Global Machine Learning as a Service (MLaaS) Market Research and Forecast 2017-2022
The Global Machine Learning as a Service (MLaaS) Market is expected to grow at a CAGR of 42% during 2017-2022. Machine Learning is an application of computer science that offers the computers an ability to learn and predict without being explicitly programmed. It is a type of Artificial Intelligence that has originated from the study of computational learning and pattern recognition techniques. Machine learning as a service is a term used for a range of services that provide machine learning tools as part of cloud computing services. Technological advancement, evolution of Internet, innovation and rising demand for machine learning services will continue boost market growth in near future. Machine learning has been highly useful to analyse, extract and interpret large chunks of data and has also simplified the tasks of data scientists. Additionally, this market is has considerable demand for high-value predictions that can make decision making better and smart actions in real time without human intervention. Machine learning has also overcome the lesser extent availability of computing power with such high amount of data. As a result, machine learning has seen its endless use in such computations with highly précised results which are another important factor for the growth of this market.
Data Security concerns and lack of professional skills in the domain are some of the restraints that may affect the market growth. However, due to growing innovations and technological advancements in machine learning algorithms, various effective and significant security mechanisms are expected to boost machine learning technology. Additionally, a large number of new machine learning technologies and the skilled professionals are expected in future due to the rising awareness of machine learning and its services across the globe.
Geographical Insights
North America has been contributing highest in the growth of global machine learning as a service market owing to well established communication network in the region followed by Europe. Most of the machine learning as service market players are based in the U.S. and are contributing significantly in the growth of the market. APAC has been growing with a highest growth rate due to rising investment, favourable government policies and growing awareness. Recently in 2017, Google launched the ‘Google Neural Machine Translation’ for 9 Indian languages which uses machine learning and artificial neural network to increases the fluency as well as accuracy in their Google Translate.
Competitive Insights
The key players in the global video analytics market includes Amazon Web Services, Amplero, AT & T, BigML Inc., Crowdflower, Darktrace, Deep Mind, Ersatz Labs Inc., FICO, H2O.ai, Hewlett Packard Inc., IBM Corporation, LogDNA, Microsoft Corporation, Predictron labs Ltd, Pure Predictive Inc., Sift Science Inc., Tamr Inc., Yottamine Analytics and so on. The key strategies adopted by these players include mergers and acquisition, high quality data assets for training algorithms, product launch, crowd sourcing and expansion. The companies such as ‘The Common Crawll’, ‘Yahoo’ and ‘Cretio’ are examples of the organizations which contain such highly available data sets as it contains peta bytes of free raw data collected over years of web crawling and then offers it to the research community which helps it in training learning algorithms.
Market Segmentation
Global Machine Learning as a Service Market is segmented on the basis of applications, their deployment, end-user Services and industry Verticals. The End-user market is generating noticeable revenue due to their diverse applications in the industries. They are being highly adopted by the various industries including BFSI, Healthcare, IT & Telecommunication, Retail, and Education and so on, due to the adoption of several advanced analytics services. Global Machine Learning as a Service market can be segmented in the following four major categories:
Machine Learning As A Service Market by Applications
Machine Learning As A Service Market by Deployment
Machine Learning As A Service Market by Vertical
Machine Learning As A Service Market by Services
OMR Report covers:
Data Security concerns and lack of professional skills in the domain are some of the restraints that may affect the market growth. However, due to growing innovations and technological advancements in machine learning algorithms, various effective and significant security mechanisms are expected to boost machine learning technology. Additionally, a large number of new machine learning technologies and the skilled professionals are expected in future due to the rising awareness of machine learning and its services across the globe.
Geographical Insights
North America has been contributing highest in the growth of global machine learning as a service market owing to well established communication network in the region followed by Europe. Most of the machine learning as service market players are based in the U.S. and are contributing significantly in the growth of the market. APAC has been growing with a highest growth rate due to rising investment, favourable government policies and growing awareness. Recently in 2017, Google launched the ‘Google Neural Machine Translation’ for 9 Indian languages which uses machine learning and artificial neural network to increases the fluency as well as accuracy in their Google Translate.
Competitive Insights
The key players in the global video analytics market includes Amazon Web Services, Amplero, AT & T, BigML Inc., Crowdflower, Darktrace, Deep Mind, Ersatz Labs Inc., FICO, H2O.ai, Hewlett Packard Inc., IBM Corporation, LogDNA, Microsoft Corporation, Predictron labs Ltd, Pure Predictive Inc., Sift Science Inc., Tamr Inc., Yottamine Analytics and so on. The key strategies adopted by these players include mergers and acquisition, high quality data assets for training algorithms, product launch, crowd sourcing and expansion. The companies such as ‘The Common Crawll’, ‘Yahoo’ and ‘Cretio’ are examples of the organizations which contain such highly available data sets as it contains peta bytes of free raw data collected over years of web crawling and then offers it to the research community which helps it in training learning algorithms.
Market Segmentation
Global Machine Learning as a Service Market is segmented on the basis of applications, their deployment, end-user Services and industry Verticals. The End-user market is generating noticeable revenue due to their diverse applications in the industries. They are being highly adopted by the various industries including BFSI, Healthcare, IT & Telecommunication, Retail, and Education and so on, due to the adoption of several advanced analytics services. Global Machine Learning as a Service market can be segmented in the following four major categories:
Machine Learning As A Service Market by Applications
Machine Learning As A Service Market by Deployment
Machine Learning As A Service Market by Vertical
Machine Learning As A Service Market by Services
OMR Report covers:
- Comprehensive research methodology of Global Machine Learning as a Service Market
- This report also includes detailed and extensive market overview with Analyst insights & key market trends.
- Exhaustive Analysis of macro and micro factors influencing the market guided by key recommendations.
- Analysis of regional regulations and other government policies impacting the Global Machine Learning as a Service Market.
- Insights about market determinants which are stimulating the Global Machine Learning as a Service Market
- Detailed and extensive market segments with regional distribution of forecasted revenues.
- Extensive profiles and recent developments of market players.
REPORT SUMMARY
1.1. RESEARCH METHODS AND TOOLS
1.2. MARKET BREAKDOWN
1.2.1. BY SEGMENTS
1.2.2. BY GEOGRAPHY
1.2.3. BY STAKEHOLDERS
MARKET OVERVIEW AND INSIGHTS
2.1. DEFINITION
2.2. ANALYST INSIGHT & CURRENT MARKET TRENDS
2.2.1. KEY FINDINGS
2.2.2. RECOMMENDATION
2.2.3. CONCLUSION
2.3. REGULATIONS
2.3.1. UNITED STATES
2.3.2. EUROPEAN UNION
2.3.3. CHINA
2.3.4. INDIA
2.3.5. REST OF THE WORLD
2.4. PATENT ANALYSIS
MARKET DETERMINANT
3.1. MOTIVATORS
3.1.1. EVOLUTION OF BIG DATA
3.1.2. INCREASED IN ADOPTION OF CLOUD BASED SERVICES
3.1.3. ADVANCEMENT IN TECHNOLOGIES USING IOT
3.1.4. DEMAND FOR HIGH PREDICTION AND DECISION MAKING CAPABILITIES
3.2. RESTRAINTS
3.2.1. SECURITY CONCERNS
3.2.2. LACK OF SKILLED PROFESSIONALS
3.3. OPPORTUNITIES
3.3.1. TECHNOLOGICAL ADVANCEMENTS
3.3.2. RISING GROWTH OF IOT PLATFORM
3.3.3. GROWING APPLICATIONS IN EMERGING ECONOMIES
MARKET SEGMENTATION
4.1. MACHINE LEARNING AS A SERVICE MARKET BY APPLICATIONS
4.1.1. ADVERTISING AND MARKETING
4.1.2. NATURAL LANGUAGE PROCESSING
4.1.3. AUTOMATED NETWORK MANAGEMENT
4.1.4. USER BEHAVIOUR ANALYTICS
4.1.5. RISK DETECTION AND ANALYSIS
4.1.6. PREDICTIVE MAINTENANCE
4.2. MACHINE LEARNING AS A SERVICE MARKET BY DEPLOYMENT
4.2.1. SOFTWARE TOOLS
4.2.2. CLOUD AND WEB BASED APPLICATION PROGRAMMING INTERFACE
4.3. MACHINE LEARNING AS A SERVICE MARKET BY VERTICAL
4.3.1. EDUCATION
4.3.2. BANKING AND FINANCIAL SERVICES
4.3.3. DEFENCE
4.3.4. HEALTHCARE AND LIFE SCIENCES
4.3.5. GOVERNMENT
4.3.6. RETAIL AND MANUFACTURING
4.3.7. INFORMATION TECHNOLOGY
4.3.8. MEDIA AND ENTERTAINMENT
4.4. MACHINE LEARNING AS A SERVICE MARKET BY SERVICES
4.4.1. PROFESSIONAL SERVICES
4.4.2. MANAGED SERVICES
COMPETITIVE LANDSCAPE
5.1. KEY STRATEGIES
5.2. KEY COMPANY ANALYSIS
REGIONAL ANALYSIS
6.1. NORTH AMERICA
6.1.1. UNITED STATES
6.1.2. CANADA
6.1.3. REST OF NORTH AMERICA
6.2. EUROPE
6.2.1. UNITED KINGDOM
6.2.2. FRANCE
6.2.3. GERMANY
6.2.4. ITALY
6.2.5. SPAIN
6.2.6. REST OF EUROPE
6.3. ASIA PACIFIC
6.3.1. INDIA
6.3.2. CHINA
6.3.3. JAPAN
6.4. REST OF THE WORLD
COMPANY PROFILES
7.1. AMAZON WEB SERVICES
7.1.1. INTRODUCTION
7.1.2. AMAZON WEB SERVICES PRODUCT PORTFOLIO
7.1.3. AMAZON WEB SERVICES RECENT ACTIVITIES
7.2. AMPLERO
7.2.1. INTRODUCTION
7.2.2. AMPLERO PRODUCT PORTFOLIO
7.2.3. AMPLERO RECENT ACTIVITIES
7.3. AT & T LABS
7.3.1. INTRODUCTION
7.3.2. AT & T LABS PRODUCT PORTFOLIO
7.3.3. AT & T LABS RECENT ACTIVITIES
7.4. BIGML INC.
7.4.1. INTRODUCTION
7.4.2. BIGML INC. PRODUCT PORTFOLIO
7.4.3. BIGML INC. RECENT ACTIVITIES
7.5. CROWDFLOWER
7.5.1. INTRODUCTION
7.5.2. CROWDFLOWER PRODUCT PORTFOLIO
7.5.3. CROWDFLOWER RECENT ACTIVITIES
7.6. DARKTRACE
7.6.1. INTRODUCTION
7.6.2. DARKTRACE PRODUCT PORTFOLIO
7.6.3. DARKTRACE BIOSYSTEMS RECENT ACTIVITIES
7.7. DEEP MIND
7.7.1. INTRODUCTION
7.7.2. DEEP MIND PRODUCT PORTFOLIO
7.7.3. DEEP MIND RECENT ACTIVITIES
7.8. ERSATZ LABS INC.
7.8.1. INTRODUCTION
7.8.2. ERSATZ LABS INC. PRODUCT PORTFOLIO
7.8.3. AS ERSATZ LABS INC. RECENT ACTIVITIES
7.9. FICO
7.9.1. INTRODUCTION
7.9.2. FICO PRODUCT PORTFOLIO
7.9.3. FICO RECENT ACTIVITIES
7.10. GOOGLE INC
7.10.1. INTRODUCTION
7.10.2. GOOGLE INC. PRODUCT PORTFOLIO
7.10.3. GOOGLE INC. RECENT ACTIVITIES
7.11. H2O. AI
7.11.1. INTRODUCTION
7.11.2. H2O. AI PRODUCT PORTFOLIO
7.11.3. H2O. AI RECENT ACTIVITIES
7.12. HEWLETT PACKARD INC.
7.12.1. INTRODUCTION
7.12.2. HEWLETT PACKARD INC. PRODUCT PORTFOLIO
7.12.3. HEWLETT PACKARD INC. RECENT ACTIVITIES
7.13. IBM CORPORATION
7.13.1. INTRODUCTION
7.13.2. IBM CORPORATION PRODUCT PORTFOLIO
7.13.3. IBM CORPORATION RECENT ACTIVITIES
7.14. LOGDNA
7.14.1. INTRODUCTION
7.14.2. LOGDNA PRODUCT PORTFOLIO
7.14.3. LOGDNA RECENT ACTIVITIES
7.15. MICROSOFT CORPORATION
7.15.1. INTRODUCTION
7.15.2. MICROSOFT CORPORATION PRODUCT PORTFOLIO
7.15.3. MICROSOFT CORPORATION RECENT ACTIVITIES
7.16. PREDICTRON LABS LTD
7.16.1. INTRODUCTION
7.16.2. PREDICTRON LABS LTD PRODUCT PORTFOLIO
7.16.3. PREDICTRON LABS LTD RECENT ACTIVITIES
7.17. PUREPREDICTIVE INC.
7.17.1. INTRODUCTION
7.17.2. PUREPREDICTIVE INC.PRODUCT PORTFOLIO
7.17.3. PUREPREDICTIVE INC. RECENT ACTIVITIES
7.18. SIFT SCIENCE
7.18.1. INTRODUCTION
7.18.2. SIFT SCIENCE PRODUCT PORTFOLIO
7.18.3. SIFT SCIENCE RECENT ACTIVITIES
7.19. TAMR INC.
7.19.1. INTRODUCTION
7.19.2. TAMR INC. PRODUCT PORTFOLIO
7.19.3. TAMR INC. RECENT ACTIVITIES
7.20. YOTTAMINE ANALYTICS
7.20.1. INTRODUCTION
7.20.2. YOTTAMINE ANALYTICS PRODUCT PORTFOLIO
7.20.3. YOTTAMINE ANALYTICS RECENT ACTIVITIES
1.1. RESEARCH METHODS AND TOOLS
1.2. MARKET BREAKDOWN
1.2.1. BY SEGMENTS
1.2.2. BY GEOGRAPHY
1.2.3. BY STAKEHOLDERS
MARKET OVERVIEW AND INSIGHTS
2.1. DEFINITION
2.2. ANALYST INSIGHT & CURRENT MARKET TRENDS
2.2.1. KEY FINDINGS
2.2.2. RECOMMENDATION
2.2.3. CONCLUSION
2.3. REGULATIONS
2.3.1. UNITED STATES
2.3.2. EUROPEAN UNION
2.3.3. CHINA
2.3.4. INDIA
2.3.5. REST OF THE WORLD
2.4. PATENT ANALYSIS
MARKET DETERMINANT
3.1. MOTIVATORS
3.1.1. EVOLUTION OF BIG DATA
3.1.2. INCREASED IN ADOPTION OF CLOUD BASED SERVICES
3.1.3. ADVANCEMENT IN TECHNOLOGIES USING IOT
3.1.4. DEMAND FOR HIGH PREDICTION AND DECISION MAKING CAPABILITIES
3.2. RESTRAINTS
3.2.1. SECURITY CONCERNS
3.2.2. LACK OF SKILLED PROFESSIONALS
3.3. OPPORTUNITIES
3.3.1. TECHNOLOGICAL ADVANCEMENTS
3.3.2. RISING GROWTH OF IOT PLATFORM
3.3.3. GROWING APPLICATIONS IN EMERGING ECONOMIES
MARKET SEGMENTATION
4.1. MACHINE LEARNING AS A SERVICE MARKET BY APPLICATIONS
4.1.1. ADVERTISING AND MARKETING
4.1.2. NATURAL LANGUAGE PROCESSING
4.1.3. AUTOMATED NETWORK MANAGEMENT
4.1.4. USER BEHAVIOUR ANALYTICS
4.1.5. RISK DETECTION AND ANALYSIS
4.1.6. PREDICTIVE MAINTENANCE
4.2. MACHINE LEARNING AS A SERVICE MARKET BY DEPLOYMENT
4.2.1. SOFTWARE TOOLS
4.2.2. CLOUD AND WEB BASED APPLICATION PROGRAMMING INTERFACE
4.3. MACHINE LEARNING AS A SERVICE MARKET BY VERTICAL
4.3.1. EDUCATION
4.3.2. BANKING AND FINANCIAL SERVICES
4.3.3. DEFENCE
4.3.4. HEALTHCARE AND LIFE SCIENCES
4.3.5. GOVERNMENT
4.3.6. RETAIL AND MANUFACTURING
4.3.7. INFORMATION TECHNOLOGY
4.3.8. MEDIA AND ENTERTAINMENT
4.4. MACHINE LEARNING AS A SERVICE MARKET BY SERVICES
4.4.1. PROFESSIONAL SERVICES
4.4.2. MANAGED SERVICES
COMPETITIVE LANDSCAPE
5.1. KEY STRATEGIES
5.2. KEY COMPANY ANALYSIS
REGIONAL ANALYSIS
6.1. NORTH AMERICA
6.1.1. UNITED STATES
6.1.2. CANADA
6.1.3. REST OF NORTH AMERICA
6.2. EUROPE
6.2.1. UNITED KINGDOM
6.2.2. FRANCE
6.2.3. GERMANY
6.2.4. ITALY
6.2.5. SPAIN
6.2.6. REST OF EUROPE
6.3. ASIA PACIFIC
6.3.1. INDIA
6.3.2. CHINA
6.3.3. JAPAN
6.4. REST OF THE WORLD
COMPANY PROFILES
7.1. AMAZON WEB SERVICES
7.1.1. INTRODUCTION
7.1.2. AMAZON WEB SERVICES PRODUCT PORTFOLIO
7.1.3. AMAZON WEB SERVICES RECENT ACTIVITIES
7.2. AMPLERO
7.2.1. INTRODUCTION
7.2.2. AMPLERO PRODUCT PORTFOLIO
7.2.3. AMPLERO RECENT ACTIVITIES
7.3. AT & T LABS
7.3.1. INTRODUCTION
7.3.2. AT & T LABS PRODUCT PORTFOLIO
7.3.3. AT & T LABS RECENT ACTIVITIES
7.4. BIGML INC.
7.4.1. INTRODUCTION
7.4.2. BIGML INC. PRODUCT PORTFOLIO
7.4.3. BIGML INC. RECENT ACTIVITIES
7.5. CROWDFLOWER
7.5.1. INTRODUCTION
7.5.2. CROWDFLOWER PRODUCT PORTFOLIO
7.5.3. CROWDFLOWER RECENT ACTIVITIES
7.6. DARKTRACE
7.6.1. INTRODUCTION
7.6.2. DARKTRACE PRODUCT PORTFOLIO
7.6.3. DARKTRACE BIOSYSTEMS RECENT ACTIVITIES
7.7. DEEP MIND
7.7.1. INTRODUCTION
7.7.2. DEEP MIND PRODUCT PORTFOLIO
7.7.3. DEEP MIND RECENT ACTIVITIES
7.8. ERSATZ LABS INC.
7.8.1. INTRODUCTION
7.8.2. ERSATZ LABS INC. PRODUCT PORTFOLIO
7.8.3. AS ERSATZ LABS INC. RECENT ACTIVITIES
7.9. FICO
7.9.1. INTRODUCTION
7.9.2. FICO PRODUCT PORTFOLIO
7.9.3. FICO RECENT ACTIVITIES
7.10. GOOGLE INC
7.10.1. INTRODUCTION
7.10.2. GOOGLE INC. PRODUCT PORTFOLIO
7.10.3. GOOGLE INC. RECENT ACTIVITIES
7.11. H2O. AI
7.11.1. INTRODUCTION
7.11.2. H2O. AI PRODUCT PORTFOLIO
7.11.3. H2O. AI RECENT ACTIVITIES
7.12. HEWLETT PACKARD INC.
7.12.1. INTRODUCTION
7.12.2. HEWLETT PACKARD INC. PRODUCT PORTFOLIO
7.12.3. HEWLETT PACKARD INC. RECENT ACTIVITIES
7.13. IBM CORPORATION
7.13.1. INTRODUCTION
7.13.2. IBM CORPORATION PRODUCT PORTFOLIO
7.13.3. IBM CORPORATION RECENT ACTIVITIES
7.14. LOGDNA
7.14.1. INTRODUCTION
7.14.2. LOGDNA PRODUCT PORTFOLIO
7.14.3. LOGDNA RECENT ACTIVITIES
7.15. MICROSOFT CORPORATION
7.15.1. INTRODUCTION
7.15.2. MICROSOFT CORPORATION PRODUCT PORTFOLIO
7.15.3. MICROSOFT CORPORATION RECENT ACTIVITIES
7.16. PREDICTRON LABS LTD
7.16.1. INTRODUCTION
7.16.2. PREDICTRON LABS LTD PRODUCT PORTFOLIO
7.16.3. PREDICTRON LABS LTD RECENT ACTIVITIES
7.17. PUREPREDICTIVE INC.
7.17.1. INTRODUCTION
7.17.2. PUREPREDICTIVE INC.PRODUCT PORTFOLIO
7.17.3. PUREPREDICTIVE INC. RECENT ACTIVITIES
7.18. SIFT SCIENCE
7.18.1. INTRODUCTION
7.18.2. SIFT SCIENCE PRODUCT PORTFOLIO
7.18.3. SIFT SCIENCE RECENT ACTIVITIES
7.19. TAMR INC.
7.19.1. INTRODUCTION
7.19.2. TAMR INC. PRODUCT PORTFOLIO
7.19.3. TAMR INC. RECENT ACTIVITIES
7.20. YOTTAMINE ANALYTICS
7.20.1. INTRODUCTION
7.20.2. YOTTAMINE ANALYTICS PRODUCT PORTFOLIO
7.20.3. YOTTAMINE ANALYTICS RECENT ACTIVITIES
LIST OF TABLES
Table 1 GLOBAL MACHINE LEARNING AS A SERVICE MARKET RESEARCH AND ANALYSIS BY APPLICATIONS, 2015-2022 ($ MILLION)
Table 2 GLOBAL ADVERTISING AND MARKETING MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Table 3 GLOBAL NATURAL LANGUAGE PROCESSING MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Table 4 GLOBAL AUTOMATED NETWORK MANAGEMENT MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Table 5 GLOBAL USER BEHAVIOUR ANALYTICS MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Table 6 GLOBAL RISK DETECTION AND ANALYSIS MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Table 7 GLOBAL PREDICTIVE MAINTENANCE MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Table 8 GLOBAL MACHINE LEARNING AS A SERVICE MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT, 2015-2022 ($ MILLION)
Table 9 GLOBAL SOFTWARE TOOLS MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Table 10 GLOBAL CLOUD AND WEB BASED APPLICATION PROGRAMMING INTERFACE MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Table 11 GLOBAL MACHINE LEARNING AS A SERVICE MARKET RESEARCH AND ANALYSIS BY VERTICAL, 2015-2022 ($ MILLION)
Table 12 GLOBAL EDUCATION MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Table 13 GLOBAL BANKING AND FINANCIAL SERVICES MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Table 14 GLOBAL DEFENCE MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Table 15 GLOBAL HEALTHCARE AND LIFE SCIENCES MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Table 16 GLOBAL GOVERNMENT MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Table 17 GLOBAL RETAIL AND MANUFACTURING MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Table 18 GLOBAL INFORMATION TECHNOLOGY MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Table 19 GLOBAL MEDIA AND ENTERTAINMENT MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Table 20 GLOBAL MACHINE LEARNING AS A SERVICE MARKET RESEARCH AND ANALYSIS BY SERVICES, 2015-2022 ($ MILLION)
Table 21 GLOBAL PROFESSIONAL SERVICES MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Table 22 GLOBAL MANAGED SERVICES MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Table 23 AMAZON WEB SERVICES PRODUCT PORTFOLIO
Table 24 AMAZON WEB SERVICES RECENT ACTIVITIES
Table 25 AMPLERO PRODUCT PORTFOLIO
Table 26 AMPLERO RECENT ACTIVITIES
Table 27 AT & T LABS PRODUCT PORTFOLIO
Table 28 AT & T LABS RECENT ACTIVITIES
Table 29 BIGML INC. PRODUCT PORTFOLIO
Table 30 BIGML INC. RECENT ACTIVITIES
Table 31 CROWDFLOWER PRODUCT PORTFOLIO
Table 32 CROWDFLOWER RECENT ACTIVITIES
Table 33 DARKTRACE PRODUCT PORTFOLIO
Table 34 DARKTRACE BIOSYSTEMS RECENT ACTIVITIES
Table 35 DEEP MIND PRODUCT PORTFOLIO
Table 36 DEEP MIND RECENT ACTIVITIES
Table 37 ERSATZ LABS INC. PRODUCT PORTFOLIO
Table 38 AS ERSATZ LABS INC. RECENT ACTIVITIES
Table 39 FICO PRODUCT PORTFOLIO
Table 40 FICO RECENT ACTIVITIES
Table 41 GOOGLE INC. PRODUCT PORTFOLIO
Table 42 GOOGLE INC. RECENT ACTIVITIES
Table 43 H2O. AI PRODUCT PORTFOLIO
Table 44 H2O. AI RECENT ACTIVITIES
Table 45 HEWLETT PACKARD INC. PRODUCT PORTFOLIO
Table 46 HEWLETT PACKARD INC. RECENT ACTIVITIES
Table 47 IBM CORPORATION PRODUCT PORTFOLIO
Table 48 IBM CORPORATION RECENT ACTIVITIES
Table 49 LOGDNA PRODUCT PORTFOLIO
Table 50 LOGDNA RECENT ACTIVITIES
Table 51 MICROSOFT CORPORATION PRODUCT PORTFOLIO
Table 52 MICROSOFT CORPORATION RECENT ACTIVITIES
Table 53 PREDICTRON LABS LTD PRODUCT PORTFOLIO
Table 54 PREDICTRON LABS LTD RECENT ACTIVITIES
Table 55 PUREPREDICTIVE INC.PRODUCT PORTFOLIO
Table 56 PUREPREDICTIVE INC. RECENT ACTIVITIES
Table 57 SIFT SCIENCE PRODUCT PORTFOLIO
Table 58 SIFT SCIENCE RECENT ACTIVITIES
Table 59 TAMR INC. PRODUCT PORTFOLIO
Table 60 TAMR INC. RECENT ACTIVITIES
Table 61 YOTTAMINE ANALYTICS PRODUCT PORTFOLIO
Table 62 YOTTAMINE ANALYTICS RECENT ACTIVITIES
Table 1 GLOBAL MACHINE LEARNING AS A SERVICE MARKET RESEARCH AND ANALYSIS BY APPLICATIONS, 2015-2022 ($ MILLION)
Table 2 GLOBAL ADVERTISING AND MARKETING MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Table 3 GLOBAL NATURAL LANGUAGE PROCESSING MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Table 4 GLOBAL AUTOMATED NETWORK MANAGEMENT MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Table 5 GLOBAL USER BEHAVIOUR ANALYTICS MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Table 6 GLOBAL RISK DETECTION AND ANALYSIS MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Table 7 GLOBAL PREDICTIVE MAINTENANCE MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Table 8 GLOBAL MACHINE LEARNING AS A SERVICE MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT, 2015-2022 ($ MILLION)
Table 9 GLOBAL SOFTWARE TOOLS MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Table 10 GLOBAL CLOUD AND WEB BASED APPLICATION PROGRAMMING INTERFACE MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Table 11 GLOBAL MACHINE LEARNING AS A SERVICE MARKET RESEARCH AND ANALYSIS BY VERTICAL, 2015-2022 ($ MILLION)
Table 12 GLOBAL EDUCATION MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Table 13 GLOBAL BANKING AND FINANCIAL SERVICES MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Table 14 GLOBAL DEFENCE MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Table 15 GLOBAL HEALTHCARE AND LIFE SCIENCES MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Table 16 GLOBAL GOVERNMENT MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Table 17 GLOBAL RETAIL AND MANUFACTURING MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Table 18 GLOBAL INFORMATION TECHNOLOGY MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Table 19 GLOBAL MEDIA AND ENTERTAINMENT MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Table 20 GLOBAL MACHINE LEARNING AS A SERVICE MARKET RESEARCH AND ANALYSIS BY SERVICES, 2015-2022 ($ MILLION)
Table 21 GLOBAL PROFESSIONAL SERVICES MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Table 22 GLOBAL MANAGED SERVICES MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Table 23 AMAZON WEB SERVICES PRODUCT PORTFOLIO
Table 24 AMAZON WEB SERVICES RECENT ACTIVITIES
Table 25 AMPLERO PRODUCT PORTFOLIO
Table 26 AMPLERO RECENT ACTIVITIES
Table 27 AT & T LABS PRODUCT PORTFOLIO
Table 28 AT & T LABS RECENT ACTIVITIES
Table 29 BIGML INC. PRODUCT PORTFOLIO
Table 30 BIGML INC. RECENT ACTIVITIES
Table 31 CROWDFLOWER PRODUCT PORTFOLIO
Table 32 CROWDFLOWER RECENT ACTIVITIES
Table 33 DARKTRACE PRODUCT PORTFOLIO
Table 34 DARKTRACE BIOSYSTEMS RECENT ACTIVITIES
Table 35 DEEP MIND PRODUCT PORTFOLIO
Table 36 DEEP MIND RECENT ACTIVITIES
Table 37 ERSATZ LABS INC. PRODUCT PORTFOLIO
Table 38 AS ERSATZ LABS INC. RECENT ACTIVITIES
Table 39 FICO PRODUCT PORTFOLIO
Table 40 FICO RECENT ACTIVITIES
Table 41 GOOGLE INC. PRODUCT PORTFOLIO
Table 42 GOOGLE INC. RECENT ACTIVITIES
Table 43 H2O. AI PRODUCT PORTFOLIO
Table 44 H2O. AI RECENT ACTIVITIES
Table 45 HEWLETT PACKARD INC. PRODUCT PORTFOLIO
Table 46 HEWLETT PACKARD INC. RECENT ACTIVITIES
Table 47 IBM CORPORATION PRODUCT PORTFOLIO
Table 48 IBM CORPORATION RECENT ACTIVITIES
Table 49 LOGDNA PRODUCT PORTFOLIO
Table 50 LOGDNA RECENT ACTIVITIES
Table 51 MICROSOFT CORPORATION PRODUCT PORTFOLIO
Table 52 MICROSOFT CORPORATION RECENT ACTIVITIES
Table 53 PREDICTRON LABS LTD PRODUCT PORTFOLIO
Table 54 PREDICTRON LABS LTD RECENT ACTIVITIES
Table 55 PUREPREDICTIVE INC.PRODUCT PORTFOLIO
Table 56 PUREPREDICTIVE INC. RECENT ACTIVITIES
Table 57 SIFT SCIENCE PRODUCT PORTFOLIO
Table 58 SIFT SCIENCE RECENT ACTIVITIES
Table 59 TAMR INC. PRODUCT PORTFOLIO
Table 60 TAMR INC. RECENT ACTIVITIES
Table 61 YOTTAMINE ANALYTICS PRODUCT PORTFOLIO
Table 62 YOTTAMINE ANALYTICS RECENT ACTIVITIES
LIST OF FIGURES
Figure 1 NORTH AMERICA MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Figure 2 US MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Figure 3 CANADA MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Figure 4 EUROPEAN MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Figure 5 UK MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Figure 6 FRANCE MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Figure 7 GERMANY MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Figure 8 ITALY MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Figure 9 SPAIN MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Figure 10 ROE MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Figure 11 ASIA PACIFIC MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Figure 12 INDIA MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Figure 13 CHINA MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Figure 14 JAPAN MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Figure 15 ROPAC MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Figure 16 REST OF THE WORLD MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Figure 1 NORTH AMERICA MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Figure 2 US MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Figure 3 CANADA MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Figure 4 EUROPEAN MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Figure 5 UK MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Figure 6 FRANCE MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Figure 7 GERMANY MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Figure 8 ITALY MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Figure 9 SPAIN MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Figure 10 ROE MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Figure 11 ASIA PACIFIC MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Figure 12 INDIA MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Figure 13 CHINA MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Figure 14 JAPAN MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Figure 15 ROPAC MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
Figure 16 REST OF THE WORLD MARKET RESEARCH AND ANALYSIS, 2015-2022 ($ MILLION)
