According to the Latin American artificial intelligence (AI) index ranking, Chile was the highest ranked Latin American country in 2023, with an index score of 73.21. This means that Chile is considered the best-situated country in terms of AI infrastructure, talent, research, development, and adoption, as well as governance. Other noteworthy countries with high indexes were Brazil and Uruguay, with AI index scores of 65.31 and just under 55, respectively.

In 2023, Singapore ranked first in the business AI readiness index among countries in the Asia-Pacific region, with 53.6 out of 100 points. In contrast, Indonesia had a business AI readiness index score of 23.5 in the same year.

In 2025, it was the United States that led the world in research capacity on AI. And led with a lead of nearly 50 points beyond its nearest competitor, China. Across the globe, no other nation comes close to the U.S. research capacity in AI.

Computer science still male-driven Research requires educated and skilled individuals to do it and in the modern world, computer science education is still male-dominated. Both in Europe and the United States, it is males that trend far more towards bachelor’s degrees in computer science. However, females had a higher trend toward masters in this field in Europe, whereas, in the United States, their share was similar to their share of bachelor's degrees. U.S. tech giants play a significant role One primary driver of the United States' significant lead over other nations is the fact that it houses the largest tech companies on earth. Counting giants such as Microsoft, Google, Apple, and Amazon, the country has ample funds in private hands to drive AI research even without the enormous budget of the U.S. government.

According to the government artificial intelligence (AI) readiness index rankings, the United States (U.S.) is the highest-ranked country on the worldwide index in 2024, with an index score of 87.03. This means that the U.S. is considered the country best situated in the world to implement AI within public services, from healthcare to education to transportation. Other noteworthy countries with high indexes were Singapore, the Republic of Korea, and France coming in at second, third, and fourth respectively. China ranks 20th on the index as it only measures AI readiness instead of AI implementation. Compared to many other countries that may score more highly for AI readiness, China is advanced in implementing AI capabilities to public services as it has made this a top government priority.

In 2023, Singapore was the most AI-ready country in the Asia-Pacific region, scoring 70.1 out of 100 points in the AI readiness index. In contrast, the Philippines had an AI readiness index score of 35.7 in the same year, indicating a lower overall AI readiness level.

The leading AI country by operating environment in 2024 was Italy, with a score of 100, followed closely by the United States with a score of 96.

According to the government artificial intelligence (AI) readiness index rankings, the United Kingdom (UK) is the highest ranked Western European country in 2022, with an index score of 78.57. This means that the UK is considered the best-situated country in Western Europe to implement AI within public services, from healthcare to education to transportation. Other noteworthy countries with high indexes were Finland, France, and Germany coming in at second, third, and fourth respectively.

In 2023, Vietnam ranked 59th place globally in the Government AI Readiness Index, indicating a downgrade of the country's ranking in this index from the year before. The Government AI Readiness Index aims to explore how ready a government is when it comes to the implementation of Artificial Intelligence in delivering public services to their citizens. It looks at the governmental and technological process of a country that contributes to the AI readiness.

In 2023, Singapore was the most AI-ready government in the Asia-Pacific region, scoring 81.97 out of 100 points in the government AI readiness index. In contrast, North Korea had a government AI readiness index score of 9.2 in the same year, indicating a lower level of readiness for the implementation of AI in its public functions.

The global artificial intelligence in telecommunication market size is projected to be valued at US$ 1,180.9 million in 2023 and is anticipated to reach US$ 14,496 million by 2033, with a notable CAGR of 28.5% from 2023 to 2033.

Attributes	Details
Artificial Intelligence in Telecommunication Market CAGR (2023 to 2033)	28.5%
Artificial Intelligence in Telecommunication Market Value (2023)	US$ 1,180.9 million
Artificial Intelligence in Telecommunication Market Value (2033)	US$ 14,496 million

Report Scope

Report Attribute	Details
Base Year for Estimation	2022
Historical Data	2018 to 2022
Forecast Period	2023 to 2033
Artificial Intelligence in Telecommunication Market CAGR (2023 to 2033)	28.5%
Artificial Intelligence in Telecommunication Market Value (2023)	US$ 1,180.9 million
Artificial Intelligence in Telecommunication Market Value (2033)	US$ 14,496 million
Quantitative Units	Revenue in USD million and CAGR from 2023 to 2033
Report Coverage	Revenue Forecast, Volume Forecast, Company Ranking, Competitive Landscape, Growth Factors, Trends, and Pricing Analysis
Segments Covered	Deployment Application Region
Regions Covered	North America Latin America Western Europe Eastern Europe South Asia & Pacific East Asia The Middle East & Africa (MEA)
Key Countries Profiled	The United States Canada Brazil Mexico Germany The United Kingdom France Spain Italy Poland Russia Czech Republic Romania India Bangladesh Australia New Zealand China Japan South Korea GCC Countries South Africa Israel
Key Companies Covered	IBM Corporation Microsoft Intel Corporation Google AT&T Intellectual Property Cisco Systems Nuance Communications, Inc. Evolv Technology Solutions, Inc. H2O.ai Infosys Limited Salesforce.com, Inc. NVIDIA Corporation
Customization	Available Upon Request

The global AI in fraud management market is expected to attain a valuation of US$ 10,437.3 million in 2023, and is projected to reach US$ 57,146.8 million by 2033. The market is expected to flourish at a CAGR of 18.5% from 2023 to 2033.

Report Attribute	Details
Expected Market Value (2023)	US$ 10,437.3 million
Anticipated Forecast Value (2033)	US$ 57,146.8 million
Projected Growth Rate (2023 to 2033)	CAGR 18.5%

Report Scope

Report Attribute	Details
Market Value in 2023	US$ 10,437.3 million
Market Value in 2033	US$ 57,146.8 million
Growth Rate	CAGR of 18.5% from 2023 to 2033
Base Year for Estimation	2022
Historical Data	2018 to 2022
Forecast Period	2023 to 2033
Quantitative Units	Revenue in US$ million and CAGR from 2023 to 2033
Report Coverage	Revenue Forecast, Volume Forecast, Company Ranking, Competitive Landscape, Growth Factors, Trends, and Pricing Analysis
Segments Covered	Solution Application Enterprise Size Industry Region
Regions Covered	North America Latin America Europe South Asia East Asia Oceania Middle East & Africa
Key Countries Profiled	United States Canada Brazil Mexico Germany United Kingdom France Spain Italy India Malaysia Singapore Thailand China Japan South Korea Australia New Zealand GCC Countries South Africa Israel
Key Companies Profiled	IBM Corporation Cognizant Temenos AG Capgemini SE Subex Limited JuicyScore Hewlett Packard Enterprise MaxMind Inc. BAE Systems plc Pelican SAS Institute Inc. Splunk Inc. DataVisor Inc. Matellio Inc. ACTICO GmbH
Customization & Pricing	Available Upon Request

In 2023, Singapore ranked in second place globally in the Government AI Readiness Index, indicating a stability of the country's ranking in this index from the years before. The Government AI Readiness Index aims to explore how ready a government is when it comes to the implementation of Artificial Intelligence in delivering public services to their citizens. It looks at the governmental and technological process of a country that contributes to the AI readiness.

European Union HICP: Weights: EA20: RC: AI: Repair data was reported at 1.130 Per 1000 in 2024. This records an increase from the previous number of 0.750 Per 1000 for 2023. European Union HICP: Weights: EA20: RC: AI: Repair data is updated yearly, averaging 0.900 Per 1000 from Dec 2000 (Median) to 2024, with 25 observations. The data reached an all-time high of 1.150 Per 1000 in 2000 and a record low of 0.600 Per 1000 in 2015. European Union HICP: Weights: EA20: RC: AI: Repair data remains active status in CEIC and is reported by Eurostat. The data is categorized under Global Database’s European Union – Table EU.I005: Eurostat: Harmonized Index of Consumer Prices: Weights.

According to the government artificial intelligence (AI) readiness index rankings, Indonesia ranked 42nd among 193 countries in 2023, with an index score of 61.03 out of 100. Among the readiness index categories, Indonesia scored the lowest on the technology sector pillar, indicating the need for adequate AI tools supply from the country's technology sector.

CN:(GDP) Gross Domestic ProductIndex: PY=100: Beijing: Miyun data was reported at 104.600 Prev Year=100 in 2023. This records an increase from the previous number of 100.500 Prev Year=100 for 2022. CN:(GDP) Gross Domestic ProductIndex: PY=100: Beijing: Miyun data is updated yearly, averaging 107.042 Prev Year=100 from Dec 2011 (Median) to 2023, with 13 observations. The data reached an all-time high of 114.600 Prev Year=100 in 2011 and a record low of 98.400 Prev Year=100 in 2020. CN:(GDP) Gross Domestic ProductIndex: PY=100: Beijing: Miyun data remains active status in CEIC and is reported by Beijing Municipal Bureau of Statistics. The data is categorized under China Premium Database’s National Accounts – Table CN.AI: Gross Domestic Product: Index: PY=100: Municipality District.

Digital Signal Processor Market size was valued at USD 19.36 Billion in 2024 and is projected to reach USD 28.77 Billion by 2032, growing at a CAGR of 4.5% from 2025 to 2032.

Digital Signal Processor Market Drivers

Increasing Demand for Consumer Electronics: According to the U.S. Consumer Technology Association, consumer electronics expenditure will reach $505 billion by 2023, with smartphones and smart home gadgets accounting for 45% of sales, fuelling demand for DSP processors. According to the International Trade Administration, global smartphone shipments will approach 1.35 billion devices by 2023, with each device incorporating numerous DSPs for audio, picture, and signal processing.

Expanding the 5G Infrastructure: The Federal Communications Commission (FCC) forecasts that 5G network deployments will increase by 67% in 2023, necessitating improved DSP solutions for signal processing and network optimization. According to the European Telecommunications Standards Institute (ETSI), 5G base station installations will increase by 156% in 2023, with each station using numerous DSP processors for effective signal processing and network management.

Rising Adoption of AI and Machine Learning: According to the US Bureau of Economic Analysis, investment in AI processing capabilities will increase by 89% in 2023, with DSPs playing an important role in AI acceleration and real-time processing. According to the European Union’s Digital Economy and Society Index, enterprise AI usage is expected to expand by 45% in 2023, with 72% of implementations requiring specialized DSP hardware for effective neural network processing and signal analysis.

The COVID-19 pandemic marked a change of pace in e-commerce personalization. According to a global study, in 2017, 44 percent of consumers stated they would become repeat buyers after a personalized digital shopping experience. After the global e-commerce surge in 2021, the figure declined but remained higher than pre-pandemic levels. As of 2023, 56 percent of surveyed consumers were driven to purchase again from a retailer providing online personalization. Regional variations in personalization preferences The demand for personalized online shopping experiences varies across countries. In the United States, nearly half of consumers desire personalized service when buying online, leading a ranking of 17 countries. Spain and Australia follow closely, with 42 percent of respondents expressing similar preferences. Another survey showed that Portuguese consumers show the highest appetite for personalized product recommendations, with over 50 percent desiring such features. Data privacy concerns While personalization is increasingly valued, concerns about data privacy persist, particularly among older consumers. A 2024 survey revealed that 55 percent of U.S. consumers aged 55 to 59 are the least likely to share personal data with AI technologies for shopping purposes. In contrast, only 25 percent of shoppers aged 18 to 24 express such reservations. This generational divide extends to AI-driven personalization, with 43 percent of Baby Boomers globally rejecting AI personalization in their customer journey, compared to just 15 percent of Gen Z shoppers.

CN:(GDP) Gross Domestic ProductIndex: PY=100: Shanghai: Chongming data was reported at 104.200 Prev Year=100 in 2023. This records an increase from the previous number of 95.700 Prev Year=100 for 2022. CN:(GDP) Gross Domestic ProductIndex: PY=100: Shanghai: Chongming data is updated yearly, averaging 106.800 Prev Year=100 from Dec 2009 (Median) to 2023, with 15 observations. The data reached an all-time high of 118.400 Prev Year=100 in 2009 and a record low of 95.700 Prev Year=100 in 2022. CN:(GDP) Gross Domestic ProductIndex: PY=100: Shanghai: Chongming data remains active status in CEIC and is reported by Shanghai Municipal Bureau of Statistics. The data is categorized under China Premium Database’s National Accounts – Table CN.AI: Gross Domestic Product: Index: PY=100: Municipality District.

CN:(GDP) Gross Domestic ProductIndex: PY=100: Beijing: Daxing data was reported at 96.200 Prev Year=100 in 2023. This records an increase from the previous number of 72.000 Prev Year=100 for 2022. CN:(GDP) Gross Domestic ProductIndex: PY=100: Beijing: Daxing data is updated yearly, averaging 107.400 Prev Year=100 from Dec 2011 (Median) to 2023, with 13 observations. The data reached an all-time high of 156.400 Prev Year=100 in 2021 and a record low of 72.000 Prev Year=100 in 2022. CN:(GDP) Gross Domestic ProductIndex: PY=100: Beijing: Daxing data remains active status in CEIC and is reported by Beijing Municipal Bureau of Statistics. The data is categorized under China Premium Database’s National Accounts – Table CN.AI: Gross Domestic Product: Index: PY=100: Municipality District.

CN:(GDP) Gross Domestic ProductIndex: PY=100: Beijing: Huairou data was reported at 106.700 Prev Year=100 in 2023. This records an increase from the previous number of 103.000 Prev Year=100 for 2022. CN:(GDP) Gross Domestic ProductIndex: PY=100: Beijing: Huairou data is updated yearly, averaging 107.308 Prev Year=100 from Dec 2011 (Median) to 2023, with 13 observations. The data reached an all-time high of 114.100 Prev Year=100 in 2011 and a record low of 98.700 Prev Year=100 in 2020. CN:(GDP) Gross Domestic ProductIndex: PY=100: Beijing: Huairou data remains active status in CEIC and is reported by Beijing Municipal Bureau of Statistics. The data is categorized under China Premium Database’s National Accounts – Table CN.AI: Gross Domestic Product: Index: PY=100: Municipality District.