Home News The data on the state-of-data in 2021

The data on the state-of-data in 2021


Data is eating the world and there are numerous indicators of its ubiquitous presence in our lives and how it makes businesses and consumers both anxious and animated. Data dominates our deeds, debates, and dreams.

Here’s the data on the state-of-data in April 2021.

The future of work now…

73.1: percentage of households with annual income of $200,000 or more where a member of the household has switched to working from home [U.S. Census Bureau]

32.1: percentage of households with annual income between $50,000 and $74,999 where a member of the household has switched to working from home [U.S. Census Bureau]

43: percentage of senior executives worldwide citing “the new working model” as a top emerging risk, second only to cybersecurity (67% of respondents) [Gartner]

36: percentage of employees whose work-from-home time increased since January 2020 reporting an increase in productivity (35% reported no change) [Gartner]

43: percentage of employees whose work-from-home time increased since January 2020 and reporting an increase in productivity that cite flexibility in working hours as the factor enabling greater productivity [Gartner]

69: percentage of workers that said they were more likely to consider a new role that allows them to work from a location of their choice [Gartner]

37,000: the number of U.S. AI job postings in the first quarter of 2021, up more than 45% from the fourth quarter of 2020 [WSJ]

5: percentage of knowledge workers that used an NLP-powered virtual assistant daily in 2020 [Gartner]

33: percentage of HR professionals expecting AI and related smart data and automating technologies to have a significant impact in human resource management [CompTIA]

10: percentage of workers that will seek to trick artificial intelligence (AI) systems used to measure employee behavior and productivity [Gartner]

$481.6 billion: the size of the worldwide market in 2020 for technology that enables hyperautomation (an approach that enables organizations to rapidly identify, vet and automate as many processes as possible using technology such as robotic process automation (RPA), low-code application platforms (LCAP), artificial intelligence (AI) and virtual assistants), forecast to reach $532.4 billion in 2021 [Gartner]

“Covid has only accelerated the digital transformation, and automation is the cornerstone of digital transformation services”—Daniel Dines, co-founder and CEO, UiPath, Robotic Process Automation (RPA) startup whose revenues increased 81% in 2020 and its April 20, 2021, IPO, valued it at $36 billion

The future of AI now…

$327.5 billion: worldwide revenues for the AI market (software, hardware, and services) in 2021, growing 16.4% annually [IDC]

$2.5 billion: funding raised by startups focusing on AI in healthcare in the first quarter of 2021 [CB Insights]

90.3: percentage accuracy level of a deep learning system trained to identify suspicious pigmented lesions (SPLs), which can be an indication of skin cancer, performance comparable to expert dermatologists [MIT News/Science Translational Medicine]

2: the number of new and effective antimicrobial peptides (small molecules that can kill bacteria) that an AI system that automatically generates the design of molecules for new antibiotics discovered in “a matter of days” rather than the more typical “number of years” [Vox/Nature Biomedical Engineering]

45,000: the number of videos featuring 3,000 participants with various skin tones sharing their age and gender, a dataset released by Facebook with the goal of helping researchers improve fairness in their AI models [WSJ]

77: percentage of hospitality and travel brands prioritizing investments in intelligence technology solutions such as data management, analytics, machine learning, and AI [IDC]

17: percentage of digital marketing leaders that are using AI/ML broadly across the marketing function [Gartner]

19: percentage of respondents citing “lack of skilled people and difficulty in hiring” as the #1 barrier to enterprise AI adoption (18% cited data quality) [O’Reilly]

26: percentage of respondents describing their use of AI as “mature” (i.e., having revenue-bearing AI products in production) [O’Reilly]

“…the whole reason [AI] takes so long in the first place is that it’s not easy”— Erik Brynjolfsson, director of the Stanford Digital Economy Lab

52: percentage  of Asia/Pacific organizations reporting they are in the “earlier maturity stages,” in which AI is used in silos by select individuals/groups or for isolated projects [IDC]

The future of digital life now…

70: percentage of Americans that say that even after an explanation, they still didn’t get NFTs very well or at all; still, 42% say they saw NFTs as a legitimate form of art collection [Bloomberg]

59: percentage of Americans that believe NFTs will be the next big thing, while 33% of Britons think it is just a fad [piplsay]

“When the [NFT] bubble bursts, it’s not going to wipe out this technology. It’s just going to wipe out the junk”—Beeple (artist Mike Winkelmann whose NFT-certified digital mosaic piece sold for $69 million)

18: percentage of workers that consider themselves to be digital technology experts since Covid-19 (over half consider themselves proficient) [Gartner]

7: percentage of U.S. adults that say they do not use the internet (25% of adults ages 65 and older), down from 48% in 2000 [Pew]

$1 billion: earnings for new Airbnb hosts with only one listing who welcomed their first guests from the start of the pandemic to early 2021 [Airbnb]

80: percentage of industries expecting data disruption, on average, across all processes within the next four years [nxt statista]

7: the factor by which organizations with chief data officers are more likely to generate external monetary value from their data than those without one; and they are 3x more likely to generate other forms of commercial value from exchanging their data externally with business partners and others [techrepublic]

“Data is now at the center of global trade… Digital technologies trafficking in data now enable, and in some cases have replaced, traditional trade in goods and services… The global economy has become a perpetual motion machine of data: it consumes it, processes it, and produces ever more quantities of it”—David H. McCormick and Matthew J. Slaughter

41.3 million: the number of smart home units shipped in Europe in Q4 2020, with spending growing 12.2% annually [IDC]

“We’ve been talking about home robots coming for a long time, and all we have so far is the vacuum cleaner”—Jeff Burnstein, President, Association for Advancing Automation

74: percentage of HR professionals reporting concern over workplace digital divides [CompTIA]

92.3 million: percentage of Americans aged 14 and older that made an in-store mobile payment in 2020 (40.1% of smart phone users) [eMarketer]

112: the factor by which cross-border data flows grew from 2008 to 2020 [Foreign Affairs]

“As a supply-chain provider, as a logistics provider, we are very much in the data business”—Mario Harik, CIO, XPO Logistics

900: the number of internet users in Tumbler Ridge, British Columbia, that lost service for 36 hours when beavers chewed through an underground fiber cable [arstechnica]

75: percentage of organizations in Asia/Pacific expecting printed page volume to decrease over the next two years [IDC]

77: percentage increase in global demand for services from Amazon Virtual Assistant [Fiverr/Calcalistech]

“People are getting confused about the meaning of AI in discussions of technology trends—that there is some kind of intelligent thought in computers that is responsible for the progress and which is competing with humans. We don’t have that, but people are talking as if we do”—Michael Jordan, University of California, Berkeley

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