Global Machine Learning Market
                     Global Machine Learning Market
2019 – 2026  
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Global Machine Learning Market is Estimated to Reach 
$33,517 Million By 2026, Says Accurize Market Research
Global Machine Learning Market Report, published by 
Accurize Market Research, forecast that the global market is 
expected to reach $33,517 Million by 2026 from $1,900 
Million in 2018; growing at a CAGR of 44% from 2019 to 
2026. North America dominated the global machine learning 
market in 2018, and anticipated to hold the major market 
share till 2026. In terms of growth, Asia-Pacific is anticipated 
to attain the fastest compound annual growth rate (CAGR) 
during 2019 – 2026.
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Market Introduction and Market Dynamics
 Machine learning is a technology that provides computers with the 
ability to learn without being explicitly programmed and is focused 
on the development of computer programs that can automatically 
learn when exposed to new data. Instead of extracting data for 
human comprehension, it uses the data to improve the 
understanding of the program.
  The innovative technologies including IoT and big data are giving 
a new leash to the machine learning practices and are widely used 
with many technologies such as image recognition, speech 
recognition, face recognition, and risk and fraud detection 
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Market Introduction and Market Dynamics
 Some of the factors propelling the growth of the market include 
availability of massive amount of data, demand for superior 
consumer service and efficient operation, and proliferation in 
data generation. However, lack of skilled professionals and 
rising concerns regarding data security may hamper the market 
in the coming years.
 Further, increasing demand for intelligent business process and 
increasing adoption in modern application would provide several 
growth opportunities in forecasted years
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Market Segmentation and Crisp Analysis
The global machine learning market is segmented into 
solution, service, deployment, organization size, and 
industry vertical.
By solution, the market is classified into services and 
software. By services, the market is divided into professional 
services and managed services.
The deployment segment is further segmented into on-
premise and cloud-based.
By organization size, the classifications covered are large 
enterprise and small & medium enterprise.
By industry vertical, the market is divided into banking & 
financial services (BFSI), healthcare & life sciences, retail, 
telecommunication, government & defense, manufacturing, 
energy & utilities, and other (Includes Education, 
Agriculture, anCdo pMyrigehdt ©ia 2 0a1n9 Adc cEurnizet eMarrtkaeti nment).
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Market Segmentation and Crisp Analysis
Software dominated the solution segment accounting for more 
than 70% of the market share, as the market at present is 
perceiving increased demand, particularly from small & medium 
organizations, owing to intense competition for improvement of 
productivity and reduction of operational cost.
However, the services segment is anticipated to attain the fastest 
CAGR during the forecast period. Cloud-based dominated the 
deployment segment as it can minimize the complexities related 
to the setting up of the infrastructure and help in rapid innovation.
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Regional Segmentation and Crisp Analysis
By geography, the global machine learning market is segmented 
into North America, Europe, Asia-Pacific, and Rest of the World.
 The country-wise analysis has been also covered under the 
scope of the report.
 North America covers the U.S., Canada, and Mexico while 
Europe covers UK, Germany, France, Italy, and Rest of Europe.
 China, Japan, South Korea, and Rest of Asia-Pacific have been 
analyzed under the Asia-Pacific market.
 Rest of the world includes South America, the Middle East, and 
Africa. North America dominated the global market accounting 
for the largest market share with around 50% in 2018, owing to 
increased adoption of machine learning solutions.
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Regional Segmentation and Crisp Analysis
The region is largely backed by its ability to provide suitable 
infrastructure to the service providers and also by offering wide 
growth opportunity to the service providers through its rapidly 
expanding industries.
Asia-Pacific region is projected to attain the fastest CAGR of 45.4% 
from 2019 – 2026, as the region comprises of some considerably 
growing countries, which are highly supported by the government 
investments initiated for the development of artificial intelligence 
technology.
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Manufacturers Competitive Analysis
 Major companies operating in the market are IBM Corporation, SAP SE, SAS 
Institute Inc., Google, Inc., Microsoft Corporation, Baidu, Inc., Hewlett 
Packard Enterprise Development LP, Amazon Web Services Inc., Intel 
Corporation, and Oracle Corporation, among others.
 The machine learning market is highly competitive owing to the number of 
loyal brands present in the market.
 The few dominant players’ accounts for the majority of the market share. 
 Companies are frequently investing heavily in research & development to 
keep their proper market visibility and maintain profit margins.
 For instance, in April 2017, Alphabet Inc., a subsidiary company of Google 
Inc. has released its first machine learning chip “‘Tensor Processing Unit 
(TPU),” which helps in performing computationally intensive tasks, such as 
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Scope of the Report
The scope of the report covers in-depth analysis of the market in terms of 
both qualitative and quantitative analysis across the segments as well as 
cross-sectional analysis of the segments including the geographies and 
its countries.
 Key companies operating in this market and their company profile along 
with the market share analysis and competitive scenario is also the part 
of the report. 
Furthermore, different industries clients’ information has been provided in 
the report which is very important for the manufacturers. 
Manufacturers’ data, including: revenue, shipment, revenue share, 
shipment share, and gross profit have been also included, which provide 
better understandiCnopyRegse o
rigf htth ©e 2 m01a9 rAkcecutr iczeo Mmaprket arch etition.
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Our Expertise
Destined by the dedicated team of analysts and experts, we 
are envisioned to provide you our best in order to plan your 
next strategic across several industry verticals.
AMR has developed advanced analyst tools and data models 
to enhance and augment the analysis process. Corresponding 
to markets, where there is momentous lack of information and 
estimates, AMR’s team of experts and analyst practice specific 
analyst tools and industry models to translate qualitative and 
quantitative industry indicators into exact industry estimates.
These models also allow analysts to inspect the prospects and 
opportunities existing in the market to achieve specific 
forecast of the market.
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arning-marketR/easearch [email protected]
Our Expertise
Destined by the dedicated team of analysts and experts, we 
are envisioned to provide you our best in order to plan your 
next strategic across several industry verticals.
AMR has developed advanced analyst tools and data models 
to enhance and augment the analysis process.
Corresponding to markets, where there is momentous lack 
of information and estimates, AMR’s 
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