中東およびアフリカの予知保全市場 – 2029 年までの業界動向と予測

市場分析と規模

予測メンテナンスは、ROI の大幅な向上につながることが知られています。メンテナンス コストを最大 25% ～ 30% 削減し、故障を 70% ～ 75% に減らし、ダウンタイムを 35% ～ 45% に短縮できます。これらのサービスは、企業の全体的なコストを節約するため、広く導入されています。

中東およびアフリカの予知保全市場は、2021年に4億9,715万米ドルと評価され、2029年には2億5,878.63万米ドルに達し、2022年から2029年の予測期間中に37.70%のCAGRを記録すると予想されています。製造業は、製造業における自動化の増加により、それぞれの市場で最大の垂直セグメントを占めています。市場価値、成長率、市場セグメント、地理的範囲、市場プレーヤー、市場シナリオなどの市場洞察に加えて、データブリッジ市場調査チームがまとめた市場レポートには、詳細な専門家分析、輸入/輸出分析、価格分析、生産消費分析、ペストル分析も含まれています。

市場の定義

予知保全とは、データ分析技術とツールを活用して業務運営における異常を検出する手法を指します。また、機器やプロセスの潜在的な欠陥も検出し、故障する前に修復できるようにします。

レポートの範囲と市場セグメンテーション

Middle East and Africa Predictive Maintenance Market Dynamics

This section deals with understanding the market drivers, advantages, opportunities, restraints and challenges. All of this is discussed in detail as below:

Drivers

• Need to Obtain New Insights

The increase in need to aggregate and explore textual data to obtain new insights acts as one of the major factors driving the predictive maintenance market. The incorporation of industry technology, knowledge, and practices to drive business outcomes has a positive impact on the market.

• Emergence of Big Data Analytics

The rise in the emergence of big data analytics across the region accelerate the market growth. Numerous enterprises are focusing on combining disparate internal data along with external data sources for acquiring new efficiencies assist in the expansion of the market.

• Prevent Unplanned Reactive Maintenance

The increase in the adoption of predictive maintenance programs to prevent unplanned reactive maintenance further influence the market. These services allows the maintenance frequency to be as low as possible for preventing unplanned reactive maintenance without incurring costs.

Additionally, rapid urbanization, change in lifestyle, surge in investments and increased consumer spending positively impact the predictive maintenance market.

Opportunities

Furthermore, need for real-time condition monitoring to assist in taking prompt actions and rise in internet proliferation extend profitable opportunities to the market players in the forecast period of 2022 to 2029. The increase in the usage of connected and integrated technologies will further expand the market.

Restraints/Challenges

On the other hand, factors such as data security concerns along with requirement of frequent maintenance and up gradation to keep the systems updated are expected to obstruct market growth. Also, lack of skilled workforce and complications with ownership and privacy of collected data are projected to challenge the predictive maintenance market in the forecast period of 2022-2029.

This predictive maintenance market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on predictive maintenance market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.

COVID-19 Impact on Middle East and Africa Predictive Maintenance Market

The COVID-19 pandemic had a positive impact on the predictive maintenance market. It helped millions of people globally in leveraging advanced tools for various applications. The surge in the in investments by various SMEs and large enterprises in technologies such as like AI and machine learning for improving business operations. These services were highly useful during the pandemic due to the high need for remote monitoring and management of assets and business processes. The predictive maintenance is expected to witness high growth Post-COVID-19 due to the adoption of smart manufacturing processes using AI, and IoT technologies.

Middle East and Africa Predictive Maintenance Market Scope and Market Size

The predictive maintenance market is segmented on the basis of components, deployment mode, organisation size and vertical. The growth amongst these segments will help you analyze meager growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.

Components

• Solution
• Services

Deployment Mode

• Cloud
• On-Premise

Organisation Size

• Large Enterprises
• Small and Medium-Sized Enterprises

Vertical

• Manufacturing
• Energy and Utilities
• Transportation
• Government
• Healthcare
• Aerospace and Defense
• Others

Middle East and Africa Predictive Maintenance Market Regional Analysis/Insights

The predictive maintenance market is analysed and market size insights and trends are provided by country, components, deployment mode, organisation size and vertical as referred above.

The countries covered in the predictive maintenance market report are Saudi Arabia, U.A.E, Israel, Egypt, South Africa, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA).

South Africa accounted largest market share is due to increasing concern towards improvement of uptime of equipment and maintenance cost reduction.

The country section of the report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.   

Competitive Landscape and Middle East and Africa Predictive Maintenance Market

予知保全市場の競争状況は、競合他社ごとに詳細を提供します。含まれる詳細には、会社概要、会社の財務状況、収益、市場の可能性、研究開発への投資、新しい市場への取り組み、世界的なプレゼンス、生産拠点と施設、生産能力、会社の強みと弱み、製品の発売、製品の幅と広さ、アプリケーションの優位性などがあります。提供されている上記のデータ ポイントは、予知保全市場に関連する会社の焦点にのみ関連しています。

予知保全市場で活動している主要企業には、

• IBM（米国）
• SAP SE（ドイツ）
• マイクロソフト（米国）
• シーメンス（ドイツ）
• ゼネラル・エレクトリック（米国）
• シュナイダーエレクトリック（フランス）
• ソフトウェアAG（ドイツ）
• C3.ai, Inc.（米国）
• DINGO Software Pty. Ltd. (オーストラリア)
• Splunk Inc. (米国)
• オラクル（米国）
• Amazon Web Services, Inc. (米国)
• 日立製作所（日本）
• ABB（スウェーデン）
• Huawei Technologies Co., Ltd.（中国）
• インテルコーポレーション（米国）
• SKF（スウェーデン）

SKU-56994