Data Warehouse Automation Statistics


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Data Warehouse Automation Statistics 2023: Facts about Data Warehouse Automation outlines the context of what’s happening in the tech world.

LLCBuddy editorial team did hours of research, collected all important statistics on Data Warehouse Automation, and shared those on this page. Our editorial team proofread these to make the data as accurate as possible. We believe you don’t need to check any other resources on the web for the same. You should get everything here only 🙂

Are you planning to form an LLC? Maybe for educational purposes, business research, or personal curiosity, whatever the reason is – it’s always a good idea to gather more information about tech topics like this.

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Top Data Warehouse Automation Statistics 2023

☰ Use “CTRL+F” to quickly find statistics. There are total 50 Data Warehouse Automation Statistics on this page 🙂

Data Warehouse Automation “Latest” Statistics

  • In comparison to followers, 96% of industry leaders believe innovation is crucial to success, according to Deloitte.[1]
  • 13.5% of the workforce, on average, is temporary during times of average traffic, according to logistics management.[1]
  • According to Logistics Management’s 2018 Warehouse / Distribution Center Survey, “This year, 55% of respondents named labor scarcity as the top issue, an increase from last year’s 49%.[1]
  • According to PwC, just 28% of commercial transportation businesses reported advanced levels of integration and digitalization in 2017.[1]
  • According to BLS data, the warehousing and storage subsector’s hourly salaries increased by more than 20% between 2008 and 2017.[1]
  • According to Westernacher Consulting, a startling 41% of warehouse managers listed not being able to find and keep good hourly workers as one of their top worries in 2016.[1]
  • According to Statista, online sales of physical items reached $504.6 billion in 2018 and are anticipated to reach $735 billion in 2023.[1]
  • Other major challenges for 2018 include a lack of space (44%), outmoded storage, picking, or material handling equipment (38%), and subpar information systems (32%).[1]
  • In reality, the Logistics Bureau estimates that after accounting for distribution expenses, up to 12% of businesses are not profitable.[1]
  • Explained by Logistics Management the use of RF-assisted with scanning has increased by 9% since 2017 while the use of voice aided with scanning has increased by 12% since last year.[1]
  • Considering the next two years according to a 2018 poll by Logistics Management and Peerless Research Group (PRG), 53% anticipate more use, while just 5% anticipate a drop.[1]
  • Respondents only ranked it worse than they did the previous year, when it received a 36% answer, on the last question on IT system capabilities.[1]
  • Given the health of the economy, 42% of respondents to Peerless Research Group’s (PRG) annual survey, taken in January of this year, were moving forward with investments, up from a 35% answer to the same question in early 2017.[1]
  • In a warehouse, temporary employees often make up more than 13% of the workforce during times of regular demand.[1]
  • Global Warehouse Automation Market was worth of $15.97 billion in 2021 and it is expected to reach $29.85 billion at the end of 2028 with CAGR of 9.3%.[2]
  • A recent executive survey from New Vantage Partners shows that 65% of businesses planned to invest more than $50 million in big data and AI initiatives in 2020, up from 40% in 2018.[3]
  • According to Big Commerce, ecommerce businesses that have at least one social media account have 32% more sales on average than online stores that do not utilize social media networks.[3]
  • A Deloitte examination of supply chain leadership found that 79% of businesses with high performing supply networks see revenue growth that is higher than the industry average.[3]
  • According to eMarketer, worldwide retail e commerce sales grew 27.6% in 2020, for a total of $4.27 trillion compared to a 3% decline in total worldwide retail sales, dropping to $23.79 trillion.[3]
  • In the most recent study by Peerless Research Group, 10% of respondents reported seeing their ecommerce channel rise by 60% or more, while 34% overall said that e commerce had increased by 30% or more since the pandemic started.[3]
  • According to Deloitte, among millennials, 43% anticipate themselves quitting their employment within two years, while just 28% see themselves remaining longer than five years.[3]
  • According to a poll by Stitch Labs, 40% of participants said that consistently delivering orders on time is the most important component in gaining satisfied, devoted customers.[3]
  • Warehouse automation market in 2019 was estimated at $15 billion up by 10.9% from the previous year.[3]
  • In 2020, the total warehouse automation market has experienced decline of 6%.[3]
  • According to estimates, the market is expected to grow by 1.5x in the mid term and further expected to cross $37.6 billion by 2030.[3]
  • The mobile robotics market in material handling and logistics is estimated to be valued at $75 billion by 2027 this number is even expected to have more than doubled by the year 2038.[3]
  • According to the FactMR report, the demand for IoT in warehouse management market is expected to rise to $15 billion by 2031.[3]
  • By leveraging automation technologies like sorters, AS/RS, conveyors, and more, time spent “walking” can be reduced by up to 40%.[4]
  • According to the results of Peerless Research Groups’ (PRG) 2018 annual survey, 40% of respondents planned to invest in conveyors and sorting equipment.[4]
  • The market for warehouse automation was predicted to reach $15 billion in 2019, up 10.9% from 2018.[4]
  • Order picking by hand is the most expensive warehousing operation. The amount of time spent traveling in a warehouse may equal 50% of the total working time.[5]
  • Robotics investment in warehouse robotics businesses surged by 57% to more than $380 million in the first quarter of 2020.[5]
  • Built for the cloud and optimized using Oracle Exadata, Autonomous Data Warehouse benefits from faster performance and, according to an IDC report, lowers operational costs by an average of 63%.[6]
  • By the year 2025, more than 50,000 warehouses will have over 4 million commercial robots deployed, predicts ABI research.[7]
  • According to Fortune Business Insights, the market was valued at nearly $140 billion in 2018, more than €212 billion in 2019, and is now projected to reach $320 billion by 2027, exhibiting a 5.4% CAGR during the forecast period.[7]
  • Asia accounted for 44% of the worldwide market for material handling equipment in 2019, Statista reports, followed by Europe with a market share of 33%.[7]
  • More than 2.14 billion individuals globally are anticipated to make online purchases in 2021, up from 1.66 billion in 2016, according to Statista.[7]
  • Statista projects that the market for warehouse automation will grow from $15 billion in 2019 to $30 billion in 2026.[7]
  • 40% of businesses, of which 6% expect to use an outsourced solution in the future, are insourcing fulfillment, according to a DHL survey from 2019.[7]
  • In a Stitch Labs study, 62% of participants cited human error in manual process management as the main reason for inventory or fulfillment problems.[7]
  • 63% of customers indicate that the main motivator for their online purchases is home delivery.[7]
  • With 59% of the world’s population having access to the internet, online shopping is often the most convenient choice for making purchases.[7]
  • Latin America, however, distinguished out with the greatest increase last year, going from 23.2% in 2019 to 36.7% in 2020.[7]
  • Shipping costs are cited as the largest difficulty by 24.7% of retailers, and distribution expenses alone are to blame for the unprofitability of 12% of businesses.[7]
  • After receiving a late item, 45% of online buyers said they won’t return to the same retailer.[7]
  • Led by e-commerce subsidiaries of the Alibaba group and with an annual growth rate of 35%, China is also one of the markets with the fastest e-commerce industry growth.[7]
  • According to Logistics Management’s 2018 study, 42% of respondents were moving forward with investments as a result of the strong economy, up 7% from 2017.[7]
  • By 2027, the market for mobile robots in material handling and logistics is predicted to be worth $75 billion; this amount is even predicted to have more than quadrupled by 2038.[7]
  • 19% of warehouses did not measure order cycle times at all while close to 50% of them continued to track them manually.[7]
  • According to Business Fortune Insights, the global industrial robot market size will rise by $35.68 billion in 2029 from $16.78 billion in 2022.[8]

Also Read

How Useful is Data Warehouse Automation

Proponents of data warehouse automation tout its ability to accelerate the development and deployment of data warehouse solutions. By automating repetitive tasks such as data modeling, ETL processes, and schema design, organizations can reduce the time and effort required to build and maintain their data warehouses. This efficiency can lead to cost savings, as organizations can allocate resources more effectively and focus on more strategic tasks.

Another benefit of data warehouse automation is its potential to improve data quality and consistency. By automating data integration processes, organizations can ensure that data is loaded and transformed accurately, leading to more reliable insights and decisions. This can result in faster and more informed business decisions, as stakeholders have access to high-quality data when they need it.

Additionally, data warehouse automation can enhance collaboration and communication within an organization. By automating data workflows, teams can more easily share and collaborate on data projects, leading to faster development cycles and more efficient problem-solving. This can improve productivity and effectiveness across the organization, as teams can work more seamlessly together to achieve common goals.

However, there are also challenges and considerations to keep in mind when implementing data warehouse automation. One concern is the potential for loss of control and visibility over data processes. Automating certain tasks may make it more challenging to monitor and troubleshoot issues, as they may be hidden within automated workflows. This can lead to greater complexity and potential risk if errors go unnoticed or unaddressed.

Another consideration is the level of expertise required to implement and maintain data warehouse automation solutions. While automation can streamline processes and reduce manual effort, it also requires a certain level of technical expertise to configure and manage effectively. Organizations may need to invest in training or hiring skilled professionals to realize the full benefits of data warehouse automation.

Finally, there is the issue of scalability. While data warehouse automation can improve efficiency and productivity in the short term, organizations need to consider whether their automated processes can adapt and grow as data volumes and complexity increase. Scalability is crucial to ensure that data warehouse automation remains useful and valuable in the long term.

In conclusion, data warehouse automation can be a valuable asset for organizations looking to optimize their data management processes. It can improve efficiency, data quality, and collaboration within an organization, leading to better decision-making and business outcomes. However, organizations must also consider the challenges and considerations associated with data warehouse automation, such as loss of control, expertise requirements, and scalability. By weighing these factors carefully, organizations can maximize the usefulness of data warehouse automation in their data management strategies.

Reference


  1. 6river – https://6river.com/warehouse-automation-statistics/
  2. brandessenceresearch – https://brandessenceresearch.com/automotive-and-transport/warehouse-automation-market
  3. webinarcare – https://webinarcare.com/best-data-warehouse-automation-software/data-warehouse-automation-statistics/
  4. conveyco – https://www.conveyco.com/blog/warehouse-automation-statistics/
  5. netsuite – https://www.netsuite.com/portal/resource/articles/inventory-management/warehouse-automation.shtml
  6. oracle – https://www.oracle.com/autonomous-database/autonomous-data-warehouse/
  7. roboticsbusinessreview – https://www.roboticsbusinessreview.com/analysis/30-e-commerce-stats-that-portend-continued-and-substantial-robotics-automation-adoption/
  8. selecthub – https://www.selecthub.com/warehouse-management/warehouse-automation-trends/

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