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Autonomous Agents Market by Deployment Type (On–Premise and Cloud), Organizational Size (Small & Medium Enterprises and Large Enterprises), Industry Vertical (BFSI, Retail, Media & Entertainment, Healthcare, IT & Telecom, Manufacturing, Education, and Others): Global Opportunity Analysis and Industry Forecast, 2020–2027

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Aug 2020 | 115 Views
 
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Autonomous Agents Market Statistics: 2027

Autonomous agent is defined as an independent agent, which do not depend upon human supervision usually in a remote location. They collect information from sensors and then take decisions on their own, with the help of accumulators. These autonomous agents are usually called smart or intelligent agents as they work on the owners’ behalf. Basically, these agents are software programs made up to work under certain states and events independent from owners’ direction.  

 

These autonomous agents are made with the help of artificial intelligence (AI) technology having a certain build-in aim with a set of procedures required to achieve a goal. These agents are manufactured in a way that they can take their own decision on actions without human intervention. High frequency trading system and thermostat are some examples of autonomous agents. 

The purpose behind this technology development is to enhance customer interaction, engagement, and retention by giving them more features with an ease of life, with a target of reduction in cost expenditure to provide better solutions within less time.  

Autonomous Agents Market

 Market scope and structure analysis:

                           Report Matric

                                   Details

  Market size available for the years

2019-2027

  Base year considered

2019

  Forecast period

2020-2027

  Forecast unit

Value (USD)

  Segments covered

  • Deployment Type
  • Organizational Size
  • Industry Vertical
  • Region

  Regions covered

  • North America (U.S. and Canada),
  • Europe (Germany, UK, France, and the Rest of Europe),
  • Asia-Pacific (China, Japan, India, and Rest of Asia-Pacific).
  • LAMEA (Latin America, Middle East, and Africa)

  Companies covered

  • Microsoft Corp.
  • SAP SE
  • IBM Corp
  • Oracle Corp.
  • Cisco Systems Inc.
  • Amazon Web Service Inc.
  • SAS Institute Inc.
  • Intel Corp.
  • Infosys Ltd.
  • Google Corp.

 

 

COVID-19 scenario Analysis:

  • Growth in impact of COVID-19 on the economy has hampered functioning of several sectors, including technology, automation, and banking, owing to which spending on autonomous agents by end users is expected to decrease in the next 1 to 2 years. 
  • Companies operating in the global autonomous agents market are taking suggestive steps to tackle the challenges resulting from the COVID-19 pandemic. They are conducting exhaustive research about COVID-19 to provide alternative methods to mitigate the impact on revenue of the autonomous agents market
  • The impact can be seen very clearly on foreign and domestic small and medium enterprises (SMEs) and multinational companies (MNCs) as they are suffering from huge losses and are even shutting down there operations as well. 

Top impacting factors: Market Scenario Analysis, Trends, Drivers and Impact Analysis

Rise in adoption of AI-based applications majorly drives growth of the market. AI is used in almost all  major areas and fields, as it not only helps to improve development but also growth of these autonomous agents. Moreover, rise in demand for autonomous agents among end users, owing to its numerous benefits such as constantly improved performance, increased efficiency to access real time information, and rise in scalability further fuel growth of the autonomous agents market. However, lack of expertise and high initial investment restraints growth of the market. Furthermore, rise in applications of autonomous agents such as smart homes, mobile robots, self-driving cars, and intelligent factories provide lucrative opportunities for the autonomous agents market growth. In addition, ongoing advancements in artificial intelligence (AI) and machine learning (ML) along with growth in cloud-deployments are expected to provide lucrative opportunities for the market 

Increase in adoption of autonomous agents among the SMEs: 

Autonomous agents help SMEs digitalize their routine work, thus increasing efficiency by eliminating work of individual to play out complex assignments, as reduction in cost is the major need of SMEs. Hence improved efficiency, and reduction in cost are expected to increase its adoption among SME’s.

Ongoing technological advancements with autonomous agents: 

Autonomous agents, which are software-based smart machines, have become a strategic necessity for many organizations. Recent advancements in machine learning have given rise to virtual personal assistants (VPAs). The impact of these has already been felt in enhancing enterprise strategies and communications, hence ongoing technological advancements such as integration of AI in autonomous agents are expected to provide create lucrative opportunities to the autonomous agents market in the upcoming years. 

Key Segments covered: 

                                   Segments

                           Subsegments

  Deployment Type

  • On-Premise.
  • Cloud 

  Organization Size

  • Small & Medium Enterprises
  • Large Enterprises

  Industry vertical

  • BFSI.
  • Retail
  • Media & Entertainment.
  • Healthcare
  • IT & Telecom
  • Manufacturing
  • Education
  • Others

 

Key benefits of the report:

  • This study presents analytical depiction of the global autonomous agents market archiving industry along with the current trends and future estimations to determine the imminent investment pockets.
  • The report presents information related to key drivers, restraints, and opportunities along with detailed analysis of the autonomous agents market share.
  • The current market is quantitatively analyzed from 2019 to 2027 to highlight the autonomous agents market growth scenario.
  • Porter’s five forces analysis illustrates the potency of buyers & suppliers in the market. 
  • The report provides detailed autonomous agents market analysis based on competitive intensity and how the competition will take shape in coming years. 
 
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