Science and technology
Key indicators
Selected geographical area: Canada
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298,850 full-time equivalents16,500(annual change)
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$16.6 billion4.5%(annual change)
Subject
- Limit subject index to Biotechnology and nanotechnology
- Limit subject index to Geomatics and geospatial technologies
- Limit subject index to Human resources in science and technology
- Limit subject index to Innovation and business strategy
- Limit subject index to Enterprise and subsidiary activities
- Limit subject index to Industrial activities
- Limit subject index to Organizational and management practices
- Limit subject index to Patents, copyrights and trademarks
- Limit subject index to Products and processes
- Limit subject index to Software licensing and advanced technology use
- Limit subject index to Other content related to Innovation and business strategy
- Limit subject index to Research and development
- Limit subject index to Health expenditures and activities
- Limit subject index to Institutional expenditures and activities
- Limit subject index to Private expenditures and activities
- Limit subject index to Public expenditures and activities
- Limit subject index to Other content related to Research and development
- Limit subject index to Other content related to Science and technology
Results
All (1,069)
All (1,069) (0 to 10 of 1,069 results)
- Data Visualization: 71-607-X2022018Description: This dashboard shows traffic count data that is obtained from traffic camera imagery using a computer vision-based system developed at the Data Exploration and Integration Lab (DEIL) at Statistics Canada. The system periodically pulls traffic imagery from the Application Programmable Interfaces (APIs) of municipal and provincial traffic camera programs. Vehicle detection was implemented using the open source You Only Look Once version 3 (YOLOv3) object detection model that was trained on the Common Objects in Context (COCO) dataset. The output of the model is used to generates real-time counts of the detected vehicles (cars, trucks, buses, motorcycles).Release date: 2024-06-17
- Articles and reports: 11-621-M2024006Description: This study examines the economic footprint created by the Canadian research and development pharmaceutical sector on the Canadian economy in 2021, including a focus on the contribution of Innovative Medicines Canada’s members. While the impact of the sector’s medical research is well known, less known are the economic impacts of the sector on the Canadian economy, such as the value generated, the jobs supported and the investments made.Release date: 2024-06-10
- Table: 33-10-0822-01Geography: Canada, Province or territoryFrequency: OccasionalDescription: Technologies the business or organization plans to adopt or incorporate over the next 12 months, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2024.Release date: 2024-05-27
- Table: 33-10-0823-01Geography: Canada, Province or territoryFrequency: OccasionalDescription: Challenges faced by business or organization when adopting or incorporating technologies, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2024.Release date: 2024-05-27
- Table: 33-10-0825-01Geography: Canada, Province or territoryFrequency: OccasionalDescription: Use of artificial intelligence (AI) by businesses and organizations in producing goods or delivering services over the last 12 months, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2024.Release date: 2024-05-27
- Table: 33-10-0826-01Geography: Canada, Province or territoryFrequency: OccasionalDescription: Extent to which artificial intelligence (AI) has reduced tasks previously performed by employees and the impact of AI use on total employment, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2024.Release date: 2024-05-27
- Table: 33-10-0827-01Geography: Canada, Province or territoryFrequency: OccasionalDescription: Changes made by business or organization when using artificial intelligence (AI) to produce goods or deliver services, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2024.Release date: 2024-05-27
- Table: 33-10-0828-01Geography: Canada, Province or territoryFrequency: OccasionalDescription: New or significantly improved goods or services brought onto the market from 2020 to 2023, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2024.Release date: 2024-05-27
- Table: 33-10-0829-01Geography: Canada, Province or territoryFrequency: OccasionalDescription: Innovation of new products or services and most significant recent product innovation was new to its market, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2024.Release date: 2024-05-27
- Articles and reports: 22-20-00012024002Description: This article explores trends in patent applications made by Canadian-resident businesses for advanced technologies from 2001 to 2019, drawing on Eurostat's aggregation of high-tech patents. Approximately one-third of applications fall under high-tech categories, the bulk of which were associated with Communication, Computer, and Automated business equipment technologies. While these fields saw growth until 2012, a subsequent decline occurred, notably in Computer and Electronic Product Manufacturing. Biotechnology, Semiconductors, and Lasers showed limited dynamism, while aviation technology applications surged by nearly twentyfold over the period.Release date: 2024-05-21
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Data (494)
Data (494) (0 to 10 of 494 results)
- Data Visualization: 71-607-X2022018Description: This dashboard shows traffic count data that is obtained from traffic camera imagery using a computer vision-based system developed at the Data Exploration and Integration Lab (DEIL) at Statistics Canada. The system periodically pulls traffic imagery from the Application Programmable Interfaces (APIs) of municipal and provincial traffic camera programs. Vehicle detection was implemented using the open source You Only Look Once version 3 (YOLOv3) object detection model that was trained on the Common Objects in Context (COCO) dataset. The output of the model is used to generates real-time counts of the detected vehicles (cars, trucks, buses, motorcycles).Release date: 2024-06-17
- Table: 33-10-0822-01Geography: Canada, Province or territoryFrequency: OccasionalDescription: Technologies the business or organization plans to adopt or incorporate over the next 12 months, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2024.Release date: 2024-05-27
- Table: 33-10-0823-01Geography: Canada, Province or territoryFrequency: OccasionalDescription: Challenges faced by business or organization when adopting or incorporating technologies, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2024.Release date: 2024-05-27
- Table: 33-10-0825-01Geography: Canada, Province or territoryFrequency: OccasionalDescription: Use of artificial intelligence (AI) by businesses and organizations in producing goods or delivering services over the last 12 months, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2024.Release date: 2024-05-27
- Table: 33-10-0826-01Geography: Canada, Province or territoryFrequency: OccasionalDescription: Extent to which artificial intelligence (AI) has reduced tasks previously performed by employees and the impact of AI use on total employment, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2024.Release date: 2024-05-27
- Table: 33-10-0827-01Geography: Canada, Province or territoryFrequency: OccasionalDescription: Changes made by business or organization when using artificial intelligence (AI) to produce goods or deliver services, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2024.Release date: 2024-05-27
- Table: 33-10-0828-01Geography: Canada, Province or territoryFrequency: OccasionalDescription: New or significantly improved goods or services brought onto the market from 2020 to 2023, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2024.Release date: 2024-05-27
- Table: 33-10-0829-01Geography: Canada, Province or territoryFrequency: OccasionalDescription: Innovation of new products or services and most significant recent product innovation was new to its market, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership, second quarter of 2024.Release date: 2024-05-27
- Table: 27-10-0367-01Geography: Canada, Geographical region of Canada, Province or territoryFrequency: OccasionalDescription:
Percentage of enterprises that used specific types of advanced or emerging technologies, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period. Advanced technologies include material handling, supply chain or logistics technologies; design or information control technologies; processing or fabrication technologies; clean technologies; security or advanced authentication systems; business intelligence technologies; and other types of advanced technologies. Emerging technologies include nanotechnology, biotechnology, geomatics or geospatial technologies, artificial intelligence (AI), integrated Internet of Things (IoT) systems, blockchain technologies, and other types of emerging technologies.
Release date: 2024-04-30 - Table: 27-10-0368-01Geography: Canada, Geographical region of Canada, Province or territoryFrequency: OccasionalDescription:
Percentage of enterprises that did not adopt or use advanced technologies for specific reasons, by North American Industry Classification System (NAICS) code and enterprise size, based on a one-year observation period. Reasons for not adopting or using advanced technologies include not convinced of economic benefit; difficulty in obtaining financing; high cost of advanced technologies; investment not necessary for continuing operations; lack of technical skills required to support this type of investment; organizational culture too inflexible; decisions made by parent, affiliates or subsidiary businesses; lack of technical support or services (from consultants or vendors); lack of information regarding advanced technology; difficulty in integrating new advanced technologies with existing systems, standards and processes; other reasons for not adopting or using advanced technologies; and adoption or use of advanced technologies not applicable to this business’s activities.
Release date: 2024-04-30
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Analysis (529)
Analysis (529) (40 to 50 of 529 results)
- Stats in brief: 11-627-M2020072Description:
This infographic provides an overview of the Canadian Research and Development Classification (CRDC), a national standard jointly developed by the Canada Foundation for Innovation (CFI), the Canadian Institutes of Health Research (CIHR), the Natural Sciences and Engineering Research Council of Canada (NSERC), the Social Sciences and Humanities Research Council of Canada (SSHRC), and Statistics Canada.
Release date: 2020-10-05 - Articles and reports: 11F0019M2020015Description:
Recent advances in artificial intelligence and machine-learning technologies have fuelled fears of potential job losses among some workers. While the net impact of new technology on total jobs can be negative, positive or neutral, some workers may be more affected than others depending on how easily robots and algorithms can replace them, or how easily their skills complement the new technology. In the case of women and men, it is not clear who is likely to be most affected. This study estimates the risk of job transformation as a result of automation technology faced by women and men.
Release date: 2020-09-24 - 43. Automation, workers and COVID-19 ArchivedStats in brief: 45-28-0001202000100033Description:
Over the past few decades, computer technology has gradually changed workplaces, leading to a reduction of routine and manual job tasks, and an increase in non-routine, cognitive tasks. More recent developments in artificial intelligence and machine learning could be even more far-reaching, as they are designed to execute tasks that were traditionally considered non-automatable.
Release date: 2020-06-29 - Stats in brief: 11-001-X202018122563Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2020-06-29
- Articles and reports: 11F0019M2020011Description:
The recent development of several artificial intelligence applications—such as driverless vehicles, robo-writers and computer-aided medical diagnostics—has led to concerns about the role of human workers in the future workforce. The COVID-19 pandemic has added to these concerns, as businesses may turn to new artificial intelligence technologies to perform work activities not traditionally regarded as automatable, such as social tasks. While previous studies have estimated the share of Canadian workers at high risk of automation-related job transformation, this study is the first to examine in great detail the automation risks faced by different groups of workers.
Release date: 2020-06-29 - 46. Study: Innovation in immigrant-owned firms in Canada ArchivedStats in brief: 11-001-X202016122586Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2020-06-09
- Articles and reports: 11F0019M2020009Description:
The main objective of this paper is to determine whether the immigration status of the owner of a small or medium-sized enterprise (SME) affects the likelihood of a company implementing an innovation. This paper uses data from a survey of Canadian small and medium-sized enterprises (SMEs) in 2011, 2014 and 2017, and asks whether immigrant-owned SMEs were more likely to innovate during the three years prior to the survey than those owned by Canadian-born individuals.
Release date: 2020-06-09 - 48. Study: Why are multinationals more productive than non-multinationals? Evidence from Canada ArchivedStats in brief: 11-001-X202014722585Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2020-05-26
- Articles and reports: 11F0019M2020008Description:
Multinationals play an important role in the world economy because they are larger, innovate more, are more productive and pay higher wages compared with non-multinationals. Multinationals (i.e., firms that have established affiliates or subsidiaries in other countries) have played an increasingly important role in many economies. In Canada, multinationals accounted for only 0.8% of all enterprises in 2016, but they held 67% of all assets in the Canadian economy (Schaffter and Fortier-Labonté 2019). Given the importance of multinationals to the Canadian economy, it is essential for policy makers to understand the economic performance and productivity advantage of multinationals operating in Canada.
To address policy-relevant research questions, a rich micro dataset covering all industries from 2000 to 2014 has been constructed for this study, using several administrative microdata files at Statistics Canada. This dataset is used to delve deeper into and estimate the productivity advantage of multinationals, including the selection and learning effects associated with multinationality. In addition, this study investigates whether and how research and development (R&D) investment contributes to the superior productivity performance of multinationals.
Release date: 2020-05-26 - 50. Study: Productivity dispersion, technological diffusion and productivity growth in Canada ArchivedStats in brief: 11-001-X202001721943Description: Release published in The Daily – Statistics Canada’s official release bulletinRelease date: 2020-01-17
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Reference (43)
Reference (43) (20 to 30 of 43 results)
- Surveys and statistical programs – Documentation: 4222Description: The objective of the survey is to assure the availability of pertinent information to monitor science and technology related activities and to support the development of science and technology policy.
- Surveys and statistical programs – Documentation: 4223Description: The objective of the Survey of Advanced Technology is to collect important information about the extent to which Canadian enterprises use advanced technologies.
- 23. Survey of Innovation, Advanced Technologies and Practices in the Construction and Related IndustriesSurveys and statistical programs – Documentation: 4224Description: The objective of the survey is to provide information on innovation, advanced technology and advanced practices being used in the construction and related industries.
- Surveys and statistical programs – Documentation: 4226Description: The survey provides information on companies developing new products and processes using biotechnologies.
- Surveys and statistical programs – Documentation: 5001Description: This survey is being conducted to measure the extent to which knowledge management practices are used or will be used by Canadian businesses.
- Surveys and statistical programs – Documentation: 5021Description: The objective of the survey is to produce new statistical information on the collection, use and disclosure of human genetic material in Canada.
- Surveys and statistical programs – Documentation: 5038Description: The objectives of the survey are to produce statistical information on the functional food and natural health product sector and a profile of firms engaged in functional food and/or natural health product related activities in Canada.
- Surveys and statistical programs – Documentation: 5072Description: The objective of this survey is to collect new statistical information on the nature and extent of product, process, marketing and organizational innovations in the Canadian food processing industry and on other emerging issues in the food processing industry;
- Surveys and statistical programs – Documentation: 5073Description: The 2015 Bioproducts Production and Development Survey collects information on the characteristics and activities of businesses in Canada that develop and/or produce bioproducts and that collect, separate or refine biomass used in bioproducts.
- Surveys and statistical programs – Documentation: 5096Description: This pilot survey will provide information about federal science expenditures towards developing countries by type of relevant activities in science and technologies and about obstacles and cooperative arrangements with foreign partners.
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