Summary Bullets:
• Cybersecurity providers will be expected to drive thought leadership in various regulatory bodies to address future cyberattacks on AI.
• Innovation in R&D will entail encryption and validation of AI/ML models through XDR as well as close integration of AI/ML models to SIEM and SOAR.
AI will Demonstrate Strong Growth Across Multiple Consumer and Vertical Settings
It’s pleasing to see artificial intelligence (AI) finally overcome many historic challenges around computing power and commercial implementation. And recent advances around the improvement of algorithms (e.g., Google’s AlphaGo, OpenAI’s GPT-3) as well as increasing computing power have accelerated AI across a number of potential applications and use cases. Use cases stem across automotive (e.g., computer vision and conversational platforms), consumer electronics (e.g., implementing virtual assistants, authentication via facial recognition – i.e., Apple’s FaceID), and ecommerce and retail (e.g., voice-enabled shopping assistants, personalized shop). Accordingly, based on GlobalData forecasts, the total AI market is demonstrating strong growth (includes software, hardware, and services) and will be worth $383.3 billion in 2030, having grown at a compound annual growth rate (CAGR) of 21.4% from $81.3 billion in 2022. As a result, many of these use cases will be across a number of consumer and business application settings.
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