How is artificial intelligence – and its prominent discipline, machine learning – helping deliver better business insights from big data? Let’s examine some ways – and peek at what’s next for AI and big data analysis.
Robotic Process Automation (RPA) by the numbers: 14 interesting stats
Let’s quantify what’s going on with Robotic Process Automation (RPA). These statistics speak to adoption, ROI results, job openings - and hint at what’s ahead
Robotic process automation (RPA) is already generating success stories in some organizations while simultaneously breeding skepticism and fear in others – likely unwarranted, in many cases. It’s a consistent pattern with new technology adoption.
But no matter your current individual or organizational attitudes toward RPA, a variety of industry numbers point to common ground: RPA adoption is simmering across a variety of industries, and it’s nearly hitting its boiling point.
[ Need a primer? Read also: How to explain Robotic Process Automation (RPA) in plain English and Robotic Process Automation (RPA) vs. AI, explained. ]
By Gartner’s count, for example, RPA software ranked as the fastest-growing enterprise software category in 2018, and the spending arrow continues to point up so far in 2019. Analysts and other sources indicate similarly exuberant views of RPA adoption, as companies seek new efficiencies to enable their digital transformation and other initiatives.
Just what is going on here? To give you some context on RPA, we’ve gathered some of the most compelling stats. (For even more context, check out our recent collection of RPA must-reads, covering everything from success metrics to common misconceptions.)
Let’s get to the numbers.
Robotic Process Automation (RPA) statistics to see
53 percent: More than half of respondents in Deloitte’s third annual RPA survey said they’ve already embarked on their RPA journey. Deloitte expects that figure to reach 72 percent in the next two years.
5 years: At the current rate of growth, RPA adoption will become saturated – meaning nearly every company will be using it in some form – in the next five years, according to Deloitte. In other words, RPA will reach near-universal adoption at some point in 2023, Deloitte predicts.
$846 million: The total amount spent on RPA software in 2018, according to Gartner. Competition among RPA software vendors for that spending was fierce. Gartner says that nine of the top 10 RPA software firms changed market-share position in 2018.
63 percent: 2018 spending on RPA software marked a whopping 63 percent increase from the previous year. By Gartner’s numbers, that made it the fastest-growing enterprise software category in the world last year.
$1.3 billion: This is not a short-term growth spike. Gartner projects that RPA software spending will total $1.3 billion in 2019. While RPA adoption – and the automation trend in general – transcends industries and other demographics, Gartner says banks, insurance firms, telecoms, and utilities are currently the leading adopters. The common ground among these firms? The need to maintain and integrate massive legacy IT investments while aggressively pursuing digital transformation initiatives.
$12 billion: Where there are widespread software implementations, service engagements will soon follow. Forrester predicts that the RPA services market will hit $12 billion by 2023. Forrester has previously projected that the RPA software market itself will grow to $2.9 billion by 2021.
78 percent: Like many technology waves, RPA adoption won’t be akin to flipping a light-switch on. Most organizations will expand their initial RPA implementation over time. 78 percent of respondents in Deloitte’s global survey who had already adopted RPA anticipate “significant” increases in their RPA investments during the next three years.
What about jobs? The RPA employment future looks bright: