세계의 머신러닝 시장 보고서(2025년)

Machine Learning Global Market Report 2025

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한글목차

머신러닝 시장 규모는 향후 몇 년 동안 비약적인 성장을 보일 것으로 예상되며, 2029년에는 36.7%의 CAGR로 3,298억 달러 규모로 성장할 것으로 예상됩니다. 예측 기간의 성장은 설명 가능성과 윤리적 AI에 대한 우려, 기하급수적인 데이터 증가, 엣지 컴퓨팅의 확대, AI와 ml의 통합 확대, 예측 분석에 대한 세계 수요에 기인합니다. 예측 기간의 주요 동향으로는 알고리즘 혁신의 지속, 빅데이터 기술의 부상, 자동화 머신러닝(automl), 협업 학습, ml과 다른 기술과의 통합, 산업별 ml 솔루션 등이 있습니다.

클라우드 기반 플랫폼의 채택 증가는 머신러닝 시장 성장의 원동력이 될 것으로 예상됩니다. 클라우드 기반 플랫폼은 인터넷을 통해 컴퓨팅 서비스와 리소스를 제공하며, 물리적 인프라나 하드웨어 없이도 사용자에게 애플리케이션, 스토리지, 처리 능력에 대한 액세스를 제공합니다. 이러한 플랫폼은 여러 사용자가 동시에 프로젝트를 진행하여 협업을 촉진할 뿐만 아니라 다른 클라우드 서비스와의 원활한 통합을 가능하게 합니다. 영국 정부 기관인 Ofcom에 따르면, 영국 클라우드 인프라 시장의 2022년 시장 규모는 약 70억 파운드에서 75억 파운드에 달할 것으로 예상하고 있습니다. 또한, 2023년에는 전 세계 하이테크 기업 및 비즈니스 리더의 41.4%가 클라우드 기반 서비스 및 제품에 대한 투자를 늘릴 계획으로, 클라우드 도입이 머신러닝 시장의 성장을 촉진하는 데 중요한 역할을 하고 있음을 강조하고 있습니다.

머신러닝 시장의 주요 업체들은 머신러닝 프로세스를 간소화하고 자동화하는 자동화 머신러닝 툴에 주력하고 있습니다. 이러한 도구는 모델 선택, 훈련, 배포를 자동화하고, 머신러닝에 대한 전문 지식이 부족한 개인이나 조직도 사용할 수 있도록 하는 것을 목표로 합니다. 싱가포르에 본사를 둔 핀테크 기업 AND Solutions Pte Ltd.는 2023년 4월 NIKO AutoML 플랫폼을 발표하며 이러한 추세를 예시하고 있습니다. 학습 도구입니다. 이 플랫폼은 사용자 친화적인 인터페이스를 제공하고, 프로세스의 각 단계를 통해 사용자를 안내하며, 기존 접근 방식에 비해 짧은 시간 내에 최적의 결과를 제공하는 등 NIKO AutoML의 주요 장점은 빠르고 정확한 모델 생성, 간소화된 워크플로우, 생산성 향상, 빠른 모델 생성 등입니다. 워크플로우, 생산성 향상, 비용 효율성입니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 - 금리, 인플레이션, 지정학, 코로나, 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계의 성장 분석과 전략 분석 프레임워크

• 세계 머신러닝 PESTEL 분석(정치, 사회, 기술, 환경, 법적 요인, 촉진요인, 억제요인)
• 최종 이용 산업 분석
• 세계의 머신러닝 시장 : 성장률 분석
• 세계의 머신러닝 시장 실적 : 규모와 성장, 2019-2024
• 세계의 머신러닝 시장 예측 : 규모와 성장, 2024-2029, 2034F
• 세계 머신러닝 전체 시장(TAM)

제6장 시장 세분화

• 세계의 머신러닝 시장 : 구성요소별 전망, 실적과 예측, 2019-2024, 2024-2029F, 2034F
• 하드웨어
• 소프트웨어
• 세계의 머신러닝 시장 : 전개별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
• 클라우드
• 온프레미스
• 세계의 머신러닝 시장 : 유형별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
• 대기업
• 중소기업
• 세계의 머신러닝 시장 : 최종사용자별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
• 헬스케어
• 소매
• BFSI
• 제조업
• IT와 통신
• 에너지와 유틸리티
• 농업
• 자동차
• 마케팅과 광고
• 세계의 머신러닝 시장, 하드웨어 하위 세분화, 유형별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
• 그래픽처리장치(GPU)
• 특정 용도용 집적회로(ASIC)
• 필드 프로그래머블 게이트 어레이(FPGA)
• 중앙처리장치(CPU)
• 메모리와 스토리지 디바이스
• 세계의 머신러닝 시장, 소프트웨어 하위 세분화, 유형별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
• 머신러닝 프레임워크와 라이브러리
• 데이터 처리 및 분석 툴
• 모델 개발 플랫폼
• 전개 및 통합 소프트웨어
• 사전 구축된 AI 솔루션

제7장 지역별·국가별 분석

• 세계의 머신러닝 시장 : 지역별, 실적과 예측, 2019-2024, 2024-2029F, 2034F
• 세계의 머신러닝 시장 : 국가별, 실적과 예측, 2019-2024, 2024-2029F, 2034F

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도와 기업 개요

• 머신러닝 시장 : 경쟁 구도
• 머신러닝 시장 : 기업 개요
  • Google Inc. Overview, Products and Services, Strategy and Financial Analysis
  • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
  • Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
  • International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
  • SAP SE Overview, Products and Services, Strategy and Financial Analysis

제31장 기타 주요 기업과 혁신적 기업

• Hewlett Packard Enterprise Development LP
• Baidu Inc.
• Intel Corporation
• SAS Institute Inc.
• Fair Isaac Corporation
• Alteryx
• Dataiku
• H2o.AI
• KNIME.com AG
• Alpine Data
• Peltarion
• RapidMiner Inc.
• BigML Inc.
• Luminoso Technologies Inc.
• Turing Analytics

제32장 세계의 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병

제34장 최근의 시장 동향

제35장 시장 잠재력이 높은 국가, 부문, 전략

• 머신러닝 시장 2029 : 새로운 기회를 제공하는 국가
• 머신러닝 시장 2029 : 새로운 기회를 제공하는 부문
• 머신러닝 시장 2029 : 성장 전략
  • 시장 동향에 기반한 전략
  • 경쟁 전략

제36장 부록

ksm

영문 목차

영문목차

Machine learning is a subset of artificial intelligence that revolves around the creation of algorithms enabling computers to learn from data, recognize patterns, and generate predictions or decisions without explicit programming. The core objective is to develop models that enhance their performance over time through exposure to additional information, emphasizing the capacity for autonomous learning and adaptation.

The primary components of machine learning include hardware and software. Hardware tools encompass physical devices and equipment tailored for specific tasks or functions in diverse fields such as construction, manufacturing, or electronics. These tools facilitate the processing of large datasets and complex neural network architectures, thereby improving the performance and scalability of machine learning applications. Machine learning is deployed both in the cloud and on-premises, catering to the needs of large enterprises, small and medium enterprises, and is utilized across various sectors, including healthcare, retail, BFSI (Banking, Financial Services, and Insurance), manufacturing, IT & telecom, energy & utilities, agriculture, automotive, as well as marketing and advertising.

The machine learning market research report is one of a series of new reports from The Business Research Company that provides machine learning market statistics, including machine learning industry global market size, regional shares, competitors with a machine learning market share, detailed machine learning market segments, market trends and opportunities, and any further data you may need to thrive in the machine learning industry. This machine learning market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The machine learning market size has grown exponentially in recent years. It will grow from $68.88 billion in 2024 to $94.35 billion in 2025 at a compound annual growth rate (CAGR) of 37.0%. The growth in the historic period can be attributed to advancements in algorithms, increasing data availability, computing power enhancement, industry adoption and integration, iot and edge computing integration.

The machine learning market size is expected to see exponential growth in the next few years. It will grow to $329.8 billion in 2029 at a compound annual growth rate (CAGR) of 36.7%. The growth in the forecast period can be attributed to explainability and ethical ai concerns, exponential data growth, expansion of edge computing, growing integration of ai and ml, global demand for predictive analytics. Major trends in the forecast period include continued algorithmic innovations, rise of big data technology, automated machine learning (automl), federated learning, integration of ml with other technologies, industry-specific ml solutions.

The increasing adoption of cloud-based platforms is expected to be a driving force behind the growth of the machine learning market. Cloud-based platforms, delivering computing services and resources over the internet, provide users with access to applications, storage, and processing power without the need for physical infrastructure or hardware. These platforms not only facilitate collaboration by allowing multiple users to work on projects simultaneously but also enable seamless integration with other cloud services. According to Ofcom, a UK-based Government office, the UK's cloud infrastructure market was valued between approximately £7.0 billion to £7.5 billion in 2022. Moreover, in 2023, 41.4% of global tech and business leaders are planning to increase their investment in cloud-based services and products, highlighting the significant role of cloud adoption in driving the growth of the machine learning market.

Key players in the machine learning market are directing their efforts toward automated machine learning tools to streamline and automate the machine learning process. These tools aim to automate model selection, training, and deployment, making machine learning more accessible to individuals and organizations with limited expertise in the field. AND Solutions Pte Ltd., a Singapore-based fintech company, exemplifies this trend with the launch of the NIKO AutoML platform in April 2023. NIKO AutoML is an innovative machine-learning tool designed to simplify and expedite the creation of prediction models. The platform offers a user-friendly interface, guiding users through each stage of the process, and provides optimal results in a fraction of the time compared to traditional approaches. Key benefits of NIKO AutoML include fast and accurate model creation, streamlined workflows, increased productivity, and cost-effectiveness.

In May 2023, Infineon Technologies AG, a Germany-based semiconductor manufacturing company, made a strategic move by acquiring Imagimob AB for an undisclosed amount. This acquisition strengthens Infineon Technologies AG's position as a leading machine learning solution provider and significantly expands its portfolio of artificial intelligence (AI) products. Imagimob AB, based in Sweden, specializes in providing a platform for developing machine learning models for edge devices, aligning with the growing trend of edge computing in the machine learning landscape.

Major companies operating in the machine learning market report are Google Inc., Microsoft Corporation, Amazon Web Services Inc., International Business Machines Corporation, SAP SE, Hewlett Packard Enterprise Development LP, Baidu Inc., Intel Corporation, SAS Institute Inc., Fair Isaac Corporation, Alteryx, Dataiku, H2o.AI, KNIME.com AG, Alpine Data, Peltarion, RapidMiner Inc., BigML Inc., Luminoso Technologies Inc., Turing Analytics

North America was the largest region in the machine learning market in 2024. Europe is expected to be the fastest-growing region in the forecast period. The regions covered in the machine learning market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the machine learning market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain

The machine learning market includes revenues earned by entities by predictive analytics, natural language processing, image and video recognition, speech recognition, recommendation systems and anomaly detection. The market value includes the value of related goods sold by the service provider or included within the service offering. The machine learning market consists of sales of graphics processing units (GPUs), application-specific integrated circuits,edge AI processors and others. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Machine Learning Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on machine learning market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for machine learning ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The machine learning market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

• The market characteristics section of the report defines and explains the market.
• The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
• The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

• Market segmentations break down the market into sub markets.
• The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
• The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
• The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

• Markets Covered:1) By Component Outlook: Hardware; Software
• 2) By Deployment: Cloud; On-Premises
• 3) By Type: Large Enterprises; Small And Medium Enterprise
• 4) By End-User: Healthcare; Retail; BFSI; Manufacturing; IT And Telecom; Energy And Utilities; Agriculture; Automotive; Marketing And Advertising
• Subsegments:
• 1) By Hardware: Graphics Processing Units (GPUs); Application-Specific Integrated Circuits (ASICs); Field Programmable Gate Arrays (FPGAs); Central Processing Units (CPUs); Memory And Storage Devices
• 2) By Software: Machine Learning Frameworks And Libraries; Data Processing And Analytics Tools; Model Development Platforms; Deployment And Integration Software; Pre-Built AI Solutions
• Companies Mentioned: Google Inc.; Microsoft Corporation; Amazon Web Services Inc.; International Business Machines Corporation; SAP SE
• Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
• Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
• Time series: Five years historic and ten years forecast.
• Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
• Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
• Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
• Delivery format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. Machine Learning Market Characteristics

3. Machine Learning Market Trends And Strategies

4. Machine Learning Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Covid And Recovery On The Market

5. Global Machine Learning Growth Analysis And Strategic Analysis Framework

• 5.1. Global Machine Learning PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
• 5.2. Analysis Of End Use Industries
• 5.3. Global Machine Learning Market Growth Rate Analysis
• 5.4. Global Machine Learning Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
• 5.5. Global Machine Learning Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
• 5.6. Global Machine Learning Total Addressable Market (TAM)

6. Machine Learning Market Segmentation

• 6.1. Global Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Hardware
• Software
• 6.2. Global Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Cloud
• On-Premises
• 6.3. Global Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Large Enterprises
• Small And Medium Enterprise
• 6.4. Global Machine Learning Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Healthcare
• Retail
• BFSI
• Manufacturing
• IT And Telecom
• Energy And Utilities
• Agriculture
• Automotive
• Marketing And Advertising
• 6.5. Global Machine Learning Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Graphics Processing Units (GPUs)
• Application-Specific Integrated Circuits (ASICs)
• Field Programmable Gate Arrays (FPGAs)
• Central Processing Units (CPUs)
• Memory And Storage Devices
• 6.6. Global Machine Learning Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Machine Learning Frameworks And Libraries
• Data Processing And Analytics Tools
• Model Development Platforms
• Deployment And Integration Software
• Pre-Built AI Solutions

7. Machine Learning Market Regional And Country Analysis

• 7.1. Global Machine Learning Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 7.2. Global Machine Learning Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Machine Learning Market

• 8.1. Asia-Pacific Machine Learning Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 8.2. Asia-Pacific Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 8.3. Asia-Pacific Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 8.4. Asia-Pacific Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Machine Learning Market

• 9.1. China Machine Learning Market Overview
• 9.2. China Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
• 9.3. China Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
• 9.4. China Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Machine Learning Market

• 10.1. India Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 10.2. India Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 10.3. India Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Machine Learning Market

• 11.1. Japan Machine Learning Market Overview
• 11.2. Japan Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 11.3. Japan Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 11.4. Japan Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Machine Learning Market

• 12.1. Australia Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 12.2. Australia Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 12.3. Australia Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Machine Learning Market

• 13.1. Indonesia Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 13.2. Indonesia Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 13.3. Indonesia Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Machine Learning Market

• 14.1. South Korea Machine Learning Market Overview
• 14.2. South Korea Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 14.3. South Korea Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 14.4. South Korea Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Machine Learning Market

• 15.1. Western Europe Machine Learning Market Overview
• 15.2. Western Europe Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 15.3. Western Europe Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 15.4. Western Europe Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Machine Learning Market

• 16.1. UK Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 16.2. UK Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 16.3. UK Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Machine Learning Market

• 17.1. Germany Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 17.2. Germany Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 17.3. Germany Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Machine Learning Market

• 18.1. France Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 18.2. France Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 18.3. France Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Machine Learning Market

• 19.1. Italy Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 19.2. Italy Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 19.3. Italy Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Machine Learning Market

• 20.1. Spain Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 20.2. Spain Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 20.3. Spain Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Machine Learning Market

• 21.1. Eastern Europe Machine Learning Market Overview
• 21.2. Eastern Europe Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 21.3. Eastern Europe Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 21.4. Eastern Europe Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Machine Learning Market

• 22.1. Russia Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 22.2. Russia Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 22.3. Russia Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Machine Learning Market

• 23.1. North America Machine Learning Market Overview
• 23.2. North America Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 23.3. North America Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 23.4. North America Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Machine Learning Market

• 24.1. USA Machine Learning Market Overview
• 24.2. USA Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 24.3. USA Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 24.4. USA Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Machine Learning Market

• 25.1. Canada Machine Learning Market Overview
• 25.2. Canada Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 25.3. Canada Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 25.4. Canada Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Machine Learning Market

• 26.1. South America Machine Learning Market Overview
• 26.2. South America Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 26.3. South America Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 26.4. South America Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Machine Learning Market

• 27.1. Brazil Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 27.2. Brazil Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 27.3. Brazil Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Machine Learning Market

• 28.1. Middle East Machine Learning Market Overview
• 28.2. Middle East Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 28.3. Middle East Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 28.4. Middle East Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Machine Learning Market

• 29.1. Africa Machine Learning Market Overview
• 29.2. Africa Machine Learning Market, Segmentation By Component Outlook, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 29.3. Africa Machine Learning Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 29.4. Africa Machine Learning Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Machine Learning Market Competitive Landscape And Company Profiles

• 30.1. Machine Learning Market Competitive Landscape
• 30.2. Machine Learning Market Company Profiles
  • 30.2.1. Google Inc. Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.2. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.3. Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.4. International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.5. SAP SE Overview, Products and Services, Strategy and Financial Analysis

31. Machine Learning Market Other Major And Innovative Companies

• 31.1. Hewlett Packard Enterprise Development LP
• 31.2. Baidu Inc.
• 31.3. Intel Corporation
• 31.4. SAS Institute Inc.
• 31.5. Fair Isaac Corporation
• 31.6. Alteryx
• 31.7. Dataiku
• 31.8. H2o.AI
• 31.9. KNIME.com AG
• 31.10. Alpine Data
• 31.11. Peltarion
• 31.12. RapidMiner Inc.
• 31.13. BigML Inc.
• 31.14. Luminoso Technologies Inc.
• 31.15. Turing Analytics

32. Global Machine Learning Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Machine Learning Market

34. Recent Developments In The Machine Learning Market

35. Machine Learning Market High Potential Countries, Segments and Strategies

• 35.1 Machine Learning Market In 2029 - Countries Offering Most New Opportunities
• 35.2 Machine Learning Market In 2029 - Segments Offering Most New Opportunities
• 35.3 Machine Learning Market In 2029 - Growth Strategies
  • 35.3.1 Market Trend Based Strategies
  • 35.3.2 Competitor Strategies

36. Appendix

• 36.1. Abbreviations
• 36.2. Currencies
• 36.3. Historic And Forecast Inflation Rates
• 36.4. Research Inquiries
• 36.5. The Business Research Company
• 36.6. Copyright And Disclaimer

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