Close Lucintel Chat
Didn't Find What You're Looking for?
Call us at +1972 636 5056 or write at helpdesk@Lucintel.com
Ask an Expert Provide Custom Requirements Download Sample Report Search Available Reports
  • helpdesk@Lucintel.com
  • |
  • Call Lucintel +1 972 636 5056
  • |
  • Login
  • |
  • Register
  • |
  • Search
  • |
'


According to a market report by Lucintel, the future of the machine learning technology in the global artificial intelligence market looks promising with opportunities in the healthcare, BFSI, law, retail, advertising & media, automotive & transportation, agriculture, and manufacturing end use industries. The machine learning technology in the global artificial intelligence market is expected to reach an estimated $22.5 billion by 2028 with a CAGR of 26.2% from 2023 to 2028. The major drivers for this market are increasing adoption of generative adversarial networks (GAN), growing demand for advanced robotic systems across various end use industries, and rising penetration of IOT and automation across the globe.



In this market, SMEs and large enterprises are two segments of machine learning technology in artificial intelligence by organization size. Lucintel forecasts that large enterprises will remain the larger segment over the forecast period due to increasing adoption of technologies, such as artificial intelligence and data science, to inject predictive insights into business operations.



Within this market, BFSI segment is expected to remain the largest end use segment during the forecast period due to increasing usage of machine learning in algorithmic trading, portfolio management, loan underwriting, and fraud detection application as it helps in continuous assessment of data and contributes in improving the accuracy of financial models and rules.



North America will remain the largest region during the forecast period due to increasing investments in advanced technologies, such as artificial intelligence, cloud computing, and other software services, in countries, like US and Canada.

Oracle, IBM, Amazon Web Services, Microsoft Corporation, SAP SE, Google, Baidu, Intel Corporation, Hewlett Packard Enterprise Development LP, and Dell are the major suppliers of machine learning technology in the global artificial intelligence market.



Lucintel, a leading global strategic consulting and market research firm, has analyzed growth opportunities in the machine learning technology in the global artificial intelligence market by component, organization size, deployment, end use industry, and region. Lucintel has compiled a comprehensive research report titled “Growth Opportunities in the Machine Learning Technology in the Global Artificial Intelligence Market 2023-2028: Trends, Forecast, and Opportunity Analysis.” The Lucintel report serves as a catalyst for growth strategy, as it provides comprehensive data and analysis on trends, key drivers, and directions. The study includes trends and forecast for the machine learning technology in the global artificial intelligence market by component, organization size, deployment, end use industry, and region, as follows:

 


Machine Learning Technology in Artificial Intelligence Market by Component [Value ($B) Shipment Analysis from 2017 to 2028]:




  • Solutions


  • Services



Machine Learning Technology in Artificial Intelligence Market by Organization Size [Value ($B) Shipment Analysis from 2017 to 2028]:




  • SMEs


  • Large Enterprises



Machine Learning Technology in Artificial Intelligence Market by Deployment [Value ($B) Shipment Analysis from 2017 to 2028]:




  • On-Premises


  • Cloud



Machine Learning Technology in Artificial Intelligence Market by End Use Industry [Value ($B) Shipment Analysis from 2017 to 2028]:




  • Healthcare


  • BFSI


  • Law


  • Retail


  • Advertising & Media


  • Automotive & Transportation


  • Agriculture


  • Manufacturing


  • Others



Machine Learning Technology in Artificial Intelligence Market by Region [Value ($B) Shipment Analysis from 2017 to 2028]:




  • North America


  • Europe


  • Asia Pacific


  • The Rest of the World



This more than 150-page research report will enable you to make confident business decisions in this globally competitive marketplace. For a detailed table of contents, contact Lucintel at +1-972-636-5056 or email us at helpdesk@lucintel.com.

 


About Lucintel



Lucintel, the premier global Management Consulting and market research firm, creates winning strategies for growth. Lucintel offers market assessments, competitive analysis, opportunity analysis, Growth Consulting, M&A, and Due diligence services to executives and key decision-makers in a variety of industries. For further information, visit www.lucintel.com.

 


This report answers the following 11 key questions:



Q.1. What are some of the most promising, high-growth opportunities for machine learning technology in the global artificial intelligence market by component (solutions and services), organization size (SMEs and large enterprises), deployment (on-premises and cloud), end use industry (healthcare, BFSI, law, retail, advertising & media, automotive & transportation, agriculture, manufacturing, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?

Q.2. Which segments will grow at a faster pace and why?

Q.3. Which region will grow at a faster pace and why?

Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?

Q.5. What are the business risks and competitive threats in this market?

Q.6. What are the emerging trends in this market and the reasons behind them?

Q.7. What are some of the changing demands of customers in the market?

Q.8. What are the new developments in the market? Which companies are leading these developments?

Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?

Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?

Q.11. What M&A activity did occur in the last five years and how did they impact the industry?