Chapter 1: Executive summary 1.1. Market scope and segmentation 1.2. Key questions answered in this study 1.3. Executive summary Chapter 2: Machine learning market - market overview 2.1. North America market overview- market trends, market attractiveness analysis, geography-wise market revenue (USD) 2.2. North America - market drivers and challenges 2.3. Value chain analysis – machine learning market 2.4. Porter’s five forces analysis 2.5. Market size- by components (software tools, cloud and web-based APIs and others) 2.5. a. Revenue from software tools- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 2.5. b. Revenue from cloud and web-based APIs- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 2.5. c. Revenue from others- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 2.6. Market size- by service (professional services and managed services) 2.6. a. Revenue from professional services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 2.6. b. Revenue from managed services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 2.7. Market size- by organization size (SMEs and large enterprises) 2.7. a. Revenue from SMEs- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 2.7. b. Revenue from large enterprises- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 2.8. Market size- by application (BFSI, automotive, healthcare, government and others) 2.8. a. Revenue from BFSI- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 2.8. b. Revenue from automotive- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 2.8. c. Revenue from healthcare- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 2.8. d. Revenue from government- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 2.8. e. Revenue from others- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations Chapter 3: U.S. machine learning market- market overview 3.1. Market overview-market trends, market attractiveness analysis, geography wise market revenue (USD) 3.2. US - market drivers and challenges 3.3. Market size- by components (software tools, cloud and web-based APIs and others) 3.3. a. Revenue from software tools- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 3.3. b. Revenue from cloud and web-based APIs- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 3.3. c. Revenue from others- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 3.4. Market size- by service (professional services and managed services) 3.4. a. Revenue from professional services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 3.4. b. Revenue from managed services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 3.5. Market size- by organization size (SMEs and large enterprises) 3.5. a. Revenue from SMEs- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 3.5. b. Revenue from large enterprises- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 3.6. Market size- by application (BFSI, automotive, healthcare, government and others) 3.6. a. Revenue from BFSI- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 3.6. b. Revenue from automotive- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 3.6. c. Revenue from healthcare- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 3.6. d. Revenue from government- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 3.6. e. Revenue from others- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations Chapter 4: Canada machine learning market - market overview 4.1. Market overview- market trends, market attractiveness analysis, geography-wise market revenue (USD) 4.2. Canada - market drivers and challenges 4.3. Market size- By components (software tools, cloud and web-based APIs and others) 4.3. a. Revenue from software tools- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 4.3. b. Revenue from cloud and web-based APIs- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 4.3. c. Revenue from others- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 4.4. Market size- by service (professional services and managed services) 4.4. a. Revenue from professional services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 4.4. b. Revenue from managed services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 4.5. Market size- by organization size (SMEs and large enterprises) 4.5. a. Revenue from SMEs- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 4.5. b. Revenue from large enterprises- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 4.6. Market size- By application (BFSI, automotive, healthcare, government and others) 4.6. a. Revenue from BFSI- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 4.6. b. Revenue from automotive- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 4.6. c. Revenue from healthcare- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 4.6. d. Revenue from government- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 4.6. e. Revenue from others- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations Chapter 5: Competitive landscape 5.1. Microsoft 5.1.a. Company snapshot 5.1.b. Product offerings 5.1.c. Growth strategies 5.1.d. Initiatives 5.1.e. Geographical presence 5.1.f. Key numbers 5.2. Google Inc. 5.2.a. Company snapshot 5.2.b. Product offerings 5.2.c. Growth strategies 5.2.d. Initiatives 5.2.e. Geographical presence 5.2.f. Key numbers 5.3. IBM Watson 5.3.a. Company snapshot 5.3.b. Product offerings 5.3.c. Growth strategies 5.3.d. Initiatives 5.3.e. Geographical presence 5.3.f. Key numbers 5.4. Amazon 5.4.a. Company snapshot 5.4.b. Product offerings 5.4.c. Growth strategies 5.4.d. Initiatives 5.4.e. Geographical presence 5.4.f. Key numbers 5.5. Baidu 5.5.a. Company snapshot 5.5.b. Product offerings 5.5.c. Growth strategies 5.5.d. Initiatives 5.5.e. Geographical presence 5.5.f. Key numbers 5.6. Intel 5.6.a. Company snapshot 5.6.b. Product offerings 5.6.c. Growth strategies 5.6.d. Initiatives 5.6.e. Geographical presence 5.6.f. Key numbers 5.7. Facebook 5.7.a. Company snapshot 5.7.b. Product offerings 5.7.c. Growth strategies 5.7.d. Initiatives 5.7.e. Geographical presence 5.7.f. Key numbers 5.8. Apple Inc. 5.8.a. Company snapshot 5.8.b. Product offerings 5.8.c. Growth strategies 5.8.d. Initiatives 5.8.e. Geographical presence 5.8.f. Key numbers 5.9. Uber 5.9.a. Company snapshot 5.9.b. Product offerings 5.9.c. Growth strategies 5.9.d. Initiatives 5.9.e. Geographical presence 5.9.f. Key numbers 5.10. Luminoso 5.10.a. Company snapshot 5.10.b. Product offerings 5.10.c. Growth strategies 5.10.d. Initiatives 5.10.e. Geographical presence 5.10.f. Key numbers Chapter 6: Conclusion Chapter 7: Appendix 7.1. List of tables 7.2. Research methodology 7.3. Assumptions 7.4. About Netscribes Inc.

1. Microsoft 2. Google Inc. 3. IBM Watson 4. Amazon 5. Baidu 6. Intel 7. Facebook 8. Apple Inc. 9. Uber 10. Luminoso