Global Transportation Predictive Analytics Market Expected to Reach USD 68.07 Billion by 2032

In a recent market analysis, the global transportation predictive analytics market has been projected to exhibit substantial growth, reaching a valuation of USD 9.68 Billion by 2022, with a remarkable revenue Compound Annual Growth Rate (CAGR) of 21.6% during the forecast period. This growth is primarily attributed to the increasing adoption of smart transportation initiatives and Advanced Traffic Management Systems (ATMs) worldwide, coupled with the rising urban population and high demographic rates.

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Market Drivers:

The market's upward trajectory is fueled by various factors, including the proliferation of smart city development initiatives worldwide, leading to a higher adoption of transportation analytics solutions for intelligent transport systems. Notably, substantial government investments, such as the USD 63 billion allocated by the U.S. Department of Transportation for major infrastructure projects, are driving the market growth.

Furthermore, the escalating number of passengers and commercial vehicles has intensified traffic congestion, prompting the integration of analytics into intelligent transport systems to mitigate jams, divert traffic, and minimize collision risks. City planners are leveraging data collection and modeling techniques to optimize public transportation and traffic flow, thereby enhancing commuter safety and connectivity.

Market Restraints:

Despite the promising growth prospects, stringent transportation regulations pose a significant barrier to market expansion. Companies operating in the transportation predictive analytics sector are obligated to comply with stringent rules and regulations imposed by governments, potentially impeding revenue growth to some extent.

Segment Insights:

Transportation Predictive Analytics Type:

• Descriptive Segment: Expected to dominate the market, driven by increasing adoption of big data and advancements in digital technology, facilitating the summarization of vast amounts of data for meaningful insights.

• Prescriptive Segment: Anticipated to register the fastest growth rate, empowering transport companies and stakeholders with informed decision-making capabilities, thereby enhancing profitability, easing traffic congestion, reducing carbon emissions, and improving road safety.

•
Transportation Predictive Analytics Deployment:

• On-Premise Segment: Likely to maintain dominance owing to organizations' preference for maintaining control over sensitive logistics, operations, and customer data within their infrastructure for enhanced security and compliance with data protection regulations.

• Cloud Segment: Expected to witness rapid growth due to the scalability, flexibility, and security aspects offered by cloud technology, empowering transportation analytics solutions with greater utility and accessibility.

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Transportation Predictive Analytics Application:
• Traffic Management Segment: Projected to hold the largest market share, with solutions addressing traffic congestions and accidents while reducing vehicle carbon emissions, thereby offering environmentally-friendly traffic solutions.

• Logistics Management Segment: Expected to register the fastest CAGR, driven by real-time visibility and tracking of goods in transit, enabling informed decision-making, bottleneck addressing, and proactive exception management for logistics managers.

Some of the major companies included in the global transportation predictive analytics market report are:
• IBM
• Sisense Ltd.
• Oracle
• Cubic Corporation
• INRIX
• Cellint
• Alteryx
• Hitachi, Ltd.
• SmartDrive Systems, Inc.
• Omnitracs
• Trimble
• CARTO
• Envista
• TomTom
• Conduent
• Thales Group

The global transportation predictive analytics market is poised for significant expansion driven by the convergence of technological advancements, government initiatives, and evolving consumer demands. As transportation systems continue to evolve, the integration of predictive analytics will play a pivotal role in optimizing operations, enhancing safety, and fostering sustainability.

For the purpose of this report, Emergen Research has segmented the global transportation predictive analytics market on the basis of type, mode, deployment, application, and region:

• Type Outlook (Revenue, USD Billion; 2019-2032)
o Descriptive
o Predictive
o Prescriptive

• Mode Outlook (Revenue, USD Billion; 2019-2032)
o Roadways
o Railways
o Airways
o Waterways

• Deployment Outlook (Revenue, USD Billion; 2019-2032)
o Cloud
o On-premise
o Hybrid

• Application Outlook (Revenue, USD Billion; 2019-2032)
o Traffic management
o Logistics management
o Planning & maintenance
o Others

• Regional Outlook (Revenue, USD Billion; 2019-2032)
o North America
1. U.S.
2. Canada
3. Mexico
o Europe
1. Germany
2. France
3. U.K.
4. Italy
5. Spain
6. Benelux
7. Rest of Europe
o Asia Pacific
1. China
2. India
3. Japan
4. South Korea
5. Rest of APAC
o Latin America
1. Brazil
2. Rest of LATAM
o Middle East & Africa
1. Saudi Arabia
2. UAE
3. South Africa
4. Turkey
5. Rest of MEA

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