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Artificial Intelligence Market

Artificial Intelligence Market

Artificial Intelligence Market Global Industry Assessment & Forecast

# Pages:

180

Base Year:

2021

Nov - 2021

Format:

Report Code:

VMR-2021-0183

Segments Covered
  • By Solution Hardware, Software, Services
  • By Technology Deep Learning, Machine Learning, Natural Language Processing, Machine Vision
  • By End-Use Healthcare, BFSI, Law, Retail, Advertising & Media, Automotive & Transportation, Agriculture, Manufacturing, Others
Snapshot
Forecast YearsForecast Years: 2021 - 2028
Historical YearsHistorical Years: 2016 - 2020
Revenue 2021Revenue 2021: 65.32 Billion
Revenue 2028Revenue 2028: 175.63 Billion
Revenue CAGRRevenue CAGR (2021 - 2028): 41.23
Fastest Growing Region Fastest Growing Region (2022 - 2028) North America
Customization Offered
  • Cross-segment Market Size and Analysis for Mentioned Segments
  • Additional Company Profiles (Upto 5 With No Cost)
  • Additional Countries (Apart From Mentioned Countries)
  • Country/Region-specific Report
  • Go To Market Strategy
  • Region Specific Market Dynamics
  • Region Level Market Share
  • Import Export Analysis
  • Production Analysis
  • Others Request Customization Speak To Analyst

Research Methodology: Artificial Intelligence Market - Global Market Assessment, 2021 - 2028

Vantage Market Research follows a veracious methodology to arrive at market-related projections. The research methodology is based on the 3 phases namely: Secondary Research, Primary Research, and Data Triangulation. We conduct more than 100 primary interviews for each market either through mail or telephone call. Vantage Market Research employs the most infallible research methodology that ensures clients are receiving:


  • Consistent, vigorous, and actionable data analysis that would help to make key business decisions
  • Statistically improved and reliable insights through a veracious and well-audited research methodology.
  • Independent study ensures a tangible representation of the market

Secondary Research

Primary Research:

The next stage involves the primary research conducted to gather further information and revalidate the data collected from the secondary research. Moreover, primary research is also conducted to identify key players in the market and to gather their market-specific financial information. A typical primary interview fulfills the following data requirements:


  • First-hand information global market size, regional and segmental trends, competitive landscape
  • Validate and authorization of secondary research outcomes and findings
  • Further data collection and expertise development & market understandings

Data Triangulation and Market Size Estimations

After the determination of the overall market size through secondary and primary research, the market is divided into various segments and sub-segments. Moreover, top-down and bottom-up approaches were used to derive and estimate market numbers for mentioned segments/sub-segments in the market. During the data triangulation process, the data was analyzed by employing various data models and statistical techniques to arrive at exact statistics and market size for each segment/sub-segment of the market.  The data is analyzed and triangulated by considering all the key market impacting factors from both supply and demand side of Artificial Intelligence market.  

 

FAQ
Frequently Asked Question
  • The global Artificial Intelligence valued at 65.32 Billion in 2020 and is expected to reach 175.63 Billion in 2028 growing at a CAGR of 41.23%.

  • The prominent players in the market are Google Inc., Microsoft Corporation, Cisco Systems, Nuance Communications, Intel Corporation, IBM, Sentient Technologies, Infosys, AT&T, H2O.ai..

  • The market is project to grow at a CAGR of 41.23% between 2021 and 2028.

  • The driving factors of the Artificial Intelligence include

    • Moore’s law, a law about the increasing pace of computing speeds and prices, which held true for the last several decades, stands invalid today. We simply cannot comprehend the exponential rise in computing speed and power in the previous decade or so, and the advances that are yet to come in the coming years.
    • The other critical development is the speed with which rule-based AI has been replaced by data-based AI, thus, facilitating machine learning. Instead of ‘if/then’ rules, we are now showing machines how to learn and implement processes on their own, and they are getting better at it with time. For example, the more a driverless car drives on the road, the better it gets.

  • North America was the leading regional segment of the Artificial Intelligence in 2020.