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7 top software development trends <\/h2>
In the recent report entitled, "100 Data and Analytics Predictions Through 2022," Gartner analysts offer their views on how data management and analytics trends will evolve over the next five years, and how those trends will impact software development. The report was prepared by analysts Douglas Laney, Guido De Simoni, Rick Greenwald, Cindi Howson, Ankush Jain, Valerie Logan and Alan Duncan.<\/p>

Application development predictions<\/h2>
Gartner analysts broke out their predictions in the area of software to two main themes\u2014application development and enterprise application software. Four trends will dominate application development, they say.<\/p>

Virtual codevelopers<\/h2>
\u201cBy 2022, at least 40 percent of new application development (AD) projects will have virtual AI co-developers on their teams,\u201d Gartner says.<\/p>

AI-enabled test set optimizers<\/h2>
\u201cBy 2022, 40 percent of AD projects will use AI-enabled test set optimizers that build, maintain, run and optimize test assets,\u201d according to the Gartner report.<\/p>

Hosted AI services<\/h2>
\u201cBy 2022, 30 percent of AD projects will incorporate hosted AI services; fewer than 5 percent will build their own AI models,\u201d Gartner analysts predict.<\/p>

Event-driven business process management<\/h2>
\u201cBy 2022, 50 percent of digital business technology platform projects will connect events to business outcomes using event-driven intelligent business process management suite (iBPMS)-oriented frameworks,\u201d Gartner says.<\/p>

Enterprise application software predictions <\/h2>
\u201cThe enterprise application market is again reinventing itself, headlined by the use of AI, conversational platforms and the exploitation of business network data. Technology business unit leaders need to prepare for new monetization tactics and new competitors through 2022,\u201d the Gartner analysts say. They offered the following three predictions in this area.<\/p>

Artificial intelligence and recruiting<\/h2>
\u201cBy 2021, 30 percent of high-volume recruiting activities (sourcing, screening, shortlisting and candidate interaction) will be done without human intervention, using innovative applications based on AI and data as a service (DaaS),\u201d Gartner says.<\/p>

Ubiquitous intelligent applications<\/h2>
\u201cBy 2022, \u2018intelligent\u2019 applications will be ubiquitous, but their usage for managing complex and custom processes will be less than 5 percent,\u201d Gartner predicts.<\/p>

Real-time analytics<\/h2>
\u201cBetween 2016 and 2019, spending on real-time analytics will grow three times faster than spending on non-real-time analytics,\u201d the Gartner analysts predict.<\/p>

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7 top software development trends <\/h2>
In the recent report entitled, "100 Data and Analytics Predictions Through 2022," Gartner analysts offer their views on how data management and analytics trends will evolve over the next five years, and how those trends will impact software development. The report was prepared by analysts Douglas Laney, Guido De Simoni, Rick Greenwald, Cindi Howson, Ankush Jain, Valerie Logan and Alan Duncan.<\/p>

Application development predictions<\/h2>
Gartner analysts broke out their predictions in the area of software to two main themes\u2014application development and enterprise application software. Four trends will dominate application development, they say.<\/p>

Virtual codevelopers<\/h2>
\u201cBy 2022, at least 40 percent of new application development (AD) projects will have virtual AI co-developers on their teams,\u201d Gartner says.<\/p>

AI-enabled test set optimizers<\/h2>
\u201cBy 2022, 40 percent of AD projects will use AI-enabled test set optimizers that build, maintain, run and optimize test assets,\u201d according to the Gartner report.<\/p>

Hosted AI services<\/h2>
\u201cBy 2022, 30 percent of AD projects will incorporate hosted AI services; fewer than 5 percent will build their own AI models,\u201d Gartner analysts predict.<\/p>

Event-driven business process management<\/h2>
\u201cBy 2022, 50 percent of digital business technology platform projects will connect events to business outcomes using event-driven intelligent business process management suite (iBPMS)-oriented frameworks,\u201d Gartner says.<\/p>

Enterprise application software predictions <\/h2>
\u201cThe enterprise application market is again reinventing itself, headlined by the use of AI, conversational platforms and the exploitation of business network data. Technology business unit leaders need to prepare for new monetization tactics and new competitors through 2022,\u201d the Gartner analysts say. They offered the following three predictions in this area.<\/p>

Artificial intelligence and recruiting<\/h2>
\u201cBy 2021, 30 percent of high-volume recruiting activities (sourcing, screening, shortlisting and candidate interaction) will be done without human intervention, using innovative applications based on AI and data as a service (DaaS),\u201d Gartner says.<\/p>

Ubiquitous intelligent applications<\/h2>
\u201cBy 2022, \u2018intelligent\u2019 applications will be ubiquitous, but their usage for managing complex and custom processes will be less than 5 percent,\u201d Gartner predicts.<\/p>

Real-time analytics<\/h2>
\u201cBetween 2016 and 2019, spending on real-time analytics will grow three times faster than spending on non-real-time analytics,\u201d the Gartner analysts predict.<\/p>

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Application development predictions<\/h2>Gartner analysts broke out their predictions in the area of software to two main themes\u2014application development and enterprise application software. Four trends will dominate application development, they say.<\/p>

Virtual codevelopers<\/h2>\u201cBy 2022, at least 40 percent of new application development (AD) projects will have virtual AI co-developers on their teams,\u201d Gartner says.<\/p>

AI-enabled test set optimizers<\/h2>\u201cBy 2022, 40 percent of AD projects will use AI-enabled test set optimizers that build, maintain, run and optimize test assets,\u201d according to the Gartner report.<\/p>

Hosted AI services<\/h2>\u201cBy 2022, 30 percent of AD projects will incorporate hosted AI services; fewer than 5 percent will build their own AI models,\u201d Gartner analysts predict.<\/p>

Event-driven business process management<\/h2>\u201cBy 2022, 50 percent of digital business technology platform projects will connect events to business outcomes using event-driven intelligent business process management suite (iBPMS)-oriented frameworks,\u201d Gartner says.<\/p>

Ubiquitous intelligent applications<\/h2>\u201cBy 2022, \u2018intelligent\u2019 applications will be ubiquitous, but their usage for managing complex and custom processes will be less than 5 percent,\u201d Gartner predicts.<\/p>

Real-time analytics<\/h2>\u201cBetween 2016 and 2019, spending on real-time analytics will grow three times faster than spending on non-real-time analytics,\u201d the Gartner analysts predict.<\/p>","saveContent":"

Application development predictions<\/h2>Gartner analysts broke out their predictions in the area of software to two main themes\u2014application development and enterprise application software. Four trends will dominate application development, they say.<\/p>

Virtual codevelopers<\/h2>\u201cBy 2022, at least 40 percent of new application development (AD) projects will have virtual AI co-developers on their teams,\u201d Gartner says.<\/p>

AI-enabled test set optimizers<\/h2>\u201cBy 2022, 40 percent of AD projects will use AI-enabled test set optimizers that build, maintain, run and optimize test assets,\u201d according to the Gartner report.<\/p>

Hosted AI services<\/h2>\u201cBy 2022, 30 percent of AD projects will incorporate hosted AI services; fewer than 5 percent will build their own AI models,\u201d Gartner analysts predict.<\/p>

Event-driven business process management<\/h2>\u201cBy 2022, 50 percent of digital business technology platform projects will connect events to business outcomes using event-driven intelligent business process management suite (iBPMS)-oriented frameworks,\u201d Gartner says.<\/p>

Ubiquitous intelligent applications<\/h2>\u201cBy 2022, \u2018intelligent\u2019 applications will be ubiquitous, but their usage for managing complex and custom processes will be less than 5 percent,\u201d Gartner predicts.<\/p>

Application development predictions<\/h2>
Gartner analysts broke out their predictions in the area of software to two main themes\u2014application development and enterprise application software. Four trends will dominate application development, they say.<\/p>

Virtual codevelopers<\/h2>
\u201cBy 2022, at least 40 percent of new application development (AD) projects will have virtual AI co-developers on their teams,\u201d Gartner says.<\/p>

AI-enabled test set optimizers<\/h2>
\u201cBy 2022, 40 percent of AD projects will use AI-enabled test set optimizers that build, maintain, run and optimize test assets,\u201d according to the Gartner report.<\/p>

Hosted AI services<\/h2>
\u201cBy 2022, 30 percent of AD projects will incorporate hosted AI services; fewer than 5 percent will build their own AI models,\u201d Gartner analysts predict.<\/p>

Event-driven business process management<\/h2>
\u201cBy 2022, 50 percent of digital business technology platform projects will connect events to business outcomes using event-driven intelligent business process management suite (iBPMS)-oriented frameworks,\u201d Gartner says.<\/p>

Ubiquitous intelligent applications<\/h2>
\u201cBy 2022, \u2018intelligent\u2019 applications will be ubiquitous, but their usage for managing complex and custom processes will be less than 5 percent,\u201d Gartner predicts.<\/p>

Real-time analytics<\/h2>
\u201cBetween 2016 and 2019, spending on real-time analytics will grow three times faster than spending on non-real-time analytics,\u201d the Gartner analysts predict.<\/p>

","saveContent":"

Application development predictions<\/h2>
Gartner analysts broke out their predictions in the area of software to two main themes\u2014application development and enterprise application software. Four trends will dominate application development, they say.<\/p>

Virtual codevelopers<\/h2>
\u201cBy 2022, at least 40 percent of new application development (AD) projects will have virtual AI co-developers on their teams,\u201d Gartner says.<\/p>

AI-enabled test set optimizers<\/h2>
\u201cBy 2022, 40 percent of AD projects will use AI-enabled test set optimizers that build, maintain, run and optimize test assets,\u201d according to the Gartner report.<\/p>

Hosted AI services<\/h2>
\u201cBy 2022, 30 percent of AD projects will incorporate hosted AI services; fewer than 5 percent will build their own AI models,\u201d Gartner analysts predict.<\/p>

Event-driven business process management<\/h2>
\u201cBy 2022, 50 percent of digital business technology platform projects will connect events to business outcomes using event-driven intelligent business process management suite (iBPMS)-oriented frameworks,\u201d Gartner says.<\/p>

Ubiquitous intelligent applications<\/h2>
\u201cBy 2022, \u2018intelligent\u2019 applications will be ubiquitous, but their usage for managing complex and custom processes will be less than 5 percent,\u201d Gartner predicts.<\/p>

7 top software development trends

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