In 2023, software and tech hosting/cloud services/MSP companies had a much higher spending share on IT than other industries, amounting to ** percent and ** percent of their revenues, respectively. By contrast, the consumer products and services industry invested only around **** percent of their revenue in IT. Overall, all industries increased their IT spending per revenue share in 2023 compared to the previous year. Cloud computing Cloud computing is an essential IT service that utilizes a network of distant servers hosted over the Internet to store, handle, and process data. This segment of IT services was projected to generate revenues exceeding *** billion U.S. dollars in 2024 and is expected to continue its rapid growth trajectory. Managed Services Providers (MSPs) provide companies with the expertise and technical support to manage their cloud infrastructure and products without the need for in-house specialists. Cloud computing is segmented into three main categories. Software as a Service (SaaS) delivers software applications over the Internet, on a subscription basis, freeing companies from software and hardware management. Infrastructure as a Service (IaaS) offers a virtualized computing infrastructure managed over the Internet, allowing businesses to avoid the costs and complexities of purchasing and managing physical servers and data center infrastructure. Platform as a Service (PaaS) provides a platform allowing customers to develop, run, and manage applications without the complexity of building and maintaining the infrastructure.

This dataset compares information technology (IT) spending by Technology Tower in the State of Washington against industry benchmarks. Benchmarking is an analysis tool to assess where IT spending may be high or low compared to peers; this data contributes to informed decision making of future IT investments and IT strategy by agency leadership, Washington Technology Solutions (WaTech), and the legislature. IT spend data is provided by WaTech's Technology business management (TBM) program; a required program per RCW 43.105.054. Amounts are shown as a percentage of the organization’s total IT operating expenses.

This dataset compares information technology (IT) spending by Cost Pool in the State of Washington against industry benchmarks. Benchmarking is an analysis tool to assess where IT spending may be high or low compared to peers; this data contributes to more informed decision making of future IT investments and IT strategy by agency leadership, Washington Technology Solutions (WaTech) and the legislature. IT spend data is provided by WaTech's Technology business management (TBM) program; a required program per RCW 43.105.054. Amounts are shown as a percentage of the total IT operating expenses.

The global information technology (IT) spending on devices, including PCs, tablets, mobile phones, printers, as well as data center systems, software, and communications services came to *** trillion U.S. dollars in 2024. By 2025, IT spending is expected to increase to a staggering *** trillion dollars worldwide. IT services and communication services take the largest share of spending Both IT services and communication services receive the largest amounts of investments, as these segments include a large array of different services and tools that remain cornerstones to different business functions. For example, different unified communication services are vital to connecting employees virtually and therefore enhance business productivity. Spending on IT segments accelerates digital transformation In general, spending on the different IT segments is expected to grow, accelerating digital transformation across various industries. Digital transformation encompasses the utilization of artificial intelligence, process automation, and moving data to the cloud, for example. These processes are empowered by strategic spending on and deployment of different information technologies.

The IT Benchmarking Services market is experiencing robust growth, driven by the increasing need for organizations to optimize IT operations and enhance efficiency. The market, estimated at $15 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033, reaching an estimated $45 billion by 2033. This growth is fueled by several key factors. Firstly, the rising adoption of cloud computing and digital transformation initiatives compels businesses to regularly assess their IT performance against industry best practices. Secondly, the increasing complexity of IT infrastructures, including diverse software and hardware components, necessitates professional benchmarking services to identify bottlenecks and areas for improvement. Finally, the growing pressure to reduce IT costs and enhance Return on Investment (ROI) is further driving demand for these services. The market is segmented by application (SMEs and Large Enterprises) and service type (Internal and External Benchmarking). Large enterprises currently dominate the market due to their higher IT budgets and greater need for comprehensive performance analysis. However, the SME segment is expected to witness significant growth in the coming years, driven by increasing cloud adoption and the availability of cost-effective benchmarking solutions. While internal benchmarking services offer cost advantages, external benchmarking services provide valuable industry insights and best-practice comparisons, attracting organizations seeking to gain a competitive edge. Geographically, North America and Europe currently hold the largest market share, but the Asia-Pacific region is predicted to showcase the fastest growth due to rapid IT adoption and economic expansion in countries like China and India. Competition within the market is intense, with established players like Gartner, Forrester, and IDC vying for market share alongside specialized providers such as Avasant, BMC Software, and The Hackett Group.

During an August to October 2023 survey, ** percent of responding fashion industry professionals from the United States, the United Kingdom and China stated that they were planning to invest more in brand marketing in 2024. Another ** percent of the same group of respondents were planning to do the same for performance marketing.

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Corporate Performance Management (CPM) Software Market Size 2025-2029

The corporate performance management (cpm) software market size is forecast to increase by USD 2.31 billion, at a CAGR of 13% between 2024 and 2029.

The market is witnessing significant growth, driven by the increasing adoption of artificial intelligence (AI) technology. AI-enabled CPM solutions offer advanced capabilities, such as predictive analytics and automated reporting, enabling organizations to make data-driven decisions and improve operational efficiency. However, the implementation of these sophisticated systems necessitates extensive technical training for users, posing a challenge for smaller businesses and organizations with limited resources. Moreover, the market is witnessing a trend towards cloud-based CPM solutions, offering greater flexibility, scalability, and cost savings. However, concerns around data security and privacy remain a significant obstacle, as organizations grapple with the challenges of managing and protecting sensitive financial data in the cloud. To capitalize on the opportunities presented by this market, companies must invest in employee training and education, while also addressing data security concerns through robust security protocols and compliance measures. Effective implementation of CPM software can lead to improved financial forecasting, increased operational efficiency, and enhanced strategic decision-making.

What will be the Size of the Corporate Performance Management (CPM) Software Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free SampleCorporate Performance Management (CPM) software continues to evolve, integrating advanced technologies and capabilities to meet the dynamic needs of businesses across various sectors. Predictive modeling, business intelligence, reporting and analytics, scenario planning, data privacy, data quality, variance analysis, financial reporting, data visualization, and other features are seamlessly integrated into comprehensive solutions. Cloud computing and process automation are driving operational efficiency, enabling real-time data access and integration from multiple sources. User experience (UX) and user interface (UI) design are prioritized to ensure ease of use and adoption. Data security and privacy are paramount, with robust data governance and role-based access control ensuring the protection of sensitive information. Alerts and notifications provide proactive insights, while support services and mobile access ensure uninterrupted performance management. Financial planning and strategic planning are enhanced through profitability analysis, financial consolidation, and driver-based planning. Collaboration tools facilitate teamwork and data modeling, while implementation services and deployment options cater to diverse organizational needs. Continuous innovation and adaptation characterize the CPM software market, as entities strive to meet the evolving demands of businesses in an increasingly complex business landscape.

How is this Corporate Performance Management (CPM) Software Industry segmented?

The corporate performance management (cpm) software industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. DeploymentOn-premisesCloud basedBusiness SegmentLarge enterprisesSMEsEnd-userBFSIRetail and e-commerceManufacturingHealthcareOthersGeographyNorth AmericaUSCanadaEuropeFranceGermanyItalyUKAPACChinaIndiaJapanSouth KoreaRest of World (ROW).

By Deployment Insights

The on-premises segment is estimated to witness significant growth during the forecast period.The market encompasses various solutions designed to optimize business operations, financial planning, and strategic decision-making. Machine learning algorithms are increasingly integrated into CPM systems, enabling predictive analytics and advanced data modeling for improved profitability analysis and scenario planning. Cost management remains a significant focus, with solutions offering real-time data integration, data warehousing, and financial consolidation to streamline processes and enhance operational efficiency. Consulting services play a crucial role in CPM software implementation, ensuring user training, data governance, and role-based access control. User interface (UI) design is essential for user experience (UX), with workflow automation and mobile access becoming increasingly important for user convenience. Data security is a priority, with predictive modeling and artificial intelligence (AI) utilized for data privacy and data quality management. Cloud computing and hybrid deployment models offer flexibility a

Total Spend Management Software Market size was valued at USD 21.10 Billion in 2024 and is projected to reach USD 57 Billion By 2032, growing at a CAGR of 11.9% during the forecast period 2026 to 2032.

Global Total Spend Management Software Market Drivers

The market drivers for the Total Spend Management Software Market can be influenced by various factors. These may include:

Cost Optimization Imperative: As businesses look to save expenses across a range of expenditure categories, spend management software is becoming more and more popular. These solutions help with overall cost reduction initiatives by providing insights into spending patterns, pointing out areas for cost savings, and streamlining the procurement process. Digitization of Procurement Operations: Spend management software adoption is being propelled by the digital transformation of procurement operations. Companies are moving away from manual, paper-based processes and toward automated ones in an effort to improve the accuracy, efficiency, and transparency of their expense management. Focus on Strategic Sourcing: In order to improve supplier connections, bargain for better terms, and reduce risks, organizations are putting more of a focus on strategic sourcing techniques. Spend management software's adoption is fueled by its ability to support strategic sourcing tasks including contract administration, supplier collaboration, and supplier performance review. Regulatory Compliance Obligations: One of the most important parts of procurement operations is adhering to regulatory standards and reporting obligations. By assuring compliance with laws like Sarbanes-Oxley (SOX), GDPR, and industry-specific standards, spend management software lowers the risk of noncompliance and associated fines. Demand for Real-time Analytics: The use of expenditure management software is being driven by the demand for actionable insights obtained from real-time data. With the help of these solutions, which include sophisticated analytics features like spend visibility, forecasting, and trend analysis, businesses can take well-informed decisions and forward important initiatives. Supplier Relationship Management (SRM): Maintaining a robust supply chain and company continuity depend on efficient management of supplier relationships. Through the facilitation of cooperation, performance monitoring, and risk assessment, spend management software enhances supply chain efficiency and supplier involvement. Growth of Cloud-based Solutions: Compared to on-premises options, cloud-based spend management software solutions are more affordable up front and have greater scalability and accessibility. Cloud-based platforms are becoming more and more popular among organizations as a way to improve collaboration, expedite procurement processes, and save IT infrastructure costs. Integration with ERP Systems: Enterprise resource planning (ERP) system integration skills are quickly becoming a critical need for expenditure management software. Data synchronization between finance, procurement, and other business activities is made possible by seamless integration, which also improves process efficiency and offers a single picture of corporate spending. Sustainable Procurement: The procurement procedures are being influenced by the growing awareness of corporate social responsibility (CSR) and sustainability. In order to meet their sustainability objectives, spend management software can assist businesses in tracking and analyzing sustainability metrics including carbon footprint, supplier diversification, and ethical sourcing procedures. Emergence of Automation and AI: Spend management procedures are changing as a result of the combination of automation and artificial intelligence (AI) technology. Predictive analytics, cognitive sourcing, and robotic process automation (RPA) are examples of AI-powered technologies that improve expenditure management workflows, automate repetitive tasks, and improve decision-making.

This table contains 994 series, with data for years 1961 - 1997 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...) Prices (2 items: Current prices; 1992 constant prices ...) Sector (3 items: Business sector; Non-business sector; Total economy ...) Industry (221 items: Agricultural and related services industries (S-level aggregation); Agricultural and related services industries (M-level aggregation); Agricultural and related services industries (L-level aggregation); Fishing and trapping industries (S-level aggregation) ...).

Budget 2022 proves a promising outlook for Canadians seeking affordable living costs.

US: Civil Budget R&D: % of Total GBARD data was reported at 51.314 % in 2024. This records an increase from the previous number of 50.925 % for 2023. US: Civil Budget R&D: % of Total GBARD data is updated yearly, averaging 50.906 % from Dec 1981 (Median) to 2024, with 44 observations. The data reached an all-time high of 59.015 % in 2014 and a record low of 30.654 % in 1986. US: Civil Budget R&D: % of Total GBARD data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.MSTI: Government Budgets for Research and Development: OECD Member: Annual.

For the United States, from 2021 onwards, changes to the US BERD survey questionnaire allowed for more exhaustive identification of acquisition costs for ‘identifiable intangible assets’ used for R&D. This has resulted in a substantial increase in reported R&D capital expenditure within BERD. In the business sector, the funds from the rest of the world previously included in the business-financed BERD, are available separately from 2008. From 2006 onwards, GOVERD includes state government intramural performance (most of which being financed by the federal government and state government own funds). From 2016 onwards, PNPERD data are based on a new R&D performer survey. In the higher education sector all fields of SSH are included from 2003 onwards.

Following a survey of federally-funded research and development centers (FFRDCs) in 2005, it was concluded that FFRDC R&D belongs in the government sector - rather than the sector of the FFRDC administrator, as had been reported in the past. R&D expenditures by FFRDCs were reclassified from the other three R&D performing sectors to the Government sector; previously published data were revised accordingly. Between 2003 and 2004, the method used to classify data by industry has been revised. This particularly affects the ISIC category “wholesale trade” and consequently the BERD for total services.

U.S. R&D data are generally comparable, but there are some areas of underestimation:

1. i) Up to 2008, Government sector R&D performance covers only federal government activities. That by State and local government establishments is excluded;
2. ii) Except for the Government and the Business Enterprise sectors, the R&D data exclude most capital expenditures. For the Business Enterprise sector, depreciation is reported in place of gross capital expenditures up to 2014. Higher education (and national total) data were revised back to 1998 due to an improved methodology that corrects for double-counting of R&D funds passed between institutions.

Breakdown by type of R&D (basic research, applied research, etc.) was also revised back to 1998 in the business enterprise and higher education sectors due to improved estimation procedures.

The methodology for estimating researchers was changed as of 1985. In the Government, Higher Education and PNP sectors the data since then refer to employed doctoral scientists and engineers who report their primary work activity as research, development or the management of R&D, plus, for the Higher Education sector, the number of full-time equivalent graduate students with research assistantships averaging an estimated 50 % of their time engaged in R&D activities. As of 1985 researchers in the Government sector exclude military personnel. As of 1987, Higher education R&D personnel also include those who report their primary work activity as design.

Due to lack of official data for the different employment sectors, the total researchers figure is an OECD estimate up to 2019. Comprehensive reporting of R&D personnel statistics by the United States has resumed with records available since 2020, reflecting the addition of official figures for the number of researchers and total R&D personnel for the higher education sector and the Private non-profit sector; as well as the number of researchers for the government sector. The new data revise downwards previous OECD estimates as the OECD extrapolation methods drawing on historical US data, required to produce a consistent OECD aggregate, appear to have previously overestimated the growth in the number of researchers in the higher education sector.

Pre-production development is excluded from Defence GBARD (in accordance with the Frascati Manual) as of 2000. 2009 GBARD data also includes the one time incremental R&D funding legislated in the American Recovery and Reinvestment Act of 2009. Beginning with the 2000 GBARD data, budgets for capital expenditure – “R&D plant” in national terminology - are included. GBARD data for earlier years relate to budgets for current costs only.

According to Cognitive Market Research, the global IT Spending in Automotive market size is USD 15481.2 million in 2024 and will expand at a compound annual growth rate (CAGR) of 6.00% from 2024 to 2031.

North America held the major market of more than 40% of the global revenue with a market size of USD 6192.48 million in 2024 and will grow at a compound annual growth rate (CAGR) of 4.2% from 2024 to 2031.
Europe accounted for a share of over 30% of the global market size of USD 4644.36 million.
Asia Pacific held the market of around 23% of the global revenue with a market size of USD 3560.68 million in 2024 and will grow at a compound annual growth rate (CAGR) of 8.0% from 2024 to 2031.
Latin America market of more than 5% of the global revenue with a market size of USD 774.06 million in 2024 and will grow at a compound annual growth rate (CAGR) of 5.4% from 2024 to 2031.
Middle East and Africa held the major market of around 2% of the global revenue with a market size of USD 309.62 million in 2024 and will grow at a compound annual growth rate (CAGR) of 5.7% from 2024 to 2031.
The Services held the highest IT Spending in Automotive market revenue share in 2024.

Market Dynamics of IT Spending in the Automotive Market

Key Drivers for IT Spending in the Automotive Market

Global Economic Trends Propel Market Growth

Global economic trends, including GDP growth, interest rates, and consumer confidence, significantly impact spending patterns in the automotive market. During periods of economic expansion, consumers tend to have higher disposable incomes, leading to increased demand for new vehicles and optional features. Conversely, economic downturns can dampen consumer sentiment and curb spending on big-ticket items like automobiles, prompting automakers to adjust production levels and marketing strategies accordingly. Supply chain disruptions, geopolitical tensions, and natural disasters can also influence spending within the automotive industry by affecting production capacities, raw material prices, and supply chain logistics. Uncertainties surrounding trade agreements and tariffs can further exacerbate these challenges, prompting automakers to reevaluate sourcing strategies and production footprints to mitigate risks and ensure business continuity.

Restraint Factor for IT Spending in the Automotive Market

High Cost of Treatment to Limit the Sales

One significant restraint on IT spending in the automotive market is the high cost of technological integration and development. As vehicles become more complex and connected, automakers must invest heavily in research and development to stay competitive. This includes developing advanced driver-assistance systems (ADAS), electric vehicle (EV) technology, connectivity features, and autonomous driving capabilities. The substantial upfront investment required for these technologies can strain budgets and slow down IT spending in other areas. Moreover, the automotive industry operates within a highly regulated environment, which imposes stringent safety, emissions, and cybersecurity standards. Compliance with these regulations not only adds to the cost of vehicle production but also necessitates ongoing investments in testing, certification, and regulatory compliance management. Failure to meet regulatory requirements can result in costly fines, recalls, and reputational damage, further constraining IT spending as resources are diverted toward remediation efforts.

Opportunity for IT Spending in the Automotive Market

Technological Advancements to Increase the Demand Globally

Technological advancements have also been instrumental in driving spending within the automotive industry. The emergence of electric and hybrid vehicles has led to substantial investments in research and development to enhance battery efficiency, charging infrastructure, and overall performance. Similarly, the integration of artificial intelligence (AI), the Internet of Things (IoT), and advanced driver-assistance systems (ADAS) has transformed the driving experience, prompting automakers to allocate resources towards developing and integrating these technologies into their vehicles. Furthermore, regulatory changes aimed at reducing emissions and enhancing safety standards have compelled automakers to invest in the development of cleaner and more efficient propulsion systems, such as electric powertrains and hydrog...

In 2022, the highest share of research and development spending (R&D) was made within the hardware technology producing industry, accounting for a total of nearly ** percent of the global R&D spending. The health sector and software producers followed in second at nearly ** percent each. In total, global R&D spending reached *** trillion U.S. dollars in 2022. Health industry and COVID-19 The high share spent by the health industry must be seen in relation with the COVID-19 pandemic that started spreading in late 2019 and caused deaths, lockdowns, and restrictions throughout 2020 and onwards. As governments and pharmaceutical companies sought to find an efficient vaccine against the virus, investment in research continued to increase. However, regardless of the pandemic, R&D spending within health care is essential in order to combat a variety of diseases, from small pox via malaria to cancer. Information and communication technology As people around the world become more and more dependent on information and communication technology, research spending by companies producing hardware and software continues to increase as these seek to further develop. For instance, all the seven companies with the highest R&D spending in 2022 were either software or hardware producing companies. The largest single investor was the software giant ******.

Dive into the announcements in the Autumn Budget 2024 and the key industries affected.

Explore the current economic landscape of the Canada and assess the performance of various industries during the second half of 2023.

US: Civil GBARD: Current PPP: Non-Oriented Research Programmes data was reported at 15.419 USD bn in 2024. This records a decrease from the previous number of 15.701 USD bn for 2023. US: Civil GBARD: Current PPP: Non-Oriented Research Programmes data is updated yearly, averaging 6.479 USD bn from Dec 1981 (Median) to 2024, with 44 observations. The data reached an all-time high of 16.390 USD bn in 2022 and a record low of 1.340 USD bn in 1981. US: Civil GBARD: Current PPP: Non-Oriented Research Programmes data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s United States – Table US.OECD.MSTI: Government Budgets for Research and Development: OECD Member: Annual.

For the United States, some respondents revised their reporting practices and eliminated expenditures that did not meet the definition of R&D during the 2023 BERD data collection. This has resulted in a meaningful decrease in estimated U.S. R&D performance compared to the amount of 2023 R&D performance that would have been estimated based on respondent reporting practices used in 2022 and earlier..From 2021 onwards, changes to the US BERD survey questionnaire allowed for more exhaustive identification of acquisition costs for ‘identifiable intangible assets’ used for R&D. This has resulted in a substantial increase in reported R&D capital expenditure within BERD. In the business sector, the funds from the rest of the world previously included in the business-financed BERD, are available separately from 2008. From 2006 onwards, GOVERD includes state government intramural performance (most of which being financed by the federal government and state government own funds). From 2016 onwards, PNPERD data are based on a new R&D performer survey. In the higher education sector all fields of SSH are included from 2003 onwards.

Following a survey of federally-funded research and development centers (FFRDCs) in 2005, it was concluded that FFRDC R&D belongs in the government sector - rather than the sector of the FFRDC administrator, as had been reported in the past. R&D expenditures by FFRDCs were reclassified from the other three R&D performing sectors to the Government sector; previously published data were revised accordingly. Between 2003 and 2004, the method used to classify data by industry has been revised. This particularly affects the ISIC category “wholesale trade” and consequently the BERD for total services.

U.S. R&D data are generally comparable, but there are some areas of underestimation:

1. i) Up to 2008, Government sector R&D performance covers only federal government activities. That by State and local government establishments is excluded;
2. ii) Except for the Government and the Business Enterprise sectors, the R&D data exclude most capital expenditures. For the Business Enterprise sector, depreciation is reported in place of gross capital expenditures up to 2014. Higher education (and national total) data were revised back to 1998 due to an improved methodology that corrects for double-counting of R&D funds passed between institutions.

Breakdown by type of R&D (basic research, applied research, etc.) was also revised back to 1998 in the business enterprise and higher education sectors due to improved estimation procedures.

The methodology for estimating researchers was changed as of 1985. In the Government, Higher Education and PNP sectors the data since then refer to employed doctoral scientists and engineers who report their primary work activity as research, development or the management of R&D, plus, for the Higher Education sector, the number of full-time equivalent graduate students with research assistantships averaging an estimated 50 % of their time engaged in R&D activities. As of 1985 researchers in the Government sector exclude military personnel. As of 1987, Higher education R&D personnel also include those who report their primary work activity as design.

Due to lack of official data for the different employment sectors, the total researchers figure is an OECD estimate up to 2021. As of 2022, it is based on official personnel data available for all sectors. For years 2020 and 2021, it is based on official personnel data available for the business, PNP and Higher Education sectors, and OECD estimates for the Government sector (for estimating the missing FFRDC component). For previous years, OECD estimates were readjusted back to 2000.

The government personnel data includes the state government R&D personnel from 2021 and FFRDC R&D personnel from 2022. However, 8 FFRDC centres are not included as they could not report their R&D personnel data. These 8 centres account for 24% of the total R&D expenditure of all FFRDCs in 2022. Pre-production development is excluded from Defence GBARD (in accordance with the Frascati Manual) as of 2000. 2009 GBARD data also includes the one time incremental R&D funding legislated in the American Recovery and Reinvestment Act of 2009. Beginning with the 2000 GBARD data, budgets for capital expenditure – “R&D plant” in national terminology - are included. GBARD data for earlier years relate to budgets for current costs only.

Serbia Banking Sector: Cost to Income Ratio data was reported at 60.840 % in Mar 2018. This records an increase from the previous number of 59.870 % for Dec 2017. Serbia Banking Sector: Cost to Income Ratio data is updated quarterly, averaging 67.315 % from Dec 2003 (Median) to Mar 2018, with 56 observations. The data reached an all-time high of 101.250 % in Sep 2004 and a record low of 57.950 % in Mar 2017. Serbia Banking Sector: Cost to Income Ratio data remains active status in CEIC and is reported by National Bank of Serbia. The data is categorized under Global Database’s Serbia – Table RS.KB011: Banking Sector Performance Indicators.

The United States Manufacturing sector has enjoyed revenue growth over the past five years. A diversified demand across various downstream markets contributed to this performance, with the automotive, electronics and consumer goods industries playing pivotal roles. Technological advancements, particularly in production automation, have significantly enhanced efficiency. The introduction of automated assembly lines and robotics has reduced labor costs and minimized human error. Additive manufacturing, or 3D printing, has enabled rapid prototyping and customization, catering to specific consumer needs. Lean manufacturing techniques have streamlined operations, cutting waste and improving product quality. The sector maintained positive revenue trajectories despite fluctuating commodity prices and increasing regulatory pressures. Global supply chains supported this expansion, with continued importance placed on logistics optimization. The impact of trade agreements like the United States-Mexico-Canada Agreement (USMCA), established in 2020, has also been a critical factor. Innovations like predictive maintenance and leveraging data analytics to foresee equipment failures have optimized operational performance and downtime. These developments have allowed manufacturers to adapt quickly to changing market demands. Over the past five years, the manufacturing sector has faced profit challenges despite revenue expansion, mainly because of rising purchase costs. Higher crude oil prices directly impacted raw material costs and logistics expenses. In response, companies increasingly adopted energy-efficient technologies, such as connected device networks, to control utility costs. Advanced materials like composites and lightweight alloys provided cost-effective alternatives for component manufacturing. One significant regulatory change, the 2018 Tariffs on Steel and Aluminum, increased material costs, prompting companies to seek alternative sourcing strategies. Companies focused on supply chain optimization, employing analytics for precise demand forecasting and inventory management, reducing excess costs. Investments in process automation aimed to minimize manual intervention and enhance throughput rates. The deployment of just-in-time production reduced inventory holding costs, aligning production schedules closely with demand fluctuations. Although consumer demand supported sales volumes, pricing pressures persisted amid competitive market dynamics. To address sustainability mandates, manufacturing processes integrated circular economy principles such as recycling and reuse, aligning cost savings with compliance. Technological advancements like cloud-based ERP systems improved planning and resource allocation, directly impacting financial performance. Manufacturing sector revenue has been expanding at a CAGR of 1.8% over the past five years and is expected to total $6,941.2 billion in 2025, when revenue will fall by an estimated 4.1%. The sector's revenue will exhibit moderate growth over the next five years. Innovation and technology will be crucial drivers, especially with the increased adoption of artificial intelligence and connected device ecosystems in manufacturing operations. Automation and robotics will enhance production efficiency and flexibility, addressing the complexities of modern consumer demands. Continuous developments in machine learning will improve process optimization and quality control standards. Digitalization and smart factory initiatives will transform traditional workflows, driving productivity gains through real-time data insights and transparent operations. Exploration of augmented reality tools will aid in maintenance and training processes, reducing downtime and error rates. Companies will diversify revenue streams by adopting mass customization strategies that appeal to dynamic consumer preferences. Despite these advancements, profit will remain under pressure from continued volatility in raw material costs tied to geopolitical shifts. Environmental regulations like the 2020 Clean Air Act Provisions will continue to push companies toward low-emission technologies. Global trade dynamics, including tariffs and changing consumer expectations, will influence strategic decisions and market positioning. Downstream market performance will continue to impact production planning and inventory management, emphasizing agility and responsiveness. Manufacturing sector revenue is expected to inch upward at a CAGR of 0.4% to $7,086.7 billion over the five years to 2030.

This data provides a time series for the output performance measures as published in Budget Paper No. 3 for the years 2014-15, 2013-14, 2012-13, 2011-12, 2010-11 and 2009-10.
Historical performance measures have been matched to the 2014-15 output structure to provide a relevant time series for the same measure, even where they have been renamed or restructured over time.
Measures that have been discontinued are not included, except for measures that are proposed to be discontinued in the 2014-15 Budget (Appendix A).
Detailed explanations for the creation of new measures or discontinuation of existing measures from a particular year are available in Budget Paper No. 3 for the relevant year.

Autoparts Industry Performance: Production Cost Structure: Raw Materials data was reported at 50.800 % in 2018. This records a decrease from the previous number of 52.400 % for 2017. Autoparts Industry Performance: Production Cost Structure: Raw Materials data is updated yearly, averaging 58.150 % from Dec 2005 (Median) to 2018, with 14 observations. The data reached an all-time high of 63.100 % in 2006 and a record low of 50.800 % in 2018. Autoparts Industry Performance: Production Cost Structure: Raw Materials data remains active status in CEIC and is reported by Brazilian Autoparts Manufacturers Association. The data is categorized under Brazil Premium Database’s Automobile Sector – Table BR.RAT002: Autoparts Industry Performance. ABCD: Refers to the cities of Santo André, São Bernardo do Campo, São Caetano do Sul e Diadema respectively. Metropolitan Area of Sao Paulo: Refers to companies located in cities as Guarulhos, Osasco, Mauá and Mogi das Cruzes, but does not include São Paulo City. Interior of Sao Paulo: Refers to companies located in cities as Campinas, Limeira, Jundiaí, Sorocaba and São José dos Campos. Other States: Refers to companies located in the States of Rio de Janeiro, Minas Gerais, Rio Grande do Sul, Santa Catarina, Paraná, Bahia, Pernambuco, Ceará, Amazonas, Goiás and Espírito Santo.