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Allied Market Research

IoT Analytics Market by Component (Software and Services), Deployment Model (Cloud and On-Premises), Application (Energy Management, Predictive & Asset Management, Inventory Management, Sales & Customer Management, Building Automation, and Others), and Industry Vertical (Healthcare, Government & Defense, Manufacturing, Energy & Utilities, IT & Telecom, Logistics & Transportation, Retail, and Others): Global Opportunity Analysis and Industry Forecast, 2020–2027

A08126
Pages: NA
Jun 2021 | 420 Views
 
Author(s) : NA
Tables: NA
Charts: NA
 

COVID-19

Pandemic disrupted the entire world and affected many industries.

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IoT Analytics Market Insights

IoT analytics is the practical application of data analytical tools and procedures to realize value from enormous volumes of data produced by connected IoT devices. IoT makes it possible for businesses to collect and analyze data from sensors on manufacturing equipment, weather stations, smart meters, delivery trucks, and other types of machinery. IoT analytics provides similar benefits for management of data centers and other facilities as well as healthcare and retail applications. Rise in adoption of smartwatches, smart speakers, smart TVs, toys, and appliances among users produce a large amount of data periodically for analysis, which increases requirement of IoT analytics. The analytics enables users to improve operations in facilities and enhance decision making.

IoT-Analytics

IoT analytics 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

Type, Analytics Type, Deployment Model, Application, 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 Rest of Asia-Pacific), Latin America (Brazil, Mexico, and Rest of LATAM) and Middle East and Africa

  Companies covered

Major players analyzed include Amazon Web Services Inc., Cisco Systems Inc., Dell Technologies Inc., HP Enterprise Company, Hitachi Ltd, IBM corporation, Microsoft Corporation, Oracle Corporation, and SAP SE.

 

Impact of COVID-19 on IoT Analytics Market (Pre and Post Analysis):

  • Organizations are encouraged to sensitize their employees around information security outside office space. Working from public spaces should be restricted and organization must utilize technologies that ensure confidential information remains secure on these devices in case of theft or damage.
  • Organizations should take proactive steps by advising their staff and customers to be more vigilant and cautious especially while 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 impact of having many remote workers.
  • Presently, many employees are working from home and students are learning virtually, hence enterprise virtual private network (VPN) servers have now become a lifeline for companies/schools and their security and availability would be a major focus going forward. There is a possibility that an organization’s unpreparedness can lead to security misconfiguration in VPNs. This, in turn, could expose sensitive information on the internet and devices to Denial of Service (DoS) attacks. In addition, some users utilize personal computers to perform official duties, which could also pose a great amount of risk to organizations.

What are the top impacting factors of IoT analytics market growth?

Incredible growth of IoT data, owing to increase in deployment of IoT devices and demand for advanced analytics and automation for businesses to remain competitive are the key factors that drive growth of the IoT analytics market. However, lack of real time algorithms hamper growth of the market. Contrarily, emergence of edge analytics and technology development in PaaS are opportunistic factors for the global market. 

Rise in demand for predictive analytics by businesses

Predictive analytics has increased significance, owing to the rise in number of IoT devices. It is a fundamental part of smart decision making, independent of human users. For instance, a self-driven truck uses Global Positioning System (GPS) reach a destination on time through shortest possible route. The GPS makes use of predictive analytics algorithm for controlling the truck and to choose the shortest path. 

Through utilization of statistical algorithms, historical data and M2M learning, predictive analytics identifies future results. Predictive analytics use similar IoT data as utilized by IoT devices and processes to generate predictions and inferences. IoT analytics has the ability to process IoT data and create real-time dashboards plotted on various parameters. These solutions help users in taking necessary business decisions by evaluating current data as well as historical data to forecast future results. Hence, owing to these, the demand for predictive analytics by companies is going to be a huge driving factor for the IoT analytics market.

Lack of real-time algorithms

Major factor that restricts rapid development of the IoT analytics market is lack of efficient real-time algorithms. Real-time algorithms are defined with a plan to serve real-time applications and handle data without any delay. IoT analytics being a new domain does not acquire robust algorithms and platforms required to handle growing size of IoT data. 

The difference between data generation and data analysis is extremely huge. Owing to this, life span of new algorithms and platforms is restricted, and they get outdated rapidly triggering failure of systems to handle vast data generated through IoT devices. This makes a significant concern for many companies as it eventually results in loss of revenue for them. This is an intense issue, which would gradually diminish with technological innovations in the next few years.

Key segments covered:

Segments

Subsegments

  Component

  • Software
  • Services

  Deployment Model

  • Cloud
  • On-Premises

  Application

  • Energy Management
  • Predictive & Asset Management
  • Inventory Management
  • Sales & Customer Management
  • Building Automation
  • Others

  Industry Vertical

  • Healthcare
  • Government & Defense
  • Manufacturing
  • Energy & Utilities
  • IT & Telecom
  • Logistics & Transportation
  • Retail
  • Others

 

Key benefits of the report:

  • This study presents analytical depiction of the global IoT analytics 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 IoT analytics market share.
  • The current market is quantitatively analyzed from 2020 to 2027 to highlight the global IoT analytics 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.
 
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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