Bots shift towards AI and garner $24 billion of investment

While the manufacturing sector is increasingly using physical robots to improve industrial processes, the market for virtual bots or “chatbots” is also gaining serious traction in the space where humans and computers interact. Bots are essentially software technologies that automate tasks and enable effective human-computer interactions.
Bots are increasingly taking over customer service operations in businesses around the globe, while technology giants like Microsoft, Google, and Facebook are getting in on the game with their own bot platforms.
And the bot market is starting to attract big bucks too. Recent figures indicate that 180 bot-related companies have attracted $24 billion in funding to date, with hundreds of other bot companies vying for investor dollars.
Chatbots are popping up in places where people already communicate, primarily messaging apps, where they provide a user-friendly conversational interface. The actions that bots facilitate include work-related tasks like to-do lists, taxes, and setting up meetings.
The technology is also used by businesses looking to automate customer service requests, such as ordering food remotely or handling reservations.
One of the main reasons that bots are growing in prevalence is the dramatic improvements in artificial intelligence (AI) software capabilities. The massive gains in AI power are allowing computers to process language better than ever before, enabling much improved conversations with humans. And this increased language capability is attracting not only attention, but serious investment funds. Recent research has revealed several interesting new segments of the bot market that have drawn investors in.
The segment landing the lion’s share of investment money to date is bot developer tools and service providers, which has attracted $20 billion in investment since 2010. (All of the figures mentioned below and throughout are part of the VB Profiles data; subscription is required to access full data set.)
Other bot-related areas of opportunity that have attracted significant funding over the past six years include: messaging platforms ($2 billion); infrastructure/connectors/shared services ($1 billion); AI tools ($501 million); personal assistants ($443 million); virtual agents/customer service ($187 million); bot discovery ($121 million); team communications/productivity ($52 million); and analytics ($2 million).
When looking at which firms are attracting the most bot-related funding, the top firms make an interesting mix. Of course, the clear 800-pound gorilla of the segment is Facebook, with a dominant $18.3 billion in funding.
Other firms follow far behind, with Line the next best funded in the bot space at $1.3 billion. Continuing on down the list, the companies include those focused on messaging, customer service, or business productivity.
The companies rounding out the top ten firms attracting bot-related funding are: Slack ($540 million); Twilio ($484 million); Stripe ($440 million); MZ ($390 million); Foursquare ($207 million); Interactions ($135 million); Kik ($121 million); and Skype ($77 million).
An example of how bots are growing in prominence and diversity can be seen in Kik Messenger, which launched a bot store last year to cater to its 275 million registered users. Its platform includes a wide variety of bots that can assist with everything from sending people Vine videos to soliciting makeup suggestions from cosmetics store Sephora.
Another interesting case is MZ, which created the Game of War mobile game that has topped the sales charts. In a strange but true divergence, MZ constructed a bot platform that can run New Zealand’s entire transportation ecosystem.
The increasingly attractive bot space has sparked over 400 companies to target the market potential of this new technology — and the accompanying investor interest. However, VentureBeat research analyst Jon Cifuentes predicts many of these bot startups will succumb to Darwin’s law, as the weak players are weeded out.
“Bots that matter — and therefore, are relevant and have a chance of sticking — are only as useful as the service they connect a user to,” says Cifuentes.
“The land grab for bot attention means launching a bot as quickly as you can,” he says. “But those crapbots won’t stick, and the tools popping up to service these junkbots won’t either.”
Though there is a rush of interest by companies looking to jump on the bot bandwagon, eventually quality bots will stand out above the field of the poorly designed junkbots. But it will take significant investment to build bots that significantly make our lives easier.
“It’s hard as hell to build a good bot, mostly because it must invoke a relevant and useful service to be any good,” says Cifuentes. “That takes a good idea, a good team, and most likely capital resources to accelerate it.”
Despite the advances in AI technology, today’s bot systems are still not able to demonstrate human-like understanding of open-ended language. But as bot technology continues to improve, Cifuentes says there will be ongoing, healthy debates around designing conversational products that are useful and relevant, just as artificial intelligence gets better and better at talking us through this madly evolving world.