Format: PDF
The market size of Machine Learning as a Service (MLaaS) is projected to hit USD 14,098 million by 2025, rising over the forecast period at a CAGR of 39.2%. The key growth factor for market growth is the introduction of cloud-based technology, a growing need to understand consumer behavior, and technological advancements.
1 Global Machine Learning as a Service (MLaaS) Market
1.1 Study Objectives
1.2 Market Definition
1.3 Study Scope
1.3.1 Markets Covered
1.3.2 Geographic Scope
2 RESEARCH METHODOLOGY
2.1 Research Data
2.1.1 Secondary Data
2.1.1.1 Key Data From Secondary Sources
2.1.2 Primary Data
2.1.2.1 Key Data From Primary Sources
2.1.2.2 Key Industry Insights
2.1.2.3 Breakdown of Primaries
2.2 Market Size Estimation
2.2.1 Bottom-Up Approach
2.2.2 Top-Down Approach
2.3 Market Breakdown and Data Triangulation
2.4 Research Assumptions
3 Global Machine Learning as a Service (MLaaS) Market – Executive Summary
3.1 Market Revenue, Market Size and Key Trends by Company
3.2 Key Trends by type of Application
3.3 Key Trends segmented by Geography
4 Global Machine Learning as a Service (MLaaS) Market – Comparative Analysis
4.1 Product Benchmarking – Top 10 companies
4.2 Top 5 Financials Analysis
4.3 Market Value split by Top 10 companies
4.4 Patent Analysis – Top 10 companies
4.5 Pricing Analysis
5 Global Machine Learning as a Service (MLaaS) Market – Industry Market Entry Scenario
5.1 Regulatory Framework Overview
5.2 New Business and Ease of Doing business index
5.3 Case studies of successful ventures
5.4 Customer Analysis – Top 10 companies
6 Global Machine Learning as a Service (MLaaS) Market – Market Forces
6.1 Introduction
6.2 Market Dynamics
6.2.1 Drivers
6.2.2 Opportunities
6.2.3 Challenges
6.3 Porters Analysis of Market
6.3.1 Bargaining power of suppliers
6.3.2 Bargaining powers of customers
6.3.3 Threat of new entrants
6.3.4 Rivalry among existing players
6.3.5 Threat of substitutes
7 Global Machine Learning as a Service (MLaaS) Market – Strategic Analysis
7.1 Value Chain analysis
7.2 Product Life Cycle
7.3 Supplier and distributor analysis (Market share and product dealing strategies)
8 Global Machine Learning as a Service (MLaaS) Market – By Software Tool and Services
(Market Size – & million/billion)
8.1 Software Tools
8.2 Data Storage and Archiving
8.3 Cloud and Web-based Application Programming Interface (APIs)
8.4 Others
9 Global Machine Learning as a Service (MLaaS) Market – By Deployment Type
9.1 Cloud
9.2 On-premises
10 Global Machine Learning as a Service (MLaaS) Market – By Organization Size
10.1 SMEs
10.2 Large enterprises
11 Global Machine Learning as a Service (MLaaS) Market – By Service
11.1 Professional Services
11.2 Managed Services
12 Global Machine Learning as a Service (MLaaS) Market – By Enterprise Applications
12.1 Marketing and Advertising.
12.2 Risk Analytics and Fraud Detection
12.3 Predictive Maintenance
12.4 Network Analytics and Automated Traffic Management
12.5 Augmented Reality
12.6 Others
13 Global Machine Learning as a Service (MLaaS) Market – By Geography (Market Size – &
million/billion)
13.1 Introduction
13.2 North America
13.2.1 US
13.2.2 Canada
13.2.3 Mexico
13.3 Europe
13.3.1 U.K
13.3.2 Germany
13.3.3 Italy
13.3.4 France
13.3.5 Spain
13.3.6 Rest of Europe
13.4 Asia-Pacific
13.4.1 China
13.4.2 Japan
13.4.3 India
13.4.4 South Korea
13.4.5 Rest of APAC
13.5 Rest of the World
13.5.1 South America
13.5.2 Middle East
13.5.3 Africa
14 Global Machine Learning as a Service (MLaaS) Market – Entropy
14.1 New product launches
14.2 M&A’s, collaborations, JVs and partnerships
15 Global Machine Learning as a Service (MLaaS) Market Company Profile (Key Players)
15.1 Market Share, Company Revenue, Products, M&A, Developments
15.2 Microsoft
15.3 International Business Machine Corporation
15.4 Amazon Web Services
15.5 Google, Inc.
15.6 BigML, Inc.
15.7 FICO
15.8 HP Enterprise
15.9 AT&T
15.10 Yottamine Analytics
15.11 Sift-Science
15.12 Company 11 & more
16 Global Machine Learning as a Service (MLaaS) Market – Appendix
16.1 Sources
16.2 Abbreviations
Take a look at this complimentary sample which comprises of a variety of market data points such as trend analyses, market estimates, and forecasts. You can explore and evaluate it on your own.
Send me Free SampleOr View Our License Options:
$3,850.00 – $5,850.00
Industry Coverage: Global Market Studies has a broad range of industry coverage, spanning various sectors such as healthcare, technology, retail, automotive, and many others. This means that clients can rely on us to provide valuable insights into their respective industries, helping them make informed business decisions.
Our team of experts has years of experience in the market research industry, and they have honed their skills in data analysis, market forecasting, and trend analysis. They are also adept at using advanced research tools and techniques to gather and analyze data, providing clients with accurate and reliable insights.
We understand that each client has unique research needs, and we tailor our research solutions to meet their specific requirements. We work closely with our clients to understand their objectives and provide customized research solutions that address their business challenges.
We are committed to innovation and are constantly exploring new research methods and techniques to provide our clients with cutting-edge insights. This enables us to stay ahead of the curve and deliver the best possible research outcomes.
At Global Market Studies, our clients are at the center of everything we do. We pride ourselves on providing excellent customer service and support, and we are always available to address our clients’ concerns and questions.
Accurate market data is crucial to a successful business strategy. With an 85% + accuracy in all reports, makes us one of the best and most accurate firms in the world.
Need Customized Report ?Call NowThe market size of Machine Learning as a Service (MLaaS) is projected to hit USD 14,098 million by 2025, rising over the forecast period at a CAGR of 39.2%. The key growth factor for market growth is the introduction of cloud-based technology, a growing need to understand consumer behavior, and technological advancements.
1 Global Machine Learning as a Service (MLaaS) Market
1.1 Study Objectives
1.2 Market Definition
1.3 Study Scope
1.3.1 Markets Covered
1.3.2 Geographic Scope
2 RESEARCH METHODOLOGY
2.1 Research Data
2.1.1 Secondary Data
2.1.1.1 Key Data From Secondary Sources
2.1.2 Primary Data
2.1.2.1 Key Data From Primary Sources
2.1.2.2 Key Industry Insights
2.1.2.3 Breakdown of Primaries
2.2 Market Size Estimation
2.2.1 Bottom-Up Approach
2.2.2 Top-Down Approach
2.3 Market Breakdown and Data Triangulation
2.4 Research Assumptions
3 Global Machine Learning as a Service (MLaaS) Market – Executive Summary
3.1 Market Revenue, Market Size and Key Trends by Company
3.2 Key Trends by type of Application
3.3 Key Trends segmented by Geography
4 Global Machine Learning as a Service (MLaaS) Market – Comparative Analysis
4.1 Product Benchmarking – Top 10 companies
4.2 Top 5 Financials Analysis
4.3 Market Value split by Top 10 companies
4.4 Patent Analysis – Top 10 companies
4.5 Pricing Analysis
5 Global Machine Learning as a Service (MLaaS) Market – Industry Market Entry Scenario
5.1 Regulatory Framework Overview
5.2 New Business and Ease of Doing business index
5.3 Case studies of successful ventures
5.4 Customer Analysis – Top 10 companies
6 Global Machine Learning as a Service (MLaaS) Market – Market Forces
6.1 Introduction
6.2 Market Dynamics
6.2.1 Drivers
6.2.2 Opportunities
6.2.3 Challenges
6.3 Porters Analysis of Market
6.3.1 Bargaining power of suppliers
6.3.2 Bargaining powers of customers
6.3.3 Threat of new entrants
6.3.4 Rivalry among existing players
6.3.5 Threat of substitutes
7 Global Machine Learning as a Service (MLaaS) Market – Strategic Analysis
7.1 Value Chain analysis
7.2 Product Life Cycle
7.3 Supplier and distributor analysis (Market share and product dealing strategies)
8 Global Machine Learning as a Service (MLaaS) Market – By Software Tool and Services
(Market Size – & million/billion)
8.1 Software Tools
8.2 Data Storage and Archiving
8.3 Cloud and Web-based Application Programming Interface (APIs)
8.4 Others
9 Global Machine Learning as a Service (MLaaS) Market – By Deployment Type
9.1 Cloud
9.2 On-premises
10 Global Machine Learning as a Service (MLaaS) Market – By Organization Size
10.1 SMEs
10.2 Large enterprises
11 Global Machine Learning as a Service (MLaaS) Market – By Service
11.1 Professional Services
11.2 Managed Services
12 Global Machine Learning as a Service (MLaaS) Market – By Enterprise Applications
12.1 Marketing and Advertising.
12.2 Risk Analytics and Fraud Detection
12.3 Predictive Maintenance
12.4 Network Analytics and Automated Traffic Management
12.5 Augmented Reality
12.6 Others
13 Global Machine Learning as a Service (MLaaS) Market – By Geography (Market Size – &
million/billion)
13.1 Introduction
13.2 North America
13.2.1 US
13.2.2 Canada
13.2.3 Mexico
13.3 Europe
13.3.1 U.K
13.3.2 Germany
13.3.3 Italy
13.3.4 France
13.3.5 Spain
13.3.6 Rest of Europe
13.4 Asia-Pacific
13.4.1 China
13.4.2 Japan
13.4.3 India
13.4.4 South Korea
13.4.5 Rest of APAC
13.5 Rest of the World
13.5.1 South America
13.5.2 Middle East
13.5.3 Africa
14 Global Machine Learning as a Service (MLaaS) Market – Entropy
14.1 New product launches
14.2 M&A’s, collaborations, JVs and partnerships
15 Global Machine Learning as a Service (MLaaS) Market Company Profile (Key Players)
15.1 Market Share, Company Revenue, Products, M&A, Developments
15.2 Microsoft
15.3 International Business Machine Corporation
15.4 Amazon Web Services
15.5 Google, Inc.
15.6 BigML, Inc.
15.7 FICO
15.8 HP Enterprise
15.9 AT&T
15.10 Yottamine Analytics
15.11 Sift-Science
15.12 Company 11 & more
16 Global Machine Learning as a Service (MLaaS) Market – Appendix
16.1 Sources
16.2 Abbreviations
Unleashing revenue potential through strategic market research involves identifying untapped market opportunities, understanding consumer needs and preferences, and developing targeted strategies to capitalize on them. By leveraging data-driven insights, businesses can optimize product offerings, pricing strategies, and marketing efforts to drive revenue growth and stay ahead of competitors.
