In 2019, the domestic sales of heavy vehicles registered a third consecutive annual expansion due to the recovery of the Brazilian economy following the 2015-2016 recession. Output fell slightly by 0.1% y/y, while exports were down by 34.6% y/y in value and by 42.1% y/y in volume due to lower sales to Argentina. In 2020, the COVID-19 pandemic led to two-digit annual falls in output, domestic sales and exports of heavy vehicles. However, in 2021, the regional economic recovery led to a strong rebound in the demand for heavy vehicles. Domestic sales increased by 37.8% y/y in 2021, to 142,741 units, while export volume rose by 49.4% y/y to 34,934 units. This was accompanied by a solid 61% y/y expansion in heavy vehicle output, to 185,762 units. Output and domestic sales reported the largest volume for the 2016-2021 period, while exports reached the largest volume since 2018. Trucks accounted for the bulk of production, sales and exports in the heavy vehicle segment, being the main growth driver in 2021 as well.

The Indonesian automotive market is highly concentrated, with a few players accounting for the bulk of sales. In 2021, the top three brands controlled 63% of new motor vehicle sales (PCs and CVs), while the top five accounted for 84%. Japanese manufacturers are dominant both in terms of production and sales as they enjoy strong brand awareness and have built extensive dealership networks across the country. In addition, most of them have local plants and benefit from Indonesia’s relatively cheap workforce and low taxes, which decrease their production costs. The European brands have negligible market share, as they are positioned mainly in the premium segment. Chinese automakers have pledged to aggressively enter the market, but, so far, their penetration has been limited.

Establishments described in this report are primarily participating in the tokenization market. Tokenization, when applied to data security, is the process of substituting a sensitive data element with a non-sensitive equivalent, referred to as a token, that has no extrinsic or exploitable meaning or value. The token is a reference that maps back to the sensitive data through a tokenization system.

Establishments described in this report are primarily participating in the tokenization market. Tokenization, when applied to data security, is the process of substituting a sensitive data element with a non-sensitive equivalent, referred to as a token, that has no extrinsic or exploitable meaning or value. The token is a reference that maps back to the sensitive data through a tokenization system.

In 2019, annual GDP growth rate registered to be positive however in 2017, Saudi Arabia recorded a negative growth in year 2017 owing to the government move to cut oil output led by the conditions of new extended OPEC agreement.  The year 2020 came as an episode of drastic recession for almost the entire globe due to COVID-19 pandemic. It was anticipated as the worst economic fallout after Great Depression in 1929. Almost all sectors/industries worldwide. The global GDP stood at -3.3% in 2020. China was the only economy to experience a positive growth rate of 2.3% in 2020 despite a 6.8% downturn in the quarter ending March 2020.

Establishments described in this report are primarily participating in the unified monitoring market. Unified Monitoring is an integrated platform that monitors your entire IT infrastructure, including physical, virtual, and cloud. It's a proven strategy for reducing service outages, increasing end user and IT productivity, optimizing capital investment, and maintaining industry compliance.

The connected car ecosystem consists of a vehicle equipped with certain V2X, the infrastructure that contains it, and the network infrastructure that the vehicle and the infrastructure use to communicate with each other. Testing equipment covered therefore includes components that are used to evaluate and validate the radio frequency (RF) conformance in the vehicle and the infrastructure, the ethernet embedded in the automobile, and the overall network infrastructure.

Big data describes a large volume of data that is used to reveal patterns, trends, and associations, especially related to human behavior and interactions. For the retail industry, big data is used for a greater understanding of consumer shopping habits and how to attract new customers. Big data analytics in retail enables companies to create customer recommendations based on their purchase history, resulting in personalized shopping experiences. These big data analytics solutions also help in forecasting trends and making strategic decisions based on market analysis.

Big data describes a large volume of data that is used to reveal patterns, trends, and associations, especially related to human behavior and interactions. For the retail industry, big data is used for a greater understanding of consumer shopping habits and how to attract new customers. Big data analytics in retail enables companies to create customer recommendations based on their purchase history, resulting in personalized shopping experiences. These big data analytics solutions also help in forecasting trends and making strategic decisions based on market analysis. This report features information on big data analytics in retail and services offered by key vendors. Furthermore, it highlights strategies adopted by key market players to improve their market share and sustain competition.

Banking and financial services outsourcing refers to the use of third party vendors to deliver services or perform tasks, which is normally undertaken by financial institutions. The objective behind its adoption among banks and financial institutions is to make it easier for them to dedicate their time and resources to core business and operations. Banking business process outsourcing (BPO) is a strategic tool that supports banks for its business growth and account servicing functions. The third party financial services provider may be offshore on onshore. The report focuses on the growth prospects, restraints, and trends of the global BFSI BPO services market analysis. The study provides Porter’s five forces analysis to understand the impact of various factors such as bargaining power of suppliers, competitive intensity of competitors, threat of new entrants, threat of substitutes, and bargaining power of buyers on the global BFSI BPO services market.