Machine Learning as a Service Market Forecast to 2029 - Covid-19 Impact and Global Analysis

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GLOBAL MACHINE LEARNING AS A SERVICE MARKET RESEARCH REPORT, 2023-2029

Market Value:

• 2021 = USD 8.27 Billion

• 2028 = USD 69.71 Billion

• CAGR = 35.6 %

Date Published: February 2023

Publisher: Introspective Market Research

Annual Market Size and Forecast

Technological Roadmap & Regulatory Landscape

Analysis on type and applications

Industry Value Chain Analysis

Analysis on Major Trends

Key strategies by Top Market Players

Market Share Analysis 2021

MACHINE LEARNING AS A SERVICE MARKET www.introspectivemarketresearch.com IMR 2023
REPORT OUTCOMES

The Global Machine Learning as a Service Market Was Estimated At USD 8.27 Billion In 2021, And Is Projected To Reach USD 69.71 Billion By 2028, Growing At A CAGR Of 35.6% Over The Analysis Period.

Machine Learning as a Service (MLaaS) is a collection of cloud computing services that include machine learning tools. MLaaS enables clients to benefit from machine learning without incurring the associated cost, time, and risk of establishing an internal machine learning team. MLaaS can alleviate infrastructure concerns such as data pre-processing, model training, model evaluation, and, ultimately, predictions. Predictive analytics and deep learning, APIs, data visualization, natural language processing, and other tools are available from service providers. The computation aspect is handled by the data centers of the service provider.

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The latest research on the Machine Learning as a Service market provides a comprehensive overview of the market for the years 2022 to 2028. It gives a comprehensive picture of the global Machine Learning as a Service industry, considering all significant industry trends, market dynamics, competitive landscape, and market analysis tools such as Porter's five forces analysis, Industry Value chain analysis, and PESTEL analysis of the Machine Learning as a Service market. Moreover, the report includes significant chapters such as Patent Analysis, Regulatory Framework, Technology Roadmap, BCG Matrix, Heat Map Analysis, Price Trend Analysis, and Investment Analysis which help to understand the market direction and movement in the current and upcoming years. The report is designed to help readers find information and make decisions that will help them grow their businesses. The study is written with a specific goal in mind: to give business insights and consultancy to help customers make smart business decisions and achieve long-term success in their particular market areas.

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Key Industry Players in Machine Learning as a Service Market:

• Google LLC

• Amazon Web Services

• BigML

• IBM Corporation

• Intel Corporation

MACHINE LEARNING AS A SERVICE MARKET www.introspectivemarketresearch.com IMR 2023

• Microsoft Corporation

• Oracle Corporation

• Hewlett Packard Enterprises

• AT&T

• FICO

• Sift-Science

• Yottamine Analytics

• Ersatz Labs

• Amazon Web Services

• SAP SE, And Other Major Players

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The Report Will Contains A Crucial Chapter:

• Patent Analysis

• Regulatory Framework

• Technology Roadmap

• BCG Matrix

• Heat Map Analysis

• Price Trend Analysis

• Investment Analysis

• Company Profiling and Competitive Positioning

• Industry Value Chain Analysis

• Market Dynamics and Factors

• Porter’s Five Forces Analysis

• Pestle Analysis

• SWOT Analysis

Segmentation Analysis Includes,

By Component:

• Solutions

• Services

By Application:

MACHINE LEARNING AS A SERVICE MARKET www.introspectivemarketresearch.com IMR 2023

• Natural Language Processing

• Marketing & Advertising

• Fraud Detection & Risk Management

• Predictive analytics

• Others

• BFSI

• Government & Defense

• Healthcare & Life Sciences

• Telecommunications

• Retail

• Others

By Region:

• North America (U.S., Canada, Mexico)

• Europe (Germany, U.K., France, Italy, Russia, Spain, Rest of Europe)

• Asia-Pacific (China, India, Japan, Singapore, Australia, New Zealand, Rest of APAC)

• Middle East & Africa (Turkey, Saudi Arabia, Iran, UAE, Africa, Rest of MEA)

• South America (Brazil, Argentina, Rest of SA)

The latest report on the Machine Learning as a Service market provides a detailed analysis of the market for the years 2022 to 2028. It presents a comprehensive overview of the global Machine Learning as a Service industry, incorporating all key industry trends, market dynamics, competitive landscape, and market analysis tools such as Porter's five forces analysis, Industry Value chain analysis, and PESTEL analysis of the Machine Learning as a Service market. Moreover, the research covers crucial chapters such as Patent Analysis, Regulatory Framework, Technology Roadmap, BCG Matrix, Heat Map Analysis, Price Trend Analysis, and Investment Analysis which help to grasp the market direction and development in the present and forthcoming years. The report is meant to assist clients to obtain information and making decisions that will help them build their businesses. The study is produced with a specific aim in mind: to deliver business insights and consultation to help customers make wise business decisions and achieve long-term success in their particular market segments.

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Reasons to Procure this Report:

• The research would help top administration/policymakers/professionals/product advancements/sales managers and stakeholders in this market in the following ways.

• The report provides Machine Learning as a Service market revenues at the worldwide, regional, and country levels with a complete analysis to 2028 permitting companies to analyze their market share and analyze projections, and find new markets to aim for.

• The research includes the Machine Learning as a Service market split by different types, applications, technologies, and end-uses. This segmentation helps leaders plan their products and finances based on the upcoming development rates of each segment.

Table of Content:

Chapter 1: Introduction

1.1 Research Objectives

1.2 Research Methodology

1.3 Research Process

1.4 Scope and Coverage

1.4.1 Market Definition

1.4.2 Key Questions Answered

1.5 Market Segmentation

Chapter 2: Executive Summary

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MACHINE LEARNING AS A SERVICE MARKET www.introspectivemarketresearch.com IMR 2023
3: Growth Opportunities By Segment 3.1 By Component 3.2 By Application 3.3 By End-Use Industry Chapter 4: Market Landscape 4.1 Porter's Five Forces Analysis 4.1.1 Bargaining Power of Supplier 4.1.2 Threat of New Entrants 4.1.3 Threat of Substitutes 4.1.4 Competitive Rivalry 4.1.5 Bargaining Power Among Buyers 4.2 Industry Value Chain Analysis 4.3 Market Dynamics 4.3.1 Drivers 4.3.2 Restraints 4.3.3 Opportunities 4.5.4 Challenges 4.4 Pestle Analysis 4.5 Technological Roadmap 4.6 Regulatory Landscape 4.7 SWOT Analysis 4.8 Price Trend Analysis 4.9 Patent Analysis
Chapter

4.10 Analysis of the Impact of Covid-19

4.10.1 Impact on the Overall Market

4.10.2 Impact on the Supply Chain

4.10.3 Impact on the Key Manufacturers

4.10.4 Impact on the Pricing

Chapter 5: Machine Learning as a Service Market by Component

5.1 Machine Learning as a Service Market Overview Snapshot and Growth Engine

5.2 Machine Learning as a Service Market Overview

5.3 Solutions

5.3.1 Introduction and Market Overview

5.3.2 Historic and Forecasted Market Size (2016-2028F)

5.3.3 Key Market Trends, Growth Factors and Opportunities

5.3.4 Solutions: Geographic Segmentation

5.4 Services

5.4.1 Introduction and Market Overview

5.4.2 Historic and Forecasted Market Size (2016-2028F)

5.4.3 Key Market Trends, Growth Factors and Opportunities

5.4.4 Services: Geographic Segmentation

Chapter 6: Machine Learning as a Service Market by Application

6.1 Machine Learning as a Service Market Overview Snapshot and Growth Engine

6.2 Machine Learning as a Service Market Overview

6.3 Natural Language Processing

6.3.1 Introduction and Market Overview

MACHINE LEARNING AS A SERVICE MARKET www.introspectivemarketresearch.com IMR 2023

6.3.2 Historic and Forecasted Market Size (2016-2028F)

6.3.3 Key Market Trends, Growth Factors and Opportunities

6.3.4 Natural Language Processing: Geographic Segmentation

6.4 Marketing & Advertising

6.4.1 Introduction and Market Overview

6.4.2 Historic and Forecasted Market Size (2016-2028F)

6.4.3 Key Market Trends, Growth Factors and Opportunities

6.4.4 Marketing & Advertising: Geographic Segmentation

6.5 Fraud Detection & Risk Management

6.5.1 Introduction and Market Overview

6.5.2 Historic and Forecasted Market Size (2016-2028F)

6.5.3 Key Market Trends, Growth Factors and Opportunities

6.5.4 Fraud Detection & Risk Management: Geographic Segmentation

6.6 Predictive analytics

6.6.1 Introduction and Market Overview

6.6.2 Historic and Forecasted Market Size (2016-2028F)

6.6.3 Key Market Trends, Growth Factors and Opportunities

6.6.4 Predictive analytics: Geographic Segmentation

6.7 Others

6.7.1 Introduction and Market Overview

6.7.2 Historic and Forecasted Market Size (2016-2028F)

6.7.3 Key Market Trends, Growth Factors and Opportunities

6.7.4 Others: Geographic Segmentation

MACHINE LEARNING AS A SERVICE MARKET www.introspectivemarketresearch.com IMR 2023
MACHINE LEARNING AS A SERVICE MARKET www.introspectivemarketresearch.com IMR 2023
Machine Learning
Market
End-Use Industry
Machine Learning as a Service Market Overview Snapshot and Growth Engine
Machine Learning as a Service Market Overview
BFSI 7.3.1 Introduction and Market Overview
Historic and Forecasted Market Size (2016-2028F) 7.3.3 Key Market Trends, Growth Factors and Opportunities 7.3.4 BFSI: Geographic Segmentation 7.4 Government & Defense 7.4.1 Introduction and Market Overview 7.4.2 Historic and Forecasted Market Size (2016-2028F) 7.4.3 Key Market Trends, Growth Factors and Opportunities 7.4.4 Government & Defense: Geographic Segmentation
Healthcare & Life Sciences 7.5.1 Introduction and Market Overview
Historic and Forecasted Market Size (2016-2028F)
Key Market Trends, Growth Factors and Opportunities 7.5.4 Healthcare & Life Sciences: Geographic Segmentation 7.6 Telecommunications 7.6.1 Introduction and Market Overview 7.6.2 Historic and Forecasted Market Size (2016-2028F)
Key Market Trends, Growth Factors and Opportunities
Telecommunications: Geographic Segmentation
Chapter 7:
as a Service
by
7.1
7.2
7.3
7.3.2
7.5
7.5.2
7.5.3
7.6.3
7.6.4

Chapter 8: Company Profiles and Competitive Analysis

Continued…

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MACHINE LEARNING AS A SERVICE MARKET www.introspectivemarketresearch.com IMR 2023 7.7 Retail
Introduction
Historic
Key Market
Retail:
Others
Introduction and
Historic
Key
7.7.1
and Market Overview 7.7.2
and Forecasted Market Size (2016-2028F) 7.7.3
Trends, Growth Factors and Opportunities 7.7.4
Geographic Segmentation 7.8
7.8.1
Market Overview 7.8.2
and Forecasted Market Size (2016-2028F) 7.8.3
Market Trends, Growth Factors and Opportunities 7.8.4 Others: Geographic Segmentation

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Terms of Use:

This research study involved the extensive usage of both primary and secondary data sources. The research process involved the study of various factors affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry, and market risks, opportunities, market barriers and challenges. The following illustrative figure shows the market research methodology applied in this report.

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Top-down and bottom-up approaches are used to validate the global market size market and estimate the market size for Company, regions segments, product segments and Application (end users).

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