+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)

PRINTER FRIENDLY

Automated Machine Learning Market Research Report: By Offering, Deployment Type, Enterprise Size, Application, Industry - Industry Size, Share, Development and Demand Forecast to 2030

  • ID: 5010695
  • Report
  • February 2020
  • Region: Global
  • Prescient & Strategic Intelligence Private Limited
1 of 4

FEATURED COMPANIES

  • Amazon Web Services Inc.
  • Big Squid Inc.
  • DataRobot Inc.
  • Determined AI
  • dotData Inc.
  • EdgeVerve Systems Limited
  • MORE
The global automated machine learning (AutoML) market generated the revenue of $269.6 million in 2019, and is expected to reach $14,511.9 million by 2030, advancing at a CAGR of 43.7% during the forecast period (2020-2030). The cloud category under the deployment type segment is expected to record the fastest growth during the forecast period. This can be ascribed to the enhanced scalability and flexibility offered by cloud-based platform, where clients can customize solutions and services as per their requirements.

With the increasing popularity of online shopping, demand for personalized content is increasing, owing to customers preference for products to meet their specific demand. Personalized product recommendations help companies to increase average order value. Thus, to meet the evolving needs of customers for updated products, companies are investing heavily in new technologies to offer best product recommendations. AutoML solutions find patterns in customer behavior from clickstream data, prior purchases, demographics, browsing history, and previous product searches, and create 1:1 personalized product recommendation list that matches consumer needs and preferences.

The rising importance of effective product assortment in retail store network is expected to generate immense opportunities in the automated machine learning market. Choosing the right mix of products in a retail store is very important for retailers in order to meet the needs of customers and retain customer base. AutoML solutions can be ideal for retailers for effective product assortment. The solution can look at various factors, such as location, customer segments, weather patterns, store display space, and past sales records, to find out which products would be the best fit for a given store location.

Together, North America and Europe are expected to hold over 65% share cumulatively in the automated machine learning market in 2030. All the major investments are being recorded in the U.S., Canada, Germany, U.K., and France. Further, technological advancement, developed IT infrastructure, and increasing adoption of emerging technologies are some of the key factors driving the growth of the market in the regions.

APAC is expected to register fastest growth in the market during the forecast period. This can be attributed to the rising economic growth, increasing investment in IT infrastructure, significant adoption of emerging technologies, and increasing government initiatives toward the development of artificial intelligence (AI) technology.
Note: Product cover images may vary from those shown
2 of 4

FEATURED COMPANIES

  • Amazon Web Services Inc.
  • Big Squid Inc.
  • DataRobot Inc.
  • Determined AI
  • dotData Inc.
  • EdgeVerve Systems Limited
  • MORE
Chapter 1. Research Background
1.1 Research Objectives
1.2 Market Definition
1.3 Research Scope
1.3.1 Market Segmentation by Offering
1.3.2 Market Segmentation by Deployment Type
1.3.3 Market Segmentation by Enterprise Size
1.3.4 Market Segmentation by Application
1.3.5 Market Segmentation by Industry
1.3.6 Market Segmentation by Region
1.3.7 Analysis Period
1.3.8 Market Data Reporting Unit
1.3.8.1 Value
1.4 Key Stakeholders

Chapter 2. Research Methodology
2.1 Secondary Research
2.2 Primary Research
2.2.1 Breakdown of Primary Research Respondents
2.2.1.1 By region
2.2.1.2 By industry participant
2.2.1.3 By company type
2.3 Market Size Estimation
2.4 Data Triangulation
2.5 Assumptions for the Study

Chapter 3. Executive Summary

Chapter 4. Introduction
4.1 Definition of Market Segments
4.1.1 By Offering
4.1.1.1 Platform
4.1.1.2 Service
4.1.1.2.1 Professional
4.1.1.2.2 Managed
4.1.2 By Deployment Type
4.1.2.1 On-premises
4.1.2.2 Cloud
4.1.3 By Enterprise Size
4.1.3.1 Large enterprise
4.1.3.2 SME
4.1.4 By Application
4.1.4.1 Fraud detection
4.1.4.2 Sales & marketing management
4.1.4.3 Medical testing
4.1.4.4 Transport optimization
4.1.4.5 Others
4.1.5 By Industry
4.1.5.1 BFSI
4.1.5.2 IT & telecom
4.1.5.3 Healthcare
4.1.5.4 Government
4.1.5.5 Retail
4.1.5.6 Manufacturing
4.1.5.7 Others
4.2 Value Chain Analysis
4.3 Market Dynamics
4.3.1 Trends
4.3.1.1 Increasing preference for cloud-based AutoML platform
4.3.2 Drivers
4.3.2.1 Increasing demand for efficient fraud detection solution
4.3.2.2 Growing need for personalized product recommendation
4.3.2.3 Rising importance of predictive lead scoring
4.3.2.4 Impact analysis of drivers on market forecast
4.3.3 Restraints
4.3.3.1 Slow adoption in developing countries
4.3.3.2 Impact analysis of restraints on market forecast
4.3.4 Opportunities
4.3.4.1 Growing healthcare industry
4.3.4.2 Rising importance of effective product assortment
4.4 Porter’s Five Forces Analysis
4.4.1 Bargaining Power of Buyers
4.4.2 Bargaining Power of Suppliers
4.4.3 Threat of New Entrants
4.4.4 Intensity of Rivalry
4.4.5 Threat of Substitutes

Chapter 5. Global Market Size and Forecast
5.1 By Offering
5.1.1 By Service
5.2 By Deployment Type
5.3 By Enterprise Size
5.4 By Application
5.5 By Industry
5.6 By Region

Chapter 6. North America Market Size and Forecast
6.1 By Offering
6.1.1 By Service
6.2 By Deployment Type
6.3 By Enterprise Size
6.4 By Application
6.5 By Industry
6.6 By Country

Chapter 7. Europe Market Size and Forecast
7.1 By Offering
7.1.1 By Service
7.2 By Deployment Type
7.3 By Enterprise Size
7.4 By Application
7.5 By Industry
7.6 By Country

Chapter 8. APAC Market Size and Forecast
8.1 By Offering
8.1.1 By Service
8.2 By Deployment Type
8.3 By Enterprise Size
8.4 By Application
8.5 By Industry
8.6 By Country

Chapter 9. MEA Market Size and Forecast
9.1 By Offering
9.1.1 By Service
9.2 By Deployment Type
9.3 By Enterprise Size
9.4 By Application
9.5 By Industry
9.6 By Country

Chapter 10. LATAM Market Size and Forecast
10.1 By Offering
10.1.1 By Service
10.2 By Deployment Type
10.3 By Enterprise Size
10.4 By Application
10.5 By Industry
10.6 By Country

Chapter 11. Competitive Landscape
11.1 List of Key Players
11.2 Competitive Analysis of Key Players
11.3 Recent Activities of Major Players
11.4 Strategic Developments of Key Players
11.4.1 Mergers and Acquisitions
11.4.2 Partnerships
11.4.3 Product Launches

Chapter 12. Company Profiles
12.1 DataRobot Inc.
12.1.1 Business Overview
12.1.2 Product and Service Offerings
12.2 H2O.ai Inc.
12.2.1 Business Overview
12.2.2 Product and Service Offerings
12.3 dotData Inc.
12.3.1 Business Overview
12.3.2 Product and Service Offerings
12.4 EdgeVerve Systems Limited
12.4.1 Business Overview
12.4.2 Product and Service Offerings
12.5 Amazon Web Services Inc.
12.5.1 Business Overview
12.5.2 Product and Service Offerings
12.6 Squark
12.6.1 Business Overview
12.6.2 Product and Service Offerings
12.7 Big Squid Inc.
12.7.1 Business Overview
12.7.2 Product and Service Offerings
12.8 SAS Institute Inc.
12.8.1 Business Overview
12.8.2 Product and Service Offerings
12.9 Microsoft Corporation
12.9.1 Business Overview
12.9.2 Product and Service offerings
12.9.3 Key Financial Summary
12.10 Determined AI
12.10.1 Business Overview
12.10.2 Product and Service Offerings

Chapter 13. Appendix
13.1 Abbreviations
13.2 Sources and References
13.3 Related Reports

List of Tables
TABLE 1 ANALYSIS PERIOD OF THE STUDY
TABLE 2 DRIVERS FOR THE MARKET: IMPACT ANALYSIS
TABLE 3 RESTRAINTS FOR THE MARKET: IMPACT ANALYSIS
TABLE 4 GLOBAL AUTOML MARKET, BY OFFERING, $M (2014-2019)
TABLE 5 GLOBAL AUTOML MARKET, BY OFFERING, $M (2020-2030)
TABLE 6 GLOBAL AUTOML SERVICE MARKET, BY TYPE, $M (2014-2019)
TABLE 7 GLOBAL AUTOML SERVICE MARKET, BY TYPE, $M (2020-2030)
TABLE 8 GLOBAL AUTOML MARKET, BY DEPLOYMENT TYPE, $M (2014-2019)
TABLE 9 GLOBAL AUTOML MARKET, BY DEPLOYMENT TYPE, $M (2020-2030)
TABLE 10 GLOBAL AUTOML MARKET, BY ENTERPRISE SIZE, $M (2014-2019)
TABLE 11 GLOBAL AUTOML MARKET, BY ENTERPRISE SIZE, $M (2020-2030)
TABLE 12 GLOBAL AUTOML MARKET, BY APPLICATION, $M (2014-2019)
TABLE 13 GLOBAL AUTOML MARKET, BY APPLICATION, $M (2020-2030)
TABLE 14 GLOBAL AUTOML MARKET, BY INDUSTRY, $M (2014-2019)
TABLE 15 GLOBAL AUTOML MARKET, BY INDUSTRY, $M (2020-2030)
TABLE 16 GLOBAL AUTOML MARKET, BY REGION, $M (2014-2019)
TABLE 17 GLOBAL AUTOML MARKET, BY REGION, $M (2020-2030)
TABLE 18 NORTH AMERICA AUTOML MARKET, BY OFFERING, $M (2014-2019)
TABLE 19 NORTH AMERICA AUTOML MARKET, BY OFFERING, $M (2020-2030)
TABLE 20 NORTH AMERICA AUTOML SERVICE MARKET, BY TYPE, $M (2014-2019)
TABLE 21 NORTH AMERICA AUTOML SERVICE MARKET, BY TYPE, $M (2020-2030)
TABLE 22 NORTH AMERICA AUTOML MARKET, BY DEPLOYMENT TYPE, $M (2014-2019)
TABLE 23 NORTH AMERICA AUTOML MARKET, BY DEPLOYMENT TYPE, $M (2020-2030)
TABLE 24 NORTH AMERICA AUTOML MARKET, BY ENTERPRISE SIZE, $M (2014-2019)
TABLE 25 NORTH AMERICA AUTOML MARKET, BY ENTERPRISE SIZE, $M (2020-2030)
TABLE 26 NORTH AMERICA AUTOML MARKET, BY APPLICATION, $M (2014-2019)
TABLE 27 NORTH AMERICA AUTOML MARKET, BY APPLICATION, $M (2020-2030)
TABLE 28 NORTH AMERICA AUTOML MARKET, BY INDUSTRY, $M (2014-2019)
TABLE 29 NORTH AMERICA AUTOML MARKET, BY INDUSTRY, $M (2020-2030)
TABLE 30 NORTH AMERICA AUTOML MARKET, BY COUNTRY, $M (2014-2019)
TABLE 31 NORTH AMERICA AUTOML MARKET, BY COUNTRY, $M (2020-2030)
TABLE 32 EUROPE AUTOML MARKET, BY OFFERING, $M (2014-2019)
TABLE 33 EUROPE AUTOML MARKET, BY OFFERING, $M (2020-2030)
TABLE 34 EUROPE AUTOML SERVICE MARKET, BY TYPE, $M (2014-2019)
TABLE 35 EUROPE AUTOML SERVICE MARKET, BY TYPE, $M (2020-2030)
TABLE 36 EUROPE AUTOML MARKET, BY DEPLOYMENT TYPE, $M (2014-2019)
TABLE 37 EUROPE AUTOML MARKET, BY DEPLOYMENT TYPE, $M (2020-2030)
TABLE 38 EUROPE AUTOML MARKET, BY ENTERPRISE SIZE, $M (2014-2019)
TABLE 39 EUROPE AUTOML MARKET, BY ENTERPRISE SIZE, $M (2020-2030)
TABLE 40 EUROPE AUTOML MARKET, BY APPLICATION, $M (2014-2019)
TABLE 41 EUROPE AUTOML MARKET, BY APPLICATION, $M (2020-2030)
TABLE 42 EUROPE AUTOML MARKET, BY INDUSTRY, $M (2014-2019)
TABLE 43 EUROPE AUTOML MARKET, BY INDUSTRY, $M (2020-2030)
TABLE 44 EUROPE AUTOML MARKET, BY COUNTRY, $M (2014-2019)
TABLE 45 EUROPE AUTOML MARKET, BY COUNTRY, $M (2020-2030)
TABLE 46 APAC AUTOML MARKET, BY OFFERING, $M (2014-2019)
TABLE 47 APAC AUTOML MARKET, BY OFFERING, $M (2020-2030)
TABLE 48 APAC AUTOML SERVICE MARKET, BY TYPE, $M (2014-2019)
TABLE 49 APAC AUTOML SERVICE MARKET, BY TYPE, $M (2020-2030)
TABLE 50 APAC AUTOML MARKET, BY DEPLOYMENT TYPE, $M (2014-2019)
TABLE 51 APAC AUTOML MARKET, BY DEPLOYMENT TYPE, $M (2020-2030)
TABLE 52 APAC AUTOML MARKET, BY ENTERPRISE SIZE, $M (2014-2019)
TABLE 53 APAC AUTOML MARKET, BY ENTERPRISE SIZE, $M (2020-2030)
TABLE 54 APAC AUTOML MARKET, BY APPLICATION, $M (2014-2019)
TABLE 55 APAC AUTOML MARKET, BY APPLICATION, $M (2020-2030)
TABLE 56 APAC AUTOML MARKET, BY INDUSTRY, $M (2014-2019)
TABLE 57 APAC AUTOML MARKET, BY INDUSTRY, $M (2020-2030)
TABLE 58 APAC AUTOML MARKET, BY COUNTRY, $M (2014-2019)
TABLE 59 APAC AUTOML MARKET, BY COUNTRY, $M (2020-2030)
TABLE 60 MEA AUTOML MARKET, BY OFFERING, $M (2014-2019)
TABLE 61 MEA AUTOML MARKET, BY OFFERING, $M (2020-2030)
TABLE 62 MEA AUTOML SERVICE MARKET, BY TYPE, $M (2014-2019)
TABLE 63 MEA AUTOML SERVICE MARKET, BY TYPE, $M (2020-2030)
TABLE 64 MEA AUTOML MARKET, BY DEPLOYMENT TYPE, $M (2014-2019)
TABLE 65 MEA AUTOML MARKET, BY DEPLOYMENT TYPE, $M (2020-2030)
TABLE 66 MEA AUTOML MARKET, BY ENTERPRISE SIZE, $M (2014-2019)
TABLE 67 MEA AUTOML MARKET, BY ENTERPRISE SIZE, $M (2020-2030)
TABLE 68 MEA AUTOML MARKET, BY APPLICATION, $M (2014-2019)
TABLE 69 MEA AUTOML MARKET, BY APPLICATION, $M (2020-2030)
TABLE 70 MEA AUTOML MARKET, BY INDUSTRY, $M (2014-2019)
TABLE 71 MEA AUTOML MARKET, BY INDUSTRY, $M (2020-2030)
TABLE 72 MEA AUTOML MARKET, BY COUNTRY, $M (2014-2019)
TABLE 73 MEA AUTOML MARKET, BY COUNTRY, $M (2020-2030)
TABLE 74 LATAM AUTOML MARKET, BY OFFERING, $M (2014-2019)
TABLE 75 LATAM AUTOML MARKET, BY OFFERING, $M (2020-2030)
TABLE 76 LATAM AUTOML SERVICE MARKET, BY TYPE, $M (2014-2019)
TABLE 77 LATAM AUTOML SERVICE MARKET, BY TYPE, $M (2020-2030)
TABLE 78 LATAM AUTOML MARKET, BY DEPLOYMENT TYPE, $M (2014-2019)
TABLE 79 LATAM AUTOML MARKET, BY DEPLOYMENT TYPE, $M (2020-2030)
TABLE 80 LATAM AUTOML MARKET, BY ENTERPRISE SIZE, $M (2014-2019)
TABLE 81 LATAM AUTOML MARKET, BY ENTERPRISE SIZE, $M (2020-2030)
TABLE 82 LATAM AUTOML MARKET, BY APPLICATION, $M (2014-2019)
TABLE 83 LATAM AUTOML MARKET, BY APPLICATION, $M (2020-2030)
TABLE 84 LATAM AUTOML MARKET, BY INDUSTRY, $M (2014-2019)
TABLE 85 LATAM AUTOML MARKET, BY INDUSTRY, $M (2020-2030)
TABLE 86 LATAM AUTOML MARKET, BY COUNTRY, $M (2014-2019)
TABLE 87 LATAM AUTOML MARKET, BY COUNTRY, $M (2020-2030)
TABLE 88 LIST OF KEY PLAYERS AND THEIR OFFERINGS
TABLE 89 DATAROBOT INC. - AT A GLANCE
TABLE 90 H2O.AI INC. - AT A GLANCE
TABLE 91 DOTDATA INC. - AT A GLANCE
TABLE 92 EDGEVERVE SYSTEMS LIMITED - AT A GLANCE
TABLE 93 AMAZON WEB SERVICES INC. - AT A GLANCE
TABLE 94 SQUARK - AT A GLANCE
TABLE 95 BIG SQUID INC. - AT A GLANCE
TABLE 96 SAS INSTITUTE INC. - AT A GLANCE
TABLE 97 MICROSOFT CORPORATION - AT A GLANCE
TABLE 98 MICROSOFT CORPORATION - KEY FINANCIAL SUMMARY
TABLE 99 DETERMINED AI - AT A GLANCE

List of Figures
FIG 1 RESEARCH SCOPE
FIG 2 RESEARCH METHODOLOGY
FIG 3 REGIONAL SPLIT OF PRIMARY AND SECONDARY RESEARCH
FIG 4 BREAKDOWN OF PRIMARY RESEARCH BY REGION
FIG 5 BREAKDOWN OF PRIMARY RESEARCH BY INDUSTRY PARTICIPANT
FIG 6 BREAKDOWN OF PRIMARY RESEARCH BY COMPANY TYPE
FIG 7 DATA TRIANGULATION APPROACH
FIG 8 GLOBAL AUTOML MARKET SUMMARY
FIG 9 VALUE CHAIN ANALYSIS
FIG 10 BARGAINING POWER OF BUYERS
FIG 11 BARGAINING POWER OF SUPPLIERS
FIG 12 THREAT OF NEW ENTRANTS
FIG 13 INTENSITY OF RIVALRY
FIG 14 THREAT OF SUBSTITUTES
FIG 15 GLOBAL AUTOML MARKET, BY OFFERING, $M (2014-2030)
FIG 16 GLOBAL AUTOML SERVICE MARKET, BY TYPE, $M (2014-2030)
FIG 17 GLOBAL AUTOML MARKET, BY DEPLOYMENT TYPE, $M (2014-2030)
FIG 18 GLOBAL AUTOML MARKET, BY ENTERPRISE SIZE, $M (2014-2030)
FIG 19 GLOBAL AUTOML MARKET, BY APPLICATION, $M (2014-2030)
FIG 20 GLOBAL AUTOML MARKET, BY INDUSTRY, $M (2014-2030)
FIG 21 WORLDWIDE MAJOR MARKETS FOR AUTOML
FIG 22 GLOBAL AUTOML MARKET, BY REGION, $M (2014-2030)
FIG 23 NORTH AMERICA AUTOML MARKET SNAPSHOT
FIG 24 NORTH AMERICA AUTOML MARKET, BY OFFERING, $M (2014-2030)
FIG 25 NORTH AMERICA AUTOML SERVICE MARKET, BY TYPE, $M (2014-2030)
FIG 26 NORTH AMERICA AUTOML MARKET, BY DEPLOYMENT TYPE, $M (2014-2030)
FIG 27 NORTH AMERICA AUTOML MARKET, BY ENTERPRISE SIZE, $M (2014-2030)
FIG 28 NORTH AMERICA AUTOML MARKET, BY APPLICATION, $M (2014-2030)
FIG 29 NORTH AMERICA AUTOML MARKET, BY INDUSTRY, $M (2014-2030)
FIG 30 NORTH AMERICA AUTOML MARKET, BY COUNTRY, $M (2014-2030)
FIG 31 EUROPE AUTOML MARKET SNAPSHOT
FIG 32 EUROPE AUTOML MARKET, BY OFFERING, $M (2014-2030)
FIG 33 EUROPE AUTOML SERVICE MARKET, BY TYPE, $M (2014-2030)
FIG 34 EUROPE AUTOML MARKET, BY DEPLOYMENT TYPE, $M (2014-2030)
FIG 35 EUROPE AUTOML MARKET, BY ENTERPRISE SIZE, $M (2014-2030)
FIG 36 EUROPE AUTOML MARKET, BY APPLICATION, $M (2014-2030)
FIG 37 EUROPE AUTOML MARKET, BY INDUSTRY, $M (2014-2030)
FIG 38 EUROPE AUTOML MARKET, BY COUNTRY, $M (2014-2030)
FIG 39 APAC AUTOML MARKET SNAPSHOT
FIG 40 APAC AUTOML MARKET, BY OFFERING, $M (2014-2030)
FIG 41 APAC AUTOML SERVICE MARKET, BY TYPE, $M (2014-2030)
FIG 42 APAC AUTOML MARKET, BY DEPLOYMENT TYPE, $M (2014-2030)
FIG 43 APAC AUTOML MARKET, BY ENTERPRISE SIZE, $M (2014-2030)
FIG 44 APAC AUTOML MARKET, BY APPLICATION, $M (2014-2030)
FIG 45 APAC AUTOML MARKET, BY INDUSTRY, $M (2014-2030)
FIG 46 APAC AUTOML MARKET, BY COUNTRY, $M (2014-2030)
FIG 47 MEA AUTOML MARKET SNAPSHOT
FIG 48 MEA AUTOML MARKET, BY OFFERING, $M (2014-2030)
FIG 49 MEA AUTOML SERVICE MARKET, BY TYPE, $M (2014-2030)
FIG 50 MEA AUTOML MARKET, BY DEPLOYMENT TYPE, $M (2014-2030)
FIG 51 MEA AUTOML MARKET, BY ENTERPRISE SIZE, $M (2014-2030)
FIG 52 MEA AUTOML MARKET, BY APPLICATION, $M (2014-2030)
FIG 53 MEA AUTOML MARKET, BY INDUSTRY, $M (2014-2030)
FIG 54 MEA AUTOML MARKET, BY COUNTRY, $M (2014-2030)
FIG 55 LATAM AUTOML MARKET SNAPSHOT
FIG 56 LATAM AUTOML MARKET, BY OFFERING, $M (2014-2030)
FIG 57 LATAM AUTOML SERVICE MARKET, BY TYPE, $M (2014-2030)
FIG 58 LATAM AUTOML MARKET, BY DEPLOYMENT TYPE, $M (2014-2030)
FIG 59 LATAM AUTOML MARKET, BY ENTERPRISE SIZE, $M (2014-2030)
FIG 60 LATAM AUTOML MARKET, BY APPLICATION, $M (2014-2030)
FIG 61 LATAM AUTOML MARKET, BY INDUSTRY, $M (2014-2030)
FIG 62 LATAM AUTOML MARKET, BY COUNTRY, $M (2014-2030)
FIG 63 GLOBAL AUTOML MARKET PLAYERS’ RANKING (2019)
FIG 64 RECENT ACTIVITIES OF MAJOR PLAYERS
FIG 65 REVENUE SPLIT BY GEOGRAPHY (2018)
FIG 66 MICROSOFT CORPORATION - REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2019)
Note: Product cover images may vary from those shown
3 of 4
  • DataRobot Inc.
  • H2O.ai Inc.
  • dotData Inc.
  • EdgeVerve Systems Limited
  • Amazon Web Services Inc.
  • Squark
  • Big Squid Inc.
  • SAS Institute Inc.
  • Microsoft Corporation
  • Determined AI
Note: Product cover images may vary from those shown
4 of 4

Loading
LOADING...

Adroll
adroll