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Artificial Intelligence and Advanced Machine Learning Market Share, Types, Applications, Products, Size, Growth, Insights and Forecasts Report 2028

Rising volume of complex data and need for reduction in hardware costs are some key factors driving growth of the Artificial Intelligence & advanced Machine Learning market

 

Vancouver, BC -- (SBWIRE) -- 04/19/2021 -- 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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Artificial Intelligence and ML are major drivers of hyperautomation. Hyperautomation is a mega trend in IT, according to which anything within an organization that can be automated should be automated. The COVID-19 pandemic has fueled adoption of AI and advanced ML technologies, in which is known as "intelligent process automation" and "digital process automation". Hyperautomation can be successful only if automated business processes can adapt to changing circumstances and respond to unforeseen events. This is where AI and advanced ML come into play, through the use of which, the system can improve over time and respond to changing business processes and requirements. Rapid trend of hyperautomation is a key factor expected to propel growth of the market going ahead.

The key players profiled in the report are NVIDIA Corporation, Prisma Labs, Inc., IBM, Google, Intel Corporation, Clarifai, Inc., Microsoft Corporation, Siemens, Netguru, and Micron Technology., and others.

The comprehensive report addresses the following questions:

Which region is expected to dominate the market over the coming years?

Which application or end-user segment is anticipated to show significant growth over the projected timeline?

What is the impact of the COVID-19 pandemic on the overall market growth?

What are the macro- and micro-economic factors influencing the growth of the market?

What are the recent R&D and technological advancements in the Artificial intelligence and Advanced Machine Learning 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)

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Regional Analysis:

According to the regional analysis, the market is segmented into the key geographical regions, including North America, Latin America, Europe, Asia Pacific, and Middle East & Africa. The report further provides insight into the regions dominating the market and is expected to lead the market in the coming years. The report also discusses the growth rate and market size of each major region for the forecast period. It also covers production and consumption patterns, supply and demand dynamics, current and emerging trends, import/export, and the presence of key players in each region.

In-depth Regional Analysis Covers:

North America (U.S., Canada, Mexico)

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)

Key Coverage of the Artificial intelligence and Advanced Machine Learning Market:

Insightful information regarding the global Artificial intelligence and Advanced Machine Learning market
Identification of growth in various segments and sub-segments of the Artificial intelligence and Advanced Machine Learning market
Strategic recommendations for investment opportunities
The report covers significant statistics related to the industry along with products, applications, price analysis, demand & supply, and production and consumptions rate
Emerging trends and current market segment analysis to help investors formulate new business strategies
Accelerates the decision-making process through the availability of the drivers and limitations

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Global Artificial intelligence and Advanced Machine Learning Market has been developing at a rapid rate and is contributing significantly to the global economy in terms of revenue, growth rate, sales, market share, and size. The Global Artificial intelligence and Advanced Machine Learning Market report is a comprehensive research document that provides valuable insights to the readers to understand the fundamentals of the Artificial intelligence and Advanced Machine Learning market.

Table of Content

Chapter 1. Methodology & Sources

    1.1. Market Definition

    1.2. Research Scope 

    1.3. Methodology

    1.4. Research Sources

          1.4.1. Primary

          1.4.2. Secondary

          1.4.3. Paid Sources

    1.5. Market Estimation Technique

Chapter 2. Executive Summary

    2.1. Summary Snapshot, 2020-2028

Chapter 3. Key Insights

Chapter 4. Artificial Intelligence & Advanced Machine Learning Market Segmentation & Impact Analysis

    4.1. Artificial Intelligence & Advanced Machine Learning Market Material Segmentation Analysis

    4.2. Industrial Outlook

          4.2.1. Market indicators analysis

          4.2.2. Market drivers analysis

                    4.2.2.1. Advancement of technology and growing digitization

                    4.2.2.2. Rise in demand from retail sector

                    4.2.2.3. Increasing application of AI and ML in healthcare

          4.2.3. Market restraints analysis

                    4.2.3.1. Concerns regarding data privacy

    4.3. Technological Insights

    4.4. Regulatory Framework

    4.5. Porter's Five Forces Analysis

    4.6. Competitive Metric Space Analysis

    4.7. Price trend Analysis

    4.8. Covid-19 Impact Analysis

CONTINUE…!

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