NEEDHAM, Mass., March 7, 2023 – A new forecast from the International Data Corporation (IDC) Worldwide Artificial Intelligence Spending Guide shows that global spending on artificial intelligence (AI), including software, hardware, and services for AI-centric systems*, will reach $154 billion in 2023, an increase of 26.9% over the amount spent in 2022. The ongoing incorporation of AI into a wide range of products will result in a compound annual growth rate (CAGR) of 27.0% over the 2022-2026 forecast with spending on AI-centric systems expected to surpass $300 billion in 2026. "Companies that are slow to adopt AI will be left behind – large and small. AI is best used in these companies to augment human abilities, automate repetitive tasks, provide personalized recommendations, and make data-driven decisions with speed and accuracy," said Mike Glennon, senior market research analyst with IDC's Customer Insights & Analysis team. "Suppliers of AI technologies need to know which are the largest and fastest growing opportunities, but without data they become just another opinion. IDC's AI Spending Guide provides the foundation for marketing strategy through its comprehensive coverage of AI opportunities and gives a robust basis for a market focus that ties with companies' capabilities."

SINGAPORE, September 27, 2022 – Asia/Pacific* spending on AI systems (including hardware, software, and services) will rise from $20.6 billion in 2022 to around $46.6 billion in 2026, according to IDC's latest Worldwide Artificial Intelligence Spending Guide. Artificial intelligence (AI) solutions have become an essential part of process improvement and business decision-making, assisting organizations in keeping up with market viability. IDC forecasts a compound annual growth rate (CAGR) of 23.7 percent for 2021-2026. "Pre-trained natural language and computer vision models have contributed largely to the 1st wave of adoptions. It's time for more organizations to tap into their own data asset and start managing the "data to intelligence" lifecycle. This will become one of the differentiating capabilities for companies to compete in the digital-first era," says Jessie Danqing Cai, Associate Research Director, Artificial Intelligence, IDC Asia/Pacific.

FRAMINGHAM, Mass., August 25, 2020 – Global spending on artificial intelligence (AI) is forecast to double over the next four years, growing from $50.1 billion in 2020 to more than $110 billion in 2024. According to the International Data Corporation (IDC) Worldwide Artificial Intelligence Spending Guide, spending on AI systems will accelerate over the next several years as organizations deploy artificial intelligence as part of their digital transformation efforts and to remain competitive in the digital economy. The compound annual growth rate (CAGR) for the 2019-2024 period will be 20.1%. "Companies will adopt AI -- not just because they can, but because they must," said Ritu Jyoti, program vice president, Artificial Intelligence at IDC. "AI is the technology that will help businesses to be agile, innovate, and scale. The companies that become'AI powered' will have the ability to synthesize information (using AI to convert data into information and then into knowledge), the capacity to learn (using AI to understand relationships between knowledge and apply the learning to business problems), and the capability to deliver insights at scale (using AI to support decisions and automation)."

In a recent IDC spending guide titled Worldwide cognitive systems and artificial intelligence spending guide, some fantastic numbers were thrown out in terms of opportunity and growth 50 % CAGR, Verticals pouring in billions of dollars on cognitive systems. One of the key components of cognitive systems is Machine Learning. According to wikipedia Machine Learning is a subfield of computer science that gives the computers the ability to learn without being explicitly programmed. Just these two pieces of information were enough to get me interested in the field. After hours of daily searching, digging through inane babble and noise across the internet, the understanding of how machines can learn evaded me for weeks, until I hit a jackpot.