Markt für maschinelles Lernen – Erkenntnisse aus globaler und regionaler Analyse – Prognose bis 2031

  • Report Code : TIPTE100000804
  • Category : Technology, Media and Telecommunications
  • Status : Published
  • No. of Pages : 221
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Der Markt für maschinelles Lernen wird voraussichtlich von 1.582,9 Millionen US-Dollar im Jahr 2017 auf 39.986,7 Millionen US-Dollar im Jahr 2025 wachsen; Von 2017 bis 2025 wird ein durchschnittliches jährliches Wachstum von 49,7 % erwartet.



Die Verfügbarkeit riesiger Datenmengen trägt zum Wachstum des Marktes bei. Die Verfügbarkeit riesiger Datenmengen aus verschiedenen Datenquellen ist einer der Hauptgründe für das Wachstum der maschinellen Lerntechnologie. Dieser enorme Anstieg der von Jahr zu Jahr exponentiell wachsenden Datenmenge ist auf die zunehmende Verbreitung von Sensoren zurückzuführen, die große Datenmengen bei unterschiedlichen Parametern messen. Mit der Weiterentwicklung des IoT, das eine Internetverbindung zu einer Vielzahl von Geräten mit eingebetteter Technologie ermöglicht, um mit der externen Umgebung zu kommunizieren und zu interagieren, nimmt die Zahl der angeschlossenen Geräte ebenfalls exponentiell zu. Diese verbundenen Geräte kommunizieren und erzeugen kontinuierlich jede Sekunde riesige Datenmengen.



Außerdem hat sich mit der Weiterentwicklung der Computer- und Speichertechnologie die Rechenleistung im letzten Jahrzehnt um ein Vielfaches erhöht. Dies hat neue Möglichkeiten für die Verwaltung und Berechnung großer Datenmengen geschaffen und in Verbindung mit der Technologie des maschinellen Lernens den Unternehmen die besten Erkenntnisse geliefert.



Lukrative Regionen im Markt für maschinelles Lernen



Markteinblicke – Markt für maschinelles Lernen



Einführung der robotergestützten Prozessautomatisierung



Die steigende Nachfrage nach maschinellem Lernen steht im Einklang mit der Entwicklung des globalen Marktes für (RPA). Dies liegt vor allem daran, dass RPA zusammen mit anderen digitalen Disruptoren, darunter digitale Arbeitskräfte und fortschrittliche Softwareautomatisierung, voraussichtlich die neue Generation cloudbasierter Einrichtungen, die virtuelle Arbeitskräfte anbieten, erheblich vorantreiben wird. Darüber hinaus wird erwartet, dass das RPA-gestützte maschinelle Lernen auch dazu führen wird, dass die Unternehmensdienstleistungen Arbeitskräfte eliminieren, anstatt sie in großem Maßstab und gemeinsam genutztem Maßstab zu reduzieren, was mit einer erheblichen Kostensenkung einhergeht.



Lösungsbasierte Erkenntnisse



Basierend auf der Lösung wird der Markt für maschinelles Lernen in Softwaredienste segmentiert. Das Softwaresegment hielt 2016 den größten Marktanteil.



Strategische Erkenntnisse



Die auf dem Markt für maschinelles Lernen tätigen Akteure konzentrieren sich hauptsächlich auf die Entwicklung fortschrittlicher und effizienter Produkte.




  • Im Jahr 2017 hat Amazon Web Services eine neue AWS-Region EU (Paris) eingeführt. Dadurch können Benutzer die Anwendungen ausführen und Inhalte in in Frankreich verfügbaren Rechenzentren speichern. AWS verfügt außerdem über 49 Availability Zones in seinen 18 Technologie-Infrastrukturregionen.

  • Im Jahr 2017 schloss FICO eine Allianz mit UBS Card Center (Schweiz), um Betrug mithilfe von KI und maschinellem Lernen zu stoppen. Die Herausforderung wurde mithilfe der FICO Falcon Platform gelöst, der führenden Lösung für Kartenbetrug, die 2,6 Milliarden Zahlungskarten schützt.


Der Markt für maschinelles Lernen wurde wie folgt segmentiert:



Markt für maschinelles Lernen – nach Lösung




  • Software

  • Dienste


Markt für maschinelles Lernen – nach Bereitstellungstyp




  • Cloud/MLaaS

  • On-Premises


Markt für maschinelles Lernen – nach Endbenutzer




  • BFSI < ul>
  • Betrugs- und Risikomanagement

  • Predictive Customer Analytics

  • Algorithmushandel

  • Andere



  • Einzelhandel

    • Kundenerfahrung und Einblicke

    • Angebots- und Nachfrageplanung

    • Andere



  • Gesundheitswesen

    • Diagnose- und Behandlungssysteme

    • Bildanalyse und Diagnose

    • Sonstiges



  • Fertigung

    • Vorausschauende Wartung

    • Lieferkettenmanagement



  • Regierung

    • Betrug und unzulässige Zahlungen

    • Öffentliche Sicherheit


  • Andere


  • Markt für maschinelles Lernen – nach Geografie




    • Nordamerika

      • USA< /li>
      • Kanada

      • Mexiko



    • Europa

      • Frankreich

      • Deutschland

      • Italien

      • Spanien

      • Großbritannien



    • Asien-Pazifik (APAC)

      • Japan
      • China

      • Australien

      • Indien



    • Naher Osten und Afrika (MEA)

      • Saudi Arabien

      • VAE

      • Südafrika



    • Südamerika (SAM)

      • Brasilien

      • < /ul>



      Markt für maschinelles Lernen – Unternehmensprofile




      • Amazon Web Services, Inc.

      • BigML, Inc.

      • Fair Isaac Corporation

      • Google Inc.

      • H2O.ai

      • Hewlett Packard Enterprise

      • IBM Corporation

      • Microsoft Corporation

      • SAP SE

      • SAS Institute Inc.


    Report Coverage
    Report Coverage

    Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends

    Segment Covered
    Segment Covered

    This text is related
    to segments covered.

    Regional Scope
    Regional Scope

    North America, Europe, Asia Pacific, Middle East & Africa, South & Central America

    Country Scope
    Country Scope

    This text is related
    to country scope.

    The List of Companies - Machine Learning Market

    1. Amazon Web Services, Inc.
    2. Fair Isaac Corporation
    3. Google, Inc.
    4. Hewlett Packard Enterprise
    5. IBM Corporation
    6. Microsoft Corporation
    7. SAP SE
    8. BigML, Inc.
    9. H2O.ai
    10. SAS Institute Inc.

    The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.

    1. Data Collection and Secondary Research:

    As a market research and consulting firm operating from a decade, we have published and advised several client across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.

    Several associations trade associates, technical forums, institutes, societies and organization are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in last 3 years are scrutinized and analyzed to understand the current market trends.

    1. Primary Research:

    The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.

    For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.

    A typical research interview fulfils the following functions:

    • Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
    • Validates and strengthens in-house secondary research findings
    • Develops the analysis team’s expertise and market understanding

    Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:

    • Industry participants: VPs, business development managers, market intelligence managers and national sales managers
    • Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.

    Below is the breakup of our primary respondents by company, designation, and region:

    Research Methodology

    Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.

    1. Data Analysis:

    Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.

    • Macro-Economic Factor Analysis:

    We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.

    • Country Level Data:

    Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.

    • Company Profile:

    The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.

    • Developing Base Number:

    Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.

    1. Data Triangulation and Final Review:

    The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.

    We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.

    We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.

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