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Global Machine Learning (ML) Market Report By Component Type (Software (Access Control, Security Intelligence, Big Data Governance, Cloud And Web-based Application Programming Interface (APIs), Others), Services (Managed Services, Professional Services)), By Organization Size (Small And Medium-Sized Enterprises, Large Enterprises), By Application (Fraud Detection & Risk Analytics, Augmented & Virtual Reality, Natural Language Processing, Computer Vision, Security & Surveillance, Marketing & Advertisement, Automated Network Management, Predictive Maintenance, Others), By End-use (Automotive, Aerospace & Defense, Retail & E-commerce, Government, Healthcare & Life Sciences, Media & Entertainment, IT & Telecommunications, BFSI, Others) And By Regions - Industry Trends, Size, Share, Growth, Estimation and Forecast, 2021-2028
ID:VMR11218802
August 2022
Report Formats: Electronic (PDF), MS EXCEL
The global demand for Machine Learning (ML) Market is presumed to reach the market size of nearly USD XX MN by 2028 from USD XX MN in 2021 with a CAGR of XX% under the study period 2022 - 2028.
Machine learning (ML) allows the software to work more accurately at predicting outcomes without any human intervention. Companies are offering ML solutions on a subscription basis making it easier for users to leverage the benefits of this technology. Machine learning algorithms are based on the historical data as input to evaluate the accuracy of the new output. The primary objective of machine learning is to allow systems to work without any external intervention and manage their actions accordingly. The supervised machine learning algorithms, unsupervised machine learning algorithms, semi-supervised machine learning algorithms, and reinforcement machine learning algorithms are some of the methods used in the machine learning process.
The research report covers Porter’s Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry’s structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of machine learning (ml). The growth and trends of machine learning (ml) industry provide a holistic approach to this study.
By Component Type
By Organization Size
By Application
By End-Use
The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the machine learning (ml) market include Oracle, IBM, Amazon Web Services Inc., Microsoft, Fractal Analytics Inc., Google, Baidu, Inc., Intel Corporation, Hewlett Packard Enterprise Development LP, and Dell Inc.This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.
In case you have any custom requirements, do write to us. Our research team can offer a customized report as per your need.
Machine learning (ML) allows the software to work more accurately at predicting outcomes without any human intervention. Companies are offering ML solutions on a subscription basis making it easier for users to leverage the benefits of this technology. Machine learning algorithms are based on the historical data as input to evaluate the accuracy of the new output. The primary objective of machine learning is to allow systems to work without any external intervention and manage their actions accordingly. The supervised machine learning algorithms, unsupervised machine learning algorithms, semi-supervised machine learning algorithms, and reinforcement machine learning algorithms are some of the methods used in the machine learning process.
Market Dynamics
Machine intelligence integration with analytics-driven solutions is a rapidly developing trend in the industry. The main factors escalating the machine learning market across the industry are the remarkable expenditures on AI and the introduction of self-driving automobiles. Machine learning reduces the time and workload required for performing the hard job and can process and evaluate data that was otherwise a big challenge using standard systems. The expeditiously growing need for advanced robotics in various industries such as automotive, electronics, healthcare, etc. has pushed the market growth to the next level. The limited availability of a workforce with analytics ability at the firms is a big issue that arises while incorporating machine learning in their business. Choosing the algorithm in machine learning is still a manual process as it demands running all the algorithms, and test the data, and then deciding which one to use.The research report covers Porter’s Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry’s structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of machine learning (ml). The growth and trends of machine learning (ml) industry provide a holistic approach to this study.
Market Segmentation
This section of the machine learning (ml) market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.By Component Type
- Software (Access Control, Security Intelligence, Big Data Governance, Cloud And Web-Based Application Programming Interface (APIs), Others)
- Services (Managed Services, Professional Services)
By Organization Size
- Small And Medium-Sized Enterprises
- Large Enterprises
By Application
- Fraud Detection & Risk Analytics
- Augmented & Virtual Reality
- Natural Language Processing
- Computer Vision
- Security & Surveillance
- Marketing & Advertisement
- Automated Network Management
- Predictive Maintenance
- Others
By End-Use
- Automotive
- Aerospace & Defense
- Retail & E-Commerce
- Government
- Healthcare & Life Sciences
- Media & Entertainment
- IT & Telecommunications
- BFSI
- Others
Regional Analysis
This section covers the regional outlook, which accentuates current and future demand for the Machine Learning (ML) market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.Global Machine Learning (ML) Market Share by Region (Representative Graph)
The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the machine learning (ml) market include Oracle, IBM, Amazon Web Services Inc., Microsoft, Fractal Analytics Inc., Google, Baidu, Inc., Intel Corporation, Hewlett Packard Enterprise Development LP, and Dell Inc.This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.
In case you have any custom requirements, do write to us. Our research team can offer a customized report as per your need.
Frequently Asked Questions (FAQs) about this Report
b. The global machine learning (ml) market is expected to be valued USD 7.91 BN in 2021.
b. The worldwide machine learning (ml) market is estimated to grow at a 45.1 of around 45.1% from 2023 to 2028.
b. North America accounts for the largest share of the global machine learning (ml) market.
b. The global machine learning (ml) market is segmented by Component Type (Software (Access Control, Security Intelligence, Big Data Governance, Cloud And Web-based Application Programming Interface (APIs), Others), Services (Managed Services, Professional Services)), by Organization Size (Small And Medium-Sized Enterprises, Large Enterprises), by Application (Fraud Detection & Risk Analytics, Augmented & Virtual Reality, Natural Language Processing, Computer Vision, Security & Surveillance, Marketing & Advertisement, Automated Network Management, Predictive Maintenance, Others), by End-use (Automotive, Aerospace & Defense, Retail & E-commerce, Government, Healthcare & Life Sciences, Media & Entertainment, IT & Telecommunications, BFSI, Others).
b. The leading players in the global machine learning (ml) market are Oracle, IBM, Amazon Web Services Inc., Microsoft, Fractal Analytics Inc., Google, Baidu Inc., Intel Corporation, Hewlett Packard Enterprise Development LP, and Dell Inc.
1 . PREFACE
1.1. Report Description
1.1.1. Objective
1.1.2. Target Audience
1.1.3. Unique Selling Proposition (USP) & offerings
1.2. Research Scope
1.3. Research Methodology
1.3.1. Market Research Process
1.3.2. Market Research Methodology
2 . EXECUTIVE SUMMARY
2.1. Highlights of Market
2.2. Global Market Snapshot
3 . MACHINE LEARNING (ML) – INDUSTRY ANALYSIS
3.1. Introduction - Market Dynamics
3.2. Market Drivers
3.3. Market Restraints
3.4. Opportunities
3.5. Industry Trends
3.6. Porter’s Five Force Analysis
3.7. Market Attractiveness Analysis
3.7.1 Market Attractiveness Analysis By Component Type
3.7.2 Market Attractiveness Analysis By Organization Size
3.7.3 Market Attractiveness Analysis By Application
3.7.4 Market Attractiveness Analysis By End-use
3.7.5 Market Attractiveness Analysis By Region
4 . VALUE CHAIN ANALYSIS
4.1. Value Chain Analysis
4.2. Raw Material Analysis
4.2.1. List of Raw Materials
4.2.2. Raw Material Manufactures List
4.2.3. Price Trend of Key Raw Materials
4.3. List of Potential Buyers
4.4. Marketing Channel
4.4.1. Direct Marketing
4.4.2. Indirect Marketing
4.4.3. Marketing Channel Development Trend
5 . IMPACT ANALYSIS OF COVID-19 OUTBREAK
5.1. Impact Analysis of Covid-19 Outbreak
5.1.1. Direct Impact on Production
5.1.2. Supply Chain and Market Disruption
5.1.3. Financial Impact on Firms and Financial Markets
5.2. COVID-19 Impact Analysis by Production, Import, Export and Demand
5.3. Market: Pre V/S Post COVID-19
5.4. Estimated Impact of the Coronavirus (COVID-19) Epidemic
5.5. COVID-19: Micro and Macro Factor Analysis
6 . GLOBAL MACHINE LEARNING (ML) MARKET ANALYSIS BY COMPONENT TYPE
6.1 Overview by Component Type
6.2 Historical and Forecast Data
6.3 Analysis by Component Type
6.4 Software (Access Control, Security Intelligence, Big Data Governance, Cloud And Web-based Application Programming Interface (APIs), Others) Historic and Forecast Sales by Regions
6.5 Services (Managed Services, Professional Services) Historic and Forecast Sales by Regions
7 . GLOBAL MACHINE LEARNING (ML) MARKET ANALYSIS BY ORGANIZATION SIZE
7.1 Overview by Organization Size
7.2 Historical and Forecast Data
7.3 Analysis by Organization Size
7.4 Small And Medium-Sized Enterprises Historic and Forecast Sales by Regions
7.5 Large Enterprises Historic and Forecast Sales by Regions
8 . GLOBAL MACHINE LEARNING (ML) MARKET ANALYSIS BY APPLICATION
8.1 Overview by Application
8.2 Historical and Forecast Data
8.3 Analysis by Application
8.4 Fraud Detection & Risk Analytics Historic and Forecast Sales by Regions
8.5 Augmented & Virtual Reality Historic and Forecast Sales by Regions
8.6 Natural Language Processing Historic and Forecast Sales by Regions
8.7 Computer Vision Historic and Forecast Sales by Regions
8.8 Security & Surveillance Historic and Forecast Sales by Regions
8.9 Marketing & Advertisement Historic and Forecast Sales by Regions
8.10. Automated Network Management Historic and Forecast Sales by Regions
8.11 Predictive Maintenance Historic and Forecast Sales by Regions
8.12 Others Historic and Forecast Sales by Regions
9 . GLOBAL MACHINE LEARNING (ML) MARKET ANALYSIS BY END-USE
9.1 Overview by End-use
9.2 Historical and Forecast Data
9.3 Analysis by End-use
9.4 Automotive Historic and Forecast Sales by Regions
9.5 Aerospace & Defense Historic and Forecast Sales by Regions
9.6 Retail & E-commerce Historic and Forecast Sales by Regions
9.7 Government Historic and Forecast Sales by Regions
9.8 Healthcare & Life Sciences Historic and Forecast Sales by Regions
9.9 Media & Entertainment Historic and Forecast Sales by Regions
9.10. IT & Telecommunications Historic and Forecast Sales by Regions
9.11 BFSI Historic and Forecast Sales by Regions
9.12 Others Historic and Forecast Sales by Regions
10 . GLOBAL MACHINE LEARNING (ML) MARKET ANALYSIS BY GEOGRAPHY
10.1. Regional Outlook
10.2. Introduction
10.3. North America Sales Analysis
10.3.1. Overview, Historic and Forecast Sales Analysis
10.3.2. North America By Segment Sales Analysis
10.3.3. North America By Country Sales Analysis
10.3.4. United State Sales Analysis
10.3.5. Canada Sales Analysis
10.3.6. Mexico Sales Analysis
10.4. Europe Sales Analysis
10.4.1. Overview, Historic and Forecast Sales Analysis
10.4.2. Europe by Segment Sales Analysis
10.4.3. Europe by Country Sales Analysis
10.4.4. United Kingdom Sales Analysis
10.4.5. France Sales Analysis
10.4.6. Germany Sales Analysis
10.4.7. Italy Sales Analysis
10.4.8. Russia Sales Analysis
10.4.9. Rest Of Europe Sales Analysis
10.5. Asia Pacific Sales Analysis
10.5.1. Overview, Historic and Forecast Sales Analysis
10.5.2. Asia Pacific by Segment Sales Analysis
10.5.3. Asia Pacific by Country Sales Analysis
10.5.4. China Sales Analysis
10.5.5. India Sales Analysis
10.5.6. Japan Sales Analysis
10.5.7. South Korea Sales Analysis
10.5.8. Australia Sales Analysis
10.5.9. Rest Of Asia Pacific Sales Analysis
10.6. Latin America Sales Analysis
10.6.1. Overview, Historic and Forecast Sales Analysis
10.6.2. Latin America by Segment Sales Analysis
10.6.3. Latin America by Country Sales Analysis
10.6.4. Brazil Sales Analysis
10.6.5. Argentina Sales Analysis
10.6.6. Peru Sales Analysis
10.6.7. Chile Sales Analysis
10.6.8. Rest of Latin America Sales Analysis
10.7. Middle East & Africa Sales Analysis
10.7.1. Overview, Historic and Forecast Sales Analysis
10.7.2. Middle East & Africa by Segment Sales Analysis
10.7.3. Middle East & Africa by Country Sales Analysis
10.7.4. Saudi Arabia Sales Analysis
10.7.5. UAE Sales Analysis
10.7.6. Israel Sales Analysis
10.7.7. South Africa Sales Analysis
10.7.8. Rest Of Middle East And Africa Sales Analysis
11 . COMPETITIVE LANDSCAPE OF THE MACHINE LEARNING (ML) COMPANIES
11.1. Machine Learning (Ml) Market Competition
11.2. Partnership/Collaboration/Agreement
11.3. Merger And Acquisitions
11.4. New Product Launch
11.5. Other Developments
12 . COMPANY PROFILES OF MACHINE LEARNING (ML) INDUSTRY
12.1. Top Company Share Analysis
12.2. Market Concentration Rate
12.3. Oracle
12.3.1. Company Overview
12.3.2. Company Revenue
12.3.3. Products
12.3.4. Recent Developments
12.4. IBM
12.4.1. Company Overview
12.4.2. Company Revenue
12.4.3. Products
12.4.4. Recent Developments
12.5. Amazon Web Services Inc.
12.5.1. Company Overview
12.5.2. Company Revenue
12.5.3. Products
12.5.4. Recent Developments
12.6. Microsoft
12.6.1. Company Overview
12.6.2. Company Revenue
12.6.3. Products
12.6.4. Recent Developments
12.7. Fractal Analytics Inc.
12.7.1. Company Overview
12.7.2. Company Revenue
12.7.3. Products
12.7.4. Recent Developments
12.8. Google
12.8.1. Company Overview
12.8.2. Company Revenue
12.8.3. Products
12.8.4. Recent Developments
12.9. Baidu Inc.
12.9.1. Company Overview
12.9.2. Company Revenue
12.9.3. Products
12.9.4. Recent Developments
12.10. Intel Corporation
12.10.1. Company Overview
12.10.2. Company Revenue
12.10.3. Products
12.10.4. Recent Developments
12.11. Hewlett Packard Enterprise Development LP
12.11.1. Company Overview
12.11.2. Company Revenue
12.11.3. Products
12.11.4. Recent Developments
12.12. Dell Inc.
12.12.1. Company Overview
12.12.2. Company Revenue
12.12.3. Products
12.12.4. Recent Developments
*Note - in company profiling, financial details and recent development are subject to availability or might not be covered in case of private companies
LIST OF TABLES
- Market Snapshot
- Drivers : Impact Analysis
- Restraints : Impact Analysis
- List of Raw Material
- List of Raw Material Manufactures
- List of Potential Buyers
- COVID-19 Impact Analysis by Production, Import, Export and Demand
- Pre V/S Post COVID-19
- Estimated Impact Of The Coronavirus (Covid-19) Epidemic
- COVID-19: Micro and Macro Factor Analysis
- Analysis by Component Type (USD MN)
- Software (Access Control, Security Intelligence, Big Data Governance, Cloud And Web-based Application Programming Interface (APIs), Others) Market Sales by Geography (USD MN)
- Services (Managed Services, Professional Services) Market Sales by Geography (USD MN)
- Analysis Market by Organization Size (USD MN)
- Small And Medium-Sized Enterprises Market Sales by Geography (USD MN)
- Large Enterprises Market Sales by Geography (USD MN)
- Analysis by Application (USD MN)
- Fraud Detection & Risk Analytics Market Sales by Geography (USD MN)
- Augmented & Virtual Reality Market Sales by Geography (USD MN)
- Natural Language Processing Market Sales by Geography (USD MN)
- Computer Vision Market Sales by Geography (USD MN)
- Security & Surveillance Market Sales by Geography (USD MN)
- Marketing & Advertisement Market Sales by Geography (USD MN)
- Automated Network Management Market Sales by Geography (USD MN)
- Predictive Maintenance Market Sales by Geography (USD MN)
- Others Market Sales by Geography (USD MN)
- Analysis by End-use (USD MN)
- Automotive Market Sales by Geography (USD MN)
- Aerospace & Defense Market Sales by Geography (USD MN)
- Retail & E-commerce Market Sales by Geography (USD MN)
- Government Market Sales by Geography (USD MN)
- Healthcare & Life Sciences Market Sales by Geography (USD MN)
- Media & Entertainment Market Sales by Geography (USD MN)
- IT & Telecommunications Market Sales by Geography (USD MN)
- BFSI Market Sales by Geography (USD MN)
- Others Market Sales by Geography (USD MN)
- Global Machine Learning (Ml) Market Sales by Geography (USD MN)
- North America Market Analysis (USD MN)
- United State Market Analysis (USD MN)
- Canada Market Analysis (USD MN)
- Mexico Market Analysis (USD MN)
- Europe Market Analysis (USD MN)
- Europe Market Estimate by Country (USD MN)
- United Kingdom Market Analysis (USD MN)
- France Market Analysis (USD MN)
- Germany Market Analysis (USD MN)
- Italy Market Analysis (USD MN)
- Russia Market Analysis (USD MN)
- Spain Market Analysis (USD MN)
- Rest of Europe Market Analysis (USD MN)
- Asia Pacific Market Analysis (USD MN)
- China Market Analysis (USD MN)
- Japan Market Analysis (USD MN)
- India Market Analysis (USD MN)
- South Korea Market Analysis (USD MN)
- Australia Market Analysis (USD MN)
- Rest of Asia Pacific Market Analysis (USD MN)
- Latin America Market Analysis (USD MN)
- Brazil Market Analysis (USD MN)
- Argentina Market Analysis (USD MN)
- Peru Market Analysis (USD MN)
- Chile Market Analysis (USD MN)
- Rest of Latin America Market Analysis (USD MN)
- Middle East & Africa Market Analysis (USD MN)
- Saudi Arabia Market Analysis (USD MN)
- UAE Market Analysis (USD MN)
- Israel Market Analysis (USD MN)
- South Africa Market Analysis (USD MN)
- Rest of Middle East and Africa Market Analysis (USD MN)
- Partnership/Collaboration/Agreement
- Mergers And Acquisition
LIST OF FIGURES
- Research Scope of Machine Learning (Ml) Report
- Market Research Process
- Market Research Methodology
- Global Machine Learning (Ml) Market Size, by Region (USD MN)
- Porters Five Forces Analysis
- Market Attractiveness Analysis by Component Type
- Market Attractiveness Analysis by Organization Size
- Market Attractiveness Analysis by Application
- Market Attractiveness Analysis by End-use
- Market Attractiveness Analysis by Region
- Value Chain Analysis
- Global Market Analysis by Component Type (USD MN)
- Software (Access Control, Security Intelligence, Big Data Governance, Cloud And Web-based Application Programming Interface (APIs), Others) Market Sales by Geography (USD MN)
- Services (Managed Services, Professional Services) Market Sales by Geography (USD MN)
- Global Market Analysis by Organization Size (USD MN)
- Small And Medium-Sized Enterprises Market Sales by Geography (USD MN)
- Large Enterprises Market Sales by Geography (USD MN)
- Global Market Analysis by Application (USD MN)
- Fraud Detection & Risk Analytics Market Sales by Geography (USD MN)
- Augmented & Virtual Reality Market Sales by Geography (USD MN)
- Natural Language Processing Market Sales by Geography (USD MN)
- Computer Vision Market Sales by Geography (USD MN)
- Security & Surveillance Market Sales by Geography (USD MN)
- Marketing & Advertisement Market Sales by Geography (USD MN)
- Automated Network Management Market Sales by Geography (USD MN)
- Predictive Maintenance Market Sales by Geography (USD MN)
- Others Market Sales by Geography (USD MN)
- Global Market Analysis by End-use (USD MN)
- Automotive Market Sales by Geography (USD MN)
- Aerospace & Defense Market Sales by Geography (USD MN)
- Retail & E-commerce Market Sales by Geography (USD MN)
- Government Market Sales by Geography (USD MN)
- Healthcare & Life Sciences Market Sales by Geography (USD MN)
- Media & Entertainment Market Sales by Geography (USD MN)
- IT & Telecommunications Market Sales by Geography (USD MN)
- BFSI Market Sales by Geography (USD MN)
- Others Market Sales by Geography (USD MN)
- Global Market by Revenue
- North America Market by Revenue
- Europe Market by Revenue
- Asia Pacific Market by Revenue
- Latin America Market by Revenue
- Middle East & Africa Market by Revenue
- Recent Development in Industry
- Top Company Share Analysis
* Kindly note that the above listed are the basic tables and figures of the report and are not limited to the TOC.
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Objectives of Study
- Define and measure the global market
- Volume or revenue forecast of the global market and its various sub-segments with respect to main geographies
- Analyze and identify major market trends along with the factors driving or inhibiting the market growth
- Study the company profiles of the major market players with their market share
- Analyze competitive developments