AI in 2022: Stats. Infographic
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Did you know that the use of Artificial Intelligence (AI) can increase business productivity by 40%? Nowadays, more and more companies are looking for different ways of implementing this technology as they want to succeed and offer better customer experience services. We’ve prepared an infographic for you to be aware of the current state and tendencies of AI.
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AI in 2022: Stats. Infographic
- 1. Artificial Intelligence Statistics 2022 Machine Learning Natural Language Processing Predictive analytics Computer vision Voice recognition Optical Character Recognition Machine Learning Market Segments by Region: Potential Incremental Value from AI over Other Analytics Techniques, % Artificial Intelligence VS COVID-19 Impact of Pandemic on AI Investments State of AI Adoption: AI Investments and Pay-Off During Pandemic Current AI Adoption Challenges Artificial Intelligence Market Segments by Technology indatalabs.com Big on Data Science & AI McKinsey MarketsAndMarkets Accenture Deloitte 56% 84% 35% survey respondents who report AI adoption in at least one function. that’s how many business executives count on AI to achieve their growth objectives. the size of the global Artificial Intelligence market by 2026. the size of the global Artificial Intelligence market in 2021. share of companies that have a comprehensive, company-wide AI strategy. $309,6 billion $58,3 billion Jerry O’Dwyer Global Consulting Strategy, Analytics and M&A Leader at Deloitte “Data is growing fast and technologies—AI, ML, RPA, and so on—if applied smartly have the potential to help you validate, structure, and better use it. ” Greece BusinessOverBroadway Israel Netherlands United States UK and Northern Ireland Germany Australia France China Taiwan 63 57 56 54 54 53 52 52 51 49 20% 0% 40% 60% 80% Artificial Intelligence Market Segments by Solution: GrandViewResearch Hardware Software Services Travel Transport and logistics Retail Automotive and Assembly High Tech Oil and Gas Chemicals Media and Entertainment Basic Materials Agriculture Consumer Packaged Goods Banking Healthcare Public and Social Sectors Telecom Pharmaceutical Products Insurance Advanced Electronics Aerospace and Defense 128 89 87 85 85 79 67 57 56 55 55 50 44 44 44 39 38 36 30 McKinsey 20,000+ number of CT scans that were analyzed since the pandemic outbreak by AI in the European Union. number of Covid-19 false negative cases that were diagnosed with an AI system. 68% 96% EuropeanCommission NCBI Alizila AI accuracy rate claimed by the Alibaba DAMO Academy, when recognizing coronaviruses. 24/7 that’s how often Chinese hospitals use AI- powered robots for drug distribution, food, and household goods delivery, treatment to help fight COVID-19. 26 potential vaccines against COVID-19 were predicted by the AI-assisted method. Data, AI-Governance and COVID-19 report University Of Southern California Artificial Intelligence Market Segments by Industry Upcoming Trends in Artificial Intelligence AI in cybersecurity 1 AI for real- time video processing 3 Hyperautomation 4 Generative AI 2 Intelligent healthcare 5 Quantum artificial intelligence 6 IBM PwC My company is leveraging data to develop and scale AI but has not deployed any AI projects My company is now using ready-made AI applications such as chatbots My company is developing proofs of concept for specific AI-based use cases 34% 31% 27% My company is looking into intelligent solutions, but we have not invested into any tools or apps My company is deploying AI across the business 24% 21% Statista Percentage of ongoing or accelerated AI investments during the pandemic Percentage of suspended AI investments during the pandemic Life sciences Telecommunications Utilities Energy Public/government Banking Consumer products Manufacturing Global Retail Automotive Insurance 62% 38% 60% 40% 47% 53% 52% 48% 48% 52% 51% 49% 51% 49% 52% 48% 36% 64% 64% 36% 34% 66% 51% 49% Have made significant investments Investment provided positive impact Workforce planning 58% 63% Simulation modeling 48% 61% Supply chain resilience 63% 48% Scenario planning 43% 65% Demand projection 67% 42% Contact tracing 35% 71% Oreilly workforce reskilling challenges 3% legal concerns, risks, or compliance issues 6% low business relevance 8% poor IT infrastructure 12% lack of skilled AI talent 19% challenges in identifying suitable business cases for automation 17% lack of AI-friendly company culture 14% insufficient data quantity or quality 18% Agriculture Entertainment Retail Bioscience Transportation Healthcare Marketing Finance Manufacturing AI