Key Issue: Can you provide publicly quoted market figures for the artificial intelligence industry ?
Here is the data organized according to the 7-layer AI stack:
Layer 1: AI Chips & Hardware Infrastructure
"The global AI chip market is projected to grow from $7.3 billion in 2020 to $70.9 billion by 2025, at a CAGR of 57.5%." - Chirag Dekate, Gartner (2021)
"By 2024, 50% of AI inference will be performed at the edge, up from less than 10% in 2020." - Chirag Dekate, Gartner (2021)
Layer 2: AI Frameworks & Libraries
$22.5 billion
Layer 3: AI Algorithms & Models
"By 2025, 10% of all data will be produced by generative AI models, up from less than 1% today." - Jim Hare, Gartner (2023)
"By 2026, generative AI will account for 10% of all data produced, up from less than 1% in 2021." - Jim Hare, Gartner (2022)
Layer 4: AI Data & Datasets
$ 229.4 billion
Layer 5: AI Application & Integration
AI software market to reach $126 billion by 2025 - Ritu Jyoti, IDC (2023)
Worldwide AI software revenue to reach $62.5 billion in 2022 - David Schubmehl, IDC (2022)
AI software platforms market to grow at a CAGR of 33.2% from 2020 to 2027 - David Schubmehl, IDC (2020)
50% of enterprise applications will incorporate AI by 2025 - Chandana Gopal, IDC (2025)
Intelligent process automation software market to reach $21 billion by 2026 - Jennifer Hamel, IDC (2026)
"Worldwide artificial intelligence software revenue is forecast to total $62.5 billion in 2022, an increase of 21.3% from 2021." - Alys Woodward, Gartner (2022)
"The AI software market is approaching $100 billion in value, with a projected growth rate of 18% through 2025." - Jim Hare, Gartner (2022)
Layer 6: AI Distribution & Ecosystem
"By 2025, 10% of enterprises will have a highly profitable business unit specifically for productizing their internal AI solutions." - Ritu Jyoti, IDC (2023)
"By 2025, 50% of cloud service providers will have integrated AI-driven orchestration and management, up from less than 5% in 2020." - Chirag Dekate, Gartner (2021)
Layer 7: AI Collective and Knowledge Sharing
$5 billion , 76 percent growth rate
Other relevant data points:
Global AI spending to reach $500 billion in 2023 - Ritu Jyoti, IDC (2023)
"By 2024, 50% of enterprises will have devised artificial intelligence (AI) orchestration platforms to operationalize AI, as it becomes an integral part of their business innovation strategy." - Ritu Jyoti, IDC (2022)
"In 2022, enterprises will accelerate their adoption of AI/ML to improve decision making and provide personalized customer experiences." - Ritu Jyoti, IDC (2021)
"The AI software market is picking up speed, but its long-term trajectory will depend on enterprises advancing their AI maturity. Enterprises continue to demonstrate a strong interest in AI, with a significant number of organizations already in the process of deploying AI as part of their business strategy." - David Schubmehl, IDC (2022)
"The AI Software Platforms market continued to grow at a steady rate in 2021 and is expected to continue this trajectory in 2022. As AI applications and use cases continue to expand, many of these applications will require a range of specific AI Software Platforms to deliver the expected results." - David Schubmehl, IDC (2022)
"As AI adoption grows, buyers are focusing more on developing production-grade AI applications. A growing number of enterprises are moving beyond experimentation to deploy AI solutions at scale, driven by maturing AI platforms and services." - David Schubmehl, IDC (2021)
60% of G2000 companies will deploy AI- and ML-enabled "digital workers" by 2024 - Chandana Gopal, IDC (2024)
"By 2026, 20% of all workers will use AI-enabled software or other digitally connected technology to help guide and monitor their performance." - Chandana Gopal, IDC (2023)
"By 2024, 50% of structured, repetitive, or routine tasks will be automated, and 20% of knowledge workers' tasks that are high-value and nonroutine will be augmented by AI/ML and intelligent automation." - Chandana Gopal, IDC (2022)
"By 2023, 40% of G2000 companies will be using AI-powered intelligent agents to enhance customer experience and drive operational efficiencies." - Chandana Gopal, IDC (2021)
"By 2025, 60% of enterprises will have shifted from point solutions to intelligent automation suites, enabling cross-functional process automation and driving significant business value." - Chandana Gopal, IDC (2023)
"By 2024, 30% of enterprises will have deployed AI-enabled process discovery and mining to improve process efficiency and drive business value." - Chandana Gopal, IDC (2022)
"By 2025, 75% of enterprises will have operationalized AI architectures to optimize insights and business agility, leading to a 25% improvement in information quality and speed of decision making." - Chandana Gopal, IDC (2023)
Asia/Pacific AI systems spend to reach $17.9 billion in 2023 - Manoj Ananth, IDC (2023)
AI spending in Asia/Pacific to grow at a five-year CAGR of 25.2% - Manoj Ananth, IDC (2023-2028)
"In 2023, India's AI spending will grow by 31.8% year-over-year to reach $1.1 billion." - Manoj Ananth, IDC (2023)
"By 2024, 30% of organizations in Asia/Pacific will have employed AI-enabled decision support and AI-powered automation in complex business processes to improve business agility and operational efficiency." - Manoj Ananth, IDC (2022)
"In 2022, China will remain the largest AI market in the Asia/Pacific region, accounting for over 60% of the region's total AI spending." - Manoj Ananth, IDC (2021)
"By 2025, 20% of customer service agents in Asia/Pacific will be AI-enabled, leading to a 20% improvement in customer satisfaction scores." - Manoj Ananth, IDC (2023)
"In 2023, the banking industry will remain the largest vertical market for AI spending in Asia/Pacific, accounting for over 20% of the region's total AI spending." - Manoj Ananth, IDC (2023)
"By 2024, 40% of digital transformation initiatives in Asia/Pacific will use AI services, driving a 25% productivity improvement in business processes." - Manoj Ananth, IDC (2022)
"In 2022, spending on AI hardware, software, and services in the Asia/Pacific region (excluding Japan) will reach $13.6 billion, an increase of 31.8% over 2021." - Manoj Ananth, IDC (2022)
70% of organizations will adopt AI-enabled process automation by 2025 - Jennifer Hamel, IDC (2025)
"By 2024, 50% of RPA scripts will be dynamically generated and executed by AI/ML models, reducing the need for manual intervention and increasing process efficiency." - Jennifer Hamel, IDC (2023)
"By 2023, 40% of G2000 organizations will have adopted intelligent process automation platforms, enabling them to rapidly scale and optimize their automation initiatives." - Jennifer Hamel, IDC (2022)
"In 2022, the intelligent process automation software market will grow by 25% year-over-year, driven by the increasing demand for AI-powered automation solutions." - Jennifer Hamel, IDC (2022)
"By 2025, 60% of organizations will have deployed intelligent process automation solutions to improve employee productivity and customer experience." - Jennifer Hamel, IDC (2023)
"In 2023, the adoption of AI-enabled process automation will accelerate in the healthcare industry, with 30% of healthcare providers leveraging these solutions to improve patient care and streamline operations." - Jennifer Hamel, IDC (2023)
"By 2024, 45% of organizations will have integrated intelligent process automation solutions with their existing enterprise systems, enabling end-to-end process automation and optimization." - Jennifer Hamel, IDC (2022)
"In 2022, the banking and financial services industry will be the largest adopter of intelligent process automation solutions, accounting for over 25% of the total market spend." - Jennifer Hamel, IDC (2022)
"By 2025, 50% of enterprises will have devised artificial intelligence orchestration platforms to operationalize AI, up from fewer than 10% in 2020." - Svetlana Sicular, Gartner (2021)
"Through 2025, 80% of AI projects will remain alchemy, run by wizards whose talents will not scale in the organization." - Svetlana Sicular, Gartner (2020)
"By 2023, 40% of I&O teams will use AI-augmented automation in large enterprises, resulting in higher IT productivity with greater agility and scalability." - Svetlana Sicular, Gartner (2021)
"By 2025, 50% of knowledge workers will regularly interact with conversational platforms." - Bern Elliot, Gartner (2021)
"By 2024, 75% of enterprises will shift from piloting to operationalizing AI, driving a 5x increase in streaming data and analytics infrastructures." - Bern Elliot, Gartner (2020)
"By 2023, AI will be a mainstream customer experience investment for more than 60% of service organizations." - Bern Elliot, Gartner (2021)
"By 2025, more than 50% of data and analytics use cases will be supported by graph technologies, up from 10% in 2021." - Arun Chandrasekaran, Gartner (2021)
"By 2024, 75% of organizations will have multiple AI projects in place, up from 35% today." - Arun Chandrasekaran, Gartner (2020)
"By 2025, 70% of organizations will use AI-assisted, design-to-code technologies to generate over 50% of their new application code." - Arun Chandrasekaran, Gartner (2021)
"By 2025, 50% of new business systems will incorporate continuous intelligence that uses real-time context data to improve decisions." - Erick Brethenoux, Gartner (2021)
"By 2024, 30% of organizations will have formal AI governance policies and procedures in place, up from less than 5% today." - Erick Brethenoux, Gartner (2020)
"By 2023, 60% of organizations will compose components from three or more analytics solutions to build decision-oriented applications infused with AI." - Erick Brethenoux, Gartner (2021)
"The AI software market is picking up speed, but its long-term trajectory will depend on enterprises advancing their AI maturity." - Alys Woodward, Gartner (2022)
"By 2025, 50% of enterprises will have devised artificial intelligence orchestration platforms to operationalize AI, up from fewer than 10% in 2020." - Alys Woodward, Gartner (2021)
"Global AI-derived business value will reach nearly $3.9 trillion in 2022." - Gaurav Gupta, Gartner (2019)
"By 2024, 50% of AI investments will be quantified and linked to specific key performance indicators to measure return on investment." - Gaurav Gupta, Gartner (2020)
"By 2025, the 10% of enterprises that establish AI engineering best practices will generate at least three times more value from their AI efforts than the 90% of enterprises that do not." - Gaurav Gupta, Gartner (2021)
