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ITOA Market Expected to Grow to Almost $20 Billion by 2022

Research and Markets released the IT Operations Analytics Market - Global Forecast to 2022, reporting that the IT operations analytics market is projected to grow from an estimated USD 2.78 billion in 2016 to USD 19.84 billion by 2022, at a CAGR of 38.7% during the forecast period.

Major growth drivers for this market include the tremendous growth of IT operations data and adoption of BYOD and IoT in organizations across industries. The primary restraint for this market is the frequent changes happening in IT infrastructure and operations to meet the growing demands of changing business environments.

The on-demand segment of IT operations analytics by deployment type is estimated to grow at the fastest rate during the forecast period. Organizations are expected to rapidly adopt on-demand or cloud-based deployment for ITOA solutions in the near future. Cloud deployment offers multiple benefits to organizations, such as reduced cost on physical infrastructure, anytime accessibility, and effective monitoring of data. However, challenges such as legal regulations, data security, performance, reliability, transformation complexity, operational control, and data governance may hinder the rate of deployment of ITOA solutions on the cloud. Reduced total cost of ownership is a key factor that is expected to fuel the cloud deployment of ITOA solutions.

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ITOA Market Expected to Grow to Almost $20 Billion by 2022

Research and Markets released the IT Operations Analytics Market - Global Forecast to 2022, reporting that the IT operations analytics market is projected to grow from an estimated USD 2.78 billion in 2016 to USD 19.84 billion by 2022, at a CAGR of 38.7% during the forecast period.

Major growth drivers for this market include the tremendous growth of IT operations data and adoption of BYOD and IoT in organizations across industries. The primary restraint for this market is the frequent changes happening in IT infrastructure and operations to meet the growing demands of changing business environments.

The on-demand segment of IT operations analytics by deployment type is estimated to grow at the fastest rate during the forecast period. Organizations are expected to rapidly adopt on-demand or cloud-based deployment for ITOA solutions in the near future. Cloud deployment offers multiple benefits to organizations, such as reduced cost on physical infrastructure, anytime accessibility, and effective monitoring of data. However, challenges such as legal regulations, data security, performance, reliability, transformation complexity, operational control, and data governance may hinder the rate of deployment of ITOA solutions on the cloud. Reduced total cost of ownership is a key factor that is expected to fuel the cloud deployment of ITOA solutions.

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While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...

A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...