Machine Learning as a Service Market by Component (Software and Services), by Organization Size (Large Enterprises and Small & Medium Enterprises), by End-Use Industry (Aerospace & Defense, IT & Telecom, Energy & Utilities, Public sector, Manufacturing, BFSI, Healthcare, Retail, and Others), and by Application ( ing & Advertising, Fraud Detection & Risk Management, Predictive analytics, Augmented & Virtual reality, Natural Language processing, Computer vision, Security & surveillance, and Others) - Global Opportunity Analysis and Industry Forecast, 2016-2023

CHAPTER 1 INTRODUCTION

1.1. REPORT DESCRIPTION

1.2. KEY BENEFITS

1.3. KEY MARKET SEGMENTS

1.4. KEY MARKET SEGMENTATION

1.5. RESEARCH METHODOLOGY

1.5.1. Secondary research

1.5.2. Primary research

1.5.3. Analyst tools and models

CHAPTER 2 EXECUTIVE SUMMARY

2.1. CXO PERSPECTIVE

CHAPTER 3 MARKET OVERVIEW

3.1. MARKET DEFINITION AND SCOPE

3.2. KEY FINDINGS

3.2.1. Top impacting factors

3.2.2. Top investment pockets

3.2.3. Top winning strategies

3.3. PORTERS FIVE FORCES ANALYSIS

3.3.1. Moderate-to-low bargaining power of suppliers

3.3.2. Moderate-to-low bargaining power of buyers

3.3.3. Moderate-to-high threat of substitutes

3.3.4. High threat of new entrants

3.3.5. Moderate-to-high competitive rivalry

3.4. KEY PLAYER POSITIONING, 2016 (%)

3.5. MARKET DYNAMICS

3.5.1. Drivers

3.5.1.1. Increased market for cloud computing

3.5.1.2. Growth associated with artificial intelligence and cognitive computing

3.5.2. Restraints

3.5.2.1. Dearth of trained professionals.

3.5.3. Opportunities

3.5.3.1. Increased adoption of analytical solutions

3.5.3.2. Increased application areas

CHAPTER 4 GLOBAL MACHINE LEARNING AS A SERVICE MARKET, BY COMPONENT

4.1. OVERVIEW

4.2. SOFTWARE

4.2.1. Key market trends

4.2.2. Key growth factors and opportunities

4.2.3. Market size and forecast

4.3. SERVICES

4.3.1. Key market trends

4.3.2. Key growth factors and opportunities

4.3.3. Market size and forecast

CHAPTER 5 GLOBAL MACHINE LEARNING AS A SERVICE MARKET, BY ORGANIZATION SIZE

5.1. OVERVIEW

5.2. LARGE ENTERPRISES

5.2.1. Key market trends

5.2.2. Key growth factors and opportunities

5.2.3. Market size and forecast

5.3. SMALL AND MEDIUM ENTERPRISES

5.3.1. Key market trends

5.3.2. Key growth factors and opportunities

5.3.3. Market size and forecast

CHAPTER 6 GLOBAL MACHINE LEARNING AS A SERVICE MARKET, BY END-USE INDUSTRY

6.1. OVERVIEW

6.2. AEROSPACE & DEFENCE

1.2.1. Key market trends

1.2.1 Key Growth Factors and Opportunities

1.2.2. Market size and forecast

6.3. IT & TELECOM

1.2.3. Key market trends

1.3.1 Key Growth Factors and Opportunities

1.2.4. Market size and forecast

6.4. ENERGY & UTILITIES

1.2.5. Key market trends

1.3.2 Key Growth factors and Opportunities

1.2.6. Market size and forecast

6.5. PUBLIC SECTOR

1.2.7. Key market trends

1.4.1 Key Growth Factors and Opportunities

1.2.8. Market size and forecast

6.6. MANUFACTURING

1.2.9. Key market trends

1.3.3 Key Growth factors and Opportunities

1.2.10. Market size and forecast

6.7. BANKING, FINANCIAL SERVICES, & INSURANCE (BFSI)

1.2.11. Key market trends

1.3.4 Key Growth Factors and Opportunities

1.2.12. Market size and forecast

6.8. HEALTHCARE

1.2.13. Key market trends

1.6.1 Key Growth Factors and Opportunities

1.2.14. Market size and forecast

6.9. RETAIL

1.2.15. Key market trends

1.5.1 Key Growth Factors and Opportunities

1.2.16. Market size and forecast

6.10. OTHERS

1.2.17. Key market trends

1.3.5 Key Growth factors and Opportunities

1.2.18. Market size and forecast

CHAPTER 7 GLOBAL COMMERCIAL AIRCRAFT HEATH MONITORING SYSTEM MARKET, BY APPLICATION

7.1. OVERVIEW

7.2. MARKETING AND ADVERTISING

7.2.1. Key market trends

7.2.2. Key growth factors and opportunities

7.2.3. Market size and forecast

7.3. FRAUD DETECTION AND RISK MANAGEMENT

7.3.1. Key market trends

7.3.2. Key growth factors and opportunities

7.3.3. Market size and forecast

7.4. PREDICTIVE ANALYTICS

7.4.1. Key market trends

7.4.2. Key growth factors and opportunities

7.4.3. Market size and forecast

7.5. AUGMENTED & VIRTUAL REALITY

7.5.1. Key market trends

7.5.2. Key growth factors and opportunities

7.5.3. Market size and forecast

7.6. NATURAL LANGUAGE PROCESSING

7.6.1. Key market trends

7.6.2. Key growth factors and opportunities

7.6.3. Market size and forecast

7.7. COMPUTER VISION

7.7.1. Key market trends

7.7.2. Key growth factors and opportunities

7.7.3. Market size and forecast

7.8. SECURITY AND SURVEILLANCE

7.8.1. Key market trends

7.8.2. Key growth factors and opportunities

7.8.3. Market size and forecast

7.9. OTHERS

7.9.1. Key market trends

7.9.2. Key growth factors and opportunities

7.9.3. Market size and forecast

CHAPTER 8 MACHINE LEARNING AS A SERVICE MARKET, BY REGION

8.1. OVERVIEW

8.2. NORTH AMERICA

8.2.1. Key market trends

8.2.2. Key growth factors and opportunities

8.2.3. Market size and forecast

8.2.3.1. Market size and forecast by country

8.2.3.2. U.S.

8.2.3.3. Market size and forecast

8.2.3.4. Canada

8.2.3.5. Market size and forecast

8.2.3.6. Mexico

8.2.3.7. Market size and forecast

8.3. EUROPE

8.3.1. Key market trends

8.3.2. Key growth factors and opportunities

8.3.3. Market size and forecast

8.3.3.1. Market size and forecast by country

8.3.3.2. UK

8.3.3.3. Market size and forecast

8.3.3.4. Germany

8.3.3.5. Market size and forecast

8.3.3.6. France

8.3.3.7. Market size and forecast

8.3.3.8. Rest of Europe

8.3.3.9. Market size and forecast

8.4. ASIA-PACIFIC

8.4.1. Key market trends

8.4.2. Key growth factors and opportunities

8.4.3. Market size and forecast

8.4.3.1. Market size and forecast by country

8.4.3.2. China

8.4.3.3. Market size and forecast

8.4.3.4. Japan

8.4.3.5. Market size and forecast

8.4.3.6. India

8.4.3.7. Market size and forecast

8.4.3.8. Rest of Asia-Pacific

8.4.3.9. Market size and forecast

8.5. LATIN AMERICA, THE MIDDLE EAST, & AFRICA (LAMEA)

8.5.1. Key market trends

8.5.2. Key growth factors and opportunities

8.5.3. Market size and forecast

8.5.3.1. Market size and forecast by region

8.5.3.2. Latin America

8.5.3.3. Market size and forecast

8.5.3.4. Middle East

8.5.3.5. Market size and forecast

8.5.3.6. Africa

8.5.3.7. Market size and forecast

CHAPTER 9 COMPANY PROFILES

9.1. GOOGLE INC.

9.1.1. Company Overview

9.1.2. Financial performance

9.1.3. Key strategies & developments

9.2. SAS INSTITUTE INC.

9.2.1. Company Overview

9.2.2. Financial performance

9.2.3. Key strategies & developments

9.3. FICO

9.3.1. Company Overview

9.3.2. Financial performance

9.3.3. Key strategies & developments

9.4. HEWLETT PACKARD ENTERPRISE

9.4.1. Company Overview

9.4.2. Financial performance

9.4.3. Key strategies & developments

9.5. YOTTAMINE ANALYTICS

9.5.1. Company Overview

9.5.2. Financial performance

9.5.3. Key strategies & developments

9.6. AMAZON WEB SERVICES

9.6.1. Company Overview

9.6.2. Financial performance

9.6.3. Key strategies & developments

9.7. BIGML, INC.

9.7.1. Company Overview

9.7.2. Financial performance

9.7.3. Key strategies & developments

9.8. MICROSOFT CORPORATION

9.8.1. Company Overview

9.8.2. Financial performance

9.8.3. Key strategies & developments

9.9. PREDICTRON LABS LTD.

9.9.1. Company Overview

9.9.2. Financial performance

9.9.3. Key strategies & developments

9.10. IBM CORPORATION

9.10.1. Company Overview

9.10.2. Financial performance

9.10.3. Key strategies & developments

LIST OF TABLES

TABLE 1. GLOBAL MACHINE LEARNING AS A SERVICE MARKET REVENUE, BY COMPONENT, 2016-2023 ($MILLION)

TABLE 2. SOFTWARE MARKET BY GEOGRAPHY, 2016-2023 ($MILLION)

TABLE 3. SERVICES MARKET BY GEOGRAPHY, 2016-2023 ($MILLION)

TABLE 4. GLOBAL MACHINE LEARNING AS A SERVICE MARKET REVENUE, BY ORGANIZATION SIZE, 2016-2023 ($MILLION)

TABLE 5. LARGE ENTERPRISES MARKET BY GEOGRAPHY, 2016-2023 ($MILLION)

TABLE 6. SMALL AND MEDIUM ENTERPRISES MARKET BY GEOGRAPHY, 2016-2023 ($MILLION)

TABLE 7. GLOBAL MACHINE LEARNING AS A SERVICE MARKET REVENUE, BY END-USE INDUSTRY, 2016-2023 ($MILLION)

TABLE 8. AEROSPACE AND DEFENSE MACHINE LEARNING AS A SERVICE MARKET, BY REGION, 2016-2023 ($MILLION)

TABLE 9. IT AND TELECOM MACHINE LEARNING AS A SERVICE MARKET, BY REGION, 2016-2023 ($MILLION)

TABLE 10. ENERGY AND UTILITIES MACHINE LEARNING AS A SERVICE MARKET, BY REGION, 2016-2023 ($MILLION)

TABLE 11. PUBLIC SECTOR MACHINE LEARNING AS A SERVICE MARKET, BY REGION, 2016-2023 ($MILLION)

TABLE 12. MANUFACTURING MACHINE LEARNING AS A SERVICE MARKET, BY REGION, 2016-2023 ($MILLION)

TABLE 13. BFSI MACHINE LEARNING AS A SERVICE MARKET, BY REGION, 2016-2023 ($MILLION)

TABLE 14. HEALTHCARE MACHINE LEARNING AS A SERVICE MARKET, BY REGION, 2016-2023 ($MILLION)

TABLE 15. RETAIL MACHINE LEARNING AS A SERVICE MARKET, BY REGION, 2016-2023 ($MILLION)

TABLE 16. OTHERS MACHINE LEARNING AS A SERVICE MARKET, BY REGION, 2016-2023 ($MILLION)

TABLE 17. GLOBAL MACHINE LEARNING AS A SERVICE MARKET REVENUE, BY APPLICATION, 2016-2023 ($MILLION)

TABLE 18. MARKETING AND ADVERTISING MARKET BY GEOGRAPHY, 2016-2023 ($MILLION)

TABLE 19. FRAUD DETECTION AND RISK MANAGEMENT MARKET BY GEOGRAPHY, 2016-2023 ($MILLION)

TABLE 20. PREDICTIVE ANALYTICS MARKET BY GEOGRAPHY, 2016-2023 ($MILLION)

TABLE 21. AUGMENTED & VIRTUAL REALITY MARKET, BY GEOGRAPHY, 2016-2023 ($MILLION)

TABLE 22. NATURAL LANGUAGE PROCESSING MARKET, BY GEOGRAPHY, 2016-2023 ($MILLION)

TABLE 23. COMPUTER VISION MARKET, BY GEOGRAPHY, 2016-2023 ($MILLION)

TABLE 24. SECURITY AND SURVEILLANCE MARKET, BY GEOGRAPHY, 2016-2023 ($MILLION)

TABLE 25. OTHERS MARKET, BY GEOGRAPHY, 2016-2023 ($MILLION)

TABLE 26. MACHINE LEARNING AS A SERVICE MARKET BY REGION, 2016-2023 ($MILLION)

TABLE 27. NORTH AMERICA: MACHINE LEARNING AS A SERVICE MARKET BY COUNTRY, 2016-2023 ($MILLION)

TABLE 28. EUROPE: MACHINE LEARNING AS A SERVICE MARKET BY COUNTRY, 2016-2023 ($MILLION)

TABLE 29. ASIA-PACIFIC: MACHINE LEARNING AS A SERVICE MARKET BY COUNTRY, 2016-2023 ($MILLION)

TABLE 30. LAMEA: MACHINE LEARNING AS A SERVICE MARKET BY REGION, 2016-2023 ($MILLION)

TABLE 31. COMPANY SNAPSHOT: GOOGLE INC.

TABLE 32. COMPANY SNAPSHOT: SAS INSTITUTE INC.

TABLE 33. COMPANY SNAPSHOT: FICO

TABLE 34. COMPANY SNAPSHOT: HEWLETT PACKARD ENTERPRISE

TABLE 35. COMPANY SNAPSHOT: YOTTAMINE ANALYTICS

TABLE 36. COMPANY SNAPSHOT: AMAZON WEB SERVICES

TABLE 37. COMPANY SNAPSHOT: BIGML, INC.

TABLE 38. COMPANY SNAPSHOT: MICROSOFT CORPORATION

TABLE 39. COMPANY SNAPSHOT: PREDICTRON LABS LTD.

TABLE 40. COMPANY SNAPSHOT: IBM CORPORATION

LIST OF FIGURES

FIGURE 1. KEY MARKET SEGMENTATION

FIGURE 2. ASIA-PACIFIC: A LUCRATIVE MARKET FOR MACHINE LEARNING AS A SERVICE MARKET

FIGURE 3. TOP IMPACTING FACTORS

FIGURE 4. TOP INVESTMENT POCKETS IN THE GLOBAL MACHINE LEARNING AS A SERVICE MARKET

FIGURE 5. TOP WINNING STRATEGIES

FIGURE 6. TOP WINNING STRATEGY

FIGURE 7. BARGAINING POWER OF SUPPLIERS

FIGURE 8. BARGAINING POWER OF BUYERS

FIGURE 9. THREAT OF SUBSTITUTES

FIGURE 10. THREAT OF NEW ENTRANTS

FIGURE 11. COMPETITIVE RIVALRY

FIGURE 12. KEY PLAYER POSITIONING OF GLOBAL MACHINE LEARNING AS A SERVICE MARKET, 2016 (%)

FIGURE 13. MARKET DYNAMICS

FIGURE 14. MACHINE LEARNING AS A SERVICE MARKET BY COMPONENT

FIGURE 15. GLOBAL MACHINE LEARNING AS A SERVICE MARKET REVENUE, BY COMPONENT, 2016-2023 ($MILLION)

FIGURE 16. MACHINE LEARNING AS A SERVICE MARKET BY ORGANIZATION SIZE

FIGURE 17. GLOBAL MACHINE LEARNING AS A SERVICE MARKET REVENUE, BY ORGANIZATION SIZE, 2016-2023 ($MILLION)

FIGURE 18. MACHINE LEARNING AS A SERVICE MARKET, BY END-USE INDUSTRY

FIGURE 19. GLOBAL MACHINE LEARNING AS A SERVICE MARKET REVENUE, BY END-USE INDUSTRY, 2016-2023 ($MILLION)

FIGURE 22. MACHINE LEARNING AS A SERVICE MARKET, BY REGION

FIGURE 23. NORTH AMERICA: MACHINE LEARNING AS A SERVICE MARKET

FIGURE 24. U.S. MACHINE LEARNING AS A SERVICE MARKET, 2016-2023 ($MILLION)

FIGURE 25. CANADA MACHINE LEARNING AS A SERVICE MARKET, 2016-2023 ($MILLION)

FIGURE 26. MEXICO MACHINE LEARNING AS A SERVICE MARKET, 2016-2023 ($MILLION)

FIGURE 27. EUROPE: MACHINE LEARNING AS A SERVICE MARKET

FIGURE 28. U.K. MACHINE LEARNING AS A SERVICE MARKET, 2016-2023 ($MILLION)

FIGURE 29. GERMANY MACHINE LEARNING AS A SERVICE MARKET, 2016-2023 ($MILLION)

FIGURE 30. FRANCE MACHINE LEARNING AS A SERVICE MARKET, 2016-2023 ($MILLION)

FIGURE 31. REST OF EUROPE MACHINE LEARNING AS A SERVICE MARKET, 2016-2023 ($MILLION)

FIGURE 32. ASIA-PACIFIC: MACHINE LEARNING AS A SERVICE MARKET

FIGURE 33. CHINA MACHINE LEARNING AS A SERVICE MARKET, 2016-2023 ($MILLION)

FIGURE 34. JAPAN MACHINE LEARNING AS A SERVICE MARKET, 2016-2023 ($MILLION)

FIGURE 35. INDIA MACHINE LEARNING AS A SERVICE MARKET, 2016-2023 ($MILLION)

FIGURE 36. REST OF ASIA-PACIFIC MACHINE LEARNING AS A SERVICE MARKET, 2016-2023 ($MILLION)

FIGURE 37. LAMEA: MACHINE LEARNING AS A SERVICE MARKET

FIGURE 38. LAMEA MACHINE LEARNING AS A SERVICE MARKET, 2016-2023 ($MILLION)

FIGURE 39. MIDDLE EAST MACHINE LEARNING AS A SERVICE MARKET, 2016-2023 ($MILLION)

FIGURE 40. AFRICA MACHINE LEARNING AS A SERVICE MARKET, 2016-2023 ($MILLION)

FIGURE 41. FINANCIAL PERFORMANCE: GOOGLE INC.

FIGURE 42. FINANCIAL PERFORMANCE: SAS INSTITUTE INC.

FIGURE 43. FINANCIAL PERFORMANCE: FICO

FIGURE 44. FINANCIAL PERFORMANCE: HEWLETT PACKARD ENTERPRISE

FIGURE 45. FINANCIAL PERFORMANCE: YOTTAMINE ANALYTICS

FIGURE 46. FINANCIAL PERFORMANCE: AMAZON WEB SERVICES

FIGURE 47. FINANCIAL PERFORMANCE: BIGML, INC.

FIGURE 48. FINANCIAL PERFORMANCE: MICROSOFT CORPORATION

FIGURE 49. FINANCIAL PERFORMANCE: PREDICTRON LABS LTD.

FIGURE 50. FINANCIAL PERFORMANCE: IBM CORPORATION