Marché mondial de l’apprentissage automatique en tant que service (MLaaS) – Tendances et prévisions du secteur jusqu’en 2028

Analyse du marché et perspectives du marché de l'apprentissage automatique en tant que service (MLaaS)

Le besoin croissant de comprendre le comportement des clients, l'adoption croissante des solutions d'apprentissage automatique en tant que service (MLaaS) par les petites et moyennes organisations et l'intérêt croissant porté aux avancées technologiques en matière de science des données sont les principaux facteurs attribuables à la croissance du marché de l'apprentissage automatique en tant que service (MLaaS). Data Bridge Market Research analyse que le marché de l'apprentissage automatique en tant que service (MLaaS) affichera un TCAC de 41,31 % pour la période de prévision 2021-2028. Cela signifie que le marché de l'apprentissage automatique en tant que service (MLaaS) atteindrait une valeur marchande de 38,81 milliards USD d'ici 2028.

L'apprentissage automatique en tant que service (MLaaS) est considéré comme une sous-catégorie des services de cloud computing. L'apprentissage automatique en tant que service (MLaaS) est un ensemble de services qui offre une large gamme d'outils et de composants d'apprentissage automatique pour effectuer des opérations avec une plus grande efficacité.

La demande croissante en matière de technologie de l'Internet des objets (IoT) deviendra le principal facteur de croissance du marché. Les progrès croissants de la technologie de l'intelligence artificielle aggraveront encore la croissance du marché. La croissance de l'adoption de solutions basées sur le cloud par les entreprises de services financiers et d'assurance (BFSI), les investissements croissants du secteur de la santé et l'augmentation de la demande d'excellence opérationnelle sont d'autres facteurs qui stimulent la croissance du marché.

Cependant, les réglementations gouvernementales strictes en matière de conformité et de directives constitueront un frein à la croissance du marché. Le manque de personnel qualifié ou d’expertise formée et d’infrastructures informatiques adéquates dans les économies en développement et sous-développées freinera une fois de plus le taux de croissance du marché. Les problèmes de sécurité et de confidentialité des données constitueront également un défi à la croissance du marché.

This machine learning as a service (MLaaS) market report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localised market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographical expansions, technological innovations in the market. To gain more info on machine learning as a service (MLaaS) market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.

Global Machine Learning as a Service (MLaaS) Market Scope and Market Size

The machine learning as a service (MLaaS) market is segmented on the basis of component, application, organization size and end user. The growth amongst the different segments helps you in attaining the knowledge related to the different growth factors expected to be prevalent throughout the market and formulate different strategies to help identify core application areas and the difference in your target market.

• By the component, the machine learning as a service (MLaaS) market is segmented into software tools and services. Software tools segment is sub-segmented into data storage and archiving, modeller and processing, multiplayer perceptron, K-nearest neighbours, decision tree, support vector regressions, cloud and web-based application, programming pnterface, model validator, decision report and report storage. Services segment is sub-segmented into professional services and managed services.
• Based on application, the machine learning as a service (MLaaS) market is segmented into marketing and advertising, fraud detection and risk analytics, predictive maintenance, augmented reality, network analytics and automated traffic management and others.
• On the basis of organization size, the machine learning as a service (MLaaS) market has been segmented into small and medium enterprises and large enterprises.
• On the basis of end user, the machine learning as a service (MLaaS) market is segmented into education, banking and financial services, insurance, automation and transportation, healthcare, defense, retail, e-commerce, media and entertainment, telecom, government, aerospace and others.

Machine Learning as a Service (MLaaS) Market Country Level Analysis

The machine learning as a service (MLaaS) market is analysed and market size, volume information is provided by country, component, application, organization size and end user as referenced above.

The countries covered in the machine learning as a service (MLaaS) market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, Israel, Egypt, South Africa, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.

North America dominates the machine learning as a service (MLaaS) market and will continue to flourish its trend of dominance during the forecast period owing to the rising adoption of cloud based solutions by small and medium scale enterprises. Asia-Pacific will however, register the highest CAGR for this period. This is because of the increased penetration of machine learning technology and sustainable growth of IT sector in the region.

The country section of the machine learning as a service (MLaaS) market report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points such as consumption volumes, production sites and volumes, import export analysis, price trend analysis, cost of raw materials, down-stream and upstream value chain analysis are some of the major pointers used to forecast the market scenario for individual countries. Also, presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.

Competitive Landscape and Machine Learning as a Service (MLaaS) Market Share Analysis

The machine learning as a service (MLaaS) market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies’ focus related to machine learning as a service (MLaaS) market.

Les principaux acteurs couverts dans le rapport sur le marché de l'apprentissage automatique en tant que service (MLaaS) sont Google LLC, IBM, Microsoft, SAS Institute Inc., Amazon Web Services, Inc., BigML, Inc., FICO., Hewlett Packard Enterprise Development LP, AT&T Intellectual Property,, Yottamine Analytics Inc., PurePredictive, Inc, H2O.ai., Tamr, PREDICTRON LABS, LogDNA, DeepMind Technologies Limited, Figure Eight Federal Inc., Amplero, Inc. et Darktrace, entre autres acteurs nationaux et mondiaux. Les données sur les parts de marché sont disponibles séparément pour le monde, l'Amérique du Nord, l'Europe, l'Asie-Pacifique (APAC), le Moyen-Orient et l'Afrique (MEA) et l'Amérique du Sud. Les analystes de DBMR comprennent les atouts concurrentiels et fournissent une analyse concurrentielle pour chaque concurrent séparément.

SKU-15255