Product Code: 20906
KEY FINDINGS
The global machine learning market is predicted to generate a value of $XX million by the end of 2027 while growing at a CAGR of 32.21% during the forecast period 2019-2027. The growth of the global market is driven by factors like increased data generation, high adoption of data-driven applications, along with advancements in machine learning.
MARKET INSIGHTS
The segmentation of the global machine learning market is done on the basis of deployment, organization size, industry verticals, and services. The deployment segment is classified into the cloud or on-premise. The organization size considered in the analysis varies from large enterprises, small enterprises to medium-sized enterprises. The market verticals are classified into banking, financial services & insurance (BFSI), healthcare & life sciences, retail, telecommunication, government & defense, manufacturing, energy & utilities, among others. The market provides professional as well as managed services.
REGIONAL INSIGHTS
Geographically, the global machine learning market is segmented into regions such as Asia-Pacific, Europe, North America, and Rest of the world region that includes remaining countries. North America region is one of the leading contributors to the global market. The machine learning market growth in the region attributes to the high adoption of machine learning solutions by both public and private sectors, advanced technological infrastructure, together with supportive government policies that promote artificial intelligence.
COMPETITIVE INSIGHTS
The global machine learning market has the presence of numerous companies offering machine learning solutions. Some of the leading players in the market are Fractal Analytics, Microsoft Corporation, IBM Corporation, Google Inc., Dell Inc., Hewlett Packard Enterprise (HPE), Amazon Web Services Inc., Intel Corporation, Fair Isaac Corporation (FICO), and Baidu Inc.
Table of contents
1. RESEARCH SCOPE
- 1.1. STUDY GOALS
- 1.2. SCOPE OF THE MARKET STUDY
- 1.3. WHO WILL FIND THIS REPORT USEFUL?
- 1.4. STUDY AND FORECASTING YEARS
2. RESEARCH METHODOLOGY
- 2.1. SOURCES OF DATA
- 2.1.1. SECONDARY DATA
- 2.1.2. PRIMARY DATA
- 2.2. TOP-DOWN APPROACH
- 2.3. BOTTOM-UP APPROACH
- 2.4. DATA TRIANGULATION
3. EXECUTIVE SUMMARY
- 3.1. MARKET SUMMARY
- 3.2. KEY FINDINGS
- 3.2.1. NORTH AMERICA DOMINATES THE OVERALL MARKET
- 3.2.2. CHINA & INDIA LED ASIA PACIFIC TO BE THE FASTEST-GROWING MARKET
- 3.2.3. CLOUD IS THE MOST PREFERRED DEPLOYMENT MODE
- 3.2.4. SMALL & MEDIUM-SIZED ENTERPRISES (SMEs) IS PROJECTED TO GROW AT FASTEST CAGR
- 3.2.5. GROWING NUMBER OF START-UPS IN MACHINE LEARNING
4. MARKET DYNAMICS
- 4.1. TIMELINE OF MACHINE LEARNING
- 4.2. PARENT MARKET ANALYSIS: ARTIFICIAL INTELLIGENCE
- 4.3. MARKET SCOPE & DEFINITION
- 4.4. MARKET DRIVERS
- 4.4.1. PROLIFERATION IN DATA GENERATION
- 4.4.2. RISING ROBOTIZATION ACROSS NUMEROUS VERTICALS
- 4.4.3. CONTINUAL ADVANCEMENTS IN MACHINE LEARNING
- 4.4.4. GROWING ACCEPTANCE OF CONNECTED DEVICES
- 4.4.5. UPSURGE IN ADOPTION OF DATA-DRIVEN APPLICATIONS
- 4.5. MARKET RESTRAINTS
- 4.5.1. COMPLEXITIES IN MANAGING SENSITIVE DATA
- 4.5.2. TECHNOLOGICAL LIMITATIONS
- 4.6. MARKET OPPORTUNITIES
- 4.6.1. GROWING INTEREST IN INTELLIGENT BUSINESS PROCESSES
- 4.6.2. INTEGRATION OF BIG DATA WITH ARTIFICIAL INTELLIGENCE & MACHINE LEARNING
- 4.6.3. HIGH DEMAND FROM NUMEROUS END USER INDUSTRIES
- 4.7. MARKET CHALLENGES
- 4.7.1. ETHICAL IMPLICATIONS OF ALGORITHMS DEPLOYED
- 4.7.2. SUSCEPTIBLE TO HARDWARE & SOFTWARE MALFUNCTIONS
5. MARKET BY DEPLOYMENT
- 5.1. CLOUD
- 5.2. ON-PREMISE
6. MARKET BY SERVICES
- 6.1. PROFESSIONAL SERVICES
- 6.2. MANAGED SERVICES
7. MARKET BY ORGANIZATION SIZE
- 7.1. LARGE ENTERPRISES
- 7.2. SMALL & MEDIUM-SIZED ENTERPRISES (SMEs)
8. MARKET BY INDUSTRY VERTICALS
- 8.1. BANKING, FINANCIAL SERVICES & INSURANCE (BFSI)
- 8.2. HEALTHCARE & LIFE SCIENCES
- 8.3. RETAIL
- 8.4. TELECOMMUNICATION
- 8.5. GOVERNMENT & DEFENSE
- 8.6. MANUFACTURING
- 8.7. ENERGY & UTILITIES
- 8.8. MEDIA & ADVERTISING
- 8.9. OTHER VERTICALS
9. KEY ANALYTICS
- 9.1. PORTER'S FIVE FORCE MODEL
- 9.1.1. THREAT OF NEW ENTRANTS
- 9.1.2. THREAT OF SUBSTITUTE
- 9.1.3. BARGAINING POWER OF SUPPLIERS
- 9.1.4. BARGAINING POWER OF BUYERS
- 9.1.5. THREAT OF COMPETITIVE RIVALRY
- 9.2. KEY BUYING CRITERIA
- 9.2.1. PRICE
- 9.2.2. SCALABILITY
- 9.2.3. TRAINING TIME
- 9.2.4. APPLICATION
- 9.3. VALUE CHAIN ANALYSIS
- 9.3.1. SOFTWARE DEVELOPMENT
- 9.3.2. CLOUD
- 9.3.3. USERS
- 9.4. PATENT ANALYSIS
- 9.5. OPPORTUNITY MATRIX
- 9.6. VENDOR LANDSCAPE
10. GEOGRAPHICAL ANALYSIS
- 10.1. NORTH AMERICA
- 10.1.1. UNITED STATES
- 10.1.2. CANADA
- 10.2. EUROPE
- 10.2.1. UNITED KINGDOM
- 10.2.2. GERMANY
- 10.2.3. FRANCE
- 10.2.4. SPAIN
- 10.2.5. ITALY
- 10.2.6. RUSSIA
- 10.2.7. REST OF EUROPE
- 10.3. ASIA PACIFIC
- 10.3.1. CHINA
- 10.3.2. JAPAN
- 10.3.3. INDIA
- 10.3.4. SOUTH KOREA
- 10.3.5. AUSTRALIA
- 10.3.6. REST OF ASIA PACIFIC
- 10.4. REST OF WORLD
- 10.4.1. LATIN AMERICA
- 10.4.2. MIDDLE EAST & AFRICA
11. COMPETITIVE LANDSCAPE
- 11.1. MARKET SHARE ANALYSIS
- 11.2. CORPORATE STRATEGIES
- 11.2.1. MERGER & ACQUISITIONS
- 11.2.2. PRODUCT DEVELOPMENT
- 11.2.3. COLLABORATION & PARTNERSHIP
- 11.2.4. OTHER KEY STRATEGIES
- 11.3. COMPANY PROFILES
- 11.3.1. AMAZON WEB SERVICES INC.
- 11.3.2. BAIDU, INC.
- 11.3.3. DELL, INC.
- 11.3.4. FAIR ISAAC CORPORATION (FICO)
- 11.3.5. FRACTAL ANALYTICS
- 11.3.6. GOOGLE, INC.
- 11.3.7. HEWLETT PACKARD ENTERPRISE (HPE)
- 11.3.8. IBM CORPORATION (INTERNATIONAL BUSINESS MACHINES)
- 11.3.9. INTEL CORPORATION
- 11.3.10. MICROSOFT CORPORATION
- 11.3.11. ORACLE CORPORATION
- 11.3.12. SAP SE
- 11.3.13. TERADATA CORPORATION
- 11.3.14. TIBCO SOFTWARE INC.
- 11.3.15. TRADEMARKVISION