Chapter 1: Executive summary 1.1. Market scope and segmentation 1.2. Key questions answered in this study 1.3. Executive summary Chapter 2: Global deep learning market - market overview 2.1. Market definitions 2.2. Global market overview- market trends, market attractiveness analysis, geography wise market revenue (USD) 2.3. Global - market drivers and challenges 2.4. Value chain analysis – Global deep learning market 2.5. Porter’s Five Forces Analysis 2.6. Market size- By solution (hardware revenue, software revenue and services revenue) 2.6. a. Hardware- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 2.6. b. Software- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 2.6. c. Services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 2.7. Market size- By application (Image recognition, signal recognition, data mining, and others) 2.7. a. Image recognition - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 2.7. b. Signal recognition - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 2.7. c. Data mining - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 2.7. d. Others - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 2.8. Market size- By end user (Healthcare, BFSI, aerospace and defense, automotive, retail, media and entertainment, others ) 2.8. a. Healthcare - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 2.8. b. BFSI - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 2.8. c. Automotive - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 2.8. d. Retail - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 2.8. e. Media and entertainment - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 2.8. f. Others (manufacturing, oil, gas and energy) - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations Chapter 3: North America deep learning market- market overview 3.1. Market overview- market trends, market attractiveness analysis, geography wise market revenue (USD) 3.2. North America - market drivers and challenges 3.3. Market size- By solution (hardware revenue, software revenue and services revenue) 3.3. a. Hardware- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 3.3. b. Software- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 3.3. c. Services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 3.4. Market size- By application (Image recognition, signal recognition, data mining, and others) 3.4. a. Image recognition - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 3.4. b. Signal recognition - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 3.4. c. Data mining - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 3.4. d. Others - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 3.5. Market size- By end user (Healthcare, BFSI, aerospace and defense, automotive, retail, media and entertainment, others) 3.5. a. Healthcare - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 3.5. b. BFSI - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 3.5. c. Automotive - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 3.5. d. Retail - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 3.5. e. Media and entertainment - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 3.5. f. Others (manufacturing, oil, gas and energy) - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations Chapter 4: Europe deep learning market- market overview 4.1. Market overview- market trends, market attractiveness analysis, geography wise market revenue (USD) 4.2. Europe - market drivers and challenges 4.3. Market size- By solution (hardware revenue, software revenue and services revenue) 4.3. a. Hardware- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 4.3. b. Software- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 4.3. c. Services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 4.4. Market size- By application (Image recognition, signal recognition, data mining, and others) 4.4. a. Image recognition - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 4.4. b. Signal recognition - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 4.4. c. Data mining - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 4.4. d. Others - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 4.5. Market size- By end user (Healthcare, BFSI, aerospace and defense, automotive, retail, media and entertainment, others) 4.5. a. Healthcare - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 4.5. b. BFSI - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 4.5. c. Automotive - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 4.5. d. Retail - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 4.5. e. Media and entertainment - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 4.5. f. Others (manufacturing, oil, gas and energy)- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations Chapter 5: Asia-Pacific deep learning market- market overview 5.1. Market overview- market trends, market attractiveness analysis, geography wise market revenue (USD) 5.2. Asia Pacific- market drivers and challenges 5.3. Market size- By solution (hardware revenue, software revenue and services revenue) 5.3. a. Hardware- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 5.3. b. Software- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 5.3. c. Services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 5.4. Market size- By application (Image recognition, signal recognition, data mining, and others) 5.4. a. Image recognition - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 5.4. b. Signal recognition - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 5.4. c. Data mining - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 5.4. d. Others - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 5.5. Market size- By end user (Healthcare, BFSI, aerospace and defense, automotive, retail, media and entertainment, others) 5.5. a. Healthcare - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 5.5. b. BFSI - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 5.5. c. Automotive - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 5.5. d. Retail - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 5.5. e. Media and entertainment - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 5.5. f. Others (manufacturing, oil, gas and energy)- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations Chapter 6: Latin America deep learning market- market overview 6.1. Market overview- market trends, market attractiveness analysis, geography wise market revenue (USD) 6.2. Latin America- market drivers and challenges 6.3. Market size- By solution (hardware revenue, software revenue and services revenue) 6.3. a. Hardware- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 6.3. b. Software- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 6.3. c. Services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 6.4. Market size- By application (Image recognition, signal recognition, data mining, and others) 6.4. a. Image recognition - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 6.4. b. Signal recognition - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 6.4. c. Data mining - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 6.4. d. Others - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 6.5. Market size- By end user (Healthcare, BFSI, aerospace and defense, automotive, retail, media and entertainment, others) 6.5. a. Healthcare - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 6.5. b. BFSI - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 6.5. c. Automotive - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 6.5. d. Retail - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 6.5. e. Media and entertainment - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 6.5. f. Others (manufacturing, oil, gas and energy)- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations Chapter 7: Middle East and Africa deep learning market- market overview 7.1. Market overview- market trends, market attractiveness analysis, geography wise market revenue (USD) 7.2. Middle East and Africa- market drivers and challenges 7.3. Market size- By solution (hardware revenue, software revenue and services revenue) 7.3. a. Hardware- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 7.3. b. Software- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 7.3. c. Services- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 7.4. Market size- By application (Image recognition, signal recognition, data mining, and others) 7.4. a. Image recognition - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 7.4. b. Signal recognition - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 7.4. c. Data mining - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 7.4. d. Others - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 7.5. Market size- By end user (Healthcare, BFSI, aerospace and defense, automotive, retail, media and entertainment, others) 7.5. a. Healthcare - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 7.5. b. BFSI - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 7.5. c. Automotive - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 7.5. d. Retail - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 7.5. e. Media and entertainment - Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations 7.5. f. Others (manufacturing, oil, gas and energy)- Historical (2015-2017) and forecasted (2018-2023) market size (USD Bn), key observations Chapter 8: Competitive landscape 8.1. Google Inc. 8.1. a. Company snapshot 8.1. b. Product offerings 8.1. c. Growth strategies 8.1. d. Initiatives 8.1. e. Geographical presence 8.1. f. Key numbers 8.2. Microsoft Corporation 8.3. Qualcomm Technologies 8.4. IBM Corporation 8.5. Intel Corporation 8.6. General Vision Inc. 8.7. NVIDIA Corporation Chapter 9: Conclusion Chapter 10: Appendix 10.1. List of tables 10.2. Research methodology 10.3. Assumptions 10.4. About Netscribes Inc.

o Google Inc. o Microsoft Corporation o Qualcomm Technologies o IBM Corporation o Intel Corporation o General Vision Inc. o NVIDIA Corporation