The Global Artificial Intelligence and Advanced Machine Learning market size is expected to reach USD 471.39 Billion at a steady CAGR of 35.2% in 2028, according to latest analysis by Emergen Research.

Artificial Intelligence (AI) and advanced Machine Learning (ML) technologies are witnessing increasing demand and deployment across various fields, such as in leading-edge medical diagnostics, advanced quantum computer systems, consumer electronics, and smart personal assistants.

Rapid digitalization is another significant driving factor supporting market growth. Rise in demand for digitalization in transportation, in hospitality and travel industries for hotel bookings and travel, and in healthcare sector in various economies across the globe has been fueling growth of the market.

The extensive analysis covered in the report offers insights into the estimated growth of the market during the forecast timeline. The report estimates the CAGR at which the market is expected to grow throughout the forecast timeline of 2020-2028.

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Emergen Research has segmented the global Artificial Intelligence advanced Machine Learning market on the basis of functions, organization size, vertical, and region:

• Functions Outlook (Revenue, USD Billion; 2018–2028)
  • Operations
  • Manufacturing
  • Customer Support
  • Sales Marketing
  • Research Development
  • Others
• Organization Size Outlook (Revenue, USD Billion; 2018–2028)
  • Small Medium Enterprises
  • Large Enterprises
• Vertical Outlook (Revenue, USD Billion; 2018–2028)
  • Consumer Goods Retail
  • Automotive
  • Healthcare
  • BFSI
  • IT Telecom
  • Government
  • Others (Education, Media Entertainment)

Some Key Highlights From the Report

• In January 2021, mental health technological firm, Clarigent Health, launched Clarity, which is a listening app with AI designed to identify patients at the risk of suicide. The app uses ML to predict patients who are contemplating suicide.
• Artificial Intelligence and Machine Learning are used to improve efficiently in manufacturing industry. Smart factories, also known as smart factories 4.0, can reduce major unexpected downtime and improve efficiency and transition time, overall product quality, and worker safety. Artificial Intelligence enables more productivity, while also ensuring facilities are environment friendly.
• The large enterprises segment accounted for largest revenue share in 2020. Such enterprises are adopting AI and advanced ML at a rapid pace to extract the needed information from large volumes of data and predict the outcome of different problems faced by the organization.
• Artificial Intelligence and advanced Machine Learning interpret data at a higher rate and faster than a trained radiologist, identifying suspicious spots on lesions, skin, brain bleeds, and tumors. The technology is widely used to assist radiologist and solve critical problems in the healthcare sector.

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Radical Highlights of the Artificial Intelligence and Advanced Machine Learning Market Report:

• Study of the latest product launches and technological advancements to help the readers in formulating investment strategies
• Focus on market scenario, dynamics, and trends to be expected in the coming years
• Advanced analytical tools such as Porter’s Five Forces analysis, SWOT analysis, feasibility analysis, and investment return analysis
• Thorough regional analysis to offer insights into production and consumption patterns, supply and demand ratio, market size, revenue contrition, and the presence of prominent players
• Competitive landscape benchmarking with a focus on business profiles, product portfolio, business strategies such as MA activities, revenue, market positions, market share, global position, and financial standing
• Accurate 8-year forecast analysis for the growth of Artificial Intelligence and Advanced Machine Learning market
• Extensive analysis of market drivers, restraints, growth prospects, opportunities, threats, and limitations

Regional Analysis of the Artificial Intelligence and Advanced Machine Learning Market includes:

• North America (U.S., Canada)
• Europe (U.K., Italy, Germany, France, Rest of EU)
• Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)
• Latin America (Chile, Brazil, Argentina, Rest of Latin America)
• Middle East Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)

Asia Pacific revenue is expected to register a rapid growth rate during the forecast period due to a surge in adoption of AI and advanced ML in IT, healthcare, retail and manufacturing. Proliferation of high speed Internet and growth in e-commerce is further driving growth of the market in the region.

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