Market Definition

Machine learning as-a-service refers to several types of services which provide machine learning capabilities as a part of cloud-computing services. Machine learning as-a-service helps its customers to obtain advantage from machine learning without extra cost, risk and time for making an in-house internal machine learning team. MLaaS provides several advantages such as model evaluation, data pre-processing, model training and predications. Several service providers offer predictive analytics, API, deep learning, natural language processing, data visualization, etc. The key advantage which MLaaS provides to businesses is that it allows them to get started rapidly with machine learning without going through a tedious software installation process. Companies can stimulate their product abilities and offerings, enhance frequent business operation efficiency, make better interaction with consumers and use AI prediction capabilities.

Report Scope

The global market report scope consists of a comprehensive study covering primary factors impacting the industry trends. The study includes analysis of regional and country-level market dynamics. The scope also consists of competitive overview offering company market shares coupled with company profiles for key revenue contributing companies. The report scope covers a detailed competitive outlook covering market shares and profiles of key participants in the market share.

Major Market Players

The key competitors operating in the market are Google Inc., Hewlett Packard Enterprise, Microsoft Corporation, FICO, Predictron Labs Ltd., SAS Institute Inc., Yottamine Analytics, Amazon Web Services, BigML Inc., and IBM Corporation.

The Machine Learning as a Service (MLaaS) Market report has been categorized as below

By Component

●       Software

●       Services

By Organization Size

●       Large Enterprises

●       Small & Medium Enterprises

By Application

●       Marketing & Advertising

●       Fraud Detection & Risk Management

●       Predictive analytics

●       Augmented & Virtual reality

●       Natural Language processing

●       Computer vision

●       Security & surveillance

●       Others

By End User

●       Aerospace & Defense

●       IT & Telecom

●       Energy & Utilities

●       Public sector

●       Manufacturing

●       BFSI

●       Healthcare

●       Retail & Ecommerce

●       Others

By Region

●      North America

●      Europe

●      Asia Pacific

●      Rest of World

The years considered for the study are as follows:

●      Base year - 2020

●      Estimated year - 2021

●      Projected year – 2022

●      Forecast period - 2021 to 2027

Key Questions Addressed by the Report

●      New products/service competitors are exploring?

●      Key players in the Machine Learning as a Service (MLaaS) Market and how extreme is the competition?

●      What are the future market trends that manufacturers are emphasizing on in the future updates?

●      For each segment, what are the crucial opportunities in the market?

●      What are the key growth strategies embraced by key market players in the market?

●      What are the key success strategies adopted by major competitors in the market?

Why Buy this Report:

●      Obtain comprehensive insights on the Machine Learning as a Service (MLaaS) market trends

●      Note comprehensive analysis of the market status

●      Identifies the market opportunities and growth segments

●      Assessing business segments & product portfolios, and explain competitive dynamics

●      Provide strategy planning and industry dynamics to strengthen decision making

Report Content

1.     Global Machine Learning as a Service (MLaaS) Market Introduction

1.1.   Key Insights

1.2.  Report Overview

1.3.  Markets Covered

1.4. Stakeholders

2.    Research Methodology

2.1.  Research Scope

2.2. Market Research Process

2.3. Research Data Analysis

2.4. Market Size Estimation

3.    Executive Summary

 4.   Market Overview

4.1.     Introduction

4.2.    Market Drivers and Restraints

5.    By Component

5.1.     Key Points

5.2.    Software

5.3.    Services

6.   By Organization Size

6.1.     Key Points

6.2.    Large Enterprises

6.3.    Small & Medium Enterprises

7.    By Application

7.1.     Key Points

7.2.    Marketing & Advertising

7.3.    Fraud Detection & Risk Management

7.4.    Predictive analytics

7.5.     Augmented & Virtual reality

7.6.    Natural Language processing

7.7.     Computer vision

7.8.    Security & surveillance

7.9.    Others

8.   By End User

8.1.     Key Points

8.2.    Aerospace & Defense

8.3.    IT & Telecom

8.4.    Energy & Utilities

8.5.    Public sector

8.6.    Manufacturing

8.7.    BFSI

8.8.   Healthcare

8.9.    Retail & Ecommerce

8.10. Others

9.   By Region

9.1.     Key Points

9.2.    North America

9.3.    Europe

9.4.    Asia Pacific

9.5.    Rest of the World

10.    Company Profile

(Profile contain company overview, products/services, financials & recent developments)

10.1.  Google Inc.

10.2. Hewlett Packard Enterprise

10.3. Microsoft Corporation

10.4. FICO

10.5. Predictron Labs Ltd.

10.6. SAS Institute Inc.

10.7.  Yottamine Analytics

10.8. Amazon Web Services

10.9. BigML Inc.

10.10.  IBM Corporation.

By Component

●       Software

●       Services

By Organization Size

●       Large Enterprises

●       Small & Medium Enterprises

By Application

●       Marketing & Advertising

●       Fraud Detection & Risk Management

●       Predictive analytics

●       Augmented & Virtual reality

●       Natural Language processing

●       Computer vision

●       Security & surveillance

●       Others

By End User

●       Aerospace & Defense

●       IT & Telecom

●       Energy & Utilities

●       Public sector

●       Manufacturing

●       BFSI

●       Healthcare

●       Retail & Ecommerce

●       Others

By Region

●      North America

●      Europe

●      Asia Pacific

●      Rest of World

Licence Option

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  • Multiple User-
    5500 USD 3500 USD

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