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In this report we provide a deeper understanding of the developers working on, learning about, and interested in blockchain projects, discovering where they live and how they learnt to code. We also provide a specific focus on professional developers involved in blockchain projects, understanding which types of roles they have, which software sectors they're involved in, and which revenue models they use. We deep dive into where blockchain developers go to get information about software development and what types of content they prefer to use for different purposes. Finally, we focus on which blockchain platforms are being used, how many platforms are being used, as well as the experience profile of developers using these platforms. All Insights A spotlight on blockchain developers Who are they, and what blockchain platforms do they use? Access the Full Preview About this Report In this report we provide a deeper understanding of the developers working on, learning about, and interested in blockchain projects, discovering where they live and how they learnt to code. We also provide a specific focus on professional developers involved in blockchain projects, understanding which types of roles they have, which software sectors they're involved in, and which revenue models they use. We deep dive into where blockchain developers go to get information about software development and what types of content they prefer to use for different purposes. Finally, we focus on which blockchain platforms are being used, how many platforms are being used, as well as the experience profile of developers using these platforms. Key Questions Answered Which regions are the hotspots for blockchain development? Which revenue models are used by professional developers involved in blockchain projects? Where do blockchain developers go to get information about software development? Which types of content do blockchain developers prefer when solving problems? Which types of content do developers interested in blockchain prefer when doing research? Which blockchain platforms are the most popular? Which blockchain platforms do the most and least experienced developers use? Click to expand ACCESS THE FULL PREVIEW Methodology Data for the report comes from the 23rd edition of our Developer Nation survey, which ran between June 2022 and August 2022. Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT

Application security is critical as it serves to protect against a variety of threats, including malicious attacks that compromise application functionality, unauthorised access to sensitive information, the injection of malicious code, and/or data-leaks. The shift-left approach to application security is a strategy that aims to encourage security checks from the early stages of the software development process. In our analysis we examine how and when – during the software development process – security measures are implemented. We additionally examine what factors contribute to developers implementing various types of security and the amount of security checks they take. All Insights Applications and shift-left security Exploring the application security landscape Access the Full Preview About this Report Application security is critical as it serves to protect against a variety of threats, including malicious attacks that compromise application functionality, unauthorised access to sensitive information, the injection of malicious code, and/or data-leaks. The shift-left approach to application security is a strategy that aims to encourage security checks from the early stages of the software development process. In our analysis we examine how and when – during the software development process – security measures are implemented. We additionally examine what factors contribute to developers implementing various types of security and the amount of security checks they take. ACCESS THE FULL PREVIEW Methodology The report is based on data collected from 14,000+ developers involved in DevOps-related activities who told us about the approaches they use to secure their applications in the 23rd edition of our Developer Nation survey, which was fielded between June and August 2022. Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT Key Questions Answered When and how security measures are being implemented? What type of developers are implementing them? Click to expand

This report aims to help you to understand which channels and types of content you should be concentrating on in order to successfully reach these audiences, answering questions such as: Which information sources are preferred by mobile developers? How do they use these information sources? Where do these developers go to get updates on new technologies? Do they prefer different sources for quick fixes and learning resources? How does education or technology usage influence their preferences? All Insights How and where to reach mobile developers Examining where mobile developers go to learn, get quick fixes, and get updates on new technologies Access the Full Preview About this Report This report aims to help you to understand which channels and types of content you should be concentrating on in order to successfully reach these audiences, answering questions such as: Which information sources are preferred by mobile developers? How do they use these information sources? Where do these developers go to get updates on new technologies? Do they prefer different sources for quick fixes and learning resources? How does education or technology usage influence their preferences? Key Questions Answered Where do mobile developers go to find information and stay up to date? How does geographic region and experience in software development affect choice of information sources? Which resources do mobile developers use for updates on new technologies? How do developers’ technology usage influence tech-update site preferences? How do developers’ positions in the decision-making hierarchy dictate the types of information used for updates? Which resources do mobile developers use to get quick fixes? Does programming language usage influence where mobile developers turn to for quick fixes? Which resources do mobile developers use as learning resources? Does age influence which learning resources mobile developers turn to? Click to expand ACCESS THE FULL PREVIEW Methodology Data for the report comes from the 23rd edition of our Developer Nation survey, which ran between June 2022 and August 2022 and reached more than 9,900 mobile developers. Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT

This report provides data and insights into trends that allow you to estimate the addressable market for IoT technologies in terms of the number of developers using these technologies. The report looks at the global number of industrial internet of things (IIoT) and consumer electronics (CE) developers and forecasts the population change through Q1 2024. We report on the number of people who identify as professionals or amateurs, we provide population estimates for different regions, explore some of the current trends and emerging technologies in IoT and provide an outlook for the near term. Further, the report also evaluates which IIoT and CE product markets and technologies populations have changed since 2021 and forecast their populations by Q1 2025. All Insights IoT developer population forecast How many IIoT/CE developers are there? Access the Full Preview About this Report This report provides data and insights into trends that allow you to estimate the addressable market for IoT technologies in terms of the number of developers using these technologies. The report looks at the global number of industrial internet of things (IIoT) and consumer electronics (CE) developers and forecasts the population change through Q1 2024. We report on the number of people who identify as professionals or amateurs, we provide population estimates for different regions, explore some of the current trends and emerging technologies in IoT and provide an outlook for the near term. Further, the report also evaluates which IIoT and CE product markets and technologies populations have changed since 2021 and forecast their populations by Q1 2025. Key Questions Answered How many IIoT/CE developers are there? Where are these developers located? Where do IoT developers deploy their code? What markets are IoT developers targeting? What technologies are IoT developers currently using? Click to expand ACCESS THE FULL PREVIEW Methodology To estimate the number of developers, we use an independent, bottom-up methodology. The data we use to arrive at the estimates in this report comes from: 1. Reliably measured numbers of developers or direct indicators of their activity: GitHub accounts and repositories, Stack Overflow accounts, and employment statistics from the USA and the European Union. 2. Our proprietary developer survey data, i.e., measured developer behaviour. For this report, we used data from 7,000+ IIoT and 8,600+ CE developers across six consecutive surveys. Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT

This report explores the current landscape of Arm-based Windows application development. We look at the current landscape of developers who are building Windows applications that run on desktop or laptop computers powered by Arm processors, including those who are porting existing x86 or x64 applications to Arm devices. Additionally, we examine the main challenges developers face when developing these applications and the reasons why some developers have not yet ventured into Arm-based development. Lastly, we highlight the key motivations for developers to pursue Arm-based Windows applications. All Insights The current landscape of Arm-based Windows application development Exploring adoption, challenges and opportunities Access the Full Preview About this Report This report explores the current landscape of Arm-based Windows application development. We look at the current landscape of developers who are building Windows applications that run on desktop or laptop computers powered by Arm processors, including those who are porting existing x86 or x64 applications to Arm devices. Additionally, we examine the main challenges developers face when developing these applications and the reasons why some developers have not yet ventured into Arm-based development. Lastly, we highlight the key motivations for developers to pursue Arm-based Windows applications. ACCESS THE FULL PREVIEW Methodology The report is based on data collected from the 28th edition of the Developer Nation survey edition of the Developer Nation survey, a large-scale, online developer survey that was designed, hosted, and fielded by SlashData over a period of five weeks between September and October 2024. Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT Key Questions Answered How many developers are involved with Arm-based Windows applications? How does the adoption of Arm-based Windows applications differ between professional and amateur developers? How does the adoption of Arm-based Windows applications differ based on experience in desktop projects? What are the main challenges when developing Arm-based Windows applications? What are the barriers to developing Arm-based Windows applications for developers who do not currently do so? What are the advantages of developing Arm-based Windows applications? Click to expand

For as long as companies have been around and economists have studied labour markets, worker productivity has been a central focus of conversation and study. In this report, we delve into this concept, examining developer productivity and the factors associated with it using multiple metrics. As this report is focused on developer productivity at work, we focus our analysis exclusively on professional developers. Throughout this report, we examine metrics and factors that are associated with each productivity measurement. Through this analysis, we aim to highlight the pros and cons of framing productivity in various manners. All Insights Measuring developer productivity An overview of its drivers and barriers Access the Full Preview About this Report For as long as companies have been around and economists have studied labour markets, worker productivity has been a central focus of conversation and study. In this report, we delve into this concept, examining developer productivity and the factors associated with it using multiple metrics. As this report is focused on developer productivity at work, we focus our analysis exclusively on professional developers. Throughout this report, we examine metrics and factors that are associated with each productivity measurement. Through this analysis, we aim to highlight the pros and cons of framing productivity in various manners. Key Questions Answered What are the preferred content types for developers? What types of content do developers consume for learning? What types of content do developers consume to keep up-to-date? What types of content do developers consume for problem-solving? How does content consumption differ per experience in software development and geographical location? Click to expand ACCESS THE FULL PREVIEW Methodology This report is based on data collected from 17,000+ developers answering questions in the 25th edition of our Developer Nation survey, which was fielded between June and August 2023. Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT

This report investigates the state of integration of open and fully open-source artificial intelligence (AI) models by developers who add AI functionality to their applications. While focusing on the broader picture, we explore the types of functionalities developers use these models for, why they choose them over their proprietary alternatives, and the challenges they face. In addition to this, we also take a brief look at the reason why developers might avoid using open or open-source models in their applications. All Insights Developers’ experience with integrating AI functionality A focus on open and open-source AI models Access the Full Preview About this Report This report investigates the state of integration of open and fully open-source artificial intelligence (AI) models by developers who add AI functionality to their applications. While focusing on the broader picture, we explore the types of functionalities developers use these models for, why they choose them over their proprietary alternatives, and the challenges they face. In addition to this, we also take a brief look at the reason why developers might avoid using open or open-source models in their applications. Key Questions Answered Where are developers using network APIs located? What type of projects are network API users building? What types of network APIs are developers using? How do professional involvement and company size influence the implementation of network APIs? What challenges do developers face when using network APIs? How do developers prefer to pay for network APIs? How do pricing preferences differ between regions and companies of different sizes? Click to expand ACCESS THE FULL PREVIEW Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT Methodology The report is based on data collected in the 27th edition of SlashData’s global Developer Nation survey, which was fielded between June and July 2024. This survey reached over 2,000 developers who add AI functionality to their applications and answered questions about their experiences with open and open-source models.

How we helped a silicon vendor estimate their total addressable market for their products targeted at software developers. All Case Studies Estimating the total addressable market for a silicon vendor The challenge A leading silicon vendor wanted to estimate the total addressable market of developers for their software products. The key point of interest for our client was to see how they compare to their competitors in terms of market share for each tool type they provide. They also wanted to track the changes in the market over 12 months. The approach SlashData worked closely with the client to identify its key research objectives and designed a custom survey to identify its target audience and the types of tools they use. The results were analysed in conjunction with our existing data to estimate the number of developers that make up our client’s addressable market. This survey was then fielded for the second time after 12 months to track how the results have changed, reaching over 1,400 developers in each wave. The result This research helped our client estimate the size of their addressable market and how their tools compare to their competitors in terms of popularity. Relying on our comprehensive set of questions, we provided detailed analyses for the specific tools of interest to our client, including profiling and segmentation. We also helped our client identify which of its key competitors was gaining popularity by tracking differences between the two waves. Why SlashData Using our expertise, we constructed and fielded two surveys that directly answered our client’s business questions. Each survey was hosted on our custom survey platform, which used advanced data cleaning and weighting based on our existing data. This ensured that our client received the highest-quality results. Are you looking for data to better understand your target audience? Let’s talk. You can find all our data & free industry reports in our Research Space . Related services Audience Insights Previous Case Next Case Get all the new insights in your inbox JOIN NEWSLETTER Access more insights tailored to your needs TALK TO US

Key Questions Answered What is the current adoption of DevOps practices? What is the current adoption of DevOps technologies? Which industries are most involved in DevOps? How has the industry’s performance on DORA metrics changed over the last three and a half years? What is the impact of using multiple DevOps technologies on DORA performance? What is the impact of CI/CD tools on DORA performance? What is the impact of using multiple CI/CD tools simultaneously? Click to expand ACCESS THE FULL REPORT Methodology The findings in this report are based on data from SlashData’sprevious eight Developer Nation surveys which reached more than 150,000 respondents worldwide over three and half years, from Q3 2020 to Q1 2024. Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT All Reports State of Continuous Integration and Continuous Delivery Report 2024 The Evolution of Software Delivery Performance Access the Full Report About this Report In this report, commissioned by the Continuous Delivery Foundation (CDF) and authored by SlashData, we explore the current state of the CI/CD developer ecosystem and how this has evolved over the past three and half years. We will look at what proportion of developers are involved in the broader DevOps space and how many work with CI/CD technologies in particular. Moreover, we will see how developers software delivery performance has changed over time. Finally, we will explore how developers’ usage of multiple CI/CD tools contributes to software delivery performance, as well as the impact of utilizing numerous different types of DevOps technologies.

A look at third party APIs: usage, characteristics, security. Concerns, challenges, and use of third-part APIs Application programming interfaces (APIs) have revolutionisedthe way software is created, enabling developers to use readily available solutions instead of spending time and effort building every piece of their application themselves. In this report, we explore the current state of the global landscape of APIs from the developers' perspective. We look at how many developers use APIs and what sets them apart from those who don't. Moreover, we dive deeper into the specific categories of third-party APIs that developers use the most, explore what developers are looking for in APIs, and what challenges they are facing, with a focus on security. Access the Full Preview About this Report A look at third party APIs: usage, characteristics, security. Key Questions Answered Who uses sustainable software engineering (SSE) approaches? Where are the global hotspots for SSE? Which types of SSE approaches are used? Which SSE principles are utilised by developers of different experience levels and in different regions? What motivates developers to use different SSE approaches and principles? How do developers’ motivations influence the types of SSE approaches they utilise? Which challenges do developers face when implementing SSE approaches? How do they challenges developers face change with their experience levels? Click to expand ACCESS THE FULL PREVIEW Methodology The report is based on data collected from over 22,500 developers who answered questions related to the use of APIs in the 24th edition of our Developer Economics survey, which was fielded in Q1 of 2023. Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT All Insights

In this report, we take a look at the current landscape of network APIs. We begin by exploring the percentage of developers using network APIs, their regional distribution, and the types of projects they are working on. Next, we delve into the various types of network APIs developers use and examine how professional roles and company size influence network API adoption. In chapter three, our attention turns to the challenges developers face when using network APIs and how these challenges vary by company size. Finally, we reveal developers' preferences for network API pricing and explore how preferred models vary by region and company size. All Insights Landscape of network APIs Exploring developer adoption, challenges, and preferred pricing models for network APIs Access the Full Preview About this Report In this report, we take a look at the current landscape of network APIs. We begin by exploring the percentage of developers using network APIs, their regional distribution, and the types of projects they are working on. Next, we delve into the various types of network APIs developers use and examine how professional roles and company size influence network API adoption. In chapter three, our attention turns to the challenges developers face when using network APIs and how these challenges vary by company size. Finally, we reveal developers' preferences for network API pricing and explore how preferred models vary by region and company size. ACCESS THE FULL PREVIEW Methodology The report is based on data collected in the 27th edition of our Developer Nation survey, which was fielded between June and July 2024. This survey reached more than 9,000 respondents from 130+ countries around the world. Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT Key Questions Answered Where are developers using network APIs located? What type of projects are network API users building? What types of network APIs are developers using? How do professional involvement and company size influence the implementation of network APIs? What challenges do developers face when using network APIs? How do developers prefer to pay for network APIs? How do pricing preferences differ between regions and companies of different sizes? Click to expand

This report investigates the state of integration of open and fully open-source artificial intelligence (AI) models by developers who add AI functionality to their applications. While focusing on the broader picture, we explore the types of functionalities developers use these models for, why they choose them over their proprietary alternatives, and the challenges they face. In addition to this, we also take a brief look at the reason why developers might avoid using open or open-source models in their applications. Developers’ experience with integrating AI functionality A focus on open and open-source AI models Access the Full Preview All Insights About this Report This report investigates the state of integration of open and fully open-source artificial intelligence (AI) models by developers who add AI functionality to their applications. While focusing on the broader picture, we explore the types of functionalities developers use these models for, why they choose them over their proprietary alternatives, and the challenges they face. In addition to this, we also take a brief look at the reason why developers might avoid using open or open-source models in their applications. Methodology The report is based on data collected in the 27th edition of SlashData’s global Developer Nation survey, which was fielded between June and July 2024. This survey reached over 2,000 developers who add AI functionality to their applications and answered questions about their experiences with open and open-source models. ACCESS THE FULL PREVIEW Key Questions Answered When and how security measures are being implemented? What type of developers are implementing them? Click to expand Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT

This report investigates the state of integration of open and fully open-source artificial intelligence (AI) models by developers who add AI functionality to their applications. While focusing on the broader picture, we explore the types of functionalities developers use these models for, why they choose them over their proprietary alternatives, and the challenges they face. In addition to this, we also take a brief look at the reason why developers might avoid using open or open-source models in their applications. All Insights Developers’ experience with integrating AI functionality A focus on open and open-source AI models Access the Full Preview About this Report This report investigates the state of integration of open and fully open-source artificial intelligence (AI) models by developers who add AI functionality to their applications. While focusing on the broader picture, we explore the types of functionalities developers use these models for, why they choose them over their proprietary alternatives, and the challenges they face. In addition to this, we also take a brief look at the reason why developers might avoid using open or open-source models in their applications. ACCESS THE FULL PREVIEW Methodology The report is based on data collected in the 27th edition of SlashData’s global Developer Nation survey, which was fielded between June and July 2024. This survey reached over 2,000 developers who add AI functionality to their applications and answered questions about their experiences with open and open-source models. Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT Key Questions Answered What types of functionalities do you add to your applications using open or open-source ML/AI models? What are your main reasons for using open or open-source ML/AI models to add AI functionality to your applications? Do you face any challenges when using open or open-source ML/AI models in your applications? What are your main reasons for not integrating open or open-source ML/AI models in your applications? Click to expand

The report is based on data collected in the 27th edition of our Developer Nation survey, which was fielded between June and July 2024. This survey reached more than 9,000 respondents from 130+ countries around the world. Landscape of network APIs Exploring developer adoption, challenges, and preferred pricing models for network APIs Access the Full Preview All Insights About this Report The report is based on data collected in the 27th edition of our Developer Nation survey, which was fielded between June and July 2024. This survey reached more than 9,000 respondents from 130+ countries around the world. Key Questions Answered Where are developers using network APIs located? What type of projects are network API users building? What types of network APIs are developers using? How do professional involvement and company size influence the implementation of network APIs? What challenges do developers face when using network APIs? How do developers prefer to pay for network APIs? How do pricing preferences differ between regions and companies of different sizes? Click to expand ACCESS THE FULL PREVIEW Methodology In this report, we take a look at the current landscape of network APIs. We begin by exploring the percentage of developers using network APIs, their regional distribution, and the types of projects they are working on. Next, we delve into the various types of network APIs developers use and examine how professional roles and company size influence network API adoption. In chapter three, our attention turns to the challenges developers face when using network APIs and how these challenges vary by company size. Finally, we reveal developers' preferences for network API pricing and explore how preferred models vary by region and company size. Contact us First name* Last name* Work Email* Company * Role* Message I agree to SlashData's Privacy Policy and I want to be contacted * SUBMIT