Analyzing the Future of Growth in Transportation Analytics Market Boom| IBM, Siemens, Cubic

Advance Market Analytics added research publication document on Worldwide Transportation Analytics Market breaking major business segments and highlighting wider level geographies to get deep dive analysis on market data. The study is a perfect balance bridging both qualitative and quantitative information of Worldwide Transportation Analytics market. The study provides valuable market size data for historical (Volume** & Value) from 2018 to 2023 which is estimated and forecasted till 2028*. Some are the key & emerging players that are part of coverage and have being profiled are IBM (United States), Siemens(Germany), Cubic (United States), Cellint (Israel), Alteryx (United States), Kapsch Trafficcom (Austria), INRIX (United States), Indra Sistema (Spain), Trimble (United States), TomTom (Netherland).

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The global transportation systems and analytics market are expected potential growth in the next few years, due to Rapid globalization, high travel convenience, and hyper-urbanization. Transportation analytics helps in extracting all the data related to transportation and provides actionable insights. It involves high-performance reporting and analysis tools to measure the performance of transport logistics. Transportation data from a variety of different sources automatically flows into an analysis system in a secure way. It is then associated together and processed to generate detailed figures and reports. Escalating the need for improved access to resources, customer base, and systems that provide proficient control to companies to efficiently manage vehicle traffic may spur demand.

In January 2019, Cubic has acquired GRIDSMART Technologies a market-leading, technology-driven business with a differentiated video tracking offering for the Intelligent Traffic Systems for approximately USD 87 million in cash. This acquisition helps to expand intelligent traffic management offering.

Keep yourself up-to-date with latest market trends and changing dynamics due to COVID Impact and Economic Slowdown globally. Maintain a competitive edge by sizing up with available business opportunity in Transportation Analytics Market various segments and emerging territory.

Influencing Market Trend
• Government Initiatives for Smart Cities
• Rising Urban Population and High Demographic Rates
Market Drivers
• Growing Adoption of Connected and Smart Technologies in Transportation Infrastructure
Opportunities:
• Designing and Developing Connected Vehicles Compatible With Its
• Evolution of Semi-Autonomous and Autonomous Vehicles
Challenges:
• Moving Diversified Portfolio of Goods to the Growing Marketplace
• Integration Complexities Over Legacy Systems and Network

Analysis by Type (Descriptive Analytics, Predictive Analytics, Prescriptive Analytics), Application (Remote sensing, Transit management, Traffic incident management, Others), Products (Displays, Traffic sensors, Electronic access, Mobility, Others), Solutions (Analytics solution, Advanced transportation control system, Management solutions), Verticals (Roadways, Railways, Airways, Seaways, Others)

Competitive landscape highlighting important parameters that players are gaining along with the Market Development/evolution
• % Market Share, Segment Revenue, Swot Analysis for each profiled company [IBM (United States), Siemens(Germany), Cubic (United States), Cellint (Israel), Alteryx (United States), Kapsch Trafficcom (Austria), INRIX (United States), Indra Sistema (Spain), Trimble (United States), TomTom (Netherland)]
• Business overview and Product/Service classification
• Product/Service Matrix [Players by Product/Service comparative analysis]
• Recent Developments (Technology advancement, Product Launch or Expansion plan, Manufacturing and R&D etc)
• Consumption, Capacity & Production by Players

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The regional analysis of Global Transportation Analytics Market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. North America is the leading region across the world. Whereas, owing to rising no. of research activities in countries such as China, India, and Japan, Asia Pacific region is also expected to exhibit higher growth rate the forecast period 2023-2028.

In May 2019, IBM partnered with Maersk, a Danish transport and logistics company, to create a blockchain-based shipping and supply chain company. The primary goal of the venture is to commercialize blockchain for all aspects of the global supply chain system, ranging from shipping to ports and banks to customs offices.

Table of Content
Chapter One: Industry Overview
Chapter Two: Major Segmentation (Classification, Application and etc.) Analysis
Chapter Three: Production Market Analysis
Chapter Four: Sales Market Analysis
Chapter Five: Consumption Market Analysis
Chapter Six: Production, Sales and Consumption Market Comparison Analysis
Chapter Seven: Major Manufacturers Production and Sales Market Comparison Analysis
Chapter Eight: Competition Analysis by Players
Chapter Nine: Marketing Channel Analysis
Chapter Ten: New Project Investment Feasibility Analysis
Chapter Eleven: Manufacturing Cost Analysis
Chapter Twelve: Industrial Chain, Sourcing Strategy and Downstream Buyers

Read Executive Summary and Detailed Index of full Research Study @ https://www.advancemarketanalytics.com/reports/123567-global-transportation-analytics-market#utm_source=OpenPR/Rahul

Highlights of the Report
• The future prospects of the global Transportation Analytics market during the forecast period 2023-2028 are given in the report.
• The major developmental strategies integrated by the leading players to sustain a competitive market position in the market are included in the report.
• The emerging technologies that are driving the growth of the market are highlighted in the report.
• The market value of the segments that are leading the market and the sub-segments are mentioned in the report.
• The report studies the leading manufacturers and other players entering the global Transportation Analytics market.

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This release was published on openPR.