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RESEARCH, ANALYSIS & TRENDS














































            Worldwide spending on AI is expected


            to reach $110 billion in 2024



            Global  spending  on  artificial  intelligence  (AI)  is   to  deliver  insights  at  scale  (using  AI  to  support
            forecast to double over the next four years, growing   decisions and automation)."
            from $50.1 billion in 2020 to more than $110 billion
            in 2024.                                             Two of the leading drivers for AI adoption are delivering
                                                                 a better customer experience and helping employees to
            According  to  the  IDC’s  Worldwide  Artificial     get better at their jobs. This is reflected in the leading
            Intelligence  Spending  Guide,  spending  on  AI     use  cases  for  AI,  which  include  automated  customer
            systems will accelerate over the next several years   service  agents,  sales  process  recommendation  and
            as organizations deploy artificial intelligence as part   automation,   automated   threat   intelligence   and
            of their digital transformation efforts and to remain   prevention,  and  IT  automation.  Combined,  these  four
            competitive in the digital economy. The compound     use cases represent nearly a third of all AI spending in
            annual growth rate (CAGR) for the 2019-2024 period   2020.  Some  of  the  fastest  growing  use  cases  are
                                                                 automated  human  resources,  IT  automation,  and
            "Companies will adopt AI — not just because they can,   pharmaceutical research and discovery.
            but because they must," said Ritu Jyoti, program vice
            president,  Artificial  Intelligence  at  IDC.  "AI  is  the   The  two  industries  that  will  spend  the  most  on  AI
            technology  that  will  help  businesses  to  be  agile,   solutions  throughout  the  forecast  are  Retail  and
            innovate,  and  scale.  The  companies  that  become  'AI   Banking.  The  Retail  industry  will  largely  focus  its  AI
            powered' will have the ability to synthesize information   investments on improving the customer experience via
            (using AI to convert data into information and then into   chatbots  and  recommendation  engines  while  Banking
            knowledge),  the  capacity  to  learn  (using  AI  to   will  include  spending  on  fraud  analysis  and
            understand relationships between knowledge and apply   investigation   and   program   advisors    and
            the  learning  to  business problems), and  the capability   recommendation  systems.  Discrete  Manufacturing,



                                                              12                   January 2021: AI & Automation in Marketing
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