Machine Learning as a Service (MLaaS) Market by Component (Software Tools, Services), Organization Size, Application (Marketing, Risk Analytics & Fraud Detection, Predictive Maintenance, Network Analytics), Service and Region - Global Forecast to 2021
“The need to enhance the decision-making capability of machines is driving the Machine Learning as a service (MLaaS) market”
The MLaaS market size is estimated to grow from USD 613.4 million in 2016 to USD 3,755.0 million by 2021, at a Compound Annual Growth Rate (CAGR) of 43.7% from 2016 to 2021. The adoption of cloud-based technologies, strong need to understand customer behavior, and advancements in technologies are increasing the adoption of MLaaS across end users. MLaaS with the help of pattern recognition, advanced analytical methodologies, and APIs is able to make better decisions. With the use of machine learning algorithm, decision-making abilities improve over time without being explicitly programmed. However, the lack of skilled consultants to deploy machine learning services and government and compliance issues are limiting the growth of MLaaS solutions in the market.
“Healthcare industry among all the verticals is expected to gain the maximum traction during the forecast period”
The application of MLaaS in the healthcare industry is used to understand customer behavior and derive in-depth insight into clinical performance. It is also efficient in forecasting future outcomes of patients by the use of advance analytics technology.
Organizations are using machine learning based applications to handle the needs of medical professionals. Due to the real-time data delivery feature of machine learning, medical experts get a clear idea about the patient’s current situation. Machine learning also assists in better diagnosis of the patients.
“North America is projected to grow at the highest rate during the forecast period”
North America is expected to hold the largest market share during the forecast period. One of the prime reasons for this is the increasing number of Small and Medium Enterprises (SMEs) in the MLaaS market providing customized services and solutions. As artificial intelligence is gaining momentum in North America, small players are providing machine learning solutions across multiple verticals as well as applications. Due to this, many major organizations in the market are also acquiring the smaller companies. The region has dominance in the market as the countries in the regions have well-established economies, which allow them to invest in new technologies. The market in North America is expected to witness exponential growth and is projected to be the fastest growing region for the MLaaS market. The growth of MLaaS in the region is fueled by the increased need for enterprise mobility and cloud-based solutions. In addition, the rapid expansion of enterprises in the region is another factor driving the growth of the MLaaS market.
In the process of determining and verifying the market size for several segments and subsegments gathered through secondary research, extensive primary interviews were conducted with key people. Break-up of profiles of primary participants is as follows:
1. Microsoft (Washington, U.S.)
2. IBM (New York, U.S.)
3. Google, Inc. (California, U.S.)
4. AWS, Inc. (Washington, U.S.)
5. BigML, Inc. (Orlando, U.S.)
6. FICO (California, U.S.)
7. HPE (California, U.S.)
Research Coverage:
The report provides an analysis of MLaaS and associated services across different industry verticals and regions. It aims at estimating the market size and future growth potential of this market across different segments such as application, service, deployment type, user type, industry verticals, and regions. Furthermore, the report also includes an in-depth competitive analysis of the key players in the market along with their company profiles, SWOT analysis, recent developments, and key market strategies.
REASONS TO BUY THE REPORT:
The report will help the market leaders/new entrants in this market by providing them the closest approximations of the revenue numbers for the overall MLaaS market and the subsegments. This report will help stakeholders to better understand the competitor landscape and gain more insights to better position their businesses and make suitable go-to-market strategies. The report also helps the stakeholders to understand the pulse of the market and provides them information on key market drivers, restraints, challenges, and opportunities.
The MLaaS market size is estimated to grow from USD 613.4 million in 2016 to USD 3,755.0 million by 2021, at a Compound Annual Growth Rate (CAGR) of 43.7% from 2016 to 2021. The adoption of cloud-based technologies, strong need to understand customer behavior, and advancements in technologies are increasing the adoption of MLaaS across end users. MLaaS with the help of pattern recognition, advanced analytical methodologies, and APIs is able to make better decisions. With the use of machine learning algorithm, decision-making abilities improve over time without being explicitly programmed. However, the lack of skilled consultants to deploy machine learning services and government and compliance issues are limiting the growth of MLaaS solutions in the market.
“Healthcare industry among all the verticals is expected to gain the maximum traction during the forecast period”
The application of MLaaS in the healthcare industry is used to understand customer behavior and derive in-depth insight into clinical performance. It is also efficient in forecasting future outcomes of patients by the use of advance analytics technology.
Organizations are using machine learning based applications to handle the needs of medical professionals. Due to the real-time data delivery feature of machine learning, medical experts get a clear idea about the patient’s current situation. Machine learning also assists in better diagnosis of the patients.
“North America is projected to grow at the highest rate during the forecast period”
North America is expected to hold the largest market share during the forecast period. One of the prime reasons for this is the increasing number of Small and Medium Enterprises (SMEs) in the MLaaS market providing customized services and solutions. As artificial intelligence is gaining momentum in North America, small players are providing machine learning solutions across multiple verticals as well as applications. Due to this, many major organizations in the market are also acquiring the smaller companies. The region has dominance in the market as the countries in the regions have well-established economies, which allow them to invest in new technologies. The market in North America is expected to witness exponential growth and is projected to be the fastest growing region for the MLaaS market. The growth of MLaaS in the region is fueled by the increased need for enterprise mobility and cloud-based solutions. In addition, the rapid expansion of enterprises in the region is another factor driving the growth of the MLaaS market.
In the process of determining and verifying the market size for several segments and subsegments gathered through secondary research, extensive primary interviews were conducted with key people. Break-up of profiles of primary participants is as follows:
- By Company: Tier 1: 56%, Tier 2: 20%, and Tier 3: 24%
- By Designation: C level: 72% and Director level: 28%
- By Region: North America: 58%, Europe: 22%, and APAC: 20%
1. Microsoft (Washington, U.S.)
2. IBM (New York, U.S.)
3. Google, Inc. (California, U.S.)
4. AWS, Inc. (Washington, U.S.)
5. BigML, Inc. (Orlando, U.S.)
6. FICO (California, U.S.)
7. HPE (California, U.S.)
Research Coverage:
The report provides an analysis of MLaaS and associated services across different industry verticals and regions. It aims at estimating the market size and future growth potential of this market across different segments such as application, service, deployment type, user type, industry verticals, and regions. Furthermore, the report also includes an in-depth competitive analysis of the key players in the market along with their company profiles, SWOT analysis, recent developments, and key market strategies.
REASONS TO BUY THE REPORT:
The report will help the market leaders/new entrants in this market by providing them the closest approximations of the revenue numbers for the overall MLaaS market and the subsegments. This report will help stakeholders to better understand the competitor landscape and gain more insights to better position their businesses and make suitable go-to-market strategies. The report also helps the stakeholders to understand the pulse of the market and provides them information on key market drivers, restraints, challenges, and opportunities.
1 INTRODUCTION
1.1 OBJECTIVES OF THE STUDY
1.2 MARKET DEFINITION
1.3 MARKET SCOPE
1.3.1 MARKETS COVERED
1.3.2 YEARS CONSIDERED
1.4 CURRENCY
1.5 LIMITATIONS
1.6 STAKEHOLDERS
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.1.1 Key data from secondary sources
2.1.2 PRIMARY DATA
2.1.2.1 Data from primary sources
2.1.2.2 Key industry insights
2.1.2.3 Breakdown of primaries
2.2 MARKET SIZE ESTIMATION
2.2.1 BOTTOM-UP APPROACH
2.2.2 TOP-DOWN APPROACH
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION
2.4 RESEARCH ASSUMPTIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES IN THE MACHINE LEARNING AS A SERVICE MARKET
4.2 MACHINE LEARNING AS A SERVICE MARKET: ENTERPRISE APPLICATIONS
4.3 GLOBAL MACHINE LEARNING AS A SERVICE MARKET, BY REGION AND INDUSTRY VERTICAL
4.4 MACHINE LEARNING AS A SERVICE MARKET POTENTIAL
4.5 LIFECYCLE ANALYSIS, BY REGION, 2016
5 MARKET OVERVIEW
5.1 INTRODUCTION
5.2 MARKET SEGMENTATION
5.2.1 BY COMPONENT
5.2.2 BY ORGANIZATION SIZE
5.2.3 BY ENTERPRISE APPLICATION
5.2.4 BY INDUSTRY VERTICAL
5.2.5 BY REGION
5.3 MARKET DYNAMICS
5.3.1 DRIVERS
5.3.1.1 Adoption of cloud-based technologies
5.3.1.2 Strong need to understand customer behavior
5.3.1.3 Advancements in technologies
5.3.2 RESTRAINTS
5.3.2.1 Government and compliance issues
5.3.2.2 Lack of skilled consultants to deploy machine learning services
5.3.3 OPPORTUNITIES
5.3.3.1 Emerging options in application areas
5.3.3.2 Increasing investments in the healthcare industry
5.3.3.3 Improved connectivity and increase in data from IoT platforms
5.3.4 CHALLENGES
5.3.4.1 Need for effective predictive technologies
5.3.4.2 Integration into the enterprises
6 INDUSTRY TRENDS
6.1 INTRODUCTION
6.2 MACHINE LEARNING AS A SERVICE: EVOLUTION
6.3 MACHINE LEARNING AS A SERVICE: VALUE CHAIN ANALYSIS
6.4 STANDARDS AND REGULATIONS
6.4.1 INTRODUCTION
6.4.2 CLOUD COMPUTING ASSOCIATION (CCA)
6.4.3 STORAGE NETWORKING INDUSTRY ASSOCIATION (SNIA)
6.4.4 INTERNATIONAL ORGANIZATION FOR STANDARDIZATION
6.4.5 INTERNATIONAL TELECOMMUNICATION UNION
7 MACHINE LEARNING AS A SERVICE MARKET ANALYSIS, BY COMPONENT
7.1 INTRODUCTION
7.2 SOFTWARE TOOLS
7.2.1 DATA STORAGE AND ARCHIVING
7.2.2 MODELER AND PROCESSING
7.2.3 CLOUD AND WEB-BASED APPLICATION PROGRAMMING INTERFACE
7.2.4 OTHERS
7.3 SERVICES
7.3.1 PROFESSIONAL SERVICES
7.3.2 MANAGED SERVICES
8 MACHINE LEARNING AS A SERVICE MARKET ANALYSIS, BY APPLICATION
8.1 INTRODUCTION
8.2 MARKETING AND ADVERTISING
8.3 FRAUD DETECTION AND RISK ANALYTICS
8.4 PREDICTIVE MAINTENANCE
8.5 AUGMENTED REALITY
8.6 NETWORK ANALYTICS AND AUTOMATED TRAFFIC MANAGEMENT
8.7 OTHERS
9 MACHINE LEARNING AS A SERVICE MARKET ANALYSIS, BY ORGANIZATION SIZE
9.1 INTRODUCTION
9.2 SMALL AND MEDIUM ENTERPRISES
9.3 LARGE ENTERPRISES
10 MACHINE LEARNING AS A SERVICE MARKET ANALYSIS, BY VERTICAL
10.1 INTRODUCTION
10.2 EDUCATION
10.3 BANKING AND FINANCIAL SERVICES
10.4 INSURANCE
10.5 AUTOMOTIVE AND TRANSPORTATION
10.6 HEALTHCARE
10.7 DEFENSE
10.8 RETAIL AND E-COMMERCE
10.9 MEDIA AND ENTERTAINMENT
10.10 TELECOM
10.11 OTHERS
11 GEOGRAPHIC ANALYSIS
11.1 INTRODUCTION
11.2 GEOGRAPHICAL SEGMENT
11.2.1 NORTH AMERICA
11.2.2 EUROPE
11.2.3 ASIA-PACIFIC
11.2.4 REST OF THE WORLD (ROW)
12 COMPETITIVE LANDSCAPE
12.1 OVERVIEW
12.2 COMPETITIVE SITUATION AND TRENDS
12.2.1 NEW PRODUCT LAUNCHES AND ENHANCEMENTS
12.2.2 PARTNERSHIPS, AGREEMENTS, AND COLLABORATIONS
12.2.3 MERGERS AND ACQUISITIONS
12.2.4 BUSINESS EXPANSIONS
13 COMPANY PROFILES
(Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*
13.1 INTRODUCTION
13.2 MICROSOFT
13.3 INTERNATIONAL BUSINESS MACHINE CORPORATION
13.4 AMAZON WEB SERVICES
13.5 GOOGLE, INC.
13.6 BIGML, INC.
13.7 FICO
13.8 HEWLETT-PACKARD ENTERPRISE DEVELOPMENT LP.
*Details on Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View might not be captured in case of unlisted companies.
14 KEY INNOVATORS
14.1 AT&T
14.2 FUZZY.AI
14.3 YOTTAMINE ANALYTICS, LLC
14.4 ERSATZ LABS, INC.
14.5 SIFT SCIENCE, INC.
15 APPENDIX
15.1 INDUSTRY EXPERTS
15.2 DISCUSSION GUIDE
15.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
15.4 INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE
15.5 RELATED REPORTS
1.1 OBJECTIVES OF THE STUDY
1.2 MARKET DEFINITION
1.3 MARKET SCOPE
1.3.1 MARKETS COVERED
1.3.2 YEARS CONSIDERED
1.4 CURRENCY
1.5 LIMITATIONS
1.6 STAKEHOLDERS
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.1.1 Key data from secondary sources
2.1.2 PRIMARY DATA
2.1.2.1 Data from primary sources
2.1.2.2 Key industry insights
2.1.2.3 Breakdown of primaries
2.2 MARKET SIZE ESTIMATION
2.2.1 BOTTOM-UP APPROACH
2.2.2 TOP-DOWN APPROACH
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION
2.4 RESEARCH ASSUMPTIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES IN THE MACHINE LEARNING AS A SERVICE MARKET
4.2 MACHINE LEARNING AS A SERVICE MARKET: ENTERPRISE APPLICATIONS
4.3 GLOBAL MACHINE LEARNING AS A SERVICE MARKET, BY REGION AND INDUSTRY VERTICAL
4.4 MACHINE LEARNING AS A SERVICE MARKET POTENTIAL
4.5 LIFECYCLE ANALYSIS, BY REGION, 2016
5 MARKET OVERVIEW
5.1 INTRODUCTION
5.2 MARKET SEGMENTATION
5.2.1 BY COMPONENT
5.2.2 BY ORGANIZATION SIZE
5.2.3 BY ENTERPRISE APPLICATION
5.2.4 BY INDUSTRY VERTICAL
5.2.5 BY REGION
5.3 MARKET DYNAMICS
5.3.1 DRIVERS
5.3.1.1 Adoption of cloud-based technologies
5.3.1.2 Strong need to understand customer behavior
5.3.1.3 Advancements in technologies
5.3.2 RESTRAINTS
5.3.2.1 Government and compliance issues
5.3.2.2 Lack of skilled consultants to deploy machine learning services
5.3.3 OPPORTUNITIES
5.3.3.1 Emerging options in application areas
5.3.3.2 Increasing investments in the healthcare industry
5.3.3.3 Improved connectivity and increase in data from IoT platforms
5.3.4 CHALLENGES
5.3.4.1 Need for effective predictive technologies
5.3.4.2 Integration into the enterprises
6 INDUSTRY TRENDS
6.1 INTRODUCTION
6.2 MACHINE LEARNING AS A SERVICE: EVOLUTION
6.3 MACHINE LEARNING AS A SERVICE: VALUE CHAIN ANALYSIS
6.4 STANDARDS AND REGULATIONS
6.4.1 INTRODUCTION
6.4.2 CLOUD COMPUTING ASSOCIATION (CCA)
6.4.3 STORAGE NETWORKING INDUSTRY ASSOCIATION (SNIA)
6.4.4 INTERNATIONAL ORGANIZATION FOR STANDARDIZATION
6.4.5 INTERNATIONAL TELECOMMUNICATION UNION
7 MACHINE LEARNING AS A SERVICE MARKET ANALYSIS, BY COMPONENT
7.1 INTRODUCTION
7.2 SOFTWARE TOOLS
7.2.1 DATA STORAGE AND ARCHIVING
7.2.2 MODELER AND PROCESSING
7.2.3 CLOUD AND WEB-BASED APPLICATION PROGRAMMING INTERFACE
7.2.4 OTHERS
7.3 SERVICES
7.3.1 PROFESSIONAL SERVICES
7.3.2 MANAGED SERVICES
8 MACHINE LEARNING AS A SERVICE MARKET ANALYSIS, BY APPLICATION
8.1 INTRODUCTION
8.2 MARKETING AND ADVERTISING
8.3 FRAUD DETECTION AND RISK ANALYTICS
8.4 PREDICTIVE MAINTENANCE
8.5 AUGMENTED REALITY
8.6 NETWORK ANALYTICS AND AUTOMATED TRAFFIC MANAGEMENT
8.7 OTHERS
9 MACHINE LEARNING AS A SERVICE MARKET ANALYSIS, BY ORGANIZATION SIZE
9.1 INTRODUCTION
9.2 SMALL AND MEDIUM ENTERPRISES
9.3 LARGE ENTERPRISES
10 MACHINE LEARNING AS A SERVICE MARKET ANALYSIS, BY VERTICAL
10.1 INTRODUCTION
10.2 EDUCATION
10.3 BANKING AND FINANCIAL SERVICES
10.4 INSURANCE
10.5 AUTOMOTIVE AND TRANSPORTATION
10.6 HEALTHCARE
10.7 DEFENSE
10.8 RETAIL AND E-COMMERCE
10.9 MEDIA AND ENTERTAINMENT
10.10 TELECOM
10.11 OTHERS
11 GEOGRAPHIC ANALYSIS
11.1 INTRODUCTION
11.2 GEOGRAPHICAL SEGMENT
11.2.1 NORTH AMERICA
11.2.2 EUROPE
11.2.3 ASIA-PACIFIC
11.2.4 REST OF THE WORLD (ROW)
12 COMPETITIVE LANDSCAPE
12.1 OVERVIEW
12.2 COMPETITIVE SITUATION AND TRENDS
12.2.1 NEW PRODUCT LAUNCHES AND ENHANCEMENTS
12.2.2 PARTNERSHIPS, AGREEMENTS, AND COLLABORATIONS
12.2.3 MERGERS AND ACQUISITIONS
12.2.4 BUSINESS EXPANSIONS
13 COMPANY PROFILES
(Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*
13.1 INTRODUCTION
13.2 MICROSOFT
13.3 INTERNATIONAL BUSINESS MACHINE CORPORATION
13.4 AMAZON WEB SERVICES
13.5 GOOGLE, INC.
13.6 BIGML, INC.
13.7 FICO
13.8 HEWLETT-PACKARD ENTERPRISE DEVELOPMENT LP.
*Details on Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View might not be captured in case of unlisted companies.
14 KEY INNOVATORS
14.1 AT&T
14.2 FUZZY.AI
14.3 YOTTAMINE ANALYTICS, LLC
14.4 ERSATZ LABS, INC.
14.5 SIFT SCIENCE, INC.
15 APPENDIX
15.1 INDUSTRY EXPERTS
15.2 DISCUSSION GUIDE
15.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
15.4 INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE
15.5 RELATED REPORTS
LIST OF TABLES
Table 1 MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD BILLION)
Table 2 MACHINE LEARNING AS A SERVICE MARKET SIZE, BY COMPONENT, 2014–2021 (USD MILLION)
Table 3 MACHINE LEARNING AS A SERVICE MARKET SIZE, BY SOFTWARE TOOL, 2014–2021 (USD MILLION)
Table 4 DATA STORAGE AND ARCHIVING: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2014–2021 (USD MILLION)
Table 5 DATA STORAGE AND ARCHIVING: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 6 MODELER AND PROCESSING: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2014–2021 (USD MILLION)
Table 7 MODELER AND PROCESSING: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 8 CLOUD AND WEB-BASED APPLICATION PROGRAMMING INTERFACES: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2014–2021 (USD MILLION)
Table 9 CLOUD AND WEB-BASED APPLICATION PROGRAMMING INTERFACES: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 10 OTHERS: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2014–2021 (USD MILLION)
Table 11 OTHERS: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 12 MACHINE LEARNING AS A SERVICE MARKET SIZE, BY SERVICE, 2014–2021 (USD MILLION)
Table 13 PROFESSIONAL SERVICES: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2014–2021 (USD MILLION)
Table 14 PROFESSIONAL SERVICES: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 15 MANAGED SERVICES: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2014–2021 (USD MILLION)
Table 16 MANAGED SERVICES: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 17 MACHINE LEARNING AS A SERVICE MARKET SIZE, BY ENTERPRISE APPLICATION, 2014–2021 (USD MILLION)
Table 18 MARKETING AND ADVERTISING: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 19 MARKETING AND ADVERTISING: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 20 FRAUD DETECTION AND RISK ANALYTICS: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 21 FRAUD DETECTION AND RISK ANALYTICS: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 22 PREDICTIVE MAINTENANCE: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 23 PREDICTIVE MAINTENANCE: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 24 AUGMENTED REALITY: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 25 AUGMENTED REALITY: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 26 NETWORK ANALYTICS AND AUTOMATED TRAFFIC MANAGEMENT: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 27 NETWORK ANALYTICS AND AUTOMATED TRAFFIC MANAGEMENT: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 28 OTHERS: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 29 OTHERS: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 30 MACHINE LEARNING AS A SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2014–2021 (USD MILLION)
Table 31 SMALL AND MEDIUM ENTERPRISES: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 32 LARGE ENTERPRISES: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 33 MACHINE LEARNING AS A SERVICE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 34 EDUCATION: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 35 BANKING AND FINANCIAL SERVICES: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 36 INSURANCE: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 37 AUTOMOTIVE AND TRANSPORTATION: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 38 HEALTHCARE: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 39 DEFENSE: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 40 RETAIL AND E-COMMERCE: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 41 MEDIA AND ENTERTAINMENT: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 42 TELECOM: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 43 OTHERS: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 44 MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 45 NORTH AMERICA: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY COMPONENT, 2014–2021 (USD MILLION)
Table 46 NORTH AMERICA: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY SOFTWARE TOOL, 2014–2021 (USD MILLION)
Table 47 NORTH AMERICA: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY SERVICE, 2014–2021 (USD MILLION)
Table 48 NORTH AMERICA: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2014–2021 (USD MILLION)
Table 49 NORTH AMERICA: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY ENTERPRISE APPLICATION, 2014–2021 (USD MILLION)
Table 50 NORTH AMERICA: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 51 EUROPE: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY COMPONENT, 2014–2021 (USD MILLION)
Table 52 EUROPE: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY SOFTWARE TOOL, 2014–2021 (USD MILLION)
Table 53 EUROPE: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY SERVICE, 2014–2021 (USD MILLION)
Table 54 EUROPE: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2014–2021 (USD MILLION)
Table 55 EUROPE: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY ENTERPRISE APPLICATION, 2014–2021 (USD MILLION)
Table 56 EUROPE: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 57 ASIA-PACIFIC: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY COMPONENT, 2014–2021 (USD MILLION)
Table 58 ASIA-PACIFIC: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY SOFTWARE TOOL, 2014–2021 (USD MILLION)
Table 59 ASIA-PACIFIC: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY SERVICE, 2014–2021 (USD MILLION)
Table 60 ASIA-PACIFIC: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2014–2021 (USD MILLION)
Table 61 ASIA-PACIFIC: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY ENTERPRISE APPLICATION, 2014–2021 (USD MILLION)
Table 62 ASIA-PACIFIC: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 63 REST OF THE WORLD: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY COMPONENT, 2014–2021 (USD MILLION)
Table 64 REST OF THE WORLD: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY SOFTWARE TOOL, 2014–2021 (USD MILLION)
Table 65 REST OF THE WORLD: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY SERVICE, 2014–2021 (USD MILLION)
Table 66 REST OF THE WORLD: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2014–2021 (USD MILLION)
Table 67 REST OF THE WORLD: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY ENTERPRISE APPLICATION, 2014–2021 (USD MILLION)
Table 68 REST OF THE WORLD: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 69 NEW PRODUCT LAUNCHES AND ENHANCEMENTS, 2014–2016
Table 70 PARTNERSHIPS, AGREEMENTS, AND COLLABORATIONS, 2014–2016
Table 71 MERGERS AND ACQUISITIONS, 2014–2016
Table 72 BUSINESS EXPANSIONS, 2014–2016
Table 1 MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD BILLION)
Table 2 MACHINE LEARNING AS A SERVICE MARKET SIZE, BY COMPONENT, 2014–2021 (USD MILLION)
Table 3 MACHINE LEARNING AS A SERVICE MARKET SIZE, BY SOFTWARE TOOL, 2014–2021 (USD MILLION)
Table 4 DATA STORAGE AND ARCHIVING: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2014–2021 (USD MILLION)
Table 5 DATA STORAGE AND ARCHIVING: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 6 MODELER AND PROCESSING: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2014–2021 (USD MILLION)
Table 7 MODELER AND PROCESSING: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 8 CLOUD AND WEB-BASED APPLICATION PROGRAMMING INTERFACES: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2014–2021 (USD MILLION)
Table 9 CLOUD AND WEB-BASED APPLICATION PROGRAMMING INTERFACES: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 10 OTHERS: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2014–2021 (USD MILLION)
Table 11 OTHERS: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 12 MACHINE LEARNING AS A SERVICE MARKET SIZE, BY SERVICE, 2014–2021 (USD MILLION)
Table 13 PROFESSIONAL SERVICES: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2014–2021 (USD MILLION)
Table 14 PROFESSIONAL SERVICES: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 15 MANAGED SERVICES: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2014–2021 (USD MILLION)
Table 16 MANAGED SERVICES: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 17 MACHINE LEARNING AS A SERVICE MARKET SIZE, BY ENTERPRISE APPLICATION, 2014–2021 (USD MILLION)
Table 18 MARKETING AND ADVERTISING: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 19 MARKETING AND ADVERTISING: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 20 FRAUD DETECTION AND RISK ANALYTICS: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 21 FRAUD DETECTION AND RISK ANALYTICS: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 22 PREDICTIVE MAINTENANCE: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 23 PREDICTIVE MAINTENANCE: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 24 AUGMENTED REALITY: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 25 AUGMENTED REALITY: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 26 NETWORK ANALYTICS AND AUTOMATED TRAFFIC MANAGEMENT: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 27 NETWORK ANALYTICS AND AUTOMATED TRAFFIC MANAGEMENT: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 28 OTHERS: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 29 OTHERS: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 30 MACHINE LEARNING AS A SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2014–2021 (USD MILLION)
Table 31 SMALL AND MEDIUM ENTERPRISES: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 32 LARGE ENTERPRISES: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 33 MACHINE LEARNING AS A SERVICE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 34 EDUCATION: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 35 BANKING AND FINANCIAL SERVICES: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 36 INSURANCE: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 37 AUTOMOTIVE AND TRANSPORTATION: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 38 HEALTHCARE: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 39 DEFENSE: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 40 RETAIL AND E-COMMERCE: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 41 MEDIA AND ENTERTAINMENT: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 42 TELECOM: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 43 OTHERS: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 44 MACHINE LEARNING AS A SERVICE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 45 NORTH AMERICA: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY COMPONENT, 2014–2021 (USD MILLION)
Table 46 NORTH AMERICA: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY SOFTWARE TOOL, 2014–2021 (USD MILLION)
Table 47 NORTH AMERICA: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY SERVICE, 2014–2021 (USD MILLION)
Table 48 NORTH AMERICA: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2014–2021 (USD MILLION)
Table 49 NORTH AMERICA: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY ENTERPRISE APPLICATION, 2014–2021 (USD MILLION)
Table 50 NORTH AMERICA: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 51 EUROPE: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY COMPONENT, 2014–2021 (USD MILLION)
Table 52 EUROPE: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY SOFTWARE TOOL, 2014–2021 (USD MILLION)
Table 53 EUROPE: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY SERVICE, 2014–2021 (USD MILLION)
Table 54 EUROPE: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2014–2021 (USD MILLION)
Table 55 EUROPE: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY ENTERPRISE APPLICATION, 2014–2021 (USD MILLION)
Table 56 EUROPE: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 57 ASIA-PACIFIC: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY COMPONENT, 2014–2021 (USD MILLION)
Table 58 ASIA-PACIFIC: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY SOFTWARE TOOL, 2014–2021 (USD MILLION)
Table 59 ASIA-PACIFIC: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY SERVICE, 2014–2021 (USD MILLION)
Table 60 ASIA-PACIFIC: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2014–2021 (USD MILLION)
Table 61 ASIA-PACIFIC: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY ENTERPRISE APPLICATION, 2014–2021 (USD MILLION)
Table 62 ASIA-PACIFIC: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 63 REST OF THE WORLD: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY COMPONENT, 2014–2021 (USD MILLION)
Table 64 REST OF THE WORLD: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY SOFTWARE TOOL, 2014–2021 (USD MILLION)
Table 65 REST OF THE WORLD: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY SERVICE, 2014–2021 (USD MILLION)
Table 66 REST OF THE WORLD: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY ORGANIZATION SIZE, 2014–2021 (USD MILLION)
Table 67 REST OF THE WORLD: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY ENTERPRISE APPLICATION, 2014–2021 (USD MILLION)
Table 68 REST OF THE WORLD: MACHINE LEARNING AS A SERVICE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 69 NEW PRODUCT LAUNCHES AND ENHANCEMENTS, 2014–2016
Table 70 PARTNERSHIPS, AGREEMENTS, AND COLLABORATIONS, 2014–2016
Table 71 MERGERS AND ACQUISITIONS, 2014–2016
Table 72 BUSINESS EXPANSIONS, 2014–2016
LIST OF FIGURES
Figure 1 MARKETS COVERED
Figure 2 GLOBAL MACHINE LEARNING AS A SERVICE MARKET: RESEARCH DESIGN
Figure 3 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
Figure 4 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
Figure 5 MARKET BREAKDOWN AND DATA TRIANGULATION
Figure 6 NORTH AMERICA IS EXPECTED TO LEAD THE ADOPTION TREND FOR MACHINE LEARNING AS A SERVICE MARKET
Figure 7 TOP ENTERPRISE APPLICATIONS FOR MACHINE LEARNING AS A SERVICE MARKET IN 2016
Figure 8 MACHINE LEARNING AS A SERVICE MARKET SNAPSHOT (2016–2021): SOFTWARE TOOLS AND SERVICES
Figure 9 MACHINE LEARNING AS A SERVICE MARKET SNAPSHOT (2015 VS. 2020): SOFTWARE TOOLS
Figure 10 MACHINE LEARNING AS A SERVICE MARKET SNAPSHOT (2015 VS. 2020): SERVICES
Figure 11 CLOUD-BASED OPEN-SOURCE PLATFORM IS DRIVING THE MACHINE LEARNING AS A SERVICE MARKET
Figure 12 NETWORK ANALYTICS AMD AUTOMATED TRAFFIC MANAGEMENT IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
Figure 13 RETAIL AND E-COMMERCE VERTICAL IS EXPECTED TO HOLD THE LARGEST MARKET SHARE IN THE MACHINE LEARNING AS A SERVICE MARKET
Figure 14 NORTH AMERICA IS EXPECTED TO HAVE THE HIGHEST GROWTH POTENTIAL DURING THE FORECAST PERIOD
Figure 15 REGIONAL LIFECYCLE: ASIA-PACIFIC IS EXPECTED TO BE IN THE GROWTH PHASE IN 2015
Figure 16 MACHINE LEARNING AS A SERVICE MARKET SEGMENTATION: BY COMPONENT
Figure 17 MACHINE LEARNING AS A SERVICE MARKET SEGMENTATION: BY ORGANIZATION SIZE
Figure 18 MACHINE LEARNING AS A SERVICE MARKET SEGMENTATION: BY ENTERPRISE APPLICATION
Figure 19 MACHINE LEARNING AS A SERVICE MARKET SEGMENTATION: BY INDUSTRY VERTICAL
Figure 20 MACHINE LEARNING AS A SERVICE MARKET SEGMENTATION: BY REGION
Figure 21 MACHINE LEARNING AS A SERVICE MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
Figure 22 MACHINE LEARNING AS A SERVICE EVOLUTION FROM 1950 TO 2015
Figure 23 VALUE CHAIN ANALYSIS
Figure 24 MACHINE LEARNING AS A SERVICE: COMPONENT
Figure 25 GLOBAL MACHINE LEARNING AS A SERVICE: SOFTWARE TOOLS AND SERVICES ADOPTION TREND 2016 VS 2021
Figure 26 CLOUD AND WEB-BASED APPLICATION PROGRAMMING INTERFACES SEGMENT IS EXPECTED TO BE THE FASTEST GROWING IN THE MACHINE LEARNING AS A SERVICE MARKET
Figure 27 MANAGED SERVICES SEGMENT IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
Figure 28 NETWORK ANALYSTICS AND AUTOMATED TRAFFIC MANAGEMENT IS EXPECTED TO WITNESS THE HIGHEST ADOPTION IN THE FORECAST PERIOD
Figure 29 SMALL AND MEDIUM ENTERPRISES SEGMENT IS PROJECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
Figure 30 HEALTHCARE VERTICAL IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
Figure 31 NORTH AMERICA IS PROJECTED TO EXHIBIT THE HIGHEST GROWTH RATE IN THE MACHINE LEARNING AS A SERVICE MARKET, 2016 - 2021
Figure 32 NORTH AMERICA AND EUROPE ARE THE MOST ATTRACTIVE MARKETS FOR INVESTMENTS, 2016-2021
Figure 33 NORTH AMERICA EXPECTED TO GROW AT THE HIGHEST CAGR, 2016-2021
Figure 34 NORTH AMERICA MARKET SNAPSHOT
Figure 35 EUROPE MARKET SNAPSHOT
Figure 36 ASIA-PACIFIC MARKET SNAPSHOT
Figure 37 COMPANIES ADOPTED PARTNERSHIPS AND AGREEMENTS AS THE KEY GROWTH STRATEGY FROM 2013–2016
Figure 38 MARKET EVALUATION FRAMEWORK
Figure 39 BATTLE FOR MARKET SHARE: NEW PRODUCT LAUNCHES AND UPGRADATIONS WAS THE KEY GROWTH STRATEGY OF THE MLAAS MARKET
Figure 40 GEOGRAPHIC REVENUE MIX OF TOP PLAYERS
Figure 41 MICROSOFT: COMPANY SNAPSHOT
Figure 42 MICROSOFT: SWOT ANALYSIS
Figure 43 INTERNATIONAL BUSINESS MACHINE CORPORATION: COMPANY SNAPSHOT
Figure 44 INTERNATIONAL BUSINESS MACHINE CORPORATION: SWOT ANALYSIS
Figure 45 AMAZON WEB SERVICES: COMPANY SNAPSHOT
Figure 46 AMAZON WEB SERVICES: SWOT ANALYSIS
Figure 47 GOOGLE, INC.: COMPANY SNAPSHOT
Figure 48 GOOGLE, INC.: SWOT ANALYSIS
Figure 49 BIGML INC.: SWOT ANALYSIS
Figure 50 FICO: COMPANY SNAPSHOT
Figure 51 HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP: COMPANY SNAPSHOT
Figure 1 MARKETS COVERED
Figure 2 GLOBAL MACHINE LEARNING AS A SERVICE MARKET: RESEARCH DESIGN
Figure 3 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
Figure 4 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
Figure 5 MARKET BREAKDOWN AND DATA TRIANGULATION
Figure 6 NORTH AMERICA IS EXPECTED TO LEAD THE ADOPTION TREND FOR MACHINE LEARNING AS A SERVICE MARKET
Figure 7 TOP ENTERPRISE APPLICATIONS FOR MACHINE LEARNING AS A SERVICE MARKET IN 2016
Figure 8 MACHINE LEARNING AS A SERVICE MARKET SNAPSHOT (2016–2021): SOFTWARE TOOLS AND SERVICES
Figure 9 MACHINE LEARNING AS A SERVICE MARKET SNAPSHOT (2015 VS. 2020): SOFTWARE TOOLS
Figure 10 MACHINE LEARNING AS A SERVICE MARKET SNAPSHOT (2015 VS. 2020): SERVICES
Figure 11 CLOUD-BASED OPEN-SOURCE PLATFORM IS DRIVING THE MACHINE LEARNING AS A SERVICE MARKET
Figure 12 NETWORK ANALYTICS AMD AUTOMATED TRAFFIC MANAGEMENT IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
Figure 13 RETAIL AND E-COMMERCE VERTICAL IS EXPECTED TO HOLD THE LARGEST MARKET SHARE IN THE MACHINE LEARNING AS A SERVICE MARKET
Figure 14 NORTH AMERICA IS EXPECTED TO HAVE THE HIGHEST GROWTH POTENTIAL DURING THE FORECAST PERIOD
Figure 15 REGIONAL LIFECYCLE: ASIA-PACIFIC IS EXPECTED TO BE IN THE GROWTH PHASE IN 2015
Figure 16 MACHINE LEARNING AS A SERVICE MARKET SEGMENTATION: BY COMPONENT
Figure 17 MACHINE LEARNING AS A SERVICE MARKET SEGMENTATION: BY ORGANIZATION SIZE
Figure 18 MACHINE LEARNING AS A SERVICE MARKET SEGMENTATION: BY ENTERPRISE APPLICATION
Figure 19 MACHINE LEARNING AS A SERVICE MARKET SEGMENTATION: BY INDUSTRY VERTICAL
Figure 20 MACHINE LEARNING AS A SERVICE MARKET SEGMENTATION: BY REGION
Figure 21 MACHINE LEARNING AS A SERVICE MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
Figure 22 MACHINE LEARNING AS A SERVICE EVOLUTION FROM 1950 TO 2015
Figure 23 VALUE CHAIN ANALYSIS
Figure 24 MACHINE LEARNING AS A SERVICE: COMPONENT
Figure 25 GLOBAL MACHINE LEARNING AS A SERVICE: SOFTWARE TOOLS AND SERVICES ADOPTION TREND 2016 VS 2021
Figure 26 CLOUD AND WEB-BASED APPLICATION PROGRAMMING INTERFACES SEGMENT IS EXPECTED TO BE THE FASTEST GROWING IN THE MACHINE LEARNING AS A SERVICE MARKET
Figure 27 MANAGED SERVICES SEGMENT IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
Figure 28 NETWORK ANALYSTICS AND AUTOMATED TRAFFIC MANAGEMENT IS EXPECTED TO WITNESS THE HIGHEST ADOPTION IN THE FORECAST PERIOD
Figure 29 SMALL AND MEDIUM ENTERPRISES SEGMENT IS PROJECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
Figure 30 HEALTHCARE VERTICAL IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
Figure 31 NORTH AMERICA IS PROJECTED TO EXHIBIT THE HIGHEST GROWTH RATE IN THE MACHINE LEARNING AS A SERVICE MARKET, 2016 - 2021
Figure 32 NORTH AMERICA AND EUROPE ARE THE MOST ATTRACTIVE MARKETS FOR INVESTMENTS, 2016-2021
Figure 33 NORTH AMERICA EXPECTED TO GROW AT THE HIGHEST CAGR, 2016-2021
Figure 34 NORTH AMERICA MARKET SNAPSHOT
Figure 35 EUROPE MARKET SNAPSHOT
Figure 36 ASIA-PACIFIC MARKET SNAPSHOT
Figure 37 COMPANIES ADOPTED PARTNERSHIPS AND AGREEMENTS AS THE KEY GROWTH STRATEGY FROM 2013–2016
Figure 38 MARKET EVALUATION FRAMEWORK
Figure 39 BATTLE FOR MARKET SHARE: NEW PRODUCT LAUNCHES AND UPGRADATIONS WAS THE KEY GROWTH STRATEGY OF THE MLAAS MARKET
Figure 40 GEOGRAPHIC REVENUE MIX OF TOP PLAYERS
Figure 41 MICROSOFT: COMPANY SNAPSHOT
Figure 42 MICROSOFT: SWOT ANALYSIS
Figure 43 INTERNATIONAL BUSINESS MACHINE CORPORATION: COMPANY SNAPSHOT
Figure 44 INTERNATIONAL BUSINESS MACHINE CORPORATION: SWOT ANALYSIS
Figure 45 AMAZON WEB SERVICES: COMPANY SNAPSHOT
Figure 46 AMAZON WEB SERVICES: SWOT ANALYSIS
Figure 47 GOOGLE, INC.: COMPANY SNAPSHOT
Figure 48 GOOGLE, INC.: SWOT ANALYSIS
Figure 49 BIGML INC.: SWOT ANALYSIS
Figure 50 FICO: COMPANY SNAPSHOT
Figure 51 HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP: COMPANY SNAPSHOT
