The article cited AMA's Global IoT Analytics Software Market Study explored significant growth with CAGR of 28.45%. According to the report, The Increasing Need for Real-Time Data Across Various Verticals including Connected Logistics, Autonomous Vehicles, and Others is one of the primary growth factors for the market. Increasing Deployment of Automation in Various Industry is also expected to contribute significantly to the IoT Analytics Software market. Overall, Energy Management applications of IoT Analytics Software, and the growing awareness of them, is what makes this segment of the industry important to its overall growth. New players are beginning to enter the market and established companies have been changing their business models – a trend that will continue in the future.

AMA’s Analyst on the Global IoT Analytics Software Market identified that the demand is rising in many different parts of the world due to "Rising Trend of Automation in Industry 4.0 in both Developed and Developing Countries". Furthermore, some recent industry insights like "In November 2022 IBM has announced new software designed to help enterprises break down data and analytics silos so they can make data-driven decisions quickly and navigate unpredictable disruptions. IBM Business Analytics Enterprise is a suite of business intelligence planning, budgeting, reporting, forecasting, and dashboard capabilities that provides users with a robust view of data sources across their entire business." is constantly making the industry dynamic. One of the challenges that industry facing is "The Increasing Issues Associated with Processing and Ownership of Data Across Various Industry Verticals"

The Deployment Mode, such as Cloud-Based, is boosting the IoT Analytics Software market. Additionally, the rising demand from SMEs and various industry verticals, macro-economic growth are the prime factors driving the growth of the market.

The Organization Size, such as Small & Medium Enterprises (SMEs), is boosting the IoT Analytics Software market. Additionally, the rising demand from SMEs and various industry verticals, macro-economic growth are the prime factors driving the growth of the market.

The Industry Verticals, such as Healthcare, is boosting the IoT Analytics Software market. Additionally, the rising demand from SMEs and various industry verticals, macro-economic growth are the prime factors driving the growth of the market.

The Analytics Type, such as Predictive Analytics, is boosting the IoT Analytics Software market. Additionally, the rising demand from SMEs and various industry verticals, macro-economic growth are the prime factors driving the growth of the market.

The Pricing Type, such as Monthly Subscription, is boosting the IoT Analytics Software market. Additionally, the rising demand from SMEs and various industry verticals, macro-economic growth are the prime factors driving the growth of the market.

The report provides an in-depth analysis and forecast about the industry covering the following key features:
o Industry outlook including current and future market trends, drivers, restraints, and emerging technologies
o Analyses the Global IoT Analytics Software market according to Type, Application, and regions
o Analyzes the top 10 players in terms of market reach, business strategy, and business focus
o Provides stakeholders’ insights and key drivers & trends of the market

Market Size Estimation
In market engineering method, both top-down and bottom-up approaches have been used, along with various data triangulation process, to predict and validate the market size of the IoT Analytics Software market and other related sub-markets covered in the study.

o Key & emerging players in the IoT Analytics Software market have been observed through secondary research.
o The industry’s supply chain and overall market size, in terms of value, have been derived through primary and secondary research processes.
o All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources.

Data Triangulation
The overall IoT Analytics Software market size is calculated using market estimation process, the IoT Analytics Software market was further split into various segments and sub-segments. To complete the overall market engineering and arriving at the exact statistics for all segments and sub-segments, the market breakdown and data triangulation procedures have been utilized, wherever applicable. The data have been triangulated by studying various influencing factors and trends identified from both demand and supply sides of various applications involved in the study. Along with this, the Global IoT Analytics Software market size has been validated using both top-down and bottom-up approaches.