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Allied Market Research

Cloud Artificial Intelligence Market by Offering (Hardware, Software, and Services), Technology (Computer Vision, Machine Learning, Nature Language Processing, and Others), Industry Vertical (Healthcare, Retail, BFSI, Media & Advertising, Government, Manufacturing, Automotive & Transportation, and Others): Global Opportunity Analysis and Industry Forecast, 2020–2027

A09364
Pages: NA
Aug 2021 | 491 Views
 
Author(s) : NA
Tables: NA
Charts: NA
 

COVID-19

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Cloud Artificial Intelligence Market Insight

Artificial intelligence (AI) and cloud computing have emerged as dual mode technology to enhance the lives of millions. Digital assistants such as Google Home, Siri, and Amazon’s Alexa blend AI and cloud computing in our lives every day. On a wider scale, AI capabilities are employed in the business cloud computing environment to make business processes more strategic, efficient, and insight driven. Cloud computing provides businesses with more agility, cost savings, and flexibility by presenting data and applications in the cloud. AI capabilities are now layered with cloud computing and is assisting companies to search for patterns, manage their information, and deliver customer experiences, and improve workflows.

Cloud Artificial Intelligence Market Scope and Structure Analysis:

Report Metric

Details

  Market size available for years

  2020–2027

  Base year considered

  2019

  Forecast period

  2021–2027

  Forecast units

  Value (USD)

  Segments covered

  Offering, Technology, Industry Vertical, and Region

  Regions covered

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

  Companies covered

Major players analyzed include Apple Inc., Google Inc., IBM Corporation, IP soft, Intel Corporation, MicroStrategy Inc., Microsoft Corporation, NVIDIA Corporation, Qlik Technologies Inc., and Verint Systems Inc.,

 

Impact of COVID-19 on Cloud Artificial Intelligence Market: 

  • Organizations are hereby encouraged to sensitize their employees around information security outside of the office space. Working from public spaces should be restricted and organization should utilize technologies that ensure confidential information to remain secure on these devices in the case of theft or damage.
  • Organization’s should take proactive steps by advising their staff and customers to be more vigilant and cautious especially when opening links, emails or documents related to the subject COVID-19. Organizations should ensure their detection and alerting capabilities are functional while keeping an eye on the impact of having many remote workers.
  • Google, Inc. is using its database services to spread awareness by mailing about the pandemic precautions to be taken for every user via its application Gmail.
  • Gmail which is a part of cloud database market is playing a vital role for providing information regarding COVID - 19. 

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

The increase in demand for intelligent virtual assistants, adoption of AI to improve customer service and growth in big data are the major factors driving the growth of cloud artificial intelligence market during the forecast period. However, limited number of AI experts can hamper the market growth to a certain extent. Contrarily, rise in need to improve operational efficiency in manufacturing industry and increase in adoption of cloud-based applications and services among various industries are the opportunity factors of the global market.

Adoption of AI to improve customer service

Digital infrastructure is witnessing colossal adoption at unprecedentedly rapid pace, and the trend is estimated to grow at a liner rate. Automation of services has chosen the fastest pace, giving users the much-required facility to fulfill their regular tasks. Support services industry is gaining high momentum due to on-going disruption of Artificial Intelligence as a technological revolution that has taken almost every business industry by its advancements.

AI powered digital solutions are set up to improve every aspect of business including brand reputation, online customer experience, loyalty, preventive assistance and even production of revenue streams. In January 2017, Google, Inc. launched its Cloud AutoML. It utilizes Google’s Cloud Vision application programming interface and Cloud machine learning engine service. AutoML is used by several leading companies, such as Urban Outfitters and Disney. It is making shopping and search on their specific websites more relevant. It also supports image recognition that allows consumers to drag the images and instruct their systems to recognize those on Google cloud.

Limited number of AI experts 

Currently, every organization is on verge to utilize artificial intelligence (AI) applications to gain positive revenue impact in their businesses. This has driven the need for AI experts to help them make their vision a
reality. One report suggested there about 300,000 AI professionals worldwide, in spite of the fact that there are a large number of jobs accessible. While these are unpredictable figures, the competitive wages & benefits packages and the hostile recruiting tactics rolled out by firms to recruit AI talent would suggest the supply of AI talent is nowhere near matching up to the demand.

As the democratization of deep earning and AI applications provide opportunity for tech giants but now feasible for small- and medium-sized businesses—the demand for AI experts to do the work has expanded as well. 

The other reason for AI skills crisis is that our academic and training programs are not updated to meet new discoveries and pace of innovation with AI. Not only do AI professionals need official training, they need hands on understanding. Therefore, insufficiency of experienced AI experts for leadership roles required by organizations who are just beginning to adopt AI strategies into their operations is an restraint of the market.

Key segments covered:

Segments

Subsegments

  Component

  • Software
  • Services

  Technology

  • Computer Vision
  • Machine Learning
  • Nature Language Processing
  • Others

  Industry Vertical

  • Healthcare
  • Retail
  • BFSI
  • Media & Entertainment
  • Government
  • Manufacturing
  • Automotive & Transportation
  • Others

 

Key benefits of the report:

  • This study presents the analytical depiction of the global cloud artificial intelligence 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 global cloud artificial intelligence market share.
  • The current market is quantitatively analyzed from 2020 to 2027 to highlight the global cloud artificial intelligence market growth scenario.
  • Porter’s five forces analysis illustrates the potency of buyers & suppliers in the market. 
  • The report provides a detailed global cloud artificial intelligence market analysis based on competitive intensity and how the competition will take shape in coming years.
 
With collective industry experience of about 200 years of its analysts and experts, Allied Market Research (AMR) encompasses most infallible research methodology for its market intelligence and industry analysis. We do not only engrave the deepest levels of markets but also sneak through its slimmest details for the purpose of our market estimates and forecasts. Our approach helps in building greater market consensus view for size, shape and industry trends within each industry segment. We carefully factor in industry trends and real developments for identifying key growth factors and future course of the market. Our research proceeds are the resultant of high quality data, expert views and analysis and high value independent opinions. Our research process is designed to deliver balanced view of the global markets and allow stakeholders to make informed decisions.

We offer our clients exhaustive research and analysis based on wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics and regional intelligence. Our in-house industry experts play instrumental role in designing analytic tools and models, tailored to the requirements of particular industry segment. These analytical tools and models sanitize the data & statistics and enhance the accuracy of our recommendations and advice. With AMR’s calibrated research process and 360` degree data-evaluation methodology, our clients are assured of receiving:

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With a strong methodology we are, therefore, confident that our research and analysis are most reliable and guarantees sound business planning.

Secondary research
We refer a broad array of industry sources for our secondary, which typically include; however, not limited to: Company SEC filings, annual reports, company websites, broker & financial reports and investor presentations for competitive scenario and shape of the industry

  • Patent and regulatory databases for understanding of technical & legal developments
  • Scientific and technical writings for product information and related preemptions
  • Regional government and statistical databases for macro analysis
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  • Internal and external proprietary databases, key market indicators and relevant press releases for market estimates and forecast


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Our primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks and face-to-face interactions. We are also in professional corporate relations with various companies that allow us greater flexibility for reaching out industry participants and commentators for interviews and discussions, fulfilling following functions:

  • Validates and improves the data quality and strengthens research proceeds
  • Further develops analyst team’s market understanding and expertise
  • Supplies authentic information about market size, share, growth and forecasts


Our primary research interview and discussion panels are typically composed of most experienced industry members. These participants include; however, not limited to:

  • Chief executives and VPs of leading corporations specific to industry
  • Product and sales managers or country heads; channel partners and top level distributors; banking, investments and valuation experts Key opinion leaders (KOLs)


Analyst tools and models
AMR has developed set of analyst tools and data models to supplement and expedite the analysis process. Corresponding to markets, where there is significant lack of information and estimates, AMR’s team of experts and analyst develop specific analyst tools and industry models to translate qualitative and quantitative industry indicators into exact industry estimates. These models also allow analysts to examine the prospects and opportunities prevailing in the market to accurately forecast the course of the market.
 
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