Picture of AI: Show me the Money Which sectors will make a killing in AI Forecast 2017 - 2023

AI: Show me the Money Which sectors will make a killing in AI Forecast 2017 - 2023

September 2018


During 2019 we will begin to see the beginning of clearly successful markets for AI, dis-tinct and precise and separate. Some of the more obscure uses of AI will turn out to be dead ends, at least for the current economic cycle, while others pick up momentum and become part of “best practice” everywhere.


In terms of investment we suspect that the AI VC boom will yield rather poor results, with this being akin to a bubble bursting – it will drag down many AI living funds – with success being concentrated in large conglomerates who have acquired or built AI tech-nology, and teams – and a handful of specialist new players who will sweep up most of a sector between them.
This report is about identifying those sectors, and the players who will survive, giving prior warning for anyone invested in the wrong markets. All we have done is measure the market size of respective segments – cybersecurity, finance, manufacturing etc… to-day and look at how rapidly they are growing and build a “heat map” of the success areas of AI, both now and in the coming 5 years.

What we find is an AI market that will only reach $39 billion globally by the end of 2023. The vertical sectors of cyber security, automotive, healthcare manufacturing and finance and insurance will thrive with the total vertical markets reaching $24.8 billion by 2023 of which cybersecurity will be the largest with revenues of $7.2 billion.

Two major horizontals – machine vision and natural language processing - will reach $14.1 billion and $15.0 billion respectively, totaling $29 billion between them. However we calculate that some 50% of each of these markets will be overlapping with other ver-tical markets, so they will only add an additional $14.5 billion to the total, in order to avoid double counting. This is because many vertical market systems will use machine vision and NLP as part of their approach.
This leads to a total revenue for AI of $39 billion globally, with 35% of the spend in the US by 2023, and Asian markets coming up fast, with 34% of spend by 2023, and Europe on just 26%.

Throughout this report we have identified areas where China or the US are ahead of one another, and we see the two regions neck and neck in overall AI spend by the end of 2023, after early AI leadership in the US.



Who should buy this report and why?

This is the dotcom boom all over again. If your company is not in AI, then it will struggle to get funding but this means that all manner of improbable AI businesses have been set up and they are likely to offer no return for inves-tors and will begin to fail next year. Anyone invested in AI, thinking of becom-ing invested in AI or in a VC fund that has AI investments, should read this re-port. Anyone in enterprise who is looking to AI for a solution should use this report to select their AI partner, and anyone in an AI vendor, should use this report as a guideline for exist timesframes

This Report will;

• Explain which sectors will thrive in AI and why and in which geographies

• Explain the fundamentals of how AI technology works

• Show the likely timeline for success or failure in existing AI investments

• And it bursts the bubble on all the forecasts which have suggested that most of the world’s economy will be driven by AI within ten years.

• Lists the top five likely technology winners in each sub-sector globally


If you want Realism in AI investments—this is the only report which bases its forecasts in what is happening today, rather than blue-sky guesswork.