Report Scope
In this report, the market has been segmented based on components, organization size, deployment mode, end use and region. The report provides an overview of the global machine learning market and analyzes market trends. Using 2020 as the base year, the report provides estimated market data for the forecast period, 2021 to 2026. Market values have been estimated based on the total revenue of machine learning solution providers.
The report covers the market for machine learning about the user base across different regions. It also highlights major trends and challenges that affect the market and the vendor landscape. The report estimates the global market for machine learning in 2020 and provides projections for the expected market size through 2026.
The scope of the study includes machine learning platforms and associated services. However, hardware components like data servers, GPUs, and other hardware devices; physical services for repair and maintaining of IT Infrastructure; revenue generated for B2C adoption; and third-party vendors are not part of the scope.
Report Includes
- 38 data tables and 51 additional tables
- An overview of the global market for machine learning
- Estimation of the market size and analyses of global market trends, with data from 2020, 2021, estimates for 2022 with projections of compound annual growth rates (CAGRs) through 2026 and identification of segments with high growth potential and their future applications
- Characterization and quantification of market potential for machine learning by type, solution, organization size, deployment mode, end use, and region
- Coverage of evolution and future of machine learning technology, and discussion on process flow of machine learning
- Identification of market drivers, restraints and other forces impacting the global market and evaluation of current market size and forecast, and assessment of new developments in the industry
- Market share analysis of the key companies of the industry and coverage of their proprietary technologies, strategic alliances, and other key market strategies and a relevant patent analysis
- Comprehensive company profiles of the leading players, including Alphabet (Google), Amazon.com Inc., IBM, Microsoft, Salesforce.com and Intel Corp.
Table of Contents
Chapter 1 Introduction
Chapter 3 Market Overview
Chapter 4 Market Breakdown by Type of Machine Learning
Chapter 5 Market Breakdown by Solution
Chapter 6 Market Breakdown by Organization Size
Chapter 7 Market Breakdown by Deployment Mode
Chapter 8 Market Breakdown by End Use
Chapter 9 Market Breakdown by Region
Chapter 10 Competitive Landscape
Chapter 11 Company Profiles
List of Figures
Executive Summary
Machine learning is an internet tool that allows people in various parts of the world to hold face-to-face meetings without having to travel to the same place. The use of machine learning is becoming more common. Machine learning keeps face-to-face meetings from becoming faceless phone conversations when travel expenses are cut. The solution, as opposed to audio-only sessions, enables greater communication, because most communication is nonverbal. Routine meetings, increased communication, negotiating corporate transactions and interviewing job candidates are just a few of the applications for machine learning.Global workforce transformation in the wake of COVID-19, growing adoption of machine learning in the healthcare and education sectors, and a surge in cloud machine learning are some of the key factors driving the growth of the current machine learning market. However, network privacy and security concerns, lack of interoperability, and high initial cost are hindering the market growth. In this report, the global market for machine learning has been segmented based on solution, organization size, deployment mode, system, application, end-use and geography. Based on solution,the machine learning market has been categorized into software and services.
Based on organization size, the machine learning market has been segmented into SMEs and large enterprises. Based on deployment mode the machine learning market has been segmented into onpremises and cloud. Based on end-use, the machine learning market has been segmented into BFSI, healthcare and life science, retail, IT and telecom, government and defense, manufacturing, energy and utilities, and others.
By geography, the machine learning market has been segmented into North America, Europe, Asia- Pacific and RoW. The North American region is currently the most dominant market for the global machine learning market. Heavy investment in the R&D of unified communication technology, presence of leading global companies, robust technology infrastructure and high adoption of advanced technologies (such as AI, IoT, and cloud) are some of the key factors driving the North American market. Asia-Pacific is currently the fastest-growing market for machine learning globally.
Companies Mentioned
- Alphabet Inc. (Google Inc.)
- Alteryx
- Amazon Inc.
- Anaconda
- Baidu Inc.
- Bigml Inc.
- Fair Isaac Corp. (Fico)
- H20.Ai
- Hewlett Packard Enterprise (HPE)
- IBM
- Intel Corp.
- Knime
- Mathworks
- Microsoft
- Oracle Corp.
- Rapidminer
- Salesforce
- SAP Se
- SAS Inc.
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 167 |
| Published | February 2022 |
| Forecast Period | 2021 - 2026 |
| Estimated Market Value ( USD | $ 17.1 Billion |
| Forecasted Market Value ( USD | $ 90.1 Billion |
| Compound Annual Growth Rate | 39.4% |
| Regions Covered | Global |
| No. of Companies Mentioned | 19 |
