Global Machine Learning Market – Industry Analysis and Forecast (2019-2026) – by Component, Service, Deployment Model, Organization Size, Vertical, and Region.

Machine Learning Market was valued at US$ 2.5 Bn in 2019 and is expected to reach US$ 12.3 Bn by 2026, at a CAGR of 22.4% during the forecast period.

The report includes an analysis of the impact of COVID-19 lockdown on the revenue of market leaders, followers, and disruptors. Since the lockdown was implemented differently in various regions and countries; the impact of the same is also seen differently by regions and segments. The report has covered the current short-term and long-term impact on the market, and it would help the decision-makers to prepare the outline and strategies for companies by region. To know about the Research Methodology:-Request Free Sample Report

Global Machine Learning Market Overview

The machine learning Market includes a complete range of services, solutions, and techniques interconnected closely to artificial intelligence, which is performing statistical analysis of input data to recognize its current and future relationship and performance. Machine learning employs a huge amount of input data to deliver better analytical output while enhancing workflow for different industry verticals. Machine learning is incorporating a variety of services that offer machine learning tools to cloud computing services. The global machine learning market is influenced by numerous factors which include demand for improved application areas, development associated with artificial intelligence & cognitive computing market, lack of trained professionals, and effect of developing economies. All these factors are collectively creating opportunities for market growth, each factor is expected to have its certain impact on the machine learning market share. Increasing automation and advanced technology are expected to boost the market growth during the forecast period. Machine learning technology has driven the rise of predictive analytics which experienced rapid growth in consumption, also, becoming an important part of all business operations and processes. Predictive analytics is used in different online activities like Amazon product references and Google search box auto-suggestion. Recently, Walmart Labs declared the acquisition of Inkiru, a specialized company in machine learning technology. This acquisition assisted Walmart who offers better site personalization and fake prevention, adoption of machine learning was mostly among developed nations, but in recent years, most of the developing economies like India and China, have started implementing machine learning systems. Sales of Machine learnings is mainly influenced by various economic and environmental factors and the global economy is playing a key role in the development of the machine learning market. In the current competitive environment, machine learning technology is becoming an important part of many applications of the BFSI ecosystem, from approving loans to managing assets, to assessing risks. Machine Learning Market is gaining a huge grip in the last two years in terms of both R&D and implementation. Technology has been involved by many business leaders for different use cases of business that needs real-time analytics with self-learning technology and without being explicitly programmed. Machine learning has huge potential in industries like Retail, BFSI, manufacturing, and retail. Machine Learning is a part of Artificial Intelligence that allows computers' capability to learn without being detailed programmed. It is significantly focused on the advancement of computer programs that can be switch when exposed to new data. It is helping the computers to find the hidden visions without being explicitly programmed where to look. Furthermore, it has multiple uses in the current technology market about safety and security like face detection, face recognition, image classification, Speech recognition, antivirus, Google, antispam, genetic, signal diagnosing, weather forecast, and many more.

Global Machine Learning Market, Key Highlights:

• Global Machine Learning Market analysis and forecast, in terms of value. • Comprehensive study and analysis of market drivers, restraints and opportunities influencing the growth of the Global Machine Learning Market • Global Machine Learning Market segmentation on the basis of type, source, end-user, and region (country-wise) has been provided. • Global Machine Learning Market strategic analysis with respect to individual growth trends, future prospects along with the contribution of various sub-market stakeholders have been considered under the scope of study. • Global Machine Learning Market analysis and forecast for five major regions namely North America, Europe, Asia Pacific, the Middle East & Africa (MEA) and Latin America along with country-wise segmentation. • Profiles of key industry players, their strategic perspective, market positioning and analysis of core competencies are further profiled. • Competitive developments, investments, strategic expansion and competitive landscape of the key players operating in the Global Machine Learning Market are also profiled.

Scope of the Global Machine Learning Market: Inquire before buying

Global Machine Learning Market by Component:

• Software • Services

Global Machine Learning Market by Service:

• Professional Services • Managed Services

Global Machine Learning Market by Deployment Model:

• Cloud • On-premises

Global Machine Learning Market by Organization Size:

• SMEs • Large Enterprises

Global Machine Learning Market by Vertical:

• BFSI • Healthcare and Life Sciences • Retail • Telecommunication • Government and Defense • Manufacturing • Energy and Utilities • Others

Global Machine Learning Market by Region:

• North America • Asia-Pacific • Europe • Latin America • Middle East & Africa

Global Machine Learning Market Key Players

• Amazon • Apple • Ayasdi • Digital Reasoning • Darktrace • Dataiku • Facebook • Feedzai • Google • IBM Watson • Luminoso • N-iX • QBurst • Qualcomm • Skytree • Uber

Global Machine Learning Market

1. Preface 1.1. Report Scope and Market Segmentation 1.2. Research Highlights 1.3. Research Objectives 2. Assumptions and Research Methodology 2.1. Report Assumptions 2.2. Abbreviations 2.3. Research Methodology 2.3.1. Secondary Research 2.3.1.1. Secondary data 2.3.1.2. Secondary Sources 2.3.2. Primary Research 2.3.2.1. Data from Primary Sources 2.3.2.2. Breakdown of Primary Sources 3. Executive Summary: Global Machine Learning Market Size, by Market Value (US$ Bn) and Market Volume (Units) 4. Market Overview 4.1. Introduction 4.2. Market Indicator 4.2.1. Drivers 4.2.2. Restraints 4.2.3. Opportunities 4.2.4. Challenges 4.3. Porter’s Analysis 4.4. Value Chain Analysis 4.5. Market Risk Analysis 4.6. SWOT Analysis 4.7. Industry Trends and Emerging Technologies 5. Supply Side and Demand Side Indicators 6. Global Machine Learning Market Analysis and Forecast 6.1. Global Machine Learning Market Size & Y-o-Y Growth Analysis 6.1.1. North America 6.1.2. Europe 6.1.3. Asia Pacific 6.1.4. Middle East & Africa 6.1.5. South America 7. Global Machine Learning Market Analysis and Forecast, by Component 7.1. Introduction and Definition 7.2. Key Findings 7.3. Global Machine Learning Market Value Share Analysis, by Component 7.4. Global Machine Learning Market Size (US$ Bn) Forecast, by Component 7.5. Global Machine Learning Market Analysis, by Component 7.6. Global Machine Learning Market Attractiveness Analysis, by Component 8. Global Machine Learning Market Analysis and Forecast, by Service 8.1. Introduction and Definition 8.2. Key Findings 8.3. Global Machine Learning Market Value Share Analysis, by Service 8.4. Global Machine Learning Market Size (US$ Bn) Forecast, by Service 8.5. Global Machine Learning Market Analysis, by Service 8.6. Global Machine Learning Market Attractiveness Analysis, by Service 9. Global Machine Learning Market Analysis and Forecast, by Deployment Model 9.1. Introduction and Definition 9.2. Key Findings 9.3. Global Machine Learning Market Value Share Analysis, by Deployment Model 9.4. Global Machine Learning Market Size (US$ Bn) Forecast, by Deployment Model 9.5. Global Machine Learning Market Analysis, by Deployment Model 9.6. Global Machine Learning Market Attractiveness Analysis, by Deployment Model 10. Global Machine Learning Market Analysis and Forecast, by Organization Size 10.1. Introduction and Definition 10.2. Key Findings 10.3. Global Machine Learning Market Value Share Analysis, by Organization Size 10.4. Global Machine Learning Market Size (US$ Bn) Forecast, by Organization Size 10.5. Global Machine Learning Market Analysis, by Organization Size 10.6. Global Machine Learning Market Attractiveness Analysis, by Organization Size 11. Global Machine Learning Market Analysis and Forecast, by Vertical 11.1. Introduction and Definition 11.2. Key Findings 11.3. Global Machine Learning Market Value Share Analysis, by Vertical 11.4. Global Machine Learning Market Size (US$ Bn) Forecast, by Vertical 11.5. Global Machine Learning Market Analysis, by Vertical 11.6. Global Machine Learning Market Attractiveness Analysis, by Vertical 12. Global Machine Learning Market Analysis, by Region 12.1. Global Machine Learning Market Value Share Analysis, by Region 12.2. Global Machine Learning Market Size (US$ Bn) Forecast, by Region 12.3. Global Machine Learning Market Attractiveness Analysis, by Region 13. North America Machine Learning Market Analysis 13.1. Key Findings 13.2. North America Machine Learning Market Overview 13.3. North America Machine Learning Market Value Share Analysis, by Component 13.4. North America Machine Learning Market Forecast, by Component 13.4.1. Software 13.4.2. Services 13.5. North America Machine Learning Market Value Share Analysis, by Service 13.6. North America Machine Learning Market Forecast, by Service 13.6.1. Professional Services 13.6.2. Managed Services 13.7. North America Machine Learning Market Value Share Analysis, by Deployment Model 13.8. North America Machine Learning Market Forecast, by Deployment Model 13.8.1. Cloud 13.8.2. On-premises 13.9. North America Machine Learning Market Value Share Analysis, by Organization Size 13.10. North America Machine Learning Market Forecast, by Organization Size 13.10.1. Small and Medium Enterprises 13.10.2. Large Enterprises 13.11. North America Machine Learning Market Value Share Analysis, by Vertical 13.12. North America Machine Learning Market Forecast, by Vertical 13.12.1. BFSI 13.12.2. Healthcare and Life Sciences 13.12.3. Retail 13.12.4. Telecommunication 13.12.5. Government and Defense 13.12.6. Manufacturing 13.12.7. Energy and Utilities 13.12.8. Others 13.13. North America Machine Learning Market Value Share Analysis, by Country 13.14. North America Machine Learning Market Forecast, by Country 13.14.1. U.S. 13.14.2. Canada 13.15. North America Machine Learning Market Analysis, by Country 13.16. U.S. Machine Learning Market Forecast, by Component 13.16.1. Software 13.16.2. Services 13.17. U.S. Machine Learning Market Forecast, by Service 13.17.1. Professional Services 13.17.2. Managed Services 13.18. U.S. Machine Learning Market Forecast, by Deployment Model 13.18.1. Cloud 13.18.2. On-premises 13.19. U.S. Machine Learning Market Forecast, by Organization Size 13.19.1. Small and Medium Enterprises 13.19.2. Large Enterprises 13.20. U.S. Machine Learning Market Forecast, by Vertical 13.20.1. BFSI 13.20.2. Healthcare and Life Sciences 13.20.3. Retail 13.20.4. Telecommunication 13.20.5. Government and Defense 13.20.6. Manufacturing 13.20.7. Energy and Utilities 13.20.8. Others 13.21. Canada Machine Learning Market Forecast, by Component 13.21.1. Software 13.21.2. Services 13.22. Canada Machine Learning Market Forecast, by Service 13.22.1. Professional Services 13.22.2. Managed Services 13.23. Canada Machine Learning Market Forecast, by Deployment Model 13.23.1. Cloud 13.23.2. On-premises 13.24. Canada Machine Learning Market Forecast, by Organization Size 13.24.1. Small and Medium Enterprises 13.24.2. Large Enterprises 13.25. Canada Machine Learning Market Forecast, by Vertical 13.25.1. BFSI 13.25.2. Healthcare and Life Sciences 13.25.3. Retail 13.25.4. Telecommunication 13.25.5. Government and Defense 13.25.6. Manufacturing 13.25.7. Energy and Utilities 13.25.8. Others 13.26. North America Machine Learning Market Attractiveness Analysis 13.26.1. By Component 13.26.2. By Service 13.26.3. By Deployment Model 13.26.4. By Organization Size 13.26.5. By Vertical 13.27. PEST Analysis 13.28. Key Trends 13.29. Key Developments 14. Europe Machine Learning Market Analysis 14.1. Key Findings 14.2. Europe Machine Learning Market Overview 14.3. Europe Machine Learning Market Value Share Analysis, by Component 14.4. Europe Machine Learning Market Forecast, by Component 14.4.1. Software 14.4.2. Services 14.5. Europe Machine Learning Market Value Share Analysis, by Service 14.6. Europe Machine Learning Market Forecast, by Service 14.6.1. Professional Services 14.6.2. Managed Services 14.7. Europe Machine Learning Market Value Share Analysis, by Deployment Model 14.8. Europe Machine Learning Market Forecast, by Deployment Model 14.8.1. Cloud 14.8.2. On-premises 14.9. Europe Machine Learning Market Value Share Analysis, by Organization Size 14.10. Europe Machine Learning Market Forecast, by Organization Size 14.10.1. Small and Medium Enterprises 14.10.2. Large Enterprises 14.11. Europe Machine Learning Market Value Share Analysis, by Vertical 14.12. Europe Machine Learning Market Forecast, by Vertical 14.12.1. BFSI 14.12.2. Healthcare and Life Sciences 14.12.3. Retail 14.12.4. Telecommunication 14.12.5. Government and Defense 14.12.6. Manufacturing 14.12.7. Energy and Utilities 14.12.8. Others 14.13. Europe Machine Learning Market Value Share Analysis, by Country 14.14. Europe Machine Learning Market Forecast, by Country 14.14.1. Germany 14.14.2. U.K. 14.14.3. France 14.14.4. Italy 14.14.5. Spain 14.14.6. Rest of Europe 14.15. Europe Machine Learning Market Analysis, by Country 14.16. Germany Machine Learning Market Forecast, by Component 14.16.1. Software 14.16.2. Services 14.17. Germany Machine Learning Market Forecast, by Service 14.17.1. Professional Services 14.17.2. Managed Services 14.18. Germany Machine Learning Market Forecast, by Deployment Model 14.18.1. Cloud 14.18.2. On-premises 14.19. Germany Machine Learning Market Forecast, by Organization Size 14.19.1. Small and Medium Enterprises 14.19.2. Large Enterprises 14.20. Germany Machine Learning Market Forecast, by Vertical 14.20.1. BFSI 14.20.2. Healthcare and Life Sciences 14.20.3. Retail 14.20.4. Telecommunication 14.20.5. Government and Defense 14.20.6. Manufacturing 14.20.7. Energy and Utilities 14.20.8. Others 14.21. U.K. Machine Learning Market Forecast, by Component 14.21.1. Software 14.21.2. Services 14.22. U.K. Machine Learning Market Forecast, by Service 14.22.1. Professional Services 14.22.2. Managed Services 14.23. U.K. Machine Learning Market Forecast, by Deployment Model 14.23.1. Cloud 14.23.2. On-premises 14.24. U.K. Machine Learning Market Forecast, by Organization Size 14.24.1. Small and Medium Enterprises 14.24.2. Large Enterprises 14.25. U.K. Machine Learning Market Forecast, by Vertical 14.25.1. BFSI 14.25.2. Healthcare and Life Sciences 14.25.3. Retail 14.25.4. Telecommunication 14.25.5. Government and Defense 14.25.6. Manufacturing 14.25.7. Energy and Utilities 14.25.8. Others 14.26. France Machine Learning Market Forecast, by Component 14.26.1. Software 14.26.2. Services 14.27. France Machine Learning Market Forecast, by Service 14.27.1. Professional Services 14.27.2. Managed Services 14.28. France Machine Learning Market Forecast, by Deployment Model 14.28.1. Cloud 14.28.2. On-premises 14.29. France Machine Learning Market Forecast, by Organization Size 14.29.1. Small and Medium Enterprises 14.29.2. Large Enterprises 14.30. France Machine Learning Market Forecast, by Vertical 14.30.1. BFSI 14.30.2. Healthcare and Life Sciences 14.30.3. Retail 14.30.4. Telecommunication 14.30.5. Government and Defense 14.30.6. Manufacturing 14.30.7. Energy and Utilities 14.30.8. Others 14.31. Italy Machine Learning Market Forecast, by Component 14.31.1. Software 14.31.2. Services 14.32. Italy Machine Learning Market Forecast, by Service 14.32.1. Professional Services 14.32.2. Managed Services 14.33. Italy Machine Learning Market Forecast, by Deployment Model 14.33.1. Cloud 14.33.2. On-premises 14.34. Italy Machine Learning Market Forecast, by Organization Size 14.34.1. Small and Medium Enterprises 14.34.2. Large Enterprises 14.35. Italy Machine Learning Market Forecast, by Vertical 14.35.1. BFSI 14.35.2. Healthcare and Life Sciences 14.35.3. Retail 14.35.4. Telecommunication 14.35.5. Government and Defense 14.35.6. Manufacturing 14.35.7. Energy and Utilities 14.35.8. Others 14.36. Spain Machine Learning Market Forecast, by Component 14.36.1. Software 14.36.2. Services 14.37. Spain Machine Learning Market Forecast, by Service 14.37.1. Professional Services 14.37.2. Managed Services 14.38. Spain Machine Learning Market Forecast, by Deployment Model 14.38.1. Cloud 14.38.2. On-premises 14.39. Spain Machine Learning Market Forecast, by Organization Size 14.39.1. Small and Medium Enterprises 14.39.2. Large Enterprises 14.40. Spain Machine Learning Market Forecast, by Vertical 14.40.1. BFSI 14.40.2. Healthcare and Life Sciences 14.40.3. Retail 14.40.4. Telecommunication 14.40.5. Government and Defense 14.40.6. Manufacturing 14.40.7. Energy and Utilities 14.40.8. Others 14.41. Rest of Europe Machine Learning Market Forecast, by Component 14.41.1. Software 14.41.2. Services 14.42. Rest of Europe Machine Learning Market Forecast, by Service 14.42.1. Professional Services 14.42.2. Managed Services 14.43. Rest of Europe Machine Learning Market Forecast, by Deployment Model 14.43.1. Cloud 14.43.2. On-premises 14.44. Rest Of Europe Machine Learning Market Forecast, by Organization Size 14.44.1. Small and Medium Enterprises 14.44.2. Large Enterprises 14.45. Rest Of Europe Machine Learning Market Forecast, by Vertical 14.45.1. BFSI 14.45.2. Healthcare and Life Sciences 14.45.3. Retail 14.45.4. Telecommunication 14.45.5. Government and Defense 14.45.6. Manufacturing 14.45.7. Energy and Utilities 14.45.8. Others 14.46. Europe Machine Learning Market Attractiveness Analysis 14.46.1. By Component 14.46.2. By Service 14.46.3. By Deployment Model 14.46.4. By Organization Size 14.46.5. By Vertical 14.47. PEST Analysis 14.48. Key Trends 14.49. Key Developments 15. Asia Pacific Machine Learning Market Analysis 15.1. Key Findings 15.2. Asia Pacific Machine Learning Market Overview 15.3. Asia Pacific Machine Learning Market Value Share Analysis, by Component 15.4. Asia Pacific Machine Learning Market Forecast, by Component 15.4.1. Software 15.4.2. Services 15.5. Asia Pacific Machine Learning Market Value Share Analysis, by Service 15.6. Asia Pacific Machine Learning Market Forecast, by Service 15.6.1. Professional Services 15.6.2. Managed Services 15.7. Asia Pacific Machine Learning Market Value Share Analysis, by Deployment Model 15.8. Asia Pacific Machine Learning Market Forecast, by Deployment Model 15.8.1. Cloud 15.8.2. On-premises 15.9. Asia Pacific Machine Learning Market Value Share Analysis, by Organization Size 15.10. Asia Pacific Machine Learning Market Forecast, by Organization Size 15.10.1. Small and Medium Enterprises 15.10.2. Large Enterprises 15.11. Asia Pacific Machine Learning Market Value Share Analysis, by Vertical 15.12. Asia Pacific Machine Learning Market Forecast, by Vertical 15.12.1. BFSI 15.12.2. Healthcare and Life Sciences 15.12.3. Retail 15.12.4. Telecommunication 15.12.5. Government and Defense 15.12.6. Manufacturing 15.12.7. Energy and Utilities 15.12.8. Others 15.13. Asia Pacific Machine Learning Market Value Share Analysis, by Country 15.14. Asia Pacific Machine Learning Market Forecast, by Country 15.14.1. China 15.14.2. India 15.14.3. Japan 15.14.4. ASEAN 15.14.5. Rest of Asia Pacific 15.15. Asia Pacific Machine Learning Market Analysis, by Country 15.16. China Machine Learning Market Forecast, by Component 15.16.1. Software 15.16.2. Services 15.17. China Machine Learning Market Forecast, by Service 15.17.1. Professional Services 15.17.2. Managed Services 15.18. China Machine Learning Market Forecast, by Deployment Model 15.18.1. Cloud 15.18.2. On-premises 15.19. China Machine Learning Market Forecast, by Organization Size 15.19.1. Small and Medium Enterprises 15.19.2. Large Enterprises 15.20. China Machine Learning Market Forecast, by Vertical 15.20.1. BFSI 15.20.2. Healthcare and Life Sciences 15.20.3. Retail 15.20.4. Telecommunication 15.20.5. Government and Defense 15.20.6. Manufacturing 15.20.7. Energy and Utilities 15.20.8. Others 15.21. India Machine Learning Market Forecast, by Component 15.21.1. Software 15.21.2. Services 15.22. India Machine Learning Market Forecast, by Service 15.22.1. Professional Services 15.22.2. Managed Services 15.23. India Machine Learning Market Forecast, by Deployment Model 15.23.1. Cloud 15.23.2. On-premises 15.24. India Machine Learning Market Forecast, by Organization Size 15.24.1. Small and Medium Enterprises 15.24.2. Large Enterprises 15.25. India Machine Learning Market Forecast, by Vertical 15.25.1. BFSI 15.25.2. Healthcare and Life Sciences 15.25.3. Retail 15.25.4. Telecommunication 15.25.5. Government and Defense 15.25.6. Manufacturing 15.25.7. Energy and Utilities 15.25.8. Others 15.26. Japan Machine Learning Market Forecast, by Component 15.26.1. Software 15.26.2. Services 15.27. Japan Machine Learning Market Forecast, by Service 15.27.1. Professional Services 15.27.2. Managed Services 15.28. Japan Machine Learning Market Forecast, by Deployment Model 15.28.1. Cloud 15.28.2. On-premises 15.29. Japan Machine Learning Market Forecast, by Organization Size 15.29.1. Small and Medium Enterprises 15.29.2. Large Enterprises 15.30. Japan Machine Learning Market Forecast, by Vertical 15.30.1. BFSI 15.30.2. Healthcare and Life Sciences 15.30.3. Retail 15.30.4. Telecommunication 15.30.5. Government and Defense 15.30.6. Manufacturing 15.30.7. Energy and Utilities 15.30.8. Others 15.31. ASEAN Machine Learning Market Forecast, by Component 15.31.1. Software 15.31.2. Services 15.32. ASEAN Machine Learning Market Forecast, by Service 15.32.1. Professional Services 15.32.2. Managed Services 15.33. ASEAN Machine Learning Market Forecast, by Deployment Model 15.33.1. Cloud 15.33.2. On-premises 15.34. ASEAN Machine Learning Market Forecast, by Organization Size 15.34.1. Small and Medium Enterprises 15.34.2. Large Enterprises 15.35. ASEAN Machine Learning Market Forecast, by Vertical 15.35.1. BFSI 15.35.2. Healthcare and Life Sciences 15.35.3. Retail 15.35.4. Telecommunication 15.35.5. Government and Defense 15.35.6. Manufacturing 15.35.7. Energy and Utilities 15.35.8. Others 15.36. Rest of Asia Pacific Machine Learning Market Forecast, by Component 15.36.1. Software 15.36.2. Services 15.37. Rest of Asia Pacific Machine Learning Market Forecast, by Service 15.37.1. Professional Services 15.37.2. Managed Services 15.38. Rest of Asia Pacific Machine Learning Market Forecast, by Deployment Model 15.38.1. Cloud 15.38.2. On-premises 15.39. Rest of Asia Pacific Machine Learning Market Forecast, by Organization Size 15.39.1. Small and Medium Enterprises 15.39.2. Large Enterprises 15.40. Rest of Asia Pacific Machine Learning Market Forecast, by Vertical 15.40.1. BFSI 15.40.2. Healthcare and Life Sciences 15.40.3. Retail 15.40.4. Telecommunication 15.40.5. Government and Defense 15.40.6. Manufacturing 15.40.7. Energy and Utilities 15.40.8. Others 15.41. Asia Pacific Machine Learning Market Attractiveness Analysis 15.41.1. By Component 15.41.2. By Service 15.41.3. By Deployment Model 15.41.4. By Organization Size 15.41.5. By Vertical 15.42. PEST Analysis 15.43. Key Trends 15.44. Key Developments 16. Middle East & Africa Machine Learning Market Analysis 16.1. Key Findings 16.2. Middle East & Africa Machine Learning Market Overview 16.3. Middle East & Africa Machine Learning Market Value Share Analysis, by Component 16.4. Middle East & Africa Machine Learning Market Forecast, by Component 16.4.1. Software 16.4.2. Services 16.5. Middle East & Africa Machine Learning Market Value Share Analysis, by Service 16.6. Middle East & Africa Machine Learning Market Forecast, by Service 16.6.1. Professional Services 16.6.2. Managed Services 16.7. Middle East & Africa Machine Learning Market Value Share Analysis, by Deployment Model 16.8. Middle East & Africa Machine Learning Market Forecast, by Deployment Model 16.8.1. Cloud 16.8.2. On-premises 16.9. Middle East & Africa Machine Learning Market Value Share Analysis, by Organization Size 16.10. Middle East & Africa Machine Learning Market Forecast, by Organization Size 16.10.1. Small and Medium Enterprises 16.10.2. Large Enterprises 16.11. Middle East & Africa Machine Learning Market Value Share Analysis, by Vertical 16.12. Middle East & Africa Machine Learning Market Forecast, by Vertical 16.12.1. BFSI 16.12.2. Healthcare and Life Sciences 16.12.3. Retail 16.12.4. Telecommunication 16.12.5. Government and Defense 16.12.6. Manufacturing 16.12.7. Energy and Utilities 16.12.8. Others 16.13. Middle East & Africa Machine Learning Market Value Share Analysis, by Country 16.14. Middle East & Africa Machine Learning Market Forecast, by Country 16.14.1. GCC 16.14.2. South Africa 16.14.3. Rest of Middle East & Africa 16.15. Middle East & Africa Machine Learning Market Analysis, by Country 16.16. GCC Machine Learning Market Forecast, by Component 16.16.1. Software 16.16.2. Services 16.17. GCC Machine Learning Market Forecast, by Service 16.17.1. Professional Services 16.17.2. Managed Services 16.18. GCC Machine Learning Market Forecast, by Deployment Model 16.18.1. Cloud 16.18.2. On-premises 16.19. GCC Machine Learning Market Forecast, by Organization Size 16.19.1. Small and Medium Enterprises 16.19.2. Large Enterprises 16.20. GCC Machine Learning Market Forecast, by Vertical 16.20.1. BFSI 16.20.2. Healthcare and Life Sciences 16.20.3. Retail 16.20.4. Telecommunication 16.20.5. Government and Defense 16.20.6. Manufacturing 16.20.7. Energy and Utilities 16.20.8. Others 16.21. South Africa Machine Learning Market Forecast, by Component 16.21.1. Software 16.21.2. Services 16.22. South Africa Machine Learning Market Forecast, by Service 16.22.1. Professional Services 16.22.2. Managed Services 16.23. South Africa Machine Learning Market Forecast, by Deployment Model 16.23.1. Cloud 16.23.2. On-premises 16.24. South Africa Machine Learning Market Forecast, by Organization Size 16.24.1. Small and Medium Enterprises 16.24.2. Large Enterprises 16.25. South Africa Machine Learning Market Forecast, by Vertical 16.25.1. BFSI 16.25.2. Healthcare and Life Sciences 16.25.3. Retail 16.25.4. Telecommunication 16.25.5. Government and Defense 16.25.6. Manufacturing 16.25.7. Energy and Utilities 16.25.8. Others 16.26. Rest of Middle East & Africa Machine Learning Market Forecast, by Component 16.26.1. Software 16.26.2. Services 16.27. Rest of Middle East & Africa Machine Learning Market Forecast, by Service 16.27.1. Professional Services 16.27.2. Managed Services 16.28. Rest of Middle East & Africa Machine Learning Market Forecast, by Deployment Model 16.28.1. Cloud 16.28.2. On-premises 16.29. Rest of Middle East & Africa Machine Learning Market Forecast, by Organization Size 16.29.1. Small and Medium Enterprises 16.29.2. Large Enterprises 16.30. Rest of Middle East & Africa Machine Learning Market Forecast, by Vertical 16.30.1. BFSI 16.30.2. Healthcare and Life Sciences 16.30.3. Retail 16.30.4. Telecommunication 16.30.5. Government and Defense 16.30.6. Manufacturing 16.30.7. Energy and Utilities 16.30.8. Others 16.31. Middle East & Africa Machine Learning Market Attractiveness Analysis 16.31.1. By Component 16.31.2. By Service 16.31.3. By Deployment Model 16.31.4. By Organization Size 16.31.5. By Vertical 16.32. PEST Analysis 16.33. Key Trends 16.34. Key Developments 17. South America Machine Learning Market Analysis 17.1. Key Findings 17.2. South America Machine Learning Market Overview 17.3. South America Machine Learning Market Value Share Analysis, by Component 17.4. South America Machine Learning Market Forecast, by Component 17.4.1. Software 17.4.2. Services 17.5. South America Machine Learning Market Value Share Analysis, by Service 17.6. South America Machine Learning Market Forecast, by Service 17.6.1. Professional Services 17.6.2. Managed Services 17.7. South America Machine Learning Market Value Share Analysis, by Deployment Model 17.8. South America Machine Learning Market Forecast, by Deployment Model 17.8.1. Cloud 17.8.2. On-premises 17.9. South America Machine Learning Market Value Share Analysis, by Organization Size 17.10. South America Machine Learning Market Forecast, by Organization Size 17.10.1. Small and Medium Enterprises 17.10.2. Large Enterprises 17.11. South America Machine Learning Market Value Share Analysis, by Vertical 17.12. South America Machine Learning Market Forecast, by Vertical 17.12.1. BFSI 17.12.2. Healthcare and Life Sciences 17.12.3. Retail 17.12.4. Telecommunication 17.12.5. Government and Defense 17.12.6. Manufacturing 17.12.7. Energy and Utilities 17.12.8. Others 17.13. South America Machine Learning Market Value Share Analysis, by Country 17.14. South America Machine Learning Market Forecast, by Country 17.14.1. Brazil 17.14.2. Mexico 17.14.3. Rest of South America 17.15. South America Machine Learning Market Analysis, by Country 17.16. Brazil Machine Learning Market Forecast, by Component 17.16.1. Software 17.16.2. Services 17.17. Brazil Machine Learning Market Forecast, by Service 17.17.1. Professional Services 17.17.2. Managed Services 17.18. Brazil Machine Learning Market Forecast, by Deployment Model 17.18.1. Cloud 17.18.2. On-premises 17.19. Brazil Machine Learning Market Forecast, by Organization Size 17.19.1. Small and Medium Enterprises 17.19.2. Large Enterprises 17.20. Brazil Machine Learning Market Forecast, by Vertical 17.20.1. BFSI 17.20.2. Healthcare and Life Sciences 17.20.3. Retail 17.20.4. Telecommunication 17.20.5. Government and Defense 17.20.6. Manufacturing 17.20.7. Energy and Utilities 17.20.8. Others 17.21. Mexico Machine Learning Market Forecast, by Component 17.21.1. Software 17.21.2. Services 17.22. Mexico Machine Learning Market Forecast, by Service 17.22.1. Professional Services 17.22.2. Managed Services 17.23. Mexico Machine Learning Market Forecast, by Deployment Model 17.23.1. Cloud 17.23.2. On-premises 17.24. Mexico Machine Learning Market Forecast, by Organization Size 17.24.1. Small and Medium Enterprises 17.24.2. Large Enterprises 17.25. Mexico Machine Learning Market Forecast, by Vertical 17.25.1. BFSI 17.25.2. Healthcare and Life Sciences 17.25.3. Retail 17.25.4. Telecommunication 17.25.5. Government and Defense 17.25.6. Manufacturing 17.25.7. Energy and Utilities 17.25.8. Others 17.26. Rest of South America Machine Learning Market Forecast, by Component 17.26.1. Software 17.26.2. Services 17.27. Rest of South America Machine Learning Market Forecast, by Service 17.27.1. Professional Services 17.27.2. Managed Services 17.28. Rest of South America Machine Learning Market Forecast, by Deployment Model 17.28.1. Cloud 17.28.2. On-premises 17.29. Rest of South America Machine Learning Market Forecast, by Organization Size 17.29.1. Small and Medium Enterprises 17.29.2. Large Enterprises 17.30. Rest of South America Machine Learning Market Forecast, by Vertical 17.30.1. BFSI 17.30.2. Healthcare and Life Sciences 17.30.3. Retail 17.30.4. Telecommunication 17.30.5. Government and Defense 17.30.6. Manufacturing 17.30.7. Energy and Utilities 17.30.8. Others 17.31. South America Machine Learning Market Attractiveness Analysis 17.31.1. By Component 17.31.2. By Service 17.31.3. By Deployment Model 17.31.4. By Organization Size 17.31.5. By Vertical 17.32. PEST Analysis 17.33. Key Trends 17.34. Key Developments 18. Company Profiles 18.1. Market Share Analysis, by Company 18.2. Competition Matrix 18.2.1. Competitive Benchmarking of key players by price, presence, market share, Applications and R&D investment 18.2.2. New Product Launches and Product Enhancements 18.2.3. Market Consolidation 18.2.3.1. M&A by Regions, Investment and Applications 18.2.3.2. M&A Key Players, Forward Integration and Backward Integration 18.3. Company Profiles: Key Players 18.3.1. Amazon Web Services, Inc. 18.3.1.1. Company Overview 18.3.1.2. Financial Overview 18.3.1.3. Product Portfolio 18.3.1.4. Business Strategy 18.3.1.5. Recent Developments 18.3.1.6. Manufacturing Footprint 18.3.2. Fair Isaac Corporation 18.3.3. Google, Inc. 18.3.4. Hewlett Packard Enterprise 18.3.5. IBM Corporation 18.3.6. Microsoft Corporation 18.3.7. SAP SE 18.3.8. BigML, Inc. 18.3.9. SAS Institute Inc. 18.3.10. Facebook 18.3.11. IBM Watson 18.3.12. Baidu 18.3.13. Apple 18.3.14. Microsoft 18.3.15. Cisco 18.3.16. Wipro 18.3.17. Nuance Communications 18.3.18. Intel 18.3.19. Digital Reasoning 18.3.20. Darktrace 18.3.21. Dataiku 18.3.22. Qualcomm 18.3.23. Skytree 18.3.24. N-iX 18.3.25. Feedzai 18.3.26. Ayasdi 19. Primary Key Insights

About This Report

Report ID 23945
Category Information Technology & Telecommunication
Published Date Jan 2019
Updated Date Sep 2020
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