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Machine Learning Market: Global Industry Analysis, Trends, Market Size, and Forecasts up to 2026

  • Report

  • 100 Pages
  • January 2021
  • Region: Global
  • Infinium Global Research
  • ID: 5139225
The report on the global machine learning market provides qualitative and quantitative analysis for the period from 2018 to 2026. The report predicts the global machine learning market to grow with a healthy CAGR over the forecast period from 2020-2026. The study on machine learning market covers the analysis of the leading geographies such as North America, Europe, Asia-Pacific, and RoW for the period of 2018 to 2026.

The report on machine learning market is a comprehensive study and presentation of drivers, restraints, opportunities, demand factors, market size, forecasts, and trends in the global machine learning market over the period of 2018 to 2026. Moreover, the report is a collective presentation of primary and secondary research findings.

Porter's five forces model in the report provides insights into the competitive rivalry, supplier and buyer positions in the market and opportunities for the new entrants in the global machine learning market over the period of 2018 to 2026. Further, Growth Matrix gave in the report brings an insight into the investment areas that existing or new market players can consider.

Report Findings

1) Drivers
  • The increasing adoption of cloud-based services, upsurge in unstructured data leads to the growing demand for machine learning solutions
  • Growing need to improve computing power and decline hardware cost owing to machine learning algorithms capability to run or execute faster

2) Restraints
  • Absence of technical expertise is anticipated to restrain the machine learning market

3) Opportunities
  • The increasing rate of adoption for IoT and automation systems in industries is projected to drive the growth

Research Methodology

A) Primary Research
The primary research involves extensive interviews and analysis of the opinions provided by the primary respondents. The primary research starts with identifying and approaching the primary respondents, the primary respondents are approached include
1. Key Opinion Leaders
2. Internal and External subject matter experts
3. Professionals and participants from the industry

The primary research respondents typically include
1. Executives working with leading companies in the market under review
2. Product/brand/marketing managers
3. CXO level executives
4. Regional/zonal/country managers
5. Vice President level executives.

B) Secondary Research
Secondary research involves extensive exploring through the secondary sources of information available in both the public domain and paid sources. Each research study is based on over 500 hours of secondary research accompanied by primary research. The information obtained through the secondary sources is validated through the crosscheck on various data sources.

The secondary sources of the data typically include
1. Company reports and publications
2. Government/institutional publications
3. Trade and associations journals
4. Databases such as WTO, OECD, World Bank, and among others.
5. Websites and publications by research agencies

Segment Covered
The global machine learning market is segmented on the basis of component, enterprise size, service, deployment model, and end-user.

The Global Machine Learning Market by Component
  • Hardware
  • Software
  • Services

The Global Machine Learning Market by Enterprise Size
  • Large Enterprises
  • SMEs

The Global Machine Learning Market by Service
  • Professional Services
  • Managed Services

The Global Machine Learning Market by Deployment Model
  • Cloud
  • On-premises

The Global Machine Learning Market by End-user
  • Healthcare
  • BFSI
  • Government and Defense
  • Retail
  • Advertising & Media
  • Automotive & Transportation
  • Agriculture
  • Others

Company Profiles
The companies covered in the report include
  • Amazon Web Services, Inc.
  • Baidu Inc.
  • Google Inc.
  • RapidMiner, Inc.
  • Intel Corporation
  • International Business Machines Corporation
  • Hewlett Packard Enterprise Development LP
  • Microsoft Corporation
  • SAS Institute Inc.
  • SAP SE

What does this Report Deliver?
1. Comprehensive analysis of the global as well as regional markets of the machine learning market.
2. Complete coverage of all the segments in the machine learning market to analyze the trends, developments in the global market and forecast of market size up to 2026.
3. Comprehensive analysis of the companies operating in the global machine learning market. The company profile includes analysis of product portfolio, revenue, SWOT analysis and latest developments of the company.
4. Growth Matrix presents an analysis of the product segments and geographies that market players should focus to invest, consolidate, expand and/or diversify.

This product will be delivered within 1-3 business days.

Table of Contents

1. Preface
1.1. Report Description
1.2. Research Methods
1.3. Research Approaches
2. Executive Summary
2.1. Machine Learning Market Highlights
2.2. Machine Learning Market Projection
2.3. Machine Learning Market Regional Highlights
3. Global Machine Learning Market Overview
3.1. Introduction
3.2. Market Dynamics
3.2.1. Drivers
3.2.2. Restraints
3.2.3. Opportunities
3.3. Analysis of COVID-19 impact on the Machine Learning Market
3.4. Porter's Five Forces Analysis
3.5. Growth Matrix Analysis
3.5.1. Growth Matrix Analysis by Component
3.5.2. Growth Matrix Analysis by Enterprise Size
3.5.3. Growth Matrix Analysis by Service
3.5.4. Growth Matrix Analysis by Deployment Model
3.5.5. Growth Matrix Analysis by End-user
3.5.6. Growth Matrix Analysis by Region
3.6. Value Chain Analysis of Machine Learning Market
4. Machine Learning Market Macro Indicator Analysis
5. Global Machine Learning Market by Component
5.1. Hardware
5.2. Software
5.3. Services
6. Global Machine Learning Market by Enterprise Size
6.1. Large Enterprises
6.2. SMEs
7. Global Machine Learning Market by Service
7.1. Professional Services
7.2. Managed Services
8. Global Machine Learning Market by Deployment Model
8.1. Cloud
8.2. On-premises
9. Global Machine Learning Market by End-user
9.1. Healthcare
9.2. BFSI
9.3. Government and Defense
9.4. Retail
9.5. Advertising & Media
9.6. Automotive & Transportation
9.7. Agriculture
9.8. Others
10. Global Machine Learning Market by Region 2020-2026
10.1. North America
10.1.1. North America Machine Learning Market by Component
10.1.2. North America Machine Learning Market by Enterprise Size
10.1.3. North America Machine Learning Market by Service
10.1.4. North America Machine Learning Market by Deployment Model
10.1.5. North America Machine Learning Market by End-user
10.1.6. North America Machine Learning Market by Country
10.2. Europe
10.2.1. Europe Machine Learning Market by Component
10.2.2. Europe Machine Learning Market by Enterprise Size
10.2.3. Europe Machine Learning Market by Service
10.2.4. Europe Machine Learning Market by Deployment Model
10.2.5. Europe Machine Learning Market by End-user
10.2.6. Europe Machine Learning Market by Country
10.3. Asia-Pacific
10.3.1. Asia-Pacific Machine Learning Market by Component
10.3.2. Asia-Pacific Machine Learning Market by Enterprise Size
10.3.3. Asia-Pacific Machine Learning Market by Service
10.3.4. Asia-Pacific Machine Learning Market by Deployment Model
10.3.5. Asia-Pacific Machine Learning Market by End-user
10.3.6. Asia-Pacific Machine Learning Market by Country
10.4. RoW
10.4.1. RoW Machine Learning Market by Component
10.4.2. RoW Machine Learning Market by Enterprise Size
10.4.3. RoW Machine Learning Market by Service
10.4.4. RoW Machine Learning Market by Deployment Model
10.4.5. RoW Machine Learning Market by End-user
10.4.6. RoW Machine Learning Market by Sub-region
11. Company Profiles and Competitive Landscape
11.1. Competitive Landscape in the Global Machine Learning Market
11.2. Companies Profiled
11.2.1. Amazon Web Services, Inc.
11.2.2. Baidu Inc.
11.2.3. Google Inc.
11.2.4. RapidMiner, Inc.
11.2.5. Intel Corporation
11.2.6. International Business Machines Corporation
11.2.7. Hewlett Packard Enterprise Development LP
11.2.8. Microsoft Corporation
11.2.9. SAS Institute Inc.
11.2.10. SAP SE

Companies Mentioned

  • Amazon Web Services, Inc.
  • Baidu Inc.
  • Google Inc.
  • RapidMiner, Inc.
  • Intel Corporation
  • International Business Machines Corporation
  • Hewlett Packard Enterprise Development LP
  • Microsoft Corporation
  • SAS Institute Inc.
  • SAP SE