Le marché de l'apprentissage automatique devrait passer de 1 582,9 millions de dollars américains en 2017 à 39 986,7 millions de dollars américains d'ici 2025 ; on estime qu'il connaîtra une croissance à un TCAC de 49,7 % entre 2017 et 2025.
La disponibilité d'une quantité massive de données est attribuée à la croissance du marché. La disponibilité dune quantité massive de données provenant de différentes sources de données est lune des principales raisons qui ont alimenté la croissance de la technologie dapprentissage automatique. Cette énorme augmentation de la quantité de données, de façon exponentielle dannée en année, est due à la prolifération de capteurs mesurant une grande quantité de données selon différents paramètres. De même, avec les progrès de lIoT, qui ont permis la connectivité Internet à une large gamme dappareils dotés dune technologie intégrée pour communiquer et interagir avec lenvironnement externe, le nombre dappareils connectés augmente de façon exponentielle. Ces appareils connectés communiquent et génèrent en permanence une quantité colossale de données chaque seconde.
De plus, avec les progrès de la technologie informatique et de stockage, la puissance de calcul a été multipliée par plusieurs au cours de la dernière décennie. Cela a créé de nouvelles capacités de gestion et de calcul de grands ensembles de données et, associé à la technologie d'apprentissage automatique, a fourni les meilleures informations aux entreprises.
Régions lucratives sur le marché de l'apprentissage automatique
Aperçu du marché - Marché de l'apprentissage automatique
Adoption de l'automatisation des processus robotiques
La demande croissante d'apprentissage automatique est alignée sur la progression du marché mondial du (RPA). Cela est principalement dû au fait que la RPA, ainsi que dautres perturbateurs numériques comprenant le travail numérique et lautomatisation avancée des logiciels, devraient stimuler de manière significative la nouvelle génération dinstallations basées sur le cloud offrant une main-duvre virtuelle. En outre, l'apprentissage automatique activé par la RPA devrait également faire évoluer les services commerciaux vers l'élimination de la main-d'uvre à partir d'une réduction de la main-d'uvre à grande échelle et partagée, accompagnée d'une réduction substantielle des coûts.
Informations basées sur les solutions
Basé sur les solutions, le marché du machine learning est segmenté en services logiciels. Le segment des logiciels détenait la plus grande part de marché en 2016.
Aperçus stratégiques
Les acteurs opérant sur le marché de l'apprentissage automatique se concentrent principalement sur le développement de produits avancés et efficaces.
- En 2017, Amazon Web Services a lancé une nouvelle région AWS UE (Paris). Cela permet aux utilisateurs d'exécuter les applications et de stocker le contenu dans les centres de données disponibles en France. AWS dispose également de 49 zones de disponibilité dans ses 18 régions d'infrastructure technologique.
- En 2017, FICO s'est alliée avec UBS Card Center (Suisse) pour mettre fin à la fraude à l'aide de l'IA et de l'apprentissage automatique. Le défi a été résolu avec l'aide de FICO Falcon Platform, la principale solution de fraude à la carte en protégeant 2,6 milliards de cartes de paiement.
Le marché de l'apprentissage automatique a été segmenté comme suit :
Marché du machine learning par solution
- Logiciels
- Services
Marché du machine learning par type de déploiement
- Cloud/MLaaS
- Sur site
Marché du machine learning par utilisateur final
- BFSI < ul>
- Gestion de la fraude et des risques
- Analyse prédictive des clients
- Trading par algorithmes
- Autres
- Expérience et connaissance client
- Planification de l'offre et de la demande
- Autres
- Systèmes de diagnostic et de traitement
- Analyse et diagnostic d'images
- Autres
- Maintenance prédictive
- Gestion de la chaîne d'approvisionnement
- Fraude et paiements irréguliers
- Sûreté et sécurité publiques
Marché de l'apprentissage automatique - par géographie
- Amérique du Nord
- États-Unis< /li>
- Canada
- Mexique
- Europe
- France
- Allemagne
- Italie
- Espagne
- Royaume-Uni
- Asie-Pacifique (APAC)
- Japon
- Chine
- Australie
- Inde
- Moyen-Orient et Afrique (MEA)
- Arabie saoudite Arabie
- EAU
- Afrique du Sud
- Amérique du Sud (SAM)
- Brésil
< /ul>
Marché de l'apprentissage automatique - Profils d'entreprises
- 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
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
This text is related
to segments covered.
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
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.
- 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.
- 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:
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.
- 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.
- 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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