Generative Design Market - Global Forecast to 2023: Rising Need for Advanced Product Design Software to Drive Product Innovation


Dublin, March 26, 2019 (GLOBE NEWSWIRE) -- The "Generative Design Market by Application (Product Design & Development and Cost Optimization), Component, Deployment Model, Industry Vertical (Automotive, Aerospace & Defense, Industrial Manufacturing), and Region - Global Forecast to 2023" report has been added to ResearchAndMarkets.com's offering.

The global generative design market to grow from USD 111 million in 2018 to USD 275 million by 2023, at a CAGR of 19.9% during the forecast period.

The generative design market is growing rapidly with the rising need for advanced product design software, a growing demand for environment-friendly architecture, and enhanced production efficiency. However, the complexity of using generative design software would limit the growth of the market.

Product design, prototyping, and Computer-aided Design (CAD) play a crucial role in the manufacturing industry. Advancements in CAD enable users to define the geometric constraints and relationships between geometric parameters, which has significantly increased design productivity and paved the way for integration between CAD and simulation and mathematical modeling tools.

The advancements in artificial intelligence, cloud computing, machine learning, and generative algorithms have revolutionized manufacturing design. This has automated human tasks as computers generate multiple design alternatives for designers and engineers based on a certain set of constraints.

Generative design software creates mechanical designs independently based on algorithms. It takes inputs in the form of material type, design specifications, manufacturing methods, and cost constraints and explores all the possible permutations of a solution and quickly creates design alternatives using cloud computing.

Generative design helps drive innovation, improve manufacturability, and improve quality with the potential to transform 3D printing and additive manufacturing. It leads to the reduced weight of components, reduced development time, increased creativity, increased efficiency, and customized product development. It finds a wide application across the automotive, industrial manufacturing, and aerospace & defense industries. The software has also started to gain traction from industries such as building, architecture, construction, and consumer goods.

Major players operating in the market include Autodesk (US), Altair (US), ANSYS (US), MSC Software (US), Dassault Systmes (France), ESI Group (France), Bentley Systems (US), Desktop Metal (US), nTopology (US), and Paramatters (US).

Key Topics Covered:

1 Introduction

2 Research Methodology

3 Executive Summary

4 Premium Insights
4.1 Attractive Opportunities in the Generative Design Market
4.2 Market Share, By Component
4.3 Market By Deployment Model
4.4 Market By Industry Vertical
4.5 Market By Region

5 Market Overview and Industry Trends
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Need for Advanced Design Software to Drive Product Innovation
5.2.1.2 Growing Demand for Environment-Friendly Architecture
5.2.1.3 Enhanced Production Efficiency
5.2.2 Restraints
5.2.2.1 Complexity in Using Generative Design Software
5.2.3 Opportunities
5.2.3.1 Emerging Applications Across Various Industries
5.2.3.2 Technological Advancements in AI and Cloud Computing
5.2.4 Challenges
5.2.4.1 Integration Complexities
5.3 Industry Trends
5.4 Generative Design Market: Use Cases
5.4.1 Use Case 1: Reducing Weight and Optimizing Performance of Vehicles Using Generative Design Software
5.4.2 Use Case 2: Reducing Weight and Creating Strong Components With Generative Design Software
5.4.3 Use Case 3: Reducing Weight and Creating Easy-To-Use Products With Generative Design Software
5.5 Generative Design Process Flow

6 Generative Design Market By Component
6.1 Introduction
6.2 Software
6.2.1 Need to Improve Production Efficiency Would Drive the Growth of Generative Design Software
6.3 Services
6.3.1 Design & Consulting
6.3.1.1 The Need to Explore New Avenues for Improving Business Performance to Drive Growth of Consulting Services
6.3.2 Support & Maintenance
6.3.2.1 Complexity of Operations and the Need for Regular Assistance During the Software Lifecycle to Foster Growth of Support & Maintenance

7 Generative Design Market By Application
7.1 Introduction
7.2 Product Design & Development
7.2.1 Generative Design Software Can Produce A Wide Range of Complex Design Alternatives in Minimal Time
7.3 Cost Optimization
7.3.1 The Use of Generative Design Results in Lower Material and Shipping Costs
7.4 Others

8 Generative Design Market By Deployment Model
8.1 Introduction
8.2 On-Premises
8.2.1 Data Security and Privacy Concerns to Drive Demand for On-Premise Generative Design Software
8.3 Cloud
8.3.1 On-The-Go Access to Generative Design Software to Drive Adoption of Cloud Deployment

9 Generative Design Market By Industry Vertical
9.1 Introduction
9.2 Automotive
9.2.1 Need for Advanced Design Software to Reduce Production and Material Costs to Drive Demand
9.3 Aerospace & Defense
9.3.1 Need for Lightweight Components and Energy Performance Optimization to Drive Adoption of Generative Design
9.4 Industrial Manufacturing
9.4.1 The Use of Machine Learning to Create Multiple Design Iterations to Increase Adoption of Generative Design
9.5 Building
9.5.1 Initiatives to Construct Eco-Friendly Buildings to Spur the Demand for Generative Design
9.6 Architecture & Construction
9.6.1 Need for Optimized Construction Time, Logistics, and Material Costs to Drive Adoption Across Architecture & Construction Sector
9.7 Others

10 Generative Design Market By Region

11 Competitive Landscape
11.1 Overview
11.2 Competitive Scenario
11.2.1 New Product Launches and Product Enhancements
11.2.2 Acquisitions, Partnerships, and Collaborations
11.3 Generative Design Market: Prominent Players

12 Company Profiles
12.1 Altair
12.2 Bentley Systems
12.3 Autodesk
12.4 Ansys
12.5 Desktop Metal
12.6 Dassault Systmes
12.7 MSC Software
12.8 ESI Group
12.9 Ntopology
12.10 Paramatters

For more information about this report visit https://www.researchandmarkets.com/research/c7v3k7/generative_design?w=12

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