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Breaking Analysis: Grading our 2021 Technology Predictions

Predictions are all the rage this time of year. On December 29th, 2020, in collaboration with Erik Porter Bradley of Enterprise Technology Research, we put forth our predictions for 2021The focus of our prognostications included tech spending, remote work, productivity apps, cyber, IPOs, SPACs, M&A, data architecture, cloud, hybrid cloud, multi-cloud, AI, containers, automation and semiconductors. We covered a lot of ground!

In this Breaking Analysis, as a warmup for our 2022 predictions post, we’ll review each of our predictions for this past year and grade the accuracy of our forecasts. 

#1 – Tech spending to increase 4% in 2021

Our first prediction was that tech spending would rebound to 4% growth this year – coming off what we had thought was a contraction in 2020. Best case was flat in 2020 depending on which data you choose. We correctly called the continuation of the remote work trend and the positive impact it would have on PCs and the like but we underestimated the shape of the spending bounce back curve. We highlighted in red some of the areas that didn’t happen to the degree we expected.

IDC has 2021 tech spending growth at 5.5% so we feel that, while we called the bounce back, it was more pronounced than we thought. In fact that IDC number we think is probably going to go up even higher – we’ll address that in our 2022 prediction. So B- for a grade on this one.  

#2 Thirty-four percent (34%) of workers will be remote by year end 2021

We made a precise call but we missed Delta and now Omicrom. We said that the number would settle at 34% remote by yearend, 2X historical norms. But the ETR data suggests it was 52% in September and it’s probably going to be somewhere in the 40-45% range by the end of year.

Roughly 75% of the workforce is still working either fully remote or in a hybrid model and hybrid work is probably going to be a dominant trend. So we’ll have to revisit our assumptions and framework on how we think about this and will do so in our 2022 predictions. But we’ll give this a C grade. It’s not a total fail because we accurately called the permanence of the trend; but the percentage was well off the mark thanks to the variants and cultural shifts supporting hybrid models. 

So not a great start for Erik and me but we rebound with the next one. 

#3 – Efficiency gains of 2020 lead organizations to double down on productivity apps including Docusign, Smartsheet & Twilio…Zoom growth to moderate & Teams becomes Ubiquitous

Our call was that the productivity increases seen in 2020 would lead organizations to double down on the productivity apps cited above. To measure this we said let’s look at the most recent quarterly earnings and gauge revenue growth as an indicator. Docusign was up 42%, Smartsheet up 46%, Twilio up 65%, Zoom growth was 35% down from 325%, confirming our layup call that Zoom growth would moderate. Microsoft Teams has never seen greater adoption. Hundreds of companies have 100,000 or more Teams users and thousands have 10,000 users or more.

So we feel like we nailed this and will give us an A+ on this one. 

#4 – Permanent changes in CISO strategies lead to share shifts in Security

On to our cybersecurity predictions.  It’s an area we’ve been making calls in for a couple of years now and we were really pleased looking back here. We said that identity, cloud and endpoint security would continue to benefit and named Crowdstrike, Okta, Zscaler and a few others that would benefit and substantially outpace the market growth.

Gartner has the security market growing at 11% for 2021. By comparison, Okta & Zscaler revenues last quarter grew 62% year over year and Crowdstrike 63%. Illumio raised $225M on a $2.75B valuation on the strength of its growth. In September, Akamai acquired Guardiocore for $600M as a ransomware protection play – paying a huge revenue multiple for the company. And it seems the companies listed on the last line of the slide above are all emphasizing their business shift toward subscriptions, SaaS, ARR and remaining performance obligations (RPO).

We feel very good about this look back and will take the A on this one. Not an A+ because we were too conservative on the growth of the newer companies. But pretty good nonetheless. 

#5 – Increased tech spending drives more IPOs, SPACs, M&A

You might feel this prediction was an easy call, but not really when you dig in. The prediction was that increased tech spend would drive even more IPOs, SPACS, M&A and perhaps that was obvious. According to SPAC Analytics, IPOs were up 109% this year. The “SPAC attack” continued– SPACs were up 109% in 2021 on top of a record 2020. And according to KPMG, M&A dollar volume was up 19%. Ok but there was much more underneath this prediction. We called out UiPath’s IPO – which was a lock but said also Automation Anywhere would also go public. UiPath did, AA didn’t. We did correctly call the Hashicorp IPO and Cloudflare grew revenue 219% last quarter but Akamai was not acquired. So the degree of difficulty on the overall prediction wasn’t high and the AA & Akamai events didn’t happen but we think this still deserves a B grade

#6 – In the 2020’s, 75% of large organizations will re-architect their big data platforms

As you know…data is one of our favorite topics and we’ve reported extensively on the successes and failures of so-called Big Data. We said that 75% of large organizations will re-architect their big data platforms in the mid term.

Now again, you may say this was an easy call, but you have to evaluate the prediction based on the underlying comments. The jury is still out on things like Snowflake’s data cloud; but we absolutely believe that it’s the right direction and a highly viable strategy. Competing with Snowflake however, you have Databricks taking a different approach. They come at the problem from the data science angle trying to now take on traditional BI…And Snowflake coming from the analytics space and moving into AI and data science. And we asked Benoit Dageville on theCUBE if there needs to be a semantic layer to bring these worlds together and he said “yes…”and that’s what he claims Snowflake is building. 

Meanwhile the big whales like Oracle continue to invest in their capabilities to try and eliminate data movement (e.g. MySQL Heatwave). Then there’s AWS taking a totally different approach to data where it gives customers maximum optionality of offerings. And you can’t forget Microsoft, Google and a spate of other database/data management vendors.

The reason this isn’t a layup call is many customers might continue to take an incremental low risk approach to data architecture due to years of technical debt. They may not take the steps that we predicted above, like a shift toward domain ownership and data product thinking and the re-organization of hyper-specialized technical teams…many of the principles put forth by data mesh. 

And we’ve said this change is going to take a number of years to play out but we’d start noticing in 2021 and that’s clearly been the case as we’ve reported on parts of JP Morgan Chase rethinking its data architecture, Hello Fresh and many others. 

So we grade the results of this prediction as still incomplete – but we think it’s trending in the right direction. 

#7 – The battle to define hybrid & multi-cloud escalates in 2021 & creates bifurcated CIO strategies

This next one is always a fun discussion.

AWS, the inventor of cloud, sees the world as bringing its APIs, primitives and programming model to the edge. The data center to AWS is just another edge node. The company says that in the fullness of time, all data will be in the cloud. And AWS would say all this hybrid talk of connecting on prem to a cloud – “that’s not cloud.” 

Then you have the likes of Cisco, Dell, HPE, etc. saying “hold on…Cloud is an operating model, not a place.” And AWS might say – “yeah…and AWS along with its customers is defining the cloud operating model.” And these other guys would say “no…actually you’re not– we are with our customers.” This battle 100% escalated in 2021 with the launch of Apex by Dell, HPE’s focus on GreenLake, Cisco’s as-a-service models and others, like IBM piling on. And then of course Oracle, which actually announced a true same:same public to on-prem hybrid capability 2 years before AWS announced Outposts. 

The other nuance here is a concept we introduced called “supercloud,” which refers to the notion that multi-cloud is not about compatibility on an individual cloud, rather it’s about abstracting the complexity of the underlying cloud(s) and building valuable cloud services on top of the hyperscalers. Some people didn’t like the term supercloud but we’ll continue to use it to describe this capability. And we’re seeing new examples like Goldman Sachs’ financial cloud running on AWS. So a supercloud to us is not an application or SaaS running on a single cloud, rather it’s an abstracted service that either spans multiple clouds…or in the case of Goldman Sachs, runs on a single cloud as a portfolio of data, tools, software and services made accessible as-a-service that floats on top of a single or multiple clouds. 

Regardless…we feel that this was a correct call given the evidence and will give ourselves an A- grade here…taking off points for the somewhat anecdotal and observational measurement system applied to this prediction. 

#8 – Cloud, containers, AI/ML, automation will power 2021 Spending 

We used the graphic above to both predict and measure this call. It plots survey data for the various technologies in the ETR taxonomy. Net Score or spending momentum is on the vertical axis and Market Share or presence in the data set on the horizontal axis. That dotted line is the 40% mark and anything above that on the vertical axis is considered highly elevated and these four areas have held serve this year based on recent ETR survey data. We predicted they would remain the big four and stay above that 40% line in the survey and and so this prediction came in correctly. We’ll take an A grade for this one too. 

#9 – UiPath & Automation Anywhere IPO but Microsoft remains a threat

Our penultimate prediction went back to automation as shown above. We came back to Automation saying the automation mandate accelerates in 2021 and goes mainstream.

We’ll give ourselves a B grade on this one, going back to the Automation Anywhere and UiPath go public predictions. AA as we said, didn’t and that was off. But we definitely saw companies leaning hard into automation in 2021. Microsoft, despite the fact that it doesn’t have as rich a feature set as UiPath and AA, remains a large presence. We spoke with many customers at the UiPath Forward IV event in Vegas this year who confirmed this statement but at the same time, many are using Microsoft Power Automate. And that product shows up as a leader in the Gartner Magic Quadrant so it can’t be ignored. But clearly the two leaders in RPA have a sizable product advantage relative to the legacy software players. 

Now if you look at the comment on Pegasystems – they cooled off as measured by their stock price. Revenue grew 13% last quarter on a year on year basis but perhaps we overestimated the company’s momentum but the company continues to grow at a double digit pace. So all told we did okay on this prediction. Correct call on the automation trend and the big software vendors piling in but the chance we took on AA was a miss. 

#10 – 5G rollouts push new edge/IoT workloads and necessitate new systems architectures

Our last prediction vectored into the trends in edge computing that will support new system architectures.

Much of this prediction related to the observation that Arm was dominating at the edge and would find its way into mainstream enterprise workloads. And that clearly came into focus in 2021 as AWS announced Graviton 3 and new inference and training silicon, based on Arm. Microsoft, Google, Alibaba, Oracle and others are all now shipping or readying to ship Arm-based systems. New storage, networking and security hardware systems are very typically including Arm-based processors to assist with offloads.

Finally, Intel is definitely under pressure as we predicted. Even Pat Gelsinger has admitted this is a turn around that will take at least five years. 

We’ll take an A- grade on this one, taking off points for the fact that 5G rollouts and edge are evolving and this is a longer term trend. But the underlying points we made on this slide are solid. Today’s edge computing, led by mobile, is pointing the way to new system architectures in the enterprise.  

Overall Grade for the 2021 Predictions

If we use the following scale:  A+ is 100 out of 100, A- is a 90, a B is an 85, B- is an 80 and a C is a 75 out of 100…and we exclude the incomplete prediction on data architectures, we average out to an 87.8 – so that’s a solid B+. 

The professor in us said this was a good effort as most of the predictions could be quantified and /or we tried to objectively score them. There were some layups in there so we may try to take more risks in our 2022 post. Or maybe not as it’s always good to have some locks in there to help the average– we’ll see. And it was good that we only had 1 or 2 multi-year predictions. 

What do you think? How did we do on these predictions? We welcome your input.

Next up – Predictions for 2022

We’re currently working on our 2022 predictions and will release those in the next few weeks. So stay tuned for that.

One note. Over the past several weeks we’ve been inundated with inbound emails, pitching us on various predictions and trends in these and other areas. The predictions folder we’ve compiled is eight inches thick with printed material!  

To our PR friends that have reached out, thank you. We would observe that many of the predictions we receive are observations of trends and not really predictions. Some are self-serving marketing statements– which is to be expected. For us, we feel predictions should be measurable so we can look back and say “did they get it right.” Granted there are gray areas so that’s why we used a grading system today. 

We received many really well done and thought-proving predictions. Here’s an example of a one we received that we feel is strong and very helpful. It’s from Equinix. Think of it as a bonus prediction from the community.

Within the decade, data centers will be powered by 100% renewable energy. Milind Wagle, CIO Equinix

We can’t promise to use any of the thousands of predictions we’ve received and we’ve tried to read them all. But the volume over the past week was so overwhelming we couldn’t keep up. We’ll try to scan them all before we do our 2022 predictions and hopefully this example helps folks understand the types of outreach that is most useful. 

Keep in Touch

Remember we publish each week on Wikibon and SiliconANGLE. These episodes are all available as podcasts wherever you listen.

Email david.vellante@siliconangle.com | DM @dvellante on Twitter | Comment on our LinkedIn posts.

Also, check out this ETR Tutorial we created, which explains the spending methodology in more detail.

Watch the full video analysis:

Note: ETR is a separate company from Wikibon and SiliconANGLE. If you would like to cite or republish any of the company’s data, or inquire about its services, please contact ETR at legal@etr.ai.

All statements made regarding companies or securities are strictly beliefs, points of view and opinions held by SiliconANGLE media, Enterprise Technology Research, other guests on theCUBE and guest writers. Such statements are not recommendations by these individuals to buy, sell or hold any security. The content presented does not constitute investment advice and should not be used as the basis for any investment decision. You and only you are responsible for your investment decisions.

Keep in Touch

Thanks to Alex Myerson and Ken Shifman on production, podcasts and media workflows for Breaking Analysis. Special thanks to Kristen Martin and Cheryl Knight who help us keep our community informed and get the word out. And to Rob Hof, our EiC at SiliconANGLE.

Remember we publish each week on theCUBE Research and SiliconANGLE. These episodes are all available as podcasts wherever you listen.

Email david.vellante@siliconangle.com | DM @dvellante on Twitter | Comment on our LinkedIn posts.

Also, check out this ETR Tutorial we created, which explains the spending methodology in more detail.

Note: ETR is a separate company from theCUBE Research and SiliconANGLE. If you would like to cite or republish any of the company’s data, or inquire about its services, please contact ETR at legal@etr.ai or research@siliconangle.com.

All statements made regarding companies or securities are strictly beliefs, points of view and opinions held by SiliconANGLE Media, Enterprise Technology Research, other guests on theCUBE and guest writers. Such statements are not recommendations by these individuals to buy, sell or hold any security. The content presented does not constitute investment advice and should not be used as the basis for any investment decision. You and only you are responsible for your investment decisions.

Disclosure: Many of the companies cited in Breaking Analysis are sponsors of theCUBE and/or clients of theCUBE Research. None of these firms or other companies have any editorial control over or advanced viewing of what’s published in Breaking Analysis.

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