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市场调查报告书
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1456876
API 测试市场 - 2024 年至 2029 年预测API Testing Market - Forecasts from 2024 to 2029 |
2022 年 API 测试市场价值为 1,003,278,000 美元,预计复合年增长率为 17.29%,到 2029 年市场规模将达到 3,065,363,000 美元。
API代表应用程式介面,是连接应用程式、通讯系统和资料库的程式介面。 API 测试是一种用于确保 API 端点和资料共用功能能如预期运作的技术。此外,API 测试可防止传输过程中的资料损坏以及资料库和端点连接中的意外故障。此外,高效的 API 测试需要适当的测试策略,以确保考虑到特定 API 测试所需的关键元件。
应用程式介面测试有助于确保应用程式的 API 按预期互动和储存资料。此外,我们还测试每个 API 及其功能区域是否会影响您的应用程序,并添加一层安全性测试,例如身份验证、授权和资料加密,这是使用 API 考试的主要好处。此外,由于讯息和资料的拦截和途径而导致的资料外洩如今非常常见。
因此,API端点安全测试是强制性的,以防止此类诈欺的使用者存取应用程式资料并限制资料外洩的案例。正确利用此类测试技术是预测期内推动 API 测试市场的关键因素。
软体开发投资的增加也推动了用于研发目的的 API 测试的需求。物联网、人工智慧 (AI) 和机器学习技术等技术进步预计将在预测期内进一步促进 API 测试市场的成长。人工智慧和机器学习的进步,加上巨量资料的存在,正在为实验性人工智慧/机器学习部署创造新的机会。
例如,IndiaAI 是电子和资讯技术部、国家电子政府部门 (NeGD) 以及国家软体和服务公司协会 (NASSCOM) 的联合倡议,这表明增加技术投资、改善数位化基础设施建设、互联网普及正在推动主流业务,强调业界正在鼓励人工智慧大规模融入世界。因此,大多数企业中人工智慧的广泛成长和机器学习的激增预计将在预测期内推动 API 测试市场。
由于敏捷和 DevOps 方法的使用越来越多,API 测试市场预计将以相当大的速度发展。随着公司转向敏捷和 DevOps 方法来加速软体开发和交付,持续整合、部署和测试变得越来越重要。在这种情况下,API 测试至关重要,因为它可以确保 API 在开发过程的各个阶段顺利运作和整合。
当敏捷和 DevOps 强调快速迭代和频繁发布时,自动化 API 测试对于检验变更、寻找回归和维护整体软体品质至关重要。此外,透过自动化重复测试过程、在开发过程的早期发现错误以及促进快速回馈循环,API 测试可以加快团队的上市时间。
API 测试市场的成长预计将受到云端运算普及的显着影响,其中众多技术开拓预计将对 API 产生重大影响。为了支援云端环境的整合、安全性和可扩展性,随着组织将更多的业务转移到云端中,对强大的 API 测试解决方案的需求也随之增加。云端原生架构需要适当的 API 管理,以实现分散式服务和应用程式之间的顺畅通讯。
此外,云端基础的API 使企业能够更快地扩展、开发以及与平台和生态系统互动。这种模式凸显了拥有一个可以解决与开发和实作云端原生应用程式相关的特定需求和困难的 API 测试系统的重要性。因此,在各领域云端技术日益整合的推动下,API测试市场预计将持续扩张。
API 测试市场的潜在成长存在一些障碍。跨许多生态系统(包括混合云端和多重云端)维护 API 的复杂性是突出的挑战之一。由于这种复杂性,在不同端点之间维持统一的管治、安全性和效能要求通常是一个挑战。
由于对资料隐私、监管合规性和潜在安全漏洞的担忧,API 测试的采用进一步受到阻碍。各种API测试平台之间的整合困难和互通性问题进一步加剧了这些限制,我们需要一个全面的策略来成功解决这些问题并确保市场的持续成长。
预计北美将成为主要的区域市场。
与其他地区相比,北美地区的 API 测试市场预计在预测期内将占据更大的份额。已开发国家率先采用云端基础的安全解决方案等新技术,因此美国等国家在采用先进安全解决方案方面处于领先地位。
此外,Cognizant和IBM等主要市场参与企业的出现也是推动北美地区API测试市场成长的因素。此外,中国和印度等新兴经济体不断增长的需求预计将进一步推动亚太地区的市场成长。
The API testing market is evaluated at US$1,003.278 million for the year 2022 and is projected to grow at a CAGR of 17.29% to reach a market size of US$3,065.363 million by the year 2029.
API stands for Application Programming Interface which is a programming interface that connects applications, a messaging system, or a database. API testing is a method used to ensure API endpoints and data-sharing functions are working as expected. Moreover, API testing prevents data corruption in transit and unexpected failures in database or endpoint connectivity. Furthermore, for efficient API testing, a proper testing strategy is necessary because it ensures that the crucial components required for specific API testing have been taken into consideration.
The application programming interface testing helps to confirm that the application's APIs are interacting and saving data as intended. Further, it also tests each API and its functional area of the application impacted, and with every authentication, authorization, and encryption of data, API testing adds a layer of security testing which is a crucial benefit of using API testing. Moreover, nowadays data breaches have become very common which can result from the interception or rerouting of messages and data.
Hence, to prevent such unauthorized users from accessing application data and restrict the cases of data breaches, API endpoint security testing is a must. Such relevant uses of these testing methods are acting as key factors propelling the API testing market during the forecast period.
Rising investment in software development is also fueling the demand for API testing for R&D purposes. Advancements in technologies such as IoT, artificial learning (AI), and machine-learning technologies will further contribute to the growth of the API testing market during the projected period. The AI and machine learning advancements coupled with the presence of big data create new opportunities for the experimental adoption of AI/ machine learning.
For instance, the IndiaAI is a joint initiative of the Ministry of Electronics and Information Technology, the National eGovernance Division (NeGD), and the National Association of Software and Services Companies (NASSCOM) highlighted that the increased technological investments, more internet penetration coupled with improved digital infrastructure have prompted the massive inclusion of AI in mainstream operations. Thus, the extensive AI growth and surging machine learning in most businesses is expected to drive the API testing market during the forecast period.
The API testing market is anticipated to develop at a substantial rate due to the growing use of Agile and DevOps methodologies. Continuous integration, deployment, and testing are becoming more and more important as companies move to Agile and DevOps approaches to speed up software development and delivery. In this context, API testing is essential since it guarantees the smooth operation and integration of APIs at different phases of the development process.
Automated API testing becomes essential for verifying changes, finding regressions, and preserving overall software quality when Agile and DevOps emphasize quick iterations and frequent releases. Additionally, by automating repetitive testing processes, spotting errors early in the development process, and promoting speedy feedback loops, API testing helps teams achieve a faster time-to-market.
Numerous technological developments are anticipated to have a significant influence on the API The growth of the API testing market is expected to be greatly impacted by the spread of cloud computing. Robust API testing solutions are becoming more and more necessary as organizations move more and more of their operations to the cloud to support cloud environments' integration, security, and scalability. API administration must be done well in cloud-native architectures to provide smooth communication between dispersed services and apps.
Additionally, companies can expand, develop, and interact across platforms and ecosystems more quickly using cloud-based APIs. This pattern emphasizes how crucial it is to have API testing systems that can handle the particular needs and difficulties associated with developing and implementing cloud-native applications. Thus, it is anticipated that the API testing market will experience consistent expansion propelled by the growing integration of cloud technologies throughout various sectors.
There are certain obstacles in the way of the API testing market's potential growth. The complexity of maintaining APIs across many ecosystems, such as hybrid and multi-cloud settings, is one prominent problem. It is frequently challenging to maintain uniform governance, security, and performance requirements across diverse endpoints as a result of this complexity.
The adoption of API testing is further hampered by concerns about data privacy, regulatory compliance, and the possibility of security breaches. These limitations are further exacerbated by integration difficulties and interoperability problems across various API testing platforms, which calls for all-encompassing strategies to successfully solve them and guarantee the market's sustained growth.
North America is anticipated to be the major regional market.
The API testing market in the North American region is expected to hold a significant share during the forecast period as compared to other regions. Countries like the USA are leading the adoption of advanced security solutions as developed countries are early adopters of new technology like cloud-based security solutions, etc.
Moreover, the presence of key market players like Cognizant and IBM among others is yet another factor fuelling the growth of the API testing market in the North American region. Furthermore, increasing demand in developing economies such as China and India is expected to further fuel the market growth in the Asia Pacific region.
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