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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. All Insights Concerns, challenges, and use of third-part APIs A look at third party APIs: usage, characteristics, security. Access the Full Preview About this Report 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 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 Key Questions Answered What are the features of a high quality API according to developers? What are developers concerned with in their use of third-party APIs? According to developers what are the key security risks in the use of third-party APIs? Click to expand

With billions of people now carrying powerful computers in their pockets, the audience for mobile games has become truly vast and global in scale, with mobile game development being an attractive and accessible field for developers. This report delves into the current landscape of mobile game development, by assessing the demographics of mobile game developers, looking at their geographic distribution and experience levels. Next, we examine the nature of their involvement in the sector, and unveiling their primary goals when developing games. Our attention also turns to the choices and decisions made by mobile game developers for their projects, while we also delve into the types of games being created and explore the strategies game developers employ to monetise their projects. All Insights Landscape of mobile games development A broad view of the demographics and technology choices of game developers Access the Full Preview About this Report With billions of people now carrying powerful computers in their pockets, the audience for mobile games has become truly vast and global in scale, with mobile game development being an attractive and accessible field for developers. This report delves into the current landscape of mobile game development, by assessing the demographics of mobile game developers, looking at their geographic distribution and experience levels. Next, we examine the nature of their involvement in the sector, and unveiling their primary goals when developing games. Our attention also turns to the choices and decisions made by mobile game developers for their projects, while we also delve into the types of games being created and explore the strategies game developers employ to monetise their projects. Key Questions Answered Who are mobile game developers and where are they located? How many years of experience do mobile game developers have? How are mobile game developers involved in the field? What are the main goals of mobile game developers? Which platforms do mobile game developers target? Do mobile game developers build cross-platform games? What type of games are mobile game developers building? How do mobile game developers monetise their games? Click to expand ACCESS THE FULL PREVIEW Methodology This report is based on data collected from over 1,100 self-identified mobile game developers in the 26th edition of our Developer Nation survey, which ran between December 2023 and February 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

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. Segmenting the backend developer population The key characteristics that distinguish backend developers from one another Access the Full Preview All Insights About this Report 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. Key Questions Answered What are the key characteristics that distinguish backend developers from one another How does developer behaviour differ across various segments? Click to expand ACCESS THE FULL PREVIEW Methodology Segmented groups enable businesses to take a tailored approach when interacting with a population of interest. In this report, we focus on the second most popular development sector behind Software-as-a-Service: backend development. 42% of developers surveyed in Q3 2023 reported some involvement in backend development. Here, we analyse almost 6,000 backend developers from around the world using segmentation analysis to offer insights for companies seeking to take advantage of a tailored approach for targeted marketing, strategic decision-making, and/or resource allocation. 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 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 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

In this report, we will explore the different practices and approaches used by developers involved in data and machine learning (ML) operations (DataOps/MLOps), and how these practices are used together. We will also look at how differentDataOps/MLOp practices dictate the use of different backend and ML technologies, as well as ways of storing data. Finally, we will show how developers' motivations and target audiences are impacted bytheirDataOps/MLOp practices. All Insights Emerging practices in MLops / DataOps An overview of current and emerging trends in MLOps/DataOps Access the Full Preview About this Report In this report, we will explore the different practices and approaches used by developers involved in data and machine learning (ML) operations (DataOps/MLOps), and how these practices are used together. We will also look at how differentDataOps/MLOp practices dictate the use of different backend and ML technologies, as well as ways of storing data. Finally, we will show how developers' motivations and target audiences are impacted bytheirDataOps/MLOp practices. Key Questions Answered What MLOps/DataOps practices are developers using, and using in combination? What are the differences in MLOps/DataOps practices between developers in different sectors? What impact does how the data is stored have on MLOps/DataOps practices? How does the amount of data ML/data scientists use for training their models have on their choice and use of MLOps/DataOps practices? How does the motivation of those involved in ML/AI have on their choice and use of MLOps/DataOps practices? 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

This report investigates how developers use artificial intelligence (AI)-assisted development tools. We start by looking at how many developers use these AI tools to help them with their projects and exploring the tasks they use them for. This report also covers the main reasons why developers use AI-assisted development tools and their effectiveness. Finally, we investigate the challenges developers face when using these tools in their projects. To better understand the current state of AI-assisted development tools, we also break down AI usage information by developer demographics such as experience and use cases throughout the report. All Insights How developers use AI-assisted development tools Exploring adoption, effectiveness and challenges for AI-assisted tools. Access the Full Preview About this Report This report investigates how developers use artificial intelligence (AI)-assisted development tools. We start by looking at how many developers use these AI tools to help them with their projects and exploring the tasks they use them for. This report also covers the main reasons why developers use AI-assisted development tools and their effectiveness. Finally, we investigate the challenges developers face when using these tools in their projects. To better understand the current state of AI-assisted development tools, we also break down AI usage information by developer demographics such as experience and use cases throughout the report. ACCESS THE FULL PREVIEW Methodology The 26th edition of the Developer Nation survey reached more than 10,000 respondents from 135 countries around the world, which ran between December 2023 and February 2024. This research report delves into key developer trends for Q1 2024 and beyond. 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 does the likelihood of using AI tools vary across developers with differing experience levels? What are the common use cases for AI-assisted development tools? How effective do developers perceive AI to be in accomplishing various tasks? What are the key drivers and barriers that motivate and impede developers when incorporating AI tools into their workflow? Click to expand

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. All Insights Concerns, challenges, and use of third-part APIs A look at third party APIs: usage, characteristics, security. Access the Full Preview About this Report 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. 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

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. 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 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 When did technology companies start using GenAI? What reasons led to the adoption of GenAI in sales and marketing? What tasks is GenAI used for in sales and marketing? What are the benefits of Generative AI? What are the challenges, barriers to adoption, and risks of GenAI? How is Generative AI going to evolve? Click to expand ACCESS THE FULL REPORT Methodology This study is based on qualitative interviews conducted with 10 industry professionals - five from Europe and five from the United States - who hold leadership positions in marketing or sales within large technology enterprises. The interviews took place online between the 20th and 31st of January 2025, using a semi-structured format to explore participants’ experiences with generative AI, focusing on adoption, benefits, challenges, and future outlook. 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 Generative AI for Business: Success, Challenges and the Future What’s working, what’s not and what’s next Access the Full Report About this Report Generative artificial intelligence (GenAI) is revolutionising industries by enhancing efficiency, creativity, and decision-making processes. In marketing and sales, GenAI presents a unique ability to augment human capabilities, transforming routine workflows into highly effective operations. This report looks at how GenAI is used by marketing and sales leaders working at large enterprises in the US and Europe. More specifically, it explores why they adopted GenAI in their workflows and for which specific use cases, the benefits and challenges they experience, as well as the risks they associate with this technology.

Sustainable software engineering (SSE) is the practice of minimisingthe environmental cost of software. It is an emerging discipline at the intersection of climate science, software practices and architecture, electricity markets, hardware, and data centre design. In this report, we’ll look at which developers are involved in building sustainable software and which SSE principles are most commonly utilised. We’ll investigate how developers’ experience levels, location, and the size of the organisation they work for –amongst other factors –affect the rate at which they utilise SSE and which principles they most often adopt. Later, we’ll take a closer look at what motivates developers to utilise SSE principles, as well as which challenges they face in doing so. We’ll demonstrate how developers’ motivations and challenges change based on several different factors, such as their experience levels. All Insights Who's integrating sustainable software engineering principles? Developers’ approaches, motivations, and challenges around building green software Access the Full Preview About this Report Sustainable software engineering (SSE) is the practice of minimisingthe environmental cost of software. It is an emerging discipline at the intersection of climate science, software practices and architecture, electricity markets, hardware, and data centre design. In this report, we’ll look at which developers are involved in building sustainable software and which SSE principles are most commonly utilised. We’ll investigate how developers’ experience levels, location, and the size of the organisation they work for –amongst other factors –affect the rate at which they utilise SSE and which principles they most often adopt. Later, we’ll take a closer look at what motivates developers to utilise SSE principles, as well as which challenges they face in doing so. We’ll demonstrate how developers’ motivations and challenges change based on several different factors, such as their experience levels. Key Questions Answered What percentage of developers have added generative AI features to their applications, and how many are interested? Do developers need to be AI or machine learning experts to create generative AI experiences? How does company size influence the choice of incorporation methods of generative AI functionality? What are the biggest challenges developers face when integrating generative AI functionality into their applications? Which cloud services do developers use the most for integrating generative AI into their applications? Click to expand ACCESS THE FULL PREVIEW Methodology Data for this report comes from the 24th edition of our Developer Nation survey, which was fielded in Q1 2023, between December 2022 and February 2023. Around 17,000 developers told us about their experiences with integrating SSE principles into their development projects. 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 how developers use artificial intelligence (AI)-assisted development tools. We start by looking at how many developers use these AI tools to help them with their projects and exploring the tasks they use them for. This report also covers the main reasons why developers use AI-assisted development tools and their effectiveness. Finally, we investigate the challenges developers face when using these tools in their projects. To better understand the current state of AI-assisted development tools, we also break down AI usage information by developer demographics such as experience and use cases throughout the report. All Insights How developers use AI-assisted development tools Exploring adoption, effectiveness and challenges for AI-assisted tools. Access the Full Preview About this Report This report investigates how developers use artificial intelligence (AI)-assisted development tools. We start by looking at how many developers use these AI tools to help them with their projects and exploring the tasks they use them for. This report also covers the main reasons why developers use AI-assisted development tools and their effectiveness. Finally, we investigate the challenges developers face when using these tools in their projects. To better understand the current state of AI-assisted development tools, we also break down AI usage information by developer demographics such as experience and use cases throughout the report. 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 ACCESS THE FULL PREVIEW Methodology The 26th edition of the Developer Nation survey reached more than 10,000 respondents from 135 countries around the world, which ran between December 2023 and February 2024. This research report delves into key developer trends for Q1 2024 and beyond. 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

While the idea of generative artificial intelligence (AI) is not new, a lot of progress has been made over the past few years that has made it highly desirable for both end users and software developers. The aim of this report is to provide an overview of the current state of integration of generative AI functionality by developers into their applications. We will begin by investigating the extent to which developers have started incorporating generative AI functionality into their applications, and how this differs across regions and companies of different sizes. Following this, we will explore the different methods developers use to integrate generative AI functionality into their applications, as well as the use cases they target and the challenges they are faced with. Finally, we will look at which fully-managed generative AI services are currently used the most by developers in this space. All Insights How developers integrate generative AI into their apps Approaches, use cases, challenges, and cloud services used Access the Full Preview About this Report While the idea of generative artificial intelligence (AI) is not new, a lot of progress has been made over the past few years that has made it highly desirable for both end users and software developers. The aim of this report is to provide an overview of the current state of integration of generative AI functionality by developers into their applications. We will begin by investigating the extent to which developers have started incorporating generative AI functionality into their applications, and how this differs across regions and companies of different sizes. Following this, we will explore the different methods developers use to integrate generative AI functionality into their applications, as well as the use cases they target and the challenges they are faced with. Finally, we will look at which fully-managed generative AI services are currently used the most by developers in this space. Key Questions Answered What affects developer productivity? How do you measure developer productivity? Click to expand ACCESS THE FULL PREVIEW Methodology This report is based on data collected from over 16,500 developers who answered questions about incorporating generative AI functionality into their applications in the 25th edition of our Developer Nation survey, which was fielded in Q3 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

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 How many DevOps professionals use application performance monitoring and observability technologies? Who uses application performance monitoring and observability technologies? What challenges do DevOps professionals face in observability projects? How do these challenges differ by experience, company size, and region? 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

Key Questions Answered What percentage of organisations have faced software supply chain threats in the past 12 months? What are the most common types of software supply chain threats faced by organisations? How do the types of software supply chain threats vary with company size? How do the types of software supply chain threats differ across industries? Click to expand ACCESS THE FULL REPORT Methodology The 26th edition of the Developer Nation survey reached more than 10,000 respondents from 135 countries around the world. This research report delves into key developer trends for Q1 2024 and beyond. 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 Threats in software supply chain management The main risks faced by organisations that build and maintain software Access the Full Report About this Report In this report, we will delve into the types of software supply chain threats that DevOps professionals encounter and explore the relationship between organisation size and industry, and the incidence of these threats.