Sending remittances to Mexico was about **** percentage points cheaper than sending money from either Canada or the United States. This is according to an average taken from different situations in which consumers send money worth 200 U.S. dollars from one country to the next - including cash, MTOs (money transfer organizations) or cards.

The datasets contain the computer code and data required to determine the cost and economic impacts of phosphorus recovery from municipal wastewater in Canada and the United States. The datasets supply data to (i) calculate the efficiency and cost of phosphorus recovery from the aqueous phase of digestate and sewage sludge for wastewater resource recovery facilities (WRRFs) as shown in Figure 1; (ii) estimate the average annual per capita phosphorus recovery cost and the household affordability index (HAI) across the second-level territory divisions (census divisions (Canada) and counties (United States)) when excluding and including the offset cost derived from avoiding potential environmental damage caused by phosphorus releases as shown in Figure 2; (iii) supply the distribution of population in urban and rural areas, the treatment level of the WRRFs, and the phosphorus recovery points as a function of the WRRF scale in the studied regions of Canada and the United States as shown in Figure 3; and (iv) describe the distribution of the average phosphorus recovery cost, annual per capita phosphorus recovery costs, and the HAI per studied regions as shown in Figure 4. Data describing the WRRFs’ location and characteristics across the studied regions of Canada and the United States are retrieved from the HydroWASTE database (https://www.hydrosheds.org/products/hydrowaste), including their spatial coordinates, treatment level, treatment design capacity, and population served. The HydroWASTE database reports the WRRF treatment level as primary, secondary, and advanced treatment. Since the U.S. Environmental Protection Agency does not define numeric nutrient water quality criteria for secondary wastewater treatment effluents, we consider that only the WRRFs with advanced treatments have specific processes for removing phosphorus from the liquid effluent. To perform the analysis at the second-level divisions, data on total population, distribution of population in urban and rural areas, total income, and average annual income per capita are retrieved at the census division and county level for Canada and the United States, respectively. Data for the year 2020 is considered since it is the most recent information available for both countries. The first-level divisions level corresponds to census divisions of the United States, which provide territorial divisions similar in terms of development, demographic characteristics, and economic activities, being extensively used for collecting and analyzing data throughout the United States. A table of the states included in each United States census division can be found in the Supplementary Information file. The equivalent of the United States census divisions for Canada is the Canadian provinces and territories, although it must be noted that, unlike the case of the United States, their definition is guided by administrative and political considerations instead of statistical criteria.

BackgroundThe National Lung Screening Trial (NLST) results indicate that computed tomography (CT) lung cancer screening for current and former smokers with three annual screens can be cost-effective in a trial setting. However, the cost-effectiveness in a population-based setting with >3 screening rounds is uncertain. Therefore, the objective of this study was to estimate the cost-effectiveness of lung cancer screening in a population-based setting in Ontario, Canada, and evaluate the effects of screening eligibility criteria.Methods and FindingsThis study used microsimulation modeling informed by various data sources, including the Ontario Health Insurance Plan (OHIP), Ontario Cancer Registry, smoking behavior surveys, and the NLST. Persons, born between 1940 and 1969, were examined from a third-party health care payer perspective across a lifetime horizon. Starting in 2015, 576 CT screening scenarios were examined, varying by age to start and end screening, smoking eligibility criteria, and screening interval. Among the examined outcome measures were lung cancer deaths averted, life-years gained, percentage ever screened, costs (in 2015 Canadian dollars), and overdiagnosis. The results of the base-case analysis indicated that annual screening was more cost-effective than biennial screening. Scenarios with eligibility criteria that required as few as 20 pack-years were dominated by scenarios that required higher numbers of accumulated pack-years. In general, scenarios that applied stringent smoking eligibility criteria (i.e., requiring higher levels of accumulated smoking exposure) were more cost-effective than scenarios with less stringent smoking eligibility criteria, with modest differences in life-years gained. Annual screening between ages 55–75 for persons who smoked ≥40 pack-years and who currently smoke or quit ≤10 y ago yielded an incremental cost-effectiveness ratio of $41,136 Canadian dollars ($33,825 in May 1, 2015, United States dollars) per life-year gained (compared to annual screening between ages 60–75 for persons who smoked ≥40 pack-years and who currently smoke or quit ≤10 y ago), which was considered optimal at a cost-effectiveness threshold of $50,000 Canadian dollars ($41,114 May 1, 2015, US dollars). If 50% lower or higher attributable costs were assumed, the incremental cost-effectiveness ratio of this scenario was estimated to be $38,240 ($31,444 May 1, 2015, US dollars) or $48,525 ($39,901 May 1, 2015, US dollars), respectively. If 50% lower or higher costs for CT examinations were assumed, the incremental cost-effectiveness ratio of this scenario was estimated to be $28,630 ($23,542 May 1, 2015, US dollars) or $73,507 ($60,443 May 1, 2015, US dollars), respectively.This scenario would screen 9.56% (499,261 individuals) of the total population (ever- and never-smokers) at least once, which would require 4,788,523 CT examinations, and reduce lung cancer mortality in the total population by 9.05% (preventing 13,108 lung cancer deaths), while 12.53% of screen-detected cancers would be overdiagnosed (4,282 overdiagnosed cases). Sensitivity analyses indicated that the overall results were most sensitive to variations in CT examination costs. Quality of life was not incorporated in the analyses, and assumptions for follow-up procedures were based on data from the NLST, which may not be generalizable to a population-based setting.ConclusionsLung cancer screening with stringent smoking eligibility criteria can be cost-effective in a population-based setting.

Low-income consumers in the United States and Canada pay the highest net transaction costs as a percentage of their purchases.

Canada Imports from United States was US$266.27 Billion during 2024, according to the United Nations COMTRADE database on international trade. Canada Imports from United States - data, historical chart and statistics - was last updated on November of 2025.

Canadian valve manufacturers have had mixed performance over the past five years. Since valves are essential components in a vast range of manufacturing and industrial processes, industry growth tends to fluctuate in line with both domestic and global economic conditions. The decline in industrial production following the collapse in crude oil during the early stages of the pandemic weakened demand for specialized valves from the manufacturing and energy sectors, both of which are key markets for valves. Similarly, heightened interest rates and elevated inflation during the period negatively impacted demand from the residential sector, as the cost of purchasing or building a home became significantly more expensive than it had been in years prior. Although the industry has faced significant losses throughout the current period, these losses have been offset by gains resulting from higher crude oil prices, increased input material costs that have been passed on to end consumers and a shift towards more profitable specialized valve production. As a result of recent gains, revenue is forecast to increase at a five-year CAGR of 1.5% reaching $1.8 billion through the end of 2025, with a gain of 3.6% expected throughout 2025. Domestic producers face significant competition from imported products, as these are often lower-priced. This trend has prompted manufacturers to focus on niche markets that require specialized product lines, including highly customized valves that perform well in corrosive environments or at high temperatures. These products often generate higher profit, supporting industry performance. However, producers in the United States often opt to focus on these markets as well, maintaining high competition from imports. While imports are expected to remain a threat, domestic manufacturers with significant research and development resources will continue to focus on designing advanced valves for highly specialized and demanding applications. Canada's continued investment in water infrastructure projects will boost demand for valves and other flow control products sold by manufacturers. Exports are expected to remain a key driver of revenue growth as demand from global energy and industrial manufacturing markets rebounds. The construction and energy sectors in the US are expected to grow as the US Federal Reserve has recently reduced rates and indicated future reductions throughout 2026. Throughout the outlook period, revenue is forecast to increase at an annualized rate of 0.7% reaching $1.8 billion through the end of 2030.

View market daily updates and historical trends for US Dollar to Canadian Dollar Exchange Rate. from Canada. Source: European Central Bank. Track economic…

Time series data for the statistic Imports_Canada_from_the_United_States. Indicator Definition:Goods, Value of Imports, Cost, Insurance, Freight (CIF), US DollarsThe indicator "Goods, Value of Imports, Cost, Insurance, Freight (CIF), US Dollars" stands at 22.51 Billion as of 5/31/2025. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -11.24 percent compared to the value the year prior.The 1 year change in percent is -11.24.The 3 year change in percent is -11.84.The 5 year change in percent is 88.15.The 10 year change in percent is 5.79.The Serie's long term average value is 16.02 Billion. It's latest available value, on 5/31/2025, is 40.44 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1990, to it's latest available value, on 5/31/2025, is +281.22%.The Serie's change in percent from it's maximum value, on 6/30/2022, to it's latest available value, on 5/31/2025, is -19.03%.

The industry has faced significant headwinds over the current five-year period, with persistent trade deficits and foreign competition constraining domestic production capacity. The sector has struggled against low-cost imports primarily from the United States, which supplies the majority of Canadian demand while limiting opportunities for domestic manufacturers to expand market share. Environmental regulations, including single-use plastic bans and extended producer responsibility programs, have imposed substantial compliance costs and forced costly adaptations to sustainable packaging solutions. These regulatory pressures, combined with the industry's shift toward automation and facility consolidation to improve operational efficiency, have decreased profit margin from 13.2% of revenue in 2020 to 10.0% in 2025. Despite these challenges, the industry achieved a five-year revenue growth CAGR of 0.5%, reaching $903.0 million in 2025 with current-year growth of 1.3%. Market saturation and evolving consumer preferences have further complicated the industry landscape, as the shift from soft drinks to bottled water demand has required manufacturers to adapt production lines while managing intense competition from large integrated companies and smaller specialized producers. Industry consolidation has accelerated through strategic acquisitions, with major players like Amcor's $10.4 billion acquisition of Berry Global reshaping the competitive environment and driving operational rationalization. Revenue volatility has been exacerbated by supply chain disruptions, customer consolidation pressures and commercial risks that create unpredictable demand swings across key end markets, including beverages, food, pharmaceuticals and household chemicals. The industry faces mounting challenges from escalating trade tensions and regulatory expansion that will constrain revenue growth potential. Tariffs between Canada and the US have reached as high as 35.0% on certain products, creating significant cost pressures and forcing manufacturers to restructure supply chains while losing competitiveness in their largest export market. Expanding environmental regulations through 2030, including comprehensive Extended Producer Responsibility programs and recycled content mandates, will impose additional compliance burdens that manufacturers must absorb or pass to increasingly cost-sensitive customers. These structural headwinds, combined with the trend toward in-house bottle production among major customers, will limit growth opportunities and maintain pressure on profit. Industry revenue is forecast to climb at a modest CAGR of 0.2% over the next five years, reaching $913.9 million by 2030 as manufacturers focus on operational efficiency and niche market opportunities to navigate an increasingly challenging competitive environment.

Portugal, Canada, and the United States were the countries with the highest house price to income ratio in 2024. In all three countries, the index exceeded 130 index points, while the average for all OECD countries stood at 116.2 index points. The index measures the development of housing affordability and is calculated by dividing nominal house price by nominal disposable income per head, with 2015 set as a base year when the index amounted to 100. An index value of 120, for example, would mean that house price growth has outpaced income growth by 20 percent since 2015. How have house prices worldwide changed since the COVID-19 pandemic? House prices started to rise gradually after the global financial crisis (2007–2008), but this trend accelerated with the pandemic. The countries with advanced economies, which usually have mature housing markets, experienced stronger growth than countries with emerging economies. Real house price growth (accounting for inflation) peaked in 2022 and has since lost some of the gain. Although, many countries experienced a decline in house prices, the global house price index shows that property prices in 2023 were still substantially higher than before COVID-19. Renting vs. buying In the past, house prices have grown faster than rents. However, the home affordability has been declining notably, with a direct impact on rental prices. As people struggle to buy a property of their own, they often turn to rental accommodation. This has resulted in a growing demand for rental apartments and soaring rental prices.

Quarterly estimates of productivity in the total economy and in the industries are derived from a Fisher chained index of gross domestic product (GDP). The approach to measure the GDP in the total economy differs from the one that used in the estimates by industry. For the total economy, GDP is measured using the expenditure approach at market prices published by the Quarterly Income and Expenditure Accounts. For the estimates by industry, GDP is measured using the value added approach at basic prices published by the Industry Accounts Division. This was the Fisher chained index in the case of years for which final input-output tables are available. For the most current years or annual post-benchmarks, the real GDP is based on a fixed-weight Laspeyres chained index formula. GDP estimates in the productivity measures for the businesses producing services and for real estate, and rental and leasing exclude the rental value of owner occupied dwellings. The estimate of the total number of jobs covers four main categories: employee jobs, work owner of an unincorporated business, own account self-employment, and unpaid family jobs. The last category is found mainly in sectors where family firms are important (agriculture and retail trade, in particular). Jobs data are consistent with the System of National Accounts. This is the quarterly average of hours worked for jobs in all categories. The number of hours worked in all jobs is the quarterly average for all jobs times the annual average hours worked in all jobs. Hours worked data are consistent with the System of National Accounts. According to the retained definition, hours worked means the total number of hours that a person spends working, whether paid or not. In general, this includes regular and overtime hours, breaks, travel time, training in the workplace and time lost in brief work stoppages where workers remain at their posts. On the other hand, time lost due to strikes, lockouts, annual vacation, public holidays, sick leave, maternity leave or leave for personal needs are not included in total hours worked. Labour productivity is the ratio between real GDP and hours worked. For the estimates of productivity in the total economy, a Fisher chain index of GDP at market prices is used as measure of the output. On the other hand, in the quarterly productivity estimates for the industries, a Fisher chain index of GDP at basic prices for each industry is used as measure of the output up to the last year benchmark for which final input-output tables are available, after that by a fixed-weight volume Laspeyres chained index formula for the most recent years. The ratio between total compensation for all jobs, and the number of hours worked. The term hourly compensation" is often used to refer to the total compensation per hour worked." This measures the cost of labour input required to produce one unit of output, and equals labour compensation in current dollars divided by the real output. It is often calculated as the ratio of labour compensation per hour worked and labour productivity. Unit labour cost increases when labour compensation per hour worked increases more rapidly than labour productivity. It is widely used to measure inflation pressures arising from wage growth. The measure of real value added used in the labour unit cost estimation is based on a Fisher chain index excluding the rental value of owner occupied dwellings. The North American Industry Classification System (NAICS) is an industry classification system developed by the statistical agencies of Canada, Mexico and the United States. Created against the background of the North American Free Trade Agreement, it is designed to provide common definitions of the industrial structure of the three countries and a common statistical framework to facilitate the analysis of the three economies. NAICS is based on supply side or production oriented principles, to ensure that industrial data, classified to NAICS, is suitable for the analysis of production related issues such as industrial performance. Since 1997, the System of National Accounts' (SNA) input-output industry classification system is based on NAICS. In the National Accounts industries, the levels of the different classification systems were chosen so as to provide the most detail possible in order to maximise continuity with the previous classification systems used in Statistics Canada since 1961. Therefore, the greatest level of detail that is available over time occurs at the L level of aggregation, which corresponds, to 105 industries. This L level can also be aggregated to the M level (medium - 56 industries) and to the S level (small - 21 industries). This combines the business establishments of the North American Industry Classification System (NAICS) codes 11, 21, 22, 23, 31-33. This combines the business establishments of the North American Industry Classification System (NAICS) codes 41, 44-45, 48-49, 51, 52, 53, 54, 55, 56, 61, 62, 71, 72, 81. The Gross Domestic Product (GDP) used to measure productivity excludes rent value for owner occupied dwellings from the business service producing industries. This combines the business establishments of the North American Industry Classification System (NAICS) code 53. The gross domestic product (GDP) used to measure productivity excludes rent value for owner occupied dwellings from this industry code. This combines the business establishments of the North American Industry Classification System (NAICS) codes 61, 62, 81. This combines the part of non-business establishments of the North American Industry Classification System (NAICS) codes 11-91, but also including the owner occupied dwellings industry and the private households. Total economic activities that have been realized within the country. That covers both business and non-business sectors. Unit labour cost in United States dollars is the equivalent of the ratio of Canadian unit labour cost to the exchange rate. This latter corresponds to the United States dollar value expressed in Canadian dollars. This combines the business establishments of the North American Industry Classification System (NAICS) codes 52 and 55.

Canada’s security services industry is experiencing shifting market conditions shaped by economic pressures, emerging growth sectors and broader volatility. Demand has surged from vital markets such as oil, gas and manufacturing, particularly in Alberta, as companies boost spending on safety and site protection. Meanwhile, shifts in economic conditions have enhanced volatility in recent years. Enhanced concerns about public safety led to a substantial rise in demand for security services in the late 2010s and early 2020s, resulting in a notable increase in revenue in 2020 despite disruptions related to the COVID-19 pandemic. Elevated corporate profit during the economic recovery enabled providers to invest more heavily in security services, aiding revenue growth in 2021, though high inflation pushed revenue downward in 2022, as many buyers had to cut out some expenditures on security services to afford increasingly expensive necessities. More recently, high interest rates and recessionary fears temporarily weakened demand, causing revenue to continue to drop in 2023 and 2024, though anticipated Bank of Canada rate cuts could revive demand in 2025 and the years following. Stable government contracts from various agencies in Canada have cushioned revenue fluctuations, enabling providers to sustain investments in technology and workforce training. Rising hospital traffic and an aging population have also bolstered the need for on-site guards and specialized healthcare security services. Overall, revenue for security companies in Canada has waned at a CAGR of 1.4% over the last five years, reaching CA$8.3 billion in 2025. This includes a 0.3% increase in revenue in that year. Providers are anticipated to face new opportunities and challenges moving forward. Recent US trade policies, including new tariffs under the Trump administration, are expected to weigh on Canada’s economy and the security services sector. Because over three-quarters of Canadian exports go to the United States, reduced competitiveness and retaliatory tariffs have the potential to lower Canada’s GDP, ultimately constraining downstream demand and revenue growth. Nonetheless, projected long-term economic growth in Canada and outsourcing trends will help sustain revenue, as public agencies will increasingly rely on private security to meet operational needs. Rapid technological advances, however, will intensify competition from remote monitoring systems and automated surveillance tools. Despite slower job growth, rising wages for experienced guards and moderation in inflation could strengthen profitability, setting the stage for steady industry growth beyond 2025. Overall, revenue for Canadian security services businesses is forecast to rise at a CAGR of 1.0% in the next five years, reaching CA$8.8 billion in 2030.

This Gallup poll aims to collect the opinions of Canadians, on topics currently of interest to them, and the government. While there are some questions directly about politics and political leaders, the majority of the variables deal with current events topics, and subjects of political importance. Other subjects include birth control, development of the country, unions, and lotteries. The respondents were also asked questions so that they could be grouped according to geographic and social variables. Topics of interest include: American investment in Canada; birth control pills; whether Canada is becoming socialistic; changes in the cost of living; the development of Canada as a nation; federal elections; John Diefenbaker's performance as leader of the opposition; L.B. Johnson's performance as the President of the United States; labour union politics; Lester Pearson's performance as Prime Minister; a lottery to help pay for health and welfare; Tommy Douglas' performance as leader of the NDP; union membership; and voting behaviour. Basic demographics variables are also included.

Vending machine operators have struggled to keep pace with changing consumer tastes, resulting in contracting revenue. Downstream consumers have cut discretionary spending on many foods traditionally sold in vending machines, primarily soda and candy. Most consumers who did not halt spending on these goods were more likely to acquire them from grocery stores and other retailers. Consumers' price sensitivity has persisted, limiting impulse purchases of more expensive goods at vending machines. Consumer tastes have increasingly shifted toward healthier snacks not usually stocked in vending machines. While price remains crucial, consumers have shown a stronger willingness to spend on products considered premium, sustainable, organic or healthy. The growing popularity of hybrid and remote schedules for some workers and students has reduced foot traffic at industry mainstays. Online shopping has also limited the number of customers using vending machines while out shopping. Revenue is expected to slide at a CAGR of 9.6% to $227.3 million through the end of 2025, despite a slight gain of 1.1% in 2025 alone, when profit will account for 2.8% of revenue. Growing consumer spending and the priority placed on convenience illustrate the potential for vending machines that make the appropriate adjustments. Per capita soft drink consumption has fallen, causing vending machine operators to devote a greater share of space to beverages like teas, juices and coffee. Premium coffee drinks are a growing opportunity, with lattes and espresso becoming more popular. More vending machines are taking advantage of the higher price premium on healthy snacks and meal replacements to aid profit. Revenue levels are expected to bounce back slightly as foot traffic improves and operators shift their product mixes to accommodate changing tastes. Many vending machines across Canada are being updated to accept cashless payments and the product mixes are being adjusted to appeal to health-conscious consumers. Vending machines will attempt to better balance tasty snacks and healthy options, with low-sugar sodas, seltzer waters, low-sodium snacks and confections using artificial sweeteners becoming more commonly stocked. Economic growth will strengthen spending on snacks and drinks, though revenue will remain below historical values. Revenue is expected to swell at a CAGR of 0.7% to $235.4 million through the end of 2030.

Total-Other-Finance-Cost Time Series for TFI International Inc. TFI International Inc., together with its subsidiaries, provides transportation and logistics services in the United States, Mexico, and Canada. It operates through Less-Than-Truckload (LTL), Truckload (TL), and Logistics segments. The LTL segment is involved in the pickup, consolidation, transportation, and delivery of smaller loads. The TL segment offers expedited transportation, flatbed, tank, container, and dedicated services. This segment also carries full loads directly from the customer to the destination using a closed van or specialized equipment. The Logistics segment provides asset-light logistics services, including brokerage, freight forwarding, and transportation management, as well as small package parcel delivery. As of December 31, 2024, it operates 14,243 trucks, 45,453 trailers, and 7, 592 independent contractors. The company was formerly known as TransForce Inc. and changed its name to TFI International Inc. in December 2016. TFI International Inc. was founded in 1957 and is headquartered in Saint-Laurent, Canada.

Total-Other-Finance-Cost Time Series for Climb Global Solutions. Climb Global Solutions, Inc. operates as a value-added information technology (IT) distribution and solutions company in the United States, Canada, Europe, and the United Kingdom. It operates through two segments, Distribution and Solutions. The company distributes technical software to corporate and value-added resellers, consultants, and systems integrators under the name Climb Channel Solutions; and provides cloud solutions and resells software, hardware, and services under the name Grey Matter. It also resells computer software and hardware developed by others, as well as provides technical services to end user customers. In addition, the company offers a line of products from various software vendors; and tools for virtualization/cloud computing, security, networking, storage and infrastructure management, application lifecycle management, and other technically sophisticated domains, as well as computer hardware. It markets its products through its own web sites, local seminars, events, webinars, and social media, as well as direct email and printed materials. The company was formerly known as Wayside Technology Group, Inc. and changed its name to Climb Global Solutions, Inc. in October 2022. Climb Global Solutions, Inc. was incorporated in 1982 and is headquartered in Eatontown, New Jersey.

Cost-of-Goods-Sold-Including-Depreciation-and-Amortization Time Series for Campbell’s Co. The Campbell's Company, together with its subsidiaries, manufactures and markets food and beverage products in the United States and internationally. It operates through Meals & Beverages, and Snacks segments. The Meals & Beverages segment engages in the retail and foodservice businesses in the United States and Canada. This segment provides Campbell's condensed and ready-to-serve soups; Swanson broth and stocks; Pacific Foods broth, soups, and non-dairy beverages; Prego pasta sauces; Pace Mexican sauces; Campbell's gravies, pasta, beans, and dinner sauces; Swanson canned poultry; V8 juices and beverages; Campbell's tomato juice; Rao's pasta sauces, dry pasta, frozen entrées, frozen pizza, and soups; and Michael Angelo's frozen entrées and pasta sauces, as well as snacking products in foodservice in Canada. Its Snacks segment retails Pepperidge Farm cookies, crackers, fresh bakery, and frozen products, that includes Goldfish crackers, Snyder's of Hanover pretzels, Lance sandwich crackers, Cape Cod and Kettle Brand potato chips, Late July snacks, Snack Factory pretzel crisps, and other snacking products. This segment is also involved in the snacking, and meals and beverage retail business in Latin America. It sells its products through retail food chains, mass discounters and merchandisers, club stores, convenience and dollar stores, e-commerce and other retail, commercial, and non-commercial establishments, and independent contractor distributors. The company was formerly known as Campbell Soup Company and changed its name to The Campbell's Company in November 2024. The Campbell's Company was founded in 1869 and is headquartered in Camden, New Jersey.

IaC FinOps Platforms Market Outlook

According to our latest research, the Global IaC FinOps Platforms market size was valued at $1.45 billion in 2024 and is projected to reach $8.21 billion by 2033, expanding at a robust CAGR of 21.7% during the forecast period of 2025–2033. The rapid proliferation of cloud-native architectures and the widespread adoption of Infrastructure as Code (IaC) practices are significantly driving demand for FinOps platforms, which help organizations optimize cloud expenditures, improve governance, and ensure compliance in increasingly complex multi-cloud environments. The convergence of automation and financial operations (FinOps) within the DevOps ecosystem is a major factor fueling the global expansion of the IaC FinOps Platforms market, as enterprises seek to gain granular visibility and control over cloud spending while maintaining agility and innovation.

Regional Outlook

North America currently holds the largest share of the global IaC FinOps Platforms market, accounting for more than 38% of the total market value in 2024. This dominance is attributed to the region's mature cloud infrastructure, early adoption of DevOps and FinOps methodologies, and the presence of leading technology vendors and hyperscale cloud providers. Organizations across the United States and Canada are aggressively investing in cloud cost optimization and automation solutions, driven by the need to manage escalating cloud bills and ensure compliance with stringent regulatory frameworks. Additionally, North America benefits from a robust ecosystem of managed service providers and consulting firms that support the implementation and integration of IaC FinOps platforms, further solidifying its leadership position in the global market.

Asia Pacific is emerging as the fastest-growing region, projected to register a remarkable CAGR of 27.2% between 2025 and 2033. This growth is primarily propelled by the rapid digital transformation initiatives across countries such as China, India, Japan, and Australia, where enterprises are increasingly migrating workloads to the cloud and adopting DevOps practices. The region is witnessing significant investments from both local and global cloud service providers, which are expanding their data center footprints and offering localized FinOps solutions tailored to the unique regulatory and operational requirements of Asia Pacific markets. The surge in new startups and the rise of digital-native enterprises are further accelerating the adoption of IaC and FinOps platforms, as organizations strive to maintain cost efficiency and operational agility in competitive markets.

In contrast, Latin America, the Middle East, and Africa are characterized by emerging economies where adoption of IaC FinOps platforms faces several challenges, including limited cloud infrastructure, skills shortages, and fragmented regulatory landscapes. While there is growing awareness of the benefits of cloud cost optimization and automation, many organizations in these regions remain at the early stages of cloud adoption and digital transformation. Localized demand is often driven by large enterprises and multinational corporations seeking to streamline operations and improve governance, but broader market penetration is constrained by budgetary limitations and the need for tailored solutions that address specific regulatory and compliance requirements. Nevertheless, targeted policy reforms and increasing investment in digital infrastructure are expected to gradually unlock new growth opportunities in these regions over the forecast period.

Report Scope

ML Cost Optimization Market Outlook

According to our latest research, the Global ML Cost Optimization market size was valued at $2.8 billion in 2024 and is projected to reach $13.6 billion by 2033, expanding at a robust CAGR of 18.9% during the forecast period from 2025 to 2033. One major factor fueling the growth of this market is the exponential increase in machine learning adoption across sectors, which has made cost control and operational efficiency critical priorities for enterprises of all sizes. As organizations scale their AI and ML initiatives, the need for sophisticated cost optimization tools and services becomes essential to maximize ROI, manage resource allocation, and ensure sustainable deployment of advanced analytics solutions. This growing demand is further amplified by the proliferation of cloud-based ML platforms and the increasing complexity of ML workflows, which require continuous monitoring, optimization, and cost governance.

Regional Outlook

North America currently holds the largest share of the ML Cost Optimization market, accounting for approximately 37% of global revenue in 2024. The region's dominance is attributed to the presence of mature technology ecosystems, a high concentration of AI-driven enterprises, and early adoption of cloud computing and automation technologies. Leading organizations across the United States and Canada are investing heavily in ML infrastructure, driving demand for advanced cost management solutions to control escalating operational expenses. Furthermore, favorable government policies supporting digital transformation and the presence of key market players such as Microsoft, Google, and AWS have accelerated innovation and market growth. North American enterprises are also leveraging ML cost optimization to gain competitive advantages, streamline operations, and comply with evolving regulatory frameworks around data and resource utilization.

Asia Pacific is emerging as the fastest-growing region in the ML Cost Optimization market, with a projected CAGR of 22.8% from 2025 to 2033. This remarkable growth is driven by increasing investments in AI and ML research, rapid digitalization of industries, and a surge in cloud adoption across countries like China, India, Japan, and South Korea. Governments in the region are implementing ambitious AI strategies and offering incentives for technology adoption, which is encouraging both large enterprises and SMEs to deploy ML solutions at scale. The expansion of local cloud service providers and the entry of global technology giants into the Asia Pacific market have further intensified competition, leading to a greater focus on cost optimization tools to manage complex, large-scale ML workloads. These trends are expected to sustain the region’s leadership in ML cost optimization adoption over the coming decade.

In contrast, emerging economies in Latin America, the Middle East, and Africa are witnessing gradual but steady adoption of ML cost optimization solutions. While these regions collectively account for a smaller share of the global market, their potential for growth is significant, driven by increasing awareness of AI benefits, localization of ML applications, and the entry of international technology vendors. However, challenges such as limited technical expertise, budget constraints, and varying regulatory environments can hinder rapid adoption. Local enterprises are increasingly focusing on resource-efficient ML deployments and leveraging cloud-based solutions to overcome infrastructure limitations. As policy frameworks evolve and digital literacy improves, these regions are expected to contribute more substantially to the global ML cost optimization market in the forecast period.

Report Scope

Total-Other-Finance-Cost Time Series for Intercontinental Exchange Inc. Intercontinental Exchange, Inc., together with its subsidiaries, provides technology and data to financial institutions, corporations, and government entities in the United States, the United Kingdom, the European Union, India, Israel, Canada, and Singapore. It operates through three segments: Exchanges, Fixed Income and Data Services, and Mortgage Technology. The Exchanges segment operates regulated marketplace technology for the listing, trading, and clearing of an array of derivatives contracts and financial securities, as well as data and connectivity services related to its exchanges and clearing houses. The Fixed Income and Data Services segment provides fixed income pricing, reference data, indices, analytics, and execution services, as well as global CDS clearing and multi-asset class data delivery technology. The Mortgage Technology segment offers a technology platform that provides customers comprehensive and digital workflow tools to address inefficiencies and mitigate risks that exist in the U.S. residential mortgage market life cycle from application through closing, servicing, and the secondary market. The company was founded in 2000 and is headquartered in Atlanta, Georgia.