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2022
Smart Machines In Banking Market

Smart Machines in Banking Market by Component (Hardware, Software and Service), Type (Robots, Autonomous Cars, Drones, Wearable Devices and Others) and Technology (Cloud Computing Technology, Big Data, Internet of Everything, Robotics, Cognitive Technology and Affective Technology): Global Opportunity Analysis and Industry Forecast, 2021–2030

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COVID-19

Pandemic disrupted the entire world and affected many industries.

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Smart machines are intelligent devices that use machine-to-machine technology to make decisions and solve problems without human intervention and even when performing repetitive tasks at high speeds and in addition, smart machines provide high accuracy. Furthermore, they are self-contained and assist in the prevention & correction of numerous processing errors caused by thermal working point drift, changing conditions within the staple, or mechanical component wear and tear. Moreover, through data exchange with other automation systems, these systems can provide status updates to a high-level system. Therefore, the surge in demand for smart machines is expected to boost the smart machines in banking market growth in the upcoming period.

The smart machines in banking market share is segmented by component, type, technology and region. Based on component, the market is classified into hardware, software and services. Based on type, the market is categorized into robots, autonomous cars, drones, wearable devices and others. Based on technology, the market is segregated into cloud computing technology, big data, internet of everything, robotics, cognitive technology and affective technology. Based on region, it is analyzed across North America (the U.S. and Canada), Europe (Germany, the UK, France, and Rest of Europe), Asia-Pacific (China, Japan, India, and Rest of Asia-Pacific), and LAMEA (Latin America, Middle East, and Africa).

Key players profiled in the smart machines in banking industry include Aethon, Apple Inc., BAE Systems, Digital Reasoning Systems Inc., General Electric, Google LLC, International Business Machines (IBM) Corporation, KUKA AG, Mobile

Industrial Robots A/S and Salesforce.com Inc. These key players adopt collaboration, partnership, and agreement as their key developmental strategies to increase revenue of the smart machines in banking market and develop new technology-based products for enhancing their product portfolio.

COVID-19 Impact Analysis

  • The outbreak of COVID-19 has hastened the transition to digital banking and refined the overall banking landscape. To remain relevant in the digital age and continue to deliver consistent returns despite various challenges, the banking industry must reimagine its business. So, to ensure future competitiveness, many financial institutions have used digital transformation to modernize their operations so far.
  • Various banking organizations are increasingly using advanced technologies such as smart machines to respond to customer inquiries and other related information during the COVID-19 outbreak. As a result of state/country-imposed lockdowns, the banking firms have adopted remote working as a result of the limited availability of customer service employees. As a result, the firms rely heavily on smart machines and other advanced technologies like AI integrated chatbots to alleviate the burden of customer complaints.

Top Impacting Factors: Market Scenario Analysis, Trends, Drivers, and Impact Analysis

Increasing requirements for enhanced data accessibility in banking firms and the rise in the integration of speech recognition systems with smart machines are driving the growth of the market. In addition, the increased adoption of innovative technology across the banking industry propels the growth of the market. However, a lack of technical expertise is considered to limit the growth of the market. Contrarily, the rise in the adoption of autonomous technologies by enterprises is said to provide a lucrative opportunity for the market.

The smart machines in banking market trends are as follows:

Increasing Requirement for Enhanced Data Accessibility in Banking Firms:

In the manufacturing industry, smart machines are used to improve networked resources and include distributed intelligence. More flexibility and accessibility are provided by integrating devices. Smart machines can be linked to a larger network of connected devices, allowing users to share data across multiple devices with ease. In addition, this allows users to connect to and access their devices from anywhere and at any time. Moreover, many companies provide data syncing and access across all android and ios devices. Therefore, the surge in demand for the need for enhanced data accessibility in banking firms is expected to drive the growth of smart machines in banking market during the forecast period.

The Rise in the Integration of Speech Recognition Systems with the Smart Machines:

Even though they are only available in a few languages, smart machines with speech recognition systems have gained significant popularity among users. Furthermore, shortly, the growing use of smart-speech integrated devices is expected to provide excellent growth opportunities for smart machines in banking market players. For instance, virtual assistants, such as apple company’s Siri, are continuing to improve their linguistic capabilities. In addition, smart machine technologies are as simple as detecting leaks, cracks, and other defects. Moreover, sensor technology can be integrated into smart machines soon, enhancing users' senses and helping them be more aware of their surroundings. Therefore, the rise in the integration of speech recognition systems with smart machines is expected to drive the growth of smart machines in banking market during the forecast period.

Market Scope and Structure Analysis

Report Metric

Details

  Market Size Available for Years

  2020–2030

  Base Year Considered

  2020

  Forecast Period

  2021–2030

  Forecast Unit

  Value (USD)

  Segments Covered

  Component, Type, Technology and Region

  Regions Covered

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

  Companies Covered

Major companies include Aethon, Apple Inc., BAE Systems, Digital Reasoning Systems Inc., General Electric, Google LLC, International Business Machines (IBM) Corporation, KUKA AG, Mobile Industrial Robots A/S and Salesforce.com Inc.

 

Key Benefits of the Report

•    This study presents an analytical depiction of the smart machines in banking market 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 a detailed analysis of the market share.     
•    The current market is quantitatively analyzed from 2021 to 2030 to highlight the smart machines in banking market growth scenario.         
•    Porter’s five forces analysis illustrates the potency of buyers & suppliers in the market.    
•    The report provides a detailed market analysis based on the present and future competitive intensity of the market.

Key Segments Covered

Segments

Sub segments

  Component

  • Hardware
  • Software
  • Service

  Machine Type

  • Robots
  • Autonomous Cars
  • Drones
  • Wearable Devices
  • Others

  Technology

  • Cloud Computing Technology
  • Big Data
  • Internet of Everything
  • Robotics
  • Cognitive Technology
  • Affective Technology

 

Questions Answered in the Smart Machines in Banking Market Report

  • Which are the leading market players active in the smart machines in banking market?
  • What would be the detailed impact of COVID-19 on the smart machines in banking market?
  • What are the current trends that will influence the market in the next few years?
  • What are the driving factors, restraints, and opportunities in the smart machines in banking market?
  • What future projections would help in taking further strategic steps?
 
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