Global Machine Learning Market Overview

Global Machine Learning Market was valued at USD 10.38 billion in 2021 and is expected to reach USD 112.18 billion by the year 2028, at a CAGR of 40.5%.

Machine learning is nothing but part of artificial intelligence (AI). It allows the system to learn automatically and get improved from experience. This technology works on a specific program that can access, process, and analyse different data, and learn new things from that data. Machine learning executes specific tasks smartly and correctly. Machine learning helps computers or programs learn from examples or data. Pre-programmed rules are not required for process operations in machine learning. The main aim of machine learning is to develop independent programs for computers to learn automatically without any interference from human assistance or intervention. Different types of methods are used in the machine learning process such as semi-supervised machine learning algorithms, supervised machine learning algorithms, reinforcement machine learning algorithms, and unsupervised machine learning algorithms. As a result, this technological advancement leads to growth of the market during the forecast period.

Market Dynamics And Factors For Machine Learning Market

Drivers:

Increasing Market for Cloud Computing

Machine learning is nothing but part of artificial intelligence (AI). It allows the system to learn automatically and get improved from experience. This technology works on a specific program that can access, process, and analyse different data, and learn new things from data. Machine learning executes specific tasks smartly and correctly. Machine learning helps computers or programs learn from examples or data. Pre-programmed rules are not required for process operations in machine learning. The main aim of machine learning is to develop independent programs for computers to learn automatically without any interference from human assistance or intervention. Different types of methods are used in the machine learning process such as semi-supervised machine learning algorithms, supervised machine learning algorithms, reinforcement machine learning algorithms, and unsupervised machine learning algorithms. As a result, this technological advancement leads to growth of the market during the forecast period.

Restraints:

The Risk of Data Being Hacked

The main factor that is restraining the growth of the market is the risk of hacking the data which is stored on the platform. The company collects process and analyse the data on the server but data that is available on servers is also at risk of being hacked. Additionally, Depending on the data involved, there is always a risk of destruction or corruption of databases and the leaking of confidential information. Some companies contain highly sensitive databases such as personal details, and formulation of various products, and prefer other methods to store the data. According to Statista, 56% of respondents state experiencing issues with security and suitability requirements when deploying machine learning and artificial intelligence in 2021. These are some factors that are hampering the growth of the market during the projected period.

Opportunities:

Increasing Market for Artificial Intelligence

The machine learning market is growing as a service due to the increasing demand for AI solutions. AI is involved in a variety of technologies for the development and creation of intelligent software or hardware. The software has ability to learn and solve problems. There is increased adoption of analytical solutions which provides growth to the adoption of artificial intelligence AI. Moreover, many companies adopt machine learning during the COVIDE-19 crisis due to its vast application areas. The market size for machine learning is increasing with the high adoption of AI. As a result, there is increasing growth in the machine learning market during the forecast period. For instance, Google invested $10.5 million in Algorithm, a place that allows developers to easily get into its library of 3,500 algorithms and machine learning models.

Segmentation Analysis Of Machine Learning Market

By Type, the cloud segment dominates the growth of the machine learning market over the forecast period. The adoption of cloud-based delivery models for machine learning software for both solutions and services is very high. Cloud-based software provides many advantages such as flexibility, automated software updates, and monitoring document version control, which helps the user to have better control of the system. In addition to this cloud management system provides an advanced solution for the recovery of data incise the data should be deleted unknowingly there is a system called cloud-based backup systems which provides disaster recovery through and data loss prevention. The high security and cloud storage facilities come with the advanced benefits that have resulted in the adoption of cloud-based delivery models for machine learning which is also boosting the market for machine learning.

By Application, the healthcare and life sciences segment anticipated the highest growth in the machine learning market during the forecasted period. Healthcare and Life Sciences sector generates a huge amount of data daily and to maintain the record of that data they have the requirement of highly efficient management technology which provides growth and helps to rise in the demand for the machine learning market. These factors are giving a boost to the market during the forecasted period. According to Statista, It is estimated that the global market size for artificial intelligence in healthcare in 2025 the market will increase roughly to more than 28 billion U.S. dollars.

Regional Analysis Of Machine Learning Market

The North American region is dominating the machine learning market during the forecasted period. North America is a technologically advanced and developed region. It is an economically strong region. The region consists of countries like the US, and Canada which can afford machine learning as service solutions. Moreover, the Defense sector is also contributing to the growth of the market. In addition to this, a strong industry leader presence is also driving the growth of the market as Google, IBM, Microsoft, and Amazon are offerings advanced solutions, and providing updates on already existing software has further led to a rise in demand for machine learning in this region. According to Statista, in 2021, the North American AI market is projected to amount to 20 billion U.S. dollars in revenues, accounting for the bulk of worldwide AI spending

The Asia Pacific is the second dominating region for the machine learning market during the projected period. The adoption of machine learning is increasing and is expected highest growth rate in the Asia Pacific, as compared to the other regions. Asia Pacific is a developing region and to increase business development the region will witness high growth in the adoption of security services, especially in the banking, financial services, and insurance (BFSI) sector. Additionally, most of the industry leader is interested to invest and establish their business in this region due to the presence of developing countries like India, and China. To provide effective services to the customer industry participants are putting in high efforts and realizing the importance of providing multi-modal platforms to give superior customer service. The interest of industry leaders and the high industrial and business development in the countries helps in the expansion of the market in the Asia Pacific region.

The Europe region is the fastest growing region for the machine learning market during the forecasted period. The high growth of artificial intelligence and cognitive computing in this region is expected to contribute to the growth of the market. In addition to this, machine learning provides various industrial applications such as computer vision, predictive analytics, fraud detection & management, and natural language processing. The Europe region consists of large telecom, IT, and managed service providers, and all the advantages provided by the machine learning technology support the growth of the machine learning market in the Europe region.

The Middle East and Africa region is also experiencing the significant growth in the machine learning market during the analysis period. Increasing industrialization in this region contributes to the growth of the economy. The high investment in the Defense sector and technological advancements in the telecommunication industry are boosting the growth of the market. The firms are adopting new technology for growth and development which supports the high adoption of machine learning solutions in this region

Covid-19 Impact Analysis On Machine Learning Market

The COVID-19 pandemic shows differences in the demand for machine learning in 2020. The application of artificial intelligence and machine learning technology is expected to help combat the COVID-19 pandemic. Multiple countries are using population surveillance methods to track and trace COVID-19 cases. For instance, in South Korea, researchers use surveillance camera footage and geo-location data to track coronavirus patients. Using this data, data analytics uses machine intelligence algorithms to deliver the location of the next outbreak and inform the responsible authorities, helping to track disease in real time. As with this, the pandemic also contributes to surging demand for machine intelligence solutions.

Top Key Players Covered In Machine Learning Market

• Amazon Web Services Inc (US)
• Baidu Inc (China)
• BigML Inc (US)
• Fair Isaac Corporation (US)
• Google LLC (US)
• H2Oai(US)
• Hewlett Packard Enterprise Development LP (HPE) (US)
• IBM Corporation (US)
• Intel Corporation (US)
• Microsoft Corporation (US)
• SAP SE (Germany)
• SAS Institute Inc (US) and other major players.

Key Industry Development In The Machine Learning Market

In May 2021, Google Cloud announced the general availability of their AI product Vertex AI; it is a machine learning (ML) platform that allows companies to maintenance of artificial intelligence (AI) models and accelerates their deployment. Vertex AI requires nearly 80% fewer lines of code to train a model in comparison with the first platform, it is new and advanced technology presented by Google.

In June 2022, Nuvei Corporation tomorrow’s payment platform, launched a new risk management model underpinned by cutting-edge machine learning technology to carried out Instant Bank Transfer product in North America region.

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

Chapter 3:Growth Opportunities By Segment
 3.1 By Type
 3.2 By Application

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
 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 Market by Type
 5.1 Machine Learning Market Overview Snapshot and Growth Engine
 5.2 Machine Learning Market Overview
 5.3 Cloud
  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 Cloud: Grographic Segmentation
 5.4 On-Premises
  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 On-Premises: Grographic Segmentation

Chapter 6: Machine Learning Market by Application
 6.1 Machine Learning Market Overview Snapshot and Growth Engine
 6.2 Machine Learning Market Overview
 6.3 BFSI
  6.3.1 Introduction and Market Overview
  6.3.2 Historic and Forecasted Market Size (2016-2028F)
  6.3.3 Key Market Trends, Growth Factors and Opportunities
  6.3.4 BFSI: Grographic Segmentation
 6.4 Healthcare and Life Sciences
  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 Healthcare and Life Sciences: Grographic Segmentation
 6.5 Retail
  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 Retail: Grographic Segmentation
 6.6 Telecommunication
  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 Telecommunication: Grographic Segmentation
 6.7 Government and Defense
  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 Government and Defense: Grographic Segmentation
 6.8 Manufacturing
  6.8.1 Introduction and Market Overview
  6.8.2 Historic and Forecasted Market Size (2016-2028F)
  6.8.3 Key Market Trends, Growth Factors and Opportunities
  6.8.4 Manufacturing: Grographic Segmentation
 6.9 Energy and Utilities
  6.9.1 Introduction and Market Overview
  6.9.2 Historic and Forecasted Market Size (2016-2028F)
  6.9.3 Key Market Trends, Growth Factors and Opportunities
  6.9.4 Energy and Utilities: Grographic Segmentation

Chapter 7: Company Profiles and Competitive Analysis
 7.1 Competitive Landscape
  7.1.1 Competitive Positioning
  7.1.2 Machine Learning Sales and Market Share By Players
  7.1.3 Industry BCG Matrix
  7.1.4 Ansoff Matrix
  7.1.5 Machine Learning Industry Concentration Ratio (CR5 and HHI)
  7.1.6 Top 5 Machine Learning Players Market Share
  7.1.7 Mergers and Acquisitions
  7.1.8 Business Strategies By Top Players
 7.2 AMAZON WEB SERVICES INC
  7.2.1 Company Overview
  7.2.2 Key Executives
  7.2.3 Company Snapshot
  7.2.4 Operating Business Segments
  7.2.5 Product Portfolio
  7.2.6 Business Performance
  7.2.7 Key Strategic Moves and Recent Developments
  7.2.8 SWOT Analysis
 7.3 BAIDU INC
 7.4 BIGML INC
 7.5 FAIR ISAAC CORPORATION
 7.6 GOOGLE LLC
 7.7 H2OAI
 7.8 HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP (HPE)
 7.9 IBM CORPORATION
 7.10 INTEL CORPORATION
 7.11 MICROSOFT CORPORATION
 7.12 SAP SE
 7.13 SAS INSTITUTE INC
 7.14 OTHER MAJOR PLAYERS

Chapter 8: Global Machine Learning Market Analysis, Insights and Forecast, 2016-2028
 8.1 Market Overview
 8.2 Historic and Forecasted Market Size By Type
  8.2.1 Cloud
  8.2.2 On-Premises
 8.3 Historic and Forecasted Market Size By Application
  8.3.1 BFSI
  8.3.2 Healthcare and Life Sciences
  8.3.3 Retail
  8.3.4 Telecommunication
  8.3.5 Government and Defense
  8.3.6 Manufacturing
  8.3.7 Energy and Utilities

Chapter 9: North America Machine Learning Market Analysis, Insights and Forecast, 2016-2028
 9.1 Key Market Trends, Growth Factors and Opportunities
 9.2 Impact of Covid-19
 9.3 Key Players
 9.4 Key Market Trends, Growth Factors and Opportunities
 9.4 Historic and Forecasted Market Size By Type
  9.4.1 Cloud
  9.4.2 On-Premises
 9.5 Historic and Forecasted Market Size By Application
  9.5.1 BFSI
  9.5.2 Healthcare and Life Sciences
  9.5.3 Retail
  9.5.4 Telecommunication
  9.5.5 Government and Defense
  9.5.6 Manufacturing
  9.5.7 Energy and Utilities
 9.6 Historic and Forecast Market Size by Country
  9.6.1 U.S.
  9.6.2 Canada
  9.6.3 Mexico

Chapter 10: Europe Machine Learning Market Analysis, Insights and Forecast, 2016-2028
 10.1 Key Market Trends, Growth Factors and Opportunities
 10.2 Impact of Covid-19
 10.3 Key Players
 10.4 Key Market Trends, Growth Factors and Opportunities
 10.4 Historic and Forecasted Market Size By Type
  10.4.1 Cloud
  10.4.2 On-Premises
 10.5 Historic and Forecasted Market Size By Application
  10.5.1 BFSI
  10.5.2 Healthcare and Life Sciences
  10.5.3 Retail
  10.5.4 Telecommunication
  10.5.5 Government and Defense
  10.5.6 Manufacturing
  10.5.7 Energy and Utilities
 10.6 Historic and Forecast Market Size by Country
  10.6.1 Germany
  10.6.2 U.K.
  10.6.3 France
  10.6.4 Italy
  10.6.5 Russia
  10.6.6 Spain
  10.6.7 Rest of Europe

Chapter 11: Asia-Pacific Machine Learning Market Analysis, Insights and Forecast, 2016-2028
 11.1 Key Market Trends, Growth Factors and Opportunities
 11.2 Impact of Covid-19
 11.3 Key Players
 11.4 Key Market Trends, Growth Factors and Opportunities
 11.4 Historic and Forecasted Market Size By Type
  11.4.1 Cloud
  11.4.2 On-Premises
 11.5 Historic and Forecasted Market Size By Application
  11.5.1 BFSI
  11.5.2 Healthcare and Life Sciences
  11.5.3 Retail
  11.5.4 Telecommunication
  11.5.5 Government and Defense
  11.5.6 Manufacturing
  11.5.7 Energy and Utilities
 11.6 Historic and Forecast Market Size by Country
  11.6.1 China
  11.6.2 India
  11.6.3 Japan
  11.6.4 Singapore
  11.6.5 Australia
  11.6.6 New Zealand
  11.6.7 Rest of APAC

Chapter 12: Middle East & Africa Machine Learning Market Analysis, Insights and Forecast, 2016-2028
 12.1 Key Market Trends, Growth Factors and Opportunities
 12.2 Impact of Covid-19
 12.3 Key Players
 12.4 Key Market Trends, Growth Factors and Opportunities
 12.4 Historic and Forecasted Market Size By Type
  12.4.1 Cloud
  12.4.2 On-Premises
 12.5 Historic and Forecasted Market Size By Application
  12.5.1 BFSI
  12.5.2 Healthcare and Life Sciences
  12.5.3 Retail
  12.5.4 Telecommunication
  12.5.5 Government and Defense
  12.5.6 Manufacturing
  12.5.7 Energy and Utilities
 12.6 Historic and Forecast Market Size by Country
  12.6.1 Turkey
  12.6.2 Saudi Arabia
  12.6.3 Iran
  12.6.4 UAE
  12.6.5 Africa
  12.6.6 Rest of MEA

Chapter 13: South America Machine Learning Market Analysis, Insights and Forecast, 2016-2028
 13.1 Key Market Trends, Growth Factors and Opportunities
 13.2 Impact of Covid-19
 13.3 Key Players
 13.4 Key Market Trends, Growth Factors and Opportunities
 13.4 Historic and Forecasted Market Size By Type
  13.4.1 Cloud
  13.4.2 On-Premises
 13.5 Historic and Forecasted Market Size By Application
  13.5.1 BFSI
  13.5.2 Healthcare and Life Sciences
  13.5.3 Retail
  13.5.4 Telecommunication
  13.5.5 Government and Defense
  13.5.6 Manufacturing
  13.5.7 Energy and Utilities
 13.6 Historic and Forecast Market Size by Country
  13.6.1 Brazil
  13.6.2 Argentina
  13.6.3 Rest of SA

Chapter 14 Investment Analysis

Chapter 15 Analyst Viewpoint and Conclusion

LIST OF TABLES

TABLE 001. EXECUTIVE SUMMARY
TABLE 002. MACHINE LEARNING MARKET BARGAINING POWER OF SUPPLIERS
TABLE 003. MACHINE LEARNING MARKET BARGAINING POWER OF CUSTOMERS
TABLE 004. MACHINE LEARNING MARKET COMPETITIVE RIVALRY
TABLE 005. MACHINE LEARNING MARKET THREAT OF NEW ENTRANTS
TABLE 006. MACHINE LEARNING MARKET THREAT OF SUBSTITUTES
TABLE 007. MACHINE LEARNING MARKET BY TYPE
TABLE 008. CLOUD MARKET OVERVIEW (2016-2028)
TABLE 009. ON-PREMISES MARKET OVERVIEW (2016-2028)
TABLE 010. MACHINE LEARNING MARKET BY APPLICATION
TABLE 011. BFSI MARKET OVERVIEW (2016-2028)
TABLE 012. HEALTHCARE AND LIFE SCIENCES MARKET OVERVIEW (2016-2028)
TABLE 013. RETAIL MARKET OVERVIEW (2016-2028)
TABLE 014. TELECOMMUNICATION MARKET OVERVIEW (2016-2028)
TABLE 015. GOVERNMENT AND DEFENSE MARKET OVERVIEW (2016-2028)
TABLE 016. MANUFACTURING MARKET OVERVIEW (2016-2028)
TABLE 017. ENERGY AND UTILITIES MARKET OVERVIEW (2016-2028)
TABLE 018. NORTH AMERICA MACHINE LEARNING MARKET, BY TYPE (2016-2028)
TABLE 019. NORTH AMERICA MACHINE LEARNING MARKET, BY APPLICATION (2016-2028)
TABLE 020. N MACHINE LEARNING MARKET, BY COUNTRY (2016-2028)
TABLE 021. EUROPE MACHINE LEARNING MARKET, BY TYPE (2016-2028)
TABLE 022. EUROPE MACHINE LEARNING MARKET, BY APPLICATION (2016-2028)
TABLE 023. MACHINE LEARNING MARKET, BY COUNTRY (2016-2028)
TABLE 024. ASIA PACIFIC MACHINE LEARNING MARKET, BY TYPE (2016-2028)
TABLE 025. ASIA PACIFIC MACHINE LEARNING MARKET, BY APPLICATION (2016-2028)
TABLE 026. MACHINE LEARNING MARKET, BY COUNTRY (2016-2028)
TABLE 027. MIDDLE EAST & AFRICA MACHINE LEARNING MARKET, BY TYPE (2016-2028)
TABLE 028. MIDDLE EAST & AFRICA MACHINE LEARNING MARKET, BY APPLICATION (2016-2028)
TABLE 029. MACHINE LEARNING MARKET, BY COUNTRY (2016-2028)
TABLE 030. SOUTH AMERICA MACHINE LEARNING MARKET, BY TYPE (2016-2028)
TABLE 031. SOUTH AMERICA MACHINE LEARNING MARKET, BY APPLICATION (2016-2028)
TABLE 032. MACHINE LEARNING MARKET, BY COUNTRY (2016-2028)
TABLE 033. AMAZON WEB SERVICES INC: SNAPSHOT
TABLE 034. AMAZON WEB SERVICES INC: BUSINESS PERFORMANCE
TABLE 035. AMAZON WEB SERVICES INC: PRODUCT PORTFOLIO
TABLE 036. AMAZON WEB SERVICES INC: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 036. BAIDU INC: SNAPSHOT
TABLE 037. BAIDU INC: BUSINESS PERFORMANCE
TABLE 038. BAIDU INC: PRODUCT PORTFOLIO
TABLE 039. BAIDU INC: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 039. BIGML INC: SNAPSHOT
TABLE 040. BIGML INC: BUSINESS PERFORMANCE
TABLE 041. BIGML INC: PRODUCT PORTFOLIO
TABLE 042. BIGML INC: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 042. FAIR ISAAC CORPORATION: SNAPSHOT
TABLE 043. FAIR ISAAC CORPORATION: BUSINESS PERFORMANCE
TABLE 044. FAIR ISAAC CORPORATION: PRODUCT PORTFOLIO
TABLE 045. FAIR ISAAC CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 045. GOOGLE LLC: SNAPSHOT
TABLE 046. GOOGLE LLC: BUSINESS PERFORMANCE
TABLE 047. GOOGLE LLC: PRODUCT PORTFOLIO
TABLE 048. GOOGLE LLC: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 048. H2OAI: SNAPSHOT
TABLE 049. H2OAI: BUSINESS PERFORMANCE
TABLE 050. H2OAI: PRODUCT PORTFOLIO
TABLE 051. H2OAI: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 051. HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP (HPE): SNAPSHOT
TABLE 052. HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP (HPE): BUSINESS PERFORMANCE
TABLE 053. HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP (HPE): PRODUCT PORTFOLIO
TABLE 054. HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP (HPE): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 054. IBM CORPORATION: SNAPSHOT
TABLE 055. IBM CORPORATION: BUSINESS PERFORMANCE
TABLE 056. IBM CORPORATION: PRODUCT PORTFOLIO
TABLE 057. IBM CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 057. INTEL CORPORATION: SNAPSHOT
TABLE 058. INTEL CORPORATION: BUSINESS PERFORMANCE
TABLE 059. INTEL CORPORATION: PRODUCT PORTFOLIO
TABLE 060. INTEL CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 060. MICROSOFT CORPORATION: SNAPSHOT
TABLE 061. MICROSOFT CORPORATION: BUSINESS PERFORMANCE
TABLE 062. MICROSOFT CORPORATION: PRODUCT PORTFOLIO
TABLE 063. MICROSOFT CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 063. SAP SE: SNAPSHOT
TABLE 064. SAP SE: BUSINESS PERFORMANCE
TABLE 065. SAP SE: PRODUCT PORTFOLIO
TABLE 066. SAP SE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 066. SAS INSTITUTE INC: SNAPSHOT
TABLE 067. SAS INSTITUTE INC: BUSINESS PERFORMANCE
TABLE 068. SAS INSTITUTE INC: PRODUCT PORTFOLIO
TABLE 069. SAS INSTITUTE INC: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 069. OTHER MAJOR PLAYERS: SNAPSHOT
TABLE 070. OTHER MAJOR PLAYERS: BUSINESS PERFORMANCE
TABLE 071. OTHER MAJOR PLAYERS: PRODUCT PORTFOLIO
TABLE 072. OTHER MAJOR PLAYERS: KEY STRATEGIC MOVES AND DEVELOPMENTS

LIST OF FIGURES

FIGURE 001. YEARS CONSIDERED FOR ANALYSIS
FIGURE 002. SCOPE OF THE STUDY
FIGURE 003. MACHINE LEARNING MARKET OVERVIEW BY REGIONS
FIGURE 004. PORTER'S FIVE FORCES ANALYSIS
FIGURE 005. BARGAINING POWER OF SUPPLIERS
FIGURE 006. COMPETITIVE RIVALRYFIGURE 007. THREAT OF NEW ENTRANTS
FIGURE 008. THREAT OF SUBSTITUTES
FIGURE 009. VALUE CHAIN ANALYSIS
FIGURE 010. PESTLE ANALYSIS
FIGURE 011. MACHINE LEARNING MARKET OVERVIEW BY TYPE
FIGURE 012. CLOUD MARKET OVERVIEW (2016-2028)
FIGURE 013. ON-PREMISES MARKET OVERVIEW (2016-2028)
FIGURE 014. MACHINE LEARNING MARKET OVERVIEW BY APPLICATION
FIGURE 015. BFSI MARKET OVERVIEW (2016-2028)
FIGURE 016. HEALTHCARE AND LIFE SCIENCES MARKET OVERVIEW (2016-2028)
FIGURE 017. RETAIL MARKET OVERVIEW (2016-2028)
FIGURE 018. TELECOMMUNICATION MARKET OVERVIEW (2016-2028)
FIGURE 019. GOVERNMENT AND DEFENSE MARKET OVERVIEW (2016-2028)
FIGURE 020. MANUFACTURING MARKET OVERVIEW (2016-2028)
FIGURE 021. ENERGY AND UTILITIES MARKET OVERVIEW (2016-2028)
FIGURE 022. NORTH AMERICA MACHINE LEARNING MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 023. EUROPE MACHINE LEARNING MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 024. ASIA PACIFIC MACHINE LEARNING MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 025. MIDDLE EAST & AFRICA MACHINE LEARNING MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 026. SOUTH AMERICA MACHINE LEARNING MARKET OVERVIEW BY COUNTRY (2016-2028)