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Allied Market Research

Cloud Machine Learning Market by Product Type (Private clouds, Public clouds and Hybrid cloud), Organization Size (Small & Medium-sized Enterprises (SMEs), and Large Enterprises), and Industry Vertical (BFSI, Life Sciences & Healthcare, Retail, Telecommunication, Government & Defense, Manufacturing, Energy & Utilities, and Others): Global Opportunity Analysis and Industry Forecast, 2020–2027

A09569
Pages: NA
Aug 2021 | 439 Views
 
Author(s) : NA
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COVID-19

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Cloud Machine Learning Market Insight

Cloud machine learning is a part of artificial intelligence (AI) that allows computers capability to solve business problem lacking being programmed in detail on cloud. It focuses primarily on the progress of computer programs that allow new data sets to analyzes. It improves the computer to analyze and develop hidden insights without being explicitly programmed. It has several uses in todays technology market relating to safety and security such as face recognition, face detection, image classification, speech recognition, weather forecast and signal diagnosing. Cloud-based services machine learning offer increased scalability and security, making them more suitable for use by companies of all sizes. 

Cloud Machine Learning 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

  Product Type, Organization Size, 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 Amazon.com Inc., Apple Inc., Baidu Inc., Cisco Systems Inc., IBM Corporation, Intel Corporation, Microsoft Corporation, Nuance Communications, SAP AG, Tencentand Wipro Limited.

 

Impact of COVID-19 on Cloud Machine Learning Market:

  • Since the COVID-19 virus outbreak in December 2019, the disease has spread to almost all countries around the globe, with the WHO declaring it a public health emergency. The global impacts of the disease are already starting to be felt, and expected to significantly affect the global cloud machine learning market in 2020.
  • The worldwide lockdown has led all businesses to shift to online mode, as a result there is huge amount of data that is being uploaded on cloud. Thus, to secure and manage data efficiently on cloud creates demand for cloud machine learning market.
  • Businesses which had invested in digital transformation initiatives in the past have proved to be more resilient than companies which are reluctant in adopting emerging technology.
  • Overall, the pandemic is expected to have a positive impact on the global cloud-based cloud machine learning market.

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

Increasing adoption of cloud computing services, strong need to understand customer behavior, and advancement in technologies are the major driving factors for the growth in cloud machine learning market. However, lack of technical expertise can hamper the growth of market. Contrarily, emerging options in application areas, improved connectivity and increase in data from IoT platforms are the opportunity factors for global market. 

Increase in adoption of cloud computing services

Software-as-a-service (SaaS) is an on-demand application, used to manage and rectify performance of a system. Increasing adoption of SaaS offerings such as human capital management (HCM), customer relationship management (CRM), enterprise resource management, and other financial applications creates a favorable environment for adoption of cloud monitoring, particularly in large organizations. In contrast to conventional banking application software, it does not require employees for smooth running of the system. 

Lack of technical expertise

The various large enterprises have been adopting innovative technology such artificial intelligence, machine learning, and automation for solving their business problem. The large number of business owner have been saying that many machine learning engineers are facing issue to solve business related analytical problems. For instance, according to survey conducted by Cloudera, 51% of business leader in Europe said that cloud-based machine learning services is holding them back from implementation due to shortage of skilled employees. Therefore, lack of technical expert of cloud-based machine learning services have restrict to growth of market. 

Key segments covered:

Segments

Subsegments

 Product Type

  • Private clouds
  • Public clouds
  • Hybrid cloud

  Organization Size

  • Small & Medium-sized Enterprises (SMEs)
  • Large Enterprises

  Industry Vertical

  • BFSI
  • Life Sciences & Healthcare
  • Retail
  • Telecommunication
  • Government & Defense
  • Manufacturing
  • Energy & Utilities
  • Others

 

Key benefits of the report:

  • This study presents the analytical depiction of the global cloud machine learning 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 machine learning market share.
  • The current market is quantitatively analyzed from 2021 to 2027 to highlight the market growth scenario.
  • Porter’s five forces analysis illustrates the potency of buyers & suppliers in the market. 
  • The report provides a detailed global cloud machine learning 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:

  • Consistent, valuable, robust and actionable data & analysis that can easily be referenced for strategic business planning
  • Technologically sophisticated and reliable insights through well audited and veracious research methodology
  • Sovereign research proceeds that present a tangible depiction of marketplace


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
  • Authentic new articles, web-casts and other related releases for market evaluation
  • Internal and external proprietary databases, key market indicators and relevant press releases for market estimates and forecast


Primary research
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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