Artificial Intelligence Engineering Market Future Opportunity and Growth Analysis Report to 2032

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Artificial Intelligence Engineering Market Future
Opportunity and Growth Analysis Report to 2032
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• Industry Insights

• AI engineering market is taking shape as a
  discipline already across various organizations
  and sectors including healthcare, retail, IT and
  telecom, education, and others. Artificial
  intelligence has been advancing as one of the
  most disruptive technology categories in the
  current era. This can be attributed to the
  developments in computing power, speed, capacity,
  and data diversity, in line with the further
  evolution of deep neural networks.
• The growth is probably fueling demand for talent
  in related disciplines, including artificial
  intelligence engineering. For the record, AI
  engineering market is the use of computer
  programming, algorithms, neural networks, and
  other technologies to create AI systems in
  accordance with human needs for mission outcomes.
  Moreover, industry provides organizations with a
  framework to address the bottlenecks.
• To illustrate, in July 2021, the U.S. Department
  of Agricultures National Institute of Food and
  Agriculture and the U.S. NSF declared a USD 220
  million investment in 11 new Artificial
  Intelligence Research Institutes. This capital
  would enable the organizations to pursue
  transformational advances in a range of science
  and engineering fields and economic sectors,
  right from food system security to next-gen edge
  networks.

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• The demand for AI engineering market in the
  retail sector has just skyrocketed. As per
  credible reports, the retail use of AI grew by
  600 in two years. Besides, almost 15 of the
  companies have reported spearheading the adoption
  and investment in AI, while 1 in 4 large
  retailers have claimed to use their IT budgets to
  invest 10 on AI systems.
• There is great optimism that the use of AI
  engineering market can deliver significant
  improvements in all areas of healthcare from
  diagnosis to treatment. The approach is also able
  to aid in drug design, drug repurposing, chemical
  synthesis, and drug screening. AI has made a big
  step forward for several healthcare organizations
  by allowing them to predict which treatment
  options would be best suited for patients based
  on their characteristics and the treatment
  framework.
• AI engineering market has already depicted
  excellent results in the healthcare field for
  analyzing medical images or correlating symptoms
  from EMRs. Additionally, the healthcare ecosystem
  is also realizing the importance of AI tools in
  next-gen healthcare technology.
• The advent of technology has revolutionized the
  banking sector enabling the clients expectations
  to grow. A massive transition to online platforms
  has raised contention for a more satisfactory
  user interface. In lieu of these transformations,
  AI in banking and financial services is gaining
  increased traction as banking institutions can
  now understand the importance of automation for
  critical operations.

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• Competitive Analysis

• The strategic landscape of the AI engineering
  market is foreseen to witness rigorous RD
  projects for product development, along with
  collaboration among market players with
  end-users, to gain a competitive edge in the
  market. Some of the key companies profiled in the
  AI engineering market report include
  Salesforce.com Inc., Alphabet Inc., IBM Corp.,
  Intel Corp., Baidu Inc., Oracle Corp., Meta
  Platforms Inc., Siemens AG, Cisco Systems, Inc.,
  and Nvidia Corp., among others.

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