GLOBAL MACHINE LEARNING MARKET FORECAST 2019-2027

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GLOBAL MACHINE LEARNING MARKET FORECAST 2019-2027

Global machine learning market deals with the solutions & services that use statistical techniques & provides computers learning abilities with data without being explicitly programmed. When these algorithms are exposed to new data, they become capable of growing, learning, modifying & developing through themselves. Also, machine learning is related to computational statistics that focus on prediction making with the use of computers. Global machine learning market was valued at $XX billion in 2018 & is estimated to generate net revenue of approximately $22.08 billion by 2027 while growing at a CAGR of 32.21% during the forecast period.

GLOBAL MACHINE LEARNING MARKET FORECAST 2019-2027

Global Machine Learning Market by Deployment (Cloud, on-premise) by Services (Professional Services, Managed Services) by Organization Size (Large Enterprises, Small & Medium-sized Enterprises (Smes)) by Industry Verticals (Banking, Financial Services & Insurance (Bfsi), Healthcare & Life Sciences, Retail, Telecommunication, Government & Defense, Manufacturing, Energy & Utilities, Media & Advertising, Other Verticals) by Geography.

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Global machine learning market deals with the solutions & services that use statistical techniques & provides computers learning abilities with data without being explicitly programmed. When these algorithms are exposed to new data, they become capable of growing, learning, modifying & developing through themselves. Also, machine learning is related to computational statistics that focus on prediction making with the use of computers.

Global machine learning market was valued at $XX billion in 2018 & is estimated to generate net revenue of approximately $22.08 billion by 2027 while growing at a CAGR of 32.21% during the forecast period. The base year considered for the market study is 2018, and the forecasted period is 2019-2027.

The major drivers of the machine learning market are:

  • Proliferation in data generation
  • Rising robotization across numerous verticals
  • Continual advancements in machine learning
  • The growing acceptance of connected devices
  • The upsurge in the adoption of data-driven applications
  • Integration of big data with artificial intelligence & machine learning

However, proliferation in data generation is a crucial factor driving the growth of the market across the globe owing to the ability of machine learning to process big data & provide the required information & automate the process for future. Machine learning offers a promising solution to gain economic benefits from the increasing data with the help of predictive analysis & reducing fraud. According to the World Economic Forum (WEF) organization, XX quintillion bytes data is created each day. Further, by the end of 2020, it is estimated that about XX trillion gigabytes (XX yottabytes) of digital data would be created. The volume of data collected by businesses worldwide is estimated to reach XX every year. Thus, continuous growing data generation is expected to necessitate the adoption of machine learning algorithms for data management, contributing to the growth of the global machine learning market over the forecast period.

Banking, Financial Services & Insurance (BFSI) segment leads the vertical segment in terms of revenue in the global machine learning market, with around 22% market share & the total estimated revenue of $XX million in 2018. The segment is primarily driven by growing demand for machine learning in the BFSI sector to automate the process of loan approval, for fraud prevention, risk management, investment predictions, marketing, and others. Prominent banks across the globe, including JPMorgan Chase, Wells Fargo, Bank of America, Citibank, U.S. Bank, and others, have adopted machine learning to realize the potential benefits of the data-driven decision. On the other hand, the healthcare & life sciences sector is expected to grow at the highest rate over the forecast period exhibiting an XX% CAGR by 2027. The high growth rate is attributed to the fact that machine learning solution has a vast potential across the healthcare sector. These include patient data & risk analysis, in-patient care & hospital management, medical imaging & diagnosis, drug discovery, lifestyle monitoring & management, medical diagnosis & imaging, precision medicine, and others.

Furthermore, key companies are providing various machine learning systems across healthcare that include Google Deep Mind Health, IBM Watson, and others. Moreover, increasing healthcare expenditure also leverages huge adoption opportunities for machine learning. According to the Institute of Health Metrics & Evaluations, the global healthcare expenditure is expected to reach $XX trillion by 2040.

Global machine learning market growth is restricted by sensitive data security & computation limitations. The computations in training & deployment of machine learning are intensive. In addition, every narrow application needs specific training & systems are opaque, which makes them hard to debug. Such factors require high computational data that pose as a restraint in machine learning adoption. Moreover, other factors such as time constraints in learning, problems with verification, and limitations of predictions are also hindering the adoption of machine learning.

Report scope of the global machine learning market covers segmentation analysis of industry verticals, deployment type, organization size & services. Following is the sub-division of the segments:

Market by Deployment:

  • Cloud
  • On-premises

Market by Organization Size:

  • Large Enterprises
  • Small & Medium-sized Enterprises (SMEs)

Market by Services:

  • Professional services
  • Managed services

Market by Industry Verticals:

  • Banking, Financial Services & Insurance (BFSI)
  • Healthcare & life sciences
  • Retail
  • Telecommunication
  • Government & Defense
  • Manufacturing
  • Energy & utilities
  • Media & Advertising
  • Other Verticals

The total market revenue is calculated on the basis of the adoption of machine learning solutions & services across various verticals.

Based on geography, the global machine learning market has been segmented into four major regions:

Geographically, North America leads the global machine learning market by capturing the largest market share of 37% in terms of revenue in 2018. The region is primarily driven due to the high adoption of machine learning solutions by both public & private organization, coupled with technological sound infrastructure & proactive government support to artificial intelligence. In May 2016, the United States formed the National Science & Technology Council subcommittee on machine learning & artificial intelligence. The committee’s primary focus would be on the development of new machine learning & AI technologies that would offer a range of positive benefits across various industries. Furthermore, the public, as well as the private sectors, are embracing machine learning to realize the benefits of the data-driven decision. For instance, several companies in North America, including Walmart, Facebook, Amazon, General Motors, Tesla, and others, have incorporated machine learning as a part of their marketing strategy. They are also focusing on the deployment of ML to realize operational efficiency within the supply chain.

On the other hand, the Asia Pacific machine learning market is anticipated to grow at the highest CAGR of XX % during the forecast period. Emergence of machine learning start-ups, growth in the BFSI, manufacturing & healthcare sector coupled with the growing adoption of artificial intelligence by both the private & public sectors along with the investments in artificial intelligence by the governments of countries such as India, China, Japan, etc are the major factors augmenting growth in the Asia Pacific machine learning market. For instance, in 2017, the Chinese Ministry of Science & Technology launched a national artificial intelligence plan, which will include the framework & policies related to the risks associated with artificial intelligence along with machine learning. Similarly, the Government of India introduced the ‘Digital India’ program in 2015 to revamp the IT structure in India. Under this program, the government doubled the funds allocated to the program to approximately $XX million to bring efficiency & economic scaling up in the critical sectors through machine learning & artificial intelligence.

Global machine learning market has been segmented on the basis of industry verticals, deployment modes, organization size & services. Based on verticals, the report covers banking, financial services & insurance (BFSI), healthcare & life sciences, media & advertising, retail, telecommunication, government & defense, manufacturing, energy & utilities, and other verticals. Further, based on the deployment type, the report covers cloud & on-premises segments. Global machine learning market by services comprises the market of various services that are provided for machine learning solutions. There are two services available in the market, namely professional services & managed services. Moreover, the machine learning market by organization size comprises of machine learning solutions that have applications in large, small & medium-sized enterprises.

Some of the key players involved in the global machine learning market are:

  • Microsoft Corporation
  • IBM Corporation
  • Google Inc.
  • Amazon Web Services, Inc.
  • SAP SE
  • Other Companies

Market share analysis & company profiles of prominent market players are discussed in detail. Most of the companies look for strategies such as contracts, merger & acquisition, agreements, partnership, & new product launch to gain a competitive edge over each other. For Instance, in July 2019, Shanghai Pudong Development Bank (SPDB) Credit Card Centre (CCC) deployed FICO® Customer Communication Services (CCS) in order to boost collections with Intelligent Machine-Learning System. In January 2019, Fractal Analytics raised $200 million from private equity giant Apax Partners. In October 2018, Clarivate Analytics acquired Australian AI-technology company TrademarkVision.

Key findings of the global Machine Learning market are:

  • North America accounts for the largest market share of the overall machine learning market.
  • China and India steered the Asia Pacific region to become the fastest evolving regional market.
  • With the growing demand for intelligent business process, companies are working towards the introduction of a better machine learning solution for better business outcomes.
  • Big data, artificial intelligence, and machine learning are becoming part of the business to accelerate the delivery of business value & increase efficiency.
  • Small & medium-sized enterprises segment in machine learning market is projected to grow fastest with CAGR of XX% during the forecast period of 2019-2027.
  1. RESEARCH SCOPE
    • STUDY GOALS
    • SCOPE OF THE MARKET STUDY
    • WHO WILL FIND THIS REPORT USEFUL?
    • STUDY AND FORECASTING YEARS
  2. RESEARCH METHODOLOGY
    • SOURCES OF DATA
      • SECONDARY DATA
      • PRIMARY DATA
    • TOP-DOWN APPROACH
    • BOTTOM-UP APPROACH
    • DATA TRIANGULATION
  3. EXECUTIVE SUMMARY
    • MARKET SUMMARY
    • KEY FINDINGS
      • NORTH AMERICA DOMINATES THE OVERALL MARKET
      • CHINA & INDIA LED ASIA PACIFIC TO BE THE FASTEST-GROWING MARKET
      • CLOUD IS THE MOST PREFERRED DEPLOYMENT MODE
      • SMALL & MEDIUM-SIZED ENTERPRISES (SMEs) IS PROJECTED TO GROW AT FASTEST CAGR
      • GROWING NUMBER OF START-UPS IN MACHINE LEARNING
  1. MARKET DYNAMICS
    • TIMELINE OF MACHINE LEARNING
    • PARENT MARKET ANALYSIS: ARTIFICIAL INTELLIGENCE
    • MARKET SCOPE & DEFINITION
    • MARKET DRIVERS
      • PROLIFERATION IN DATA GENERATION
      • RISING ROBOTIZATION ACROSS NUMEROUS VERTICALS
      • CONTINUAL ADVANCEMENTS IN MACHINE LEARNING
      • GROWING ACCEPTANCE OF CONNECTED DEVICES
      • UPSURGE IN ADOPTION OF DATA-DRIVEN APPLICATIONS
    • MARKET RESTRAINTS
      • COMPLEXITIES IN MANAGING SENSITIVE DATA
      • TECHNOLOGICAL LIMITATIONS
    • MARKET OPPORTUNITIES
      • GROWING INTEREST IN INTELLIGENT BUSINESS PROCESSES
      • INTEGRATION OF BIG DATA WITH ARTIFICIAL INTELLIGENCE & MACHINE LEARNING
      • HIGH DEMAND FROM NUMEROUS END USER INDUSTRIES
    • MARKET CHALLENGES
      • ETHICAL IMPLICATIONS OF ALGORITHMS DEPLOYED
      • SUSCEPTIBLE TO HARDWARE & SOFTWARE MALFUNCTIONS
  1. MARKET BY DEPLOYMENT
    • CLOUD
    • ON-PREMISE
  2. MARKET BY SERVICES
    • PROFESSIONAL SERVICES
    • MANAGED SERVICES
  3. MARKET BY ORGANIZATION SIZE
    • LARGE ENTERPRISES
    • SMALL & MEDIUM-SIZED ENTERPRISES (SMEs)
  4. MARKET BY INDUSTRY VERTICALS
    • BANKING, FINANCIAL SERVICES & INSURANCE (BFSI)
    • HEALTHCARE & LIFE SCIENCES
    • RETAIL
    • TELECOMMUNICATION
    • GOVERNMENT & DEFENSE
    • MANUFACTURING
    • ENERGY & UTILITIES
    • MEDIA & ADVERTISING
    • OTHER VERTICALS
  5. KEY ANALYTICS
    • PORTER’S FIVE FORCE MODEL
      • THREAT OF NEW ENTRANTS
      • THREAT OF SUBSTITUTE
      • BARGAINING POWER OF SUPPLIERS
      • BARGAINING POWER OF BUYERS
      • THREAT OF COMPETITIVE RIVALRY
    • KEY BUYING CRITERIA
      • PRICE
      • SCALABILITY
      • TRAINING TIME
      • APPLICATION
    • VALUE CHAIN ANALYSIS
      • SOFTWARE DEVELOPMENT
      • CLOUD
      • USERS
    • PATENT ANALYSIS
    • OPPORTUNITY MATRIX
    • VENDOR LANDSCAPE
  6. GEOGRAPHICAL ANALYSIS
    • NORTH AMERICA
      • UNITED STATES
      • CANADA
    • EUROPE
      • UNITED KINGDOM
      • GERMANY
      • FRANCE
      • SPAIN
      • ITALY
      • RUSSIA
      • REST OF EUROPE
    • ASIA PACIFIC
      • CHINA
      • JAPAN
      • INDIA
      • SOUTH KOREA
      • AUSTRALIA
      • REST OF ASIA PACIFIC
    • REST OF WORLD
      • LATIN AMERICA
      • MIDDLE EAST & AFRICA
  1. COMPETITIVE LANDSCAPE
    • MARKET SHARE ANALYSIS
    • CORPORATE STRATEGIES
      • MERGER & ACQUISITIONS
      • PRODUCT DEVELOPMENT
      • COLLABORATION & PARTNERSHIP
      • OTHER KEY STRATEGIES
    • COMPANY PROFILES
      • AMAZON WEB SERVICES INC.
      • BAIDU, INC.
      • DELL, INC.
      • FAIR ISAAC CORPORATION (FICO)
      • FRACTAL ANALYTICS
      • GOOGLE, INC.
      • HEWLETT PACKARD ENTERPRISE (HPE)
      • IBM CORPORATION (INTERNATIONAL BUSINESS MACHINES)
      • INTEL CORPORATION
      • MICROSOFT CORPORATION
      • ORACLE CORPORATION
      • SAP SE
      • TERADATA CORPORATION
      • TIBCO SOFTWARE INC.
      • TRADEMARKVISION

LIST OF TABLES

TABLE 1: GLOBAL MACHINE LEARNING MARKET, BY GEOGRAPHY, 2019-2027 (IN $ MILLION)

TABLE 2: LIST OF PROMINENT START-UPS IN MACHINE LEARNING

TABLE 3: TIMELINE OF MACHINE LEARNING

TABLE 4: GLOBAL MACHINE LEARNING MARKET, BY DEPLOYMENT, 2019-2027 (IN $ MILLION)

TABLE 5: GLOBAL CLOUD MARKET, BY REGION, 2019-2027 (IN $ MILLION)

TABLE 6: GLOBAL ON-PREMISE MARKET, BY REGION, 2019-2027 (IN $ MILLION)

TABLE 7: GLOBAL MACHINE LEARNING MARKET, BY SERVICES, 2019-2027 (IN $ MILLION)

TABLE 8: GLOBAL PROFESSIONAL SERVICES MARKET, BY REGION, 2019-2027 (IN $ MILLION)

TABLE 9: GLOBAL MANAGED SERVICES MARKET, BY REGION, 2019-2027 (IN $ MILLION)

TABLE 10: GLOBAL MACHINE LEARNING MARKET, BY ORGANIZATION SIZE, 2019-2027 (IN $ MILLION)

TABLE 11: GLOBAL LARGE ENTERPRISES MARKET, BY REGION, 2019-2027 (IN $ MILLION)

TABLE 12: GLOBAL SMALL & MEDIUM-SIZED ENTERPRISES (SMEs) MARKET, BY REGION, 2019-2027 (IN $ MILLION)

TABLE 13: GLOBAL MACHINE LEARNING MARKET, BY VERTICALS, 2019-2027 (IN $ MILLION)

TABLE 14: GLOBAL BANKING, FINANCIAL SERVICES & INSURANCE (BFSI) MARKET, BY REGION, 2019-2027 (IN $ MILLION)

TABLE 15: GLOBAL HEALTHCARE & LIFE SCIENCES MARKET, BY REGION, 2019-2027 (IN $ MILLION)

TABLE 16: GLOBAL RETAIL MARKET, BY REGION, 2019-2027 (IN $ MILLION)

TABLE 17: GLOBAL TELECOMMUNICATION MARKET, BY REGION, 2019-2027 (IN $ MILLION)

TABLE 18: GLOBAL GOVERNMENT & DEFENSE MARKET, BY REGION, 2019-2027 (IN $ MILLION)

TABLE 19: GLOBAL MANUFACTURING MARKET, BY REGION, 2019-2027 (IN $ MILLION)

TABLE 20: GLOBAL MEDIA & ADVERTISING MARKET, BY REGION, 2019-2027 (IN $ MILLION)

TABLE 21: GLOBAL ENERGY & UTILITIES MARKET, BY REGION, 2019-2027 (IN $ MILLION)

TABLE 22: GLOBAL OTHER VERTICALS MARKET, BY REGION, 2019-2027 (IN $ MILLION)

TABLE 23: OPPORTUNITY MATRIX

TABLE 24: VENDOR LANDSCAPE

TABLE 25: PATENTS FILLED IN MACHINE LEANING BY KEY TECHNOLOGY COMPANIES, 2017

TABLE 26: GLOBAL MACHINE LEARNING MARKET, BY GEOGRAPHY, 2019-2027 (IN $ MILLION)

TABLE 27: NORTH AMERICA MACHINE LEARNING MARKET, BY COUNTRY, 2019-2027 (IN $ MILLION)

TABLE 28: EUROPE MACHINE LEARNING MARKET, BY COUNTRY, 2019-2027 (IN $ MILLION)

TABLE 29: ASIA PACIFIC MACHINE LEARNING MARKET, BY COUNTRY, 2019-2027 (IN $ MILLION)

TABLE 30: REST OF WORLD MACHINE LEARNING MARKET, BY REGION, 2019-2027 (IN $ MILLION)

TABLE 31: LIST OF MERGER & ACQUISITIONS

TABLE 32: LIST OF PRODUCT DEVELOPMENT

TABLE 33: LIST OF COLLABORATION & PARTNERSHIP

TABLE 34: LIST OF OTHER KEY STRATEGIES

LIST OF FIGURES

FIGURE 1: GLOBAL MACHINE LEARNING MARKET, BY VERTICALS, 2018 & 2027 (IN %)

FIGURE 2: NORTH AMERICA MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)

FIGURE 3: ASIA PACIFIC MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)

FIGURE 4: NUMBER OF CONNECTED DEVICES WORLDWIDE, 2015-2025

FIGURE 5: GLOBAL MACHINE LEARNING MARKET, BY CLOUD, 2019-2027 (IN $ MILLION)

FIGURE 6: GLOBAL MACHINE LEARNING MARKET, BY ON-PREMISE, 2019-2027 (IN $ MILLION)

FIGURE 7: GLOBAL MACHINE LEARNING MARKET, BY PROFESSIONAL SERVICES, 2019-2027 (IN $ MILLION)

FIGURE 8: GLOBAL MACHINE LEARNING MARKET, BY MANAGED SERVICES, 2019-2027 (IN $ MILLION)

FIGURE 9: GLOBAL MACHINE LEARNING MARKET, BY LARGE ENTERPRISES, 2019-2027 (IN $ MILLION)

FIGURE 10: GLOBAL MACHINE LEARNING MARKET, BY SMALL & MEDIUM-SIZED ENTERPRISES (SMEs), 2019-2027 (IN $ MILLION)

FIGURE 11: GLOBAL MACHINE LEARNING MARKET, BY BANKING, FINANCIAL SERVICES & INSURANCE (BFSI), 2019-2027 (IN $ MILLION)

FIGURE 12: GLOBAL MACHINE LEARNING MARKET, BY HEALTHCARE & LIFE SCIENCES, 2019-2027 (IN $ MILLION)

FIGURE 13: GLOBAL MACHINE LEARNING MARKET, BY RETAIL, 2019-2027 (IN $ MILLION)

FIGURE 14: GLOBAL MACHINE LEARNING MARKET, BY TELECOMMUNICATION, 2019-2027 (IN $ MILLION)

FIGURE 15: GLOBAL MACHINE LEARNING MARKET, BY GOVERNMENT & DEFENSE, 2019-2027 (IN $ MILLION)

FIGURE 16: GLOBAL MACHINE LEARNING MARKET, BY MANUFACTURING, 2019-2027 (IN $ MILLION)

FIGURE 17: GLOBAL MACHINE LEARNING MARKET, BY MEDIA & ADVERTISING, 2019-2027 (IN $ MILLION)

FIGURE 18: GLOBAL MACHINE LEARNING MARKET, BY ENERGY & UTILITIES, 2019-2027 (IN $ MILLION)

FIGURE 19: GLOBAL MACHINE LEARNING MARKET, BY OTHER VERTICALS, 2019-2027 (IN $ MILLION)

FIGURE 20: PORTER’S FIVE FORCE ANALYSIS

FIGURE 21: KEY BUYING IMPACT ANALYSIS

FIGURE 22: VALUE CHAIN ANALYSIS

FIGURE 23: PATENTS FILLED IN ARTIFICIAL INTELLIGENCE BY KEY TECHNOLOGY COMPANIES, 2009-2017

FIGURE 24: GLOBAL MACHINE LEARNING MARKET, REGIONAL OUTLOOK, 2018 & 2027 (IN %)

FIGURE 25: UNITED STATES MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)

FIGURE 26: CANADA MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)

FIGURE 27: UNITED KINGDOM MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)

FIGURE 28: GERMANY MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)

FIGURE 29: FRANCE MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)

FIGURE 30: SPAIN MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)

FIGURE 31: ITALY MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)

FIGURE 32: RUSSIA MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)

FIGURE 33: REST OF EUROPE MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)

FIGURE 34: CHINA MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)

FIGURE 35: JAPAN MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)

FIGURE 36: INDIA MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)

FIGURE 37: SOUTH KOREA MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)

FIGURE 38: AUSTRALIA MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)

FIGURE 39: REST OF ASIA PACIFIC MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)

FIGURE 40: LATIN AMERICA MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)

FIGURE 41: MIDDLE EAST & AFRICA MACHINE LEARNING MARKET, 2019-2027 (IN $ MILLION)

FIGURE 42: MARKET SHARE ANALYSIS OF KEY PLAYERS IN 2017 (IN %)

  1. MARKET BY DEPLOYMENT
    • CLOUD
    • ON-PREMISE
  2. MARKET BY SERVICES
    • PROFESSIONAL SERVICES
    • MANAGED SERVICES
  3. MARKET BY ORGANIZATION SIZE
    • LARGE ENTERPRISES
    • SMALL & MEDIUM-SIZED ENTERPRISES (SMEs)
  4. MARKET BY INDUSTRY VERTICALS
    • BANKING, FINANCIAL SERVICES & INSURANCE (BFSI)
    • HEALTHCARE & LIFE SCIENCES
    • RETAIL
    • TELECOMMUNICATION
    • GOVERNMENT & DEFENSE
    • MANUFACTURING
    • ENERGY & UTILITIES
    • MEDIA & ADVERTISING
    • OTHER VERTICALS
  5. GEOGRAPHICAL ANALYSIS
    • NORTH AMERICA
      • UNITED STATES
      • CANADA
    • EUROPE
      • UNITED KINGDOM
      • GERMANY
      • FRANCE
      • SPAIN
      • ITALY
      • RUSSIA
      • REST OF EUROPE
    • ASIA PACIFIC
      • CHINA
      • JAPAN
      • INDIA
      • SOUTH KOREA
      • AUSTRALIA
      • REST OF ASIA PACIFIC
    • REST OF WORLD
      • LATIN AMERICA
      • MIDDLE EAST & AFRICA

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