Description

A study by StrategyHelix indicates that the global machine learning market is expected to increase by US$ 105.9 billion from 2022 to 2028, garnering a CAGR of 34.1% during the forecast period.

The report provides up-to-date market size data for period 2018-2021 and forecast to 2028 covering key market aspects like sales value for machine learning. The global machine learning market is segmented on the basis of solution, deployment mode, organization size, end user, and region. Based on solution, the global machine learning market is categorized into services, software. Globally, the software segment made up the largest share of the machine learning market. On the basis of deployment mode, the global machine learning market has been segmented into on-premise, cloud. The cloud segment captured the largest share of the market in 2021. By organization size, the global machine learning market has been segmented into large enterprises, small and medium enterprises (SMEs). According to the research, the large enterprises segment had the largest share in the global machine learning market. Based upon end user, the global machine learning market is categorized into BFSI, energy and utilities, government and defense, healthcare and life sciences, IT and telecom, manufacturing, retail, others. The BFSI segment held the largest revenue share in 2021. In terms of geography, the global machine learning market has been segmented into Asia Pacific, Europe, North America, Rest of the World (RoW).

The global machine learning market is highly competitive. Some of the leading companies operating in the market are Alphabet Inc., Alteryx Inc., Amazon.com Inc., Baidu Inc., Fair Isaac Corporation, The Hewlett Packard Enterprise Company, IBM Corporation, Intel Corporation, MathWorks Inc., Microsoft Corporation, Oracle Corporation, SAP SE, SAS Institue Inc. Competitive landscape gives a description of the competitive nature of the global machine learning market and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.

The report is an invaluable resource for companies and organizations active in this industry. It provides a cohesive picture of the machine learning market to help drive informed decision making for industry executives, policy makers, academic, and analysts.

Report Scope

Solution: services, software
Deployment mode: on-premise, cloud
Organization size: large enterprises, small and medium enterprises (SMEs)
End user: BFSI, energy and utilities, government and defense, healthcare and life sciences, IT and telecom, manufacturing, retail, others
Region: Asia Pacific, Europe, North America, Rest of the World (RoW)
Years considered: this report covers the period 2018 to 2028
Company mentioned: Alphabet Inc., Alteryx Inc., Amazon.com Inc., Baidu Inc., Fair Isaac Corporation, The Hewlett Packard Enterprise Company, IBM Corporation, Intel Corporation, MathWorks Inc., Microsoft Corporation, Oracle Corporation, SAP SE, SAS Institue Inc.

Key Benefits for Stakeholders

– Get a comprehensive picture of the global machine learning market
– Pinpoint growth sectors and trends for investment

Table of Contents

Part 1. Introduction
– Scope of the study
– Study period
– Geographical scope
– Research methodology
Part 2. Machine learning market overview
Part 3. Market breakdown by solution
– Services
– Software
Part 4. Market breakdown by deployment mode
– On-premise
– Cloud
Part 5. Market breakdown by organization size
– Large enterprises
– Small and medium enterprises (SMEs)
Part 6. Market breakdown by end user
– BFSI
– Energy and utilities
– Government and defense
– Healthcare and life sciences
– IT and telecom
– Manufacturing
– Retail
– Others
Part 7. Market breakdown by region
– Asia Pacific
– Europe
– North America
– Rest of the World (RoW)
Part 8. Key companies
– Alphabet Inc.
– Alteryx Inc.
– Amazon.com Inc.
– Baidu, Inc.
– Fair Isaac Corporation
– The Hewlett Packard Enterprise Company
– IBM Corporation
– Intel Corporation
– MathWorks, Inc.
– Microsoft Corporation
– Oracle Corporation
– SAP SE
– SAS Institue Inc.
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