查看購物車
  • Simplified Chinese
  • English
  • Japanese
封面
市場調查報告書
商品編碼
1847605

2025年全球機器學習市場報告

Machine Learning Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10個工作天內

價格
簡介目錄

近年來，機器學習市場呈指數級成長，從2024年的688.8億美元成長到2025年的937.3億美元，複合年成長率高達36.1%。這段歷史時期的成長可歸因於演算法的進步、資料可用性的提升、運算能力的提升、產業的採用和整合，以及物聯網和邊緣運算的融合。

預計未來幾年機器學習市場將呈指數級成長，到2029年將達到3,258億美元，複合年成長率為36.5%。預測期內的成長主要源於對可解釋性和倫理人工智慧的擔憂、資料的指數級成長、邊緣運算的擴展、人工智慧和機器學習日益融合以及全球對預測分析的需求。預測期內的主要趨勢包括持續的演算法創新、巨量資料技術的興起、自動化機器學習 (AutoML)、聯邦學習、機器學習與其他技術的融合以及特定產業的機器學習解決方案。

機器學習是人工智慧的一個分支，其核心在於創建演算法，使電腦能夠從資料中學習、識別模式，並在無需明確編程的情況下產生預測和決策。其核心目標是開發強調自主學習和適應能力的模型，並隨著接觸更多資訊而不斷提升其表現。

機器學習的主要組成部分包括硬體和軟體。硬體工具涵蓋針對建築、製造和電子等不同行業中的特定任務或功能而客製化的實體設備或裝置。這些工具有助於處理大型資料集和複雜的神經網路架構，從而提高機器學習應用程式的效能和可擴展性。機器學習既可以部署在雲端，也可以部署在本地，以滿足大型企業和中小型企業的需求。它廣泛應用於各個領域，包括醫療保健、零售、銀行、金融服務和保險 (BFSI)、製造、IT 和通訊、能源和公共、農業、汽車以及行銷和廣告。

2025 年春季美國突然提高關稅以及由此引發的貿易摩擦對資訊科技產業產生了重大影響，尤其是硬體製造、資料基礎設施和軟體部署。對進口半導體、電路基板和網路設備徵收更高的關稅，並推高了高科技公司、雲端服務供應商和資料中心的生產和營運成本。在全球範圍內採購筆記型電腦、伺服器和消費電子產品零件的公司面臨更長的前置作業時間和價格上漲的壓力。同時，對專業軟體徵收的關稅以及主要國際市場的報復性措施擾亂了全球 IT 供應鏈，減少了海外對美國製造技術的需求。作為應對措施，該行業正在增加對國內晶片生產的投資，擴大供應商網路，並利用人工智慧驅動的自動化來提高彈性並更有效地管理成本。

機器學習市場研究報告是商業研究公司最新報告系列的一部分，該系列提供機器學習市場統計數據，例如全球市場規模、區域佔有率、機器學習市場佔有率的競爭對手、詳細的機器學習細分市場、市場趨勢以及機器學習行業的商機。這份機器學習市場研究報告對該行業的現狀和未來情況進行了詳細分析，為您提供所需的一切資訊的完整觀點。

未來五年36.5%的成長預測比我們先前的預測略有下降0.2%。這一下降主要源自於美國與其他國家之間關稅的影響。由於進口GPU加速器和AI訓練基礎設施的關稅，機器學習應用的運算速度可能下降，成本可能上升。由於互惠關稅以及貿易緊張局勢和限制措施升級對全球經濟和貿易的負面影響，這種影響也將更加廣泛。

預計雲端基礎平台的日益普及將推動機器學習市場的成長。雲端基礎平台透過網際網路提供運算服務和資源，使用戶無需實體基礎設施或硬體即可存取應用程式、儲存和處理能力。這些平台不僅允許多個用戶同時處理計劃，從而促進協作，還能與其他雲端服務無縫整合。據英國政府機構Ofcom稱，預計2022年，英國雲端基礎設施市場規模將達到約70億至75億英鎊。此外，41.4%的全球高科技公司和商業領袖計劃在2023年增加對雲端基礎服務和產品的投資，凸顯了雲端技術在推動機器學習市場成長方面發揮的關鍵作用。

機器學習市場的主要參與者正專注於自動化機器學習工具，以簡化和自動化機器學習過程。這些工具旨在自動化模型選擇、訓練和配置，使機器學習專業知識有限的個人和組織也可以使用它們。總部位於新加坡的金融科技公司 AND Solutions Pte Ltd. 於 2023 年 4 月推出其 NIKO AutoML 平台，體現了這一趨勢。 NIKO AutoML 是一種創新的機器學習工具，旨在簡化和加速預測模型的建立。該平台提供方便用戶使用的介面，指導用戶完成流程的每個步驟，並與傳統方法相比在很短的時間內提供最佳結果。 NIKO AutoML 的主要優勢包括快速且準確的模型建立、簡化的工作流程、提高生產力和成本效益。

2023年5月，德國半導體製造商英飛凌科技股份公司邁出策略性一步，收購了Imagimob AB，收購金額未揭露。此次收購鞏固了英飛凌科技股份公司作為機器學習解決方案領先供應商的地位，並顯著擴展了其人工智慧 (AI) 產品組合。 Imagimob AB總部位於瑞典，專注於為邊緣設備提供機器學習模型開發平台，以因應機器學習產業邊緣運算日益成長的趨勢。

機器學習市場報告中的主要企業包括Google公司、微軟公司、亞馬遜網路服務公司、國際商業機器公司、SAP SE、惠普企業發展有限公司、百度公司、英特爾公司、SAS 研究所、Fair Isaac 公司、Alteryx、Dataiku、H2o.AI、KNIME.com AG、Alpine DataLuPeltarion、Rapid Analytics、Peltar、Rapid。

2024年，北美將成為機器學習市場最大的地區。預計歐洲將成為預測期內成長最快的地區。機器學習市場報告涵蓋以下地區：亞太地區、西歐、中歐和東歐、北美、南美以及中東和非洲。

機器學習市場報告涵蓋的國家有澳洲、巴西、中國、法國、德國、印度、印尼、日本、俄羅斯、韓國、英國、美國、加拿大、義大利和西班牙。

機器學習市場涵蓋營業單位透過預測分析、自然語言處理、影像和影片辨識、語音辨識、建議系統和異常檢測產生的收益。市場價值還包括服務供應商銷售或包含在其服務產品中的相關產品的價值。機器學習市場包括圖形處理單元 (GPU)、專用積體電路、邊緣 AI 處理器等的銷售。該市場的價值是指“出廠價”，即商品製造商或創造者銷售給其他營業單位（包括下游製造商、批發商、經銷商和零售商）或直接銷售給最終客戶的商品價值。該市場中的商品價值還包括商品創造者銷售的任何相關服務。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場：宏觀經濟情景，包括利率、通膨、地緣政治、貿易戰和關稅，以及新冠疫情和復甦對市場的影響

第5章 全球成長分析與策略分析框架

  • 全球機器學習：PESTEL分析（政治、社會、科技、環境、法律因素、促進因素與限制因素）
  • 最終用途產業分析
  • 全球機器學習市場：成長率分析
  • 全球機器學習市場表現：規模與成長，2019-2024
  • 全球機器學習市場預測：2024-2029 年及 2034 年規模與成長
  • 全球機器學習：總潛在市場（TAM）

第6章 市場細分

  • 全球機器學習市場（按組成部分）：展望、表現和預測（2019-2024 年、2024-2029 年及 2034 年）
  • 硬體
  • 軟體
  • 全球機器學習市場：按部署、效能和預測，2019-2024 年、2024-2029 年、2034 年
  • 雲
  • 本地部署
  • 全球機器學習市場：按類型、性能和預測，2019-2024 年、2024-2029 年、2034 年
  • 主要企業
  • 小型企業
  • 全球機器學習市場：按最終用戶、實際結果和預測，2019-2024 年、2024-2029 年、2034 年
  • 衛生保健
  • 零售
  • BFSI
  • 製造業
  • 資訊科技和通訊
  • 能源和公共產業
  • 農業
  • 車
  • 行銷和廣告
  • 全球機器學習市場：按硬體（類型）細分，實際及預測，2019-2024 年、2024-2029 年、2034 年
  • 圖形處理單元（GPU）
  • 專用積體電路（ASIC）
  • 現場可程式閘陣列（FPGA）
  • 中央處理器（CPU）
  • 記憶體和儲存設備
  • 全球機器學習市場：依軟體類型細分，實際及預測，2019-2024 年、2024-2029 年、2034 年
  • 機器學習框架和函式庫
  • 資料處理與分析工具
  • 模型開發平台
  • 部署和整合軟體
  • 預先建置的 AI 解決方案

第7章 區域和國家分析

  • 全球機器學習市場：區域表現與預測（2019-2024 年、2024-2029 年及 2034 年）
  • 全球機器學習市場：依國家、表現及預測，2019-2024 年、2024-2029 年、2034 年

第8章 亞太市場

第9章：中國市場

第10章 印度市場

第11章 日本市場

第12章：澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章：西歐市場

第16章英國市場

第17章：德國市場

第18章：法國市場

第19章：義大利市場

第20章：西班牙市場

第21章 東歐市場

第22章：俄羅斯市場

第23章 北美市場

第24章美國市場

第25章：加拿大市場

第26章 南美洲市場

第27章：巴西市場

第28章 中東市場

第29章：非洲市場

第30章：競爭格局與公司概況

  • 機器學習市場：競爭格局
  • 機器學習市場：公司簡介
    • 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

第31章：其他領先和創新企業

  • 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

第 32 章全球市場競爭基準化分析與儀表板

第33章 重大併購

第34章近期市場趨勢

第 35 章：高潛力市場國家、細分市場與策略

  • 2029 年機器學習市場：提供新機會的國家
  • 2029 年機器學習市場：細分領域帶來新機會
  • 2029 年機器學習市場：成長策略
    • 基於市場趨勢的策略
    • 競爭對手策略

第36章 附錄

簡介目錄
Product Code: r28442u

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.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp rise in U.S. tariffs and the ensuing trade tensions in spring 2025 are having a significant impact on the information technology sector, especially in hardware manufacturing, data infrastructure, and software deployment. Increased duties on imported semiconductors, circuit boards, and networking equipment have driven up production and operating costs for tech companies, cloud service providers, and data centers. Firms that depend on globally sourced components for laptops, servers, and consumer electronics are grappling with extended lead times and mounting pricing pressures. At the same time, tariffs on specialized software and retaliatory actions by key international markets have disrupted global IT supply chains and dampened foreign demand for U.S.-made technologies. In response, the sector is ramping up investments in domestic chip production, broadening its supplier network, and leveraging AI-powered automation to improve resilience and manage costs more effectively.

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 $93.73 billion in 2025 at a compound annual growth rate (CAGR) of 36.1%. 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 $325.8 billion in 2029 at a compound annual growth rate (CAGR) of 36.5%. 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 forecast of 36.5% growth over the next five years reflects a slight reduction of 0.2% from the previous projection. This reduction is primarily due to the impact of tariffs between the US and other countries. Machine learning applications may face computational slowdowns and cost hikes due to tariffs on imported GPU accelerators and AI training infrastructure. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

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.

Reasons to Purchase

  • Gain a truly global perspective with the most comprehensive report available on this market covering 15 geographies.
  • Assess the impact of key macro factors such as geopolitical conflicts, trade policies and tariffs, post-pandemic supply chain realignment, inflation and interest rate fluctuations, and evolving regulatory landscapes.
  • Create regional and country strategies on the basis of local data and analysis.
  • Identify growth segments for investment.
  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on the latest market shares.
  • Benchmark performance against key competitors.
  • Suitable for supporting your internal and external presentations with reliable high quality data and analysis
  • Report will be updated with the latest data and delivered to you within 2-3 working days of order along with an Excel data sheet for easy data extraction and analysis.
  • All data from the report will also be delivered in an excel dashboard format.

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, including technological disruption, regulatory shifts, and changing consumer preferences? 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 technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

  • 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.
  • 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; 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
  • 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, Trade Wars and Tariffs, And Covid And Recovery On The Market

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

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