Artificial intelligence is no longer a futuristic concept, but a disruptive force that is reshaping today's enterprise landscape. From transforming customer service and operational efficiency to driving unprecedented innovation, AI is a game-changer for businesses around the world. As we gear up for his upcoming ETCIO Conclave, where “Generative AI Disruption: Building the Enterprise of the Future” will be a key topic, these statistics will help you navigate and lead in the era of AI disruption. It will help you acquire the necessary knowledge.
- 79% of corporate strategists believe AI and analytics will be critical to success over the next two years (Source: Gartner)
- 55% of organizations are in pilot or production mode with generative AI (Source: Gartner)
- More than 80% of enterprises will use generative AI APIs or deploy generative AI-enabled applications by 2026 (Source: Gartner)
- Currently, 39% of organizations are using AI in their finance departments (Source: Gartner)
- By 2024, 60% of AI data will be used to simulate reality, identify future scenarios, and reduce the risk of AI errors. In 2021, its usage rate was just 1% (Source: Gartner)
- 66% of manufacturers who are incorporating AI into their daily operations report increasing reliance on this innovative technology (Source: VentureBeat)
- The market size of AI in manufacturing is expected to exceed USD 2 billion by 2025, registering an average annual growth of over 40% since 2019 (Source: Deloitte)
- 93% of companies believe AI will be a key technology driving growth and innovation in manufacturing (Source: Deloitte)
- 83% of companies believe AI has had or will have a tangible impact, 27% believe AI projects are already delivering value, and 56% expect it to be within 2-5 years Expect value within (Source: Deloitte)
- Over 60% of large enterprises have already implemented an AI strategy, focusing on AI for customer service and operational efficiency (Source: Deloitte)
- 86% of executives are already adopting artificial intelligence to improve revenue (Source: TCS)
- 45% of executives expect up to half of their employees to need to use generative AI capabilities to get their jobs done within three years, and 41% expect even more employees to do so. I think so (Source: TCS)
- 65% believe AI will augment and enhance human capabilities, allowing people to focus on higher-value activities that require creativity and strategic thinking (Source: TCS)
- Executives believe the impact of AI will be greater than the impact of the internet (54%) and smartphones (59%) (Source: TCS)
- The corporate sectors with the most completed AI projects are Finance/Auditing (29%), Human Resources (28%), and Marketing (28%) (Source: TCS)
- 65% of senior executives say competitive advantage will continue to come from humans, driven by the creativity, intuition, and strategic thinking unlocked by AI augmentation and assistance capabilities (Source: TCS)
- 40% of executives say they will need to make significant changes to their business to get the most out of AI (Source: TCS)
- 55% of executives are actively making changes to their business and operating models, or to their products and services, due to the potential benefits and risks of AI (Source: TCS)
- 81% of executives emphasize the need for global AI standards and regulation (Source: TCS)
- 93% of executives in the UK and Ireland are working on AI projects to drive revenue, as well as in North America (89%), APAC (88%), Continental Europe (83%) and Latin America (80%) (Source: TCS)
- Almost two-thirds of industry executives in BFSI (64%) and manufacturing (63%) are excited or optimistic about the impact AI will have on their business (Source: TCS)
- 69% of companies are more focused on using AI to drive innovation and increase revenue, rather than reducing costs or optimizing operations (Source: TCS)
- 65% of businesses believe that human strategic decision-making and creativity will remain critical to their competitive advantage (Source: TCS)
- Only 23% of companies say more than 5% of their profits will come from AI in 2023, showing there is room for improvement (Source: McKinsey)
- The banking industry is expected to be one of the largest business opportunities due to productivity gains, with a potential value of $200 billion to $340 billion per year (Source: McKinsey)
- The potential impact of AI in retail and consumer packaged goods is significant, ranging from $400 billion to $660 billion annually (Source: McKinsey)
- Generative AI could enable labor productivity gains of 0.1-0.6% per year until 2040 (Source: McKinsey)
- Approximately 75% of the value that generative AI use cases can deliver falls into four areas: customer operations, marketing and sales, software engineering, and research and development (Source: McKinsey)
- Half of today’s labor activities could be automated between 2030 and 2060 (Source: McKinsey)
- Combining work automation and generative AI can increase productivity growth by 0.5 to 3.4 percentage points annually (Source: McKinsey)
- 89% of AI decision makers say their organization is expanding, experimenting with, or considering the use of generative AI (Source: Forrester)
- The global artificial intelligence market size is expected to grow at a CAGR of 37.3% from 2023 to 2030, reaching $1,811.8 billion by 2030 (Source: Grandview Research)
- The Indian artificial intelligence market size is expected to reach $680 million in 2022 and $3,935.5 million by 2028, growing at a CAGR of 33.28% from 2023 to 2028. (Source: IMARC)
- AI spending in India jumped 109.6% ($665 million) in 2018 and is estimated to soar at a CAGR of 39% to reach $11,781 million by 2025 (Source: India Brand Equity Foundation )
- AI could add nearly $500 billion to India's GDP by 2025 (Source: IBEF.org)
- By 2025, 95% of customer interactions will have AI, and 19 out of 20 customer interactions will be AI-assisted (Source: AI Business)
- Chinese and Indian companies are leading the way in AI adoption, with nearly 60% of IT professionals saying their organizations are already using AI applications (Source: IBM)
- 44% of executives believe there is a big difference between human-generated content and chatbot-generated content (Source: Forbes Advisor)
- By 2030, just 1.5% of jobs will be lost to generative AI and 6.9% will be impacted (Source: Forrester)
- Global spending on AI systems is predicted to reach $204 billion by 2025, driven by investments in automation, data analytics, and customer relationship management (Source: IDC)
- AI research publications have grown by 34.5% annually over the past five years, with significant contributions from the US, China and Europe (Source: Elsevier)
- Collaboration between academia and industry in AI research is growing, with more than 40% of AI papers at top conferences coming from such collaborations (Source: Nature)
- 67% of executives believe AI ethics will be a key consideration in technology adoption and will require a robust governance framework (Source: Capgemini)
- 62% of retailers plan to invest in AI-powered predictive analytics to enhance inventory management and customer personalization by 2025 (Source: Gartner)
- 41% of HR professionals currently use AI for tasks such as recruiting, employee engagement and performance management (Source: Deloitte)
- AI tools reduce time spent on legal research by up to 90%, freeing lawyers to focus on higher-value work (Source: McKinsey)
- 80% of marketing executives believe AI will revolutionize the marketing industry by improving personalization and customer targeting (Source: Salesforce)
- 64% of supply chain executives use AI to improve demand forecasting, inventory management, and logistics (Source: Deloitte)
- Streaming services using AI-driven recommendation algorithms saw a 35% increase in user engagement and retention (Source: McKinsey)
- 75% of generative AI users are considering automating tasks at work and using generative AI for work communications (Source: Salesforce)
