Cyber security technology is one of investors’ dearest investment channels of the second decade of the millennium. In the wake of unending attacks on political bodies, the most famous and recent of them have been directed at the Democratic Party in the U.S and the French President, and on corporations such as Yahoo, Lockheed Martin, Sony, and Target. It is undeniable that cyber tech is here to stay.
As attackers change and improve their methods to better cope with cybersecurity weaponry, new technologies are constantly being developed, thus justifying an unending wave of new startups and a massive flow of funding into them. But now that we’re a few years into the cyber trend, investors are starting to look into their books in search of a paycheck.
It is possible that this time has arrived, and the industry is going to soon witness a few interesting deals. We at Zirra, a research company focused on the private tech market, have found several indicators which support this trend:
1. The market capital of cyber companies is on the rise again: After a long “winter,” Symantec’s stock is up by 35% since January 2016, CheckPoint is up by 26% and Fortinet is up by 28%; Fireye is up finally, after a 48% cut in stock price from the beginning of 2016 to the lowest point this March. Their stock has gained about 36% since then. The last year and a half was also hard on Palo Alto Networks who has seen a gradual decline in stock price since January 2016, but in the first days of May the company’s price is up by 5%; CyberArk’s stocks, too, experiencing its best times in almost two years.
Source: Google Finance
Rising stock prices improve the appetite for acquisitions in a couple of ways:
A general optimistic, constructive sentiment.
The acquirer can better tolerate a temporary decline in the stock’s price inflicted on it during the hours and days following a deal.
Investors can now demand higher prices for the startups they are selling, after a long period of sitting in the middle.
2.Too many companies were established in a very short time, but only a fraction will get acquired: There is no argument that there has been a significant amount of money invested in the cyber security segment in recent years. The number has almost quadrupled from 2012 to 2015, and is just short of $4 billion. But, it is not the total funding that worries the investors, so much as the number of companies that were funded in total.
From mid-2014, there were nine quarters in which 90+ companies were funded in each. Quarters with 100+ companies appeared five times. In comparison, the hot area of AI surpassed 100 companies per quarter only at the beginning of 2015. But, whereas investors keep pouring more and more money into AI, that now reaches around 170 companies per quarter, cyber security had cooled down to 76 companies in the last quarter of 2016,according to CB Insights.
The funding could be well explained if there were enough exits to justify it. But after two great years, 2014 and 2015, that have produced 107 and 124 exits and 11 IPOs together, 2016 was a tough year, with only 88 exits and one IPO. Following the good news coming from New York stocks exchanges, VCs are interested in selling some of their companies, and when valuations are going up again, it will be easier to do so.
Source: CB Insights
Oren Bar-On, senior partner at EY,told the press that 2017 is going to be harsh on many startups in the cyber security industry. Startups that had raised small financial rounds of $1-2 million in the last two years will find it quite challenging to complete bigger rounds now. Therefore, it’s possible we’ll see a good deal of small and medium sized acquisition deals.
Who will be the next cyber company to be acquired? Zirra put together a list of some of the most interesting cyber security startups. Click on their names to get the full Premium Insight Reports.
TrapX is a deception-based security firm that detects, analyzes and defends new zero-day and APT attacks in real time.
Inpedio offers mobile security solutions through Mercury, its flagship solution, using multi-layered deep defense security that covers the device, network connectivity, and communications from within
Tufin automates and accelerates network configuration through security policy orchestration. The company’s proprietary technology enables IT organizations drastically to reduce the time and cost to implement network changes. Specializing in the management of firewalls, routers switches, and load balancers, Tufin also allows customers to automate daily configuration changes to all network security devices.
Upguard, formerly known as ScriptRock, has developed the Cybersecurity Threat Assessment Report, that provides in-depth and actionable intelligence on the preparedness for enterprises. UpGuard allows the user to monitor all server, network device, and cloud app configurations.
Alcide is planning to build a network security platform from the ground up for modern, large-scale data centers that leverage multiple technologies and micro-service architectures.
Ensilo was founded on the recognition that external threat actors cannot be prevented from infiltrating networks, and instead focuses on preventing the theft and tampering of critical data in the event of a cyber-attack. It is doing so by blocking in real-time ant data-related malicious activity.
Endian provides open source network security and remote connectivity solutions under their brand: Unified Threat Management. The system, comprised of hardware, software and virtual appliances provides gateway security that includes firewall, VPN, web and email security services to networks in all sizes.
A.I will be present in every startup’s toolbox, Apple will launch a VR product, mid-size autonomous vehicles (20-30 passengers) are going to become a focus area, and the on-demand crunch will deepen in 2017. Zirra asked nine VC investors to predict how 2017 is going to look in their field of expertise: A.I, AR/VR, automotive, drones, on-demand, voice-based assistance, FinTech, cyber-security, and marketing tech. After reading them, you will be surprised to learn that future has never seemed so close.
There is not doubt 2016 was the year of AI, and more specifically, Deep Learning. Google’s DeepMind win against legendary Go player, Lee Sedol, was a defining moment for the industry and created a lot of buzz around AI. However, I believe we are still just at the early beginning of a large AI revolution that is going to impact almost any business out there. We are going to continue to see AI further progress in 2017 and the years to come. The building blocks of AI are still rough today and it’s too difficult to use. Many companies are trying to solve this by building anything from dedicated GPUs, accelerators, and cloud computing infrastructure for deep learning, to new and enhanced software libraries and tools for AI. In some ways, AI is following a course similar to that of big data in its early days. At the time, being a “big data” company was perceived as an advantage. But in the long run, it turned out that every good company needs to leverage “big data” to stay competitive. Similarly, we are seeing many new startups that claim their advantage is in deep learning. But over time, I believe every company will leverage AI in some shape or form.
In 2017, a clearer distinction will be drawn between AR and VR. While some underlying technologies are shared between the two types of experiences, the use-cases, hardware, and content are completely different. AR will continue to revolve and evolve around productivity and gaming, while VR is driven by the content. Quality content will drive more users to VR experiences, such as games and short-form.
There’s nothing virtual about VR in 2017. For those attending CES this year, either in person or virtually, VR was very real and immersive. Not all pieces are in place. The main challenges of VR remain the availability (and discoverability) of content, the wide performance gap between high-end devices and low-end gear, and the price of the top-quality experiences – especially as VR peripherals get into the mix. 2017 will mark the entry of Apple into the arena, focused on content creation after acquiring and integrating PrimeSense and Metaio. Facebook will double-down on content distribution, no longer through the Oculus brand. 2nd generation of standalone devices by HTC, Sony, and Oculus will be connected (rather than tethered), new entrants will enable both consumption and acquisition, and in general the 2017 VR gear should be more appealing to the masses.
2017 will not be a year of mass adoption, but VR will become part of more and more people’s life, especially with WebVR and Mozilla A-Frame adoption. Hand-tracking technologies will take a while longer to get integrated into the head-gear, so regardless of autonomous driving, 2017 will be predominantly “hands-free.”
Connectivity and electric vehicles (EV) are going to emerge as the strongest innovative trends in 2017-8 and they are a pre-condition for any self-driving car model; connectivity is a more immediate trend while EV a longer term one. Among car manufacturers, Tesla has an advantage due to its achievements in connectivity and EV, so it can learn and adapt faster.
In the meantime, a war is going on between various sensor types, with radar vs. lidar (a laser based radar) war intensifying as selections for 2020-21 models for all OEMs are all going to be done during already this year. Also in 2017 the fate of V2X (Vehicle To Everything communication) is going to be determined either as a must component in every vehicle or vanish like the WiMax did.
Public transportation solutions based on mid-size (20-30 passengers) autonomous vehicles are going to become a focus area in 2017 due to the economic benefits. From a technical point of view, they have already purchased knowledge of fixed routes. Five or Six OEMs are going to run live trials in that newborn technology and they are about to learn it would take them another one or two years to perfect the technology.
Specifically, for Israel in 2017 we will see one or two mid-size acquisitions and more OEMs and first tier technology players opening offices here.
2017 will be a defining year for drones as the leading players in the industrial, consumer, and military sectors continue to crystallize market segment ownership.
While the rapidly expanding consumer market will be increasingly dominated by leading manufacturing giants, a growing trend of “drones for industry” will bring a new diversity into the marketplace.
In terms of applications, while photography is persistently the main application for drones, additional uses in agriculture, mining, and industrial inspection will move further from being a disruptive method and closer to being a common workplace tool. Provision of commercial aerial data will continue to come from small “drone-as-a-service” providers while a select few enterprises will choose to establish in-house resources for drone operation. Although drone delivery applications are creating a lot of buzz, there are still obstacles involving regulations that are not likely to be resolved in 2017.
Meanwhile, the now infant model of full-cycle drone automation, or “drone in box” model, will begin to scale as a permanent onsite tool for industrial use. Some of the growing industries to adopt drone operations include: mining, oil and gas, seaports, power plants, and other energy companies. The agile drone companies who can efficiently provide analyzed data to these industrial players will win.
As drone giants begin to integrate horizontally, prospects for nascent drone startups become increasingly slim, both with respect to investment, intellectual property, and competition. Therefore VC investments in the space will likely decline in 2017 while large enterprises and consumer brands will step in to dominate the investment in the space. Equally, we will start to see more M&A activities in 2017.
Last but not least, regulation continues to serve as a major stepping stone on the way to infuse drones into industries. We predict 2017 will introduce some important milestones in terms of regulation of automated drone systems in the industrial space.
2016 was the year cyber-attacks dominated the headlines, exposing vulnerabilities in businesses and industries. The growing sophistication of cybercrime-as-a-service business models led to more data breaches, as well as botnet and malware distribution attacks. New types of threats emerged, such as ransomware and DDoS attacks leveraging IoT devices. We expect to see the following trends take center stage in 2017:
Ransomware will continue to be a common attack method and evolve to target enterprises, critical infrastructure, and cloud-based data centers. The attacks we’ve seen in 2016 will be more frequent in 2017 to abuse IoT devices, mobile devices (including iOS), and legacy critical infrastructure systems, while new cyber-security vulnerabilities will arise from smart cars.
AI will be incorporated more broadly to accurately predict malicious behavior and attack vectors. More smart and comprehensive threat intelligence solutions will be used to remediate attacks, and isolation methods will be leveraged to create secure by design IT infrastructure.
Many people talk about 2016 as a “tough” year, but it was possibly even worse for the on-demand category. If in 2014-15 we saw a surge in on-demand investing, 2016 became the time of disillusionment, as investors realized that not everything is right for on-demand. Heading into 2017, we are going to see this trend continue, as the real on-demand winners will start to emerge. Who will be those winners? It’s not enough to be the “uber of something,” as it’s all about unit economics, and the ability to show long-term sustainable profits. The 2017 winners will be determined based on 3 main criteria:
Ability to compete with the big boys – butmostly with Amazon. As Amazon enters the on-demand market, they are best positioned to win, leaving specific verticals and niches to competitors. Startups now have an option to improve unit economics with additional products and services. Uber does it with surge pricing, but it can be better if there are upsells at high profit-margins and if there is an increased life-time-value through high-switching-cost. What differentiates a service that requires users to stay and not move to a competitor?
2017 will truly separate the on-demand men from the boys. Those who will win with great unit economics will generate enormous value.
2017 is shaping out to be the year where voice based assistants make the leap from novelty to main stream phenomena and Amazon has the front seat to take advantage of it. Amazon has gotten to an early success and has momentum on its side. It has come out with the first, powered byAlexa – Echo and already sold over 5 million devices.
A key factor driving this success is the network effect for the adoption of Alexa created by Amazon opening access to third party applications, called Skills, and there are over 7,000 of those. Amazon also licensed Alexa to other hardware manufactures to build their own Alexa powered hardware. Walking around at CES last week, I encountered numerous Alexa-powered devices including TVs, speakers, lamps, cars, and others. Ben Thompson, in his blog “Stratechery” calls Alexa the operating system of the home. He also noted that Amazon has an obvious business model for this (consumers ordering more stuff from Amazon) while Google might find it hard to monetize voice interface on this platform.
With their early success, we’ve seen the competition heat up. Google has come out with the Google home which can compete based on their AI and knowledge graph prowess. It presented its API only this past December so there has been no network effect yet.
Google and Apple made the bet that the phone will be the center of the home but that is not happening so far. Apple has not come out with a Siri for the home yet but many expect them to do so. It will be great to see how this plays out in 2017.
A platform shifts creates an opportunity and voice first startups is already becoming a thing. The proverbial “Shovels and Picks Strategy” is already coming into play with a few startups building toolkits to create such voice application but the bigger opportunity in my mind is to come up with a delightful new experience that delights users similar to what Shazam did in the early days of the iPhone.
The financial services sector is bracing itself for an unprecedented period of disruption. The days of standing in line at a bank are long gone for many as technological innovations are forcing everyone from banks to small businesses to consumers to adapt. In 2016, our Blumberg Capital FinTech survey found that the majority of respondents believe traditional financial institutions are no longer meeting their needs and nearly 75 percent agree that FinTech provides everyone with more power over their finances. At Blumberg Capital we believe in the power of FinTech and that is why we partner with forward thinking banks and invest in the companies at the center of the FinTech revolution. These banks and companies are providing consumers and small businesses access to new financial products and services that are helping save money, make smarter decisions, and operate more efficiently.
In 2017, we expect to see continued mass adoption of FinTech and a focus on a security for financial institutions. Both startups and incumbents need to adopt new technologies to meet the demands of the consumers and business owners while providing adequate cybersecurity in an increasingly dangerous environment. We see the intersection between cybersecurity and FinTech becoming more prominent as cyber threats continue to become more complex.
As we kick off 2017, one specific vertical of technology is expected to see a particularly explosive year – marketing tech. While AI continues to develop and evolve, predictive technology is already reaping benefits and will continue to do so throughout the year with more robust and comprehensive solutions.
This will also be a huge year for personalization, specifically when it comes to account based marketing, as well as hyper-targeted advertising using more advanced adtech tools and cross-channel personalization.
Other fields to benefit from AI include bots, which will affect not only B2C campaigns but will have a deep impact on B2B as well. Finally, we will see much more advanced analytics and quantification of every dollar spent combined with much more automation, in both sales, marketing, and end to end processes within the organization.
