1 of 4
FEATURED COMPANIES
- Amazon Web Services, Inc.
- Baidu, Inc.
- Dell Technologies, Inc.
- Fractal Analytics
- Google, Inc.
- Intel Corporation
- MORE
Market Outlook
This research has estimated the global machine learning market to witness 34.19% of CAGR over the forecast period 2019-2027. The concept of machine learning deals with a computer system’s ability to learn on its own, making accurate predictions without explicit programming. The rise in the implementation of data-driven applications and the augmented demand for intelligent business processes are fueling the demand for the machine learning market.
The expanding data volume across the world, significant developments in the field of artificial intelligence & machine learning and the widening applications of ML in different end-use industries are pushing the growth of the global market for machine learning. Moreover, the incorporation of AI & ML with Big Data, rise in the adoption of IoT-connected devices, smart robot development and the mushrooming of start-ups in ML are factors providing potential for market growth.
The hardware & software systems within a machine learning system are at risk of encountering numerous problems, which may lead to its malfunctioning, which, in turn, would disrupt the ML services. Also, machine learning algorithms have several applications, which make them sensitive to various data security threats. Thus, failure of components and inability to secure private & sensitive data are factors restraining market growth. Further, computational and technological barriers also pose a challenge for the growth of the machine learning market.
Regional Outlook
The global market for machine learning covers the regions of North America, the Asia-Pacific, Latin America, Europe and the Middle East and Africa.
The Asia-Pacific market for machine learning is the fastest-growing, globally, registering the highest CAGR. The rising adoption of Big Data and cloud services in APAC countries like Japan, India and China have led to the rise in the adoption of machine learning in the region. This has fueled the growth of Asia-Pacific’s machine learning market. As renowned market players looking to enter APAC, high growth is expected for the machine learning market in this region. Moreover, the widespread applications of AI and the government initiatives to promote ML and other such technologies also act as driving factors for the market.
Competitive Outlook
The companies competing in the global machine learning market are Intel Corporation, Clarivate Analytics LLC (TrademarkVision), Hewlett Packard Enterprise Company (HPE), Amazon Web Services, Inc., Dell Technologies, Inc., TIBCO Software, Inc., Fair Isaac Corporation (FICO), IBM Corporation (International Business Machines), Microsoft Corporation, Google, Inc., SAP SE, Teradata Corporation, Oracle Corporation, Fractal Analytics and Baidu, Inc.
Microsoft Corporation is a global leading tech giant in the field of software products & services. It is one of the key research organizations in the field of computer science, working closely with reputed universities in the world to advance the state-of-the-art in the field. Azure Machine Learning Studio by Microsoft is an integrated, end-to-end data science & advanced analytics solution. Microsoft Cloud supports a wide range of platforms and developer tools on Azure; more than 80% of the world’s largest banks are Azure’s customers. Microsoft has a wide presence across the globe, covering the regions of North America, the Asia-Pacific, Europe, Latin America and the Middle East and Africa. It is one of the fortune 100 multinational companies, operating in over 100 countries in the world.
This research has estimated the global machine learning market to witness 34.19% of CAGR over the forecast period 2019-2027. The concept of machine learning deals with a computer system’s ability to learn on its own, making accurate predictions without explicit programming. The rise in the implementation of data-driven applications and the augmented demand for intelligent business processes are fueling the demand for the machine learning market.
The expanding data volume across the world, significant developments in the field of artificial intelligence & machine learning and the widening applications of ML in different end-use industries are pushing the growth of the global market for machine learning. Moreover, the incorporation of AI & ML with Big Data, rise in the adoption of IoT-connected devices, smart robot development and the mushrooming of start-ups in ML are factors providing potential for market growth.
The hardware & software systems within a machine learning system are at risk of encountering numerous problems, which may lead to its malfunctioning, which, in turn, would disrupt the ML services. Also, machine learning algorithms have several applications, which make them sensitive to various data security threats. Thus, failure of components and inability to secure private & sensitive data are factors restraining market growth. Further, computational and technological barriers also pose a challenge for the growth of the machine learning market.
Regional Outlook
The global market for machine learning covers the regions of North America, the Asia-Pacific, Latin America, Europe and the Middle East and Africa.
The Asia-Pacific market for machine learning is the fastest-growing, globally, registering the highest CAGR. The rising adoption of Big Data and cloud services in APAC countries like Japan, India and China have led to the rise in the adoption of machine learning in the region. This has fueled the growth of Asia-Pacific’s machine learning market. As renowned market players looking to enter APAC, high growth is expected for the machine learning market in this region. Moreover, the widespread applications of AI and the government initiatives to promote ML and other such technologies also act as driving factors for the market.
Competitive Outlook
The companies competing in the global machine learning market are Intel Corporation, Clarivate Analytics LLC (TrademarkVision), Hewlett Packard Enterprise Company (HPE), Amazon Web Services, Inc., Dell Technologies, Inc., TIBCO Software, Inc., Fair Isaac Corporation (FICO), IBM Corporation (International Business Machines), Microsoft Corporation, Google, Inc., SAP SE, Teradata Corporation, Oracle Corporation, Fractal Analytics and Baidu, Inc.
Microsoft Corporation is a global leading tech giant in the field of software products & services. It is one of the key research organizations in the field of computer science, working closely with reputed universities in the world to advance the state-of-the-art in the field. Azure Machine Learning Studio by Microsoft is an integrated, end-to-end data science & advanced analytics solution. Microsoft Cloud supports a wide range of platforms and developer tools on Azure; more than 80% of the world’s largest banks are Azure’s customers. Microsoft has a wide presence across the globe, covering the regions of North America, the Asia-Pacific, Europe, Latin America and the Middle East and Africa. It is one of the fortune 100 multinational companies, operating in over 100 countries in the world.
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2 of 4
FEATURED COMPANIES
- Amazon Web Services, Inc.
- Baidu, Inc.
- Dell Technologies, Inc.
- Fractal Analytics
- Google, Inc.
- Intel Corporation
- MORE
1. Global Machine Learning Market - Summary
2. Industry Outlook
2.1. Market Definition
2.2. Evolution & Transition Of Machine Learning
2.3. Key Insights
2.3.1. Rise In Implementation Of Data-Driven Applications
2.3.2. Augmented Demand For Intelligent Business Processes
2.3.3. Machine Learning Start-Ups Transforming The Industry
2.4. Porter’S Five Forces Analysis
2.4.1. Bargaining Power Of Buyers
2.4.2. Bargaining Power Of Suppliers
2.4.3. Threat Of New Entrants
2.4.4. Threat Of Substitute
2.4.5. Threat Of Competitive Rivalry
2.5. Key Impact Analysis
2.5.1. Cost
2.5.2. Application
2.5.3. Scalability
2.5.4. Training Time
2.6. Market Attractiveness Index
2.7. Vendor Scorecard
2.8. Industry Components
2.8.1. Software Development
2.8.2. Cloud
2.8.3. Users
2.9. Patent Analysis
2.10. Industry Player Positioning
2.11. Market Drivers
2.11.1. Expanding Data Volume Across The World
2.11.2. Widening Application Of Ml In Different End-Use Industries
2.11.3. Significant Developments In The Field Of Machine Learning
2.12. Market Restraints
2.12.1. Difficulties In Protecting Sensitive & Private Data
2.12.2. Components’ Failure May Disrupt Ml Service
2.13. Market Opportunities
2.13.1. Incorporation Of Artificial Intelligence & Machine Learning With Big Data
2.13.2. Development Of Smart Robots
2.13.3. Increasing Adoption Of Iot-Connected Devices
2.14. Market Challenges
2.14.1. Technological & Computational Barriers
3. Global Machine Learning Market Outlook - By Deployment Mode
3.1. Cloud
3.2. On-Premises
4. Global Machine Learning Market Outlook - By Organization Size
4.1. Large Enterprises
4.2. Small & Medium-Sized Enterprises (Smes)
5. Global Machine Learning Market Outlook - By Service
5.1. Professional Services
5.2. Managed Services
6. Global Machine Learning Market Outlook - By End-User
6.1. Banking, Financial Services & Insurance (Bfsi)
6.2. Healthcare & Life Sciences
6.3. Retail
6.4. Telecommunication
6.5. Government & Defense
6.6. Manufacturing
6.7. Media & Advertising
6.8. Energy & Utilities
6.9. Other End-Users
7. Global Machine Learning Market - Regional Outlook
7.1. North America
7.1.1. Market By Deployment Mode
7.1.2. Market By Organization Size
7.1.3. Market By Service
7.1.4. Market By End-User
7.1.5. Country Analysis
7.1.5.1. United States
7.1.5.2. Canada
7.2. Europe
7.2.1. Market By Deployment Mode
7.2.2. Market By Organization Size
7.2.3. Market By Service
7.2.4. Market By End-User
7.2.5. Country Analysis
7.2.5.1. United Kingdom
7.2.5.2. Germany
7.2.5.3. France
7.2.5.4. Spain
7.2.5.5. Italy
7.2.5.6. Russia
7.2.5.7. Rest Of Europe
7.3. Asia-Pacific
7.3.1. Market By Deployment Mode
7.3.2. Market By Organization Size
7.3.3. Market By Service
7.3.4. Market By End-User
7.3.5. Country Analysis
7.3.5.1. China
7.3.5.2. Japan
7.3.5.3. India
7.3.5.4. South Korea
7.3.5.5. Asean Countries
7.3.5.6. Australia & New Zealand
7.3.5.7. Rest Of Asia-Pacific
7.4. Latin America
7.4.1. Market By Deployment Mode
7.4.2. Market By Organization Size
7.4.3. Market By Service
7.4.4. Market By End-User
7.4.5. Country Analysis
7.4.5.1. Brazil
7.4.5.2. Mexico
7.4.5.3. Rest Of Latin America
7.5. Middle East And Africa
7.5.1. Market By Deployment Mode
7.5.2. Market By Organization Size
7.5.3. Market By Service
7.5.4. Market By End-User
7.5.5. Country Analysis
7.5.5.1. United Arab Emirates
7.5.5.2. Turkey
7.5.5.3. Saudi Arabia
7.5.5.4. South Africa
7.5.5.5. Rest Of Middle East & Africa
8. Competitive Landscape
8.1. Tibco Software, Inc.
8.2. Sap Se
8.3. Oracle Corporation
8.4. Teradata Corporation
8.5. Amazon Web Services, Inc.
8.6. Microsoft Corporation
8.7. Intel Corporation
8.8. Fractal Analytics
8.9. Google, Inc.
8.10. Baidu, Inc.
8.11. Fair Isaac Corporation (Fico)
8.12. Ibm Corporation (International Business Machines)
8.13. Hewlett Packard Enterprise Company (Hpe)
8.14. Dell Technologies, Inc.
8.15. Clarivate Analytics Llc (Trademarkvision)
9. Research Methodology & Scope
9.1. Research Scope & Deliverables
9.2. Sources Of Data
9.3. Research Methodology
Table List
Table 1: Global Machine Learning Market, By Geography, 2019-2027 (In $ Million)
Table 2: Evolution & Transition Of Machine Learning
Table 3: List Of Prominent Start-Ups In Machine Learning
Table 4: Vendor Scorecard
Table 5: Patents Filled In Machine Learning By Key Technology Companies, 2018
Table 6: Top 20 First Patent Filers In Machine Learning In 2016
Table 7: Global Machine Learning Market, By Deployment Mode, 2019-2027 (In $ Million)
Table 8: Global Machine Learning Market, By Organization Size, 2019-2027 (In $ Million)
Table 9: Global Machine Learning Market, By Service, 2019-2027 (In $ Million)
Table 10: Global Machine Learning Market, By End-User, 2019-2027 (In $ Million)
Table 11: Global Machine Learning Market, By Geography, 2019-2027 (In $ Million)
Table 12: North America Machine Learning Market, By Country, 2019-2027 (In $ Million)
Table 13: North America Machine Learning Market, By Deployment Mode, 2019-2027 (In $ Million)
Table 14: North America Machine Learning Market, By Organization Size, 2019-2027 (In $ Million)
Table 15: North America Machine Learning Market, By Service, 2019-2027 (In $ Million)
Table 16: North America Machine Learning Market, By End-User, 2019-2027 (In $ Million)
Table 17: Europe Machine Learning Market, By Country, 2019-2027 (In $ Million)
Table 18: Europe Machine Learning Market, By Deployment Mode, 2019-2027 (In $ Million)
Table 19: Europe Machine Learning Market, By Organization Size, 2019-2027 (In $ Million)
Table 20: Europe Machine Learning Market, By Service, 2019-2027 (In $ Million)
Table 21: Europe Machine Learning Market, By End-User, 2019-2027 (In $ Million)
Table 22: Asia-Pacific Machine Learning Market, By Country, 2019-2027 (In $ Million)
Table 23: Asia-Pacific Machine Learning Market, By Deployment Mode, 2019-2027 (In $ Million)
Table 24: Asia-Pacific Machine Learning Market, By Organization Size, 2019-2027 (In $ Million)
Table 25: Asia-Pacific Machine Learning Market, By Service, 2019-2027 (In $ Million)
Table 26: Asia-Pacific Machine Learning Market, By End-User, 2019-2027 (In $ Million)
Table 27: Latin America Machine Learning Market, By Country, 2019-2027 (In $ Million)
Table 28: Latin America Machine Learning Market, By Deployment Mode, 2019-2027 (In $ Million)
Table 29: Latin America Machine Learning Market, By Organization Size, 2019-2027 (In $ Million)
Table 30: Latin America Machine Learning Market, By Service, 2019-2027 (In $ Million)
Table 31: Latin America Machine Learning Market, By End-User, 2019-2027 (In $ Million)
Table 32: Middle East And Africa Machine Learning Market, By Country, 2019-2027 (In $ Million)
Table 33: Middle East And Africa Machine Learning Market, By Deployment Mode, 2019-2027 (In $ Million)
Table 34: Middle East And Africa Machine Learning Market, By Organization Size, 2019-2027 (In $ Million)
Table 35: Middle East And Africa Machine Learning Market, By Service, 2019-2027 (In $ Million)
Table 36: Middle East And Africa Machine Learning Market, By End-User, 2019-2027 (In $ Million)
Figure List
Figure 1: Key Buying Impact Analysis
Figure 2: Market Attractiveness Index
Figure 3: Industry Components
Figure 4: Industry Player Positioning In 2018 (In %)
Figure 5: Volume Of Data Created Worldwide, 2010-2025 (In Zettabytes)
Figure 6: Number Of Connected Devices Worldwide, 2015-2025
Figure 7: Global Machine Learning Market, By Cloud, 2019-2027 (In $ Million)
Figure 8: Global Machine Learning Market, By On-Premises, 2019-2027 (In $ Million)
Figure 9: Global Machine Learning Market, By Large Enterprises, 2019-2027 (In $ Million)
Figure 10: Global Machine Learning Market, By Small & Medium-Sized Enterprises (Smes), 2019-2027 (In $ Million)
Figure 11: Global Machine Learning Market, By Professional Services, 2019-2027 (In $ Million)
Figure 12: Global Machine Learning Market, By Managed Services, 2019-2027 (In $ Million)
Figure 13: Global Machine Learning Market, By Banking, Financial Services & Insurance (Bfsi), 2019-2027 (In $ Million)
Figure 14: Global Machine Learning Market, By Healthcare & Life Sciences, 2019-2027 (In $ Million)
Figure 15: Global Machine Learning Market, By Retail, 2019-2027 (In $ Million)
Figure 16: Global Machine Learning Market, By Telecommunication, 2019-2027 (In $ Million)
Figure 17: Global Machine Learning Market, By Government & Defense, 2019-2027 (In $ Million)
Figure 18: Global Machine Learning Market, By Manufacturing, 2019-2027 (In $ Million)
Figure 19: Global Machine Learning Market, By Media & Advertising, 2019-2027 (In $ Million)
Figure 20: Global Machine Learning Market, By Energy & Utilities, 2019-2027 (In $ Million)
Figure 21: Global Machine Learning Market, By Other End-Users, 2019-2027 (In $ Million)
Figure 22: Global Machine Learning Market, Regional Outlook, 2018 & 2027 (In %)
Figure 23: United States Machine Learning Market, 2019-2027 (In $ Million)
Figure 24: Canada Machine Learning Market, 2019-2027 (In $ Million)
Figure 25: United Kingdom Machine Learning Market, 2019-2027 (In $ Million)
Figure 26: Germany Machine Learning Market, 2019-2027 (In $ Million)
Figure 27: France Machine Learning Market, 2019-2027 (In $ Million)
Figure 28: Spain Machine Learning Market, 2019-2027 (In $ Million)
Figure 29: Italy Machine Learning Market, 2019-2027 (In $ Million)
Figure 30: Russia Machine Learning Market, 2019-2027 (In $ Million)
Figure 31: Rest Of Europe Machine Learning Market, 2019-2027 (In $ Million)
Figure 32: China Machine Learning Market, 2019-2027 (In $ Million)
Figure 33: Japan Machine Learning Market, 2019-2027 (In $ Million)
Figure 34: India Machine Learning Market, 2019-2027 (In $ Million)
Figure 35: South Korea Machine Learning Market, 2019-2027 (In $ Million)
Figure 36: Asean Countries Machine Learning Market, 2019-2027 (In $ Million)
Figure 37: Australia & New Zealand Machine Learning Market, 2019-2027 (In $ Million)
Figure 38: Rest Of Asia-Pacific Machine Learning Market, 2019-2027 (In $ Million)
Figure 39: Brazil Machine Learning Market, 2019-2027 (In $ Million)
Figure 40: Mexico Machine Learning Market, 2019-2027 (In $ Million)
Figure 41: Rest Of Latin America Machine Learning Market, 2019-2027 (In $ Million)
Figure 42: United Arab Emirates Machine Learning Market, 2019-2027 (In $ Million)
Figure 43: Turkey Machine Learning Market, 2019-2027 (In $ Million)
Figure 44: Saudi Arabia Machine Learning Market, 2019-2027 (In $ Million)
Figure 45: South Africa Machine Learning Market, 2019-2027 (In $ Million)
Figure 46: Rest Of Middle East & Africa Machine Learning Market, 2019-2027 (In $ Million)
2. Industry Outlook
2.1. Market Definition
2.2. Evolution & Transition Of Machine Learning
2.3. Key Insights
2.3.1. Rise In Implementation Of Data-Driven Applications
2.3.2. Augmented Demand For Intelligent Business Processes
2.3.3. Machine Learning Start-Ups Transforming The Industry
2.4. Porter’S Five Forces Analysis
2.4.1. Bargaining Power Of Buyers
2.4.2. Bargaining Power Of Suppliers
2.4.3. Threat Of New Entrants
2.4.4. Threat Of Substitute
2.4.5. Threat Of Competitive Rivalry
2.5. Key Impact Analysis
2.5.1. Cost
2.5.2. Application
2.5.3. Scalability
2.5.4. Training Time
2.6. Market Attractiveness Index
2.7. Vendor Scorecard
2.8. Industry Components
2.8.1. Software Development
2.8.2. Cloud
2.8.3. Users
2.9. Patent Analysis
2.10. Industry Player Positioning
2.11. Market Drivers
2.11.1. Expanding Data Volume Across The World
2.11.2. Widening Application Of Ml In Different End-Use Industries
2.11.3. Significant Developments In The Field Of Machine Learning
2.12. Market Restraints
2.12.1. Difficulties In Protecting Sensitive & Private Data
2.12.2. Components’ Failure May Disrupt Ml Service
2.13. Market Opportunities
2.13.1. Incorporation Of Artificial Intelligence & Machine Learning With Big Data
2.13.2. Development Of Smart Robots
2.13.3. Increasing Adoption Of Iot-Connected Devices
2.14. Market Challenges
2.14.1. Technological & Computational Barriers
3. Global Machine Learning Market Outlook - By Deployment Mode
3.1. Cloud
3.2. On-Premises
4. Global Machine Learning Market Outlook - By Organization Size
4.1. Large Enterprises
4.2. Small & Medium-Sized Enterprises (Smes)
5. Global Machine Learning Market Outlook - By Service
5.1. Professional Services
5.2. Managed Services
6. Global Machine Learning Market Outlook - By End-User
6.1. Banking, Financial Services & Insurance (Bfsi)
6.2. Healthcare & Life Sciences
6.3. Retail
6.4. Telecommunication
6.5. Government & Defense
6.6. Manufacturing
6.7. Media & Advertising
6.8. Energy & Utilities
6.9. Other End-Users
7. Global Machine Learning Market - Regional Outlook
7.1. North America
7.1.1. Market By Deployment Mode
7.1.2. Market By Organization Size
7.1.3. Market By Service
7.1.4. Market By End-User
7.1.5. Country Analysis
7.1.5.1. United States
7.1.5.2. Canada
7.2. Europe
7.2.1. Market By Deployment Mode
7.2.2. Market By Organization Size
7.2.3. Market By Service
7.2.4. Market By End-User
7.2.5. Country Analysis
7.2.5.1. United Kingdom
7.2.5.2. Germany
7.2.5.3. France
7.2.5.4. Spain
7.2.5.5. Italy
7.2.5.6. Russia
7.2.5.7. Rest Of Europe
7.3. Asia-Pacific
7.3.1. Market By Deployment Mode
7.3.2. Market By Organization Size
7.3.3. Market By Service
7.3.4. Market By End-User
7.3.5. Country Analysis
7.3.5.1. China
7.3.5.2. Japan
7.3.5.3. India
7.3.5.4. South Korea
7.3.5.5. Asean Countries
7.3.5.6. Australia & New Zealand
7.3.5.7. Rest Of Asia-Pacific
7.4. Latin America
7.4.1. Market By Deployment Mode
7.4.2. Market By Organization Size
7.4.3. Market By Service
7.4.4. Market By End-User
7.4.5. Country Analysis
7.4.5.1. Brazil
7.4.5.2. Mexico
7.4.5.3. Rest Of Latin America
7.5. Middle East And Africa
7.5.1. Market By Deployment Mode
7.5.2. Market By Organization Size
7.5.3. Market By Service
7.5.4. Market By End-User
7.5.5. Country Analysis
7.5.5.1. United Arab Emirates
7.5.5.2. Turkey
7.5.5.3. Saudi Arabia
7.5.5.4. South Africa
7.5.5.5. Rest Of Middle East & Africa
8. Competitive Landscape
8.1. Tibco Software, Inc.
8.2. Sap Se
8.3. Oracle Corporation
8.4. Teradata Corporation
8.5. Amazon Web Services, Inc.
8.6. Microsoft Corporation
8.7. Intel Corporation
8.8. Fractal Analytics
8.9. Google, Inc.
8.10. Baidu, Inc.
8.11. Fair Isaac Corporation (Fico)
8.12. Ibm Corporation (International Business Machines)
8.13. Hewlett Packard Enterprise Company (Hpe)
8.14. Dell Technologies, Inc.
8.15. Clarivate Analytics Llc (Trademarkvision)
9. Research Methodology & Scope
9.1. Research Scope & Deliverables
9.2. Sources Of Data
9.3. Research Methodology
Table List
Table 1: Global Machine Learning Market, By Geography, 2019-2027 (In $ Million)
Table 2: Evolution & Transition Of Machine Learning
Table 3: List Of Prominent Start-Ups In Machine Learning
Table 4: Vendor Scorecard
Table 5: Patents Filled In Machine Learning By Key Technology Companies, 2018
Table 6: Top 20 First Patent Filers In Machine Learning In 2016
Table 7: Global Machine Learning Market, By Deployment Mode, 2019-2027 (In $ Million)
Table 8: Global Machine Learning Market, By Organization Size, 2019-2027 (In $ Million)
Table 9: Global Machine Learning Market, By Service, 2019-2027 (In $ Million)
Table 10: Global Machine Learning Market, By End-User, 2019-2027 (In $ Million)
Table 11: Global Machine Learning Market, By Geography, 2019-2027 (In $ Million)
Table 12: North America Machine Learning Market, By Country, 2019-2027 (In $ Million)
Table 13: North America Machine Learning Market, By Deployment Mode, 2019-2027 (In $ Million)
Table 14: North America Machine Learning Market, By Organization Size, 2019-2027 (In $ Million)
Table 15: North America Machine Learning Market, By Service, 2019-2027 (In $ Million)
Table 16: North America Machine Learning Market, By End-User, 2019-2027 (In $ Million)
Table 17: Europe Machine Learning Market, By Country, 2019-2027 (In $ Million)
Table 18: Europe Machine Learning Market, By Deployment Mode, 2019-2027 (In $ Million)
Table 19: Europe Machine Learning Market, By Organization Size, 2019-2027 (In $ Million)
Table 20: Europe Machine Learning Market, By Service, 2019-2027 (In $ Million)
Table 21: Europe Machine Learning Market, By End-User, 2019-2027 (In $ Million)
Table 22: Asia-Pacific Machine Learning Market, By Country, 2019-2027 (In $ Million)
Table 23: Asia-Pacific Machine Learning Market, By Deployment Mode, 2019-2027 (In $ Million)
Table 24: Asia-Pacific Machine Learning Market, By Organization Size, 2019-2027 (In $ Million)
Table 25: Asia-Pacific Machine Learning Market, By Service, 2019-2027 (In $ Million)
Table 26: Asia-Pacific Machine Learning Market, By End-User, 2019-2027 (In $ Million)
Table 27: Latin America Machine Learning Market, By Country, 2019-2027 (In $ Million)
Table 28: Latin America Machine Learning Market, By Deployment Mode, 2019-2027 (In $ Million)
Table 29: Latin America Machine Learning Market, By Organization Size, 2019-2027 (In $ Million)
Table 30: Latin America Machine Learning Market, By Service, 2019-2027 (In $ Million)
Table 31: Latin America Machine Learning Market, By End-User, 2019-2027 (In $ Million)
Table 32: Middle East And Africa Machine Learning Market, By Country, 2019-2027 (In $ Million)
Table 33: Middle East And Africa Machine Learning Market, By Deployment Mode, 2019-2027 (In $ Million)
Table 34: Middle East And Africa Machine Learning Market, By Organization Size, 2019-2027 (In $ Million)
Table 35: Middle East And Africa Machine Learning Market, By Service, 2019-2027 (In $ Million)
Table 36: Middle East And Africa Machine Learning Market, By End-User, 2019-2027 (In $ Million)
Figure List
Figure 1: Key Buying Impact Analysis
Figure 2: Market Attractiveness Index
Figure 3: Industry Components
Figure 4: Industry Player Positioning In 2018 (In %)
Figure 5: Volume Of Data Created Worldwide, 2010-2025 (In Zettabytes)
Figure 6: Number Of Connected Devices Worldwide, 2015-2025
Figure 7: Global Machine Learning Market, By Cloud, 2019-2027 (In $ Million)
Figure 8: Global Machine Learning Market, By On-Premises, 2019-2027 (In $ Million)
Figure 9: Global Machine Learning Market, By Large Enterprises, 2019-2027 (In $ Million)
Figure 10: Global Machine Learning Market, By Small & Medium-Sized Enterprises (Smes), 2019-2027 (In $ Million)
Figure 11: Global Machine Learning Market, By Professional Services, 2019-2027 (In $ Million)
Figure 12: Global Machine Learning Market, By Managed Services, 2019-2027 (In $ Million)
Figure 13: Global Machine Learning Market, By Banking, Financial Services & Insurance (Bfsi), 2019-2027 (In $ Million)
Figure 14: Global Machine Learning Market, By Healthcare & Life Sciences, 2019-2027 (In $ Million)
Figure 15: Global Machine Learning Market, By Retail, 2019-2027 (In $ Million)
Figure 16: Global Machine Learning Market, By Telecommunication, 2019-2027 (In $ Million)
Figure 17: Global Machine Learning Market, By Government & Defense, 2019-2027 (In $ Million)
Figure 18: Global Machine Learning Market, By Manufacturing, 2019-2027 (In $ Million)
Figure 19: Global Machine Learning Market, By Media & Advertising, 2019-2027 (In $ Million)
Figure 20: Global Machine Learning Market, By Energy & Utilities, 2019-2027 (In $ Million)
Figure 21: Global Machine Learning Market, By Other End-Users, 2019-2027 (In $ Million)
Figure 22: Global Machine Learning Market, Regional Outlook, 2018 & 2027 (In %)
Figure 23: United States Machine Learning Market, 2019-2027 (In $ Million)
Figure 24: Canada Machine Learning Market, 2019-2027 (In $ Million)
Figure 25: United Kingdom Machine Learning Market, 2019-2027 (In $ Million)
Figure 26: Germany Machine Learning Market, 2019-2027 (In $ Million)
Figure 27: France Machine Learning Market, 2019-2027 (In $ Million)
Figure 28: Spain Machine Learning Market, 2019-2027 (In $ Million)
Figure 29: Italy Machine Learning Market, 2019-2027 (In $ Million)
Figure 30: Russia Machine Learning Market, 2019-2027 (In $ Million)
Figure 31: Rest Of Europe Machine Learning Market, 2019-2027 (In $ Million)
Figure 32: China Machine Learning Market, 2019-2027 (In $ Million)
Figure 33: Japan Machine Learning Market, 2019-2027 (In $ Million)
Figure 34: India Machine Learning Market, 2019-2027 (In $ Million)
Figure 35: South Korea Machine Learning Market, 2019-2027 (In $ Million)
Figure 36: Asean Countries Machine Learning Market, 2019-2027 (In $ Million)
Figure 37: Australia & New Zealand Machine Learning Market, 2019-2027 (In $ Million)
Figure 38: Rest Of Asia-Pacific Machine Learning Market, 2019-2027 (In $ Million)
Figure 39: Brazil Machine Learning Market, 2019-2027 (In $ Million)
Figure 40: Mexico Machine Learning Market, 2019-2027 (In $ Million)
Figure 41: Rest Of Latin America Machine Learning Market, 2019-2027 (In $ Million)
Figure 42: United Arab Emirates Machine Learning Market, 2019-2027 (In $ Million)
Figure 43: Turkey Machine Learning Market, 2019-2027 (In $ Million)
Figure 44: Saudi Arabia Machine Learning Market, 2019-2027 (In $ Million)
Figure 45: South Africa Machine Learning Market, 2019-2027 (In $ Million)
Figure 46: Rest Of Middle East & Africa Machine Learning Market, 2019-2027 (In $ Million)
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- Tibco Software, Inc.
- Sap Se
- Oracle Corporation
- Teradata Corporation
- Amazon Web Services, Inc.
- Microsoft Corporation
- Intel Corporation
- Fractal Analytics
- Google, Inc.
- Baidu, Inc.
- Fair Isaac Corporation (Fico)
- Ibm Corporation (International Business Machines)
- Hewlett Packard Enterprise Company (Hpe)
- Dell Technologies, Inc.
- Clarivate Analytics Llc (Trademarkvision)
Note: Product cover images may vary from those shown
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