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Gartner: Application and Infrastructure Middleware Software Market Revenue Will Reach $27 Billion in 2017

The worldwide application integration and middleware (AIM) software market continues to grow faster than the overall infrastructure software market, with revenue on pace to surpass $27 billion in 2017, an increase of 7 percent from 2016, according to Gartner, Inc.

"Established approaches to application infrastructure are too rigid, closed and cumbersome to support many digital business requirements," said Fabrizio Biscotti, Research VP at Gartner.

"Growth in mobile, big data, analytics, in-memory computing, cloud and Internet of Things initiatives is associated with digital business and requires application and integration professionals to invest in new AIM technologies," said Biscotti. "This in turn drives fresh integration approaches with new AIM technologies at their core, such as application programmable interface management and integration platform as a service."

Three main requirements are central to this shift. Firstly, digital organizations need an open, flexible and lightweight model that enables simpler and faster configuration, as well as deployment of both cloud and on-premises resources. In addition, they need platforms that support diverse combinations of resources, applications, data, processes and things from within and outside the organization. Finally, they need self-service middleware that can increase and decrease in scale rapidly.

"Cloud application infrastructure offerings are still maturing, yet already meet market demands for greater agility, scalability, productivity and efficiency better than their on-premises alternatives," said Mr Biscotti. "The older technology, however, often remains more suitable for the most demanding scenarios."

The AIM software market is split into mature and emerging segments. Mature segments are large in size, and most of the market is consolidated in the hands of a few established players. A high proportion of revenue is generated from maintenance fees and growth is slow, typically single-digit. Examples of mature segments include application servers and business process management suites.

The emerging segments include mobile app development platforms, in-memory data grids and platform as a service, to name a few. These segments are smaller in size, but exhibit double-digit growth rates as they grow rapidly in line with the growth of digital business and the market demand for increased agility and scalability. The segment shows a high level of fragmentation as new vendors fight for market share before the market consolidates.

"The emerging segments are bolstering the above-average revenue growth within the AIM software market," said Biscotti. "Organizations seeking competitive advantage through digital business need new approaches to application infrastructure and integration, a trend shown clearly in the fast-growing emerging segments."

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Gartner: Application and Infrastructure Middleware Software Market Revenue Will Reach $27 Billion in 2017

The worldwide application integration and middleware (AIM) software market continues to grow faster than the overall infrastructure software market, with revenue on pace to surpass $27 billion in 2017, an increase of 7 percent from 2016, according to Gartner, Inc.

"Established approaches to application infrastructure are too rigid, closed and cumbersome to support many digital business requirements," said Fabrizio Biscotti, Research VP at Gartner.

"Growth in mobile, big data, analytics, in-memory computing, cloud and Internet of Things initiatives is associated with digital business and requires application and integration professionals to invest in new AIM technologies," said Biscotti. "This in turn drives fresh integration approaches with new AIM technologies at their core, such as application programmable interface management and integration platform as a service."

Three main requirements are central to this shift. Firstly, digital organizations need an open, flexible and lightweight model that enables simpler and faster configuration, as well as deployment of both cloud and on-premises resources. In addition, they need platforms that support diverse combinations of resources, applications, data, processes and things from within and outside the organization. Finally, they need self-service middleware that can increase and decrease in scale rapidly.

"Cloud application infrastructure offerings are still maturing, yet already meet market demands for greater agility, scalability, productivity and efficiency better than their on-premises alternatives," said Mr Biscotti. "The older technology, however, often remains more suitable for the most demanding scenarios."

The AIM software market is split into mature and emerging segments. Mature segments are large in size, and most of the market is consolidated in the hands of a few established players. A high proportion of revenue is generated from maintenance fees and growth is slow, typically single-digit. Examples of mature segments include application servers and business process management suites.

The emerging segments include mobile app development platforms, in-memory data grids and platform as a service, to name a few. These segments are smaller in size, but exhibit double-digit growth rates as they grow rapidly in line with the growth of digital business and the market demand for increased agility and scalability. The segment shows a high level of fragmentation as new vendors fight for market share before the market consolidates.

"The emerging segments are bolstering the above-average revenue growth within the AIM software market," said Biscotti. "Organizations seeking competitive advantage through digital business need new approaches to application infrastructure and integration, a trend shown clearly in the fast-growing emerging segments."

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A new study by the IBM Institute for Business Value reveals that enterprises are expected to significantly scale AI-enabled workflows, many driven by agentic AI, relying on them for improved decision making and automation. The AI Projects to Profits study revealed that respondents expect AI-enabled workflows to grow from 3% today to 25% by the end of 2025. With 70% of surveyed executives indicating that agentic AI is important to their organization's future, the research suggests that many organizations are actively encouraging experimentation ...

Respondents predict that agentic AI will play an increasingly prominent role in their interactions with technology vendors over the coming years and are positive about the benefits it will bring, according to The Race to an Agentic Future: How Agentic AI Will Transform Customer Experience, a report from Cisco ...

A new wave of tariffs, some exceeding 100%, is sending shockwaves across the technology industry. Enterprises are grappling with sudden, dramatic cost increases that threaten to disrupt carefully planned budgets, sourcing strategies, and deployment plans. For CIOs and CTOs, this isn't just an economic setback; it's a wake-up call. The era of predictable cloud pricing and stable global supply chains is over ...

As artificial intelligence (AI) adoption gains momentum, network readiness is emerging as a critical success factor. AI workloads generate unpredictable bursts of traffic, demanding high-speed connectivity that is low latency and lossless. AI adoption will require upgrades and optimizations in data center networks and wide-area networks (WANs). This is prompting enterprise IT teams to rethink, re-architect, and upgrade their data center and WANs to support AI-driven operations ...

Artificial intelligence (AI) is core to observability practices, with some 41% of respondents reporting AI adoption as a core driver of observability, according to the State of Observability for Financial Services and Insurance report from New Relic ...

Application performance monitoring (APM) is a game of catching up — building dashboards, setting thresholds, tuning alerts, and manually correlating metrics to root causes. In the early days, this straightforward model worked as applications were simpler, stacks more predictable, and telemetry was manageable. Today, the landscape has shifted, and more assertive tools are needed ...

Cloud adoption has accelerated, but backup strategies haven't always kept pace. Many organizations continue to rely on backup strategies that were either lifted directly from on-prem environments or use cloud-native tools in limited, DR-focused ways ... Eon uncovered a handful of critical gaps regarding how organizations approach cloud backup. To capture these prevailing winds, we gathered insights from 150+ IT and cloud leaders at the recent Google Cloud Next conference, which we've compiled into the 2025 State of Cloud Data Backup ...

Private clouds are no longer playing catch-up, and public clouds are no longer the default as organizations recalibrate their cloud strategies, according to the Private Cloud Outlook 2025 report from Broadcom. More than half (53%) of survey respondents say private cloud is their top priority for deploying new workloads over the next three years, while 69% are considering workload repatriation from public to private cloud, with one-third having already done so ...

As organizations chase productivity gains from generative AI, teams are overwhelmingly focused on improving delivery speed (45%) over enhancing software quality (13%), according to the Quality Transformation Report from Tricentis ...

Back in March of this year ... MongoDB's stock price took a serious tumble ... In my opinion, it reflects a deeper structural issue in enterprise software economics altogether — vendor lock-in ...