Artificial Intelligence and Advanced Machine Learning Market Forecast 2021-2028 with Growth Drivers, Regional Outlook
The global Artificial Intelligence (AI) & advanced Machine Learning (ML) 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. Machine Learning is a type of AI,
which enables computers to learn without being initially programmed. Rising
focus on development of computer programs that can teach themselves and change
and evolve when exposed to new data, is a factor driving demand for these
technologies.
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The Global Artificial Intelligence and Advanced Machine Learning Market
report assesses the historical and current data along with a thorough analysis
of the market dynamics. The report also sheds light on the significant market
growth driving and restraining factors that are anticipated to influence the
market growth through the forecast period. The Global Artificial Intelligence
and Advanced Machine Learning Market studies the market scenario to offer
growth projections for the Artificial Intelligence and Advanced Machine
Learning industry for the forecast period of 2021-2028.
Some major
companies in the market report include:
NVIDIA
Corporation, Prisma Labs, Inc., IBM, Google, Intel Corporation, Clarifai, Inc.,
Microsoft Corporation, Siemens, Netguru, and Micron Technology.
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The report further covers comprehensive SWOT analysis and Porter’s Five
Forces analysis to offer a complete understanding of the competitive landscape
and scenario of each market player. The report also provides an in-depth
analysis of the applications and product types offered in the market.
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)
Key Highlights of 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.
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Artificial
Intelligence and Advanced Machine Learning Market Segmentation by Regions:
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)
ToC of the report:
Chapter 1: Market
overview and scope
Chapter 2: Market
outlook
Chapter 3: Impact
analysis of COVID-19 pandemic
Chapter 4:
Competitive Landscape
Chapter 5:
Drivers, Constraints, Opportunities, Limitations
Chapter 6: Key
manufacturers of the industry
Chapter 7:
Regional analysis
Chapter 8: Market
segmentation based on type & applications
Chapter 9:
Current and Future Trends
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cutting-edge and potentially market-disrupting technologies that are predicted
to become more prevalent in the coming decade.
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