULTING, BY REGION, 2025-2030 (USD MILLION)
TABLE 57. GLOBAL MACHINE LEARNING MARKET SIZE, BY CONSULTING SERVICES, 2018-2024 (USD MILLION)
TABLE 58. GLOBAL MACHINE LEARNING MARKET SIZE, BY CONSULTING SERVICES, 2025-2030 (USD MILLION)
TABLE 59. GLOBAL MACHINE LEARNING MARKET SIZE, BY MANAGED SERVICES, BY REGION, 2018-2024 (USD MILLION)
TABLE 60. GLOBAL MACHINE LEARNING MARKET SIZE, BY MANAGED SERVICES, BY REGION, 2025-2030 (USD MILLION)
TABLE 61. GLOBAL MACHINE LEARNING MARKET SIZE, BY INFRASTRUCTURE MANAGEMENT, BY REGION, 2018-2024 (USD MILLION)
TABLE 62. GLOBAL MACHINE LEARNING MARKET SIZE, BY INFRASTRUCTURE MANAGEMENT, BY REGION, 2025-2030 (USD MILLION)
TABLE 63. GLOBAL MACHINE LEARNING MARKET SIZE, BY ML MODEL MANAGEMENT, BY REGION, 2018-2024 (USD MILLION)
TABLE 64. GLOBAL MACHINE LEARNING MARKET SIZE, BY ML MODEL MANAGEMENT, BY REGION, 2025-2030 (USD MILLION)
TABLE 65. GLOBAL MACHINE LEARNING MARKET SIZE, BY MANAGED SERVICES, 2018-2024 (USD MILLION)
TABLE 66. GLOBAL MACHINE LEARNING MARKET SIZE, BY MANAGED SERVICES, 2025-2030 (USD MILLION)
TABLE 67. GLOBAL MACHINE LEARNING MARKET SIZE, BY PROFESSIONAL SERVICES, BY REGION, 2018-2024 (USD MILLION)
TABLE 68. GLOBAL MACHINE LEARNING MARKET SIZE, BY PROFESSIONAL SERVICES, BY REGION, 2025-2030 (USD MILLION)
TABLE 69. GLOBAL MACHINE LEARNING MARKET SIZE, BY CUSTOM DEVELOPMENT, BY REGION, 2018-2024 (USD MILLION)
TABLE 70. GLOBAL MACHINE LEARNING MARKET SIZE, BY CUSTOM DEVELOPMENT, BY REGION, 2025-2030 (USD MILLION)
TABLE 71. GLOBAL MACHINE LEARNING MARKET SIZE, BY DEPLOYMENT & INTEGRATION, BY REGION, 2018-2024 (USD MILLION)
TABLE 72. GLOBAL MACHINE LEARNING MARKET SIZE, BY DEPLOYMENT & INTEGRATION, BY REGION, 2025-2030 (USD MILLION)
TABLE 73. GLOBAL MACHINE LEARNING MARKET SIZE, BY PROFESSIONAL SERVICES, 2018-2024 (USD MILLION)
TABLE 74. GLOBAL MACHINE LEARNING MARKET SIZE, BY PROFESSIONAL SERVICES, 2025-2030 (USD MILLION)
TABLE 75. GLOBAL MACHINE LEARNING MARKET SIZE, BY TRAINING & SUPPORT SERVICES, BY REGION, 2018-2024 (USD MILLION)
TABLE 76. GLOBAL MACHINE LEARNING MARKET SIZE, BY TRAINING & SUPPORT SERVICES, BY REGION, 2025-2030 (USD MILLION)
TABLE 77. GLOBAL MACHINE LEARNING MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
TABLE 78. GLOBAL MACHINE LEARNING MARKET SIZE, BY SERVICES, 2025-2030 (USD MILLION)
TABLE 79. GLOBAL MACHINE LEARNING MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2024 (USD MILLION)
TABLE 80. GLOBAL MACHINE LEARNING MARKET SIZE, BY SOFTWARE, BY REGION, 2025-2030 (USD MILLION)
TABLE 81. GLOBAL MACHINE LEARNING MARKET SIZE, BY AI DEVELOPMENT TOOLS, BY REGION, 2018-2024 (USD MILLION)
TABLE 82. GLOBAL MACHINE LEARNING MARKET SIZE, BY AI DEVELOPMENT TOOLS, BY REGION, 2025-2030 (USD MILLION)
TABLE 83. GLOBAL MACHINE LEARNING MARKET SIZE, BY DEEP LEARNING FRAMEWORKS, BY REGION, 2018-2024 (USD MILLION)
TABLE 84. GLOBAL MACHINE LEARNING MARKET SIZE, BY DEEP LEARNING FRAMEWORKS, BY REGION, 2025-2030 (USD MILLION)
TABLE 85. GLOBAL MACHINE LEARNING MARKET SIZE, BY MXNET, BY REGION, 2018-2024 (USD MILLION)
TABLE 86. GLOBAL MACHINE LEARNING MARKET SIZE, BY MXNET, BY REGION, 2025-2030 (USD MILLION)
TABLE 87. GLOBAL MACHINE LEARNING MARKET SIZE, BY PYTORCH, BY REGION, 2018-2024 (USD MILLION)
TABLE 88. GLOBAL MACHINE LEARNING MARKET SIZE, BY PYTORCH, BY REGION, 2025-2030 (USD MILLION)
TABLE 89. GLOBAL MACHINE LEARNING MARKET SIZE, BY TENSORFLOW, BY REGION, 2018-2024 (USD MILLION)
TABLE 90. GLOBAL MACHINE LEARNING MARKET SIZE, BY TENSORFLOW, BY REGION, 2025-2030 (USD MILLION)
TABLE 91. GLOBAL MACHINE LEARNING MARKET SIZE, BY DEEP LEARNING FRAMEWORKS, 2018-2024 (USD MILLION)
TABLE 92. GLOBAL MACHINE LEARNING MARKET SIZE, BY DEEP LEARNING FRAMEWORKS, 2025-2030 (USD MILLION)
TABLE 93. GLOBAL MACHINE LEARNING MARKET SIZE, BY MACHINE LEARNING PLATFORMS, BY REGION, 2018-2024 (USD MILLION)
TABLE 94. GLOBAL MACHINE LEARNING MARKET SIZE, BY MACHINE LEARNING PLATFORMS, BY REGION, 2025-2030 (USD MILLION)
TABLE 95. GLOBAL MACHINE LEARNING MARKET SIZE, BY AUTOMATED MACHINE LEARNING, BY REGION, 2018-2024 (USD MILLION)
TABLE 96. GLOBAL MACHINE LEARNING MARKET SIZE, BY AUTOMATED MACHINE LEARNING, BY REGION, 2025-2030 (USD MILLION)
TABLE 97. GLOBAL MACHINE LEARNING MARKET SIZE, BY MLOPS PLATFORMS, BY REGION, 2018-2024 (USD MILLION)
TABLE 98. GLOBAL MACHINE LEARNING MARKET SIZE, BY MLOPS PLATFORMS, BY REGION, 2025-2030 (USD MILLION)
TABLE 99. GLOBAL MACHINE LEARNING MARKET SIZE, BY MODEL MONITORING TOOLS, BY REGION, 2018-2024 (USD MILLION)
TABLE 100. GLOBAL MACHINE LEARNING MARKET SIZE, BY MODEL MONITORING TOOLS, BY REGION, 2025-2030 (USD MILLION)
TABLE 101. GLOBAL MACHINE LEARNING MARKET SIZE, BY MACHINE LEARNING PLATFORMS, 2018-2024 (USD MILLION)
TABLE 102. GLOBAL MACHINE LEARNING MARKET SIZE, BY MACHINE LEARNING PLATFORMS, 2025-2030 (USD MILLION)
TABLE 103. GLOBAL MACHINE LEARNING MARKET SIZE, BY PREDICTIVE ANALYTICS SOFTWARE, BY REGION, 2018-2024 (USD MILLION)
TABLE 104. GLOBAL MACHINE LEARNING MARKET SIZE, BY PREDICTIVE ANALYTICS SOFTWARE, BY REGION, 2025-2030 (USD MILLION)
TABLE 105. GLOBAL MACHINE LEARNING MARKET SIZE, BY ANOMALY DETECTION TOOLS, BY REGION, 2018-2024 (USD MILLION)
TABLE 106. GLOBAL MACHINE LEARNING MARKET SIZE, BY ANOMALY DETECTION TOOLS, BY REGION, 2025-2030 (USD MILLION)
TABLE 107. GLOBAL MACHINE LEARNING MARKET SIZE, BY FORECASTING APPLICATIONS, BY REGION, 2018-2024 (USD MILLION)
TABLE 108. GLOBAL MACHINE LEARNING MARKET SIZE, BY FORECASTING APPLICATIONS, BY REGION, 2025-2030 (USD MILLION)
TABLE 109. GLOBAL MACHINE LEARNING MARKET SIZE, BY PRESCRIPTIVE ANALYTICS, BY REGION, 2018-2024 (USD MILLION)
TABLE 110. GLOBAL MACHINE LEARNING MARKET SIZE, BY PRESCRIPTIVE ANALYTICS, BY REGION, 2025-2030 (USD MILLION)
TABLE 111. GLOBAL MACHINE LEARNING MARKET SIZE, BY PREDICTIVE ANALYTICS SOFTWARE, 2018-2024 (USD MILLION)
TABLE 112. GLOBAL MACHINE LEARNING MARKET SIZE, BY PREDICTIVE ANALYTICS SOFTWARE, 2025-2030 (USD MILLION)
TABLE 113. GLOBAL MACHINE LEARNING MARKET SIZE, BY SOFTWARE, 2018-2024 (USD MILLION)
TABLE 114. GLOBAL MACHINE LEARNING MARKET SIZE, BY SOFTWARE, 2025-2030 (USD MILLION)
TABLE 115. GLOBAL MACHINE LEARNING MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
TABLE 116. GLOBAL MACHINE LEARNING MARKET SIZE, BY DEPLOYMENT MODE, 2025-2030 (USD MILLION)
TABLE 117. GLOBAL MACHINE LEARNING MARKET SIZE, BY CLOUD, BY REGION, 2018-2024 (USD MILLION)
TABLE 118. GLOBAL MACHINE LEARNING MARKET SIZE, BY CLOUD, BY REGION, 2025-2030 (USD MILLION)
TABLE 119. GLOBAL MACHINE LEARNING MARKET SIZE, BY IAAS, BY REGION, 2018-2024 (USD MILLION)
TABLE 120. GLOBAL MACHINE LEARNING MARKET SIZE, BY IAAS, BY REGION, 2025-2030 (USD MILLION)
TABLE 121. GLOBAL MACHINE LEARNING MARKET SIZE, BY PAAS, BY REGION, 2018-2024 (USD MILLION)
TABLE 122. GLOBAL MACHINE LEARNING MARKET SIZE, BY PAAS, BY REGION, 2025-2030 (USD MILLION)
TABLE 123. GLOBAL MACHINE LEARNING MARKET SIZE, BY SAAS, BY REGION, 2018-2024 (USD MILLION)
TABLE 124. GLOBAL MACHINE LEARNING MARKET SIZE, BY SAAS, BY REGION, 2025-2030 (USD MILLION)
TABLE 125. GLOBAL MACHINE LEARNING MARKET SIZE, BY CLOUD, 2018-2024 (USD MILLION)
TABLE 126. GLOBAL MACHINE LEARNING MARKET SIZE, BY CLOUD, 2025-2030 (USD MILLION)
TABLE 127. GLOBAL MACHINE LEARNING MARKET SIZE, BY HYBRID, BY REGION, 2018-2024 (USD MILLION)
TABLE 128. GLOBAL MACHINE LEARNING MARKET SIZE, BY HYBRID, BY REGION, 2025-2030 (USD MILLION)
TABLE 129. GLOBAL MACHINE LEARNING MARKET SIZE, BY ON PREMISE, BY REGION, 2018-2024 (USD MILLION)
TABLE 130. GLOBAL MACHINE LEARNING MARKET SIZE, BY ON PREMISE, BY REGION, 2025-2030 (USD MILLION)
TABLE 131. GLOBAL MACHINE LEARNING MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
TABLE 132. GLOBAL MACHINE LEARNING MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
TABLE 133. GLOBAL MACHINE LEARNING MARKET SIZE, BY COMPUTER VISION, BY REGION, 2018-2024 (USD MILLION)
TABLE 134. GLOBAL MACHINE LEARNING MARKET SIZE, BY COMPUTER VISION, BY REGION, 2025-2030 (USD MILLION)
TABLE 135. GLOBAL MACHINE LEARNING MARKET SIZE, BY FACIAL RECOGNITION, BY REGION, 2018-2024 (USD MILLION)
TABLE 136. GLOBAL MACHINE LEARNING MARKET SIZE, BY FACIAL RECOGNITION, BY REGION, 2025-2030 (USD MILLION)
TABLE 137. GLOBAL MACHINE LEARNING MARKET SIZE, BY IMAGE RECOGNITION, BY REGION, 2018-2024 (USD MILLION)
TABLE 138. GLOBAL MACHINE LEARNING MARKET SIZE, BY IMAGE RECOGNITION, BY REGION, 2025-2030 (USD MILLION)
TABLE 139. GLOBAL MACHINE LEARNING MARKET SIZE, BY VIDEO ANALYTICS, BY REGION, 2018-2024 (USD MILLION)
TABLE 140. GLOBAL MACHINE LEARNING MARKET SIZE, BY VIDEO ANALYTICS, BY REGION, 2025-2030 (USD MILLION)
TABLE 141. GLOBAL MACHINE LEARNING MARKET SIZE, BY COMPUTER VISION, 2018-2024 (USD MILLION)
TABLE 142. GLOBAL MACHINE LEARNING MARKET SIZE, BY COMPUTER VISION, 2025-2030 (USD MILLION)
TABLE 143. GLOBAL MACHINE LEARNING MARKET SIZE, BY FRAUD DETECTION, BY REGION, 2018-2024 (USD MILLION)
TABLE 144. GLOBAL MACHINE LEARNING MARKET SIZE, BY FRAUD DETECTION, BY REGION, 2025-2030 (USD MILLION)
TABLE 145. GLOBAL MACHINE LEARNING MARKET SIZE, BY IDENTITY FRAUD, BY REGION, 2018-2024 (USD MILLION)
TABLE 146. GLOBAL MACHINE LEARNING MARKET SIZE, BY IDENTITY FRAUD, BY REGION, 2025-2030 (USD MILLION)
TABLE 147. GLOBAL MACHINE LEARNING MARKET SIZE, BY INSURANCE FRAUD, BY REGION, 2018-2024 (USD MILLION)
TABLE 148. GLOBAL MACHINE LEARNING MARKET SIZE, BY INSURANCE FRAUD, BY REGION, 2025-2030 (USD MILLION)
TABLE 149. GLOBAL MACHINE LEARNING MARKET SIZE, BY TRANSACTION FRAUD, BY REGION, 2018-2024 (USD MILLION)
TABLE 150. GLOBAL MACHINE LEARNING MARKET SIZE, BY TRANSACTION FRAUD, BY REGION, 2025-2030 (USD MILLION)
TABLE 151. GLOBAL MACHINE LEARNING MARKET SIZE, BY FRAUD DETECTION, 2018-2024 (USD MILLION)
TABLE 152. GLOBAL MACHINE LEARNING MARKET SIZE, BY FRAUD DETECTION, 2025-2030 (USD MILLION)
TABLE 153. GLOBAL MACHINE LEARNING MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY REGION, 2018-2024 (USD MILLION)
TABLE 154. GLOBAL MACHINE LEARNING MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, BY REGION, 2025-2030 (USD MILLION)
TABLE 155. GLOBAL MACHINE LEARNING MARKET SIZE, BY CHATBOTS, BY REGION, 2018-2024 (USD MILLION)
TABLE 156. GLOBAL MACHINE LEARNING MARKET SIZE, BY CHATBOTS, BY REGION, 2025-2030 (USD MILLION)
TABLE 157. GLOBAL MACHINE LEARNING MARKET SIZE, BY SENTIMENT ANALYSIS, BY REGION, 2018-2024 (USD MILLION)
TABLE 158. GLOBAL MACHINE LEARNING MARKET SIZE, BY SENTIMENT ANALYSIS, BY REGION, 2025-2030 (USD MILLION)
TABLE 159. GLOBAL MACHINE LEARNING MARKET SIZE, BY TEXT MINING, BY REGION, 2018-2024 (USD MILLION)
TABLE 160. GLOBAL MACHINE LEARNING MARKET SIZE, BY TEXT MINING, BY REGION, 2025-2030 (USD MILLION)
TABLE 161. GLOBAL MACHINE LEARNING MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2024 (USD MILLION)
TABLE 162. GLOBAL MACHINE LEARNING MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2025-2030 (USD MILLION)
TABLE 163. GLOBAL MACHINE LEARNING MARKET SIZE, BY PREDICTIVE ANALYTICS, BY REGION, 2018-2024 (USD MILLION)
TABLE 164. GLOBAL MACHINE LEARNING MARKET SIZE, BY PREDICTIVE ANALYTICS, BY REGION, 2025-2030 (USD MILLION)
TABLE 165. GLOBAL MACHINE LEARNING MARKET SIZE, BY ANOMALY DETECTION, BY REGION, 2018-2024 (USD MILLION)
TABLE 166. GLOBAL MACHINE LEARNING MARKET SIZE, BY ANOMALY DETECTION, BY REGION, 2025-2030 (USD MILLION)
TABLE 167. GLOBAL MACHINE LEARNING MARKET SIZE, BY FORECASTING, BY REGION, 2018-2024 (USD MILLION)
TABLE 168. GLOBAL MACHINE LEARNING MARKET SIZE, BY FORECASTING, BY REGION, 2025-2030 (USD MILLION)
TABLE 169. GLOBAL MACHINE LEARNING MARKET SIZE, BY PRESCRIPTIVE ANALYTICS, BY REGION, 2018-2024 (USD MILLION)
TABLE 170. GLOBAL MACHINE LEARNING MARKET SIZE, BY PRESCRIPTIVE ANALYTICS, BY REGION, 2025-2030 (USD MILLION)
TABLE 171. GLOBAL MACHINE LEARNING MARKET SIZE, BY PREDICTIVE ANALYTICS, 2018-2024 (USD MILLION)
TABLE 172. GLOBAL MACHINE LEARNING MARKET SIZE, BY PREDICTIVE ANALYTICS, 2025-2030 (USD MILLION)
TABLE 173. GLOBAL MACHINE LEARNING MARKET SIZE, BY RECOMMENDATION SYSTEMS, BY REGION, 2018-2024 (USD MILLION)
TABLE 174. GLOBAL MACHINE LEARNING MARKET SIZE, BY RECOMMENDATION SYSTEMS, BY REGION, 2025-2030 (USD MILLION)
TABLE 175. GLOBAL MACHINE LEARNING MARKET SIZE, BY COLLABORATIVE FILTERING, BY REGION, 2018-2024 (USD MILLION)
TABLE 176. GLOBAL MACHINE LEARNING MARKET SIZE, BY COLLABORATIVE FILTERING, BY REGION, 2025-2030 (USD MILLION)
TABLE 177. GLOBAL MACHINE LEARNING MARKET SIZE, BY CONTENT BASED FILTERING, BY REGION, 2018-2024 (USD MILLION)
TABLE 178. GLOBAL MACHINE LEARNING MARKET SIZE, BY CONTENT BASED FILTERING, BY REGION, 2025-2030 (USD MILLION)
TABLE 179. GLOBAL MACHINE LEARNING MARKET SIZE, BY HYBRID RECOMMENDERS, BY REGION, 2018-2024 (USD MILLION)
TABLE 180. GLOBAL MACHINE LEARNING MARKET SIZE, BY HYBRID RECOMMENDERS, BY REGION, 2025-2030 (USD MILLION)
TABLE 181. GLOBAL MACHINE LEARNING MARKET SIZE, BY RECOMMENDATION SYSTEMS, 2018-2024 (USD MILLION)
TABLE 182. GLOBAL MACHINE LEARNING MARKET SIZE, BY RECOMMENDATION SYSTEMS, 2025-2030 (USD MILLION)
TABLE 183. GLOBAL MACHINE LEARNING MARKET SIZE, BY SPEECH RECOGNITION, BY REGION, 2018-2024 (USD MILLION)
TABLE 184. GLOBAL MACHINE LEARNING MARKET SIZE, BY SPEECH RECOGNITION, BY REGION, 2025-2030 (USD MILLION)
TABLE 185. GLOBAL MACHINE LEARNING MARKET SIZE, BY SPEECH-TO-TEXT, BY REGION, 2018-2024 (USD MILLION)
TABLE 186. GLOBAL MACHINE LEARNING MARKET SIZE, BY SPEECH-TO-TEXT, BY REGION, 2025-2030 (USD MILLION)
TABLE 187. GLOBAL MACHINE LEARNING MARKET SIZE, BY VOICE BIOMETRICS, BY REGION, 2018-2024 (USD MILLION)
TABLE 188. GLOBAL MACHINE LEARNING MARKET SIZE, BY VOICE BIOMETRICS, BY REGION, 2025-2030 (USD MILLION)
TABLE 189. GLOBAL MACHINE LEARNING MARKET SIZE, BY SPEECH RECOGNITION, 2018-2024 (USD MILLION)
TABLE 190. GLOBAL MACHINE LEARNING MARKET SIZE, BY SPEECH RECOGNITION, 2025-2030 (USD MILLION)
TABLE 191. GLOBAL MACHINE LEARNING MARKET SIZE, BY END USER INDUSTRY, 2018-2024 (USD MILLION)
TABLE 192. GLOBAL MACHINE LEARNING MARKET SIZE, BY END USER INDUSTRY, 2025-2030 (USD MILLION)
TABLE 193. GLOBAL MACHINE LEARNING MARKET SIZE, BY BFSI, BY REGION, 2018-2024 (USD MILLION)
TABLE 194. GLOBAL MACHINE LEARNING MARKET SIZE, BY BFSI, BY REGION, 2025-2030 (USD MILLION)
TABLE 195. GLOBAL MACHINE LEARNING MARKET SIZE, BY BANKING, BY REGION, 2018-2024 (USD MILLION)
TABLE 196. GLOBAL MACHINE LEARNING MARKET SIZE, BY BANKING, BY REGION, 2025-2030 (USD MILLION)
TABLE 197. GLOBAL MACHINE LEARNING MARKET SIZE, BY CAPITAL MARKETS, BY REGION, 2018-2024 (USD MILLION)
TABLE 198. GLOBAL MACHINE LEARNING MARKET SIZE, BY CAPITAL MARKETS, BY REGION, 2025-2030 (USD MILLION)
TABLE 199. GLOBAL MACHINE LEARNING MARKET SIZE, BY INSURANCE, BY REGION, 2018-2024 (USD MILLION)
TABLE 200. GLOBAL MACHINE LEARNING MARKET SIZE, BY INSURANCE, BY REGION, 2025-2030 (USD MILLION)
TABLE 201. GLOBAL MACHINE LEARNING MARKET SIZE, BY BFSI, 2018-2024 (USD MILLION)
TABLE 202. GLOBAL MACHINE LEARNING MARKET SIZE, BY BFSI, 2025-2030 (USD MILLION)
TABLE 203. GLOBAL MACHINE LEARNING MARKET SIZE, BY ENERGY & UTILITIES, BY REGION, 2018-2024 (USD MILLION)
TABLE 204. GLOBAL MACHINE LEARNING MARKET SIZE, BY ENERGY & UTILITIES, BY REGION, 2025-2030 (USD MILLION)
TABLE 205. GLOBAL MACHINE LEARNING MARKET SIZE, BY OIL AND GAS, BY REGION, 2018-2024 (USD MILLION)
TABLE 206. GLOBAL MACHINE LEARNING MARKET SIZE, BY OIL AND GAS, BY REGION, 2025-2030 (USD MILLION)
TABLE 207. GLOBAL MACHINE LEARNING MARKET SIZE, BY POWER GENERATION, BY REGION, 2018-2024 (USD MILLION)
TABLE 208. GLOBAL MACHINE LEARNING MARKET SIZE, BY POWER GENERATION, BY REGION, 2025-2030 (USD MILLION)
TABLE 209. GLOBAL MACHINE LEARNING MARKET SIZE, BY RENEWABLE ENERGY, BY REGION, 2018-2024 (USD MILLION)
TABLE 210. GLOBAL MACHINE LEARNING MARKET SIZE, BY RENEWABLE ENERGY, BY REGION, 2025-2030 (USD MILLION)
TABLE 211. GLOBAL MACHINE LEARNING MARKET SIZE, BY ENERGY & UTILITIES, 2018-2024 (USD MILLION)
TABLE 212. GLOBAL MACHINE LEARNING MARKET SIZE, BY ENERGY & UTILITIES, 2025-2030 (USD MILLION)
TABLE 213. GLOBAL MACHINE LEARNING MARKET SIZE, BY GOVERNMENT & PUBLIC SECTOR, BY REGION, 2018-2024 (USD MILLION)
TABLE 214. GLOBAL MACHINE LEARNING MARKET SIZE, BY GOVERNMENT & PUBLIC SECTOR, BY REGION, 2025-2030 (USD MILLION)
TABLE 215. GLOBAL MACHINE LEARNING MARKET SIZE, BY DEFENSE, BY REGION, 2018-2024 (USD MILLION)
TABLE 216. GLOBAL MACHINE LEARNING MARKET SIZE, BY DEFENSE, BY REGION, 2025-2030 (USD MILLION)
TABLE 217. GLOBAL MACHINE LEARNING MARKET SIZE, BY EDUCATION, BY REGION, 2018-2024 (USD MILLION)
TABLE 218. GLOBAL MACHINE LEARNING MARKET SIZE, BY EDUCATION, BY REGION, 2025-2030 (USD MILLION)
TABLE 219. GLOBAL MACHINE LEARNING MARKET SIZE, BY PUBLIC ADMINISTRATION, BY REGION, 2018-2024 (USD MILLION)
TABLE 220. GLOBAL MACHINE LEARNING MARKET SIZE, BY PUBLIC ADMINISTRATION, BY REGION, 2025-2030 (USD MILLION)
TABLE 221. GLOBAL MACHINE LEARNING MARKET SIZE, BY GOVERNMENT & PUBLIC SECTOR, 2018-2024 (USD MILLION)
TABLE 222. GLOBAL MACHINE LEARNING MARKET SIZE, BY GOVERNMENT & PUBLIC SECTOR, 2025-2030 (USD MILLION)
TABLE 223. GLOBAL MACHINE LEARNING MARKET SIZE, BY HEALTHCARE, BY REGION, 2018-2024 (USD MILLION)
TABLE 224. GLOBAL MACHINE LEARNING MARKET SIZE, BY HEALTHCARE, BY REGION, 2025-2030 (USD MILLION)
TABLE 225. GLOBAL MACHINE LEARNING MARKET SIZE, BY HOSPITALS AND CLINICS, BY REGION, 2018-2024 (USD MILLION)
TABLE 226. GLOBAL MACHINE LEARNING MARKET SIZE, BY HOSPITALS AND CLINICS, BY REGION, 2025-2030 (USD MILLION)
TABLE 227. GLOBAL MACHINE LEARNING MARKET SIZE, BY MEDICAL DEVICES, BY REGION, 2018-2024 (USD MILLION)
TABLE 228. GLOBAL MACHINE LEARNING MARKET SIZE, BY MEDICAL DEVICES, BY REGION, 2025-2030 (USD MILLION)
TABLE 229. GLOBAL MACHINE LEARNING MARKET SIZE, BY PHARMACEUTICALS, BY REGION, 2018-2024 (USD MILLION)
TABLE 230. GLOBAL MACHINE LEARNING MARKET SIZE, BY PHARMACEUTICALS, BY REGION, 2025-2030 (USD MILLION)
TABLE 231. GLOBAL MACHINE LEARNING MARKET SIZE, BY HEALTHCARE, 2018-2024 (USD MILLION)
TABLE 232. GLOBAL MACHINE LEARNING MARKET SIZE, BY HEALTHCARE, 2025-2030 (USD MILLION)
TABLE 233. GLOBAL MACHINE LEARNING MARKET SIZE, BY IT & TELECOM, BY REGION, 2018-2024 (USD MILLION)
TABLE 234. GLOBAL MACHINE LEARNING MARKET SIZE, BY IT & TELECOM, BY REGION, 2025-2030 (USD MILLION)
TABLE 235. GLOBAL MACHINE LEARNING MARKET SIZE, BY IT SERVICES, BY REGION, 2018-2024 (USD MILLION)
TABLE 236. GLOBAL MACHINE LEARNING MARKET SIZE, BY IT SERVICES, BY REGION, 2025-2030 (USD MILLION)
TABLE 237. GLOBAL MACHINE LEARNING MARKET SIZE, BY TELECOM PROVIDERS, BY REGION, 2018-2024 (USD MILLION)
TABLE 238. GLOBAL MACHINE LEARNING MARKET SIZE, BY TELECOM PROVIDERS, BY REGION, 2025-2030 (USD MILLION)
TABLE 239. GLOBAL MACHINE LEARNING MARKET SIZE, BY IT & TELECOM, 2018-2024 (USD MILLION)
TABLE 240. GLOBAL MACHINE LEARNING MARKET SIZE, BY IT & TELECOM, 2025-2030 (USD MILLION)
TABLE 241. GLOBAL MACHINE LEARNING MARKET SIZE, BY MANUFACTURING, BY REGION, 2018-2024 (USD MILLION)
TABLE 242. GLOBAL MACHINE LEARNING MARKET SIZE, BY MANUFACTURING, BY REGION, 2025-2030 (USD MILLION)
TABLE 243. GLOBAL MACHINE LEARNING MARKET SIZE, BY DISCRETE MANUFACTURING, BY REGION, 2018-2024 (USD MILLION)
TABLE 244. GLOBAL MACHINE LEARNING MARKET SIZE, BY DISCRETE MANUFACTURING, BY REGION, 2025-2030 (USD MILLION)
TABLE 245. GLOBAL MACHINE LEARNING MARKET SIZE, BY PROCESS MANUFACTURING, BY REGION, 2018-2024 (USD MILLION)
TABLE 246. GLOBAL MACHINE LEARNING MARKET SIZE, BY PROCESS MANUFACTURING, BY REGION, 2025-2030 (USD MILLION)
TABLE 247. GLOBAL MACHINE LEARNING MARKET SIZE, BY MANUFACTURING, 2018-2024 (USD MILLION)
TABLE 248. GLOBAL MACHINE LEARNING MARKET SIZE, BY MANUFACTURING, 2025-2030 (USD MILLION)
TABLE 249. GLOBAL MACHINE LEARNING MARKET SIZE, BY RETAIL, BY REGION, 2018-2024 (USD MILLION)
TABLE 250. GLOBAL MACHINE LEARNING MARKET SIZE, BY RETAIL, BY REGION, 2025-2030 (USD MILLION)
TABLE 251. GLOBAL MACHINE LEARNING MARKET SIZE, BY BRICK AND MORTAR, BY REGION, 2018-2024 (USD MILLION)
TABLE 252. GLOBAL MACHINE LEARNING MARKET SIZE, BY BRICK AND MORTAR, BY REGION, 2025-2030 (USD MILLION)
TABLE 253. GLOBAL MACHINE LEARNING MARKET SIZE, BY E-COMMERCE, BY REGION, 2018-2024 (USD MILLION)
TABLE 254. GLOBAL MACHINE LEARNING MARKET SIZE, BY E-COMMERCE, BY REGION, 2025-2030 (USD MILLION)
TABLE 255. GLOBAL MACHINE LEARNING MARKET SIZE, BY HYPERMARKETS AND SUPERMARKETS, BY REGION, 2018-2024 (USD MILLION)
TABLE 256. GLOBAL MACHINE LEARNING MARKET SIZE, BY HYPERMARKETS AND SUPERMARKETS, BY REGION, 2025-2030 (USD MILLION)
TABLE 257. GLOBAL MACHINE LEARNING MARKET SIZE, BY RETAIL, 2018-2024 (USD MILLION)
TABLE 258. GLOBAL MACHINE LEARNING MARKET SIZE, BY RETAIL, 2025-2030 (USD MILLION)
TABLE 259. GLOBAL MACHINE LEARNING MARKET SIZE, BY TRANSPORTATION & LOGISTICS, BY REGION, 2018-2024 (USD MILLION)
TABLE 260. GLOBAL MACHINE LEARNING MARKET SIZE, BY TRANSPORTATION & LOGISTICS, BY REGION, 2025-2030 (USD MILLION)
TABLE 261. GLOBAL MACHINE LEARNING MARKET SIZE, BY AIR FREIGHT, BY REGION, 2018-2024 (USD MILLION)
TABLE 262. GLOBAL MACHINE LEARNING MARKET SIZE, BY AIR FREIGHT, BY REGION, 2025-2030 (USD MILLION)
TABLE 263. GLOBAL MACHINE LEARNING MARKET SIZE, BY MARITIME, BY REGION, 2018-2024 (USD MILLION)
TABLE 264. GLOBAL MACHINE LEARNING MARKET SIZE, BY MARITIME, BY REGION, 2025-2030 (USD MILLION)
TABLE 265. GLOBAL MACHINE LEARNING MARKET SIZE, BY RAILWAYS, BY REGION, 2018-2024 (USD MILLION)
TABLE 266. GLOBAL MACHINE LEARNING MARKET SIZE, BY RAILWAYS, BY REGION, 2025-2030 (USD MILLION)
TABLE 267. GLOBAL MACHINE LEARNING MARKET SIZE, BY ROADWAYS, BY REGION, 2018-2024 (USD MILLION)
TABLE 268. GLOBAL MACHINE LEARNING MARKET SIZE, BY ROADWAYS, BY REGION, 2025-2030 (USD MILLION)
TABLE 269. GLOBAL MACHINE LEARNING MARKET SIZE, BY TRANSPORTATION & LOGISTICS, 2018-2024 (USD MILLION)
TABLE 270. GLOBAL MACHINE LEARNING MARKET SIZE, BY TRANSPORTATION & LOGISTICS, 2025-2030 (USD MILLION)
TABLE 271. AMERICAS MACHINE LEARNING MARKET SIZE, BY OFFERING, 2018-2024 (USD MILLION)
TABLE 272. AMERICAS MACHINE LEARNING MARKET SIZE, BY OFFERING, 2025-2030 (USD MILLION)
TABLE 273. AMERICAS MACHINE LEARNING MARKET SIZE, BY HARDWARE, 2018-2024 (USD MILLION)
TABLE 274. AMERICAS MACHINE LEARNING MARKET SIZE, BY HARDWARE, 2025-2030 (USD MILLION)
TABLE 275. AMERICAS MACHINE LEARNING MARKET SIZE, BY ASIC SOLUTIONS, 2018-2024 (USD MILLION)
TABLE 276. AMERICAS MACHINE LEARNING MARKET SIZE, BY ASIC SOLUTIONS, 2025-2030 (USD MILLION)
TABLE 277. AMERICAS MACHINE LEARNING MARKET SIZE, BY CPU SOLUTIONS, 2018-2024 (USD MILLION)
TABLE 278. AMERICAS MACHINE LEARNING MARKET SIZE, BY CPU SOLUTIONS, 2025-2030 (USD MILLION)
TABLE 279. AMERICAS MACHINE LEARNING MARKET SIZE, BY EDGE DEVICES, 2018-2024 (USD MILLION)
TABLE 280. AMERICAS MACHINE LEARNING MARKET SIZE, BY EDGE DEVICES, 2025-2030 (USD MILLION)
TABLE 281. AMERICAS MACHINE LEARNING MARKET SIZE, BY GPU SOLUTIONS, 2018-2024 (USD MILLION)
TABLE 282. AMERICAS MACHINE LEARNING MARKET SIZE, BY GPU SOLUTIONS, 2025-2030 (USD MILLION)
TABLE 283. AMERICAS MACHINE LEARNING MARKET SIZE, BY SERVICES, 2018-2024 (USD MILLION)
TABLE 284. AMERICAS MACHINE LEARNING MARKET SIZE, BY SERVICES, 2025-2030 (USD MILLION)
TABLE 285. AMERICAS MACHINE LEARNING MARKET SIZE, BY CONSULTING SERVICES, 2018-2024 (USD MILLION)
TABLE 286. AMERICAS MACHINE LEARNING MARKET SIZE, BY CONSULTING SERVICES, 2025-2030 (USD MILLION)
TABLE 287. AMERICAS MACHINE LEARNING MARKET SIZE, BY MANAGED SERVICES, 2018-2024 (USD MILLION)
TABLE 288. AMERICAS MACHINE LEARNING MARKET SIZE, BY MANAGED SERVICES, 2025-2030 (USD MILLION)
TABLE 289. AMERICAS MACHINE LEARNING MARKET SIZE, BY PROFESSIONAL SERVICES, 2018-2024 (USD MILLION)
TABLE 290. AMERICAS MACHINE LEARNING MARKET SIZE, BY PROFESSIONAL SERVICES, 2025-2030 (USD MILLION)
TABLE 291. AMERICAS MACHINE LEARNING MARKET SIZE, BY SOFTWARE, 2018-2024 (USD MILLION)
TABLE 292. AMERICAS MACHINE LEARNING MARKET SIZE, BY SOFTWARE, 2025-2030 (USD MILLION)
TABLE 293. AMERICAS MACHINE LEARNING MARKET SIZE, BY DEEP LEARNING FRAMEWORKS, 2018-2024 (USD MILLION)
TABLE 294. AMERICAS MACHINE LEARNING MARKET SIZE, BY DEEP LEARNING FRAMEWORKS, 2025-2030 (USD MILLION)
TABLE 295. AMERICAS MACHINE LEARNING MARKET SIZE, BY MACHINE LEARNING PLATFORMS, 2018-2024 (USD MILLION)
TABLE 296. AMERICAS MACHINE LEARNING MARKET SIZE, BY MACHINE LEARNING PLATFORMS, 2025-2030 (USD MILLION)
TABLE 297. AMERICAS MACHINE LEARNING MARKET SIZE, BY PREDICTIVE ANALYTICS SOFTWARE, 2018-2024 (USD MILLION)
TABLE 298. AMERICAS MACHINE LEARNING MARKET SIZE, BY PREDICTIVE ANALYTICS SOFTWARE, 2025-2030 (USD MILLION)
TABLE 299. AMERICAS MACHINE LEARNING MARKET SIZE, BY DEPLOYMENT MODE, 2018-2024 (USD MILLION)
TABLE 300. AMERICAS MACHINE LEARNING MARKET SIZE, BY DEPLOYMENT MODE, 2025-2030 (USD MILLION)
TABLE 301. AMERICAS MACHINE LEARNING MARKET SIZE, BY CLOUD, 2018-2024 (USD MILLION)
TABLE 302. AMERICAS MACHINE LEARNING MARKET SIZE, BY CLOUD, 2025-2030 (USD MILLION)
TABLE 303. AMERICAS MACHINE LEARNING MARKET SIZE, BY APPLICATION, 2018-2024 (USD MILLION)
TABLE 304. AMERICAS MACHINE LEARNING MARKET SIZE, BY APPLICATION, 2025-2030 (USD MILLION)
TABLE 305. AMERICAS MACHINE LEARNING MARKET SIZE, BY COMPUTER VISION, 2018-2024 (USD MILLION)
TABLE 306. AMERICAS MACHINE LEARNING MARKET SIZE, BY COMPUTER VISION, 2025-2030 (USD MILLION)
TABLE 307. AMERICAS MACHINE LEARNING MARKET SIZE, BY FRAUD DETECTION, 2018-2024 (USD MILLION)
TABLE 308. AMERICAS MACHINE LEARNING MARKET SIZE, BY FRAUD DETECTION, 2025-2030 (USD MILLION)
TABLE 309. AMERICAS MACHINE LEARNING MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2018-2024 (USD MILLION)
TABLE 310. AMERICAS MACHINE LEARNING MARKET SIZE, BY NATURAL LANGUAGE PROCESSING, 2025-2030 (USD MILLION)
TABLE 311. AMERICAS MACHINE LEARNING MARKET SIZE, BY PREDICTIVE ANALYTICS, 2018-2024 (USD MILLION)
TABLE 312. AMERICAS MACHINE LEARNING MARKET SIZE, BY PREDICTIVE ANALYTICS, 2025-2030 (USD MILLION)
TABLE 313. AMERICAS MACHINE LEARNING MARKET SIZE, BY RECOMMENDATION SYSTEMS, 2018-2024 (USD MILLION)
TABLE 314. AMERICAS MACHINE LEARNING MARKET SIZE, BY RECOMMENDATION SYSTEMS, 2025-2030 (USD MILLION)
TABLE 315. AMERICAS MACHINE LEARNING MARKET SIZE, BY SPEECH RECOGNITION, 2018-2024 (USD MILLION)
TABLE 316. AMERICAS MACHINE LEARNING MARKET SIZE, BY SPEECH RECOGNITION, 2025-2030 (USD MILLION)
TABLE 317. AMERICAS MACHINE LEARNING MARKET SIZE, BY END USER INDUSTRY, 2018-2024 (USD MILLION)
TABLE 318. AMERICAS MACHINE LEARNING MARKET SIZE, BY END USER INDUSTRY, 2025-2030 (USD MILLION)
TABLE 319. AMERICAS MACHINE LEARNING MARKET SIZE, BY BFSI, 2018-2024 (USD MILLION)
TABLE 320. AMERICAS MACHINE LEARNING MARKET SIZE, BY BFSI, 2025-2030 (USD MILLION)
TABLE 321. AMERICAS MACHINE LEARNING MARKET SIZE, BY ENERGY & UTILITIES, 2018-2024 (USD MILLION)
TABLE 322. AMERICAS MACHINE LEARNING MARKET SIZE, BY ENERGY & UTILITIES, 2025-2030 (USD MILLION)
TABLE 323. AMERICAS MACHINE LEARNING MARKET SIZE, BY GOVERNMENT & PUBLIC SECTOR, 2018-2024 (USD MILLION)
TABLE 324. AMERICAS MACHINE LEARNING MARKET SIZE, BY GOVERNMENT & PUBLIC SECTOR, 2025-2030 (USD MILLION)
TABLE 325. AMERICAS MACHINE LEARNING MARKET SIZE, BY HEALTHCARE, 2018-2024 (USD MILLION)
TABLE 326. AMERICAS MACHINE LEARNING MARKET SIZE, BY HEALTHCARE, 2025-2030 (USD MILLION)
TABLE 327. AMERICAS MACHINE LEARNING MARKET SIZE, BY IT & TELECOM, 2018-2024 (USD MILLION)
TABLE 328. AMERICAS MACHINE LEARNING MARKET SIZE, BY IT & TELECOM, 2025-2030 (USD MILLION)
TABLE 329. AMERICAS MACHINE LEARNING MARKET SIZE, BY MANUFACTURING, 2018-2024 (USD MILLION)
TABLE 330. AMERICAS MACHINE LEARNING MARKET SIZE, BY MANUFACTURING, 2025-2030 (USD MILLION)
TABLE 331. AMERICAS MACHINE LEARNING MARKET SIZE, BY RETAIL, 2018-2024 (USD MILLION)
TABLE 332. AMERICAS MACHINE LEARNING MARKET SIZE, BY RETAIL, 2025-2030 (USD MILLION)
TABLE 333. AMERICAS MACHINE LEARNING MARKET SIZE, BY TRANSPORTATION & L

Samples

Loading
LOADING...

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

Table Information