In-Depth Analysis with Booming Trends Supporting Growth and Forecast 2027 | Future Market Insights, Inc.

The global artificial intelligence systems spending market is anticipated to soar with a staggering 46.1% CAGR throughout the projection period between 2017 and 2027. The coronavirus pandemic benefits from the coronavirus outbreak as businesses are remodelling operations to allow employees to work from home. Further, increased spending on online communications and cloud technologies will generate lucrative opportunities during the pandemic.

Artificial Intelligence Systems Spending Market – Key Takeaways

  • Banking solutions for artificial intelligence systems are gaining strong demand, owing to automated customer service, and fraud analysis applications.
  • Pharmaceutical research applications are likely to witness rapid growth aided by the recent spurt in growth of digital patient and formulation databases.
  • Asia Pacific is displaying major growth in artificial intelligence system spending, supported by investments in hardware and infrastructure for artificial intelligence development.

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Artificial Intelligence Systems Spending Market – Critical Driving Factors

  • Growing use of artificial intelligence in ERP and manufacturing solutions and applications drive adoption rates.
  • Sustained automated transport and logistics investments are a key factor contributing to revenues.

Artificial Intelligence Systems Spending Market – Major Constraints

  • Lack of adequate infrastructure to handle vast databases, setup processes, and manage workforce remains a key challenge to market players.
  • High capital required for artificial intelligence system development holds back market growth.

The Anticipated Impact of Coronavirus

The covid-19 pandemic is likely to benefit the artificial intelligence systems spending market. This can be attributed to high investments in cloud and internet infrastructure, for remote working operations around the world during the pandemic. Centralization of corporate data during the crisis will help companies to build on AI capabilities.

AI systems are being used to identify and track vulnerable populations, and generate warnings for potential outbreaks in the future. Further, these systems are proving useful in administration applications in healthcare facilities. Also, increased use of online shopping. However, concerns over privacy, bias and job loss will limit gains during this period.

Competition Landscape

Prominent developers in the artificial intelligence systems spending market include but are not limited to IPsoft Inc., Google Inc., Salesforce.com Inc., Microsoft Corp., Wipro Ltd., Facebook Inc., Infosys Ltd., IBM Corp., Intel Corp., Apple Inc., and Amazon.com Inc.

Artificial intelligence systems spending market players are widely investing in strategic acquisitions to bolster their AI capabilities, and expertise in AI development workforce.

For instance, in early 2020, Apple Inc., announced the acquisition of Xnor.ai for AI-based image recognition tools. Further Amazon has announced the acquisition of Zoox, a startup focused on AI-based autonomous driving developments. Similarly, Snap has revealed its acquisition of Ukraine-based AI-Factory for developing augmented reality functionalities.

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Market Taxonomy

By Industry Type

  • BFSI
  • Discrete & Process Manufacturing
  • Healthcare
  • Retail
  • Wholesale
  • Professional & Consumer
  • Service
  • Transportation

By Technology

  • Deep Learning
  • Machine Learning
  • Natural Language Processing
  • Machine Vision
  • AGI
  • ASI

By Market

  • Hardware
  • Software
  • Services

By Region

  • North America
  • Asia-Pacific excluding
  • Japan
  • Western Europe
  • Eastern Europe
  • Latin America
  • Middle East and Africa
  • Japan

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About the Author

Nikhil Kaitwade

Associate Vice President at Future Market Insights, Inc. has over a decade of experience in market research and business consulting. He has successfully delivered 1500+ client assignments, predominantly in Automotive, Chemicals, Industrial Equipment, Oil & Gas, and Service industries.
His core competency circles around developing research methodology, creating a unique analysis framework, statistical data models for pricing analysis, competition mapping, and market feasibility analysis. His expertise also extends wide and beyond analysis, advising clients on identifying growth potential in established and niche market segments, investment/divestment decisions, and market entry decision-making.
Nikhil holds an MBA degree in Marketing and IT and a Graduate in Mechanical Engineering. Nikhil has authored several publications and quoted in journals like EMS Now, EPR Magazine, and EE Times.

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