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Who is SlashData? SlashData is a Market Research and Analyst firm, based in the UK, serving the technology industry for 20+ years.

Key Questions Answered What is WebAssembly used for, and what attracts developers to it? How optimistic they are about the future adoption of WebAssembly? How familiar are developers with the WebAssembly System Interface (WASI), and why they use it? Click to expand ACCESS THE FULL REPORT Methodology The findings of this report are based on data collected from an online survey designed, produced, and carried out by SlashDatain collaboration with the Linux Foundationand the Cloud Native Computing Foundation(CNCF). The survey reached 255 respondents who use WebAssembly and took place over a period of two weeks in Q3 2023 (21 June-4 August). 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 The State of WebAssembly 2023 Exploring the current state of WebAssembly: what attracts developers, challenges and how optimistic they are about its future. Access the Full Report About this Report WebAssembly is a binary instruction format that provides a portable compilation target for a wide range of programming languages. It aims to take advantage of the common hardware capabilities of a wide range of platforms to enable execution at near-native speeds. The aim of this report is to investigate the current state of this technology. We will explore the languages for which developers use WebAssembly as a compilation target and the performance benefits it provides when migrating their projects. We will also look at aspects that attract developers to WebAssembly, the challenges they face, and how optimistic they are about the future adoption of this technology. Finally, we will conclude by focusing on the WebAssembly System Interface (WASI), gauging familiarity levels and uncovering the key motivations behind its usage.

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 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 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

The aim of this report is to provide an overview of the current state of observability through the eyes of DevOps professionals. We will begin by investigating the adoption of application performance monitoring and observability technologies, and discuss how this is affected by region, company size, and experience levels of the developers. Following this, we will take a deep dive into the most prominent challenges that developers face when setting up and maintaining observability projects. All Insights Observability in software development and the challenges developers face in observability projects Access the Full Preview About this Report The aim of this report is to provide an overview of the current state of observability through the eyes of DevOps professionals. We will begin by investigating the adoption of application performance monitoring and observability technologies, and discuss how this is affected by region, company size, and experience levels of the developers. Following this, we will take a deep dive into the most prominent challenges that developers face when setting up and maintaining observability projects. 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 ACCESS THE FULL PREVIEW Methodology This report is based on data collected from over 15,000 professional developers who indicated that they use DevOps technologies in the 23rd edition of our Developer Nation survey, which was fielded in Q3 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

Product development & improvement is a SlashData service based on market research data, for all high-stakes decisions in your product’s life cycle. From 1. Ideation / market opportunity assessment to Product development & prototyping, Go-to-market - Product launch and Growth & continuous improvement A product that users love: yours Use market research to transform your product and match user needs at all stages in its lifecycle Market research for every product stage Creating a product that resonates with its end users is a real challenge. Intuition can take you far, but it's a strategy based on concrete market and user data that helps you penetrate the market and scale. Product development & improvement is a SlashData service based on market research data, for all high-stakes decisions in your product’s life cycle: 1. Ideation / market opportunity assessment 2. Product development & prototyping 3. Go-to-market - Product launch 4. Growth & continuous improvement Do you need market data to navigate any of these stages? GET IN TOUCH BOOK A CALL Research for Ideation and market opportunity assessment How good is your product-market fit? Before turning on the machines, do your due diligence. Build your product roadmap with a solid understanding of the market. Competitive market analysis Evaluate competitor offerings and positioning, understand industry best practices and discover where you need to focus your efforts. Who are your competitors? Market sizing research Assess the size of your target market (both in terms of number of customers and revenue potential). Is this market worth pursuing? How much should you invest in it? Customer needs analysis Understand customer pain points, preferences, and desired solutions before entering a market. What does your potential audience need? Product development & prototyping What makes a product successful? Get it right the first time: decide which features to prioritise, seek early-stage feedback from your potential customers and bring a successful product to the world. How? Take advantage of the available data for: Concept testing Collect feedback on early-stage ideas, feature concepts, or prototypes so that you can refine product direction before investing in full development. How does your idea sound to the market? Feature prioritisation research Balance user needs, business goals, and development constraints. Confidently decide which product features you should invest in first to increase adoption rates and avoid unnecessary development costs. What should you first focus on? Usability testing How usable is your product? Identify design flaws and usability issues before full-scale development. How easy is it for users to interact with your product? Go-to-market with solid market research Launch a successful MVP Make an entrance and start strong by driving awareness and acquiring early adopters. Successfully launch your product with effective positioning, pricing, and messaging - market research ensures all of these elements are optimised. Brand perception & messaging testing Evaluate how your target audience perceives your brand and whether your messaging effectively communicates the intended value proposition. Are you speaking your target audience’s language? Pricing research Determine the optimal price point and the right pricing model for a product before its launch. Is the price right? Market segmentation analysis Identify distinct groups of customers that share common characteristics that are important to your launch. Use this information to tailor your marketing and product development efforts to each of them. Who is your buyer? Drive product growth and optimisation Keeping customers happy, always Is your product growing or maturing? Failure to measure product performance and incorporate user feedback leads to customer churn. Here’s how we can help avoid that: Customer satisfaction & loyalty analysis Measure overall product satisfaction and satisfaction with specific product attributes. Discover what works well for your users and what needs to be fixed or improved. Are your customers happy with what you offer? Product awareness and adoption Discover if your target audience is aware of your product and, if so, to what extent they use it. Understand why they adopt or reject your offering, what features they are missing, and justify feature investments to the rest of your business. Why did they choose you? Competitive benchmarking Understand how your product compares to solutions competitive to yours. Explore awareness, adoption, reasons for adoption/rejection, satisfaction with certain product attributes, and brand loyalty. Why your product and not a competitor's? In what stage are you in your product life cycle? Our market research can make everything easier. GET IN TOUCH Explore all our services Audience Insights ➜ Product Development & Improvement ➜ Brand Research ➜ Customer Segmentation & Persona Insights ➜ Product Configuration & Optimisation ➜ Competitive Market Intelligence ➜

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Exploring the application security landscape Applications and shift-left security 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 About this Report Exploring the application security landscape 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 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 All Insights

Track adoption, market share and satisfaction All Reports Payment APIs Market Landscape Report Q1 2024 Track adoption, market share and satisfaction Access the Full Report About this Report This market landscape report looks at which payment API offerings developers currently use and how satisfied they are with these products. The report also explores what criteria developers are using to choose payment API solutions, how likely they are to recommend new products, and how the usage of different payment services overlaps. Key Questions Answered How popular are third-party payment APIs? What are the most widely adopted payment processing solutions? Do synergies exist between payment APIs? What are the top reasons for developers to adopt and reject a payment API? What vendors are ranking better for each of these adoption and rejection reasons? How satisfied are developers with each payment processing product? Click to expand ACCESS THE FULL REPORT Methodology Data for the report comes from the 26th edition of our Developer Nation survey, which ran between December 2023 and February 2024 and reached more than 10,000 developers worldwide. Of these global respondents, over 1,800 developers answered survey questions regarding payment API offerings. 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

The aim of this report is to provide an overview of the current state of observability through the eyes of DevOps professionals. We will begin by investigating the adoption of application performance monitoring and observability technologies, and discuss how this is affected by region, company size, and experience levels of the developers. Following this, we will take a deep dive into the most prominent challenges that developers face when setting up and maintaining observability projects. All Insights Observability in software development and the challenges developers face in observability projects Access the Full Preview About this Report The aim of this report is to provide an overview of the current state of observability through the eyes of DevOps professionals. We will begin by investigating the adoption of application performance monitoring and observability technologies, and discuss how this is affected by region, company size, and experience levels of the developers. Following this, we will take a deep dive into the most prominent challenges that developers face when setting up and maintaining observability projects. ACCESS THE FULL PREVIEW Methodology This report is based on data collected from over 15,000 professional developers who indicated that they use DevOps technologies in the 23rd edition of our Developer Nation survey, which was fielded in Q3 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 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

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 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 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. How developers integrate generative AI into their apps Approaches, use cases, challenges, and cloud services used Access the Full Preview All Insights 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. 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. ACCESS THE FULL PREVIEW Key Questions Answered What affects developer productivity? How do you measure developer productivity? 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

A focus on open and open-source AI models Developers’ experience with integrating AI functionality 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 About this Report A focus on open and open-source AI models Key Questions Answered When and how security measures are being implemented? What type of developers are implementing them? 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 All Insights

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. Key Questions Answered When and how security measures are being implemented? What type of developers are implementing them? Click to expand 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 How do the backgrounds and experience levels of ML/AI developers differ from those in other sectors of software development? What are the preferred programming languages for ML/AI developers, and how do these preferences vary by experience level? What are the primary goals and motivations for ML/AI beginners compared to experienced developers? How does the use of ML/AI for personal projects versus organisational needs evolve with developer experience? 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 Profiling of new ML/AI developers Who are the developers who just started their journey in ML/AI development? Access the Full Report About this Report In this report, we aim to understand the profile of developers who started working on machine learning (ML)/artificial intelligence (AI) projects in the last three years. We will do so by looking at basic demographics, such as where they are mostly located, their choice of programming languages, the most common target audiences of their applications, as well as their most important goals in ML/AI development.