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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