Data processing and data collection can both be moderately more automated with the development of generative AI in 2023. While the automation possibilities were already considerable in both cases, in the instance of data processing it rises to over 90 percent automation with generative AI.

In 2023, artificial intelligence (AI) and machine learning (ML) will assume a pivotal role in the automation within industries, with 80 percent of the respondents having deployed or adopted these technologies.

This data set contains information integral to the operation for the DOT Headquarters building, to include floor plans, fire control systems, air handling systems, lighting systems, and elevator systems.

In 2021, the automation industry is estimated to generate around 214 billion U.S. dollars worldwide. The process automation segment is expected to exceed 83 billion U.S. dollars by 2021. The global automation market is expected to grow rather considerably, particularly in 3D printing, artificial intelligence, and drones, each of which are predicted to nearly double in global revenues over this time period. Automation is an important factor to most modern industries, and industrial software development is vital to fields in tech, engineering, and scientific research. Industrial software alone is expected to be worth 43 billion U.S. dollars in 2021. Automated growth By expediting processes and minimizing human error, the advent of automation and connected devices allows industries to innovate and grow in size fairly rapidly. Without automated processes, stores and warehouses would find it difficult to fill their shelves with i.e. food, medicine, and computers. Whereas the industrial age regarded automation as feats of mechanical engineering, the automation of today is driven by advancements in robotics and software engineering. Currently, industrial workers, researchers, and even bureaucrats make use of machine learning and artificial intelligence to streamline their work.

Automation is not just a technology to increase production and feed economic growth, but it also acts as a service to domestic and personal living. Previously, many products that utilized artificial intelligence and robotics simply were not affordable to the masses. However, as the sectors develop, the technology becomes better and cheaper. Self-driving cars are a stand out example of an automated product that is expected to become widely used once the technology is perfected. In the U.S. alone, annual autonomous vehicle sales are expected reach 4.5 million units by 2035.

About this Dataset

This dataset combines automation probability data with a breakdown of the number of jobs and salary in each occupation by state within the USA. Automation probability was acquired from the work of Carl Benedikt Freyand Michael A. Osborne; State employment data is from the Bureau of Labor Statistics. Note that for simplicity of analysis, all jobs where data was not available or there were less than 10 employees were marked as zero.

How to Cite this Dataset

If you use this dataset in your research, please credit the authors.

Salary Data

@misc{u.s. bureau of labor statistics, title={Occupational Employment Statistics}, url={https://www.bls.gov/oes/current/oes_nat.htm}, journal={U.S. BUREAU OF LABOR STATISTICS}}

Automation Data

@article{frey_osborne_2017, title={The future of employment: How susceptible are jobs to computerisation?}, volume={114}, DOI={10.1016/j.techfore.2016.08.019}, journal={Technological Forecasting and Social Change}, author={Frey, Carl Benedikt and Osborne, Michael A.}, year={2017}, pages={254–280}}

License

License was not specified at the source.

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The Report Includes Global Data Center Automation Software and the Market is Segmented by Material Type (Copper, Aluminium, Plastic), End-user Vertical (Construction, Automotive, Energy & Utilities, Manufacturing & Processing), and Geography (North America, Europ, Asia Pacific, Rest of the World). The market sizes and forecasts are provided in terms of value (USD million) for all the above segments.

This repository presents explanations and fully functioning code examples of several semi and fully automated open source accessibility test tools. These tools fall into multiple technical and strategic categories of use for assessing ICT for Section 508/accessibility conformance in the Software Engineering Life Cycle.

The Data Center Automation Market is projected to grow at 17.2% CAGR, reaching $23.6 Billion by 2029. Where is the industry heading next? Get the sample report now!

Generative AI made the most significant difference in automation potential for those professions needing master’s degrees or higher levels of education. The lack of increase in automation for those with high school diplomas or lower-level education is likely because those with education of that level work highly physical and irregular jobs, activities that are difficult to automate for the digital generative AI process.

Generative AI changes the automation trend

Before the arrival of powerful new generative AI programs such as ChatGPT or Google’s Gemini, it was generally held that automation was going to hit the blue-collar side of the workforce harder than the white-collar. With generative AI, this has been thrown into an upheaval, with some estimates suggesting that education and workforce training, for example, could be automated at nearly three times the rate before generative AI.

Offices for AI

Notable professions impacted are office workers, particularly those that work in data management, with estimates suggesting a nearly 90 percent automation potential in data processing with generative AI. This means the field has begun to level, as lower educated professions and more manual labor-oriented professions are of far less risk to automation due to generative AI specifically.

Open Data is most useful when it’s up-to-date. Over the past eight years, NYC Open Data has invested in dataset automation, so that data is updated without human intervention. As the demand for City data continues to increase, and new technologies continue to surface, our goal is to automate more data, at a faster rate. In the last few months we have been testing tools and processes that should bring us closer to achieving this goal. These efforts will lead to more reliable data, while allowing the Open Data Team and agency staff to work more efficiently. We plan to invest more time into testing new methods of automation, and have released a this dataset so anyone can track our progress on automations.

Estimates of the probability of automation in England by demographic, regional and industry breakdowns, as well as the skills and tasks at risk of automation within jobs.

The Data Center Automation Software And Services Market is projected to grow at 19.8% CAGR, reaching $39.47 Billion by 2029. Where is the industry heading next? Get the sample report now!

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Retail Automation Market Size 2024-2028

The retail automation market size is forecast to increase by USD 11.96 billion at a CAGR of 10.87% between 2023 and 2028.

The market is experiencing significant growth due to several key trends. The high adoption of contactless payment solutions is driving market expansion, as consumers increasingly prefer contactless transactions for convenience and safety. Another trend is the emergence of big data management, which enables retailers to analyze customer behavior and preferences, optimize inventory, and improve operational efficiency. However, privacy and security concerns associated with the collection and use of customer data are challenges that need to be addressed to ensure consumer trust and compliance with regulations. Retailers must prioritize data security measures and implement transparent data handling practices to mitigate these concerns and maintain customer trust.

What will be the Size of the Retail Automation Market During the Forecast Period?

Request Free SampleThe market is experiencing significant growth as logistics technology continues to revolutionize the industry. Smart warehousing and automated warehouse systems are increasingly being adopted to optimize inventory, improve order fulfillment, and enhance customer satisfaction. Data-driven decision making is at the forefront of this transformation, with consumer data being leveraged to map the customer journey and tailor offerings. Innovations in areas such as predictive analytics, robotics process automation (RPA), and artificial intelligence (AI) are driving efficiency and accuracy in inventory management and last-mile delivery. E-commerce growth is a key factor in this market's expansion, with providers offering warehouse management software and omnichannel strategy solutions to help small businesses and brick-and-mortar retailers adapt to the digital age.The future of retail automation is bright, with e-commerce, manufacturing, healthcare, and even grocery stores and restaurants embracing these technologies to streamline operations and enhance the customer experience. Industry conferences, ebooks, blog posts, and consulting resources offer valuable insights into the latest trends and best practices for retailers looking to maximize their ROI.

How is this Retail Automation Industry segmented and which is the largest segment?

The retail automation industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments. TypePoint-of-saleBarcode and RFIDCameraOthersEnd-userSupermarketsHypermarketsSingle item storesFuel stationsRetail pharmaciesGeographyAPACChinaJapanNorth AmericaUSEuropeGermanyUKMiddle East and AfricaSouth America

By Type Insights

The point-of-sale segment is estimated to witness significant growth during the forecast period. Point-of-Sale (POS) automation systems streamline retail transactions by combining hardware and software for efficient sales management. These systems offer significant advantages over traditional cash registers, enabling the storage, sharing, and tracking of sales, payment, and customer data. POS automation enhances operational workflows, ensuring transparency and organizational efficiency. It also delivers a superior shopping experience, aligning with evolving consumer preferences for personalized and convenient services. Technological advancements, such as chatbots, AI business intelligence, and automated inventory management, further enhance POS capabilities. Additionally, POS systems facilitate seamless online transactions, inventory management, and fulfillment chains, including warehouse robotics and automated conveyor systems. Economic growth and increasing individual spending capacities further fuel the adoption of these systems, which incorporate cognitive technology, inventory-scanning systems, and self-checkout systems.Cloud-based POS and warehouse storage solutions provide flexibility and scalability, while automated inventory management and operational workflows ensure transparency and accuracy.

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The Point-of-sale segment was valued at USD 3.66 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 32% to the growth of the global market during the forecast period. Technavio’s analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

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The market In the Asia Pacific region is projected to expand significantly due to the increasing adoption of automation solutions in various sectors, including e-c

Introduction

Robotics Industry Statistics: The robotics industry is experiencing tremendous growth and has become a reality rather than just a science fiction concept. Robots are now commonly used as industrial workers across various global factories, ranging from car factories to vacuum cleaners. Currently, approximately 3.4 million robots are operating worldwide in multiple industries.

This paper includes a range of effective analyses and current trends gathered from different insights in 2023 and 2024. So let's delve into some interesting statistics to get a better sense of the size and growth of the robotics industry.

In 2024, AI and automation will assume a pivotal role in the automation of industries driven by AI, with 85 percent of the respondents concurring that the delivery of value through enhanced productivity and efficiency will be paramount.

Explore the Intelligent Process Automation Global Market Report 2025 Market trends! Covers key players, growth rate 17.5% CAGR, market size $34.43 Billion, and forecasts to 2033. Get insights now!

The global digital process automation market is anticipated to grow from $13,787.81 Mn in 2024 to $31,616.84 Mn by 2032, reaching $15,027.33 Mn in 2025, at a CAGR of 12.1% during the forecast period.

The Logistics Automation Software Market Report is Segmented by Warehouse Automation Market (Component (Hardware (Mobile Robots (AGV, AMR), Automated Storage and Retrieval Systems (AS/RS), Automated Sorting Systems, De-Palletizing/Palletizing Systems, Conveyor Systems, Automatic Identification and Data Collection (AIDC), Order Picking), Software, and Services)), by End-User Industry (Food and Beverage, Post and Parcel, Groceries, General Merchandise, Apparel, Manufacturing, Other End-User Industries), by Geography (North America, Europe, Asia Pacific, Latin America, Middle East, and Africa), and Transportation Automation Market, Other Transportation Automation Market). The Market Sizes and Forecasts are Provided in Terms of Value in USD for all the Segments.

In 2021, it is estimated that 10.9 billion U.S. dollars will be spent on intelligent process automation (IPA). While in that same year, robotic process automation (RPA) and artificial intelligence (AI) business operations are expected to have less spending overall with 5.4 and 4 billion U.S. dollars, respectively. However, by 2023, RPA and AI business operations are expected to gain significant traction.

Differences between RPA, IPA, and AI operations Each of these digitalized processes are relatively similar, however, they each have different functions. Robotic process automation (RPA) examines large volumes of data from software processes and translates them to potential triggers for new actions, responses, and communication with other systems. RPA is typically associated with software robots or “bots” that handle repetitive rule-based digital tasks. On the other hand, intelligent process automation (IPA) allows for business functions that are automatically enabled, that allows the robots to learn from performing their tasks. IPA is therefore, more “smart” and more flexible since it is not rule-driven. The “smartest” of these is artificial intelligence (AI) operations. AI operations simulates human thought processes across the enterprise operations, without manual intervention like with RPA and IPA, and involves self-learning systems more advanced than IPA.

Impact on workforce Each of these technologies have the potential to impact the human workforce in various industries, displacing many from their previous roles. For example, startups such as UiPath are using RPA to take over repetitive and routine data entry and basic processing tasks, especially in the healthcare industry. The main strategy to combat the displaced workforce from the intelligent automation technology deployment is retraining the employees to work on new business needs that are beyond the scope of the automation and AI business operations. This could be anything from exception handling to perhaps more customer-facing roles.

Access the summary of the Network Automation market report, featuring key insights, executive summary, market size, CAGR, growth rate, and future outlook.